WorldWideScience

Sample records for association analysis identifies

  1. Identifying Proper Names Based on Association Analysis

    Institute of Scientific and Technical Information of China (English)

    2007-01-01

    The issue of proper names recognition in Chinese text was discussed. An automatic approach based on association analysis to extract rules from corpus was presented. The method tries to discover rules relevant to external evidence by association analysis, without additional manual effort. These rules can be used to recognize the proper nouns in Chinese texts. The experimental result shows that our method is practical in some applications.Moreover, the method is language independent.

  2. A meta-analysis of genome-wide association studies identifies novel variants associated with osteoarthritis of the hip

    DEFF Research Database (Denmark)

    Evangelou, Evangelos; Kerkhof, Hanneke J; Styrkarsdottir, Unnur

    2014-01-01

    Osteoarthritis (OA) is the most common form of arthritis with a clear genetic component. To identify novel loci associated with hip OA we performed a meta-analysis of genome-wide association studies (GWAS) on European subjects.......Osteoarthritis (OA) is the most common form of arthritis with a clear genetic component. To identify novel loci associated with hip OA we performed a meta-analysis of genome-wide association studies (GWAS) on European subjects....

  3. Genome-wide association analysis identifies six new loci associated with forced vital capacity

    NARCIS (Netherlands)

    D.W. Loth (Daan); M.S. Artigas; S.A. Gharib (Sina); L.V. Wain (Louise); N. Franceschini (Nora); B. Koch (Beate); T.D. Pottinger (Tess); G.D. Smith; Q. Duan (Qing); C. Oldmeadow (Christopher); M.K. Lee (Mi Kyeong); D.P. Strachan (David); A.L. James (Alan); J.E. Huffman (Jennifer); V. Vitart (Veronique); A. Ramasamy (Adaikalavan); N.J. Wareham (Nick); J. Kaprio (Jaakko); X.-Q. Wang (Xin-Qun); H. Trochet (Holly); M. Kähönen (Mika); C. Flexeder (Claudia); E. Albrecht (Eva); L.M. Lopez (Lorna); B. Thyagarajan (Bharat); A.C. Alves (Alexessander Couto); S. Enroth (Stefan); E. Omenaas (Ernst); P.K. Joshi (Peter); M. Fall (Magnus); A. Viñuela (Ana); L.J. Launer (Lenore); L.R. Loehr (Laura); M. Fornage (Myriam); G. Li (Guo); J.B. Wilk (Jemma); W. Tang (Wenbo); A. Manichaikul (Ani); L. Lahousse (Lies); T.B. Harris (Tamara); K.E. North (Kari); A.R. Rudnicka (Alicja); J. Hui (Jennie); X. Gu (Xiangjun); T. Lumley (Thomas); A.F. Wright (Alan); N. Hastie (Nick); S. Campbell (Susan); R. Kumar (Rajesh); I. Pin (Isabelle); R.A. Scott (Robert); K.H. Pietilainen (Kirsi Hannele); I. Surakka (Ida); Y. Liu (Yongmei); E.G. Holliday (Elizabeth); H. Schulz (Holger); J. Heinrich (Joachim); G. Davies (Gail); J.M. Vonk (Judith); M.K. Wojczynski (Mary ); A. Pouta (Anneli); A. Johansson (Åsa); S.H. Wild (Sarah); E. Ingelsson (Erik); F. Rivadeneira Ramirez (Fernando); H. Völzke (Henry); P.G. Hysi (Pirro); G. Eiriksdottir (Gudny); A.C. Morrison (Alanna); J.I. Rotter (Jerome); W. Gao (Wei); D.S. Postma (Dirkje); W.B. White (Wendy); S.S. Rich (Stephen); A. Hofman (Albert); T. Aspelund (Thor); D. Couper (David); L.J. Smith (Lewis); B.M. Psaty (Bruce); K. Lohman (Kurt); E.G. Burchard (Esteban); A.G. Uitterlinden (André); M. Garcia (Melissa); B.R. Joubert (Bonnie); W.L. McArdle (Wendy); A.W. Musk (Arthur); C.R.W. Hansel (Christian); S.R. Heckbert (Susan); L. Zgaga (Lina); J.B.J. van Meurs (Joyce); P. Navarro (Pau); I. Rudan (Igor); Y.-M. Oh (Yeon-Mok); S. Redline (Susan); D.L. Jarvis (Deborah); J.H. Zhao (Jing); T. Rantanen (Taina); G.T. O'Connor (George); S. Ripatti (Samuli); R.J. Scott (Rodney); S. Karrasch (Stefan); H. Grallert (Harald); N.C. Gaddis (Nathan); J.M. Starr (John); C. Wijmenga (Cisca); R.L. Minster (Ryan); C.W. Lederer (Carsten); J. Pekkanen (Juha); U. Gyllensten (Ulf); H. Campbell (Harry); A.P. Morris (Andrew); S. Gläser (Sven); C.J. Hammond (Christopher); K.M. Burkart (Kristin); J.P. Beilby (John); S.B. Kritchevsky (Stephen); V. Gudnason (Vilmundur); D.B. Hancock (Dana); O.D. Williams (Dale); O. Polasek (Ozren); T. Zemunik (Tatijana); I. Kolcic (Ivana); M.F. Petrini (Marcy); K.T. de Jong (Kim); M. Wjst (Matthias); W.H. Kim (Woo); D.J. Porteous (David J.); G. Scotland (Generation); B.H. Smith (Blair); A. Viljanen (Anne); M. Heliovaara (Markku); J. Attia (John); I. Sayers (Ian); R. Hampel (Regina); C. Gieger (Christian); I.J. Deary (Ian); H.M. Boezen (Marike); A.B. Newman (Anne); M.-R. Jarvelin (Marjo-Riitta); J.F. Wilson (James); L. Lind (Lars); B.H.Ch. Stricker (Bruno); A. Teumer (Alexander); T.D. Spector (Timothy); E. Melén (Erik); M.J. Peters (Marjolein); L.A. Lange (Leslie); R.G. Barr (Graham); K.R. Bracke (Ken); F.M. Verhamme (Fien); J. Sung (Joohon); P.S. Hiemstra (Pieter); P.A. Cassano (Patricia); A. Sood (Akshay); C. Hayward (Caroline); J. Dupuis (Josée); I.P. Hall (Ian); G.G. Brusselle (Guy); M.D. Tobin (Martin); S.J. London (Stephanie)

    2014-01-01

    textabstractForced vital capacity (FVC), a spirometric measure of pulmonary function, reflects lung volume and is used to diagnose and monitor lung diseases. We performed genome-wide association study meta-analysis of FVC in 52,253 individuals from 26 studies and followed up the top associations in

  4. Genome-wide association analysis identifies six new loci associated with forced vital capacity

    NARCIS (Netherlands)

    Loth, Daan W.; Artigas, Maria Soler; Gharib, Sina A.; Wain, Louise V.; Franceschini, Nora; Koch, Beate; Pottinger, Tess D.; Smith, Albert Vernon; Duan, Qing; Oldmeadow, Chris; Lee, Mi Kyeong; Strachan, David P.; James, Alan L.; Huffman, Jennifer E.; Vitart, Veronique; Ramasamy, Adaikalavan; Wareham, Nicholas J.; Kaprio, Jaakko; Wang, Xin-Qun; Trochet, Holly; Kaonen, Mika; Flexeder, Claudia; Albrecht, Eva; Lopez, Lorna M.; de Jong, Kim; Thyagarajan, Bharat; Alves, Alexessander Couto; Enroth, Stefan; Omenaas, Ernst; Joshi, Peter K.; Fall, Tove; Vinuela, Ana; Launer, Lenore J.; Loehr, Laura R.; Fornage, Myriam; Li, Guo; Wik, Jemma B.; Tang, Wenbo; Manichaikul, Ani; Lahousse, Lies; Harris, Tamara B.; North, Kari E.; Rudnicka, Alicja R.; Hui, Jennie; Gu, Xiangjun; Lumley, Thomas; Wright, Alan F.; Hastie, Nicholas D.; Campbell, Susan; Kumar, Rajesh; Pin, Isabelle; Scott, Robert A.; Pietilainen, Kirsi H.; Surakka, Ida; Liu, Yongmei; Holliday, Elizabeth G.; Schulz, Holger; Heinrich, Joachim; Davies, Gail; Vonk, Judith M.; Wojczynski, Mary; Pouta, Anneli; Johansson, Asa; Wild, Sarah H.; Ingelsson, Erik; Rivadeneira, Fernando; Voezke, Henry; Hysi, Pirro G.; Eiriksdottir, Gudny; Morrison, Alanna C.; Rotter, Jerome I.; Gao, Wei; Postma, Dirkje S.; White, Wendy B.; Rich, Stephen S.; Hofman, Albert; Aspelund, Thor; Couper, David; Smith, Lewis J.; Psaty, Bruce M.; Lohman, Kurt; Burchard, Esteban G.; Uitterlinden, Andre G.; Garcia, Melissa; Joubert, Bonnie R.; McArdle, Wendy L.; Musk, A. Bill; Hansel, Nadia; Heckbert, Susan R.; Zgaga, Lina; van Meurs, Joyce B. J.; Navarro, Pau; Rudan, Igor; Oh, Yeon-Mok; Redline, Susan; Jarvis, Deborah L.; Rantanen, Taina; O'Connor, George T.; Ripatti, Samuli; Scott, Rodney J.; Karrasch, Stefan; Grallert, Harald; Gaddis, Nathan C.; Starr, John M.; Wijmenga, Cisca; Minster, Ryan L.; Lederer, David J.; Pekkanen, Juha; Gyllensten, Ulf; Campbe, Harry; Morris, Andrew P.; Glaeser, Sven; Hammond, Christopher J.; Burkart, Kristin M.; Beilby, John; Kritchevsky, Stephen B.; Gucinason, Vilrnundur; Hancock, Dana B.; Williams, Dale; Polasek, Ozren; Zemunik, Tatijana; Kolcic, Ivana; Petrini, Marcy F.; Wjst, Matthias; Kim, Woo Jin; Porteous, David J.; Scotland, Generation; Smith, Blair H.; Villanen, Anne; Heliovaara, Markku; Attia, John R.; Sayers, Ian; Hampel, Regina; Gieger, Christian; Deary, Ian J.; Boezen, Hendrika; Newman, Anne; Jarvelin, Marjo-Riitta; Wilson, James F.; Lind, Lars; Stricker, Bruno H.; Teumer, Alexander; Spector, Timothy D.; Melen, Erik; Peters, Marjolein J.; Lange, Leslie A.; Barr, R. Graham; Bracke, Ken R.; Verhamme, Fien M.; Sung, Joohon; Hiemstra, Pieter S.; Cassano, Patricia A.; Sood, Akshay; Hayward, Caroline; Dupuis, Josee; Hall, Ian P.; Brusselle, Guy G.; Tobin, Martin D.; London, Stephanie J.

    2014-01-01

    Forced vital capacity (FVC), a spirometric measure of pulmonary function, reflects lung volume and is used to diagnose and monitor lung diseases. We performed genome-wide association study meta-analysis of FVC in 52,253 individuals from 26 studies and followed up the top associations in 32,917 addit

  5. A meta-analysis of genome-wide association studies identifies novel variants associated with osteoarthritis of the hip

    NARCIS (Netherlands)

    E. Evangelou (Evangelos); J.M. Kerkhof (Hanneke); U. Styrkarsdottir (Unnur); E.E. Ntzani (Evangelia); S.D. Bos (Steffan); T. Esko (Tõnu); D.S. Evans (Daniel); S. Metrustry (Sarah); K. Panoutsopoulou (Kalliope); Y.F.M. Ramos (Yolande); G. Thorleifsson (Gudmar); K.K. Tsilidis (Konstantinos); N.K. Arden (Nigel); N. Aslam (Nadim); N. Bellamy (Nicholas); F. Birrell (Fraser); F.J. Blanco; A.J. Carr (Andrew Jonathan); K. Chapman (Kay); A.G. Day-Williams (Aaron); P. Deloukas (Panagiotis); M. Doherty (Michael); G. Engström; H.T. Helgadottir (Hafdis); A. Hofman (Albert); T. Ingvarsson (Torvaldur); H. Jonsson (Helgi); A. Keis (Aime); J.C. Keurentjes (J. Christiaan); M. Kloppenburg (Margreet); P.A. Lind (Penelope); A. McCaskie (Andrew); N.G. Martin; A.L. Milani (Alfredo); G.W. Montgomery; R.G.H.H. Nelissen (Rob); M.C. Nevitt (Michael); P. Nilsson (Peter); W.E.R. Ollier (William); N. Parimi (Neeta); A. Rai (Ashok); S.H. Ralston; M.R. Reed (Mike); J.A. Riancho (José); F. Rivadeneira Ramirez (Fernando); C. Rodriguez-Fontenla (Cristina); L. Southam (Lorraine); U. Thorsteinsdottir (Unnur); A. Tsezou (Aspasia); G.A. Wallis (Gillian); J.M. Wilkinson (Mark); A. Gonzalez (Antonio); N.E. Lane; L.S. Lohmander (Stefan); J. Loughlin (John); A. Metspalu (Andres); A.G. Uitterlinden (André); I. Jonsdottir (Ingileif); J-A. Zwart (John-Anker); P.E. Slagboom (Eline); E. Zeggini (Eleftheria); I. Meulenbelt (Ingrid); J.P.A. Ioannidis (John); T.D. Spector (Timothy); J.B.J. van Meurs (Joyce); A.M. Valdes (Ana Maria)

    2013-01-01

    textabstractObjectives: Osteoarthritis (OA) is the most common form of arthritis with a clear genetic component. To identify novel loci associated with hip OA we performed a meta-analysis of genome-wide association studies (GWAS) on European subjects. Methods: We performed a two-stage meta-analysis

  6. Twelve type 2 diabetes susceptibility loci identified through large-scale association analysis

    NARCIS (Netherlands)

    B.F. Voight (Benjamin); L.J. Scott (Laura); V. Steinthorsdottir (Valgerdur); A.D. Morris (Andrew); C. Dina (Christian); R.P. Welch (Ryan); E. Zeggini (Eleftheria); C. Huth (Cornelia); Y.S. Aulchenko (Yurii); G. Thorleifsson (Gudmar); L.J. McCulloch (Laura); T. Ferreira (Teresa); H. Grallert (Harald); N. Amin (Najaf); G. Wu (Guanming); C.J. Willer (Cristen); S. Raychaudhuri (Soumya); S.A. McCarroll (Steven); C. Langenberg (Claudia); O.M. Hofmann (Oliver); J. Dupuis (Josée); L. Qi (Lu); A.V. Segrè (Ayellet); M. van Hoek (Mandy); P. Navarro (Pau); K.G. Ardlie (Kristin); B. Balkau (Beverley); R. Benediktsson (Rafn); A.J. Bennett (Amanda); R. Blagieva (Roza); E.A. Boerwinkle (Eric); L.L. Bonnycastle (Lori); K.B. Boström (Kristina Bengtsson); B. Bravenboer (Bert); S. Bumpstead (Suzannah); N.P. Burtt (Noël); G. Charpentier (Guillaume); P.S. Chines (Peter); M. Cornelis (Marilyn); D.J. Couper (David); G. Crawford (Gabe); A.S.F. Doney (Alex); K.S. Elliott (Katherine); M.R. Erdos (Michael); C.S. Fox (Caroline); C.S. Franklin (Christopher); M. Ganser (Martha); C. Gieger (Christian); N. Grarup (Niels); T. Green (Todd); S. Griffin (Simon); C.J. Groves (Christopher); C. Guiducci (Candace); S. Hadjadj (Samy); N. Hassanali (Neelam); C. Herder (Christian); B. Isomaa (Bo); A.U. Jackson (Anne); P.R.V. Johnson (Paul); T. Jørgensen (Torben); W.H.L. Kao (Wen); N. Klopp (Norman); A. Kong (Augustine); P. Kraft (Peter); J. Kuusisto (Johanna); T. Lauritzen (Torsten); M. Li (Man); A. Lieverse (Aloysius); C.M. Lindgren (Cecilia); V. Lyssenko (Valeriya); M. Marre (Michel); T. Meitinger (Thomas); K. Midthjell (Kristian); M.A. Morken (Mario); N. Narisu (Narisu); P. Nilsson (Peter); K.R. Owen (Katharine); F. Payne (Felicity); J.R.B. Perry (John); A.K. Petersen; C. Platou (Carl); C. Proença (Christine); I. Prokopenko (Inga); W. Rathmann (Wolfgang); N.W. Rayner (Nigel William); N.R. Robertson (Neil); G. Rocheleau (Ghislain); M. Roden (Michael); M.J. Sampson (Michael); R. Saxena (Richa); B.M. Shields (Beverley); P. Shrader (Peter); G. Sigurdsson (Gunnar); T. Sparsø (Thomas); K. Strassburger (Klaus); H.M. Stringham (Heather); Q. Sun (Qi); A.J. Swift (Amy); B. Thorand (Barbara); J. Tichet (Jean); T. Tuomi (Tiinamaija); R.M. van Dam (Rob); T.W. van Haeften (Timon); T.W. van Herpt (Thijs); J.V. van Vliet-Ostaptchouk (Jana); G.B. Walters (Bragi); M.N. Weedon (Michael); C. Wijmenga (Cisca); J.C.M. Witteman (Jacqueline); R.N. Bergman (Richard); S. Cauchi (Stephane); F.S. Collins (Francis); A.L. Gloyn (Anna); U. Gyllensten (Ulf); T. Hansen (Torben); W.A. Hide (Winston); G.A. Hitman (Graham); A. Hofman (Albert); D. Hunter (David); K. Hveem (Kristian); M. Laakso (Markku); K.L. Mohlke (Karen); C.N.A. Palmer (Colin); P.P. Pramstaller (Peter Paul); I. Rudan (Igor); E.J.G. Sijbrands (Eric); L.D. Stein (Lincoln); J. Tuomilehto (Jaakko); A.G. Uitterlinden (André); M. Walker (Mark); N.J. Wareham (Nick); G.R. Abecasis (Gonçalo); B.O. Boehm (Bernhard); H. Campbell (Harry); M.J. Daly (Mark); A.T. Hattersley (Andrew); F.B. Hu (Frank); J.B. Meigs (James); J.S. Pankow (James); O. Pedersen (Oluf); H.E. Wichmann (Erich); I. Barroso (Inês); J.C. Florez (Jose); T.M. Frayling (Timothy); L. Groop (Leif); R. Sladek (Rob); U. Thorsteinsdottir (Unnur); J.F. Wilson (James); T. Illig (Thomas); P. Froguel (Philippe); P. Tikka-Kleemola (Päivi); J-A. Zwart (John-Anker); D. Altshuler (David); M. Boehnke (Michael); M.I. McCarthy (Mark); R.M. Watanabe (Richard)

    2010-01-01

    textabstractBy combining genome-wide association data from 8,130 individuals with type 2 diabetes (T2D) and 38,987 controls of European descent and following up previously unidentified meta-analysis signals in a further 34,412 cases and 59,925 controls, we identified 12 new T2D association signals w

  7. Twelve type 2 diabetes susceptibility loci identified through large-scale association analysis

    NARCIS (Netherlands)

    Voight, Benjamin F.; Scott, Laura J.; Steinthorsdottir, Valgerdur; Morris, Andrew P.; Dina, Christian; Welch, Ryan P.; Zeggini, Eleftheria; Huth, Cornelia; Aulchenko, Yurii S.; Thorleifsson, Gudmar; McCulloch, Laura J.; Ferreira, Teresa; Grallert, Harald; Amin, Najaf; Wu, Guanming; Willer, Cristen J.; Raychaudhuri, Soumya; McCarroll, Steve A.; Langenberg, Claudia; Hofmann, Oliver M.; Dupuis, Josee; Qi, Lu; Segre, Ayellet V.; van Hoek, Mandy; Navarro, Pau; Ardlie, Kristin; Balkau, Beverley; Benediktsson, Rafn; Bennett, Amanda J.; Blagieva, Roza; Boerwinkle, Eric; Bonnycastle, Lori L.; Bostrom, Kristina Bengtsson; Bravenboer, Bert; Bumpstead, Suzannah; Burtt, Noisel P.; Charpentier, Guillaume; Chines, Peter S.; Cornelis, Marilyn; Couper, David J.; Crawford, Gabe; Doney, Alex S. F.; Elliott, Katherine S.; Elliott, Amanda L.; Erdos, Michael R.; Fox, Caroline S.; Franklin, Christopher S.; Ganser, Martha; Gieger, Christian; Grarup, Niels; Green, Todd; Griffin, Simon; Groves, Christopher J.; Guiducci, Candace; Hadjadj, Samy; Hassanali, Neelam; Herder, Christian; Isomaa, Bo; Jackson, Anne U.; Johnson, Paul R. V.; Jorgensen, Torben; Kao, Wen H. L.; Klopp, Norman; Kong, Augustine; Kraft, Peter; Kuusisto, Johanna; Lauritzen, Torsten; Li, Man; Lieverse, Aloysius; Lindgren, Cecilia M.; Lyssenko, Valeriya; Marre, Michel; Meitinger, Thomas; Midthjell, Kristian; Morken, Mario A.; Narisu, Narisu; Nilsson, Peter; Owen, Katharine R.; Payne, Felicity; Perry, John R. B.; Petersen, Ann-Kristin; Platou, Carl; Proenca, Christine; Prokopenko, Inga; Rathmann, Wolfgang; Rayner, N. William; Robertson, Neil R.; Rocheleau, Ghislain; Roden, Michael; Sampson, Michael J.; Saxena, Richa; Shields, Beverley M.; Shrader, Peter; Sigurdsson, Gunnar; Sparso, Thomas; Strassburger, Klaus; Stringham, Heather M.; Sun, Qi; Swift, Amy J.; Thorand, Barbara; Tichet, Jean; Tuomi, Tiinamaija; van Dam, Rob M.; van Haeften, Timon W.; van Herpt, Thijs; van Vliet-Ostaptchouk, Jana V.; Walters, G. Bragi; Weedon, Michael N.; Wijmenga, Cisca; Witteman, Jacqueline; Bergman, Richard N.; Cauchi, Stephane; Collins, Francis S.; Gloyn, Anna L.; Gyllensten, Ulf; Hansen, Torben; Hide, Winston A.; Hitman, Graham A.; Hofman, Albert; Hunter, David J.; Hveem, Kristian; Laakso, Markku; Mohlke, Karen L.; Morris, Andrew D.; Palmer, Colin N. A.; Pramstaller, Peter P.; Rudan, Igor; Sijbrands, Eric; Stein, Lincoln D.; Tuomilehto, Jaakko; Uitterlinden, Andre; Walker, Mark; Wareham, Nicholas J.; Watanabe, Richard M.; Abecasis, Goncalo R.; Boehm, Bernhard O.; Campbell, Harry; Daly, Mark J.; Hattersley, Andrew T.; Hu, Frank B.; Meigs, James B.; Pankow, James S.; Pedersen, Oluf; Wichmann, H-Erich; Barroso, Ines; Florez, Jose C.; Frayling, Timothy M.; Groop, Leif; Sladek, Rob; Thorsteinsdottir, Unnur; Wilson, James F.; Illig, Thomas; Froguel, Philippe; van Duijn, Cornelia M.; Stefansson, Kari; Altshuler, David; Boehnke, Michael; McCarthy, Mark I.

    2010-01-01

    By combining genome-wide association data from 8,130 individuals with type 2 diabetes (T2D) and 38,987 controls of European descent and following up previously unidentified meta-analysis signals in a further 34,412 cases and 59,925 controls, we identified 12 new T2D association signals with combined

  8. Twelve type 2 diabetes susceptibility loci identified through large-scale association analysis

    DEFF Research Database (Denmark)

    Voight, Benjamin F; Scott, Laura J; Steinthorsdottir, Valgerdur;

    2010-01-01

    By combining genome-wide association data from 8,130 individuals with type 2 diabetes (T2D) and 38,987 controls of European descent and following up previously unidentified meta-analysis signals in a further 34,412 cases and 59,925 controls, we identified 12 new T2D association signals...

  9. Genome-wide association analysis identifies six new loci associated with forced vital capacity.

    Science.gov (United States)

    Loth, Daan W; Soler Artigas, María; Gharib, Sina A; Wain, Louise V; Franceschini, Nora; Koch, Beate; Pottinger, Tess D; Smith, Albert Vernon; Duan, Qing; Oldmeadow, Chris; Lee, Mi Kyeong; Strachan, David P; James, Alan L; Huffman, Jennifer E; Vitart, Veronique; Ramasamy, Adaikalavan; Wareham, Nicholas J; Kaprio, Jaakko; Wang, Xin-Qun; Trochet, Holly; Kähönen, Mika; Flexeder, Claudia; Albrecht, Eva; Lopez, Lorna M; de Jong, Kim; Thyagarajan, Bharat; Alves, Alexessander Couto; Enroth, Stefan; Omenaas, Ernst; Joshi, Peter K; Fall, Tove; Viñuela, Ana; Launer, Lenore J; Loehr, Laura R; Fornage, Myriam; Li, Guo; Wilk, Jemma B; Tang, Wenbo; Manichaikul, Ani; Lahousse, Lies; Harris, Tamara B; North, Kari E; Rudnicka, Alicja R; Hui, Jennie; Gu, Xiangjun; Lumley, Thomas; Wright, Alan F; Hastie, Nicholas D; Campbell, Susan; Kumar, Rajesh; Pin, Isabelle; Scott, Robert A; Pietiläinen, Kirsi H; Surakka, Ida; Liu, Yongmei; Holliday, Elizabeth G; Schulz, Holger; Heinrich, Joachim; Davies, Gail; Vonk, Judith M; Wojczynski, Mary; Pouta, Anneli; Johansson, Asa; Wild, Sarah H; Ingelsson, Erik; Rivadeneira, Fernando; Völzke, Henry; Hysi, Pirro G; Eiriksdottir, Gudny; Morrison, Alanna C; Rotter, Jerome I; Gao, Wei; Postma, Dirkje S; White, Wendy B; Rich, Stephen S; Hofman, Albert; Aspelund, Thor; Couper, David; Smith, Lewis J; Psaty, Bruce M; Lohman, Kurt; Burchard, Esteban G; Uitterlinden, André G; Garcia, Melissa; Joubert, Bonnie R; McArdle, Wendy L; Musk, A Bill; Hansel, Nadia; Heckbert, Susan R; Zgaga, Lina; van Meurs, Joyce B J; Navarro, Pau; Rudan, Igor; Oh, Yeon-Mok; Redline, Susan; Jarvis, Deborah L; Zhao, Jing Hua; Rantanen, Taina; O'Connor, George T; Ripatti, Samuli; Scott, Rodney J; Karrasch, Stefan; Grallert, Harald; Gaddis, Nathan C; Starr, John M; Wijmenga, Cisca; Minster, Ryan L; Lederer, David J; Pekkanen, Juha; Gyllensten, Ulf; Campbell, Harry; Morris, Andrew P; Gläser, Sven; Hammond, Christopher J; Burkart, Kristin M; Beilby, John; Kritchevsky, Stephen B; Gudnason, Vilmundur; Hancock, Dana B; Williams, O Dale; Polasek, Ozren; Zemunik, Tatijana; Kolcic, Ivana; Petrini, Marcy F; Wjst, Matthias; Kim, Woo Jin; Porteous, David J; Scotland, Generation; Smith, Blair H; Viljanen, Anne; Heliövaara, Markku; Attia, John R; Sayers, Ian; Hampel, Regina; Gieger, Christian; Deary, Ian J; Boezen, H Marike; Newman, Anne; Jarvelin, Marjo-Riitta; Wilson, James F; Lind, Lars; Stricker, Bruno H; Teumer, Alexander; Spector, Timothy D; Melén, Erik; Peters, Marjolein J; Lange, Leslie A; Barr, R Graham; Bracke, Ken R; Verhamme, Fien M; Sung, Joohon; Hiemstra, Pieter S; Cassano, Patricia A; Sood, Akshay; Hayward, Caroline; Dupuis, Josée; Hall, Ian P; Brusselle, Guy G; Tobin, Martin D; London, Stephanie J

    2014-07-01

    Forced vital capacity (FVC), a spirometric measure of pulmonary function, reflects lung volume and is used to diagnose and monitor lung diseases. We performed genome-wide association study meta-analysis of FVC in 52,253 individuals from 26 studies and followed up the top associations in 32,917 additional individuals of European ancestry. We found six new regions associated at genome-wide significance (P < 5 × 10(-8)) with FVC in or near EFEMP1, BMP6, MIR129-2-HSD17B12, PRDM11, WWOX and KCNJ2. Two loci previously associated with spirometric measures (GSTCD and PTCH1) were related to FVC. Newly implicated regions were followed up in samples from African-American, Korean, Chinese and Hispanic individuals. We detected transcripts for all six newly implicated genes in human lung tissue. The new loci may inform mechanisms involved in lung development and the pathogenesis of restrictive lung disease.

  10. Genome-wide association study meta-analysis identifies seven new rheumatoid arthritis risk loci

    OpenAIRE

    Stahl, Eli A; Raychaudhuri, Soumya; Remmers, Elaine F.; Xie, Gang; Eyre, Stephen; Thomson, Brian P.; Li, Yonghong; Kurreeman, Fina A. S.; Zhernakova, Alexandra; Hinks, Anne; Guiducci, Candace; Chen, Robert; Alfredsson, Lars; Amos, Christopher I.; Ardlie, Kristin G.

    2010-01-01

    To identify novel genetic risk factors for rheumatoid arthritis (RA), we conducted a genome-wide association study (GWAS) meta-analysis of 5,539 autoantibody positive RA cases and 20,169 controls of European descent, followed by replication in an independent set of 6,768 RA cases and 8,806 controls. Of 34 SNPs selected for replication, 7 novel RA risk alleles were identified at genome-wide significance (P

  11. Genome-wide association scan meta-analysis identifies three loci influencing adiposity and fat distribution

    NARCIS (Netherlands)

    C.M. Lindgren (Cecilia); I.M. Heid (Iris); J.C. Randall (Joshua); C. Lamina (Claudia); V. Steinthorsdottir (Valgerdur); L. Qi (Lu); E.K. Speliotes (Elizabeth); G. Thorleifsson (Gudmar); C.J. Willer (Cristen); B.M. Herrera (Blanca); A.U. Jackson (Anne); N. Lim (Noha); P. Scheet (Paul); N. Soranzo (Nicole); N. Amin (Najaf); Y.S. Aulchenko (Yurii); J.C. Chambers (John); A. Drong (Alexander); J. Luan; H.N. Lyon (Helen); F. Rivadeneira Ramirez (Fernando); S. Sanna (Serena); N. Timpson (Nicholas); M.C. Zillikens (Carola); H.Z. Jing; P. Almgren (Peter); S. Bandinelli (Stefania); A.J. Bennett (Amanda); R.N. Bergman (Richard); L.L. Bonnycastle (Lori); S. Bumpstead (Suzannah); S.J. Chanock (Stephen); L. Cherkas (Lynn); P.S. Chines (Peter); L. Coin (Lachlan); C. Cooper (Charles); G. Crawford (Gabe); A. Doering (Angela); A. Dominiczak (Anna); A.S.F. Doney (Alex); S. Ebrahim (Shanil); P. Elliott (Paul); M.R. Erdos (Michael); K. Estrada Gil (Karol); L. Ferrucci (Luigi); G. Fischer (Guido); N.G. Forouhi (Nita); C. Gieger (Christian); H. Grallert (Harald); C.J. Groves (Christopher); S.M. Grundy (Scott); C. Guiducci (Candace); D. Hadley (David); A. Hamsten (Anders); A.S. Havulinna (Aki); A. Hofman (Albert); R. Holle (Rolf); J.W. Holloway (John); T. Illig (Thomas); B. Isomaa (Bo); L.C. Jacobs (Leonie); K. Jameson (Karen); P. Jousilahti (Pekka); F. Karpe (Fredrik); J. Kuusisto (Johanna); J. Laitinen (Jaana); G.M. Lathrop (Mark); D.A. Lawlor (Debbie); M. Mangino (Massimo); W.L. McArdle (Wendy); T. Meitinger (Thomas); M.A. Morken (Mario); A.P. Morris (Andrew); P. Munroe (Patricia); N. Narisu (Narisu); A. Nordström (Anna); B.A. Oostra (Ben); C.N.A. Palmer (Colin); F. Payne (Felicity); J. Peden (John); I. Prokopenko (Inga); F. Renström (Frida); A. Ruokonen (Aimo); V. Salomaa (Veikko); M.S. Sandhu (Manjinder); L.J. Scott (Laura); A. Scuteri (Angelo); K. Silander (Kaisa); K. Song (Kijoung); X. Yuan (Xin); H.M. Stringham (Heather); A.J. Swift (Amy); T. Tuomi (Tiinamaija); M. Uda (Manuela); P. Vollenweider (Peter); G. Waeber (Gérard); C. Wallace (Chris); G.B. Walters (Bragi); M.N. Weedon (Michael); J.C.M. Witteman (Jacqueline); C. Zhang (Cuilin); M. Caulfield (Mark); F.S. Collins (Francis); G.D. Smith; I.N.M. Day (Ian); P.W. Franks (Paul); A.T. Hattersley (Andrew); F.B. Hu (Frank); M.-R. Jarvelin (Marjo-Riitta); A. Kong (Augustine); J.S. Kooner (Jaspal); M. Laakso (Markku); E. Lakatta (Edward); V. Mooser (Vincent); L. Peltonen (Leena Johanna); N.J. Samani (Nilesh); T.D. Spector (Timothy); D.P. Strachan (David); T. Tanaka (Toshiko); J. Tuomilehto (Jaakko); A.G. Uitterlinden (André); P. Tikka-Kleemola (Päivi); N.J. Wareham (Nick); H. Watkins (Hugh); D. Waterworth (Dawn); M. Boehnke (Michael); P. Deloukas (Panagiotis); L. Groop (Leif); D.J. Hunter (David); U. Thorsteinsdottir (Unnur); D. Schlessinger (David); H.E. Wichmann (Erich); T.M. Frayling (Timothy); G.R. Abecasis (Gonçalo); J.N. Hirschhorn (Joel); R.J.F. Loos (Ruth); J-A. Zwart (John-Anker); K.L. Mohlke (Karen); I. Barroso (Inês); M.I. McCarthy (Mark)

    2009-01-01

    textabstractTo identify genetic loci influencing central obesity and fat distribution, we performed a meta-analysis of 16 genome-wide association studies (GWAS, N = 38,580) informative for adult waist circumference (WC) and waist-hip ratio (WHR). We selected 26 SNPs for follow-up, for which the evid

  12. Genome-wide association study meta-analysis identifies seven new rheumatoid arthritis risk loci

    NARCIS (Netherlands)

    Stahl, Eli A.; Raychaudhuri, Soumya; Remmers, Elaine F.; Xie, Gang; Eyre, Stephen; Thomson, Brian P.; Li, Yonghong; Kurreeman, Fina A. S.; Zhernakova, Alexandra; Hinks, Anne; Guiducci, Candace; Chen, Robert; Alfredsson, Lars; Amos, Christopher I.; Ardlie, Kristin G.; Barton, Anne; Bowes, John; Brouwer, Elisabeth; Burtt, Noel P.; Catanese, Joseph J.; Coblyn, Jonathan; Coenen, Marieke J. H.; Costenbader, Karen H.; Criswell, Lindsey A.; Crusius, J. Bart A.; Cui, Jing; de Bakker, Paul I. W.; De Jager, Philip L.; Ding, Bo; Emery, Paul; Flynn, Edward; Harrison, Pille; Hocking, Lynne J.; Huizinga, Tom W. J.; Kastner, Daniel L.; Ke, Xiayi; Lee, Annette T.; Liu, Xiangdong; Martin, Paul; Morgan, Ann W.; Padyukov, Leonid; Posthumus, Marcel D.; Radstake, Timothy R. D. J.; Reid, David M.; Seielstad, Mark; Seldin, Michael F.; Shadick, Nancy A.; Steer, Sophia; Tak, Paul P.; Thomson, Wendy; van der Helm-van Mil, Annette H. M.; van der Horst-Bruinsma, Irene E.; van der Schoot, C. Ellen; van Riel, Piet L. C. M.; Weinblatt, Michael E.; Wilson, Anthony G.; Wolbink, Gert Jan; Wordsworth, B. Paul; Wijmenga, Cisca; Karlson, Elizabeth W.; Toes, Rene E. M.; de Vries, Niek; Begovich, Ann B.; Worthington, Jane; Siminovitch, Katherine A.; Gregersen, Peter K.; Klareskog, Lars; Plenge, Robert M.

    2010-01-01

    To identify new genetic risk factors for rheumatoid arthritis, we conducted a genome-wide association study meta-analysis of 5,539 autoantibody-positive individuals with rheumatoid arthritis (cases) and 20,169 controls of European descent, followed by replication in an independent set of 6,768 rheum

  13. Genome-wide interaction-based association analysis identified multiple new susceptibility Loci for common diseases.

    Directory of Open Access Journals (Sweden)

    Yang Liu

    2011-03-01

    Full Text Available Genome-wide interaction-based association (GWIBA analysis has the potential to identify novel susceptibility loci. These interaction effects could be missed with the prevailing approaches in genome-wide association studies (GWAS. However, no convincing loci have been discovered exclusively from GWIBA methods, and the intensive computation involved is a major barrier for application. Here, we developed a fast, multi-thread/parallel program named "pair-wise interaction-based association mapping" (PIAM for exhaustive two-locus searches. With this program, we performed a complete GWIBA analysis on seven diseases with stringent control for false positives, and we validated the results for three of these diseases. We identified one pair-wise interaction between a previously identified locus, C1orf106, and one new locus, TEC, that was specific for Crohn's disease, with a Bonferroni corrected P < 0.05 (P = 0.039. This interaction was replicated with a pair of proxy linked loci (P = 0.013 on an independent dataset. Five other interactions had corrected P < 0.5. We identified the allelic effect of a locus close to SLC7A13 for coronary artery disease. This was replicated with a linked locus on an independent dataset (P = 1.09 × 10⁻⁷. Through a local validation analysis that evaluated association signals, rather than locus-based associations, we found that several other regions showed association/interaction signals with nominal P < 0.05. In conclusion, this study demonstrated that the GWIBA approach was successful for identifying novel loci, and the results provide new insights into the genetic architecture of common diseases. In addition, our PIAM program was capable of handling very large GWAS datasets that are likely to be produced in the future.

  14. Genome-Wide Association Analysis Identifies Variants Associated with Nonalcoholic Fatty Liver Disease That Have Distinct Effects on Metabolic Traits

    NARCIS (Netherlands)

    Speliotes, Elizabeth K.; Yerges-Armstrong, Laura M.; Wu, Jun; Hernaez, Ruben; Kim, Lauren J.; Palmer, Cameron D.; Gudnason, Vilmundur; Eiriksdottir, Gudny; Garcia, Melissa E.; Launer, Lenore J.; Nalls, Michael A.; Clark, Jeanne M.; Mitchell, Braxton D.; Shuldiner, Alan R.; Butler, Johannah L.; Tomas, Marta; Hoffmann, Udo; Hwang, Shih-Jen; Massaro, Joseph M.; O'Donnell, Christopher J.; Sahani, Dushyant V.; Salomaa, Veikko; Schadt, Eric E.; Schwartz, Stephen M.; Siscovick, David S.; Voight, Benjamin F.; Carr, J. Jeffrey; Feitosa, Mary F.; Harris, Tamara B.; Fox, Caroline S.; Smith, Albert V.; Kao, W. H. Linda; Hirschhorn, Joel N.; Borecki, Ingrid B.

    2011-01-01

    Nonalcoholic fatty liver disease (NAFLD) clusters in families, but the only known common genetic variants influencing risk are near PNPLA3. We sought to identify additional genetic variants influencing NAFLD using genome-wide association (GWA) analysis of computed tomography (CT) measured hepatic st

  15. Genome-wide association analysis identifies variants associated with nonalcoholic fatty liver disease that have distinct effects on metabolic traits

    DEFF Research Database (Denmark)

    Speliotes, Elizabeth K; Yerges-Armstrong, Laura M; Wu, Jun;

    2011-01-01

    Nonalcoholic fatty liver disease (NAFLD) clusters in families, but the only known common genetic variants influencing risk are near PNPLA3. We sought to identify additional genetic variants influencing NAFLD using genome-wide association (GWA) analysis of computed tomography (CT) measured hepatic...

  16. Cluster analysis of spontaneous preterm birth phenotypes identifies potential associations among preterm birth mechanisms

    Science.gov (United States)

    Esplin, M Sean; Manuck, Tracy A.; Varner, Michael W.; Christensen, Bryce; Biggio, Joseph; Bukowski, Radek; Parry, Samuel; Zhang, Heping; Huang, Hao; Andrews, William; Saade, George; Sadovsky, Yoel; Reddy, Uma M.; Ilekis, John

    2015-01-01

    Objective We sought to employ an innovative tool based on common biological pathways to identify specific phenotypes among women with spontaneous preterm birth (SPTB), in order to enhance investigators' ability to identify to highlight common mechanisms and underlying genetic factors responsible for SPTB. Study Design A secondary analysis of a prospective case-control multicenter study of SPTB. All cases delivered a preterm singleton at SPTB ≤34.0 weeks gestation. Each woman was assessed for the presence of underlying SPTB etiologies. A hierarchical cluster analysis was used to identify groups of women with homogeneous phenotypic profiles. One of the phenotypic clusters was selected for candidate gene association analysis using VEGAS software. Results 1028 women with SPTB were assigned phenotypes. Hierarchical clustering of the phenotypes revealed five major clusters. Cluster 1 (N=445) was characterized by maternal stress, cluster 2 (N=294) by premature membrane rupture, cluster 3 (N=120) by familial factors, and cluster 4 (N=63) by maternal comorbidities. Cluster 5 (N=106) was multifactorial, characterized by infection (INF), decidual hemorrhage (DH) and placental dysfunction (PD). These three phenotypes were highly correlated by Chi-square analysis [PD and DH (p<2.2e-6); PD and INF (p=6.2e-10); INF and DH (p=0.0036)]. Gene-based testing identified the INS (insulin) gene as significantly associated with cluster 3 of SPTB. Conclusion We identified 5 major clusters of SPTB based on a phenotype tool and hierarchal clustering. There was significant correlation between several of the phenotypes. The INS gene was associated with familial factors underlying SPTB. PMID:26070700

  17. Genome-wide association scan meta-analysis identifies three Loci influencing adiposity and fat distribution.

    Directory of Open Access Journals (Sweden)

    Cecilia M Lindgren

    2009-06-01

    Full Text Available To identify genetic loci influencing central obesity and fat distribution, we performed a meta-analysis of 16 genome-wide association studies (GWAS, N = 38,580 informative for adult waist circumference (WC and waist-hip ratio (WHR. We selected 26 SNPs for follow-up, for which the evidence of association with measures of central adiposity (WC and/or WHR was strong and disproportionate to that for overall adiposity or height. Follow-up studies in a maximum of 70,689 individuals identified two loci strongly associated with measures of central adiposity; these map near TFAP2B (WC, P = 1.9x10(-11 and MSRA (WC, P = 8.9x10(-9. A third locus, near LYPLAL1, was associated with WHR in women only (P = 2.6x10(-8. The variants near TFAP2B appear to influence central adiposity through an effect on overall obesity/fat-mass, whereas LYPLAL1 displays a strong female-only association with fat distribution. By focusing on anthropometric measures of central obesity and fat distribution, we have identified three loci implicated in the regulation of human adiposity.

  18. Genome-wide association study meta-analysis identifies seven new rheumatoid arthritis risk loci

    Science.gov (United States)

    Stahl, Eli A.; Raychaudhuri, Soumya; Remmers, Elaine F.; Xie, Gang; Eyre, Stephen; Thomson, Brian P.; Li, Yonghong; Kurreeman, Fina A. S.; Zhernakova, Alexandra; Hinks, Anne; Guiducci, Candace; Chen, Robert; Alfredsson, Lars; Amos, Christopher I.; Ardlie, Kristin G.; Barton, Anne; Bowes, John; Brouwer, Elisabeth; Burtt, Noel P.; Catanese, Joseph J.; Coblyn, Jonathan; Coenen, Marieke JH; Costenbader, Karen H.; Criswell, Lindsey A.; Crusius, J. Bart A.; Cui, Jing; de Bakker, Paul I.W.; De Jager, Phillip L.; Ding, Bo; Emery, Paul; Flynn, Edward; Harrison, Pille; Hocking, Lynne J.; Huizinga, Tom W. J.; Kastner, Daniel L.; Ke, Xiayi; Lee, Annette T.; Liu, Xiangdong; Martin, Paul; Morgan, Ann W.; Padyukov, Leonid; Posthumus, Marcel D.; Radstake, Timothy RDJ; Reid, David M.; Seielstad, Mark; Seldin, Michael F.; Shadick, Nancy A.; Steer, Sophia; Tak, Paul P.; Thomson, Wendy; van der Helm-van Mil, Annette H. M.; van der Horst-Bruinsma, Irene E.; van der Schoot, C. Ellen; van Riel, Piet LCM; Weinblatt, Michael E.; Wilson, Anthony G.; Wolbink, Gert Jan; Wordsworth, Paul; Wijmenga, Cisca; Karlson, Elizabeth W.; Toes, Rene E. M.; de Vries, Niek; Begovich, Ann B.; Worthington, Jane; Siminovitch, Katherine A.; Gregersen, Peter K.; Klareskog, Lars; Plenge, Robert M.

    2014-01-01

    To identify novel genetic risk factors for rheumatoid arthritis (RA), we conducted a genome-wide association study (GWAS) meta-analysis of 5,539 autoantibody positive RA cases and 20,169 controls of European descent, followed by replication in an independent set of 6,768 RA cases and 8,806 controls. Of 34 SNPs selected for replication, 7 novel RA risk alleles were identified at genome-wide significance (P<5×10−8) in analysis of all 41,282 samples. The associated SNPs are near genes of known immune function, including IL6ST, SPRED2, RBPJ, CCR6, IRF5, and PXK. We also refined the risk alleles at two established RA risk loci (IL2RA and CCL21) and confirmed the association at AFF3. These new associations bring the total number of confirmed RA risk loci to 31 among individuals of European ancestry. An additional 11 SNPs replicated at P<0.05, many of which are validated autoimmune risk alleles, suggesting that most represent bona fide RA risk alleles. PMID:20453842

  19. Genome-wide association study to identify common variants associated with brachial circumference: a meta-analysis of 14 cohorts.

    Directory of Open Access Journals (Sweden)

    Vesna Boraska

    Full Text Available Brachial circumference (BC, also known as upper arm or mid arm circumference, can be used as an indicator of muscle mass and fat tissue, which are distributed differently in men and women. Analysis of anthropometric measures of peripheral fat distribution such as BC could help in understanding the complex pathophysiology behind overweight and obesity. The purpose of this study is to identify genetic variants associated with BC through a large-scale genome-wide association scan (GWAS meta-analysis. We used fixed-effects meta-analysis to synthesise summary results across 14 GWAS discovery and 4 replication cohorts comprising overall 22,376 individuals (12,031 women and 10,345 men of European ancestry. Individual analyses were carried out for men, women, and combined across sexes using linear regression and an additive genetic model: adjusted for age and adjusted for age and BMI. We prioritised signals for follow-up in two-stages. We did not detect any signals reaching genome-wide significance. The FTO rs9939609 SNP showed nominal evidence for association (p<0.05 in the age-adjusted strata for men and across both sexes. In this first GWAS meta-analysis for BC to date, we have not identified any genome-wide significant signals and do not observe robust association of previously established obesity loci with BC. Large-scale collaborations will be necessary to achieve higher power to detect loci underlying BC.

  20. Genome-wide association analysis identifies variants associated with nonalcoholic fatty liver disease that have distinct effects on metabolic traits.

    Directory of Open Access Journals (Sweden)

    Elizabeth K Speliotes

    2011-03-01

    Full Text Available Nonalcoholic fatty liver disease (NAFLD clusters in families, but the only known common genetic variants influencing risk are near PNPLA3. We sought to identify additional genetic variants influencing NAFLD using genome-wide association (GWA analysis of computed tomography (CT measured hepatic steatosis, a non-invasive measure of NAFLD, in large population based samples. Using variance components methods, we show that CT hepatic steatosis is heritable (∼26%-27% in family-based Amish, Family Heart, and Framingham Heart Studies (n = 880 to 3,070. By carrying out a fixed-effects meta-analysis of genome-wide association (GWA results between CT hepatic steatosis and ∼2.4 million imputed or genotyped SNPs in 7,176 individuals from the Old Order Amish, Age, Gene/Environment Susceptibility-Reykjavik study (AGES, Family Heart, and Framingham Heart Studies, we identify variants associated at genome-wide significant levels (p<5×10(-8 in or near PNPLA3, NCAN, and PPP1R3B. We genotype these and 42 other top CT hepatic steatosis-associated SNPs in 592 subjects with biopsy-proven NAFLD from the NASH Clinical Research Network (NASH CRN. In comparisons with 1,405 healthy controls from the Myocardial Genetics Consortium (MIGen, we observe significant associations with histologic NAFLD at variants in or near NCAN, GCKR, LYPLAL1, and PNPLA3, but not PPP1R3B. Variants at these five loci exhibit distinct patterns of association with serum lipids, as well as glycemic and anthropometric traits. We identify common genetic variants influencing CT-assessed steatosis and risk of NAFLD. Hepatic steatosis associated variants are not uniformly associated with NASH/fibrosis or result in abnormalities in serum lipids or glycemic and anthropometric traits, suggesting genetic heterogeneity in the pathways influencing these traits.

  1. Genome-wide analysis of over 106 000 individuals identifies 9 neuroticism-associated loci.

    Science.gov (United States)

    Smith, D J; Escott-Price, V; Davies, G; Bailey, M E S; Colodro-Conde, L; Ward, J; Vedernikov, A; Marioni, R; Cullen, B; Lyall, D; Hagenaars, S P; Liewald, D C M; Luciano, M; Gale, C R; Ritchie, S J; Hayward, C; Nicholl, B; Bulik-Sullivan, B; Adams, M; Couvy-Duchesne, B; Graham, N; Mackay, D; Evans, J; Smith, B H; Porteous, D J; Medland, S E; Martin, N G; Holmans, P; McIntosh, A M; Pell, J P; Deary, I J; O'Donovan, M C

    2016-06-01

    Neuroticism is a personality trait of fundamental importance for psychological well-being and public health. It is strongly associated with major depressive disorder (MDD) and several other psychiatric conditions. Although neuroticism is heritable, attempts to identify the alleles involved in previous studies have been limited by relatively small sample sizes. Here we report a combined meta-analysis of genome-wide association study (GWAS) of neuroticism that includes 91 370 participants from the UK Biobank cohort, 6659 participants from the Generation Scotland: Scottish Family Health Study (GS:SFHS) and 8687 participants from a QIMR (Queensland Institute of Medical Research) Berghofer Medical Research Institute (QIMR) cohort. All participants were assessed using the same neuroticism instrument, the Eysenck Personality Questionnaire-Revised (EPQ-R-S) Short Form's Neuroticism scale. We found a single-nucleotide polymorphism-based heritability estimate for neuroticism of ∼15% (s.e.=0.7%). Meta-analysis identified nine novel loci associated with neuroticism. The strongest evidence for association was at a locus on chromosome 8 (P=1.5 × 10(-15)) spanning 4 Mb and containing at least 36 genes. Other associated loci included interesting candidate genes on chromosome 1 (GRIK3 (glutamate receptor ionotropic kainate 3)), chromosome 4 (KLHL2 (Kelch-like protein 2)), chromosome 17 (CRHR1 (corticotropin-releasing hormone receptor 1) and MAPT (microtubule-associated protein Tau)) and on chromosome 18 (CELF4 (CUGBP elav-like family member 4)). We found no evidence for genetic differences in the common allelic architecture of neuroticism by sex. By comparing our findings with those of the Psychiatric Genetics Consortia, we identified a strong genetic correlation between neuroticism and MDD and a less strong but significant genetic correlation with schizophrenia, although not with bipolar disorder. Polygenic risk scores derived from the primary UK Biobank sample captured

  2. Genome-wide analysis of over 106 000 individuals identifies 9 neuroticism-associated loci

    Science.gov (United States)

    Smith, D J; Escott-Price, V; Davies, G; Bailey, M E S; Colodro-Conde, L; Ward, J; Vedernikov, A; Marioni, R; Cullen, B; Lyall, D; Hagenaars, S P; Liewald, D C M; Luciano, M; Gale, C R; Ritchie, S J; Hayward, C; Nicholl, B; Bulik-Sullivan, B; Adams, M; Couvy-Duchesne, B; Graham, N; Mackay, D; Evans, J; Smith, B H; Porteous, D J; Medland, S E; Martin, N G; Holmans, P; McIntosh, A M; Pell, J P; Deary, I J; O'Donovan, M C

    2016-01-01

    Neuroticism is a personality trait of fundamental importance for psychological well-being and public health. It is strongly associated with major depressive disorder (MDD) and several other psychiatric conditions. Although neuroticism is heritable, attempts to identify the alleles involved in previous studies have been limited by relatively small sample sizes. Here we report a combined meta-analysis of genome-wide association study (GWAS) of neuroticism that includes 91 370 participants from the UK Biobank cohort, 6659 participants from the Generation Scotland: Scottish Family Health Study (GS:SFHS) and 8687 participants from a QIMR (Queensland Institute of Medical Research) Berghofer Medical Research Institute (QIMR) cohort. All participants were assessed using the same neuroticism instrument, the Eysenck Personality Questionnaire-Revised (EPQ-R-S) Short Form's Neuroticism scale. We found a single-nucleotide polymorphism-based heritability estimate for neuroticism of ∼15% (s.e.=0.7%). Meta-analysis identified nine novel loci associated with neuroticism. The strongest evidence for association was at a locus on chromosome 8 (P=1.5 × 10−15) spanning 4 Mb and containing at least 36 genes. Other associated loci included interesting candidate genes on chromosome 1 (GRIK3 (glutamate receptor ionotropic kainate 3)), chromosome 4 (KLHL2 (Kelch-like protein 2)), chromosome 17 (CRHR1 (corticotropin-releasing hormone receptor 1) and MAPT (microtubule-associated protein Tau)) and on chromosome 18 (CELF4 (CUGBP elav-like family member 4)). We found no evidence for genetic differences in the common allelic architecture of neuroticism by sex. By comparing our findings with those of the Psychiatric Genetics Consortia, we identified a strong genetic correlation between neuroticism and MDD and a less strong but significant genetic correlation with schizophrenia, although not with bipolar disorder. Polygenic risk scores derived from the primary UK Biobank sample captured

  3. Large scale association analysis identifies three susceptibility loci for coronary artery disease.

    Directory of Open Access Journals (Sweden)

    Stephanie Saade

    Full Text Available Genome wide association studies (GWAS and their replications that have associated DNA variants with myocardial infarction (MI and/or coronary artery disease (CAD are predominantly based on populations of European or Eastern Asian descent. Replication of the most significantly associated polymorphisms in multiple populations with distinctive genetic backgrounds and lifestyles is crucial to the understanding of the pathophysiology of a multifactorial disease like CAD. We have used our Lebanese cohort to perform a replication study of nine previously identified CAD/MI susceptibility loci (LTA, CDKN2A-CDKN2B, CELSR2-PSRC1-SORT1, CXCL12, MTHFD1L, WDR12, PCSK9, SH2B3, and SLC22A3, and 88 genes in related phenotypes. The study was conducted on 2,002 patients with detailed demographic, clinical characteristics, and cardiac catheterization results. One marker, rs6922269, in MTHFD1L was significantly protective against MI (OR=0.68, p=0.0035, while the variant rs4977574 in CDKN2A-CDKN2B was significantly associated with MI (OR=1.33, p=0.0086. Associations were detected after adjustment for family history of CAD, gender, hypertension, hyperlipidemia, diabetes, and smoking. The parallel study of 88 previously published genes in related phenotypes encompassed 20,225 markers, three quarters of which with imputed genotypes The study was based on our genome-wide genotype data set, with imputation across the whole genome to HapMap II release 22 using HapMap CEU population as a reference. Analysis was conducted on both the genotyped and imputed variants in the 88 regions covering selected genes. This approach replicated HNRNPA3P1-CXCL12 association with CAD and identified new significant associations of CDKAL1, ST6GAL1, and PTPRD with CAD. Our study provides evidence for the importance of the multifactorial aspect of CAD/MI and describes genes predisposing to their etiology.

  4. Gastric Cancer Associated Genes Identified by an Integrative Analysis of Gene Expression Data

    Science.gov (United States)

    Jiang, Bing; Li, Shuwen; Jiang, Zhi

    2017-01-01

    Gastric cancer is one of the most severe complex diseases with high morbidity and mortality in the world. The molecular mechanisms and risk factors for this disease are still not clear since the cancer heterogeneity caused by different genetic and environmental factors. With more and more expression data accumulated nowadays, we can perform integrative analysis for these data to understand the complexity of gastric cancer and to identify consensus players for the heterogeneous cancer. In the present work, we screened the published gene expression data and analyzed them with integrative tool, combined with pathway and gene ontology enrichment investigation. We identified several consensus differentially expressed genes and these genes were further confirmed with literature mining; at last, two genes, that is, immunoglobulin J chain and C-X-C motif chemokine ligand 17, were screened as novel gastric cancer associated genes. Experimental validation is proposed to further confirm this finding. PMID:28232943

  5. Genome-wide meta-analysis identifies multiple novel associations and ethnic heterogeneity of psoriasis susceptibility.

    Science.gov (United States)

    Yin, Xianyong; Low, Hui Qi; Wang, Ling; Li, Yonghong; Ellinghaus, Eva; Han, Jiali; Estivill, Xavier; Sun, Liangdan; Zuo, Xianbo; Shen, Changbing; Zhu, Caihong; Zhang, Anping; Sanchez, Fabio; Padyukov, Leonid; Catanese, Joseph J; Krueger, Gerald G; Duffin, Kristina Callis; Mucha, Sören; Weichenthal, Michael; Weidinger, Stephan; Lieb, Wolfgang; Foo, Jia Nee; Li, Yi; Sim, Karseng; Liany, Herty; Irwan, Ishak; Teo, Yikying; Theng, Colin T S; Gupta, Rashmi; Bowcock, Anne; De Jager, Philip L; Qureshi, Abrar A; de Bakker, Paul I W; Seielstad, Mark; Liao, Wilson; Ståhle, Mona; Franke, Andre; Zhang, Xuejun; Liu, Jianjun

    2015-04-23

    Psoriasis is a common inflammatory skin disease with complex genetics and different degrees of prevalence across ethnic populations. Here we present the largest trans-ethnic genome-wide meta-analysis (GWMA) of psoriasis in 15,369 cases and 19,517 controls of Caucasian and Chinese ancestries. We identify four novel associations at LOC144817, COG6, RUNX1 and TP63, as well as three novel secondary associations within IFIH1 and IL12B. Fine-mapping analysis of MHC region demonstrates an important role for all three HLA class I genes and a complex and heterogeneous pattern of HLA associations between Caucasian and Chinese populations. Further, trans-ethnic comparison suggests population-specific effect or allelic heterogeneity for 11 loci. These population-specific effects contribute significantly to the ethnic diversity of psoriasis prevalence. This study not only provides novel biological insights into the involvement of immune and keratinocyte development mechanism, but also demonstrates a complex and heterogeneous genetic architecture of psoriasis susceptibility across ethnic populations.

  6. Genome-Wide Pathway Analysis Identifies Genetic Pathways Associated with Psoriasis.

    Science.gov (United States)

    Aterido, Adrià; Julià, Antonio; Ferrándiz, Carlos; Puig, Lluís; Fonseca, Eduardo; Fernández-López, Emilia; Dauden, Esteban; Sánchez-Carazo, José Luís; López-Estebaranz, José Luís; Moreno-Ramírez, David; Vanaclocha, Francisco; Herrera, Enrique; de la Cueva, Pablo; Dand, Nick; Palau, Núria; Alonso, Arnald; López-Lasanta, María; Tortosa, Raül; García-Montero, Andrés; Codó, Laia; Gelpí, Josep Lluís; Bertranpetit, Jaume; Absher, Devin; Capon, Francesca; Myers, Richard M; Barker, Jonathan N; Marsal, Sara

    2016-03-01

    Psoriasis is a chronic inflammatory disease with a complex genetic architecture. To date, the psoriasis heritability is only partially explained. However, there is increasing evidence that the missing heritability in psoriasis could be explained by multiple genetic variants of low effect size from common genetic pathways. The objective of this study was to identify new genetic variation associated with psoriasis risk at the pathway level. We genotyped 598,258 single nucleotide polymorphisms in a discovery cohort of 2,281 case-control individuals from Spain. We performed a genome-wide pathway analysis using 1,053 reference biological pathways. A total of 14 genetic pathways (PFDR ≤ 2.55 × 10(-2)) were found to be significantly associated with psoriasis risk. Using an independent validation cohort of 7,353 individuals from the UK, a total of 6 genetic pathways were significantly replicated (PFDR ≤ 3.46 × 10(-2)). We found genetic pathways that had not been previously associated with psoriasis risk such as retinol metabolism (Pcombined = 1.84 × 10(-4)), the transport of inorganic ions and amino acids (Pcombined = 1.57 × 10(-7)), and post-translational protein modification (Pcombined = 1.57 × 10(-7)). In the latter pathway, MGAT5 showed a strong network centrality, and its association with psoriasis risk was further validated in an additional case-control cohort of 3,429 individuals (P psoriasis susceptibility.

  7. Comparative Transcriptome Analysis Identifies CCDC80 as a Novel Gene Associated with Pulmonary Arterial Hypertension

    Directory of Open Access Journals (Sweden)

    Yuhei eNishimura

    2016-06-01

    Full Text Available Pulmonary arterial hypertension (PAH is a heterogeneous disorder associated with a progressive increase in pulmonary artery resistance and pressure. Although various therapies have been developed, the 5-year survival rate of PAH patients remains low. There is thus an important need to identify novel genes that are commonly dysregulated in PAH of various etiologies and could be used as biomarkers and/or therapeutic targets. In this study, we performed comparative transcriptome analysis of five mammalian PAH datasets downloaded from a public database. We identified 228 differentially expressed genes (DEGs from a rat PAH model caused by inhibition of vascular endothelial growth factor receptor under hypoxic conditions, 379 DEGs from a mouse PAH model associated with systemic sclerosis, 850 DEGs from a mouse PAH model associated with schistosomiasis, 1598 DEGs from one cohort of human PAH patients, and 4260 DEGs from a second cohort of human PAH patients. Gene-by-gene comparison identified four genes that were differentially upregulated or downregulated in parallel in all five sets of DEGs. Expression of coiled-coil domain containing 80 (CCDC80 and anterior gradient 2 genes was significantly increased in the five datasets, whereas expression of SMAD family member 6 and granzyme A was significantly decreased. Weighted gene co-expression network analysis revealed a connection between CCDC80 and collagen type I alpha 1 (COL1A1 expression. To validate the function of CCDC80 in vivo, we knocked out ccdc80 in zebrafish using the clustered regularly interspaced short palindromic repeats (CRISPR/Cas9 system. In vivo imaging of zebrafish expressing a fluorescent protein in endothelial cells showed that ccdc80 deletion significantly increased the diameter of the ventral artery, a vessel supplying blood to the gills. We also demonstrated that expression of col1a1 and endothelin-1 mRNA was significantly decreased in the ccdc80-knockout zebrafish. Finally, we

  8. Alternative mRNA fates identified in microRNA-associated transcriptome analysis

    Directory of Open Access Journals (Sweden)

    Carroll Adam P

    2012-10-01

    Full Text Available Abstract Background MicroRNA (miRNA are small non-coding RNA molecules which function as nucleic acid-based specificity factors in the universal RNA binding complex known as the RNA induced silencing complex (RISC. In the canonical gene-silencing pathway, these activated RISC particles are associated with RNA decay and gene suppression, however, there is evidence to suggest that in some circumstances they may also stabilise their target RNA and even enhance translation. To further explore the role of miRNA in this context, we performed a genome-wide expression analysis to investigate the molecular consequences of bidirectional modulation of the disease-associated miRNAs miR-181b and miR-107 in multiple human cell lines. Results This data was subjected to pathways analysis and correlated against miRNA targets predicted through seed region homology. This revealed a large number of both conserved and non-conserved miRNA target genes, a selection of which were functionally validated through reporter gene assays. Contrary to expectation we also identified a significant proportion of predicted target genes with both conserved and non-conserved recognition elements that were positively correlated with the modulated miRNA. Finally, a large proportion of miR-181b associated genes devoid of the corresponding miRNA recognition element, were enriched with binding motifs for the E2F1 transcription factor, which is encoded by a miR-181b target gene. Conclusions These findings suggest that miRNA regulate target genes directly through interactions with both conserved and non-conserved target recognition elements, and can lead to both a decrease and increase in transcript abundance. They also multiply their influence through interaction with transcription factor genes exemplified by the observed miR-181b/E2F1 relationship.

  9. Large-scale association analysis identifies 13 new susceptibility loci for coronary artery disease

    NARCIS (Netherlands)

    H. Schunkert (Heribert); I.R. König (Inke); S. Kathiresan (Sekar); M.P. Reilly (Muredach); T.L. Assimes (Themistocles); H. Holm (Hilma); M. Preuss (Michael); A.F.R. Stewart (Alexandre); M. Barbalic (maja); C. Gieger (Christian); D. Absher (Devin); Z. Aherrahrou (Zouhair); H. Allayee (Hooman); D. Altshuler (David); S.S. Anand (Sonia); K. Andersen (Karl); J.L. Anderson (Jeffrey); D. Ardissino (Diego); S.G. Ball (Stephen); A.J. Balmforth (Anthony); T.A. Barnes (Timothy); D.M. Becker (Diane); K. Berger (Klaus); J.C. Bis (Joshua); S.M. Boekholdt (Matthijs); E. Boerwinkle (Eric); P.S. Braund (Peter); M.J. Brown (Morris); M.S. Burnett; I. Buysschaert (Ian); J.F. Carlquist (John); L. Chen (Li); S. Cichon (Sven); V. Codd (Veryan); R.W. Davies (Robert); G.V. Dedoussis (George); A. Dehghan (Abbas); S. Demissie (Serkalem); J. Devaney (Joseph); P. Diemert (Patrick); R. Do (Ron); A. Doering (Angela); S. Eifert (Sandra); N.E.E. Mokhtari; S.G. Ellis (Stephen); R. Elosua (Roberto); J.C. Engert (James); S.E. Epstein (Stephen); U. de Faire (Ulf); M. Fischer (Marcus); A.R. Folsom (Aaron); J. Freyer (Jennifer); B. Gigante (Bruna); D. Girelli (Domenico); S. Gretarsdottir (Solveig); V. Gudnason (Vilmundur); J.R. Gulcher (Jeffrey); E. Halperin (Eran); N. Hammond (Naomi); S.L. Hazen (Stanley); A. Hofman (Albert); B.D. Horne (Benjamin); T. Illig (Thomas); C. Iribarren (Carlos); G.T. Jones (Gregory); J.W. Jukema (Jan Wouter); M.A. Kaiser (Michael); R.C. Kaplan (Robert); K-T. Khaw (Kay-Tee); J.W. Knowles (Joshua); G. Kolovou (Genovefa); A. Kong (Augustine); R. Laaksonen (Reijo); D. Lambrechts (Diether); K. Leander (Karin); G. Lettre (Guillaume); X. Li (Xiaohui); W. Lieb (Wolfgang); C. Loley (Christina); A.J. Lotery (Andrew); P.M. Mannucci (Pier); S. Maouche (Seraya); N. Martinelli (Nicola); P.P. McKeown (Pascal); C. Meisinger (Christa); T. Meitinger (Thomas); O. Melander (Olle); P.A. Merlini; V. Mooser (Vincent); T. Morgan (Thomas); T.W. Mühleisen (Thomas); J.B. Muhlestein (Joseph); T. Münzel (Thomas); K. Musunuru (Kiran); J. Nahrstaedt (Janja); C.P. Nelson (Christopher P.); M.M. Nöthen (Markus); O. Olivieri (Oliviero); R.S. Patel (Riyaz); C.C. Patterson (Chris); A. Peters (Annette); F. Peyvandi (Flora); L. Qu (Liming); A.A. Quyyumi (Arshed); D.J. Rader (Daniel); L.S. Rallidis (Loukianos); C. Rice (Catherine); F.R. Rosendaal (Frits); D. Rubin (Diana); V. Salomaa (Veikko); M.L. Sampietro (Maria Lourdes); M.S. Sandhu (Manj); E.E. Schadt (Eric); A. Scḧsignfer (Arne); A. Schillert (Arne); S. Schreiber (Stefan); J. Schrezenmeir (Jürgen); S.M. Schwartz (Stephen); D.S. Siscovick (David); M. Sivananthan (Mohan); S. Sivapalaratnam (Suthesh); A.V. Smith (Albert Vernon); J.D. Snoep (Jaapjan); N. Soranzo (Nicole); J.A. Spertus (John); K. Stark (Klaus); K. Stirrups (Kathy); M. Stoll (Monika); W.H.W. Tang (Wilson); S. Tennstedt (Stephanie); G. Thorgeirsson (Gudmundur); G. Thorleifsson (Gudmar); M. Tomaszewski; A.G. Uitterlinden (André); A.M. van Rij (Andre); B.F. Voight (Benjamin); N.J. Wareham (Nick); G.A. Wells (George); H.E. Wichmann (Heinz Erich); P.S. Wild (Philipp); C. Willenborg (Christina); J.C.M. Witteman (Jacqueline); B.J. Wright (Benjamin); S. Ye (Shu); T. Zeller (Tanja); A. Ziegler; F. Cambien (François); A.H. Goodall (Alison); L.A. Cupples (Adrienne); T. Quertermous (Thomas); W. Mäsignrz (Winfried); C. Hengstenberg (Christian); S. Blankenberg (Stefan); W.H. Ouwehand (Willem); A.S. Hall (Alistair); J.J.P. Kastelein (John); P. Deloukas (Panagiotis); J.R. Thompson (John); K. Stefansson (Kari); R. Roberts (Robert); U. Thorsteinsdottir (Unnur); C.J. O'Donnell (Christopher); R. McPherson (Ruth); J. Erdmann (Jeanette); N.J. Samani (Nilesh)

    2011-01-01

    textabstractWe performed a meta-analysis of 14 genome-wide association studies of coronary artery disease (CAD) comprising 22,233 individuals with CAD (cases) and 64,762 controls of European descent followed by genotyping of top association signals in 56,682 additional individuals. This analysis ide

  10. Genome-wide association analysis identifies three new breast cancer susceptibility loci

    DEFF Research Database (Denmark)

    Ghoussaini, Maya; Fletcher, Olivia; Michailidou, Kyriaki

    2012-01-01

    Breast cancer is the most common cancer among women. To date, 22 common breast cancer susceptibility loci have been identified accounting for ∼8% of the heritability of the disease. We attempted to replicate 72 promising associations from two independent genome-wide association studies (GWAS) in ...

  11. Genome-wide association analysis identifies three new breast cancer susceptibility loci

    NARCIS (Netherlands)

    Ghoussaini, M.; Fletcher, O.; Michailidou, K.; Turnbull, C.; Schmidt, M.K.; Dicks, E.; Dennis, J.; Wang, Q.; Humphreys, M.K.; Luccarini, C.; Baynes, C.; Conroy, D.; Maranian, M.; Ahmed, S.; Driver, K.; Johnson, N.; Orr, N.; dos Santos Silva, I.; Waisfisz, Q.; Meijers-Heijboer, H.; Uitterlinden, A.G.; Rivadeneira, F.; Hall, P.; Czene, K.; Irwanto, A.; Liu, J.; Nevanlinna, H.; Aittomaki, K.; Blomqvist, C.; Meindl, A.; Schmutzler, R.K.; Muller-Myhsok, B.; Lichtner, P.; Chang-Claude, J.; Hein, R.; Nickels, S.; Flesch-Janys, D.; Tsimiklis, H.; Makalic, E.; Schmidt, D.; Bui, M.; Hopper, J.L.; Apicella, C.; Park, D.J.; Southey, M.; Hunter, D.J.; Chanock, S.J.; Broeks, A.; Verhoef, S.; Hogervorst, F.B.; Fasching, P.A.; Lux, M.P.; Beckmann, M.W.; Ekici, A.B.; Sawyer, E.; Tomlinson, I.; Kerin, M.; Marme, F.; Schneeweiss, A.; Sohn, C.; Burwinkel, B.; Guenel, P.; Truong, T.; Cordina-Duverger, E.; Menegaux, F.; Bojesen, S.E.; Nordestgaard, B.G.; Nielsen, S.F.; Flyger, H.; Milne, R.L.; Alonso, M.R.; Gonzalez-Neira, A.; Benitez, J.; Anton-Culver, H.; Ziogas, A.; Bernstein, L.; Dur, C.C.; Brenner, H.; Muller, H.; Arndt, V.; Stegmaier, C.; Justenhoven, C.; Brauch, H.; Bruning, T.; Wang-Gohrke, S.; Eilber, U.; Dork, T.; Schurmann, P.; Bremer, M.; Hillemanns, P.; Bogdanova, N.V.; Antonenkova, N.N.; Rogov, Y.I.; Karstens, J.H.; Bermisheva, M.; Prokofieva, D.; Ligtenberg, M.J.

    2012-01-01

    Breast cancer is the most common cancer among women. To date, 22 common breast cancer susceptibility loci have been identified accounting for approximately 8% of the heritability of the disease. We attempted to replicate 72 promising associations from two independent genome-wide association studies

  12. Genome-wide association analysis of more than 120,000 individuals identifies 15 new susceptibility loci for breast cancer

    NARCIS (Netherlands)

    Michailidou, Kyriaki; Beesley, Jonathan; Lindstrom, Sara; Canisius, Sander; Dennis, Joe; Lush, Michael J.; Maranian, Mel J.; Bolla, Manjeet K.; Wang, Qin; Shah, Mitul; Perkins, Barbara J.; Czene, Kamila; Eriksson, Mikael; Darabi, Hatef; Brand, Judith S.; Bojesen, Stig E.; Nordestgaard, Borge G.; Flyger, Henrik; Nielsen, Sune F.; Rahman, Nazneen; Turnbull, Clare; Fletcher, Olivia; Peto, Julian; Gibson, Lorna; dos-Santos-Silva, Isabel; Chang-Claude, Jenny; Flesch-Janys, Dieter; Rudolph, Anja; Eilber, Ursula; Behrens, Sabine; Nevanlinna, Heli; Muranen, Taru A.; Aittomaki, Kristiina; Blomqvist, Carl; Khan, Sofia; Aaltonen, Kirsimari; Ahsan, Habibul; Kibriya, Muhammad G.; Whittemore, Alice S.; John, Esther M.; Malone, Kathleen E.; Gammon, Marilie D.; Santella, Regina M.; Ursin, Giske; Makalic, Enes; Schmidt, Daniel F.; Casey, Graham; Hunter, David J.; Gapstur, Susan M.; Gaudet, Mia M.; Diver, W. Ryan; Haiman, Christopher A.; Schumacher, Fredrick; Henderson, Brian E.; Le Marchand, Loic; Berg, Christine D.; Chanock, Stephen J.; Figueroa, Jonine; Hoover, Robert N.; Lambrechts, Diether; Neven, Patrick; Wildiers, Hans; van Limbergen, Erik; Schmidt, Marjanka K.; Broeks, Annegien; Verhoef, Senno; Cornelissen, Sten; Couch, Fergus J.; Olson, Janet E.; Hallberg, Emily; Vachon, Celine; Waisfisz, Quinten; Meijers-Heijboer, Hanne; Adank, Muriel A.; van der Luijt, Rob B.; Li, Jingmei; Liu, Jianjun; Humphreys, Keith; Kang, Daehee; Choi, Ji-Yeob; Park, Sue K.; Yoo, Keun-Young; Matsuo, Keitaro; Ito, Hidemi; Iwata, Hiroji; Tajima, Kazuo; Guenel, Pascal; Truong, Therese; Mulot, Claire; Sanchez, Marie; Burwinkel, Barbara; Marme, Frederik; Surowy, Harald; Sohn, Christof; Wu, Anna H.; Tseng, Chiu-chen; Van den Berg, David; Stram, Daniel O.; Gonzalez-Neira, Anna; Benitez, Javier; Zamora, M. Pilar; Arias Perez, Jose Ignacio; Shu, Xiao-Ou; Lu, Wei; Gao, Yu-Tang; Cai, Hui; Cox, Angela; Cross, Simon S.; Reed, Malcolm W. R.; Andrulis, Irene L.; Knight, Julia A.; Glendon, Gord; Mulligan, Anna Marie; Sawyer, Elinor J.; Tomlinson, Ian; Kerin, Michael J.; Miller, Nicola; Lindblom, Annika; Margolin, Sara; Teo, Soo Hwang; Yip, Cheng Har; Taib, Nur Aishah Mohd; Tan, Gie-Hooi; Hooning, Maartje J.; Hollestelle, Antoinette; Martens, John W. M.; Collee, J. Margriet; Blot, William; Signorello, Lisa B.; Cai, Qiuyin; Hopper, John L.; Southey, Melissa C.; Tsimiklis, Helen; Apicella, Carmel; Shen, Chen-Yang; Hsiung, Chia-Ni; Wu, Pei-Ei; Hou, Ming-Feng; Kristensen, Vessela N.; Nord, Silje; Alnaes, Grethe I. Grenaker; Giles, Graham G.; Milne, Roger L.; McLean, Catriona; Canzian, Federico; Trichopoulos, Dimitrios; Peeters, Petra; Lund, Eiliv; Sund, Malin; Khaw, Kay-Tee; Gunter, Marc J.; Palli, Domenico; Mortensen, Lotte Maxild; Dossus, Laure; Huerta, Jose-Maria; Meindl, Alfons; Schmutzler, Rita K.; Sutter, Christian; Yang, Rongxi; Muir, Kenneth; Lophatananon, Artitaya; Stewart-Brown, Sarah; Siriwanarangsan, Pornthep; Hartman, Mikael; Miao, Hui; Chia, Kee Seng; Chan, Ching Wan; Fasching, Peter A.; Hein, Alexander; Beckmann, Matthias W.; Haeberle, Lothar; Brenner, Hermann; Dieffenbach, Aida Karina; Arndt, Volker; Stegmaier, Christa; Ashworth, Alan; Orr, Nick; Schoemaker, Minouk J.; Swerdlow, Anthony J.; Brinton, Louise; Garcia-Closas, Montserrat; Zheng, Wei; Halverson, Sandra L.; Shrubsole, Martha; Long, Jirong; Goldberg, Mark S.; Labreche, France; Dumont, Martine; Winqvist, Robert; Pylkas, Katri; Jukkola-Vuorinen, Arja; Grip, Mervi; Brauch, Hiltrud; Hamann, Ute; Bruening, Thomas; Radice, Paolo; Peterlongo, Paolo; Manoukian, Siranoush; Bernard, Loris; Bogdanova, Natalia V.; Doerk, Thilo; Mannermaa, Arto; Kataja, Vesa; Kosma, Veli-Matti; Hartikainen, Jaana M.; Devilee, Peter; Tollenaar, Robert A. E. M.; Seynaeve, Caroline; Van Asperen, Christi J.; Jakubowska, Anna; Lubinski, Jan; Jaworska, Katarzyna; Huzarski, Tomasz; Sangrajrang, Suleeporn; Gaborieau, Valerie; Brennan, Paul; Mckay, James; Slager, Susan; Toland, Amanda E.; Ambrosone, Christine B.; Yannoukakos, Drakoulis; Kabisch, Maria; Torres, Diana; Neuhausen, Susan L.; Anton-Culver, Hoda; Luccarini, Craig; Baynes, Caroline; Ahmed, Shahana; Healey, Catherine S.; Tessier, Daniel C.; Vincent, Daniel; Bacot, Francois; Pita, Guillermo; Rosario Alonso, M.; Alvarez, Nuria; Herrero, Daniel; Simard, Jacques; Pharoah, Paul P. D. P.; Kraft, Peter; Dunning, Alison M.; Chenevix-Trench, Georgia; Hall, Per; Easton, Douglas F.

    2015-01-01

    Genome-wide association studies (GWAS) and large-scale replication studies have identified common variants in 79 loci associated with breast cancer, explaining similar to 14% of the familial risk of the disease. To identify new susceptibility loci, we performed a meta-analysis of 11 GWAS, comprising

  13. Genome-wide association analysis of more than 120,000 individuals identifies 15 new susceptibility loci for breast cancer

    NARCIS (Netherlands)

    K. Michailidou (Kyriaki); J. Beesley (Jonathan); S. Lindstrom (Stephen); S. Canisius (Sander); J. Dennis (Joe); M. Lush (Michael); M. Maranian (Melanie); M.K. Bolla (Manjeet); Q. Wang (Qing); M. Shah (Mitul); B. Perkins (Barbara); K. Czene (Kamila); M. Eriksson (Mikael); H. Darabi (Hatef); J.S. Brand (Judith S.); S.E. Bojesen (Stig); B.G. Nordestgaard (Børge); H. Flyger (Henrik); S.F. Nielsen (Sune); N. Rahman (Nazneen); C. Turnbull (Clare); O. Fletcher (Olivia); J. Peto (Julian); L.J. Gibson (Lorna); I. dos Santos Silva (Isabel); J. Chang-Claude (Jenny); D. Flesch-Janys (Dieter); A. Rudolph (Anja); U. Eilber (Ursula); T.W. Behrens (Timothy); H. Nevanlinna (Heli); T.A. Muranen (Taru); K. Aittomäki (Kristiina); C. Blomqvist (Carl); S. Khan (Sofia); K. Aaltonen (Kirsimari); H. Ahsan (Habibul); M.G. Kibriya (Muhammad); A.S. Whittemore (Alice S.); E.M. John (Esther M.); K.E. Malone (Kathleen E.); M.D. Gammon (Marilie); R.M. Santella (Regina M.); G. Ursin (Giske); E. Makalic (Enes); D.F. Schmidt (Daniel); G. Casey (Graham); D.J. Hunter (David J.); S.M. Gapstur (Susan M.); M.M. Gaudet (Mia); W.R. Diver (Ryan); C.A. Haiman (Christopher A.); F.R. Schumacher (Fredrick); B.E. Henderson (Brian); L. Le Marchand (Loic); C.D. Berg (Christine); S.J. Chanock (Stephen); J.D. Figueroa (Jonine); R.N. Hoover (Robert N.); D. Lambrechts (Diether); P. Neven (Patrick); H. Wildiers (Hans); E. van Limbergen (Erik); M.K. Schmidt (Marjanka); A. Broeks (Annegien); S. Verhoef; S. Cornelissen (Sten); F.J. Couch (Fergus); J.E. Olson (Janet); B. Hallberg (Boubou); C. Vachon (Celine); Q. Waisfisz (Quinten); E.J. Meijers-Heijboer (Hanne); M.A. Adank (Muriel); R.B. van der Luijt (Rob); J. Li (Jingmei); J. Liu (Jianjun); M.K. Humphreys (Manjeet); D. Kang (Daehee); J.-Y. Choi (Ji-Yeob); S.K. Park (Sue K.); K.Y. Yoo; K. Matsuo (Keitaro); H. Ito (Hidemi); H. Iwata (Hiroji); K. Tajima (Kazuo); P. Guénel (Pascal); T. Truong (Thérèse); C. Mulot (Claire); M. Sanchez (Marie); B. Burwinkel (Barbara); F. Marme (Federick); H. Surowy (Harald); C. Sohn (Christof); A.H. Wu (Anna H); C.-C. Tseng (Chiu-chen); D. Van Den Berg (David); D.O. Stram (Daniel O.); A. González-Neira (Anna); J. Benítez (Javier); M.P. Zamora (Pilar); J.I.A. Perez (Jose Ignacio Arias); X.-O. Shu (Xiao-Ou); W. Lu (Wei); Y. Gao; H. Cai (Hui); A. Cox (Angela); S.S. Cross (Simon); M.W.R. Reed (Malcolm); I.L. Andrulis (Irene); J.A. Knight (Julia); G. Glendon (Gord); A.-M. Mulligan (Anna-Marie); E.J. Sawyer (Elinor); I.P. Tomlinson (Ian); M. Kerin (Michael); N. Miller (Nicola); A. Lindblom (Annika); S. Margolin (Sara); S.H. Teo (Soo Hwang); C.H. Yip (Cheng Har); N.A.M. Taib (Nur Aishah Mohd); G.-H. Tan (Gie-Hooi); M.J. Hooning (Maartje); A. Hollestelle (Antoinette); J.W.M. Martens (John); J. Margriet Collée; W.J. Blot (William); L.B. Signorello (Lisa B.); Q. Cai (Qiuyin); J. Hopper (John); M.C. Southey (Melissa); H. Tsimiklis (Helen); C. Apicella (Carmel); C-Y. Shen (Chen-Yang); C.-N. Hsiung (Chia-Ni); P.-E. Wu (Pei-Ei); M.-F. Hou (Ming-Feng); V. Kristensen (Vessela); S. Nord (Silje); G.G. Alnæs (Grethe Grenaker); G.G. Giles (Graham G.); R.L. Milne (Roger); C.A. McLean (Catriona Ann); F. Canzian (Federico); D. Trichopoulos (Dimitrios); P.H.M. Peeters; E. Lund (Eiliv); R. Sund (Reijo); K.T. Khaw; M.J. Gunter (Marc J.); D. Palli (Domenico); L.M. Mortensen (Lotte Maxild); L. Dossus (Laure); J.-M. Huerta (Jose-Maria); A. Meindl (Alfons); R.K. Schmutzler (Rita); C. Sutter (Christian); R. Yang (Rongxi); K. Muir (Kenneth); A. Lophatananon (Artitaya); S. Stewart-Brown (Sarah); P. Siriwanarangsan (Pornthep); J.M. Hartman (Joost); X. Miao; K.S. Chia (Kee Seng); C.W. Chan (Ching Wan); P.A. Fasching (Peter); R. Hein (Rebecca); M.W. Beckmann (Matthias W.); L. Haeberle (Lothar); H. Brenner (Hermann); A.K. Dieffenbach (Aida Karina); V. Arndt (Volker); C. Stegmaier (Christa); A. Ashworth (Alan); N. Orr (Nick); M. Schoemaker (Minouk); A.J. Swerdlow (Anthony ); L.A. Brinton (Louise); M. García-Closas (Montserrat); W. Zheng (Wei); S.L. Halverson (Sandra L.); M. Shrubsole (Martha); J. Long (Jirong); M.S. Goldberg (Mark); F. Labrèche (France); M. Dumont (Martine); R. Winqvist (Robert); K. Pykäs (Katri); A. Jukkola-Vuorinen (Arja); M. Grip (Mervi); H. Brauch (Hiltrud); U. Hamann (Ute); T. Brüning (Thomas); P. Radice (Paolo); P. Peterlongo (Paolo); S. Manoukian (Siranoush); L. Bernard (Loris); N.V. Bogdanova (Natalia); T. Dörk (Thilo); A. Mannermaa (Arto); V. Kataja (Vesa); V-M. Kosma (Veli-Matti); J.M. Hartikainen (J.); P. Devilee (Peter); R.A.E.M. Tollenaar (Rob); C.M. Seynaeve (Caroline); C.J. van Asperen (Christi); A. Jakubowska (Anna); J. Lubinski (Jan); K. Jaworska (Katarzyna); T. Huzarski (Tomasz); S. Sangrajrang (Suleeporn); V. Gaborieau (Valerie); P. Brennan (Paul); J.D. McKay (James); S. Slager (Susan); A.E. Toland (Amanda); C.B. Ambrosone (Christine B.); D. Yannoukakos (Drakoulis); M. Kabisch (Maria); D. Torres (Diana); S.L. Neuhausen (Susan); H. Anton-Culver (Hoda); C. Luccarini (Craig); C. Baynes (Caroline); S. Ahmed (Shahana); S. Healey (Sue); D.C. Tessier (Daniel C.); D. Vincent (Daniel); F. Bacot (Francois); G. Pita (G.); M.R. Alonso (M Rosario); N. Álvarez (Nuria); D. Herrero (Daniel); J. Simard (Jacques); P.P.D.P. Pharoah (Paul P.D.P.); P. Kraft (Peter); A.M. Dunning (Alison); G. Chenevix-Trench (Georgia); P. Hall (Per); D.F. Easton (Douglas)

    2015-01-01

    textabstractGenome-wide association studies (GWAS) and large-scale replication studies have identified common variants in 79 loci associated with breast cancer, explaining ∼14% of the familial risk of the disease. To identify new susceptibility loci, we performed a meta-analysis of 11 GWAS, comprisi

  14. Genome-wide association analysis of more than 120,000 individuals identifies 15 new susceptibility loci for breast cancer

    DEFF Research Database (Denmark)

    Michailidou, Kyriaki; Beesley, Jonathan; Lindstrom, Sara

    2015-01-01

    Genome-wide association studies (GWAS) and large-scale replication studies have identified common variants in 79 loci associated with breast cancer, explaining ∼14% of the familial risk of the disease. To identify new susceptibility loci, we performed a meta-analysis of 11 GWAS, comprising 15,748...

  15. Five endometrial cancer risk loci identified through genome-wide association analysis.

    Science.gov (United States)

    Cheng, Timothy H T; Thompson, Deborah J; O'Mara, Tracy A; Painter, Jodie N; Glubb, Dylan M; Flach, Susanne; Lewis, Annabelle; French, Juliet D; Freeman-Mills, Luke; Church, David; Gorman, Maggie; Martin, Lynn; Hodgson, Shirley; Webb, Penelope M; Attia, John; Holliday, Elizabeth G; McEvoy, Mark; Scott, Rodney J; Henders, Anjali K; Martin, Nicholas G; Montgomery, Grant W; Nyholt, Dale R; Ahmed, Shahana; Healey, Catherine S; Shah, Mitul; Dennis, Joe; Fasching, Peter A; Beckmann, Matthias W; Hein, Alexander; Ekici, Arif B; Hall, Per; Czene, Kamila; Darabi, Hatef; Li, Jingmei; Dörk, Thilo; Dürst, Matthias; Hillemanns, Peter; Runnebaum, Ingo; Amant, Frederic; Schrauwen, Stefanie; Zhao, Hui; Lambrechts, Diether; Depreeuw, Jeroen; Dowdy, Sean C; Goode, Ellen L; Fridley, Brooke L; Winham, Stacey J; Njølstad, Tormund S; Salvesen, Helga B; Trovik, Jone; Werner, Henrica M J; Ashton, Katie; Otton, Geoffrey; Proietto, Tony; Liu, Tao; Mints, Miriam; Tham, Emma; Li, Mulin Jun; Yip, Shun H; Wang, Junwen; Bolla, Manjeet K; Michailidou, Kyriaki; Wang, Qin; Tyrer, Jonathan P; Dunlop, Malcolm; Houlston, Richard; Palles, Claire; Hopper, John L; Peto, Julian; Swerdlow, Anthony J; Burwinkel, Barbara; Brenner, Hermann; Meindl, Alfons; Brauch, Hiltrud; Lindblom, Annika; Chang-Claude, Jenny; Couch, Fergus J; Giles, Graham G; Kristensen, Vessela N; Cox, Angela; Cunningham, Julie M; Pharoah, Paul D P; Dunning, Alison M; Edwards, Stacey L; Easton, Douglas F; Tomlinson, Ian; Spurdle, Amanda B

    2016-06-01

    We conducted a meta-analysis of three endometrial cancer genome-wide association studies (GWAS) and two follow-up phases totaling 7,737 endometrial cancer cases and 37,144 controls of European ancestry. Genome-wide imputation and meta-analysis identified five new risk loci of genome-wide significance at likely regulatory regions on chromosomes 13q22.1 (rs11841589, near KLF5), 6q22.31 (rs13328298, in LOC643623 and near HEY2 and NCOA7), 8q24.21 (rs4733613, telomeric to MYC), 15q15.1 (rs937213, in EIF2AK4, near BMF) and 14q32.33 (rs2498796, in AKT1, near SIVA1). We also found a second independent 8q24.21 signal (rs17232730). Functional studies of the 13q22.1 locus showed that rs9600103 (pairwise r(2) = 0.98 with rs11841589) is located in a region of active chromatin that interacts with the KLF5 promoter region. The rs9600103[T] allele that is protective in endometrial cancer suppressed gene expression in vitro, suggesting that regulation of the expression of KLF5, a gene linked to uterine development, is implicated in tumorigenesis. These findings provide enhanced insight into the genetic and biological basis of endometrial cancer.

  16. Meta-analysis identifies 29 additional ulcerative colitis risk loci, increasing the number of confirmed associations to 47

    DEFF Research Database (Denmark)

    Anderson, Carl A; Boucher, Gabrielle; Lees, Charlie W

    2011-01-01

    Genome-wide association studies and candidate gene studies in ulcerative colitis have identified 18 susceptibility loci. We conducted a meta-analysis of six ulcerative colitis genome-wide association study datasets, comprising 6,687 cases and 19,718 controls, and followed up the top association s...

  17. Meta-analysis identifies 29 additional ulcerative colitis risk loci, increasing the number of confirmed associations to 47

    NARCIS (Netherlands)

    Anderson, Carl A.; Boucher, Gabrielle; Lees, Charlie W.; Franke, Andre; D'Amato, Mauro; Taylor, Kent D.; Lee, James C.; Goyette, Philippe; Imielinski, Marcin; Latiano, Anna; Lagace, Caroline; Scott, Regan; Amininejad, Leila; Bumpstead, Suzannah; Baidoo, Leonard; Baldassano, Robert N.; Barclay, Murray; Bayless, Theodore M.; Brand, Stephan; Buening, Carsten; Colombel, Jean-Frederic; Denson, Lee A.; De Vos, Martine; Dubinsky, Marla; Edwards, Cathryn; Ellinghaus, David; Fehrmann, Rudolf S. N.; Floyd, James A. B.; Florin, Timothy; Franchimont, Denis; Franke, Lude; Georges, Michel; Glas, Juergen; Glazer, Nicole L.; Guthery, Stephen L.; Haritunians, Talin; Hayward, Nicholas K.; Hugot, Jean-Pierre; Jobin, Gilles; Laukens, Debby; Lawrance, Ian; Lemann, Marc; Levine, Arie; Libioulle, Cecile; Louis, Edouard; McGovern, Dermot P.; Milla, Monica; Montgomery, Grant W.; Morley, Katherine I.; Mowat, Craig; Ng, Aylwin; Newman, William; Ophoff, Roel A.; Papi, Laura; Palmieri, Orazio; Peyrin-Biroulet, Laurent; Panes, Julian; Phillips, Anne; Prescott, Natalie J.; Proctor, Deborah D.; Roberts, Rebecca; Russell, Richard; Rutgeerts, Paul; Sanderson, Jeremy; Sans, Miquel; Schumm, Philip; Seibold, Frank; Sharma, Yashoda; Simms, Lisa A.; Seielstad, Mark; Steinhart, A. Hillary; Targan, Stephan R.; van den Berg, Leonard H.; Vatn, Morten; Verspaget, Hein; Walters, Thomas; Wijmenga, Cisca; Wilson, David C.; Westra, Harm-Jan; Xavier, Ramnik J.; Zhao, Zhen Z.; Ponsioen, Cyriel Y.; Andersen, Vibeke; Torkvist, Leif; Gazouli, Maria; Anagnou, Nicholas P.; Karlsen, Tom H.; Kupcinskas, Limas; Sventoraityte, Jurgita; Mansfield, John C.; Kugathasan, Subra; Silverberg, Mark S.; Halfvarson, Jonas; Rotter, Jerome I.; Mathew, Christopher G.; Griffiths, Anne M.; Gearry, Richard; Ahmad, Tariq; Brant, Steven R.; Chamaillard, Mathias; Satsangi, Jack; Cho, Judy H.; Schreiber, Stefan; Daly, Mark J.; Barrett, Jeffrey C.; Parkes, Miles; Annese, Vito; Hakonarson, Hakon; Radford-Smith, Graham; Duerr, Richard H.; Vermeire, Severine; Weersma, Rinse K.; Rioux, John D.

    2011-01-01

    Genome-wide association studies and candidate gene studies in ulcerative colitis have identified 18 susceptibility loci. We conducted a meta-analysis of six ulcerative colitis genome-wide association study datasets, comprising 6,687 cases and 19,718 controls, and followed up the top association sign

  18. A meta-analysis identifies new loci associated with body mass index in individuals of African ancestry

    NARCIS (Netherlands)

    Monda, Keri L.; Chen, Gary K.; Taylor, Kira C.; Palmer, Cameron; Edwards, Todd L.; Lange, Leslie A.; Ng, Maggie C. Y.; Adeyemo, Adebowale A.; Allison, Matthew A.; Bielak, Lawrence F.; Chen, Guanjie; Graff, Mariaelisa; Irvin, Marguerite R.; Rhie, Suhn K.; Li, Guo; Liu, Yongmei; Liu, Youfang; Lu, Yingchang; Nalls, Michael A.; Sun, Yan V.; Wojczynski, Mary K.; Yanek, Lisa R.; Aldrich, Melinda C.; Ademola, Adeyinka; Amos, Christopher I.; Bandera, Elisa V.; Bock, Cathryn H.; Britton, Angela; Broeckel, Ulrich; Cai, Quiyin; Caporaso, Neil E.; Carlson, Chris S.; Carpten, John; Casey, Graham; Chen, Wei-Min; Chen, Fang; Chen, Yii-Der I.; Chiang, Charleston W. K.; Coetzee, Gerhard A.; Demerath, Ellen; Deming-Halverson, Sandra L.; Driver, Ryan W.; Dubbert, Patricia; Feitosa, Mary F.; Feng, Ye; Freedman, Barry I.; Gillanders, Elizabeth M.; Gottesman, Omri; Guo, Xiuqing; Haritunians, Talin; Harris, Tamara; Harris, Curtis C.; Hennis, Anselm J. M.; Hernandez, Dena G.; McNeill, Lorna H.; Howard, Timothy D.; Howard, Barbara V.; Howard, Virginia J.; Johnson, Karen C.; Kang, Sun J.; Keating, Brendan J.; Kolb, Suzanne; Kuller, Lewis H.; Kutlar, Abdullah; Langefeld, Carl D.; Lettre, Guillaume; Lohman, Kurt; Lotay, Vaneet; Lyon, Helen; Manson, Joann E.; Maixner, William; Meng, Yan A.; Monroe, Kristine R.; Morhason-Bello, Imran; Murphy, Adam B.; Mychaleckyj, Josyf C.; Nadukuru, Rajiv; Nathanson, Katherine L.; Nayak, Uma; N'Diaye, Amidou; Nemesure, Barbara; Wu, Suh-Yuh; Leske, M. Cristina; Neslund-Dudas, Christine; Neuhouser, Marian; Nyante, Sarah; Ochs-Balcom, Heather; Ogunniyi, Adesola; Ogundiran, Temidayo O.; Ojengbede, Oladosu; Olopade, Olufunmilayo I.; Palmer, Julie R.; Ruiz-Narvaez, Edward A.; Palmer, Nicholette D.; Press, Michael F.; Rampersaud, Evandine; Rasmussen-Torvik, Laura J.; Rodriguez-Gil, Jorge L.; Salako, Babatunde; Schadt, Eric E.; Schwartz, Ann G.; Shriner, Daniel A.; Siscovick, David; Smith, Shad B.; Wassertheil-Smoller, Sylvia; Speliotes, Elizabeth K.; Spitz, Margaret R.; Sucheston, Lara; Taylor, Herman; Tayo, Bamidele O.; Tucker, Margaret A.; Van Den Berg, David J.; Edwards, Digna R. Velez; Wang, Zhaoming; Wiencke, John K.; Winkler, Thomas W.; Witte, John S.; Wrensch, Margaret; Wu, Xifeng; Yang, James J.; Levin, Albert M.; Young, Taylor R.; Zakai, Neil A.; Cushman, Mary; Zanetti, Krista A.; Zhao, Jing Hua; Zhao, Wei; Zheng, Yonglan; Zhou, Jie; Ziegler, Regina G.; Zmuda, Joseph M.; Fernandes, Jyotika K.; Gilkeson, Gary S.; Kamen, Diane L.; Hunt, Kelly J.; Spruill, Ida J.; Ambrosone, Christine B.; Ambs, Stefan; Arnett, Donna K.; Atwood, Larry; Becker, Diane M.; Berndt, Sonja I.; Bernstein, Leslie; Blot, William J.; Borecki, Ingrid B.; Bottinger, Erwin P.; Bowden, Donald W.; Burke, Gregory; Chanock, Stephen J.; Cooper, Richard S.; Ding, Jingzhong; Duggan, David; Evans, Michele K.; Fox, Caroline; Garvey, W. Timothy; Bradfield, Jonathan P.; Hakonarson, Hakon; Grant, Struan F. A.; Hsing, Ann; Chu, Lisa; Hu, Jennifer J.; Huo, Dezheng; Ingles, Sue A.; John, Esther M.; Jordan, Joanne M.; Kabagambe, Edmond K.; Kardia, Sharon L. R.; Kittles, Rick A.; Goodman, Phyllis J.; Klein, Eric A.; Kolonel, Laurence N.; Le Marchand, Loic; Liu, Simin; McKnight, Barbara; Millikan, Robert C.; Mosley, Thomas H.; Padhukasahasram, Badri; Williams, L. Keoki; Patel, Sanjay R.; Peters, Ulrike; Pettaway, Curtis A.; Peyser, Patricia A.; Psaty, Bruce M.; Redline, Susan; Rotimi, Charles N.; Rybicki, Benjamin A.; Sale, Michele M.; Schreiner, Pamela J.; Signorello, Lisa B.; Singleton, Andrew B.; Stanford, Janet L.; Strom, Sara S.; Thun, Michael J.; Vitolins, Mara; Zheng, Wei; Moore, Jason H.; Williams, Scott M.; Ketkar, Shamika; Zhu, Xiaofeng; Zonderman, Alan B.; Kooperberg, Charles; Papanicolaou, George J.; Henderson, Brian E.; Reiner, Alex P.; Hirschhorn, Joel N.; Loos, Ruth J. F.; North, Kari E.; Haiman, Christopher A.

    2013-01-01

    Genome-wide association studies (GWAS) have identified 36 loci associated with body mass index (BMI), predominantly in populations of European ancestry. We conducted a meta-analysis to examine the association of >3.2 million SNPs with BMI in 39,144 men and women of African ancestry and followed up t

  19. Genome-wide association analysis identifies three new susceptibility loci for childhood body mass index

    DEFF Research Database (Denmark)

    Felix, Janine F; Bradfield, Jonathan P; Monnereau, Claire;

    2016-01-01

    A large number of genetic loci are associated with adult body mass index. However, the genetics of childhood body mass index are largely unknown. We performed a meta-analysis of genome-wide association studies of childhood body mass index, using sex- and age-adjusted standard deviation scores. We...

  20. Genome-wide association analysis identifies three new susceptibility loci for childhood body mass index

    NARCIS (Netherlands)

    J.F. Felix (Janine); J.P. Bradfield (Jonathan); C. Monnereau; R.J.P. van der Valk (Ralf); E. Stergiakouli (Evie); A. Chesi (Alessandra); R. Gaillard (Romy); B. Feenstra (Bjarke); E. Thiering (Elisabeth); E. Kreiner-Møller (Eskil); A. Mahajan (Anubha); Niina Pitkänen; R. Joro (Raimo); A. Cavadino (Alana); V. Huikari (Ville); S. Franks (Steve); M. Groen-Blokhuis (Maria); D.L. Cousminer (Diana); J.A. Marsh (Julie); T. Lehtimäki (Terho); J.A. Curtin (John); J. Vioque (Jesus); T.S. Ahluwalia (Tarunveer Singh); R. Myhre (Ronny); T.S. Price (Thomas); Natalia Vilor-Tejedor; L. Yengo (Loic); N. Grarup (Niels); I. Ntalla (Ioanna); W.Q. Ang (Wei); M. Atalay (Mustafa); H. Bisgaard (Hans); A.I.F. Blakemore (Alexandra); A. Bonnefond (Amélie); L. Carstensen (Lisbeth); J.G. Eriksson (Johan G.); C. Flexeder (Claudia); L. Franke (Lude); F. Geller (Frank); M. Geserick (Mandy); A.L. Hartikainen; C.M.A. Haworth (Claire M.); J.N. Hirschhorn (Joel N.); A. Hofman (Albert); J.-C. Holm (Jens-Christian); M. Horikoshi (Momoko); J.J. Hottenga (Jouke Jan); J. Huang (Jian); H.N. Kadarmideen (Haja N.); M. Kähönen (Mika); W. Kiess (Wieland); T.A. Lakka (Timo); T.A. Lakka (Timo); A. Lewin (Alex); L. Liang (Liming); L.-P. Lyytikäinen (Leo-Pekka); B. Ma (Baoshan); P. Magnus (Per); S.E. McCormack (Shana E.); G. Mcmahon (George); F.D. Mentch (Frank); C.M. Middeldorp (Christel); C.S. Murray (Clare S.); K. Pahkala (Katja); T.H. Pers (Tune); R. Pfäffle (Roland); D.S. Postma (Dirkje); C. Power (Christine); A. Simpson (Angela); V. Sengpiel (Verena); C. Tiesler (Carla); M. Torrent (Maties); A.G. Uitterlinden (André); J.B.J. van Meurs (Joyce); R. Vinding (Rebecca); J. Waage (Johannes); J. Wardle (Jane); E. Zeggini (Eleftheria); B.S. Zemel (Babette S.); G.V. Dedoussis (George); O. Pedersen (Oluf); P. Froguel (Philippe); J. Sunyer (Jordi); R. Plomin (Robert); B. Jacobsson (Bo); T. Hansen (Torben); J.R. Gonzalez (Juan R.); A. Custovic; O.T. Raitakari (Olli T.); C.E. Pennell (Craig); Elisabeth Widén; D.I. Boomsma (Dorret); G.H. Koppelman (Gerard); S. Sebert (Sylvain); M.-R. Jarvelin (Marjo-Riitta); E. Hypponen (Elina); M.I. McCarthy (Mark); V. Lindi (Virpi); N. Harri (Niinikoski); A. Körner (Antje); K. Bønnelykke (Klaus); J. Heinrich (Joachim); M. Melbye (Mads); F. Rivadeneira Ramirez (Fernando); H. Hakonarson (Hakon); S.M. Ring (Susan); G.D. Smith; T.I.A. Sørensen (Thorkild I.A.); N. Timpson (Nicholas); S.F. Grant; V.W.V. Jaddoe (Vincent W. V.); H.J. Kalkwarf (Heidi J.); J.M. Lappe (Joan M.); V. Gilsanz (Vicente); S.E. Oberfield (Sharon E.); J.A. Shepherd (John A.); A. Kelly (Andrea)

    2016-01-01

    textabstractA large number of genetic loci are associated with adult body mass index. However, the genetics of childhood body mass index are largely unknown.We performed a meta-analysis of genome-wide association studies of childhood body mass index, using sex- and age-adjusted standard deviation sc

  1. Genome-wide association analysis identifies three new susceptibility loci for childhood body mass index

    NARCIS (Netherlands)

    Felix, Janine F; Bradfield, Jonathan P; Monnereau, Claire; van der Valk, Ralf J P; Stergiakouli, Evie; Chesi, Alessandra; Gaillard, Romy; Feenstra, Bjarke; Thiering, Elisabeth; Kreiner-Møller, Eskil; Mahajan, Anubha; Pitkänen, Niina; Joro, Raimo; Cavadino, Alana; Huikari, Ville; Franks, Steve; Groen-Blokhuis, Maria M; Cousminer, Diana L; Marsh, Julie A; Lehtimäki, Terho; Curtin, John A; Vioque, Jesus; Ahluwalia, Tarunveer S; Myhre, Ronny; Price, Thomas S; Vilor-Tejedor, Natalia; Yengo, Loïc; Grarup, Niels; Ntalla, Ioanna; Ang, Wei; Atalay, Mustafa; Bisgaard, Hans; Blakemore, Alexandra I; Bonnefond, Amelie; Carstensen, Lisbeth; Eriksson, Johan; Flexeder, Claudia; Franke, Lude; Geller, Frank; Geserick, Mandy; Hartikainen, Anna-Liisa; Haworth, Claire M A; Hirschhorn, Joel N; Hofman, Albert; Holm, Jens-Christian; Horikoshi, Momoko; Hottenga, Jouke Jan; Huang, Jinyan; Kadarmideen, Haja N; Kähönen, Mika; Kiess, Wieland; Lakka, Hanna-Maaria; Lakka, Timo A; Lewin, Alexandra M; Liang, Liming; Lyytikäinen, Leo-Pekka; Ma, Baoshan; Magnus, Per; McCormack, Shana E; McMahon, George; Mentch, Frank D; Middeldorp, Christel M; Murray, Clare S; Pahkala, Katja; Pers, Tune H; Pfäffle, Roland; Postma, Dirkje S; Power, Christine; Simpson, Angela; Sengpiel, Verena; Tiesler, Carla M T; Torrent, Maties; Uitterlinden, André G; van Meurs, Joyce B; Vinding, Rebecca; Waage, Johannes; Wardle, Jane; Zeggini, Eleftheria; Zemel, Babette S; Dedoussis, George V; Pedersen, Oluf; Froguel, Philippe; Sunyer, Jordi; Plomin, Robert; Jacobsson, Bo; Hansen, Torben; Gonzalez, Juan R; Custovic, Adnan; Raitakari, Olli T; Pennell, Craig E; Widén, Elisabeth; Boomsma, Dorret I; Koppelman, Gerard H; Sebert, Sylvain; Järvelin, Marjo-Riitta; Hyppönen, Elina; McCarthy, Mark I; Lindi, Virpi; Harri, Niinikoski; Körner, Antje; Bønnelykke, Klaus; Heinrich, Joachim; Melbye, Mads; Rivadeneira, Fernando; Hakonarson, Hakon; Ring, Susan M; Smith, George Davey; Sørensen, Thorkild I A; Timpson, Nicholas J; Grant, Struan F A; Jaddoe, Vincent W V

    2015-01-01

    A large number of genetic loci are associated with adult body mass index. However, the genetics of childhood body mass index are largely unknown. We performed a meta-analysis of genome-wide association studies of childhood body mass index, using sex- and age-adjusted standard deviation scores. We in

  2. Genome-wide association analysis identifies multiple loci related to resting heart rate

    NARCIS (Netherlands)

    Eijgelsheim, Mark; Newton-Cheh, Christopher; Sotoodehnia, Nona; de Bakker, Paul I. W.; Mueller, Martina; Morrison, Alanna C.; Smith, Albert V.; Isaacs, Aaron; Sanna, Serena; Doerr, Marcus; Navarro, Pau; Fuchsberger, Christian; Nolte, Ilja M.; de Geus, Eco J. C.; Estrada, Karol; Hwang, Shih-Jen; Bis, Joshua C.; Rueckert, Ina-Maria; Alonso, Alvaro; Launer, Lenore J.; Hottenga, Jouke Jan; Rivadeneira, Fernando; Noseworthy, Peter A.; Rice, Kenneth M.; Perz, Siegfried; Arking, Dan E.; Spector, Tim D.; Kors, Jan A.; Aulchenko, Yurii S.; Tarasov, Kirill V.; Homuth, Georg; Wild, Sarah H.; Marroni, Fabio; Gieger, Christian; Licht, Carmilla M.; Prineas, Ronald J.; Hofman, Albert; Rotter, Jerome I.; Hicks, Andrew A.; Ernst, Florian; Najjar, Samer S.; Wright, Alan F.; Peters, Annette; Fox, Ervin R.; Oostra, Ben A.; Kroemer, Heyo K.; Couper, David; Voelzke, Henry; Campbell, Harry; Meitinger, Thomas; Uda, Manuela; Witteman, Jacqueline C. M.; Psaty, Bruce M.; Wichmann, H-Erich; Harris, Tamara B.; Kaeaeb, Stefan; Siscovick, David S.; Jamshidi, Yalda; Uitterlinden, Andre G.; Folsom, Aaron R.; Larson, Martin G.; Wilson, James F.; Penninx, Brenda W.; Snieder, Harold; Pramstaller, Peter P.; van Duijn, Cornelia M.; Lakatta, Edward G.; Felix, Stephan B.; Gudnason, Vilmundur; Pfeufer, Arne; Heckbert, Susan R.; Stricker, Bruno H. Ch.; Boerwinkle, Eric; O'Donnell, Christopher J.

    2010-01-01

    Higher resting heart rate is associated with increased cardiovascular disease and mortality risk. Though heritable factors play a substantial role in population variation, little is known about specific genetic determinants. This knowledge can impact clinical care by identifying novel factors that i

  3. Genome-wide association analysis identifies multiple loci related to resting heart rate

    NARCIS (Netherlands)

    M. Eijgelsheim (Mark); C. Newton-Cheh (Christopher); N. Sotoodehnia (Nona); P.I.W. de Bakker (Paul); M. Müller (Martina); A.C. Morrison (Alanna); A.V. Smith (Albert Vernon); A.J. Isaacs (Aaron); S. Sanna (Serena); M. Dörr (Marcus); P. Navarro (Pau); C. Fuchsberger (Christian); I.M. Nolte (Ilja); E.J.C. de Geus (Eco); K. Estrada Gil (Karol); S.J. Hwang; J.C. Bis (Joshua); I.M. Rückert; A. Alonso (Alvaro); L.J. Launer (Lenore); J.J. Hottenga (Jouke Jan); F. Rivadeneira Ramirez (Fernando); P.A. Noseworthy (Peter); K. Rice (Kenneth); S. Perz (Siegfried); D.E. Arking (Dan); T.D. Spector (Tim); J.A. Kors (Jan); Y.S. Aulchenko (Yurii); K.V. Tarasov (Kirill); G. Homuth (Georg); S.H. Wild (Sarah); F. Marroni (Fabio); C. Gieger (Christian); C.M. Licht (Carmilla); R.J. Prineas (Ronald); A. Hofman (Albert); J.I. Rotter (Jerome); A.A. Hicks (Andrew); F.D.J. Ernst (Florian); S.S. Najjar (Samer); A.F. Wright (Alan); A. Peters (Annette); E.R. Fox (Ervin); B.A. Oostra (Ben); H.K. Kroemer (Heyo); D.J. Couper (David); H. Völzke (Henry); H. Campbell (Harry); T. Meitinger (Thomas); M. Uda (Manuela); J.C.M. Witteman (Jacqueline); B.M. Psaty (Bruce); H.E. Wichmann (Heinz Erich); T.B. Harris (Tamara); S. Kääb (Stefan); D.S. Siscovick (David); Y. Jamshidi (Yalda); A.G. Uitterlinden (André); A.R. Folsom (Aaron); M.G. Larson (Martin); J.F. Wilson (James); B.W.J.H. Penninx (Brenda); H. Snieder (Harold); P.P. Pramstaller (Peter Paul); P. Tikka-Kleemola (Päivi); E. Lakatta (Edward); S.B. Felix (Stephan); V. Gudnason (Vilmundur); A. Pfeufer (Arne); S.R. Heckbert (Susan); B.H.Ch. Stricker (Bruno); E.A. Boerwinkle (Eric); C.J. O'Donnell (Christopher)

    2010-01-01

    textabstractHigher resting heart rate is associated with increased cardiovascular disease and mortality risk. Though heritable factors play a substantial role in population variation, little is known about specific genetic determinants. This knowledge can impact clinical care by identifying novel fa

  4. A genome-wide association meta-analysis identifies new childhood obesity loci

    DEFF Research Database (Denmark)

    Bradfield, Jonathan P; Taal, H Rob; Timpson, Nicholas J

    2012-01-01

    Multiple genetic variants have been associated with adult obesity and a few with severe obesity in childhood; however, less progress has been made in establishing genetic influences on common early-onset obesity. We performed a North American, Australian and European collaborative meta-analysis o......-analysis of 14 studies consisting of 5,530 cases (≥95th percentile of body mass index (BMI)) and 8,318 controls (...

  5. A genome-wide association meta-analysis identifies new childhood obesity loci

    NARCIS (Netherlands)

    Bradfield, Jonathan P.; Taal, H. Rob; Timpson, Nicholas J.; Scherag, Andre; Lecoeur, Cecile; Warrington, Nicole M.; Hypponen, Elina; Holst, Claus; Valcarcel, Beatriz; Thiering, Elisabeth; Salem, Rany M.; Schumacher, Fredrick R.; Cousminer, Diana L.; Sleiman, Patrick M. A.; Zhao, Jianhua; Berkowitz, Robert I.; Vimaleswaran, Karani S.; Jarick, Ivonne; Pennell, Craig E.; Evans, David M.; St Pourcain, Beate; Berry, Diane J.; Mook-Kanamori, Dennis O.; Hofman, Albert; Rivadeneira, Fernando; Uitterlinden, Andre G.; van Duijn, Cornelia M.; van der Valk, Ralf J. P.; de Jongste, Johan C.; Postma, Dirkje S.; Boomsma, Dorret I.; Gauderman, W. James; Hassanein, Mohamed T.; Lindgren, Cecilia M.; Magi, Reedik; Boreham, Colin A. G.; Neville, Charlotte E.; Moreno, Luis A.; Elliott, Paul; Pouta, Anneli; Hartikainen, Anna-Liisa; Li, Mingyao; Raitakari, Olli; Lehtimaki, Terho; Eriksson, Johan G.; Palotie, Aarno; Dallongeville, Jean; Das, Shikta; Deloukas, Panos; McMahon, George; Ring, Susan M.; Kemp, John P.; Buxton, Jessica L.; Blakemore, Alexandra I. F.; Bustamante, Mariona; Guxens, Monica; Hirschhorn, Joel N.; Gillman, Matthew W.; Kreiner-Moller, Eskil; Bisgaard, Hans; Gilliland, Frank D.; Heinrich, Joachim; Wheeler, Eleanor; Barroso, Ines; O'Rahilly, Stephen; Meirhaeghe, Aline; Sorensen, Thorkild I. A.; Power, Chris; Palmer, Lyle J.; Hinney, Anke; Widen, Elisabeth; Farooqi, I. Sadaf; McCarthy, Mark I.; Froguel, Philippe; Meyre, David; Hebebrand, Johannes; Jarvelin, Marjo-Riitta; Jaddoe, Vincent W. V.; Smith, George Davey; Hakonarson, Hakon; Grant, Struan F. A.

    2012-01-01

    Multiple genetic variants have been associated with adult obesity and a few with severe obesity in childhood; however, less progress has been made in establishing genetic influences on common early-onset obesity. We performed a North American, Australian and European collaborative meta-analysis of 1

  6. A Meta-Analysis Identifies New Loci Associated with Body Mass index in Individuals of African Ancestry

    OpenAIRE

    Monda, Keri L.; Chen, Gary K; Taylor, Kira C.; Palmer, Cameron; EDWARDS, TODD L.; Lange, Leslie A.; Ng, Maggie C.Y.; Adeyemo, Adebowale A; Allison, Matthew A.; Bielak, Lawrence F.; Chen, Guanji; Graff, Mariaelisa; Irvin, Marguerite R.; Rhie, Suhn K.; Li, Guo

    2013-01-01

    Genome-wide association studies (GWAS) have identified 36 loci associated with body mass index (BMI), predominantly in populations of European ancestry. We conducted a meta-analysis to examine the association of >3.2 million SNPs with BMI in 39,144 men and women of African ancestry, and followed up the most significant associations in an additional 32,268 individuals of African ancestry. We identified one novel locus at 5q33 (GALNT10, rs7708584, p=3.4×10−11) and another at 7p15 when combined ...

  7. Meta-analysis of genome-wide association studies identifies eight new loci for type 2 diabetes in east Asians

    NARCIS (Netherlands)

    Cho, Yoon Shin; Chen, Chien-Hsiun; Hu, Cheng; Long, Jirong; Ong, Rick Twee Hee; Sim, Xueling; Takeuchi, Fumihiko; Wu, Ying; Go, Min Jin; Yamauchi, Toshimasa; Chang, Yi-Cheng; Kwak, Soo Heon; Ma, Ronald C. W.; Yamamoto, Ken; Adair, Linda S.; Aung, Tin; Cai, Qiuyin; Chang, Li-Ching; Chen, Yuan-Tsong; Gao, Yutang; Hu, Frank B.; Kim, Hyung-Lae; Kim, Sangsoo; Kim, Young Jin; Lee, Jeannette Jen-Mai; Lee, Nanette R.; Li, Yun; Liu, Jian Jun; Lu, Wei; Nakamura, Jiro; Nakashima, Eitaro; Ng, Daniel Peng-Keat; Tay, Wan Ting; Tsai, Fuu-Jen; Wong, Tien Yin; Yokota, Mitsuhiro; Zheng, Wei; Zhang, Rong; Wang, Congrong; So, Wing Yee; Ohnaka, Keizo; Ikegami, Hiroshi; Hara, Kazuo; Cho, Young Min; Cho, Nam H.; Chang, Tien-Jyun; Bao, Yuqian; Hedman, Asa K.; Morris, Andrew P.; McCarthy, Mark I.; Takayanagi, Ryoichi; Park, Kyong Soo; Jia, Weiping; Chuang, Lee-Ming; Chan, Juliana C. N.; Maeda, Shiro; Kadowaki, Takashi; Lee, Jong-Young; Wu, Jer-Yuarn; Teo, Yik Ying; Tai, E. Shyong; Shu, Xiao Ou; Mohlke, Karen L.; Kato, Norihiro; Han, Bok-Ghee; Seielstad, Mark

    2012-01-01

    We conducted a three-stage genetic study to identify susceptibility loci for type 2 diabetes (T2D) in east Asian populations. We followed our stage 1 meta-analysis of eight T2D genome-wide association studies (6,952 cases with T2D and 11,865 controls) with a stage 2 in silico replication analysis (5

  8. A meta-analysis of genome-wide association studies to identify prostate cancer susceptibility loci associated with aggressive and non-aggressive disease

    DEFF Research Database (Denmark)

    Amin Al Olama, Ali; Kote-Jarai, Zsofia; Schumacher, Fredrick R

    2013-01-01

    Genome-wide association studies (GWAS) have identified multiple common genetic variants associated with an increased risk of prostate cancer (PrCa), but these explain less than one-third of the heritability. To identify further susceptibility alleles, we conducted a meta-analysis of four GWAS inc...

  9. Genome-wide Analysis Identifies Novel Loci Associated with Ovarian Cancer Outcomes

    DEFF Research Database (Denmark)

    Johnatty, Sharon E; Tyrer, Jonathan P; Kar, Siddhartha;

    2015-01-01

    PURPOSE: Chemotherapy resistance remains a major challenge in the treatment of ovarian cancer. We hypothesize that germline polymorphisms might be associated with clinical outcome. EXPERIMENTAL DESIGN: We analyzed approximately 2.8 million genotyped and imputed SNPs from the iCOGS experiment...... for progression-free survival (PFS) and overall survival (OS) in 2,901 European epithelial ovarian cancer (EOC) patients who underwent first-line treatment of cytoreductive surgery and chemotherapy regardless of regimen, and in a subset of 1,098 patients treated with ≥ 4 cycles of paclitaxel and carboplatin...... at standard doses. We evaluated the top SNPs in 4,434 EOC patients, including patients from The Cancer Genome Atlas. In addition, we conducted pathway analysis of all intragenic SNPs and tested their association with PFS and OS using gene set enrichment analysis. RESULTS: Five SNPs were significantly...

  10. A genome-wide meta-analysis identifies novel loci associated with schizophrenia and bipolar disorder.

    Science.gov (United States)

    Wang, Ke-Sheng; Liu, Xue-Feng; Aragam, Nagesh

    2010-12-01

    Schizophrenia and bipolar disorder both have strong inherited components. Recent studies have indicated that schizophrenia and bipolar disorder may share more than half of their genetic determinants. In this study, we performed a meta-analysis (combined analysis) for genome-wide association data of the Affymetrix Genome-Wide Human SNP array 6.0 to detect genetic variants influencing both schizophrenia and bipolar disorder using European-American samples (653 bipolar cases and 1034 controls, 1172 schizophrenia cases and 1379 controls). The best associated SNP rs11789399 was located at 9q33.1 (p=2.38 × 10(-6), 5.74 × 10(-4), and 5.56 × 10(-9), for schizophrenia, bipolar disorder and meta-analysis of schizophrenia and bipolar disorder, respectively), where one flanking gene, ASTN2 (220kb away) has been associated with attention deficit/hyperactivity disorder and schizophrenia. The next best SNP was rs12201676 located at 6q15 (p=2.67 × 10(-4), 2.12 × 10(-5), 3.88 × 10(-8) for schizophrenia, bipolar disorder and meta-analysis, respectively), near two flanking genes, GABRR1 and GABRR2 (15 and 17kb away, respectively). The third interesting SNP rs802568 was at 7q35 within CNTNAP2 (p=8.92 × 10(-4), 1.38 × 10(-5), and 1.62 × 10(-7) for schizophrenia, bipolar disorder and meta-analysis, respectively). Through meta-analysis, we found two additional associated genes NALCN (the top SNP is rs2044117, p=4.57 × 10(-7)) and NAP5 (the top SNP is rs10496702, p=7.15 × 10(-7)). Haplotype analyses of above five loci further supported the associations with schizophrenia and bipolar disorder. These results provide evidence of common genetic variants influencing schizophrenia and bipolar disorder. These findings will serve as a resource for replication in other populations to elucidate the potential role of these genetic variants in schizophrenia and bipolar disorder.

  11. Qualitative Comparative Analysis: A Hybrid Method for Identifying Factors Associated with Program Effectiveness.

    Science.gov (United States)

    Cragun, Deborah; Pal, Tuya; Vadaparampil, Susan T; Baldwin, Julie; Hampel, Heather; DeBate, Rita D

    2016-07-01

    Qualitative comparative analysis (QCA) was developed over 25 years ago to bridge the qualitative and quantitative research gap. Upon searching PubMed and the Journal of Mixed Methods Research, this review identified 30 original research studies that utilized QCA. Perceptions that QCA is complex and provides few relative advantages over other methods may be limiting QCA adoption. Thus, to overcome these perceptions, this article demonstrates how to perform QCA using data from fifteen institutions that implemented universal tumor screening (UTS) programs to identify patients at high risk for hereditary colorectal cancer. In this example, QCA revealed a combination of conditions unique to effective UTS programs. Results informed additional research and provided a model for improving patient follow-through after a positive screen.

  12. Multi-SNP Analysis of GWAS Data Identifies Pathways Associated with Nonalcoholic Fatty Liver Disease

    Science.gov (United States)

    Chen, Qing-Rong; Braun, Rosemary; Hu, Ying; Yan, Chunhua; Brunt, Elizabeth M.; Meerzaman, Daoud

    2013-01-01

    Non-alcoholic fatty liver disease (NAFLD) is a common liver disease; the histological spectrum of which ranges from steatosis to steatohepatitis. Nonalcoholic steatohepatitis (NASH) often leads to cirrhosis and development of hepatocellular carcinoma. To better understand pathogenesis of NAFLD, we performed the pathway of distinction analysis (PoDA) on a genome-wide association study dataset of 250 non-Hispanic white female adult patients with NAFLD, who were enrolled in the NASH Clinical Research Network (CRN) Database Study, to investigate whether biologic process variation measured through genomic variation of genes within these pathways was related to the development of steatohepatitis or cirrhosis. Pathways such as Recycling of eIF2:GDP, biosynthesis of steroids, Terpenoid biosynthesis and Cholesterol biosynthesis were found to be significantly associated with NASH. SNP variants in Terpenoid synthesis, Cholesterol biosynthesis and biosynthesis of steroids were associated with lobular inflammation and cytologic ballooning while those in Terpenoid synthesis were also associated with fibrosis and cirrhosis. These were also related to the NAFLD activity score (NAS) which is derived from the histological severity of steatosis, inflammation and ballooning degeneration. Eukaryotic protein translation and recycling of eIF2:GDP related SNP variants were associated with ballooning, steatohepatitis and cirrhosis. Il2 signaling events mediated by PI3K, Mitotic metaphase/anaphase transition, and Prostanoid ligand receptors were also significantly associated with cirrhosis. Taken together, the results provide evidence for additional ways, beyond the effects of single SNPs, by which genetic factors might contribute to the susceptibility to develop a particular phenotype of NAFLD and then progress to cirrhosis. Further studies are warranted to explain potential important genetic roles of these biological processes in NAFLD. PMID:23894275

  13. Immunochip analysis identifies association of the RAD50/IL13 region with human longevity

    DEFF Research Database (Denmark)

    Flachsbart, Friederike; Ellinghaus, David; Gentschew, Liljana;

    2016-01-01

    Human longevity is characterized by a remarkable lack of confirmed genetic associations. Here, we report on the identification of a novel locus for longevity in the RAD50/IL13 region on chromosome 5q31.1 using a combined European sample of 3208 long-lived individuals (LLI) and 8919 younger controls....... First, we performed a large-scale association study on 1458 German LLI (mean age 99.0 years) and 6368 controls (mean age 57.2 years) by targeting known immune-associated loci covered by the Immunochip. The analysis of 142 136 autosomal single nucleotide polymorphisms (SNPs) revealed an Immunochip...... (1257 LLI, mean age 102.4 years; 1811 controls, mean age 49.1 years) and Denmark (493 LLI, mean age 96.2 years; 740 controls, mean age 63.1 years). The association at SNP rs2706372 replicated in the French study collection and showed a similar trend in the Danish participants and was also significant...

  14. Genome-wide association analysis identifies 13 new risk loci for schizophrenia.

    OpenAIRE

    Ripke, Stephan; O'Dushlaine, Colm; Chambert, Kimberly; Moran, Jennifer L.; Kähler, Anna K; Akterin, Susanne; Bergen, Sarah E; Collins, Ann L.; Crowley, James J; Fromer, Menachem; Kim, Yunjung; Bender, Stephan; Collier, David; Crespo-Facorro, Benedicto; Hall, Jeremy

    2013-01-01

    To access publisher's full text version of this article. Please click on the hyperlink in Additional Links field. Schizophrenia is an idiopathic mental disorder with a heritable component and a substantial public health impact. We conducted a multi-stage genome-wide association study (GWAS) for schizophrenia beginning with a Swedish national sample (5,001 cases and 6,243 controls) followed by meta-analysis with previous schizophrenia GWAS (8,832 cases and 12,067 controls) and finally by re...

  15. Thirty new loci for age at menarche identified by a meta-analysis of genome-wide association studies

    DEFF Research Database (Denmark)

    Elks, Cathy E; Perry, John R B; Sulem, Patrick

    2010-01-01

    To identify loci for age at menarche, we performed a meta-analysis of 32 genome-wide association studies in 87,802 women of European descent, with replication in up to 14,731 women. In addition to the known loci at LIN28B (P = 5.4 × 10⁻⁶⁰) and 9q31.2 (P = 2.2 × 10⁻³³), we identified 30 new menarche...

  16. Thirty new loci for age at menarche identified by a meta-analysis of genome-wide association studies

    NARCIS (Netherlands)

    C.E. Elks (Cathy); J.R.B. Perry (John); P. Sulem (Patrick); D.I. Chasman (Daniel); N. Franceschini (Nora); C. He (Chunyan); K.L. Lunetta (Kathryn); J.A. Visser (Jenny); E.M. Byrne (Enda); D.L. Cousminer (Diana); D.F. Gudbjartsson (Daniel); T. Esko (Tõnu); B. Feenstra (Bjarke); J.J. Hottenga (Jouke Jan); D.L. Koller (Daniel); Z. Kutalik (Zoltán); P. Lin (Peng); M. Mangino (Massimo); M. Marongiu (Mara); P.F. McArdle (Patrick); A.V. Smith (Albert Vernon); L. Stolk (Lisette); S. van Wingerden (Sophie); J.H. Zhao; E. Albrecht (Eva); T. Corre (Tanguy); E. Ingelsson (Erik); C. Hayward (Caroline); P.K. Magnusson (Patrik); S. Ulivi (Shelia); N. Warrington (Nicole); L. Zgaga (Lina); H. Alavere (Helene); N. Amin (Najaf); T. Aspelund (Thor); S. Bandinelli (Stefania); I. Barroso (Inês); G. Berenson (Gerald); S.M. Bergmann (Sven); H. Blackburn (Hannah); E.A. Boerwinkle (Eric); J.E. Buring (Julie); F. Busonero; H. Campbell (Harry); S.J. Chanock (Stephen); W. Chen (Wei); M. Cornelis (Marilyn); D.J. Couper (David); A.D. Coviello (Andrea); P. d' Adamo (Pio); U. de Faire (Ulf); E.J.C. de Geus (Eco); P. Deloukas (Panagiotis); A. Döring (Angela); D.F. Easton (Douglas); G. Eiriksdottir (Gudny); V. Emilsson (Valur); J.G. Eriksson (Johan); L. Ferrucci (Luigi); A.R. Folsom (Aaron); T. Foroud (Tatiana); M. Garcia (Melissa); P. Gasparini (Paolo); F. Geller (Frank); C. Gieger (Christian); V. Gudnason (Vilmundur); A.S. Hall (Alistair); S.E. Hankinson (Susan); L. Ferreli (Liana); A.C. Heath (Andrew); D.G. Hernandez (Dena); A. Hofman (Albert); F.B. Hu (Frank); T. Illig (Thomas); M.R. Järvelin; A.D. Johnson (Andrew); D. Karasik (David); K-T. Khaw (Kay-Tee); D.P. Kiel (Douglas); T.O. Kilpelänen (Tuomas); I. Kolcic (Ivana); P. Kraft (Peter); L.J. Launer (Lenore); J.S.E. Laven (Joop); S. Li (Shengxu); J. Liu (Jianjun); D. Levy (Daniel); N.G. Martin (Nicholas); M. Melbye (Mads); V. Mooser (Vincent); J.C. Murray (Jeffrey); M.A. Nalls (Michael); P. Navarro (Pau); M. Nelis (Mari); A.R. Ness (Andrew); K. Northstone (Kate); B.A. Oostra (Ben); M. Peacock (Munro); C. Palmer (Cameron); A. Palotie (Aarno); G. Paré (Guillaume); A.N. Parker (Alex); N.L. Pedersen (Nancy); L. Peltonen (Leena Johanna); C.E. Pennell (Craig); P.D.P. Pharoah (Paul); O. Polasek (Ozren); A.S. Plump (Andrew); A. Pouta (Anneli); E. Porcu (Eleonora); T. Rafnar (Thorunn); J.P. Rice (John); S.M. Ring (Susan); F. Rivadeneira Ramirez (Fernando); I. Rudan (Igor); C. Sala (Cinzia); V. Salomaa (Veikko); S. Sanna (Serena); D. Schlessinger; N.J. Schork (Nicholas); A. Scuteri (Angelo); A.V. Segrè (Ayellet); A.R. Shuldiner (Alan); N. Soranzo (Nicole); U. Sovio (Ulla); S.R. Srinivasan (Sathanur); D.P. Strachan (David); M.L. Tammesoo; E. Tikkanen (Emmi); D. Toniolo (Daniela); K. Tsui (Kim); L. Tryggvadottir (Laufey); J.P. Tyrer (Jonathan); M. Uda (Manuela); R.M. van Dam (Rob); J.B.J. van Meurs (Joyce); P. Vollenweider (Peter); G. Waeber (Gérard); N.J. Wareham (Nick); D. Waterworth (Dawn); H.E. Wichmann (Heinz Erich); G.A.H.M. Willemsen (Gonneke); J.F. Wilson (James); A.F. Wright (Alan); L. Young (Lauren); G. Zhai (Guangju); W.V. Zhuang; L.J. Bierut (Laura); D.I. Boomsma (Dorret); H.A. Boyd (Heather); L. Crisponi (Laura); E.W. Demerath (Ellen); P. Tikka-Kleemola (Päivi); M.J. Econs (Michael); T.B. Harris (Tamara); D. Hunter (David); R.J.F. Loos (Ruth); A. Metspalu (Andres); G.W. Montgomery (Grant); P.M. Ridker (Paul); T.D. Spector (Tim); E.A. Streeten (Elizabeth); K. Stefansson (Kari); U. Thorsteinsdottir (Unnur); A.G. Uitterlinden (André); E. Widen (Elisabeth); J. Murabito (Joanne); K. Ong (Ken); M.N. Weedon (Michael)

    2010-01-01

    textabstractTo identify loci for age at menarche, we performed a meta-analysis of 32 genome-wide association studies in 87,802 women of European descent, with replication in up to 14,731 women. In addition to the known loci at LIN28B (P = 5.4 × 10 -60) and 9q31.2 (P = 2.2 × 10 -33), we identified 30

  17. Five endometrial cancer risk loci identified through genome-wide association analysis

    Science.gov (United States)

    O’Mara, Tracy A; Painter, Jodie N; Glubb, Dylan M; Flach, Susanne; Lewis, Annabelle; French, Juliet D; Freeman-Mills, Luke; Church, David; Gorman, Maggie; Martin, Lynn; Hodgson, Shirley; Webb, Penelope M; Attia, John; Holliday, Elizabeth G; McEvoy, Mark; Scott, Rodney J; Henders, Anjali K; Martin, Nicholas G; Montgomery, Grant W; Nyholt, Dale R; Ahmed, Shahana; Healey, Catherine S; Shah, Mitul; Dennis, Joe; Fasching, Peter A; Beckmann, Matthias W; Hein, Alexander; Ekici, Arif B; Hall, Per; Czene, Kamila; Darabi, Hatef; Li, Jingmei; Dörk, Thilo; Dürst, Matthias; Hillemanns, Peter; Runnebaum, Ingo; Amant, Frederic; Schrauwen, Stefanie; Zhao, Hui; Lambrechts, Diether; Depreeuw, Jeroen; Dowdy, Sean C; Goode, Ellen L; Fridley, Brooke L; Winham, Stacey J; Njølstad, Tormund S; Salvesen, Helga B; Trovik, Jone; Werner, Henrica MJ; Ashton, Katie; Otton, Geoffrey; Proietto, Tony; Liu, Tao; Mints, Miriam; Tham, Emma; Consortium, CHIBCHA; Jun Li, Mulin; Yip, Shun H; Wang, Junwen; Bolla, Manjeet K; Michailidou, Kyriaki; Wang, Qin; Tyrer, Jonathan P; Dunlop, Malcolm; Houlston, Richard; Palles, Claire; Hopper, John L; Peto, Julian; Swerdlow, Anthony J; Burwinkel, Barbara; Brenner, Hermann; Meindl, Alfons; Brauch, Hiltrud; Lindblom, Annika; Chang-Claude, Jenny; Couch, Fergus J; Giles, Graham G; Kristensen, Vessela N; Cox, Angela; Cunningham, Julie M; Pharoah, Paul D P; Dunning, Alison M; Edwards, Stacey L; Easton, Douglas F; Tomlinson, Ian; Spurdle, Amanda B

    2016-01-01

    We conducted a meta-analysis of three endometrial cancer GWAS and two replication phases totaling 7,737 endometrial cancer cases and 37,144 controls of European ancestry. Genome-wide imputation and meta-analysis identified five novel risk loci of genome-wide significance at likely regulatory regions on chromosomes 13q22.1 (rs11841589, near KLF5), 6q22.31 (rs13328298, in LOC643623 and near HEY2 and NCOA7), 8q24.21 (rs4733613, telomeric to MYC), 15q15.1 (rs937213, in EIF2AK4, near BMF) and 14q32.33 (rs2498796, in AKT1 near SIVA1). A second independent 8q24.21 signal (rs17232730) was found. Functional studies of the 13q22.1 locus showed that rs9600103 (pairwise r2=0.98 with rs11841589) is located in a region of active chromatin that interacts with the KLF5 promoter region. The rs9600103-T endometrial cancer protective allele suppressed gene expression in vitro suggesting that regulation of KLF5 expression, a gene linked to uterine development, is implicated in tumorigenesis. These findings provide enhanced insight into the genetic and biological basis of endometrial cancer. PMID:27135401

  18. Association analysis identifies Melampsora ×columbiana poplar leaf rust resistance SNPs.

    Directory of Open Access Journals (Sweden)

    Jonathan La Mantia

    Full Text Available Populus species are currently being domesticated through intensive time- and resource-dependent programs for utilization in phytoremediation, wood and paper products, and conversion to biofuels. Poplar leaf rust disease can greatly reduce wood volume. Genetic resistance is effective in reducing economic losses but major resistance loci have been race-specific and can be readily defeated by the pathogen. Developing durable disease resistance requires the identification of non-race-specific loci. In the presented study, area under the disease progress curve was calculated from natural infection of Melampsora ×columbiana in three consecutive years. Association analysis was performed using 412 P. trichocarpa clones genotyped with 29,355 SNPs covering 3,543 genes. We found 40 SNPs within 26 unique genes significantly associated (permutated P<0.05 with poplar rust severity. Moreover, two SNPs were repeated in all three years suggesting non-race-specificity and three additional SNPs were differentially expressed in other poplar rust interactions. These five SNPs were found in genes that have orthologs in Arabidopsis with functionality in pathogen induced transcriptome reprogramming, Ca²⁺/calmodulin and salicylic acid signaling, and tolerance to reactive oxygen species. The additive effect of non-R gene functional variants may constitute high levels of durable poplar leaf rust resistance. Therefore, these findings are of significance for speeding the genetic improvement of this long-lived, economically important organism.

  19. Kinematic analysis quantifies gait abnormalities associated with lameness in broiler chickens and identifies evolutionary gait differences.

    Directory of Open Access Journals (Sweden)

    Gina Caplen

    Full Text Available This is the first time that gait characteristics of broiler (meat chickens have been compared with their progenitor, jungle fowl, and the first kinematic study to report a link between broiler gait parameters and defined lameness scores. A commercial motion-capturing system recorded three-dimensional temporospatial information during walking. The hypothesis was that the gait characteristics of non-lame broilers (n = 10 would be intermediate to those of lame broilers (n = 12 and jungle fowl (n = 10, tested at two ages: immature and adult. Data analysed using multi-level models, to define an extensive range of baseline gait parameters, revealed inter-group similarities and differences. Natural selection is likely to have made jungle fowl walking gait highly efficient. Modern broiler chickens possess an unbalanced body conformation due to intense genetic selection for additional breast muscle (pectoral hypertrophy and whole body mass. Together with rapid growth, this promotes compensatory gait adaptations to minimise energy expenditure and triggers high lameness prevalence within commercial flocks; lameness creating further disruption to the gait cycle and being an important welfare issue. Clear differences were observed between the two lines (short stance phase, little double-support, low leg lift, and little back displacement in adult jungle fowl; much double-support, high leg lift, and substantial vertical back movement in sound broilers presumably related to mass and body conformation. Similarities included stride length and duration. Additional modifications were also identified in lame broilers (short stride length and duration, substantial lateral back movement, reduced velocity presumably linked to musculo-skeletal abnormalities. Reduced walking velocity suggests an attempt to minimise skeletal stress and/or discomfort, while a shorter stride length and time, together with longer stance and double-support phases, are associated

  20. Kinematic analysis quantifies gait abnormalities associated with lameness in broiler chickens and identifies evolutionary gait differences.

    Science.gov (United States)

    Caplen, Gina; Hothersall, Becky; Murrell, Joanna C; Nicol, Christine J; Waterman-Pearson, Avril E; Weeks, Claire A; Colborne, G Robert

    2012-01-01

    This is the first time that gait characteristics of broiler (meat) chickens have been compared with their progenitor, jungle fowl, and the first kinematic study to report a link between broiler gait parameters and defined lameness scores. A commercial motion-capturing system recorded three-dimensional temporospatial information during walking. The hypothesis was that the gait characteristics of non-lame broilers (n = 10) would be intermediate to those of lame broilers (n = 12) and jungle fowl (n = 10, tested at two ages: immature and adult). Data analysed using multi-level models, to define an extensive range of baseline gait parameters, revealed inter-group similarities and differences. Natural selection is likely to have made jungle fowl walking gait highly efficient. Modern broiler chickens possess an unbalanced body conformation due to intense genetic selection for additional breast muscle (pectoral hypertrophy) and whole body mass. Together with rapid growth, this promotes compensatory gait adaptations to minimise energy expenditure and triggers high lameness prevalence within commercial flocks; lameness creating further disruption to the gait cycle and being an important welfare issue. Clear differences were observed between the two lines (short stance phase, little double-support, low leg lift, and little back displacement in adult jungle fowl; much double-support, high leg lift, and substantial vertical back movement in sound broilers) presumably related to mass and body conformation. Similarities included stride length and duration. Additional modifications were also identified in lame broilers (short stride length and duration, substantial lateral back movement, reduced velocity) presumably linked to musculo-skeletal abnormalities. Reduced walking velocity suggests an attempt to minimise skeletal stress and/or discomfort, while a shorter stride length and time, together with longer stance and double-support phases, are associated with

  1. Genome-wide association analysis of more than 120,000 individuals identifies 15 new susceptibility loci for breast cancer.

    Science.gov (United States)

    Michailidou, Kyriaki; Beesley, Jonathan; Lindstrom, Sara; Canisius, Sander; Dennis, Joe; Lush, Michael J; Maranian, Mel J; Bolla, Manjeet K; Wang, Qin; Shah, Mitul; Perkins, Barbara J; Czene, Kamila; Eriksson, Mikael; Darabi, Hatef; Brand, Judith S; Bojesen, Stig E; Nordestgaard, Børge G; Flyger, Henrik; Nielsen, Sune F; Rahman, Nazneen; Turnbull, Clare; Fletcher, Olivia; Peto, Julian; Gibson, Lorna; dos-Santos-Silva, Isabel; Chang-Claude, Jenny; Flesch-Janys, Dieter; Rudolph, Anja; Eilber, Ursula; Behrens, Sabine; Nevanlinna, Heli; Muranen, Taru A; Aittomäki, Kristiina; Blomqvist, Carl; Khan, Sofia; Aaltonen, Kirsimari; Ahsan, Habibul; Kibriya, Muhammad G; Whittemore, Alice S; John, Esther M; Malone, Kathleen E; Gammon, Marilie D; Santella, Regina M; Ursin, Giske; Makalic, Enes; Schmidt, Daniel F; Casey, Graham; Hunter, David J; Gapstur, Susan M; Gaudet, Mia M; Diver, W Ryan; Haiman, Christopher A; Schumacher, Fredrick; Henderson, Brian E; Le Marchand, Loic; Berg, Christine D; Chanock, Stephen J; Figueroa, Jonine; Hoover, Robert N; Lambrechts, Diether; Neven, Patrick; Wildiers, Hans; van Limbergen, Erik; Schmidt, Marjanka K; Broeks, Annegien; Verhoef, Senno; Cornelissen, Sten; Couch, Fergus J; Olson, Janet E; Hallberg, Emily; Vachon, Celine; Waisfisz, Quinten; Meijers-Heijboer, Hanne; Adank, Muriel A; van der Luijt, Rob B; Li, Jingmei; Liu, Jianjun; Humphreys, Keith; Kang, Daehee; Choi, Ji-Yeob; Park, Sue K; Yoo, Keun-Young; Matsuo, Keitaro; Ito, Hidemi; Iwata, Hiroji; Tajima, Kazuo; Guénel, Pascal; Truong, Thérèse; Mulot, Claire; Sanchez, Marie; Burwinkel, Barbara; Marme, Frederik; Surowy, Harald; Sohn, Christof; Wu, Anna H; Tseng, Chiu-chen; Van Den Berg, David; Stram, Daniel O; González-Neira, Anna; Benitez, Javier; Zamora, M Pilar; Perez, Jose Ignacio Arias; Shu, Xiao-Ou; Lu, Wei; Gao, Yu-Tang; Cai, Hui; Cox, Angela; Cross, Simon S; Reed, Malcolm W R; Andrulis, Irene L; Knight, Julia A; Glendon, Gord; Mulligan, Anna Marie; Sawyer, Elinor J; Tomlinson, Ian; Kerin, Michael J; Miller, Nicola; Lindblom, Annika; Margolin, Sara; Teo, Soo Hwang; Yip, Cheng Har; Taib, Nur Aishah Mohd; Tan, Gie-Hooi; Hooning, Maartje J; Hollestelle, Antoinette; Martens, John W M; Collée, J Margriet; Blot, William; Signorello, Lisa B; Cai, Qiuyin; Hopper, John L; Southey, Melissa C; Tsimiklis, Helen; Apicella, Carmel; Shen, Chen-Yang; Hsiung, Chia-Ni; Wu, Pei-Ei; Hou, Ming-Feng; Kristensen, Vessela N; Nord, Silje; Alnaes, Grethe I Grenaker; Giles, Graham G; Milne, Roger L; McLean, Catriona; Canzian, Federico; Trichopoulos, Dimitrios; Peeters, Petra; Lund, Eiliv; Sund, Malin; Khaw, Kay-Tee; Gunter, Marc J; Palli, Domenico; Mortensen, Lotte Maxild; Dossus, Laure; Huerta, Jose-Maria; Meindl, Alfons; Schmutzler, Rita K; Sutter, Christian; Yang, Rongxi; Muir, Kenneth; Lophatananon, Artitaya; Stewart-Brown, Sarah; Siriwanarangsan, Pornthep; Hartman, Mikael; Miao, Hui; Chia, Kee Seng; Chan, Ching Wan; Fasching, Peter A; Hein, Alexander; Beckmann, Matthias W; Haeberle, Lothar; Brenner, Hermann; Dieffenbach, Aida Karina; Arndt, Volker; Stegmaier, Christa; Ashworth, Alan; Orr, Nick; Schoemaker, Minouk J; Swerdlow, Anthony J; Brinton, Louise; Garcia-Closas, Montserrat; Zheng, Wei; Halverson, Sandra L; Shrubsole, Martha; Long, Jirong; Goldberg, Mark S; Labrèche, France; Dumont, Martine; Winqvist, Robert; Pylkäs, Katri; Jukkola-Vuorinen, Arja; Grip, Mervi; Brauch, Hiltrud; Hamann, Ute; Brüning, Thomas; Radice, Paolo; Peterlongo, Paolo; Manoukian, Siranoush; Bernard, Loris; Bogdanova, Natalia V; Dörk, Thilo; Mannermaa, Arto; Kataja, Vesa; Kosma, Veli-Matti; Hartikainen, Jaana M; Devilee, Peter; Tollenaar, Robert A E M; Seynaeve, Caroline; Van Asperen, Christi J; Jakubowska, Anna; Lubinski, Jan; Jaworska, Katarzyna; Huzarski, Tomasz; Sangrajrang, Suleeporn; Gaborieau, Valerie; Brennan, Paul; McKay, James; Slager, Susan; Toland, Amanda E; Ambrosone, Christine B; Yannoukakos, Drakoulis; Kabisch, Maria; Torres, Diana; Neuhausen, Susan L; Anton-Culver, Hoda; Luccarini, Craig; Baynes, Caroline; Ahmed, Shahana; Healey, Catherine S; Tessier, Daniel C; Vincent, Daniel; Bacot, Francois; Pita, Guillermo; Alonso, M Rosario; Álvarez, Nuria; Herrero, Daniel; Simard, Jacques; Pharoah, Paul P D P; Kraft, Peter; Dunning, Alison M; Chenevix-Trench, Georgia; Hall, Per; Easton, Douglas F

    2015-04-01

    Genome-wide association studies (GWAS) and large-scale replication studies have identified common variants in 79 loci associated with breast cancer, explaining ∼14% of the familial risk of the disease. To identify new susceptibility loci, we performed a meta-analysis of 11 GWAS, comprising 15,748 breast cancer cases and 18,084 controls together with 46,785 cases and 42,892 controls from 41 studies genotyped on a 211,155-marker custom array (iCOGS). Analyses were restricted to women of European ancestry. We generated genotypes for more than 11 million SNPs by imputation using the 1000 Genomes Project reference panel, and we identified 15 new loci associated with breast cancer at P < 5 × 10(-8). Combining association analysis with ChIP-seq chromatin binding data in mammary cell lines and ChIA-PET chromatin interaction data from ENCODE, we identified likely target genes in two regions: SETBP1 at 18q12.3 and RNF115 and PDZK1 at 1q21.1. One association appears to be driven by an amino acid substitution encoded in EXO1.

  2. Genome-wide association analysis of more than 120,000 individuals identifies 15 new susceptibility loci for breast cancer

    Science.gov (United States)

    Michailidou, Kyriaki; Beesley, Jonathan; Lindstrom, Sara; Canisius, Sander; Dennis, Joe; Lush, Michael; Maranian, Mel J; Bolla, Manjeet K; Wang, Qin; Shah, Mitul; Perkins, Barbara J; Czene, Kamila; Eriksson, Mikael; Darabi, Hatef; Brand, Judith S; Bojesen, Stig E; Nordestgaard, Børge G; Flyger, Henrik; Nielsen, Sune F; Rahman, Nazneen; Turnbull, Clare; Fletcher, Olivia; Peto, Julian; Gibson, Lorna; dos-Santos-Silva, Isabel; Chang-Claude, Jenny; Flesch-Janys, Dieter; Rudolph, Anja; Eilber, Ursula; Behrens, Sabine; Nevanlinna, Heli; Muranen, Taru A; Aittomäki, Kristiina; Blomqvist, Carl; Khan, Sofia; Aaltonen, Kirsimari; Ahsan, Habibul; Kibriya, Muhammad G; Whittemore, Alice S; John, Esther M; Malone, Kathleen E; Gammon, Marilie D; Santella, Regina M; Ursin, Giske; Makalic, Enes; Schmidt, Daniel F; Casey, Graham; Hunter, David J; Gapstur, Susan M; Gaudet, Mia M; Diver, W Ryan; Haiman, Christopher A; Schumacher, Fredrick; Henderson, Brian E; Le Marchand, Loic; Berg, Christine D; Chanock, Stephen; Figueroa, Jonine; Hoover, Robert N; Lambrechts, Diether; Neven, Patrick; Wildiers, Hans; van Limbergen, Erik; Schmidt, Marjanka K; Broeks, Annegien; Verhoef, Senno; Cornelissen, Sten; Couch, Fergus J; Olson, Janet E; Hallberg, Emily; Vachon, Celine; Waisfisz, Quinten; Meijers-Heijboer, Hanne; Adank, Muriel A; van der Luijt, Rob B; Li, Jingmei; Liu, Jianjun; Humphreys, Keith; Kang, Daehee; Choi, Ji-Yeob; Park, Sue K; Yoo, Keun-Young; Matsuo, Keitaro; Ito, Hidemi; Iwata, Hiroji; Tajima, Kazuo; Guénel, Pascal; Truong, Thérèse; Mulot, Claire; Sanchez, Marie; Burwinkel, Barbara; Marme, Frederik; Surowy, Harald; Sohn, Christof; Wu, Anna H; Tseng, Chiu-chen; Van Den Berg, David; Stram, Daniel O; González-Neira, Anna; Benitez, Javier; Zamora, M Pilar; Perez, Jose Ignacio Arias; Shu, Xiao-Ou; Lu, Wei; Gao, Yu-Tang; Cai, Hui; Cox, Angela; Cross, Simon S; Reed, Malcolm WR; Andrulis, Irene L; Knight, Julia A; Glendon, Gord; Mulligan, Anna Marie; Sawyer, Elinor J; Tomlinson, Ian; Kerin, Michael J; Miller, Nicola; Lindblom, Annika; Margolin, Sara; Teo, Soo Hwang; Yip, Cheng Har; Taib, Nur Aishah Mohd; TAN, Gie-Hooi; Hooning, Maartje J; Hollestelle, Antoinette; Martens, John WM; Collée, J Margriet; Blot, William; Signorello, Lisa B; Cai, Qiuyin; Hopper, John L; Southey, Melissa C; Tsimiklis, Helen; Apicella, Carmel; Shen, Chen-Yang; Hsiung, Chia-Ni; Wu, Pei-Ei; Hou, Ming-Feng; Kristensen, Vessela N; Nord, Silje; Alnaes, Grethe I Grenaker; Giles, Graham G; Milne, Roger L; McLean, Catriona; Canzian, Federico; Trichopoulos, Dmitrios; Peeters, Petra; Lund, Eiliv; Sund, Malin; Khaw, Kay-Tee; Gunter, Marc J; Palli, Domenico; Mortensen, Lotte Maxild; Dossus, Laure; Huerta, Jose-Maria; Meindl, Alfons; Schmutzler, Rita K; Sutter, Christian; Yang, Rongxi; Muir, Kenneth; Lophatananon, Artitaya; Stewart-Brown, Sarah; Siriwanarangsan, Pornthep; Hartman, Mikael; Miao, Hui; Chia, Kee Seng; Chan, Ching Wan; Fasching, Peter A; Hein, Alexander; Beckmann, Matthias W; Haeberle, Lothar; Brenner, Hermann; Dieffenbach, Aida Karina; Arndt, Volker; Stegmaier, Christa; Ashworth, Alan; Orr, Nick; Schoemaker, Minouk J; Swerdlow, Anthony J; Brinton, Louise; Garcia-Closas, Montserrat; Zheng, Wei; Halverson, Sandra L; Shrubsole, Martha; Long, Jirong; Goldberg, Mark S; Labrèche, France; Dumont, Martine; Winqvist, Robert; Pylkäs, Katri; Jukkola-Vuorinen, Arja; Grip, Mervi; Brauch, Hiltrud; Hamann, Ute; Brüning, Thomas; Radice, Paolo; Peterlongo, Paolo; Manoukian, Siranoush; Bernard, Loris; Bogdanova, Natalia V; Dörk, Thilo; Mannermaa, Arto; Kataja, Vesa; Kosma, Veli-Matti; Hartikainen, Jaana M; Devilee, Peter; Tollenaar, Robert AEM; Seynaeve, Caroline; Van Asperen, Christi J; Jakubowska, Anna; Lubinski, Jan; Jaworska, Katarzyna; Huzarski, Tomasz; Sangrajrang, Suleeporn; Gaborieau, Valerie; Brennan, Paul; McKay, James; Slager, Susan; Toland, Amanda E; Ambrosone, Christine B; Yannoukakos, Drakoulis; Kabisch, Maria; Torres, Diana; Neuhausen, Susan L; Anton-Culver, Hoda; Luccarini, Craig; Baynes, Caroline; Ahmed, Shahana; Healey, Catherine S; Tessier, Daniel C; Vincent, Daniel; Bacot, Francois; Pita, Guillermo; Alonso, M Rosario; Álvarez, Nuria; Herrero, Daniel; Simard, Jacques; Pharoah, Paul PDP; Kraft, Peter; Dunning, Alison M; Chenevix-Trench, Georgia; Hall, Per; Easton, Douglas F

    2015-01-01

    Genome wide association studies (GWAS) and large scale replication studies have identified common variants in 79 loci associated with breast cancer, explaining ~14% of the familial risk of the disease. To identify new susceptibility loci, we performed a meta-analysis of 11 GWAS comprising of 15,748 breast cancer cases and 18,084 controls, and 46,785 cases and 42,892 controls from 41 studies genotyped on a 200K custom array (iCOGS). Analyses were restricted to women of European ancestry. Genotypes for more than 11M SNPs were generated by imputation using the 1000 Genomes Project reference panel. We identified 15 novel loci associated with breast cancer at P<5×10−8. Combining association analysis with ChIP-Seq data in mammary cell lines and ChIA-PET chromatin interaction data in ENCODE, we identified likely target genes in two regions: SETBP1 on 18q12.3 and RNF115 and PDZK1 on 1q21.1. One association appears to be driven by an amino-acid substitution in EXO1. PMID:25751625

  3. Association Between Chromosome 9p21 Variants and the Ankle-Brachial Index Identified by a Meta-Analysis of 21 Genome-Wide Association Studies

    NARCIS (Netherlands)

    Murabito, Joanne M.; White, Charles C.; Kavousi, Maryam; Sun, Yan V.; Feitosa, Mary F.; Nambi, Vijay; Lamina, Claudia; Schillert, Arne; Coassin, Stefan; Bis, Joshua C.; Broer, Linda; Crawford, Dana C.; Franceschini, Nora; Frikke-Schmidt, Ruth; Haun, Margot; Holewijn, Suzanne; Huffman, Jennifer E.; Hwang, Shih-Jen; Kiechl, Stefan; Kollerits, Barbara; Montasser, May E.; Nolte, Ilja M.; Rudock, Megan E.; Senft, Andrea; Teumer, Alexander; van der Harst, Pim; Vitart, Veronique; Waite, Lindsay L.; Wood, Andrew R.; Wassel, Christina L.; Absher, Devin M.; Allison, Matthew A.; Amin, Najaf; Arnold, Alice; Asselbergs, Folkert W.; Aulchenko, Yurii; Bandinelli, Stefania; Barbalic, Maja; Boban, Mladen; Brown-Gentry, Kristin; Couper, David J.; Criqui, Michael H.; Dehghan, Abbas; den Heijer, Martin; Dieplinger, Benjamin; Ding, Jingzhong; Doerr, Marcus; Espinola-Klein, Christine; Felix, Stephan B.; Ferrucci, Luigi; Folsom, Aaron R.; Fraedrich, Gustav; Gibson, Quince; Goodloe, Robert; Gunjaca, Grgo; Haltmayer, Meinhard; Heiss, Gerardo; Hofman, Albert; Kieback, Arne; Kiemeney, Lambertus A.; Kolcic, Ivana; Kullo, Iftikhar J.; Kritchevsky, Stephen B.; Lackner, Karl J.; Li, Xiaohui; Lieb, Wolfgang; Lohman, Kurt; Meisinger, Christa; Melzer, David; Mohler, Emile R.; Mudnic, Ivana; Mueller, Thomas; Navis, Gerjan; Oberhollenzer, Friedrich; Olin, Jeffrey W.; O'Connell, Jeff; O'Donnell, Christopher J.; Palmas, Walter; Penninx, Brenda W.; Petersmann, Astrid; Polasek, Ozren; Psaty, Bruce M.; Rantner, Barbara; Rice, Ken; Rivadeneira, Fernando; Rotter, Jerome I.; Seldenrijk, Adrie; Stadler, Marietta; Summerer, Monika; Tanaka, Toshiko; Tybjaerg-Hansen, Anne; Uitterlinden, Andre G.; van Gilst, Wiek H.; Vermeulen, Sita H.; Wild, Sarah H.; Wild, Philipp S.; Willeit, Johann; Zeller, Tanja; Zemunik, Tatijana; Zgaga, Lina; Assimes, Themistocles L.; Blankenberg, Stefan; Campbell, Harry; Boerwinkle, Eric; Cooke, John P.; de Graaf, Jacqueline; Herrington, David; Kardia, Sharon L. R.; Mitchell, Braxton D.; Murray, Anna; Muenzel, Thomas; Newman, Anne B.; Oostra, Ben A.; Rudan, Igor; Shuldiner, Alan R.; Snieder, Harold; van Duijn, Cornelia M.; Voelker, Uwe; Wright, Alan F.; Wichmann, H. -Erich; Wilson, James F.; Witteman, Jacqueline C. M.; Liu, Yongmei; Hayward, Caroline; Borecki, Ingrid B.; Ziegler, Andreas; North, Kari E.; Cupples, L. Adrienne; Kronenberg, Florian; Dorr, M.; Munzel, T.; Volker, U.

    2012-01-01

    Background-Genetic determinants of peripheral arterial disease (PAD) remain largely unknown. To identify genetic variants associated with the ankle-brachial index (ABI), a noninvasive measure of PAD, we conducted a meta-analysis of genome-wide association study data from 21 population-based cohorts.

  4. Association Between Chromosome 9p21 Variants and the Ankle-Brachial Index Identified by a Meta-Analysis of 21 Genome-Wide Association Studies

    DEFF Research Database (Denmark)

    Murabito, Joanne M; White, Charles C; Kavousi, Maryam

    2012-01-01

    BACKGROUND: -Genetic determinants of peripheral arterial disease (PAD) remain largely unknown. To identify genetic variants associated with the ankle-brachial index (ABI), a noninvasive measure of PAD, we conducted a meta-analysis of genome-wide association study data from 21 population-based coh...

  5. Transcriptome Analysis of Syringa oblata Lindl. Inflorescence Identifies Genes Associated with Pigment Biosynthesis and Scent Metabolism.

    Directory of Open Access Journals (Sweden)

    Jian Zheng

    Full Text Available Syringa oblata Lindl. is a woody ornamental plant with high economic value and characteristics that include early flowering, multiple flower colors, and strong fragrance. Despite a long history of cultivation, the genetics and molecular biology of S. oblata are poorly understood. Transcriptome and expression profiling data are needed to identify genes and to better understand the biological mechanisms of floral pigments and scents in this species. Nine cDNA libraries were obtained from three replicates of three developmental stages: inflorescence with enlarged flower buds not protruded, inflorescence with corolla lobes not displayed, and inflorescence with flowers fully opened and emitting strong fragrance. Using the Illumina RNA-Seq technique, 319,425,972 clean reads were obtained and were assembled into 104,691 final unigenes (average length of 853 bp, 41.75% of which were annotated in the NCBI non-redundant protein database. Among the annotated unigenes, 36,967 were assigned to gene ontology categories and 19,956 were assigned to eukaryoticorthologous groups. Using the Kyoto Encyclopedia of Genes and Genomes pathway database, 12,388 unigenes were sorted into 286 pathways. Based on these transcriptomic data, we obtained a large number of candidate genes that were differentially expressed at different flower stages and that were related to floral pigment biosynthesis and fragrance metabolism. This comprehensive transcriptomic analysis provides fundamental information on the genes and pathways involved in flower secondary metabolism and development in S. oblata, providing a useful database for further research on S. oblata and other plants of genus Syringa.

  6. Pathway analysis of bladder cancer genome-wide association study identifies novel pathways involved in bladder cancer development

    Science.gov (United States)

    Chen, Meng; Rothman, Nathaniel; Ye, Yuanqing; Gu, Jian; Scheet, Paul A.; Huang, Maosheng; Chang, David W.; Dinney, Colin P.; Silverman, Debra T.; Figueroa, Jonine D.; Chanock, Stephen J.; Wu, Xifeng

    2016-01-01

    Genome-wide association studies (GWAS) are designed to identify individual regions associated with cancer risk, but only explain a small fraction of the inherited variability. Alternative approach analyzing genetic variants within biological pathways has been proposed to discover networks of susceptibility genes with additional effects. The gene set enrichment analysis (GSEA) may complement and expand traditional GWAS analysis to identify novel genes and pathways associated with bladder cancer risk. We selected three GSEA methods: Gen-Gen, Aligator, and the SNP Ratio Test to evaluate cellular signaling pathways involved in bladder cancer susceptibility in a Texas GWAS population. The candidate genetic polymorphisms from the significant pathway selected by GSEA were validated in an independent NCI GWAS. We identified 18 novel pathways (P < 0.05) significantly associated with bladder cancer risk. Five of the most promising pathways (P ≤ 0.001 in any of the three GSEA methods) among the 18 pathways included two cell cycle pathways and neural cell adhesion molecule (NCAM), platelet-derived growth factor (PDGF), and unfolded protein response pathways. We validated the candidate polymorphisms in the NCI GWAS and found variants of RAPGEF1, SKP1, HERPUD1, CACNB2, CACNA1C, CACNA1S, COL4A2, SRC, and CACNA1C were associated with bladder cancer risk. Two CCNE1 variants, rs8102137 and rs997669, from cell cycle pathways showed the strongest associations; the CCNE1 signal at 19q12 has already been reported in previous GWAS. These findings offer additional etiologic insights highlighting the specific genes and pathways associated with bladder cancer development. GSEA may be a complementary tool to GWAS to identify additional loci of cancer susceptibility.

  7. A genome-wide association analysis identified a novel susceptible locus for pathological myopia at 11q24.1.

    Directory of Open Access Journals (Sweden)

    Hideo Nakanishi

    2009-09-01

    Full Text Available Myopia is one of the most common ocular disorders worldwide. Pathological myopia, also called high myopia, comprises 1% to 5% of the general population and is one of the leading causes of legal blindness in developed countries. To identify genetic determinants associated with pathological myopia in Japanese, we conducted a genome-wide association study, analyzing 411,777 SNPs with 830 cases and 1,911 general population controls in a two-stage design (297 cases and 934 controls in the first stage and 533 cases and 977 controls in the second stage. We selected 22 SNPs that showed P-values smaller than 10(-4 in the first stage and tested them for association in the second stage. The meta-analysis combining the first and second stages identified an SNP, rs577948, at chromosome 11q24.1, which was associated with the disease (P = 2.22x10(-7 and OR of 1.37 with 95% confidence interval: 1.21-1.54. Two genes, BLID and LOC399959, were identified within a 200-kb DNA encompassing rs577948. RT-PCR analysis demonstrated that both genes were expressed in human retinal tissue. Our results strongly suggest that the region at 11q24.1 is a novel susceptibility locus for pathological myopia in Japanese.

  8. Pathway-based analysis of GWAs data identifies association of sex determination genes with susceptibility to testicular germ cell tumors.

    Science.gov (United States)

    Koster, Roelof; Mitra, Nandita; D'Andrea, Kurt; Vardhanabhuti, Saran; Chung, Charles C; Wang, Zhaoming; Loren Erickson, R; Vaughn, David J; Litchfield, Kevin; Rahman, Nazneen; Greene, Mark H; McGlynn, Katherine A; Turnbull, Clare; Chanock, Stephen J; Nathanson, Katherine L; Kanetsky, Peter A

    2014-11-15

    Genome-wide association (GWA) studies of testicular germ cell tumor (TGCT) have identified 18 susceptibility loci, some containing genes encoding proteins important in male germ cell development. Deletions of one of these genes, DMRT1, lead to male-to-female sex reversal and are associated with development of gonadoblastoma. To further explore genetic association with TGCT, we undertook a pathway-based analysis of SNP marker associations in the Penn GWAs (349 TGCT cases and 919 controls). We analyzed a custom-built sex determination gene set consisting of 32 genes using three different methods of pathway-based analysis. The sex determination gene set ranked highly compared with canonical gene sets, and it was associated with TGCT (FDRG = 2.28 × 10(-5), FDRM = 0.014 and FDRI = 0.008 for Gene Set Analysis-SNP (GSA-SNP), Meta-Analysis Gene Set Enrichment of Variant Associations (MAGENTA) and Improved Gene Set Enrichment Analysis for Genome-wide Association Study (i-GSEA4GWAS) analysis, respectively). The association remained after removal of DMRT1 from the gene set (FDRG = 0.0002, FDRM = 0.055 and FDRI = 0.009). Using data from the NCI GWA scan (582 TGCT cases and 1056 controls) and UK scan (986 TGCT cases and 4946 controls), we replicated these findings (NCI: FDRG = 0.006, FDRM = 0.014, FDRI = 0.033, and UK: FDRG = 1.04 × 10(-6), FDRM = 0.016, FDRI = 0.025). After removal of DMRT1 from the gene set, the sex determination gene set remains associated with TGCT in the NCI (FDRG = 0.039, FDRM = 0.050 and FDRI = 0.055) and UK scans (FDRG = 3.00 × 10(-5), FDRM = 0.056 and FDRI = 0.044). With the exception of DMRT1, genes in the sex determination gene set have not previously been identified as TGCT susceptibility loci in these GWA scans, demonstrating the complementary nature of a pathway-based approach for genome-wide analysis of TGCT.

  9. Meta-analysis of genome-wide association studies identifies novel loci that influence cupping and the glaucomatous process.

    Science.gov (United States)

    Springelkamp, Henriët; Höhn, René; Mishra, Aniket; Hysi, Pirro G; Khor, Chiea-Chuen; Loomis, Stephanie J; Bailey, Jessica N Cooke; Gibson, Jane; Thorleifsson, Gudmar; Janssen, Sarah F; Luo, Xiaoyan; Ramdas, Wishal D; Vithana, Eranga; Nongpiur, Monisha E; Montgomery, Grant W; Xu, Liang; Mountain, Jenny E; Gharahkhani, Puya; Lu, Yi; Amin, Najaf; Karssen, Lennart C; Sim, Kar-Seng; van Leeuwen, Elisabeth M; Iglesias, Adriana I; Verhoeven, Virginie J M; Hauser, Michael A; Loon, Seng-Chee; Despriet, Dominiek D G; Nag, Abhishek; Venturini, Cristina; Sanfilippo, Paul G; Schillert, Arne; Kang, Jae H; Landers, John; Jonasson, Fridbert; Cree, Angela J; van Koolwijk, Leonieke M E; Rivadeneira, Fernando; Souzeau, Emmanuelle; Jonsson, Vesteinn; Menon, Geeta; Weinreb, Robert N; de Jong, Paulus T V M; Oostra, Ben A; Uitterlinden, André G; Hofman, Albert; Ennis, Sarah; Thorsteinsdottir, Unnur; Burdon, Kathryn P; Spector, Timothy D; Mirshahi, Alireza; Saw, Seang-Mei; Vingerling, Johannes R; Teo, Yik-Ying; Haines, Jonathan L; Wolfs, Roger C W; Lemij, Hans G; Tai, E-Shyong; Jansonius, Nomdo M; Jonas, Jost B; Cheng, Ching-Yu; Aung, Tin; Viswanathan, Ananth C; Klaver, Caroline C W; Craig, Jamie E; Macgregor, Stuart; Mackey, David A; Lotery, Andrew J; Stefansson, Kari; Bergen, Arthur A B; Young, Terri L; Wiggs, Janey L; Pfeiffer, Norbert; Wong, Tien-Yin; Pasquale, Louis R; Hewitt, Alex W; van Duijn, Cornelia M; Hammond, Christopher J

    2014-09-22

    Glaucoma is characterized by irreversible optic nerve degeneration and is the most frequent cause of irreversible blindness worldwide. Here, the International Glaucoma Genetics Consortium conducts a meta-analysis of genome-wide association studies of vertical cup-disc ratio (VCDR), an important disease-related optic nerve parameter. In 21,094 individuals of European ancestry and 6,784 individuals of Asian ancestry, we identify 10 new loci associated with variation in VCDR. In a separate risk-score analysis of five case-control studies, Caucasians in the highest quintile have a 2.5-fold increased risk of primary open-angle glaucoma as compared with those in the lowest quintile. This study has more than doubled the known loci associated with optic disc cupping and will allow greater understanding of mechanisms involved in this common blinding condition.

  10. Genome-wide association analysis of young onset stroke identifies a locus on chromosome 10q25 near HABP2

    Science.gov (United States)

    Cheng, Yu-Ching; Stanne, Tara M.; Giese, Anne-Katrin; Ho, Weang Kee; Traylor, Matthew; Amouyel, Philippe; Holliday, Elizabeth G.; Malik, Rainer; Xu, Huichun; Kittner, Steven J.; Cole, John W.; O’Connell, Jeffrey R.; Danesh, John; Rasheed, Asif; Zhao, Wei; Engelter, Stefan; Grond-Ginsbach, Caspar; Kamatani, Yoichiro; Lathrop, Mark; Leys, Didier; Thijs, Vincent; Metso, Tiina M.; Tatlisumak, Turgut; Pezzini, Alessandro; Parati, Eugenio A.; Norrving, Bo; Bevan, Steve; Rothwell, Peter M; Sudlow, Cathie; Slowik, Agnieszka; Lindgren, Arne; Walters, Matthew R; Jannes, Jim; Shen, Jess; Crosslin, David; Doheny, Kimberly; Laurie, Cathy C.; Kanse, Sandip M.; Bis, Joshua C.; Fornage, Myriam; Mosley, Thomas H.; Hopewell, Jemma C.; Strauch, Konstantin; Müller-Nurasyid, Martina; Gieger, Christian; Waldenberger, Melanie; Peters, Annette; Meisinger, Christine; Ikram, M. Arfan; Longstreth, WT; Meschia, James F.; Seshadri, Sudha; Sharma, Pankaj; Worrall, Bradford; Jern, Christina; Levi, Christopher; Dichgans, Martin; Boncoraglio, Giorgio B.; Markus, Hugh S.; Debette, Stephanie; Rolfs, Arndt; Saleheen, Danish; Mitchell, Braxton D.

    2015-01-01

    Background and Purpose Although a genetic contribution to ischemic stroke is well recognized, only a handful of stroke loci have been identified by large-scale genetic association studies to date. Hypothesizing that genetic effects might be stronger for early- versus late-onset stroke, we conducted a two-stage meta-analysis of genome-wide association studies (GWAS), focusing on stroke cases with an age of onset HABP2. In a further analysis in an independent sample, we found that two SNPs in high linkage disequilibrium with rs11196288 were significantly associated with total plasma factor VII-activating protease levels, a product of HABP2. Conclusions HABP2, which encodes an extracellular serine protease involved in coagulation, fibrinolysis, and inflammatory pathways, may be a genetic susceptibility locus for early-onset stroke. PMID:26732560

  11. Meta-analysis of genome-wide association studies identifies eight new loci for type 2 diabetes in east Asians

    DEFF Research Database (Denmark)

    Cho, Yoon Shin; Chen, Chien-Hsiun; Hu, Cheng;

    2012-01-01

    We conducted a three-stage genetic study to identify susceptibility loci for type 2 diabetes (T2D) in east Asian populations. We followed our stage 1 meta-analysis of eight T2D genome-wide association studies (6,952 cases with T2D and 11,865 controls) with a stage 2 in silico replication analysis....... GLIS3, which is involved in pancreatic beta cell development and insulin gene expression, is known for its association with fasting glucose levels. The evidence of an association with T2D for PEPD and HNF4A has been shown in previous studies. KCNK16 may regulate glucose-dependent insulin secretion...... (5,843 cases and 4,574 controls) and a stage 3 de novo replication analysis (12,284 cases and 13,172 controls). The combined analysis identified eight new T2D loci reaching genome-wide significance, which mapped in or near GLIS3, PEPD, FITM2-R3HDML-HNF4A, KCNK16, MAEA, GCC1-PAX4, PSMD6 and ZFAND3...

  12. Genetic modifiers of neurofibromatosis type 1-associated cafe-au-lait macule count identified using multi-platform analysis.

    Directory of Open Access Journals (Sweden)

    Alexander Pemov

    2014-10-01

    Full Text Available Neurofibromatosis type 1 (NF1 is an autosomal dominant, monogenic disorder of dysregulated neurocutaneous tissue growth. Pleiotropy, variable expressivity and few NF1 genotype-phenotype correlates limit clinical prognostication in NF1. Phenotype complexity in NF1 is hypothesized to derive in part from genetic modifiers unlinked to the NF1 locus. In this study, we hypothesized that normal variation in germline gene expression confers risk for certain phenotypes in NF1. In a set of 79 individuals with NF1, we examined the association between gene expression in lymphoblastoid cell lines with NF1-associated phenotypes and sequenced select genes with significant phenotype/expression correlations. In a discovery cohort of 89 self-reported European-Americans with NF1 we examined the association between germline sequence variants of these genes with café-au-lait macule (CALM count, a tractable, tumor-like phenotype in NF1. Two correlated, common SNPs (rs4660761 and rs7161 between DPH2 and ATP6V0B were significantly associated with the CALM count. Analysis with tiled regression also identified SNP rs4660761 as significantly associated with CALM count. SNP rs1800934 and 12 rare variants in the mismatch repair gene MSH6 were also associated with CALM count. Both SNPs rs7161 and rs4660761 (DPH2 and ATP6V0B were highly significant in a mega-analysis in a combined cohort of 180 self-reported European-Americans; SNP rs1800934 (MSH6 was near-significant in a meta-analysis assuming dominant effect of the minor allele. SNP rs4660761 is predicted to regulate ATP6V0B, a gene associated with melanosome biology. Individuals with homozygous mutations in MSH6 can develop an NF1-like phenotype, including multiple CALMs. Through a multi-platform approach, we identified variants that influence NF1 CALM count.

  13. Meta-analysis of genome-wide association studies identifies ten loci influencing allergic sensitization

    NARCIS (Netherlands)

    Bonnelykke, Klaus; Matheson, Melanie C.; Pers, Tune H.; Granell, Raquel; Strachan, David P.; Alves, Alexessander Couto; Linneberg, Allan; Curtin, John A.; Warrington, Nicole M.; Standl, Marie; Kerkhof, Marjan; Jonsdottir, Ingileif; Bukvic, Blazenka K.; Kaakinen, Marika; Sleimann, Patrick; Thorleifsson, Gudmar; Thorsteinsdottir, Unnur; Schramm, Katharina; Baltic, Svetlana; Kreiner-Moller, Eskil; Simpson, Angela; St Pourcain, Beate; Coin, Lachlan; Hui, Jennie; Walters, Eugene H.; Tiesler, Carla M. T.; Duffy, David L.; Jones, Graham; Ring, Susan M.; McArdle, Wendy L.; Price, Loren; Robertson, Colin F.; Pekkanen, Juha; Tang, Clara S.; Thiering, Elisabeth; Montgomery, Grant W.; Hartikainen, Anna-Liisa; Dharmage, Shyamali C.; Husemoen, Lise L.; Herder, Christian; Kemp, John P.; Elliot, Paul; James, Alan; Waldenberger, Melanie; Abramson, Michael J.; Fairfax, Benjamin P.; Knight, Julian C.; Gupta, Ramneek; Thompson, Philip J.; Holt, Patrick; Sly, Peter; Hirschhorn, Joel N.; Blekic, Mario; Weidinger, Stephan; Hakonarsson, Hakon; Stefansson, Kari; Heinrich, Joachim; Postma, Dirkje S.; Custovic, Adnan; Pennell, Craig E.; Jarvelin, Marjo-Riitta; Koppelman, Gerard H.; Timpson, Nicholas; Ferreira, Manuel A.; Bisgaard, Hans; Henderson, A. John

    2013-01-01

    Allergen-specific immunoglobulin E (present in allergic sensitization) has a central role in the pathogenesis of allergic disease. We performed the first large-scale genome-wide association study (GWAS) of allergic sensitization in 5,789 affected individuals and 10,056 controls and followed up the t

  14. Meta-analysis of genome-wide association studies identifies ten loci influencing allergic sensitization

    DEFF Research Database (Denmark)

    Bønnelykke, Klaus; Matheson, Melanie C; Pers, Tune Hannes

    2013-01-01

    the top SNP at each of 26 loci in 6,114 affected individuals and 9,920 controls. We increased the number of susceptibility loci with genome-wide significant association with allergic sensitization from three to ten, including SNPs in or near TLR6, C11orf30, STAT6, SLC25A46, HLA-DQB1, IL1RL1, LPP, MYC, IL2...

  15. Genome-wide meta-analysis identifies six novel loci associated with habitual coffee consumption

    NARCIS (Netherlands)

    M. Cornelis (Marilyn); E.M. Byrne; T. Esko (Tõnu); M.A. Nalls (Michael); A. Ganna (Andrea); N.P. Paynter (Nina); K.L. Monda (Keri); N. Amin; K. Fischer (Krista); F. Renström (Frida); J.S. Ngwa; V. Huikari (Ville); A. Cavadino (Alana); I.M. Nolte (Ilja M.); A. Teumer (Alexander); K. Yu; P. Marques-Vidal; R. Rawal; A. Manichaikul (Ani); M.K. Wojczynski (Mary ); J.M. Vink; J.H. Zhao; G. Burlutsky (George); J. Lahti (Jari); V. Mikkilä (Vera); R.N. Lemaitre (Rozenn ); J. Eriksson; S. Musani (Solomon); T. Tanaka; F. Geller (Frank); J. Luan; J. Hui; R. Mägi (Reedik); M. Dimitriou (Maria); M. Garcia (Melissa); W.-K. Ho; M.J. Wright (Margaret); L.M. Rose (Lynda M.); P.K.E. Magnusson (Patrik K. E.); N.L. Pedersen (Nancy L.); D.J. Couper (David); B.A. Oostra (Ben); A. Hofman (Albert); M.A. Ikram (Arfan); H.W. Tiemeier (Henning); A.G. Uitterlinden (André); F.J.A. van Rooij (Frank); I. Barroso; I. Johansson (Ingegerd); L. Xue (Luting); M. Kaakinen (Marika); L. Milani (Lili); C. Power (Christine); H. Snieder (Harold); R.P. Stolk; S.E. Baumeister (Sebastian); R. Biffar; F. Gu; F. Bastardot (Francois); Z. Kutalik; D.R. Jacobs (David); N.G. Forouhi (Nita G.); E. Mihailov (Evelin); L. Lind (Lars); C. Lindgren; K. Michaëlsson; A.P. Morris (Andrew); M.K. Jensen (Majken K.); K.T. Khaw; R.N. Luben (Robert); J.J. Wang; S. Männistö (Satu); M.-M. Perälä; M. Kähönen (Mika); T. Lehtimäki (Terho); J. Viikari (Jorma); D. Mozaffarian; K. Mukamal (Kenneth); B.M. Psaty (Bruce); A. Döring; A.C. Heath (Andrew C.); G.W. Montgomery (Grant W.); N. Dahmen (N.); T. Carithers; K.L. Tucker; L. Ferrucci (Luigi); H.A. Boyd; M. Melbye (Mads); J.L. Treur; D. Mellström (Dan); J.J. Hottenga (Jouke Jan); I. Prokopenko (Inga); A. Tönjes (Anke); P. Deloukas (Panagiotis); S. Kanoni (Stavroula); M. Lorentzon (Mattias); D.K. Houston; Y. Liu; J. Danesh (John); A. Rasheed; M.A. Mason; A.B. Zonderman; L. Franke (Lude); B.S. Kristal; J. Karjalainen (Juha); D.R. Reed; H.-J. Westra; M.K. Evans; D. Saleheen; T.B. Harris (Tamara B.); G.V. Dedoussis (George V.); G.C. Curhan (Gary); M. Stumvoll (Michael); J. Beilby (John); L.R. Pasquale; B. Feenstra; S. Bandinelli; J.M. Ordovas; A.T. Chan; U. Peters (Ulrike); C. Ohlsson (Claes); C. Gieger (Christian); N.G. Martin (Nicholas); M. Waldenberger (Melanie); D.S. Siscovick (David); O. Raitakari (Olli); J.G. Eriksson (Johan G.); P. Mitchell (Paul); D. Hunter (David); P. Kraft (Peter); E.B. Rimm (Eric B.); D.I. Boomsma (Dorret); I.B. Borecki (Ingrid); R.J.F. Loos (Ruth); N.J. Wareham (Nick); P.K. Vollenweider (Peter K.); N. Caporaso; H.J. Grabe (Hans Jörgen); M.L. Neuhouser (Marian L.); B.H.R. Wolffenbuttel (Bruce H. R.); F.B. Hu (Frank); E. Hypponen (Elina); M.-R. Jarvelin (Marjo-Riitta); L.A. Cupples (Adrienne); P.W. Franks; P.M. Ridker (Paul); C.M. Van Duijn (Cornelia M.); G. Heiss (Gerardo); A. Metspalu (Andres); K.E. North (Kari); E. Ingelsson (Erik); J.A. Nettleton; R.M. van Dam (Rob); D.I. Chasman (Daniel)

    2015-01-01

    textabstractCoffee, a major dietary source of caffeine, is among the most widely consumed beverages in the world and has received considerable attention regarding health risks and benefits. We conducted a genome-wide (GW) meta-analysis of predominately regular-type coffee consumption (cups per day)

  16. Genome-wide meta-analysis identifies six novel loci associated with habitual coffee consumption

    NARCIS (Netherlands)

    Cornelis, M.C.; Byrne, E.M.; Esko, T.; Nalls, M.A.; Ganna, A.; Paynter, N.; Monda, K.L.; Amin, N.; Fischer, K.; Renstrom, F.; Ngwa, J.S.; Huikari, V.; Cavadino, A.; Nolte, I.M.; Teumer, A.; Yu, K.; Marques-Vidal, P.; Rawal, R.; Manichaikul, A.; Wojczynski, M.K.; Vink, J.M.; Zhao, J.H.; Burlutsky, G.; Lahti, J.; Mikkila, V.; Lemaitre, R.N.; Eriksson, J.; Musani, S.K.; Tanaka, T.; Geller, F.; Luan, J.; Hui, J.; Magi, R.; Dimitriou, M.; Garcia, M.E.; Ho, W.K.; Wright, M.J.; Rose, L.M.; Magnusson, P.K.; Pedersen, N.L.; Couper, D.; Oostra, B.A.; Hofman, A.; Ikram, M.A.; Tiemeier, H.W.; Uitterlinden, A.G.; Rooij, F.J. van; Barroso, I.; Johansson, I.; Xue, L.; Kaakinen, M.; Milani, L.; Power, C.; Snieder, H.; Stolk, R.P.; Baumeister, S.E.; Biffar, R.; Gu, F.; Bastardot, F.; Kutalik, Z.; Jacobs, D.R., Jr.; Forouhi, N.G.; Mihailov, E.; Lind, L.; Lindgren, C.; Michaelsson, K.; Morris, A.; Jensen, M.; Khaw, K.T.; Luben, R.N.; Wang, J.J.; Mannisto, S.; Perala, M.M.; Kahonen, M.; Lehtimaki, T.; Viikari, J.; Mozaffarian, D.; Mukamal, K.; Psaty, B.M.; Doring, A.; Heath, A.C.; Montgomery, G.W.; Dahmen, N.; Carithers, T.; Tucker, K.L.; Ferrucci, L.; Boyd, H.A.; Melbye, M.; Treur, J.L.; Mellstrom, D.; Hottenga, J.J.; Prokopenko, I.; Tonjes, A.; Deloukas, P.; Kanoni, S.; Lorentzon, M.; Houston, D.K.; Liu, Y.; Danesh, J.; Rasheed, A.; Bloem, B.R.; Post, B.; Scheffer, H.; Warrenburg, B.P.C. van de

    2015-01-01

    Coffee, a major dietary source of caffeine, is among the most widely consumed beverages in the world and has received considerable attention regarding health risks and benefits. We conducted a genome-wide (GW) meta-analysis of predominately regular-type coffee consumption (cups per day) among up to

  17. Genome-wide meta-analysis identifies multiple novel associations and ethnic heterogeneity of psoriasis susceptibility

    NARCIS (Netherlands)

    Yin, Xianyong; Low, Hui Qi; Wang, Ling; Li, Yonghong; Ellinghaus, Eva; Han, Jiali; Estivill, Xavier; Sun, Liangdan; Zuo, Xianbo; Shen, Changbing; Zhu, Caihong; Zhang, Anping; Sanchez, Fabio; Padyukov, Leonid; Catanese, Joseph J; Krueger, Gerald G; Duffin, Kristina Callis; Mucha, Sören; Weichenthal, Michael; Weidinger, Stephan; Lieb, Wolfgang; Foo, Jia Nee; Li, Yi; Sim, Karseng; Liany, Herty; Irwan, Ishak; Teo, Yikying; Theng, Colin T S; Gupta, Rashmi; Bowcock, Anne; De Jager, Philip L; Qureshi, Abrar A; de Bakker, Paul I W; Seielstad, Mark; Liao, Wilson; Ståhle, Mona; Franke, Andre; Zhang, Xuejun; Liu, Jianjun

    2015-01-01

    Psoriasis is a common inflammatory skin disease with complex genetics and different degrees of prevalence across ethnic populations. Here we present the largest trans-ethnic genome-wide meta-analysis (GWMA) of psoriasis in 15,369 cases and 19,517 controls of Caucasian and Chinese ancestries. We iden

  18. Large-scale genome-wide association analysis of bipolar disorder identifies a new susceptibility locus near ODZ4.

    LENUS (Irish Health Repository)

    Sklar, Pamela

    2011-10-01

    We conducted a combined genome-wide association study (GWAS) of 7,481 individuals with bipolar disorder (cases) and 9,250 controls as part of the Psychiatric GWAS Consortium. Our replication study tested 34 SNPs in 4,496 independent cases with bipolar disorder and 42,422 independent controls and found that 18 of 34 SNPs had P < 0.05, with 31 of 34 SNPs having signals with the same direction of effect (P = 3.8 × 10(-7)). An analysis of all 11,974 bipolar disorder cases and 51,792 controls confirmed genome-wide significant evidence of association for CACNA1C and identified a new intronic variant in ODZ4. We identified a pathway comprised of subunits of calcium channels enriched in bipolar disorder association intervals. Finally, a combined GWAS analysis of schizophrenia and bipolar disorder yielded strong association evidence for SNPs in CACNA1C and in the region of NEK4-ITIH1-ITIH3-ITIH4. Our replication results imply that increasing sample sizes in bipolar disorder will confirm many additional loci.

  19. A meta-analysis identifies new loci associated with body mass index in individuals of African ancestry.

    Science.gov (United States)

    Monda, Keri L; Chen, Gary K; Taylor, Kira C; Palmer, Cameron; Edwards, Todd L; Lange, Leslie A; Ng, Maggie C Y; Adeyemo, Adebowale A; Allison, Matthew A; Bielak, Lawrence F; Chen, Guanjie; Graff, Mariaelisa; Irvin, Marguerite R; Rhie, Suhn K; Li, Guo; Liu, Yongmei; Liu, Youfang; Lu, Yingchang; Nalls, Michael A; Sun, Yan V; Wojczynski, Mary K; Yanek, Lisa R; Aldrich, Melinda C; Ademola, Adeyinka; Amos, Christopher I; Bandera, Elisa V; Bock, Cathryn H; Britton, Angela; Broeckel, Ulrich; Cai, Quiyin; Caporaso, Neil E; Carlson, Chris S; Carpten, John; Casey, Graham; Chen, Wei-Min; Chen, Fang; Chen, Yii-Der I; Chiang, Charleston W K; Coetzee, Gerhard A; Demerath, Ellen; Deming-Halverson, Sandra L; Driver, Ryan W; Dubbert, Patricia; Feitosa, Mary F; Feng, Ye; Freedman, Barry I; Gillanders, Elizabeth M; Gottesman, Omri; Guo, Xiuqing; Haritunians, Talin; Harris, Tamara; Harris, Curtis C; Hennis, Anselm J M; Hernandez, Dena G; McNeill, Lorna H; Howard, Timothy D; Howard, Barbara V; Howard, Virginia J; Johnson, Karen C; Kang, Sun J; Keating, Brendan J; Kolb, Suzanne; Kuller, Lewis H; Kutlar, Abdullah; Langefeld, Carl D; Lettre, Guillaume; Lohman, Kurt; Lotay, Vaneet; Lyon, Helen; Manson, Joann E; Maixner, William; Meng, Yan A; Monroe, Kristine R; Morhason-Bello, Imran; Murphy, Adam B; Mychaleckyj, Josyf C; Nadukuru, Rajiv; Nathanson, Katherine L; Nayak, Uma; N'diaye, Amidou; Nemesure, Barbara; Wu, Suh-Yuh; Leske, M Cristina; Neslund-Dudas, Christine; Neuhouser, Marian; Nyante, Sarah; Ochs-Balcom, Heather; Ogunniyi, Adesola; Ogundiran, Temidayo O; Ojengbede, Oladosu; Olopade, Olufunmilayo I; Palmer, Julie R; Ruiz-Narvaez, Edward A; Palmer, Nicholette D; Press, Michael F; Rampersaud, Evandine; Rasmussen-Torvik, Laura J; Rodriguez-Gil, Jorge L; Salako, Babatunde; Schadt, Eric E; Schwartz, Ann G; Shriner, Daniel A; Siscovick, David; Smith, Shad B; Wassertheil-Smoller, Sylvia; Speliotes, Elizabeth K; Spitz, Margaret R; Sucheston, Lara; Taylor, Herman; Tayo, Bamidele O; Tucker, Margaret A; Van Den Berg, David J; Edwards, Digna R Velez; Wang, Zhaoming; Wiencke, John K; Winkler, Thomas W; Witte, John S; Wrensch, Margaret; Wu, Xifeng; Yang, James J; Levin, Albert M; Young, Taylor R; Zakai, Neil A; Cushman, Mary; Zanetti, Krista A; Zhao, Jing Hua; Zhao, Wei; Zheng, Yonglan; Zhou, Jie; Ziegler, Regina G; Zmuda, Joseph M; Fernandes, Jyotika K; Gilkeson, Gary S; Kamen, Diane L; Hunt, Kelly J; Spruill, Ida J; Ambrosone, Christine B; Ambs, Stefan; Arnett, Donna K; Atwood, Larry; Becker, Diane M; Berndt, Sonja I; Bernstein, Leslie; Blot, William J; Borecki, Ingrid B; Bottinger, Erwin P; Bowden, Donald W; Burke, Gregory; Chanock, Stephen J; Cooper, Richard S; Ding, Jingzhong; Duggan, David; Evans, Michele K; Fox, Caroline; Garvey, W Timothy; Bradfield, Jonathan P; Hakonarson, Hakon; Grant, Struan F A; Hsing, Ann; Chu, Lisa; Hu, Jennifer J; Huo, Dezheng; Ingles, Sue A; John, Esther M; Jordan, Joanne M; Kabagambe, Edmond K; Kardia, Sharon L R; Kittles, Rick A; Goodman, Phyllis J; Klein, Eric A; Kolonel, Laurence N; Le Marchand, Loic; Liu, Simin; McKnight, Barbara; Millikan, Robert C; Mosley, Thomas H; Padhukasahasram, Badri; Williams, L Keoki; Patel, Sanjay R; Peters, Ulrike; Pettaway, Curtis A; Peyser, Patricia A; Psaty, Bruce M; Redline, Susan; Rotimi, Charles N; Rybicki, Benjamin A; Sale, Michèle M; Schreiner, Pamela J; Signorello, Lisa B; Singleton, Andrew B; Stanford, Janet L; Strom, Sara S; Thun, Michael J; Vitolins, Mara; Zheng, Wei; Moore, Jason H; Williams, Scott M; Ketkar, Shamika; Zhu, Xiaofeng; Zonderman, Alan B; Kooperberg, Charles; Papanicolaou, George J; Henderson, Brian E; Reiner, Alex P; Hirschhorn, Joel N; Loos, Ruth J F; North, Kari E; Haiman, Christopher A

    2013-06-01

    Genome-wide association studies (GWAS) have identified 36 loci associated with body mass index (BMI), predominantly in populations of European ancestry. We conducted a meta-analysis to examine the association of >3.2 million SNPs with BMI in 39,144 men and women of African ancestry and followed up the most significant associations in an additional 32,268 individuals of African ancestry. We identified one new locus at 5q33 (GALNT10, rs7708584, P = 3.4 × 10(-11)) and another at 7p15 when we included data from the GIANT consortium (MIR148A-NFE2L3, rs10261878, P = 1.2 × 10(-10)). We also found suggestive evidence of an association at a third locus at 6q16 in the African-ancestry sample (KLHL32, rs974417, P = 6.9 × 10(-8)). Thirty-two of the 36 previously established BMI variants showed directionally consistent effect estimates in our GWAS (binomial P = 9.7 × 10(-7)), five of which reached genome-wide significance. These findings provide strong support for shared BMI loci across populations, as well as for the utility of studying ancestrally diverse populations.

  20. A Meta-Analysis Identifies New Loci Associated with Body Mass index in Individuals of African Ancestry

    Science.gov (United States)

    Monda, Keri L.; Chen, Gary K.; Taylor, Kira C.; Palmer, Cameron; Edwards, Todd L.; Lange, Leslie A.; Ng, Maggie C.Y.; Adeyemo, Adebowale A.; Allison, Matthew A.; Bielak, Lawrence F.; Chen, Guanji; Graff, Mariaelisa; Irvin, Marguerite R.; Rhie, Suhn K.; Li, Guo; Liu, Yongmei; Liu, Youfang; Lu, Yingchang; Nalls, Michael A.; Sun, Yan V.; Wojczynski, Mary K.; Yanek, Lisa R.; Aldrich, Melinda C.; Ademola, Adeyinka; Amos, Christopher I.; Bandera, Elisa V.; Bock, Cathryn H.; Britton, Angela; Broeckel, Ulrich; Cai, Quiyin; Caporaso, Neil E.; Carlson, Chris; Carpten, John; Casey, Graham; Chen, Wei-Min; Chen, Fang; Chen, Yii-Der I.; Chiang, Charleston W.K.; Coetzee, Gerhard A.; Demerath, Ellen; Deming-Halverson, Sandra L.; Driver, Ryan W.; Dubbert, Patricia; Feitosa, Mary F.; Freedman, Barry I.; Gillanders, Elizabeth M.; Gottesman, Omri; Guo, Xiuqing; Haritunians, Talin; Harris, Tamara; Harris, Curtis C.; Hennis, Anselm JM; Hernandez, Dena G.; McNeill, Lorna H.; Howard, Timothy D.; Howard, Barbara V.; Howard, Virginia J.; Johnson, Karen C.; Kang, Sun J.; Keating, Brendan J.; Kolb, Suzanne; Kuller, Lewis H.; Kutlar, Abdullah; Langefeld, Carl D.; Lettre, Guillaume; Lohman, Kurt; Lotay, Vaneet; Lyon, Helen; Manson, JoAnn E.; Maixner, William; Meng, Yan A.; Monroe, Kristine R.; Morhason-Bello, Imran; Murphy, Adam B.; Mychaleckyj, Josyf C.; Nadukuru, Rajiv; Nathanson, Katherine L.; Nayak, Uma; N’Diaye, Amidou; Nemesure, Barbara; Wu, Suh-Yuh; Leske, M. Cristina; Neslund-Dudas, Christine; Neuhouser, Marian; Nyante, Sarah; Ochs-Balcom, Heather; Ogunniyi, Adesola; Ogundiran, Temidayo O.; Ojengbede, Oladosu; Olopade, Olufunmilayo I.; Palmer, Julie R.; Ruiz-Narvaez, Edward A.; Palmer, Nicholette D.; Press, Michael F.; Rampersaud, Evandine; Rasmussen-Torvik, Laura J.; Rodriguez-Gil, Jorge L.; Salako, Babatunde; Schadt, Eric E.; Schwartz, Ann G.; Shriner, Daniel A.; Siscovick, David; Smith, Shad B.; Wassertheil-Smoller, Sylvia; Speliotes, Elizabeth K.; Spitz, Margaret R.; Sucheston, Lara; Taylor, Herman; Tayo, Bamidele O.; Tucker, Margaret A.; Van Den Berg, David J.; Velez Edwards, Digna R.; Wang, Zhaoming; Wiencke, John K.; Winkler, Thomas W.; Witte, John S.; Wrensch, Margaret; Wu, Xifeng; Yang, James J.; Levin, Albert M.; Young, Taylor R.; Zakai, Neil A.; Cushman, Mary; Zanetti, Krista A.; Zhao, Jing Hua; Zhao, Wei; Zheng, Yonglan; Zhou, Jie; Ziegler, Regina G.; Zmuda, Joseph M.; Fernandes, Jyotika K.; Gilkeson, Gary S.; Kamen, Diane L.; Hunt, Kelly J.; Spruill, Ida J.; Ambrosone, Christine B.; Ambs, Stefan; Arnett, Donna K.; Atwood, Larry; Becker, Diane M.; Berndt, Sonja I.; Bernstein, Leslie; Blot, William J.; Borecki, Ingrid B.; Bottinger, Erwin P.; Bowden, Donald W.; Burke, Gregory; Chanock, Stephen J.; Cooper, Richard S.; Ding, Jingzhong; Duggan, David; Evans, Michele K.; Fox, Caroline; Garvey, W. Timothy; Bradfield, Jonathan P.; Hakonarson, Hakon; Grant, Struan F.A.; Hsing, Ann; Chu, Lisa; Hu, Jennifer J.; Huo, Dezheng; Ingles, Sue A.; John, Esther M.; Jordan, Joanne M.; Kabagambe, Edmond K.; Kardia, Sharon L.R.; Kittles, Rick A.; Goodman, Phyllis J.; Klein, Eric A.; Kolonel, Laurence N.; Le Marchand, Loic; Liu, Simin; McKnight, Barbara; Millikan, Robert C.; Mosley, Thomas H.; Padhukasahasram, Badri; Williams, L. Keoki; Patel, Sanjay R.; Peters, Ulrike; Pettaway, Curtis A.; Peyser, Patricia A.; Psaty, Bruce M.; Redline, Susan; Rotimi, Charles N.; Rybicki, Benjamin A.; Sale, Michèle M.; Schreiner, Pamela J.; Signorello, Lisa B.; Singleton, Andrew B.; Stanford, Janet L.; Strom, Sara S.; Thun, Michael J.; Vitolins, Mara; Zheng, Wei; Moore, Jason H.; Williams, Scott M.; Zhu, Xiaofeng; Zonderman, Alan B.; Kooperberg, Charles; Papanicolaou, George; Henderson, Brian E.; Reiner, Alex P.; Hirschhorn, Joel N.; Loos, Ruth JF; North, Kari E.; Haiman, Christopher A.

    2013-01-01

    Genome-wide association studies (GWAS) have identified 36 loci associated with body mass index (BMI), predominantly in populations of European ancestry. We conducted a meta-analysis to examine the association of >3.2 million SNPs with BMI in 39,144 men and women of African ancestry, and followed up the most significant associations in an additional 32,268 individuals of African ancestry. We identified one novel locus at 5q33 (GALNT10, rs7708584, p=3.4×10−11) and another at 7p15 when combined with data from the Giant consortium (MIR148A/NFE2L3, rs10261878, p=1.2×10−10). We also found suggestive evidence of an association at a third locus at 6q16 in the African ancestry sample (KLHL32, rs974417, p=6.9×10−8). Thirty-two of the 36 previously established BMI variants displayed directionally consistent effect estimates in our GWAS (binomial p=9.7×10−7), of which five reached genome-wide significance. These findings provide strong support for shared BMI loci across populations as well as for the utility of studying ancestrally diverse populations. PMID:23583978

  1. An Integrated Metabolomic and Microbiome Analysis Identified Specific Gut Microbiota Associated with Fecal Cholesterol and Coprostanol in Clostridium difficile Infection.

    Science.gov (United States)

    Antharam, Vijay C; McEwen, Daniel C; Garrett, Timothy J; Dossey, Aaron T; Li, Eric C; Kozlov, Andrew N; Mesbah, Zhubene; Wang, Gary P

    2016-01-01

    Clostridium difficile infection (CDI) is characterized by dysbiosis of the intestinal microbiota and a profound derangement in the fecal metabolome. However, the contribution of specific gut microbes to fecal metabolites in C. difficile-associated gut microbiome remains poorly understood. Using gas-chromatography mass spectrometry (GC-MS) and 16S rRNA deep sequencing, we analyzed the metabolome and microbiome of fecal samples obtained longitudinally from subjects with Clostridium difficile infection (n = 7) and healthy controls (n = 6). From 155 fecal metabolites, we identified two sterol metabolites at >95% match to cholesterol and coprostanol that significantly discriminated C. difficile-associated gut microbiome from healthy microbiota. By correlating the levels of cholesterol and coprostanol in fecal extracts with 2,395 bacterial operational taxonomic units (OTUs) determined by 16S rRNA sequencing, we identified 63 OTUs associated with high levels of coprostanol and 2 OTUs correlated with low coprostanol levels. Using indicator species analysis (ISA), 31 of the 63 coprostanol-associated bacteria correlated with health, and two Veillonella species were associated with low coprostanol levels that correlated strongly with CDI. These 65 bacterial taxa could be clustered into 12 sub-communities, with each community containing a consortium of organisms that co-occurred with one another. Our studies identified 63 human gut microbes associated with cholesterol-reducing activities. Given the importance of gut bacteria in reducing and eliminating cholesterol from the GI tract, these results support the recent finding that gut microbiome may play an important role in host lipid metabolism.

  2. Genome-wide association meta-analysis identifies five modifier loci of lung disease severity in cystic fibrosis.

    Science.gov (United States)

    Corvol, Harriet; Blackman, Scott M; Boëlle, Pierre-Yves; Gallins, Paul J; Pace, Rhonda G; Stonebraker, Jaclyn R; Accurso, Frank J; Clement, Annick; Collaco, Joseph M; Dang, Hong; Dang, Anthony T; Franca, Arianna; Gong, Jiafen; Guillot, Loic; Keenan, Katherine; Li, Weili; Lin, Fan; Patrone, Michael V; Raraigh, Karen S; Sun, Lei; Zhou, Yi-Hui; O'Neal, Wanda K; Sontag, Marci K; Levy, Hara; Durie, Peter R; Rommens, Johanna M; Drumm, Mitchell L; Wright, Fred A; Strug, Lisa J; Cutting, Garry R; Knowles, Michael R

    2015-09-29

    The identification of small molecules that target specific CFTR variants has ushered in a new era of treatment for cystic fibrosis (CF), yet optimal, individualized treatment of CF will require identification and targeting of disease modifiers. Here we use genome-wide association analysis to identify genetic modifiers of CF lung disease, the primary cause of mortality. Meta-analysis of 6,365 CF patients identifies five loci that display significant association with variation in lung disease. Regions on chr3q29 (MUC4/MUC20; P=3.3 × 10(-11)), chr5p15.3 (SLC9A3; P=6.8 × 10(-12)), chr6p21.3 (HLA Class II; P=1.2 × 10(-8)) and chrXq22-q23 (AGTR2/SLC6A14; P=1.8 × 10(-9)) contain genes of high biological relevance to CF pathophysiology. The fifth locus, on chr11p12-p13 (EHF/APIP; P=1.9 × 10(-10)), was previously shown to be associated with lung disease. These results provide new insights into potential targets for modulating lung disease severity in CF.

  3. Application of gene network analysis techniques identifies AXIN1/PDIA2 and endoglin haplotypes associated with bicuspid aortic valve.

    Directory of Open Access Journals (Sweden)

    Eric C Wooten

    Full Text Available Bicuspid Aortic Valve (BAV is a highly heritable congenital heart defect. The low frequency of BAV (1% of general population limits our ability to perform genome-wide association studies. We present the application of four a priori SNP selection techniques, reducing the multiple-testing penalty by restricting analysis to SNPs relevant to BAV in a genome-wide SNP dataset from a cohort of 68 BAV probands and 830 control subjects. Two knowledge-based approaches, CANDID and STRING, were used to systematically identify BAV genes, and their SNPs, from the published literature, microarray expression studies and a genome scan. We additionally tested Functionally Interpolating SNPs (fitSNPs present on the array; the fourth consisted of SNPs selected by Random Forests, a machine learning approach. These approaches reduced the multiple testing penalty by lowering the fraction of the genome probed to 0.19% of the total, while increasing the likelihood of studying SNPs within relevant BAV genes and pathways. Three loci were identified by CANDID, STRING, and fitSNPS. A haplotype within the AXIN1-PDIA2 locus (p-value of 2.926x10(-06 and a haplotype within the Endoglin gene (p-value of 5.881x10(-04 were found to be strongly associated with BAV. The Random Forests approach identified a SNP on chromosome 3 in association with BAV (p-value 5.061x10(-06. The results presented here support an important role for genetic variants in BAV and provide support for additional studies in well-powered cohorts. Further, these studies demonstrate that leveraging existing expression and genomic data in the context of GWAS studies can identify biologically relevant genes and pathways associated with a congenital heart defect.

  4. Genome-Wide DNA Copy Number Analysis of Acute Lymphoblastic Leukemia Identifies New Genetic Markers Associated with Clinical Outcome.

    Directory of Open Access Journals (Sweden)

    Maribel Forero-Castro

    Full Text Available Identifying additional genetic alterations associated with poor prognosis in acute lymphoblastic leukemia (ALL is still a challenge.To characterize the presence of additional DNA copy number alterations (CNAs in children and adults with ALL by whole-genome oligonucleotide array (aCGH analysis, and to identify their associations with clinical features and outcome. Array-CGH was carried out in 265 newly diagnosed ALLs (142 children and 123 adults. The NimbleGen CGH 12x135K array (Roche was used to analyze genetic gains and losses. CNAs were analyzed with GISTIC and aCGHweb software. Clinical and biological variables were analyzed. Three of the patients showed chromothripsis (cth6, cth14q and cth15q. CNAs were associated with age, phenotype, genetic subtype and overall survival (OS. In the whole cohort of children, the losses on 14q32.33 (p = 0.019 and 15q13.2 (p = 0.04 were related to shorter OS. In the group of children without good- or poor-risk cytogenetics, the gain on 1p36.11 was a prognostic marker independently associated with shorter OS. In adults, the gains on 19q13.2 (p = 0.001 and Xp21.1 (p = 0.029, and the loss of 17p (p = 0.014 were independent markers of poor prognosis with respect to OS. In summary, CNAs are frequent in ALL and are associated with clinical parameters and survival. Genome-wide DNA copy number analysis allows the identification of genetic markers that predict clinical outcome, suggesting that detection of these genetic lesions will be useful in the management of patients newly diagnosed with ALL.

  5. Genome-wide Analysis Identifies Novel Loci Associated with Ovarian Cancer Outcomes: Findings from the Ovarian Cancer Association Consortium

    NARCIS (Netherlands)

    Johnatty, S.E.; Tyrer, J.P.; Kar, S.; Beesley, J.; Lu, Y.; Gao, B.; Fasching, P.A.; Hein, A.; Ekici, A.B.; Beckmann, M.W.; Lambrechts, D.; Nieuwenhuysen, E. Van; Vergote, I.; Lambrechts, S.; Rossing, M.A.; Doherty, J.A.; Chang-Claude, J.; Modugno, F.; Ness, R.B.; Moysich, K.B.; Levine, D.A.; Kiemeney, L.A.L.M.; Massuger, L.F.A.G.; Gronwald, J.; Lubinski, J.; Jakubowska, A.; Cybulski, C.; Brinton, L.; Lissowska, J.; Wentzensen, N.; Song, H.; Rhenius, V.; Campbell, I.; Eccles, D.; Sieh, W.; Whittemore, A.S.; McGuire, V.; Rothstein, J.H.; Sutphen, R.; Anton-Culver, H.; Ziogas, A.; Gayther, S.A.; Gentry-Maharaj, A.; Menon, U.; Ramus, S.J.; Pearce, C.L.; Pike, M.C.; Stram, D.O.; Wu, A.H.; Kupryjanczyk, J.; Dansonka-Mieszkowska, A.; Rzepecka, I.K.; Spiewankiewicz, B.; Goodman, M.T.; Wilkens, L.R.; Carney, M.E.; Thompson, P.J.; Heitz, F.; Bois, A. du; Schwaab, I.; Harter, P.; Pisterer, J.; Hillemanns, P.; Karlan, B.Y.; Walsh, C.; Lester, J.; Orsulic, S.; Winham, S.J.; Earp, M.; Larson, M.C.; Fogarty, Z.C.; Hogdall, E.; Jensen, A.; Kjaer, S.K.; Fridley, B.L.; Cunningham, J.M.; Vierkant, R.A.; Schildkraut, J.M.; Iversen, E.S.; Terry, K.L.; Cramer, D.W; Bandera, E.V.; Orlow, I.; Pejovic, T.; Bean, Y.; Hogdall, C.; Lundvall, L.; McNeish, I.; Paul, J.; Carty, K.; Siddiqui, N.; Glasspool, R.; Sellers, T.; Kennedy, C.; Chiew, Y.E.; Berchuck, A.; MacGregor, S.; Pharoah, P.D.; Goode, E.L.; Defazio, A.

    2015-01-01

    PURPOSE: Chemotherapy resistance remains a major challenge in the treatment of ovarian cancer. We hypothesize that germline polymorphisms might be associated with clinical outcome. EXPERIMENTAL DESIGN: We analyzed approximately 2.8 million genotyped and imputed SNPs from the iCOGS experiment for pro

  6. Meta-analysis of Genome Wide Association Studies Identifies Genetic Markers of Late Toxicity Following Radiotherapy for Prostate Cancer

    Directory of Open Access Journals (Sweden)

    Sarah L. Kerns

    2016-08-01

    Full Text Available Nearly 50% of cancer patients undergo radiotherapy. Late radiotherapy toxicity affects quality-of-life in long-term cancer survivors and risk of side-effects in a minority limits doses prescribed to the majority of patients. Development of a test predicting risk of toxicity could benefit many cancer patients. We aimed to meta-analyze individual level data from four genome-wide association studies from prostate cancer radiotherapy cohorts including 1564 men to identify genetic markers of toxicity. Prospectively assessed two-year toxicity endpoints (urinary frequency, decreased urine stream, rectal bleeding, overall toxicity and single nucleotide polymorphism (SNP associations were tested using multivariable regression, adjusting for clinical and patient-related risk factors. A fixed-effects meta-analysis identified two SNPs: rs17599026 on 5q31.2 with urinary frequency (odds ratio [OR] 3.12, 95% confidence interval [CI] 2.08–4.69, p-value 4.16 × 10−8 and rs7720298 on 5p15.2 with decreased urine stream (OR 2.71, 95% CI 1.90–3.86, p-value = 3.21 × 10−8. These SNPs lie within genes that are expressed in tissues adversely affected by pelvic radiotherapy including bladder, kidney, rectum and small intestine. The results show that heterogeneous radiotherapy cohorts can be combined to identify new moderate-penetrance genetic variants associated with radiotherapy toxicity. The work provides a basis for larger collaborative efforts to identify enough variants for a future test involving polygenic risk profiling.

  7. Meta-analysis of Genome Wide Association Studies Identifies Genetic Markers of Late Toxicity Following Radiotherapy for Prostate Cancer.

    Science.gov (United States)

    Kerns, Sarah L; Dorling, Leila; Fachal, Laura; Bentzen, Søren; Pharoah, Paul D P; Barnes, Daniel R; Gómez-Caamaño, Antonio; Carballo, Ana M; Dearnaley, David P; Peleteiro, Paula; Gulliford, Sarah L; Hall, Emma; Michailidou, Kyriaki; Carracedo, Ángel; Sia, Michael; Stock, Richard; Stone, Nelson N; Sydes, Matthew R; Tyrer, Jonathan P; Ahmed, Shahana; Parliament, Matthew; Ostrer, Harry; Rosenstein, Barry S; Vega, Ana; Burnet, Neil G; Dunning, Alison M; Barnett, Gillian C; West, Catharine M L

    2016-08-01

    Nearly 50% of cancer patients undergo radiotherapy. Late radiotherapy toxicity affects quality-of-life in long-term cancer survivors and risk of side-effects in a minority limits doses prescribed to the majority of patients. Development of a test predicting risk of toxicity could benefit many cancer patients. We aimed to meta-analyze individual level data from four genome-wide association studies from prostate cancer radiotherapy cohorts including 1564 men to identify genetic markers of toxicity. Prospectively assessed two-year toxicity endpoints (urinary frequency, decreased urine stream, rectal bleeding, overall toxicity) and single nucleotide polymorphism (SNP) associations were tested using multivariable regression, adjusting for clinical and patient-related risk factors. A fixed-effects meta-analysis identified two SNPs: rs17599026 on 5q31.2 with urinary frequency (odds ratio [OR] 3.12, 95% confidence interval [CI] 2.08-4.69, p-value 4.16×10(-8)) and rs7720298 on 5p15.2 with decreased urine stream (OR 2.71, 95% CI 1.90-3.86, p-value=3.21×10(-8)). These SNPs lie within genes that are expressed in tissues adversely affected by pelvic radiotherapy including bladder, kidney, rectum and small intestine. The results show that heterogeneous radiotherapy cohorts can be combined to identify new moderate-penetrance genetic variants associated with radiotherapy toxicity. The work provides a basis for larger collaborative efforts to identify enough variants for a future test involving polygenic risk profiling.

  8. Meta-analysis of genome-wide association studies identifies six new Loci for serum calcium concentrations.

    Directory of Open Access Journals (Sweden)

    Conall M O'Seaghdha

    Full Text Available Calcium is vital to the normal functioning of multiple organ systems and its serum concentration is tightly regulated. Apart from CASR, the genes associated with serum calcium are largely unknown. We conducted a genome-wide association meta-analysis of 39,400 individuals from 17 population-based cohorts and investigated the 14 most strongly associated loci in ≤ 21,679 additional individuals. Seven loci (six new regions in association with serum calcium were identified and replicated. Rs1570669 near CYP24A1 (P = 9.1E-12, rs10491003 upstream of GATA3 (P = 4.8E-09 and rs7481584 in CARS (P = 1.2E-10 implicate regions involved in Mendelian calcemic disorders: Rs1550532 in DGKD (P = 8.2E-11, also associated with bone density, and rs7336933 near DGKH/KIAA0564 (P = 9.1E-10 are near genes that encode distinct isoforms of diacylglycerol kinase. Rs780094 is in GCKR. We characterized the expression of these genes in gut, kidney, and bone, and demonstrate modulation of gene expression in bone in response to dietary calcium in mice. Our results shed new light on the genetics of calcium homeostasis.

  9. Thirty new loci for age at menarche identified by a meta-analysis of genome-wide association studies.

    Science.gov (United States)

    Elks, Cathy E; Perry, John R B; Sulem, Patrick; Chasman, Daniel I; Franceschini, Nora; He, Chunyan; Lunetta, Kathryn L; Visser, Jenny A; Byrne, Enda M; Cousminer, Diana L; Gudbjartsson, Daniel F; Esko, Tõnu; Feenstra, Bjarke; Hottenga, Jouke-Jan; Koller, Daniel L; Kutalik, Zoltán; Lin, Peng; Mangino, Massimo; Marongiu, Mara; McArdle, Patrick F; Smith, Albert V; Stolk, Lisette; van Wingerden, Sophie H; Zhao, Jing Hua; Albrecht, Eva; Corre, Tanguy; Ingelsson, Erik; Hayward, Caroline; Magnusson, Patrik K E; Smith, Erin N; Ulivi, Shelia; Warrington, Nicole M; Zgaga, Lina; Alavere, Helen; Amin, Najaf; Aspelund, Thor; Bandinelli, Stefania; Barroso, Inês; Berenson, Gerald S; Bergmann, Sven; Blackburn, Hannah; Boerwinkle, Eric; Buring, Julie E; Busonero, Fabio; Campbell, Harry; Chanock, Stephen J; Chen, Wei; Cornelis, Marilyn C; Couper, David; Coviello, Andrea D; d'Adamo, Pio; de Faire, Ulf; de Geus, Eco J C; Deloukas, Panos; Döring, Angela; Smith, George Davey; Easton, Douglas F; Eiriksdottir, Gudny; Emilsson, Valur; Eriksson, Johan; Ferrucci, Luigi; Folsom, Aaron R; Foroud, Tatiana; Garcia, Melissa; Gasparini, Paolo; Geller, Frank; Gieger, Christian; Gudnason, Vilmundur; Hall, Per; Hankinson, Susan E; Ferreli, Liana; Heath, Andrew C; Hernandez, Dena G; Hofman, Albert; Hu, Frank B; Illig, Thomas; Järvelin, Marjo-Riitta; Johnson, Andrew D; Karasik, David; Khaw, Kay-Tee; Kiel, Douglas P; Kilpeläinen, Tuomas O; Kolcic, Ivana; Kraft, Peter; Launer, Lenore J; Laven, Joop S E; Li, Shengxu; Liu, Jianjun; Levy, Daniel; Martin, Nicholas G; McArdle, Wendy L; Melbye, Mads; Mooser, Vincent; Murray, Jeffrey C; Murray, Sarah S; Nalls, Michael A; Navarro, Pau; Nelis, Mari; Ness, Andrew R; Northstone, Kate; Oostra, Ben A; Peacock, Munro; Palmer, Lyle J; Palotie, Aarno; Paré, Guillaume; Parker, Alex N; Pedersen, Nancy L; Peltonen, Leena; Pennell, Craig E; Pharoah, Paul; Polasek, Ozren; Plump, Andrew S; Pouta, Anneli; Porcu, Eleonora; Rafnar, Thorunn; Rice, John P; Ring, Susan M; Rivadeneira, Fernando; Rudan, Igor; Sala, Cinzia; Salomaa, Veikko; Sanna, Serena; Schlessinger, David; Schork, Nicholas J; Scuteri, Angelo; Segrè, Ayellet V; Shuldiner, Alan R; Soranzo, Nicole; Sovio, Ulla; Srinivasan, Sathanur R; Strachan, David P; Tammesoo, Mar-Liis; Tikkanen, Emmi; Toniolo, Daniela; Tsui, Kim; Tryggvadottir, Laufey; Tyrer, Jonathon; Uda, Manuela; van Dam, Rob M; van Meurs, Joyce B J; Vollenweider, Peter; Waeber, Gerard; Wareham, Nicholas J; Waterworth, Dawn M; Weedon, Michael N; Wichmann, H Erich; Willemsen, Gonneke; Wilson, James F; Wright, Alan F; Young, Lauren; Zhai, Guangju; Zhuang, Wei Vivian; Bierut, Laura J; Boomsma, Dorret I; Boyd, Heather A; Crisponi, Laura; Demerath, Ellen W; van Duijn, Cornelia M; Econs, Michael J; Harris, Tamara B; Hunter, David J; Loos, Ruth J F; Metspalu, Andres; Montgomery, Grant W; Ridker, Paul M; Spector, Tim D; Streeten, Elizabeth A; Stefansson, Kari; Thorsteinsdottir, Unnur; Uitterlinden, André G; Widen, Elisabeth; Murabito, Joanne M; Ong, Ken K; Murray, Anna

    2010-12-01

    To identify loci for age at menarche, we performed a meta-analysis of 32 genome-wide association studies in 87,802 women of European descent, with replication in up to 14,731 women. In addition to the known loci at LIN28B (P = 5.4 × 10⁻⁶⁰) and 9q31.2 (P = 2.2 × 10⁻³³), we identified 30 new menarche loci (all P < 5 × 10⁻⁸) and found suggestive evidence for a further 10 loci (P < 1.9 × 10⁻⁶). The new loci included four previously associated with body mass index (in or near FTO, SEC16B, TRA2B and TMEM18), three in or near other genes implicated in energy homeostasis (BSX, CRTC1 and MCHR2) and three in or near genes implicated in hormonal regulation (INHBA, PCSK2 and RXRG). Ingenuity and gene-set enrichment pathway analyses identified coenzyme A and fatty acid biosynthesis as biological processes related to menarche timing.

  10. Twenty bone-mineral-density loci identified by large-scale meta-analysis of genome-wide association studies.

    Science.gov (United States)

    Rivadeneira, Fernando; Styrkársdottir, Unnur; Estrada, Karol; Halldórsson, Bjarni V; Hsu, Yi-Hsiang; Richards, J Brent; Zillikens, M Carola; Kavvoura, Fotini K; Amin, Najaf; Aulchenko, Yurii S; Cupples, L Adrienne; Deloukas, Panagiotis; Demissie, Serkalem; Grundberg, Elin; Hofman, Albert; Kong, Augustine; Karasik, David; van Meurs, Joyce B; Oostra, Ben; Pastinen, Tomi; Pols, Huibert A P; Sigurdsson, Gunnar; Soranzo, Nicole; Thorleifsson, Gudmar; Thorsteinsdottir, Unnur; Williams, Frances M K; Wilson, Scott G; Zhou, Yanhua; Ralston, Stuart H; van Duijn, Cornelia M; Spector, Timothy; Kiel, Douglas P; Stefansson, Kari; Ioannidis, John P A; Uitterlinden, André G

    2009-11-01

    Bone mineral density (BMD) is a heritable complex trait used in the clinical diagnosis of osteoporosis and the assessment of fracture risk. We performed meta-analysis of five genome-wide association studies of femoral neck and lumbar spine BMD in 19,195 subjects of Northern European descent. We identified 20 BMD loci that reached genome-wide significance (GWS; P GPR177), 2p21 (SPTBN1), 3p22 (CTNNB1), 4q21.1 (MEPE), 5q14 (MEF2C), 7p14 (STARD3NL), 7q21.3 (FLJ42280), 11p11.2 (LRP4, ARHGAP1, F2), 11p14.1 (DCDC5), 11p15 (SOX6), 16q24 (FOXL1), 17q21 (HDAC5) and 17q12 (CRHR1). The meta-analysis also confirmed at GWS level seven known BMD loci on 1p36 (ZBTB40), 6q25 (ESR1), 8q24 (TNFRSF11B), 11q13.4 (LRP5), 12q13 (SP7), 13q14 (TNFSF11) and 18q21 (TNFRSF11A). The many SNPs associated with BMD map to genes in signaling pathways with relevance to bone metabolism and highlight the complex genetic architecture that underlies osteoporosis and variation in BMD.

  11. A Bayesian Approach for Analysis of Whole-Genome Bisulphite Sequencing Data Identifies Disease-Associated Changes in DNA Methylation.

    Science.gov (United States)

    Rackham, Owen J L; Langley, Sarah R; Oates, Thomas; Vradi, Eleni; Harmston, Nathan; Srivastava, Prashant K; Behmoaras, Jacques; Dellaportas, Petros; Bottolo, Leonardo; Petretto, Enrico

    2017-02-17

    DNA methylation is a key epigenetic modification involved in gene regulation whose contribution to disease susceptibility remains to be fully understood. Here, we present a novel Bayesian smoothing approach (called ABBA) to detect differentially methylated regions (DMRs) from whole-genome bisulphite sequencing (WGBS). We also show how this approach can be leveraged to identify disease-associated changes in DNA methylation, suggesting mechanisms through which these alterations might affect disease. From a data modeling perspective, ABBA has the distinctive feature of automatically adapting to different correlation structures in CpG methylation levels across the genome whilst taking into account the distance between CpG sites as a covariate. Our simulation study shows that ABBA has greater power to detect DMRs than existing methods, providing an accurate identification of DMRs in the large majority of simulated cases. To empirically demonstrate the method's efficacy in generating biological hypotheses, we performed WGBS of primary macrophages derived from an experimental rat system of glomerulonephritis and used ABBA to identify >1,000 disease-associated DMRs. Investigation of these DMRs revealed differential DNA methylation localized to a 600bp region in the promoter of the Ifitm3 gene. This was confirmed by ChIP-seq and RNA-seq analyses, showing differential transcription factor binding at the Ifitm3 promoter by JunD (an established determinant of glomerulonephritis) and a consistent change in Ifitm3 expression. Our ABBA analysis allowed us to propose a new role for Ifitm3 in the pathogenesis of glomerulonephritis via a mechanism involving promoter hypermethylation that is associated with Ifitm3 repression in the rat strain susceptible to glomerulonephritis.

  12. Identifying putative breast cancer-associated long intergenic non-coding RNA loci by high density SNP array analysis

    Directory of Open Access Journals (Sweden)

    Zhengyu eJiang

    2012-12-01

    Full Text Available Recent high-throughput transcript discoveries have yielded a growing recognition of long intergenic non-coding RNAs (lincRNAs, a class of arbitrarily defined transcripts (>200 nt that are primarily produced from the intergenic space. LincRNAs have been increasingly acknowledged for their expressional dynamics and likely functional associations with cancers. However, differential gene dosage of lincRNA genes between cancer genomes is less studied. By using the high-density Human Omni5-Quad BeadChips (Illumina, we investigated genomic copy number aberrations in a set of seven tumor-normal paired primary human mammary epithelial cells (HMECs established from patients with invasive ductal carcinoma. This Beadchip platform includes a total of 2,435,915 SNP loci dispersed at an average interval of ~700 nt throughout the intergenic region of the human genome. We mapped annotated or putative lincRNA genes to a subset of 332,539 SNP loci, which were included in our analysis for lincRNA-associated copy number variations (CNV. We have identified 122 lincRNAs, which were affected by somatic CNV with overlapped aberrations ranging from 0.14% to 100% in length. LincRNA-associated aberrations were detected predominantly with copy number losses and preferential clustering to the ends of chromosomes. Interestingly, lincRNA genes appear to be much less susceptible to CNV in comparison to both protein-coding and intergenic regions (CNV affected segments in percentage: 1.8%, 37.5% and 60.6%, respectively. In summary, our study established a novel approach utilizing high-resolution SNP array to identify lincRNA candidates, which could functionally link to tumorigenesis, and provide new strategies for the diagnosis and treatment of breast cancer.

  13. Meta-analysis of genome-wide association studies in East Asian-ancestry populations identifies four new loci for body mass index

    OpenAIRE

    Wen, Wanqing; Zheng,Wei; Okada, Yukinori; Takeuchi, Fumihiko; Tabara, Yasuharu; Hwang, Joo-Yeon; Dorajoo, Rajkumar; Li, Huaixing; Tsai, Fuu-Jen; Yang, Xiaobo; He, Jiang; Wu, Ying; He, Meian; Zhang, Yi; Liang, Jun

    2014-01-01

    Recent genetic association studies have identified 55 genetic loci associated with obesity or body mass index (BMI). The vast majority, 51 loci, however, were identified in European-ancestry populations. We conducted a meta-analysis of associations between BMI and ∼2.5 million genotyped or imputed single nucleotide polymorphisms among 86 757 individuals of Asian ancestry, followed by in silico and de novo replication among 7488–47 352 additional Asian-ancestry individuals. We identified four ...

  14. A Genome-wide Association Analysis of a Broad Psychosis Phenotype Identifies Three Loci for Further Investigation

    NARCIS (Netherlands)

    Bramon, Elvira; Pirinen, Matti; Strange, Amy; Lin, Kuang; Freeman, Colin; Bellenguez, Celine; Su, Zhan; Band, Gavin; Pearson, Richard; Vukcevic, Damjan; Langford, Cordelia; Deloukas, Panos; Hunt, Sarah; Gray, Emma; Dronov, Serge; Potter, Simon C.; Tashakkori-Ghanbaria, Avazeh; Edkins, Sarah; Bumpstead, Suzannah J.; Arranz, Maria J.; Bakker, Steven; Bender, Stephan; Bruggeman, Richard; Cahn, Wiepke; Chandler, David; Collier, David A.; Crespo-Facorro, Benedicto; Dazzan, Paola; de Haan, Lieuwe; di Forti, Marta; Dragovic, Milan; Giegling, Ina; Hall, Jeremy; Iyegbe, Conrad; Jablensky, Assen; Kahn, Rene S.; Kalaydjieva, Luba; Kravariti, Eugenia; Lawrie, Stephen; Lins-Zen, Don H.; Mata, Ignacio; McDonald, Colm; McIntosh, Andrew; Myin-Germeys, Inez; Ophoff, Roel A.; Pariante, Carmine M.; Paunio, Tiina; Picchioni, Marco; Ripke, Stephan; Rujescu, Dan; Sauer, Heinrich; Shaikh, Madiha; Sussmann, Jessika; Suvisaari, Jaana; Tosato, Sarah; Toulopoulou, Timothea; Van Os, Jim; Walshe, Muriel; Weisbrod, Matthias; Whalley, Heather; Wiersma, Durk; Blackwell, Jenefer M.; Brown, Matthew A.; Casas, Juan P.; Corvin, Aiden; Duncanson, Audrey; Jankowski, Janusz A. Z.; Markus, Hugh S.; Mathew, Christopher G.; Palmer, Colin N. A.; Plomin, Robert; Rautanen, Anna; Sawcer, Stephen J.; Trembath, Richard C.; Wood, Nicholas W.; Barroso, Ines; Peltonen, Leena; Lewis, Cathryn M.; Murray, Robin M.; Donnelly, Peter; Powell, John; Spencer, Chris C. A.

    2014-01-01

    Background: Genome-wide association studies (GWAS) have identified several loci associated with schizophrenia and/or bipolar disorder. We performed a GWAS of psychosis as a broad syndrome rather than within specific diagnostic categories. Methods: 1239 cases with schizophrenia, schizoaffective disor

  15. Genome wide association analysis of a founder population identified TAF3 as a gene for MCHC in humans.

    Directory of Open Access Journals (Sweden)

    Giorgio Pistis

    Full Text Available The red blood cell related traits are highly heritable but their genetics are poorly defined. Only 5-10% of the total observed variance is explained by the genetic loci found to date, suggesting that additional loci should be searched using approaches alternative to large meta analysis. GWAS (Genome Wide Association Study for red blood cell traits in a founder population cohort from Northern Italy identified a new locus for mean corpuscular hemoglobin concentration (MCHC in the TAF3 gene. The association was replicated in two cohorts (rs1887582, P = 4.25E-09. TAF3 encodes a transcription cofactor that participates in core promoter recognition complex, and is involved in zebrafish and mouse erythropoiesis. We show here that TAF3 is required for transcription of the SPTA1 gene, encoding alpha spectrin, one of the proteins that link the plasma membrane to the actin cytoskeleton. Mutations in SPTA1 are responsible for hereditary spherocytosis, a monogenic disorder of MCHC, as well as for the normal MCHC level. Based on our results, we propose that TAF3 is required for normal erythropoiesis in human and that it might have a role in controlling the ratio between hemoglobin (Hb and cell volume and in the dynamics of RBC maturation in healthy individuals. Finally, TAF3 represents a potential candidate or a modifier gene for disorders of red cell membrane.

  16. Using Ambystoma mexicanum (Mexican axolotl) embryos, chemical genetics, and microarray analysis to identify signaling pathways associated with tissue regeneration.

    Science.gov (United States)

    Ponomareva, Larissa V; Athippozhy, Antony; Thorson, Jon S; Voss, S Randal

    2015-12-01

    Amphibian vertebrates are important models in regenerative biology because they present exceptional regenerative capabilities throughout life. However, it takes considerable effort to rear amphibians to juvenile and adult stages for regeneration studies, and the relatively large sizes that frogs and salamanders achieve during development make them difficult to use in chemical screens. Here, we introduce a new tail regeneration model using late stage Mexican axolotl embryos. We show that axolotl embryos completely regenerate amputated tails in 7days before they exhaust their yolk supply and begin to feed. Further, we show that axolotl embryos can be efficiently reared in microtiter plates to achieve moderate throughput screening of soluble chemicals to investigate toxicity and identify molecules that alter regenerative outcome. As proof of principle, we identified integration 1 / wingless (Wnt), transforming growth factor beta (Tgf-β), and fibroblast growth factor (Fgf) pathway antagonists that completely block tail regeneration and additional chemicals that significantly affected tail outgrowth. Furthermore, we used microarray analysis to show that inhibition of Wnt signaling broadly affects transcription of genes associated with Wnt, Fgf, Tgf-β, epidermal growth factor (Egf), Notch, nerve growth factor (Ngf), homeotic gene (Hox), rat sarcoma/mitogen-activated protein kinase (Ras/Mapk), myelocytomatosis viral oncogene (Myc), tumor protein 53 (p53), and retinoic acid (RA) pathways. Punctuated changes in the expression of genes known to regulate vertebrate development were observed; this suggests the tail regeneration transcriptional program is hierarchically structured and temporally ordered. Our study establishes the axolotl as a chemical screening model to investigate signaling pathways associated with tissue regeneration.

  17. AMD-associated genes encoding stress-activated MAPK pathway constituents are identified by interval-based enrichment analysis.

    Directory of Open Access Journals (Sweden)

    John Paul SanGiovanni

    Full Text Available PURPOSE: To determine whether common DNA sequence variants within groups of genes encoding elements of stress-activated mitogen-activated protein kinase (MAPK signaling pathways are, in aggregate, associated with advanced AMD (AAMD. METHODS: We used meta-regression and exact testing methods to identify AAMD-associated SNPs in 1177 people with AAMD and 1024 AMD-free elderly peers from 3 large-scale genotyping projects on the molecular genetics of AMD. SNPs spanning independent AAMD-associated genomic intervals were examined with a multi-locus-testing method (INRICH for enrichment within five sets of genes encoding constituents of stress-activated MAPK signaling cascades. RESULTS: Four-of-five pathway gene sets showed enrichment with AAMD-associated SNPs; findings persisted after adjustment for multiple testing in two. Strongest enrichment signals (P = 0.006 existed in a c-Jun N-terminal kinase (JNK/MAPK cascade (Science Signaling, STKE CMP_10827. In this pathway, seven independent AAMD-associated regions were resident in 6 of 25 genes examined. These included sequence variants in: 1 three MAP kinase kinase kinases (MAP3K4, MAP3K5, MAP3K9 that phosphorylate and activate the MAP kinase kinases MAP2K4 and MAP2K7 (molecules that phosphorylate threonine and tyrosine residues within the activation loop of JNK; 2 a target of MAP2K7 (JNK3A1 that activates complexes involved in transcriptional regulation of stress related genes influencing cell proliferation, apoptosis, motility, metabolism and DNA repair; and 3 NR2C2, a transcription factor activated by JNK1A1 (a drugable molecule influencing retinal cell viability in model systems. We also observed AAMD-related sequence variants resident in genes encoding PPP3CA (a drugable molecule that inactivates MAP3K5, and two genes (TGFB2, TGFBR2 encoding factors involved in MAPK sensing of growth factors/cytokines. CONCLUSIONS: Linkage disequilibrium (LD-independent genomic enrichment analysis yielded

  18. Transcriptome analysis and its application in identifying genes associated with fruiting body development in basidiomycete Hypsizygus marmoreus.

    Directory of Open Access Journals (Sweden)

    Jinjing Zhang

    Full Text Available To elucidate the mechanisms of fruit body development in H. marmoreus, a total of 43609521 high-quality RNA-seq reads were obtained from four developmental stages, including the mycelial knot (H-M, mycelial pigmentation (H-V, primordium (H-P and fruiting body (H-F stages. These reads were assembled to obtain 40568 unigenes with an average length of 1074 bp. A total of 26800 (66.06% unigenes were annotated and analyzed with the Kyoto Encyclopedia of Genes and Genomes (KEGG, Gene Ontology (GO, and Eukaryotic Orthologous Group (KOG databases. Differentially expressed genes (DEGs from the four transcriptomes were analyzed. The KEGG enrichment analysis revealed that the mycelium pigmentation stage was associated with the MAPK, cAMP, and blue light signal transduction pathways. In addition, expression of the two-component system members changed with the transition from H-M to H-V, suggesting that light affected the expression of genes related to fruit body initiation in H. marmoreus. During the transition from H-V to H-P, stress signals associated with MAPK, cAMP and ROS signals might be the most important inducers. Our data suggested that nitrogen starvation might be one of the most important factors in promoting fruit body maturation, and nitrogen metabolism and mTOR signaling pathway were associated with this process. In addition, 30 genes of interest were analyzed by quantitative real-time PCR to verify their expression profiles at the four developmental stages. This study advances our understanding of the molecular mechanism of fruiting body development in H. marmoreus by identifying a wealth of new genes that may play important roles in mushroom morphogenesis.

  19. Factor analysis is more appropriate to identify overall dietary patterns associated with diabetes when compared with treelet transform analysis

    NARCIS (Netherlands)

    Schoenaker, D.A.J.M.; Dobson, A.; Soedamah-Muthu, S.S.; Mishra, G.D.

    2013-01-01

    Treelet transform (TT) is a proposed alternative to factor analysis for deriving dietary patterns. Before applying this method to nutrition data, further analyses are required to assess its validity in nutritional epidemiology. We aimed to compare dietary patterns from factor analysis and TT and the

  20. Meta-analysis of genome-wide association studies in >80 000 subjects identifies multiple loci for C-reactive protein levels

    NARCIS (Netherlands)

    Dehghan, Abbas; Dupuis, Josée; Barbalic, Maja; Bis, Joshua C; Eiriksdottir, Gudny; Lu, Chen; Pellikka, Niina; Wallaschofski, Henri; Kettunen, Johannes; Henneman, Peter; Baumert, Jens; Strachan, David P; Fuchsberger, Christian; Vitart, Veronique; Wilson, James F; Paré, Guillaume; Naitza, Silvia; Rudock, Megan E; Surakka, Ida; de Geus, Eco J C; Alizadeh, Behrooz Z; Guralnik, Jack; Shuldiner, Alan; Tanaka, Toshiko; Zee, Robert Y L; Schnabel, Renate B; Nambi, Vijay; Kavousi, Maryam; Ripatti, Samuli; Nauck, Matthias; Smith, Nicholas L; Smith, Albert V; Sundvall, Jouko; Scheet, Paul; Liu, Yongmei; Ruokonen, Aimo; Rose, Lynda M; Larson, Martin G; Hoogeveen, Ron C; Freimer, Nelson B; Teumer, Alexander; Tracy, Russell P; Launer, Lenore J; Buring, Julie E; Yamamoto, Jennifer F; Folsom, Aaron R; Sijbrands, Eric J G; Pankow, James; Elliott, Paul; Keaney, John F; Sun, Wei; Sarin, Antti-Pekka; Fontes, João D; Badola, Sunita; Astor, Brad C; Hofman, Albert; Pouta, Anneli; Werdan, Karl; Greiser, Karin H; Kuss, Oliver; Meyer zu Schwabedissen, Henriette E; Thiery, Joachim; Jamshidi, Yalda; Nolte, Ilja M; Soranzo, Nicole; Spector, Timothy D; Völzke, Henry; Parker, Alexander N; Aspelund, Thor; Bates, David; Young, Lauren; Tsui, Kim; Siscovick, David S; Guo, Xiuqing; Rotter, Jerome I; Uda, Manuela; Schlessinger, David; Rudan, Igor; Hicks, Andrew A; Penninx, Brenda W; Thorand, Barbara; Gieger, Christian; Coresh, Joe; Willemsen, Gonneke; Harris, Tamara B; Uitterlinden, Andre G; Järvelin, Marjo-Riitta; Rice, Kenneth; Radke, Dörte; Salomaa, Veikko; Willems van Dijk, Ko; Boerwinkle, Eric; Vasan, Ramachandran S; Ferrucci, Luigi; Gibson, Quince D; Bandinelli, Stefania; Snieder, Harold; Boomsma, Dorret I; Xiao, Xiangjun; Campbell, Harry; Hayward, Caroline; Pramstaller, Peter P; van Duijn, Cornelia M; Peltonen, Leena; Psaty, Bruce M; Gudnason, Vilmundur; Ridker, Paul M; Homuth, Georg; Koenig, Wolfgang; Ballantyne, Christie M; Witteman, Jacqueline C M; Benjamin, Emelia J; Perola, Markus; Chasman, Daniel I

    2011-01-01

    BACKGROUND: C-reactive protein (CRP) is a heritable marker of chronic inflammation that is strongly associated with cardiovascular disease. We sought to identify genetic variants that are associated with CRP levels. METHODS AND RESULTS: We performed a genome-wide association analysis of CRP in 66 18

  1. Meta-Analysis of Genome-Wide Association Studies in > 80 000 Subjects Identifies Multiple Loci for C-Reactive Protein Levels

    NARCIS (Netherlands)

    Dehghan, Abbas; Dupuis, Josee; Barbalic, Maja; Bis, Joshua C.; Eiriksdottir, Gudny; Lu, Chen; Pellikka, Niina; Wallaschofski, Henri; Kettunen, Johannes; Henneman, Peter; Baumert, Jens; Strachan, David P.; Fuchsberger, Christian; Vitart, Veronique; Wilson, James F.; Pare, Guillaume; Naitza, Silvia; Rudock, Megan E.; Surakka, Ida; de Geus, Eco J. C.; Alizadeh, Behrooz Z.; Guralnik, Jack; Shuldiner, Alan; Tanaka, Toshiko; Zee, Robert Y. L.; Schnabel, Renate B.; Nambi, Vijay; Kavousi, Maryam; Ripatti, Samuli; Nauck, Matthias; Smith, Nicholas L.; Smith, Albert V.; Sundvall, Jouko; Scheet, Paul; Liu, Yongmei; Ruokonen, Aimo; Rose, Lynda M.; Larson, Martin G.; Hoogeveen, Ron C.; Freimer, Nelson B.; Teumer, Alexander; Tracy, Russell P.; Launer, Lenore J.; Buring, Julie E.; Yamamoto, Jennifer F.; Folsom, Aaron R.; Sijbrands, Eric J. G.; Pankow, James; Elliott, Paul; Keaney, John F.; Sun, Wei; Sarin, Antti-Pekka; Fontes, Joao D.; Badola, Sunita; Astor, Brad C.; Hofman, Albert; Pouta, Anneli; Werdan, Karl; Greiser, Karin H.; Kuss, Oliver; Schwabedissen, Henriette E. Meyer Zu; Thiery, Joachim; Jamshidi, Yalda; Nolte, Ilja M.; Soranzo, Nicole; Spector, Timothy D.; Voelzke, Henry; Parker, Alexander N.; Aspelund, Thor; Bates, David; Young, Lauren; Tsui, Kim; Siscovick, David S.; Guo, Xiuqing; Rotter, Jerome I.; Uda, Manuela; Schlessinger, David; Rudan, Igor; Hicks, Andrew A.; Penninx, Brenda W.; Thorand, Barbara; Gieger, Christian; Coresh, Joe; Willemsen, Gonneke; Harris, Tamara B.; Uitterlinden, Andre G.; Jaervelin, Marjo-Riitta; Rice, Kenneth; Radke, Doerte; Salomaa, Veikko; van Dijk, Ko Willems; Boerwinkle, Eric; Vasan, Ramachandran S.; Ferrucci, Luigi; Gibson, Quince D.; Bandinelli, Stefania; Snieder, Harold; Boomsma, Dorret I.; Xiao, Xiangjun; Campbell, Harry; Hayward, Caroline; Pramstaller, Peter P.; van Duijn, Cornelia M.; Peltonen, Leena; Psaty, Bruce M.; Gudnason, Vilmundur; Ridker, Paul M.; Homuth, Georg; Koenig, Wolfgang; Ballantyne, Christie M.; Witteman, Jacqueline C. M.; Benjamin, Emelia J.; Perola, Markus; Chasman, Daniel I.

    2011-01-01

    Background-C-reactive protein (CRP) is a heritable marker of chronic inflammation that is strongly associated with cardiovascular disease. We sought to identify genetic variants that are associated with CRP levels. Methods and Results-We performed a genome-wide association analysis of CRP in 66 185

  2. Meta-analysis of genome-wide association studies in >80 000 subjects identifies multiple loci for C-reactive protein levels

    NARCIS (Netherlands)

    Dehghan, Abbas; Dupuis, Josée; Barbalic, Maja; Bis, Joshua C.; Eiriksdottir, Gudny; Lu, Chen; Pellikka, Niina; Wallaschofski, Henri; Kettunen, Johannes; Henneman, Peter; Baumert, Jens; Strachan, David P.; Fuchsberger, Christian; Vitart, Veronique; Wilson, James F.; Paré, Guillaume; Naitza, Silvia; Rudock, Megan E.; Surakka, Ida; De Geus, Eco J. C.; Alizadeh, Behrooz Z.; Guralnik, Jack; Shuldiner, Alan; Tanaka, Toshiko; Zee, Robert Y. L.; Schnabel, Renate B.; Nambi, Vijay; Kavousi, Maryam; Ripatti, Samuli; Nauck, Matthias; Smith, Nicholas L.; Smith, Albert V.; Sundvall, Jouko; Scheet, Paul; Liu, Yongmei; Ruokonen, Aimo; Rose, Lynda M.; Larson, Martin G.; Hoogeveen, Ron C.; Freimer, Nelson B.; Teumer, Alexander; Tracy, Russell P.; Launer, Lenore J.; Buring, Julie E.; Yamamoto, Jennifer F.; Folsom, Aaron R.; Sijbrands, Eric J. G.; Pankow, James; Elliott, Paul; Keaney, John F.; Sun, Wei; Sarin, Antti-Pekka; Fontes, João D.; Badola, Sunita; Astor, Brad C.; Hofman, Albert; Pouta, Anneli; Werdan, Karl; Greiser, Karin H.; Kuss, Oliver; Meyer Zu Schwabedissen, Henriette E.; Thiery, Joachim; Jamshidi, Yalda; Nolte, Ilja M.; Soranzo, Nicole; Spector, Timothy D.; Völzke, Henry; Parker, Alexander N.; Aspelund, Thor; Bates, David; Young, Lauren; Tsui, Kim; Siscovick, David S.; Guo, Xiuqing; Rotter, Jerome I.; Uda, Manuela; Schlessinger, David; Rudan, Igor; Hicks, Andrew A.; Penninx, Brenda W.; Thorand, Barbara; Gieger, Christian; Coresh, Joe; Willemsen, Gonneke; Harris, Tamara B.; Uitterlinden, Andre G.; Järvelin, Marjo-Riitta; Rice, Kenneth; Radke, Dörte; Salomaa, Veikko; Willems Van Dijk, Ko; Boerwinkle, Eric; Vasan, Ramachandran S.; Ferrucci, Luigi; Gibson, Quince D.; Bandinelli, Stefania; Snieder, Harold; Boomsma, Dorret I.; Xiao, Xiangjun; Campbell, Harry; Hayward, Caroline; Pramstaller, Peter P.; Van Duijn, Cornelia M.; Peltonen, Leena; Psaty, Bruce M.; Gudnason, Vilmundur; Ridker, Paul M.; Homuth, Georg; Koenig, Wolfgang; Ballantyne, Christie M.; Witteman, Jacqueline C. M.; Benjamin, Emelia J.; Perola, Markus; Chasman, Daniel I.

    2011-01-01

    BACKGROUND - C-reactive protein (CRP) is a heritable marker of chronic inflammation that is strongly associated with cardiovascular disease. We sought to identify genetic variants that are associated with CRP levels. METHODS AND RESULTS - We performed a genome-wide association analysis of CRP in 66

  3. Meta-Analysis of Genome-Wide Association Studies Identifies Six New Loci for Serum Calcium Concentrations

    NARCIS (Netherlands)

    C.M. O'Seaghdha (Conall); H. Wu (Hongsheng); Q. Yang (Qiong); K. Kapur (Karen); I. Guessous (Idris); P. Zuber (Patrick); A. Köttgen (Anna); C. Stoudmann (Candice); A. Teumer (Alexander); Z. Kutalik (Zoltán); M. Mangino (Massimo); A. Dehghan (Abbas); W. Zhang (Weihua); G. Eiriksdottir (Gudny); G. Li (Guo); T. Tanaka (Toshiko); L. Portas (Laura); L.M. Lopez (Lorna); C. Hayward (Caroline); K. Lohman (Kurt); K. Matsuda (Koichi); S. Padmanabhan (Sandosh); D. Firsov (Dmitri); R. Sorice; S. Ulivi (Shelia); A.C. Brockhaus (A. Catharina); M.E. Kleber (Marcus); A. Mahajan (Anubha); F.D.J. Ernst (Florian); V. Gudnason (Vilmundur); L.J. Launer (Lenore); A. Mace (Aurelien); E.A. Boerwinkle (Eric); D.E. Arking (Dan); C. Tanikawa (Chizu); Y. Nakamura (Yusuke); M.J. Brown (Morris); J.-M. Gaspoz (Jean-Michel); J.-M. Theler (Jean-Marc); D.S. Siscovick (David); B.M. Psaty (Bruce); S.M. Bergmann (Sven); P. Vollenweider (Peter); V. Vitart (Veronique); A.F. Wright (Alan); T. Zemunik (Tatijana); M. Boban (Mladen); I. Kolcic (Ivana); P. Navarro (Pau); E.M. Brown (Edward); K. Estrada Gil (Karol); J. Ding (Jinhui); T.B. Harris (Tamara); S. Bandinelli (Stefania); D.G. Hernandez (Dena); A. Singleton (Andrew); S. Girotto; D. Ruggiero; A.P. d' Adamo (Adamo Pio); A. Robino (Antonietta); T. Meitinger (Thomas); C. Meisinger (Christa); G. Davies (Gail); J.M. Starr (John); J.C. Chambers (John); B.O. Boehm (Bernhard); B. Winkelmann; J. Huang (Jian); D. Murgia (Daniela); S.H. Wild (Sarah); H. Campbell (Harry); A.D. Morris (Andrew); O.H. Franco (Oscar); A. Hofman (Albert); A.G. Uitterlinden (André); F. Rivadeneira Ramirez (Fernando); U. Vol̈ker (Uwe); M. Hannemann (Mario); R. Biffar (Reiner); W. Hoffmann (Wolfgang); S.-Y. Shin; P. Lescuyer (Pierre); H. Henry (Hughes); C. Schurmann (Claudia); P. Munroe (Patricia); P. Gasparini (Paolo); N. Pirastu (Nicola); M. Ciullo; C. Gieger (Christian); W. März (Winfried); L. Lind (Lars); T.D. Spector (Timothy); G.D. Smith; I. Rudan (Igor); J.F. Wilson (James); O. Polasek (Ozren); I.J. Deary (Ian); M. Pirastu (Mario); L. Ferrucci (Luigi); Y. Liu (Yongmei); B. Kestenbaum (Bryan); J.S. Kooner (Jaspal); J.C.M. Witteman (Jacqueline); M. Nauck (Matthias); W.H.L. Kao (Wen); H. Wallaschofski (Henri); O. Bonny (Olivier); C. Fox (Craig); M. Bochud (Murielle)

    2013-01-01

    textabstractCalcium is vital to the normal functioning of multiple organ systems and its serum concentration is tightly regulated. Apart from CASR, the genes associated with serum calcium are largely unknown. We conducted a genome-wide association meta-analysis of 39,400 individuals from 17 populati

  4. Meta-analysis of gene-environment-wide association scans accounting for education level identifies additional loci for refractive error.

    Science.gov (United States)

    Fan, Qiao; Verhoeven, Virginie J M; Wojciechowski, Robert; Barathi, Veluchamy A; Hysi, Pirro G; Guggenheim, Jeremy A; Höhn, René; Vitart, Veronique; Khawaja, Anthony P; Yamashiro, Kenji; Hosseini, S Mohsen; Lehtimäki, Terho; Lu, Yi; Haller, Toomas; Xie, Jing; Delcourt, Cécile; Pirastu, Mario; Wedenoja, Juho; Gharahkhani, Puya; Venturini, Cristina; Miyake, Masahiro; Hewitt, Alex W; Guo, Xiaobo; Mazur, Johanna; Huffman, Jenifer E; Williams, Katie M; Polasek, Ozren; Campbell, Harry; Rudan, Igor; Vatavuk, Zoran; Wilson, James F; Joshi, Peter K; McMahon, George; St Pourcain, Beate; Evans, David M; Simpson, Claire L; Schwantes-An, Tae-Hwi; Igo, Robert P; Mirshahi, Alireza; Cougnard-Gregoire, Audrey; Bellenguez, Céline; Blettner, Maria; Raitakari, Olli; Kähönen, Mika; Seppala, Ilkka; Zeller, Tanja; Meitinger, Thomas; Ried, Janina S; Gieger, Christian; Portas, Laura; van Leeuwen, Elisabeth M; Amin, Najaf; Uitterlinden, André G; Rivadeneira, Fernando; Hofman, Albert; Vingerling, Johannes R; Wang, Ya Xing; Wang, Xu; Tai-Hui Boh, Eileen; Ikram, M Kamran; Sabanayagam, Charumathi; Gupta, Preeti; Tan, Vincent; Zhou, Lei; Ho, Candice E H; Lim, Wan'e; Beuerman, Roger W; Siantar, Rosalynn; Tai, E-Shyong; Vithana, Eranga; Mihailov, Evelin; Khor, Chiea-Chuen; Hayward, Caroline; Luben, Robert N; Foster, Paul J; Klein, Barbara E K; Klein, Ronald; Wong, Hoi-Suen; Mitchell, Paul; Metspalu, Andres; Aung, Tin; Young, Terri L; He, Mingguang; Pärssinen, Olavi; van Duijn, Cornelia M; Jin Wang, Jie; Williams, Cathy; Jonas, Jost B; Teo, Yik-Ying; Mackey, David A; Oexle, Konrad; Yoshimura, Nagahisa; Paterson, Andrew D; Pfeiffer, Norbert; Wong, Tien-Yin; Baird, Paul N; Stambolian, Dwight; Wilson, Joan E Bailey; Cheng, Ching-Yu; Hammond, Christopher J; Klaver, Caroline C W; Saw, Seang-Mei; Rahi, Jugnoo S; Korobelnik, Jean-François; Kemp, John P; Timpson, Nicholas J; Smith, George Davey; Craig, Jamie E; Burdon, Kathryn P; Fogarty, Rhys D; Iyengar, Sudha K; Chew, Emily; Janmahasatian, Sarayut; Martin, Nicholas G; MacGregor, Stuart; Xu, Liang; Schache, Maria; Nangia, Vinay; Panda-Jonas, Songhomitra; Wright, Alan F; Fondran, Jeremy R; Lass, Jonathan H; Feng, Sheng; Zhao, Jing Hua; Khaw, Kay-Tee; Wareham, Nick J; Rantanen, Taina; Kaprio, Jaakko; Pang, Chi Pui; Chen, Li Jia; Tam, Pancy O; Jhanji, Vishal; Young, Alvin L; Döring, Angela; Raffel, Leslie J; Cotch, Mary-Frances; Li, Xiaohui; Yip, Shea Ping; Yap, Maurice K H; Biino, Ginevra; Vaccargiu, Simona; Fossarello, Maurizio; Fleck, Brian; Yazar, Seyhan; Tideman, Jan Willem L; Tedja, Milly; Deangelis, Margaret M; Morrison, Margaux; Farrer, Lindsay; Zhou, Xiangtian; Chen, Wei; Mizuki, Nobuhisa; Meguro, Akira; Mäkelä, Kari Matti

    2016-03-29

    Myopia is the most common human eye disorder and it results from complex genetic and environmental causes. The rapidly increasing prevalence of myopia poses a major public health challenge. Here, the CREAM consortium performs a joint meta-analysis to test single-nucleotide polymorphism (SNP) main effects and SNP × education interaction effects on refractive error in 40,036 adults from 25 studies of European ancestry and 10,315 adults from 9 studies of Asian ancestry. In European ancestry individuals, we identify six novel loci (FAM150B-ACP1, LINC00340, FBN1, DIS3L-MAP2K1, ARID2-SNAT1 and SLC14A2) associated with refractive error. In Asian populations, three genome-wide significant loci AREG, GABRR1 and PDE10A also exhibit strong interactions with education (P<8.5 × 10(-5)), whereas the interactions are less evident in Europeans. The discovery of these loci represents an important advance in understanding how gene and environment interactions contribute to the heterogeneity of myopia.

  5. Meta-analysis of gene–environment-wide association scans accounting for education level identifies additional loci for refractive error

    Science.gov (United States)

    Fan, Qiao; Verhoeven, Virginie J. M.; Wojciechowski, Robert; Barathi, Veluchamy A.; Hysi, Pirro G.; Guggenheim, Jeremy A.; Höhn, René; Vitart, Veronique; Khawaja, Anthony P.; Yamashiro, Kenji; Hosseini, S Mohsen; Lehtimäki, Terho; Lu, Yi; Haller, Toomas; Xie, Jing; Delcourt, Cécile; Pirastu, Mario; Wedenoja, Juho; Gharahkhani, Puya; Venturini, Cristina; Miyake, Masahiro; Hewitt, Alex W.; Guo, Xiaobo; Mazur, Johanna; Huffman, Jenifer E.; Williams, Katie M.; Polasek, Ozren; Campbell, Harry; Rudan, Igor; Vatavuk, Zoran; Wilson, James F.; Joshi, Peter K.; McMahon, George; St Pourcain, Beate; Evans, David M.; Simpson, Claire L.; Schwantes-An, Tae-Hwi; Igo, Robert P.; Mirshahi, Alireza; Cougnard-Gregoire, Audrey; Bellenguez, Céline; Blettner, Maria; Raitakari, Olli; Kähönen, Mika; Seppala, Ilkka; Zeller, Tanja; Meitinger, Thomas; Ried, Janina S.; Gieger, Christian; Portas, Laura; van Leeuwen, Elisabeth M.; Amin, Najaf; Uitterlinden, André G.; Rivadeneira, Fernando; Hofman, Albert; Vingerling, Johannes R.; Wang, Ya Xing; Wang, Xu; Tai-Hui Boh, Eileen; Ikram, M. Kamran; Sabanayagam, Charumathi; Gupta, Preeti; Tan, Vincent; Zhou, Lei; Ho, Candice E. H.; Lim, Wan'e; Beuerman, Roger W.; Siantar, Rosalynn; Tai, E-Shyong; Vithana, Eranga; Mihailov, Evelin; Khor, Chiea-Chuen; Hayward, Caroline; Luben, Robert N.; Foster, Paul J.; Klein, Barbara E. K.; Klein, Ronald; Wong, Hoi-Suen; Mitchell, Paul; Metspalu, Andres; Aung, Tin; Young, Terri L.; He, Mingguang; Pärssinen, Olavi; van Duijn, Cornelia M.; Jin Wang, Jie; Williams, Cathy; Jonas, Jost B.; Teo, Yik-Ying; Mackey, David A.; Oexle, Konrad; Yoshimura, Nagahisa; Paterson, Andrew D.; Pfeiffer, Norbert; Wong, Tien-Yin; Baird, Paul N.; Stambolian, Dwight; Wilson, Joan E. Bailey; Cheng, Ching-Yu; Hammond, Christopher J.; Klaver, Caroline C. W.; Saw, Seang-Mei; Rahi, Jugnoo S.; Korobelnik, Jean-François; Kemp, John P.; Timpson, Nicholas J.; Smith, George Davey; Craig, Jamie E.; Burdon, Kathryn P.; Fogarty, Rhys D.; Iyengar, Sudha K.; Chew, Emily; Janmahasatian, Sarayut; Martin, Nicholas G.; MacGregor, Stuart; Xu, Liang; Schache, Maria; Nangia, Vinay; Panda-Jonas, Songhomitra; Wright, Alan F.; Fondran, Jeremy R.; Lass, Jonathan H.; Feng, Sheng; Zhao, Jing Hua; Khaw, Kay-Tee; Wareham, Nick J.; Rantanen, Taina; Kaprio, Jaakko; Pang, Chi Pui; Chen, Li Jia; Tam, Pancy O.; Jhanji, Vishal; Young, Alvin L.; Döring, Angela; Raffel, Leslie J.; Cotch, Mary-Frances; Li, Xiaohui; Yip, Shea Ping; Yap, Maurice K.H.; Biino, Ginevra; Vaccargiu, Simona; Fossarello, Maurizio; Fleck, Brian; Yazar, Seyhan; Tideman, Jan Willem L.; Tedja, Milly; Deangelis, Margaret M.; Morrison, Margaux; Farrer, Lindsay; Zhou, Xiangtian; Chen, Wei; Mizuki, Nobuhisa; Meguro, Akira; Mäkelä, Kari Matti

    2016-01-01

    Myopia is the most common human eye disorder and it results from complex genetic and environmental causes. The rapidly increasing prevalence of myopia poses a major public health challenge. Here, the CREAM consortium performs a joint meta-analysis to test single-nucleotide polymorphism (SNP) main effects and SNP × education interaction effects on refractive error in 40,036 adults from 25 studies of European ancestry and 10,315 adults from 9 studies of Asian ancestry. In European ancestry individuals, we identify six novel loci (FAM150B-ACP1, LINC00340, FBN1, DIS3L-MAP2K1, ARID2-SNAT1 and SLC14A2) associated with refractive error. In Asian populations, three genome-wide significant loci AREG, GABRR1 and PDE10A also exhibit strong interactions with education (P<8.5 × 10−5), whereas the interactions are less evident in Europeans. The discovery of these loci represents an important advance in understanding how gene and environment interactions contribute to the heterogeneity of myopia. PMID:27020472

  6. Clinical and Genomic Analysis of Liver Abscess-Causing Klebsiella pneumoniae Identifies New Liver Abscess-Associated Virulence Genes

    Science.gov (United States)

    Ye, Meiping; Tu, Jianfei; Jiang, Jianping; Bi, Yingmin; You, Weibo; Zhang, Yanliang; Ren, Jianmin; Zhu, Taohui; Cao, Zhuo; Yu, Zuochun; Shao, Chuxiao; Shen, Zhen; Ding, Baixing; Yuan, Jinyi; Zhao, Xu; Guo, Qinglan; Xu, Xiaogang; Huang, Jinwei; Wang, Minggui

    2016-01-01

    Hypervirulent variants of Klebsiella pneumoniae (hvKp) that cause invasive community-acquired pyogenic liver abscess (PLA) have emerged globally. Little is known about the virulence determinants associated with hvKp, except for the virulence genes rmpA/A2 and siderophores (iroBCD/iucABCD) carried by the pK2044-like large virulence plasmid. Here, we collected most recent clinical isolates of hvKp from PLA samples in China, and performed clinical, molecular, and genomic sequencing analyses. We found that 90.9% (40/44) of the pathogens causing PLA were K. pneumoniae. Among the 40 LA-Kp, K1 (62.5%), and K2 (17.5%) were the dominant serotypes, and ST23 (47.5%) was the major sequence type. S1-PFGE analyses demonstrated that although 77.5% (31/40) of the LA-Kp isolates harbored a single large virulence plasmid varied in size, 5 (12.5%) isolates had no plasmid and 4 (10%) had two or three plasmids. Whole genome sequencing and comparative analysis of 3 LA-Kp and 3 non-LA-Kp identified 133 genes present only in LA-Kp. Further, large scale screening of the 133 genes in 45 LA-Kp and 103 non-LA-Kp genome sequences from public databases identified 30 genes that were highly associated with LA-Kp, including iroBCD, iucABCD and rmpA/A2 and 21 new genes. Then, these 21 new genes were analyzed in 40 LA-Kp and 86 non-LA-Kp clinical isolates collected in this study by PCR, showing that new genes were present 80–100% among LA-Kp isolates while 2–11% in K. pneumoniae isolates from sputum and urine. Several of the 21 genes have been proposed as virulence factors in other bacteria, such as the gene encoding SAM-dependent methyltransferase and pagO which protects bacteria from phagocytosis. Taken together, these genes are likely new virulence factors contributing to the hypervirulence phenotype of hvKp, and may deepen our understanding of virulence mechanism of hvKp. PMID:27965935

  7. Clinical and Genomic Analysis of Liver Abscess-Causing Klebsiella pneumoniae Identifies New Liver Abscess-Associated Virulence Genes

    Directory of Open Access Journals (Sweden)

    Meiping Ye

    2016-11-01

    Full Text Available Hypervirulent variants of Klebsiella pneumoniae (hvKp that cause invasive community-acquired pyogenic liver abscess have emerged globally. Little is known about the virulence determinants associated with hvKp, except for the virulence genes rmpA/A2 and siderophores (iroBCD/iucABCD carried by the pK2044-like large virulence plasmid. Here, we collected most recent clinical isolates of hvKp from pyogenic liver abscess (PLA samples in China, and performed clinical, molecular, and genomic sequencing analyses. We found that 90.9% (40/44 of the pathogens causing PLA were K. pneumoniae. Among the 40 LA-Kp, K1 (62.5% and K2 (17.5% were the dominant serotypes, and ST23 (47.5% was the major sequence type. S1-PFGE analyses demonstrated that although 77.5% (31/40 of the LA-Kp isolates harbored a single large virulence plasmid varied in size, 5 (12.5% isolates had no plasmid and 4 (10% had two or three plasmids. Whole genome sequencing and comparative analysis of 3 LA-Kp and 3 non-LA-Kp identified 133 genes present only in LA-Kp. Further, large scale screening of the 133 genes in 45 LA-Kp and 103 non-LA-Kp genome sequences from public databases identified 30 genes that were highly associated with LA-Kp, including iroBCD, iucABCD and rmpA/A2 and 21 new genes. Then, these 21 new genes were analyzed in 40 LA-Kp and 86 non-LA-Kp clinical isolates collected in this study by PCR, showing that new genes were present 80-100% among LA-Kp isolates while 2-11% in K. pneumoniae isolates from sputum and urine. Several of the 21 genes have been proposed as virulence factors in other bacteria, such as the gene encoding SAM-dependent methyltransferase and pagO which protects bacteria from phagocytosis. Taken together, these genes are likely new virulence factors contributing to the hypervirulence phenotype of hvKp, and may deepen our understanding of virulence mechanism of hvKp.

  8. Genome-wide association analysis identifies new lung cancer susceptibility loci in never-smoking women in Asia.

    NARCIS (Netherlands)

    Lan, Q.; Hsiung, C.A.; Matsuo, K.; Hong, Y.C.; Seow, A.; Wang, Z.; Hosgood, H.D.; Chen, K.; Wang, J.C.; Chatterjee, N.; Hu, W.; Wong, M.P.; Zheng, W.; Caporaso, N.; Park, J.Y.; Chen, C.J.; Kim, Y.H.; Kim, Y.T.; Landi, M.T.; Shen, H.; Lawrence, C.; Burdett, L.; Yeager, M.; Yuenger, J.; Jacobs, K.B.; Chang, I.S.; Mitsudomi, T.; Kim, H.N.; Chang, G.C.; Bassig, B.A.; Tucker, M.; Wei, F.; Yin, Y.; Wu, C.; An, S.J.; Qian, B.; Lee, V.H.; Lu, D.; Liu, J.; Jeon, H.S.; Hsiao, C.F.; Sung, J.S.; Kim, J.H.; Gao, Y.T.; Tsai, Y.H.; Jung, Y.J.; Guo, H.; Hu, Z.; Hutchinson, A.; Wang, W.C.; Klein, R.; Chung, C.C.; Oh, I.J.; Chen, K.Y.; Berndt, S.I.; He, X.; Wu, W.; Chang, J.; Zhang, X.C.; Huang, M.S.; Zheng, H.; Wang, J.; Zhao, X.; Li, Y.; Choi, J.E.; Su, W.C.; Park, K.H.; Sung, S.W.; Shu, X.O.; Chen, Y.M.; Liu, L.; Kang, C.H.; Hu, L.; Chen, C.H.; Pao, W.; Kim, Y.C.; Yang, T.Y.; Xu, J.; Guan, P.; Tan, W.; Su, J.; Wang, C.L.; Li, H.; Sihoe, A.D.; Zhao, Z.; Chen, Y.; Choi, Y.Y.; Hung, J.Y.; Kim, J.S.; Yoon, H.I.; Cai, Q.; Lin, C.C.; Park, I.K.; Xu, P.; Dong, J.; Kim, C.; He, Q; Perng, R.P.; Kohno, T.; Kweon, S.S.; Chen, C.Y.; Vermeulen, R.; Wu, J.; Lim, W.Y.; Chen, K.C.; Chow, W.H.; Ji, B.T.; Chan, J.K.; Chu, M.; Li, Y.J.; Yokota, J.; Li, J.; Chen, H.; Xiang, Y.B.; Yu, C.J.; Kunitoh, H.; Wu, G.; Jin, L.; Lo, Y.L.; Shiraishi, K.; Chen, Y.H.; Lin, H.C.; Wu, T.; WU, Y.; Yang, P.C.; Zhou, B.; Shin, M.H.; Fraumeni, J.F.; Lin, D.; Chanock, S.J.; Rothman, N.

    2012-01-01

    To identify common genetic variants that contribute to lung cancer susceptibility, we conducted a multistage genome-wide association study of lung cancer in Asian women who never smoked. We scanned 5,510 never-smoking female lung cancer cases and 4,544 controls drawn from 14 studies from mainland Ch

  9. Meta-analysis of genome-wide association studies identifies novel loci that influence cupping and the glaucomatous process

    NARCIS (Netherlands)

    Springelkamp, Henriët; Höhn, René; Mishra, Aniket; Hysi, Pirro G; Khor, Chiea-Chuen; Loomis, Stephanie J; Bailey, Jessica N Cooke; Gibson, Jane; Thorleifsson, Gudmar; Janssen, Sarah F; Luo, Xiaoyan; Ramdas, Wishal D; Vithana, Eranga; Nongpiur, Monisha E; Montgomery, Grant W; Xu, Liang; Mountain, Jenny E; Gharahkhani, Puya; Lu, Yi; Amin, Najaf; Karssen, Lennart C; Sim, Kar-Seng; van Leeuwen, Elisabeth M; Iglesias, Adriana I; Verhoeven, Virginie J M; Hauser, Michael A; Loon, Seng-Chee; Despriet, Dominiek D G; Nag, Abhishek; Venturini, Cristina; Sanfilippo, Paul G; Schillert, Arne; Kang, Jae H; Landers, John; Jonasson, Fridbert; Cree, Angela J; van Koolwijk, Leonieke M E; Rivadeneira, Fernando; Souzeau, Emmanuelle; Jonsson, Vesteinn; Menon, Geeta; Weinreb, Robert N; de Jong, Paulus T V M; Oostra, Ben A; Uitterlinden, André G; Hofman, Albert; Ennis, Sarah; Thorsteinsdottir, Unnur; Burdon, Kathryn P; Spector, Timothy D; Mirshahi, Alireza; Saw, Seang-Mei; Vingerling, Johannes R; Teo, Yik-Ying; Haines, Jonathan L; Wolfs, Roger C W; Lemij, Hans G; Tai, E-Shyong; Jansonius, Nomdo M; Jonas, Jost B; Cheng, Ching-Yu; Aung, Tin; Viswanathan, Ananth C; Klaver, Caroline C W; Craig, Jamie E; Macgregor, Stuart; Mackey, David A; Lotery, Andrew J; Stefansson, Kari; Bergen, Arthur A B; Young, Terri L; Wiggs, Janey L; Pfeiffer, Norbert; Wong, Tien-Yin; Pasquale, Louis R; Hewitt, Alex W; van Duijn, Cornelia M; Hammond, Christopher J

    2014-01-01

    Glaucoma is characterized by irreversible optic nerve degeneration and is the most frequent cause of irreversible blindness worldwide. Here, the International Glaucoma Genetics Consortium conducts a meta-analysis of genome-wide association studies of vertical cup-disc ratio (VCDR), an important dise

  10. Meta-analysis of genome-wide association studies identifies three new risk loci for atopic dermatitis

    DEFF Research Database (Denmark)

    Paternoster, Lavinia; Standl, Marie; Chen, Chih-Mei;

    2011-01-01

    Atopic dermatitis (AD) is a commonly occurring chronic skin disease with high heritability. Apart from filaggrin (FLG), the genes influencing atopic dermatitis are largely unknown. We conducted a genome-wide association meta-analysis of 5,606 affected individuals and 20,565 controls from 16 popul...

  11. Meta-Analysis of Genome-Wide Association Studies in > 80 000 Subjects Identifies Multiple Loci for C-Reactive Protein Levels

    OpenAIRE

    Dehghan, Abbas; Dupuis, Josee; Barbalic, Maja; Bis, Joshua C; Eiriksdottir, Gudny; Lu, Chen; Pellikka, Niina; Wallaschofski, Henri; Kettunen, Johannes; Henneman, Peter; Baumert, Jens; Strachan, David P.; Fuchsberger, Christian; Vitart, Veronique; Wilson, James F.

    2011-01-01

    Background-C-reactive protein (CRP) is a heritable marker of chronic inflammation that is strongly associated with cardiovascular disease. We sought to identify genetic variants that are associated with CRP levels.Methods and Results-We performed a genome-wide association analysis of CRP in 66 185 participants from 15 population-based studies. We sought replication for the genome-wide significant and suggestive loci in a replication panel comprising 16 540 individuals from 10 independent stud...

  12. Transcriptomic analysis of colistin-susceptible and colistin-resistant isolates identifies genes associated with colistin resistance in Acinetobacter baumannii.

    Science.gov (United States)

    Park, Y K; Lee, J-Y; Ko, K S

    2015-08-01

    The emergence of colistin-resistant Acinetobacter baumannii is concerning, as colistin is often regarded as the last option for treating multidrug-resistant (MDR) A. baumannii infections. Using mRNA sequencing, we compared whole transcriptomes of colistin-susceptible and colistin-resistant A. baumannii strains, with the aim of identifying genes involved in colistin resistance. A clinical colistin-susceptible strain (06AC-179) and a colistin-resistant strain (07AC-052) were analysed in this study. In addition, a colistin-resistant mutant (06AC-179-R1) derived from 06AC-179 was also included in this study. High throughput mRNA sequencing was performed with an Illumina HiSeq TM 2000. In total, six genes were identified as associated with colistin resistance in A. baumannii. These six genes encode PmrAB two-component regulatory enzymes, PmrC (a lipid A phosphoethanolamine transferase), a glycosyltransferase, a poly-β-1,6-N-acetylglucosamine deacetylase, and a putative membrane protein. Matrix-assisted laser desorption/ionization time of flight mass spectrometry revealed that all three colistin-resistant strains used in this study had modified lipid A structure by addition of phosphoethanolamine. As genes found in our results are all associated with either lipopolysaccharide biosynthesis or electrostatic changes in the bacterial cell membrane, lipopolysaccharide modification might be one of the principal modes of acquisition of colistin resistance in some A. baumannii strains.

  13. A large-scale genome-wide association and meta-analysis identified four novel susceptibility loci for leprosy

    Science.gov (United States)

    Wang, Zhenzhen; Sun, Yonghu; Fu, Xi'an; Yu, Gongqi; Wang, Chuan; Bao, Fangfang; Yue, Zhenhua; Li, Jianke; Sun, Lele; Irwanto, Astrid; Yu, Yongxiang; Chen, Mingfei; Mi, Zihao; Wang, Honglei; Huai, Pengcheng; Li, Yi; Du, Tiantian; Yu, Wenjun; Xia, Yang; Xiao, Hailu; You, Jiabao; Li, Jinghui; Yang, Qing; Wang, Na; Shang, Panpan; Niu, Guiye; Chi, Xiaojun; Wang, Xiuhuan; Cao, Jing; Cheng, Xiujun; Liu, Hong; Liu, Jianjun; Zhang, Furen

    2016-01-01

    Leprosy, a chronic infectious disease, results from the uncultivable pathogen Mycobacterium leprae (M. leprae), and usually progresses to peripheral neuropathy and permanent progressive deformity if not treated. Previously published genetic studies have identified 18 gene/loci significantly associated with leprosy at the genome-wide significant level. However as a complex disease, only a small proportion of leprosy risk could be explained by those gene/loci. To further identify more susceptibility gene/loci, we hereby performed a three-stage GWAS comprising 8,156 leprosy patients and 15,610 controls of Chinese ancestry. Four novel loci were identified including rs6807915 on 3p25.2 (P=1.94 × 10−8, OR=0.89), rs4720118 on 7p14.3 (P=3.85 × 10−10, OR=1.16), rs55894533 on 8p23.1 (P=5.07 × 10−11, OR=1.15) and rs10100465 on 8q24.11 (P=2.85 × 10−11, OR=0.85). Altogether, these findings have provided new insight and significantly expanded our understanding of the genetic basis of leprosy. PMID:27976721

  14. Metagenomic analysis of viruses associated with field-grown and retail lettuce identifies human and animal viruses.

    Science.gov (United States)

    Aw, Tiong Gim; Wengert, Samantha; Rose, Joan B

    2016-04-16

    The emergence of culture- and sequence-independent metagenomic methods has not only provided great insight into the microbial community structure in a wide range of clinical and environmental samples but has also proven to be powerful tools for pathogen detection. Recent studies of the food microbiome have revealed the vast genetic diversity of bacteria associated with fresh produce. However, no work has been done to apply metagenomic methods to tackle viruses associated with fresh produce for addressing food safety. Thus, there is a little knowledge about the presence and diversity of viruses associated with fresh produce from farm-to-fork. To address this knowledge gap, we assessed viruses on commercial romaine and iceberg lettuces in fields and a produce distribution center using a shotgun metagenomic sequencing targeting both RNA and DNA viruses. Commercial lettuce harbors an immense assemblage of viruses that infect a wide range of hosts. As expected, plant pathogenic viruses dominated these communities. Sequences of rotaviruses and picobirnaviruses were also identified in both field-harvest and retail lettuce samples, suggesting an emerging foodborne transmission threat that has yet to be fully recognized. The identification of human and animal viruses in lettuce samples in the field emphasizes the importance of preventing viral contamination on leafy greens starting at the field. Although there are still some inherent experimental and bioinformatics challenges in applying viral metagenomic approaches for food safety testing, this work will facilitate further application of this unprecedented deep sequencing method to food samples.

  15. Genome-wide association analysis of chronic lymphocytic leukaemia, Hodgkin lymphoma and multiple myeloma identifies pleiotropic risk loci

    Science.gov (United States)

    Law, Philip J.; Sud, Amit; Mitchell, Jonathan S.; Henrion, Marc; Orlando, Giulia; Lenive, Oleg; Broderick, Peter; Speedy, Helen E.; Johnson, David C.; Kaiser, Martin; Weinhold, Niels; Cooke, Rosie; Sunter, Nicola J.; Jackson, Graham H.; Summerfield, Geoffrey; Harris, Robert J.; Pettitt, Andrew R.; Allsup, David J.; Carmichael, Jonathan; Bailey, James R.; Pratt, Guy; Rahman, Thahira; Pepper, Chris; Fegan, Chris; von Strandmann, Elke Pogge; Engert, Andreas; Försti, Asta; Chen, Bowang; Filho, Miguel Inacio da Silva; Thomsen, Hauke; Hoffmann, Per; Noethen, Markus M.; Eisele, Lewin; Jöckel, Karl-Heinz; Allan, James M.; Swerdlow, Anthony J.; Goldschmidt, Hartmut; Catovsky, Daniel; Morgan, Gareth J.; Hemminki, Kari; Houlston, Richard S.

    2017-01-01

    B-cell malignancies (BCM) originate from the same cell of origin, but at different maturation stages and have distinct clinical phenotypes. Although genetic risk variants for individual BCMs have been identified, an agnostic, genome-wide search for shared genetic susceptibility has not been performed. We explored genome-wide association studies of chronic lymphocytic leukaemia (CLL, N = 1,842), Hodgkin lymphoma (HL, N = 1,465) and multiple myeloma (MM, N = 3,790). We identified a novel pleiotropic risk locus at 3q22.2 (NCK1, rs11715604, P = 1.60 × 10−9) with opposing effects between CLL (P = 1.97 × 10−8) and HL (P = 3.31 × 10−3). Eight established non-HLA risk loci showed pleiotropic associations. Within the HLA region, Ser37 + Phe37 in HLA-DRB1 (P = 1.84 × 10−12) was associated with increased CLL and HL risk (P = 4.68 × 10−12), and reduced MM risk (P = 1.12 × 10−2), and Gly70 in HLA-DQB1 (P = 3.15 × 10−10) showed opposing effects between CLL (P = 3.52 × 10−3) and HL (P = 3.41 × 10−9). By integrating eQTL, Hi-C and ChIP-seq data, we show that the pleiotropic risk loci are enriched for B-cell regulatory elements, as well as an over-representation of binding of key B-cell transcription factors. These data identify shared biological pathways influencing the development of CLL, HL and MM. The identification of these risk loci furthers our understanding of the aetiological basis of BCMs. PMID:28112199

  16. Genome-wide association analysis of chronic lymphocytic leukaemia, Hodgkin lymphoma and multiple myeloma identifies pleiotropic risk loci

    Science.gov (United States)

    Law, Philip J.; Sud, Amit; Mitchell, Jonathan S.; Henrion, Marc; Orlando, Giulia; Lenive, Oleg; Broderick, Peter; Speedy, Helen E.; Johnson, David C.; Kaiser, Martin; Weinhold, Niels; Cooke, Rosie; Sunter, Nicola J.; Jackson, Graham H.; Summerfield, Geoffrey; Harris, Robert J.; Pettitt, Andrew R.; Allsup, David J.; Carmichael, Jonathan; Bailey, James R.; Pratt, Guy; Rahman, Thahira; Pepper, Chris; Fegan, Chris; von Strandmann, Elke Pogge; Engert, Andreas; Försti, Asta; Chen, Bowang; Filho, Miguel Inacio Da Silva; Thomsen, Hauke; Hoffmann, Per; Noethen, Markus M.; Eisele, Lewin; Jöckel, Karl-Heinz; Allan, James M.; Swerdlow, Anthony J.; Goldschmidt, Hartmut; Catovsky, Daniel; Morgan, Gareth J.; Hemminki, Kari; Houlston, Richard S.

    2017-01-01

    B-cell malignancies (BCM) originate from the same cell of origin, but at different maturation stages and have distinct clinical phenotypes. Although genetic risk variants for individual BCMs have been identified, an agnostic, genome-wide search for shared genetic susceptibility has not been performed. We explored genome-wide association studies of chronic lymphocytic leukaemia (CLL, N = 1,842), Hodgkin lymphoma (HL, N = 1,465) and multiple myeloma (MM, N = 3,790). We identified a novel pleiotropic risk locus at 3q22.2 (NCK1, rs11715604, P = 1.60 × 10‑9) with opposing effects between CLL (P = 1.97 × 10‑8) and HL (P = 3.31 × 10‑3). Eight established non-HLA risk loci showed pleiotropic associations. Within the HLA region, Ser37 + Phe37 in HLA-DRB1 (P = 1.84 × 10‑12) was associated with increased CLL and HL risk (P = 4.68 × 10‑12), and reduced MM risk (P = 1.12 × 10‑2), and Gly70 in HLA-DQB1 (P = 3.15 × 10‑10) showed opposing effects between CLL (P = 3.52 × 10‑3) and HL (P = 3.41 × 10‑9). By integrating eQTL, Hi-C and ChIP-seq data, we show that the pleiotropic risk loci are enriched for B-cell regulatory elements, as well as an over-representation of binding of key B-cell transcription factors. These data identify shared biological pathways influencing the development of CLL, HL and MM. The identification of these risk loci furthers our understanding of the aetiological basis of BCMs.

  17. RNA-Seq analysis identifies key genes associated with haustorial development in the root hemiparasite Santalum album

    Directory of Open Access Journals (Sweden)

    Xinhua eZhang

    2015-09-01

    Full Text Available Santalum album (sandalwood is one of the economically important plant species in the Santalaceae for its production of highly valued perfume oils. Sandalwood is also a hemiparasitic tree that obtains some of its water and simple nutrients by tapping into other plants through haustoria which are highly specialized organs in parasitic angiosperms. However, an understanding of the molecular mechanisms involved in haustorium development is limited. In this study, RNA sequencing (RNA-seq analyses were performed to identify changes in gene expression and metabolic pathways associated with the development of the S. album haustorium. A total of 56,011 non-redundant contigs with a mean contig size of 618 bp were obtained by de novo assembly of the transcriptome of haustoria and non-haustorial seedling roots. A substantial number of the identified differentially expressed genes were involved in cell wall metabolism and protein metabolism, as well as mitochondrial electron transport functions. Phytohormone-mediated regulation might play an important role during haustorial development. Especially, auxin signaling is likely to be essential for haustorial initiation, and genes related to cytokinin and gibberellin biosynthesis and metabolism are involved in haustorial development. Our results suggest that genes encoding nodulin-like proteins may be important for haustorial morphogenesis in S. album. The obtained sequence data will become a rich resource for future research in this interesting species. This information improves our understanding of haustorium development in root hemiparasitic species and will allow further exploration of the detailed molecular mechanisms underlying plant parasitism.

  18. Meta-analysis identifies 13 new loci associated with waist-hip ratio and reveals sexual dimorphism in the genetic basis of fat distribution

    NARCIS (Netherlands)

    Heid, Iris M.; Jackson, Anne U.; Randall, Joshua C.; Winkler, Thomas W.; Qi, Lu; Steinthorsdottir, Valgerdur; Thorleifsson, Gudmar; Zillikens, M. Carola; Speliotes, Elizabeth K.; Maegi, Reedik; Workalemahu, Tsegaselassie; White, Charles C.; Bouatia-Naji, Nabila; Harris, Tamara B.; Berndt, Sonja I.; Ingelsson, Erik; Willer, Cristen J.; Weedon, Michael N.; Luan, Jianan; Vedantam, Sailaja; Esko, Tonu; Kilpelaeinen, Tuomas O.; Kutalik, Zoltan; Li, Shengxu; Monda, Keri L.; Dixon, Anna L.; Holmes, Christopher C.; Kaplan, Lee M.; Liang, Liming; Min, Josine L.; Moffatt, Miriam F.; Molony, Cliona; Nicholson, George; Schadt, Eric E.; Zondervan, Krina T.; Feitosa, Mary F.; Ferreira, Teresa; Allen, Hana Lango; Weyant, Robert J.; Wheeler, Eleanor; Wood, Andrew R.; Estrada, Karol; Goddard, Michael E.; Lettre, Guillaume; Mangino, Massimo; Nyholt, Dale R.; Purcell, Shaun; Smith, Albert Vernon; Visscher, Peter M.; Yang, Jian; McCarroll, Steven A.; Nemesh, James; Voight, Benjamin F.; Absher, Devin; Amin, Najaf; Aspelund, Thor; Coin, Lachlan; Glazer, Nicole L.; Hayward, Caroline; Heard-Costa, Nancy L.; Hottenga, Jouke-Jan; Johansson, Asa; Johnson, Toby; Kaakinen, Marika; Kapur, Karen; Ketkar, Shamika; Knowles, Joshua W.; Kraft, Peter; Kraja, Aldi T.; Lamina, Claudia; Leitzmann, Michael F.; McKnight, Barbara; Morris, Andrew P.; Ong, Ken K.; Perry, John R. B.; Peters, Marjolein J.; Polasek, Ozren; Prokopenko, Inga; Rayner, Nigel W.; Ripatti, Samuli; Rivadeneira, Fernando; Robertson, Neil R.; Sanna, Serena; Sovio, Ulla; Surakka, Ida; Teumer, Alexander; van Wingerden, Sophie; Vitart, Veronique; Zhao, Jing Hua; Cavalcanti-Proenca, Christine; Chines, Peter S.; Fisher, Eva; Kulzer, Jennifer R.; Lecoeur, Cecile; Narisu, Narisu; Sandholt, Camilla; Scott, Laura J.; Silander, Kaisa; Stark, Klaus; Tammesoo, Mari-Liis; Teslovich, Tanya M.; Timpson, Nicholas John; Watanabe, Richard M.; Welch, Ryan; Chasman, Daniel I.; Cooper, Matthew N.; Jansson, John-Olov; Kettunen, Johannes; Lawrence, Robert W.; Pellikka, Niina; Perola, Markus; Vandenput, Liesbeth; Alavere, Helene; Almgren, Peter; Atwood, Larry D.; Bennett, Amanda J.; Biffar, Reiner; Bonnycastle, Lori L.; Bornstein, Stefan R.; Buchanan, Thomas A.; Campbell, Harry; Day, Ian N. M.; Dei, Mariano; Doerr, Marcus; Elliott, Paul; Erdos, Michael R.; Eriksson, Johan G.; Freimer, Nelson B.; Fu, Mao; Gaget, Stefan; Geus, Eco J. C.; Gjesing, Anette P.; Grallert, Harald; Graessler, Juergen; Groves, Christopher J.; Guiducci, Candace; Hartikainen, Anna-Liisa; Hassanali, Neelam; Havulinna, Aki S.; Herzig, Karl-Heinz; Hicks, Andrew A.; Hui, Jennie; Igl, Wilmar; Jousilahti, Pekka; Jula, Antti; Kajantie, Eero; Kinnunen, Leena; Kolcic, Ivana; Koskinen, Seppo; Kovacs, Peter; Kroemer, Heyo K.; Krzelj, Vjekoslav; Kuusisto, Johanna; Kvaloy, Kirsti; Laitinen, Jaana; Lantieri, Olivier; Lathrop, G. Mark; Lokki, Marja-Liisa; Luben, Robert N.; Ludwig, Barbara; McArdle, Wendy L.; McCarthy, Anne; Morken, Mario A.; Nelis, Mari; Neville, Matt J.; Pare, Guillaume; Parker, Alex N.; Peden, John F.; Pichler, Irene; Pietilainen, Kirsi H.; Platou, Carl G. P.; Pouta, Anneli; Ridderstrale, Martin; Samani, Nilesh J.; Saramies, Jouko; Sinisalo, Juha; Smit, Jan H.; Strawbridge, Rona J.; Stringham, Heather M.; Swift, Amy J.; Teder-Laving, Maris; Thomson, Brian; Usala, Gianluca; van Meurs, Joyce B. J.; van Ommen, Gert-Jan; Vatin, Vincent; Volpato, Claudia B.; Wallaschofski, Henri; Walters, G. Bragi; Widen, Elisabeth; Wild, Sarah H.; Willemsen, Gonneke; Witte, Daniel R.; Zgaga, Lina; Zitting, Paavo; Beilby, John P.; James, Alan L.; Kahonen, Mika; Lehtimaki, Terho; Nieminen, Markku S.; Ohlsson, Claes; Palmer, Lyle J.; Raitakari, Olli; Ridker, Paul M.; Stumvoll, Michael; Toenjes, Anke; Viikari, Jorma; Balkau, Beverley; Ben-Shlomo, Yoav; Bergman, Richard N.; Boeing, Heiner; Smith, George Davey; Ebrahim, Shah; Froguel, Philippe; Hansen, Torben; Hengstenberg, Christian; Hveem, Kristian; Isomaa, Bo; Jorgensen, Torben; Karpe, Fredrik; Khaw, Kay-Tee; Laakso, Markku; Lawlor, Debbie A.; Marre, Michel; Meitinger, Thomas; Metspalu, Andres; Midthjell, Kristian; Pedersen, Oluf; Salomaa, Veikko; Schwarz, Peter E. H.; Tuomi, Tiinamaija; Tuomilehto, Jaakko; Valle, Timo T.; Wareham, Nicholas J.; Arnold, Alice M.; Beckmann, Jacques S.; Bergmann, Sven; Boerwinkle, Eric; Boomsma, Dorret I.; Caulfield, Mark J.; Collins, Francis S.; Eiriksdottir, Gudny; Gudnason, Vilmundur; Gyllensten, Ulf; Hamsten, Anders; Hattersley, Andrew T.; Hofman, Albert; Hu, Frank B.; Illig, Thomas; Iribarren, Carlos; Jarvelin, Marjo-Riitta; Kao, W. H. Linda; Kaprio, Jaakko

    2010-01-01

    Waist-hip ratio (WHR) is a measure of body fat distribution and a predictor of metabolic consequences independent of overall adiposity. WHR is heritable, but few genetic variants influencing this trait have been identified. We conducted a meta-analysis of 32 genome-wide association studies for WHR a

  19. Meta-analysis identifies 13 new loci associated with waist-hip ratio and reveals sexual dimorphism in the genetic basis of fat distribution

    DEFF Research Database (Denmark)

    Heid, Iris M; Jackson, Anne U; Randall, Joshua C

    2010-01-01

    Waist-hip ratio (WHR) is a measure of body fat distribution and a predictor of metabolic consequences independent of overall adiposity. WHR is heritable, but few genetic variants influencing this trait have been identified. We conducted a meta-analysis of 32 genome-wide association studies for WH...

  20. A meta-analysis of genome-wide association studies of breast cancer identifies two novel susceptibility loci at 6q14 and 20q11

    NARCIS (Netherlands)

    Siddiq, Afshan; Couch, Fergus J.; Chen, Gary K.; Lindstrom, Sara; Eccles, Diana; Millikan, Robert C.; Michailidou, Kyriaki; Stram, Daniel O.; Beckmann, Lars; Rhie, Suhn Kyong; Ambrosone, Christine B.; Aittomaki, Kristiina; Amiano, Pilar; Apicella, Carmel; Baglietto, Laura; Bandera, Elisa V.; Beckmann, Matthias W.; Berg, Christine D.; Bernstein, Leslie; Blomqvist, Carl; Brauch, Hiltrud; Brinton, Louise; Bui, Quang M.; Buring, Julie E.; Buys, Saundra S.; Campa, Daniele; Carpenter, Jane E.; Chasman, Daniel I.; Chang-Claude, Jenny; Chen, Constance; Clavel-Chapelon, Francoise; Cox, Angela; Cross, Simon S.; Czene, Kamila; Deming, Sandra L.; Diasio, Robert B.; Diver, W. Ryan; Dunning, Alison M.; Durcan, Lorraine; Ekici, Arif B.; Fasching, Peter A.; Feigelson, Heather Spencer; Fejerman, Laura; Figueroa, Jonine D.; Fletcher, Olivia; Flesch-Janys, Dieter; Gaudet, Mia M.; Gerty, Susan M.; Rodriguez-Gil, Jorge L.; Giles, Graham G.; van Gils, Carla H.; Godwin, Andrew K.; Graham, Nikki; Greco, Dario; Hall, Per; Hankinson, Susan E.; Hartmann, Arndt; Hein, Rebecca; Heinz, Judith; Hoover, Robert N.; Hopper, John L.; Hu, Jennifer J.; Huntsman, Scott; Ingles, Sue A.; Irwanto, Astrid; Isaacs, Claudine; Jacobs, Kevin B.; John, Esther M.; Justenhoven, Christina; Kaaks, Rudolf; Kolonel, Laurence N.; Coetzee, Gerhard A.; Lathrop, Mark; Le Marchand, Loic; Lee, Adam M.; Lee, I-Min; Lesnick, Timothy; Lichtner, Peter; Liu, Jianjun; Lund, Eiliv; Makalic, Enes; Martin, Nicholas G.; McLean, Catriona A.; Meijers-Heijboer, Hanne; Meindl, Alfons; Miron, Penelope; Monroe, Kristine R.; Montgomery, Grant W.; Mueller-Myhsok, Bertram; Nickels, Stefan; Nyante, Sarah J.; Olswold, Curtis; Overvad, Kim; Palli, Domenico; Park, Daniel J.; Palmer, Julie R.; Pathak, Harsh; Peto, Julian; Pharoah, Paul; Rahman, Nazneen; Rivadeneira, Fernando; Schmidt, Daniel F.; Schmutzler, Rita K.; Slager, Susan; Southey, Melissa C.; Stevens, Kristen N.; Sinn, Hans-Peter; Press, Michael F.; Ross, Eric; Riboli, Elio; Ridker, Paul M.; Schumacher, Fredrick R.; Severi, Gianluca; Silva, Isabel dos Santos; Stone, Jennifer; Sund, Malin; Tapper, William J.; Thun, Michael J.; Travis, Ruth C.; Turnbull, Clare; Uitterlinden, Andre G.; Waisfisz, Quinten; Wang, Xianshu; Wang, Zhaoming; Weaver, JoEllen; Schulz-Wendtland, Ruediger; Wilkens, Lynne R.; Van Den Berg, David; Zheng, Wei; Ziegler, Regina G.; Ziv, Elad; Nevanlinna, Heli; Easton, Douglas F.; Hunter, David J.; Henderson, Brian E.; Chanock, Stephen J.; Garcia-Closas, Montserrat; Kraft, Peter; Haiman, Christopher A.; Vachon, Celine M.

    2012-01-01

    Genome-wide association studies (GWAS) of breast cancer defined by hormone receptor status have revealed loci contributing to susceptibility of estrogen receptor (ER)-negative subtypes. To identify additional genetic variants for ER-negative breast cancer, we conducted the largest meta-analysis of E

  1. Genome-wide association meta-analysis of human longevity identifies a novel locus conferring survival beyond 90 years of age

    DEFF Research Database (Denmark)

    Deelen, Joris; Beekman, Marian; Uh, Hae-Won;

    2014-01-01

    The genetic contribution to the variation in human lifespan is approximately 25%. Despite the large number of identified disease-susceptibility loci, it is not known which loci influence population mortality.We performed a genome-wide association meta-analysis of 7729 long-lived individuals of Eu...

  2. Meta-analysis identifies 13 new loci associated with waist-hip ratio and reveals sexual dimorphism in the genetic basis of fat distribution

    NARCIS (Netherlands)

    I.M. Heid (Iris); A.U. Jackson (Anne); J.C. Randall (Joshua); T.W. Winkler (Thomas); L. Qi (Lu); V. Ssteinthorsdottir (Valgerdur); G. Tthorleifsson (Ggudmar); M.C. Zillikens (Carola); E.K. Sspeliotes (Eelizabeth); R. Mägi (Reedik); T. Workalemahu (Tsegaselassie); C.C. White (Charles); N. Bouatia-Naji (Nabila); T.B. Harris (Tamara); S.I. Berndt (Sonja); E. Ingelsson (Erik); C.J. Willer (Cristen); J. Luan; S. Vedantam (Sailaja); T. Eesko (Tõnu); T.O. Kilpeläinen (Tuomas); Z. Kutalik (Zoltán); S. Li (Shengxu); K.L. Monda (Keri); A.L. Dixon (Anna); C. Holmes (Christopher); R.C. Kaplan (Robert); L. Liang (Liming); J. Min (Josine); M.F. Moffatt (Miriam); C. Molony (Cliona); G. Nicholson (Ggeorge); E.E. Sschadt (Eeric); K.T. Zondervan (Krina); M.F. Feitosa (Mary Furlan); T. Ferreira (Teresa); H.L. Allen; R.J. Weyant (Robert); E. Wheeler (Eleanor); A.R. Wood (Andrew); K. Eestrada (Karol); M.E. Goddard (Michael); G. Lettre (Guillaume); M. Mangino (Massimo); D.R. Nyholt (Dale); S. Purcell (Shaun); A.V. Ssmith; P.M. Visscher (Peter); J. Yang (Joanna); S.A. McCcarroll (Ssteven); J. Nemesh (James); B.F. Voight (Benjamin); D. Absher (Devin); N. Amin (Najaf); T. Aspelund (Thor); L. Coin (Lachlan); N.L. Glazer (Nicole); C. Hayward (Caroline); N. Heard-Ccosta (Nancy); J.J. Hottenga (Jouke Jan); A. Johansson (Åsa); T. Johnson (Toby); M. Kaakinen (Marika); K. Kapur (Karen); S. Ketkar (Shamika); J.W. Knowles (Joshua); P. Kraft (Peter); A. Kraja (Aldi); C. Lamina (Claudia); M.F. Leitzmann (Michael); B. McKknight (Barbara); A.D. Morris (Andrew); K. Oong (Ken); J.R.B. Perry (John); M.J. Peters (Marjolein); O. Polasek (Ozren); I. Prokopenko (Inga); N.W. Rayner (Nigel William); S. Ripatti (Samuli); F. Rivadeneira Ramirez (Fernando); N.R. Robertson (Neil); S. Sanna (Serena); U. Sovio (Ulla); I. Surakka (Ida); A. Teumer (Alexander); S. van Wingerden (Sophie); V. Vitart (Veronique); J.H. Zhao; C. Cavalcanti-Proença (Christine); P.S. Chines (Peter); E. Fisher (Eeva); J.R. Kulzer (Jennifer); C. Lecoeur (Cécile); N. Narisu (Narisu); C. Sandholt (Camilla); L.J. Scott (Laura); K. Silander (Kaisa); K. Stark (Klaus); M.L. Tammesoo; T.M. Teslovich (Tanya); N. Timpson (Nicholas); R.P. Welch (Ryan); D.I. Chasman (Daniel); M.N. Cooper (Matthew); J.O. Jansson; J. Kettunen (Johannes); R. Wlawrence (Robert); N. Pellikka (Niina); M. Perola (Markus); L. Vandenput (Liesbeth); H. Alavere (Helene); P. Almgren (Peter); L.D. Atwood (Larry); A.J. Bennett (Amanda); R. Biffar (Reiner); L.L. Bonnycastle (Lori); S.R. Bornstein (Stefan); T.A. Buchanan (Thomas); H. Campbell (Harry); I.N.M. Day (Ian); M. Dei (Mariano); M. Dörr (Marcus); P. Eelliott (Paul); M.R. Eerdos (Micheal); J.G. Eeriksson (Johan); N.B. Freimer (Nelson); M. Fu (Mao); S. Gaget (Stefan); E.J.C. Geus (Eco); A.P. Gjesing (Anette); H. Grallert (Harald); J. Gräßler (Jürgen); C.J. Groves (Christopher); C. Guiducci (Candace); A.L. Hartikainen; N. Hassanali (Neelam); A.S. Havulinna (Aki); K.H. Herzig; A.A. Hicks (Andrew); J. Hui (Jennie); W. Igl (Wilmar); P. Jousilahti (Pekka); A. Jula (Antti); E. Kajantie (Eero); L. Kinnunen (Leena); I. Kolcic (Ivana); S. Koskinen (Seppo); P. Kovacs (Peter); H.K. Kroemer (Heyo); V. Krzelj (Vjekoslav); J. Kuusisto (Johanna); K. Kvaløy (Kirsti); J. Laitinen (Jaana); O. Lantieri (Olivier); G.M. Lathrop (Mark); M.L. Lokki; R.N. Luben (Robert); B. Ludwig (Barbara); W.L. McArdle (Wendy); A. McCcarthy (Anne); M.A. Morken (Mario); M. Nelis (Mari); M.J. Neville (Matthew); G. Paré (Guillaume); A.N. Parker (Alex); J. Peden (John); I. Pichler (Irene); K.H. Pietilainen (Kirsi Hannele); C.P. Platou (Carl); A. Pouta (Anneli); M. Ridderstråle (Martin); N.J. Samani (Nilesh); J. Saramies (Jouko); J. Sinisalo (Juha); J.H. Smit (Jan); R.J. Strawbridge (Rona); H.M. Stringham (Heather); A.J. Swift (Amy); M. Teder-Llaving (Maris); B. Thomson (Brian); G. Usala; J.B.J. van Meurs (Joyce); G.J. van Ommen (Gert); V. Vatin (Vincent); C.B. Volpato; H. Wallaschofski (Henri); G.B. Walters (Bragi); E. Widen (Elisabeth); S.H. Wild (Sarah); G.A.H.M. Willemsen (Gonneke); D.R. Witte (Deniel); L. Zgaga (Lina); P. Zitting (Paavo); J.P. Beilby (John); A. James (Alan); M. Kähönen (Mika); T. Lehtimäki (Terho); M.S. Nieminen (Markku); C. Ohlsson (Claes); C. Palmer (Cameron); O. Raitakari (Olli); P.M. Ridker (Paul); M. Stumvoll (Michael); A. Tönjes (Anke); J. Viikari (Jorma); B. Balkau (Beverley); Y. Ben-Shlomo; R.N. Bergman (Richard); H. Boeing (Heiner); A.V. Smith (Albert Vernon); S. Eebrahim (Shah); P. Froguel (Philippe); T. Hansen (Torben); C. Hengstenberg (Christian); K. Hveem (Kristian); B. Isomaa (Bo); T. Jørgensen (Torben); F. Karpe (Fredrik); K-T. Khaw (Kay-Tee); M. Laakso (Markku); D.A. Lawlor (Debbie); M. Marre (Michel); T. Meitinger (Thomas); A. Metspalu (Andres); K. Midthjell (Kristian); O. Pedersen (Oluf); V. Salomaa (Veikko); P.E.H. Schwarz (Peter); T. Tuomi (Tiinamaija); J. Tuomilehto (Jaakko); T.T. Valle (Timo); N.J. Wareham (Nick); A.M. Arnold (Alice); J.S. Beckmann (Jacques); S.M. Bergmann (Sven); E.A. Boerwinkle (Eric); D.I. Boomsma (Dorret); M. Caulfield (Mark); F.S. Collins (Francis); G. Eeiriksdottir (Gudny); V. Gudnason (Vilmundur); U. Gyllensten (Ulf); A. Hamsten (Anders); A.T. Hattersley (Andrew); A. Hofman (Albert); F.B. Hu (Frank); T. Illig (Thomas); C. Iribarren (Carlos); M.R. Järvelin; W.H.L. Kao (Wen); J. Kaprio (Jaakko); L.J. Launer (Lenore); P. Munroe (Patricia); B.A. Oostra (Ben); B.W.J.H. Penninx (Brenda); P.P. Pramstaller (Peter Paul); B.M. Psaty (Bruce); T. Quertermous (Thomas); A. Rissanen (Aila); I. Rudan (Igor); A.R. Shuldiner (Alan); N. Soranzo (Nicole); T.D. Spector (Timothy); A.C. Syvanen; M. Uda (Manuela); A.G. Uitterlinden (André); H. Völzke (Henry); P. Vollenweider (Peter); J.F. Wilson (James); J.C.M. Witteman (Jacqueline); A.F. Wright (Alan); G.R. Abecasis (Gonçalo); M. Boehnke (Michael); I.B. Borecki (Ingrid); P. Deloukas (Panagiotis); T.M. Frayling (Timothy); L. Groop (Leif); T. Haritunians (Talin); D.J. Hunter (David); K.E. North (Kari); J.R. O'Cconnell (Jeffrey); L. Peltonen (Leena Johanna); D. Schlessinger; D.P. Strachan (David); J.N. Hirschhorn (Joel); T.L. Assimes (Themistocles); H.E. Wichmann (Heinz Erich); U. Thorsteinsdottir (Unnur); C.M. van Duijn (Cock); K. Stefansson (Kari); L.A. Cupples (Adrienne); R.J.F. Loos (Ruth); I. Barroso (Inês); C.S. Fox (Caroline); K.L. Mohlke (Karen); C.M. Lindgren (Cecilia); R.M. Watanabe (Richard); M.N. Weedon (Michael)

    2010-01-01

    textabstractWaist-hip ratio (WHR) is a measure of body fat distribution and a predictor of metabolic consequences independent of overall adiposity. WHR is heritable, but few genetic variants influencing this trait have been identified. We conducted a meta-analysis of 32 genome-wide association studi

  3. Global analysis of gene expression in NGF-deprived sympathetic neurons identifies molecular pathways associated with cell death

    Directory of Open Access Journals (Sweden)

    Kristiansen Mark

    2011-11-01

    Full Text Available Abstract Background Developing sympathetic neurons depend on nerve growth factor (NGF for survival and die by apoptosis after NGF withdrawal. This process requires de novo gene expression but only a small number of genes induced by NGF deprivation have been identified so far, either by a candidate gene approach or in mRNA differential display experiments. This is partly because it is difficult to obtain large numbers of sympathetic neurons for in vitro studies. Here, we describe for the first time, how advances in gene microarray technology have allowed us to investigate the expression of all known genes in sympathetic neurons cultured in the presence and absence of NGF. Results We have used Affymetrix Exon arrays to study the pattern of expression of all known genes in NGF-deprived sympathetic neurons. We identified 415 up- and 813 down-regulated genes, including most of the genes previously known to be regulated in this system. NGF withdrawal activates the mixed lineage kinase (MLK-c-Jun N-terminal kinase (JNK-c-Jun pathway which is required for NGF deprivation-induced death. By including a mixed lineage kinase (MLK inhibitor, CEP-11004, in our experimental design we identified which of the genes induced after NGF withdrawal are potential targets of the MLK-JNK-c-Jun pathway. A detailed Gene Ontology and functional enrichment analysis also identified genetic pathways that are highly enriched and overrepresented amongst the genes expressed after NGF withdrawal. Five genes not previously studied in sympathetic neurons - trib3, ddit3, txnip, ndrg1 and mxi1 - were validated by real time-PCR. The proteins encoded by these genes also increased in level after NGF withdrawal and this increase was prevented by CEP-11004, suggesting that these genes are potential targets of the MLK-JNK-c-Jun pathway. Conclusions The sympathetic neuron model is one of the best studied models of neuronal apoptosis. Overall, our microarray data gives a comprehensive

  4. Blood cis-eQTL analysis fails to identify novel association signals among sub-threshold candidates from genome-wide association studies in restless legs syndrome.

    Directory of Open Access Journals (Sweden)

    Eva C Schulte

    Full Text Available Restless legs syndrome (RLS is a common neurologic disorder characterized by nightly dysesthesias affecting the legs primarily during periods of rest and relieved by movement. RLS is a complex genetic disease and susceptibility factors in six genomic regions have been identified by means of genome-wide association studies (GWAS. For some complex genetic traits, expression quantitative trait loci (eQTLs are enriched among trait-associated single nucleotide polymorphisms (SNPs. With the aim of identifying new genetic susceptibility factors for RLS, we assessed the 332 best-associated SNPs from the genome-wide phase of the to date largest RLS GWAS for cis-eQTL effects in peripheral blood from individuals of European descent. In 740 individuals belonging to the KORA general population cohort, 52 cis-eQTLs with pnominal<10(-3 were identified, while in 976 individuals belonging to the SHIP-TREND general population study 53 cis-eQTLs with pnominal<10(-3 were present. 23 of these cis-eQTLs overlapped between the two cohorts. Subsequently, the twelve of the 23 cis-eQTL SNPs, which were not located at an already published RLS-associated locus, were tested for association in 2449 RLS cases and 1462 controls. The top SNP, located in the DET1 gene, was nominally significant (p<0.05 but did not withstand correction for multiple testing (p = 0.42. Although a similar approach has been used successfully with regard to other complex diseases, we were unable to identify new genetic susceptibility factor for RLS by adding this novel level of functional assessment to RLS GWAS data.

  5. Blood cis-eQTL Analysis Fails to Identify Novel Association Signals among Sub-Threshold Candidates from Genome-Wide Association Studies in Restless Legs Syndrome

    Science.gov (United States)

    Schulte, Eva C.; Schramm, Katharina; Schurmann, Claudia; Lichtner, Peter; Herder, Christian; Roden, Michael; Gieger, Christian; Peters, Annette; Trenkwalder, Claudia; Högl, Birgit; Frauscher, Birgit; Berger, Klaus; Fietze, Ingo; Gross, Nadine; Stiasny-Kolster, Karin; Oertel, Wolfgang; Bachmann, Cornelius G.; Paulus, Walter; Zimprich, Alexander; Völzke, Henry; Schminke, Ulf; Nauck, Matthias; Illig, Thomas; Meitinger, Thomas; Müller-Myhsok, Bertram; Prokisch, Holger; Winkelmann, Juliane

    2014-01-01

    Restless legs syndrome (RLS) is a common neurologic disorder characterized by nightly dysesthesias affecting the legs primarily during periods of rest and relieved by movement. RLS is a complex genetic disease and susceptibility factors in six genomic regions have been identified by means of genome-wide association studies (GWAS). For some complex genetic traits, expression quantitative trait loci (eQTLs) are enriched among trait-associated single nucleotide polymorphisms (SNPs). With the aim of identifying new genetic susceptibility factors for RLS, we assessed the 332 best-associated SNPs from the genome-wide phase of the to date largest RLS GWAS for cis-eQTL effects in peripheral blood from individuals of European descent. In 740 individuals belonging to the KORA general population cohort, 52 cis-eQTLs with pnominal<10−3 were identified, while in 976 individuals belonging to the SHIP-TREND general population study 53 cis-eQTLs with pnominal<10−3 were present. 23 of these cis-eQTLs overlapped between the two cohorts. Subsequently, the twelve of the 23 cis-eQTL SNPs, which were not located at an already published RLS-associated locus, were tested for association in 2449 RLS cases and 1462 controls. The top SNP, located in the DET1 gene, was nominally significant (p<0.05) but did not withstand correction for multiple testing (p = 0.42). Although a similar approach has been used successfully with regard to other complex diseases, we were unable to identify new genetic susceptibility factor for RLS by adding this novel level of functional assessment to RLS GWAS data. PMID:24875634

  6. Genetic analysis of completely sequenced disease-associated MHC haplotypes identifies shuffling of segments in recent human history.

    Directory of Open Access Journals (Sweden)

    James A Traherne

    2006-01-01

    Full Text Available The major histocompatibility complex (MHC is recognised as one of the most important genetic regions in relation to common human disease. Advancement in identification of MHC genes that confer susceptibility to disease requires greater knowledge of sequence variation across the complex. Highly duplicated and polymorphic regions of the human genome such as the MHC are, however, somewhat refractory to some whole-genome analysis methods. To address this issue, we are employing a bacterial artificial chromosome (BAC cloning strategy to sequence entire MHC haplotypes from consanguineous cell lines as part of the MHC Haplotype Project. Here we present 4.25 Mb of the human haplotype QBL (HLA-A26-B18-Cw5-DR3-DQ2 and compare it with the MHC reference haplotype and with a second haplotype, COX (HLA-A1-B8-Cw7-DR3-DQ2, that shares the same HLA-DRB1, -DQA1, and -DQB1 alleles. We have defined the complete gene, splice variant, and sequence variation contents of all three haplotypes, comprising over 259 annotated loci and over 20,000 single nucleotide polymorphisms (SNPs. Certain coding sequences vary significantly between different haplotypes, making them candidates for functional and disease-association studies. Analysis of the two DR3 haplotypes allowed delineation of the shared sequence between two HLA class II-related haplotypes differing in disease associations and the identification of at least one of the sites that mediated the original recombination event. The levels of variation across the MHC were similar to those seen for other HLA-disparate haplotypes, except for a 158-kb segment that contained the HLA-DRB1, -DQA1, and -DQB1 genes and showed very limited polymorphism compatible with identity-by-descent and relatively recent common ancestry (<3,400 generations. These results indicate that the differential disease associations of these two DR3 haplotypes are due to sequence variation outside this central 158-kb segment, and that shuffling of

  7. Genome-wide association analysis identifies a mutation in the thiamine transporter 2 (SLC19A3 gene associated with Alaskan Husky encephalopathy.

    Directory of Open Access Journals (Sweden)

    Karen M Vernau

    Full Text Available Alaskan Husky Encephalopathy (AHE has been previously proposed as a mitochondrial encephalopathy based on neuropathological similarities with human Leigh Syndrome (LS. We studied 11 Alaskan Husky dogs with AHE, but found no abnormalities in respiratory chain enzyme activities in muscle and liver, or mutations in mitochondrial or nuclear genes that cause LS in people. A genome wide association study was performed using eight of the affected dogs and 20 related but unaffected control AHs using the Illumina canine HD array. SLC19A3 was identified as a positional candidate gene. This gene controls the uptake of thiamine in the CNS via expression of the thiamine transporter protein THTR2. Dogs have two copies of this gene located within the candidate interval (SLC19A3.2 - 43.36-43.38 Mb and SLC19A3.1 - 43.411-43.419 Mb on chromosome 25. Expression analysis in a normal dog revealed that one of the paralogs, SLC19A3.1, was expressed in the brain and spinal cord while the other was not. Subsequent exon sequencing of SLC19A3.1 revealed a 4bp insertion and SNP in the second exon that is predicted to result in a functional protein truncation of 279 amino acids (c.624 insTTGC, c.625 C>A. All dogs with AHE were homozygous for this mutation, 15/41 healthy AH control dogs were heterozygous carriers while 26/41 normal healthy AH dogs were wild type. Furthermore, this mutation was not detected in another 187 dogs of different breeds. These results suggest that this mutation in SLC19A3.1, encoding a thiamine transporter protein, plays a critical role in the pathogenesis of AHE.

  8. ASSOCIATION OF COSTUMER VALUE CHAIN ANALYSIS TO QUALITY FUNCTION DEPLOYMENT: DIFFERENT IDENTIFIED COSTUMERS AND REQUIREMENTS ON DEVELOPMENT OF CPM DEVICE

    Directory of Open Access Journals (Sweden)

    Raffaela Leane Zenni Tanure

    2013-06-01

    Full Text Available This study aims to present the differences between the use of QFD and its association with CVCA tool in the development of a CPM device for elbow and forearm rehabilitation. To achieve this goal, the study was divided into three steps. The development of a conceptual model that integrates the proposed CVCA + QFD tool for application in the health device development was done in the first step. The second step consisted of applying the proposed model, referring to the QFD method using 8 matrixes: quality matrix, product, characteristics of the parts, process, process parameters, human resources, infrastructure and costs matrix. The proposed conceptual model was employed fully in the third step, allowing the comparison between the methods. The results enabled to identify a discrepancy between the critical costumers in the use of mentioned methods. Customers were limited to the direct and indirect users in the QFD application: the patient, physician and physical therapist. This list got a considerable increase when CVCA was applied: the clinical engineering, product engineering, process and reliability engineering, project and product managers, financial sector, quality system and regulatory issues. These results show the importance of analyzing the supply chain systemically in order to consider all stakeholders to the CPM device development. Thus, needs and relationships delineation of all process customers can be done.

  9. Genome-Wide Association Analysis in Asthma Subjects Identifies SPATS2L as a Novel Bronchodilator Response Gene

    Science.gov (United States)

    Himes, Blanca E.; Jiang, Xiaofeng; Hu, Ruoxi; Wu, Ann C.; Lasky-Su, Jessica A.; Klanderman, Barbara J.; Ziniti, John; Senter-Sylvia, Jody; Lima, John J.; Irvin, Charles G.; Peters, Stephen P.; Meyers, Deborah A.; Bleecker, Eugene R.; Kubo, Michiaki; Tamari, Mayumi; Nakamura, Yusuke; Szefler, Stanley J.; Lemanske, Robert F.; Zeiger, Robert S.; Strunk, Robert C.; Martinez, Fernando D.; Hanrahan, John P.; Koppelman, Gerard H.; Postma, Dirkje S.; Nieuwenhuis, Maartje A. E.; Vonk, Judith M.; Panettieri, Reynold A.; Markezich, Amy; Israel, Elliot; Carey, Vincent J.; Tantisira, Kelan G.; Litonjua, Augusto A.; Lu, Quan; Weiss, Scott T.

    2012-01-01

    Bronchodilator response (BDR) is an important asthma phenotype that measures reversibility of airway obstruction by comparing lung function (i.e. FEV1) before and after the administration of a short-acting β2-agonist, the most common rescue medications used for the treatment of asthma. BDR also serves as a test of β2-agonist efficacy. BDR is a complex trait that is partly under genetic control. A genome-wide association study (GWAS) of BDR, quantified as percent change in baseline FEV1 after administration of a β2-agonist, was performed with 1,644 non-Hispanic white asthmatic subjects from six drug clinical trials: CAMP, LOCCS, LODO, a medication trial conducted by Sepracor, CARE, and ACRN. Data for 469,884 single-nucleotide polymorphisms (SNPs) were used to measure the association of SNPs with BDR using a linear regression model, while adjusting for age, sex, and height. Replication of primary P-values was attempted in 501 white subjects from SARP and 550 white subjects from DAG. Experimental evidence supporting the top gene was obtained via siRNA knockdown and Western blotting analyses. The lowest overall combined P-value was 9.7E-07 for SNP rs295137, near the SPATS2L gene. Among subjects in the primary analysis, those with rs295137 TT genotype had a median BDR of 16.0 (IQR = [6.2, 32.4]), while those with CC or TC genotypes had a median BDR of 10.9 (IQR = [5.0, 22.2]). SPATS2L mRNA knockdown resulted in increased β2-adrenergic receptor levels. Our results suggest that SPATS2L may be an important regulator of β2-adrenergic receptor down-regulation and that there is promise in gaining a better understanding of the biological mechanisms of differential response to β2-agonists through GWAS. PMID:22792082

  10. A potential novel spontaneous preterm birth gene, AR, identified by linkage and association analysis of X chromosomal markers.

    Directory of Open Access Journals (Sweden)

    Minna K Karjalainen

    Full Text Available Preterm birth is the major cause of neonatal mortality and morbidity. In many cases, it has severe life-long consequences for the health and neurological development of the newborn child. More than 50% of all preterm births are spontaneous, and currently there is no effective prevention. Several studies suggest that genetic factors play a role in spontaneous preterm birth (SPTB. However, its genetic background is insufficiently characterized. The aim of the present study was to perform a linkage analysis of X chromosomal markers in SPTB in large northern Finnish families with recurrent SPTBs. We found a significant linkage signal (HLOD = 3.72 on chromosome locus Xq13.1 when the studied phenotype was being born preterm. There were no significant linkage signals when the studied phenotype was giving preterm deliveries. Two functional candidate genes, those encoding the androgen receptor (AR and the interleukin-2 receptor gamma subunit (IL2RG, located near this locus were analyzed as candidates for SPTB in subsequent case-control association analyses. Nine single-nucleotide polymorphisms (SNPs within these genes and an AR exon-1 CAG repeat, which was previously demonstrated to be functionally significant, were analyzed in mothers with preterm delivery (n = 272 and their offspring (n = 269, and in mothers with exclusively term deliveries (n = 201 and their offspring (n = 199, all originating from northern Finland. A replication study population consisting of individuals born preterm (n = 111 and term (n = 197 from southern Finland was also analyzed. Long AR CAG repeats (≥ 26 were overrepresented and short repeats (≤ 19 underrepresented in individuals born preterm compared to those born at term. Thus, our linkage and association results emphasize the role of the fetal genome in genetic predisposition to SPTB and implicate AR as a potential novel fetal susceptibility gene for SPTB.

  11. Meta-analysis of genome-wide association studies from the CHARGE consortium identifies common variants associated with carotid intima media thickness and plaque

    NARCIS (Netherlands)

    J.C. Bis (Joshua); M. Kavousi (Maryam); N. Franceschini (Nora); A.J. Isaacs (Aaron); G.R. Abecasis (Gonçalo); U. Schminke (Ulf); W.S. Post (Wendy S.); A.V. Smith (Albert Vernon); L.A. Cupples (Adrienne); H.S. Markus (Hugh S.); R. Schmidt (Reinhold); J.E. Huffman (Jennifer); T. Lehtimäki (Terho); J. Baumert (Jens); T. Münzel (Thomas); S.R. Heckbert (Susan); A. Dehghan (Abbas); K.E. North (Kari); B.A. Oostra (Ben); S. Bevan (Steve); E.M. Stoegerer (Eva Maria); C. Hayward (Caroline); O. Raitakari (Olli); C. Meisinger (Christa); A. Schillert (Arne); S. Sanna (Serena); H. Völzke (Henry); Y.C. Cheng (Yu Ching); B. Thorsson (Bolli); C.S. Fox (Caroline); K. Rice (Kenneth); F. Rivadeneira Ramirez (Fernando); V. Nambi (Vijay); E. Halperin (Eran); K. Petrovic (Katja); L. Peltonen (Leena Johanna); H.E. Wichmann (Heinz Erich); R.B. Schnabel (Renate); M. Dörr (Marcus); A. Parsa (Afshin); T. Aspelund (Thor); S. Demissie (Serkalem); S. Kathiresan (Sekar); M.P. Reilly (Muredach); K.D. Taylor (Kent); A.G. Uitterlinden (André); D.J. Couper (David); M. Sitzer (Matthias); M. Kähönen (Mika); T. Illig (Thomas); P.S. Wild (Philipp); M. Orrù (Marco); J. Lüdemann (Jan); A.R. Shuldiner (Alan); G. Eiriksdottir (Gudny); C.C. White (Charles); J.I. Rotter (Jerome); A. Hofman (Albert); J. Seissler (Jochen); T. Zeller (Tanja); G. Usala; F.D.J. Ernst (Florian); L.J. Launer (Lenore); R.B. D'Agostino (Ralph); D.H. O'Leary (Daniel H.); C. Ballantyne (Christie); J.P. Thiery (Joachim); A. Ziegler (Andreas); E. Lakatta (Edward); R.K. Chilukoti (Ravi Kumar); T.B. Harris (Tamara); P.A. Wolf (Philip); B.M. Psaty (Bruce); J.F. Polak (Joseph F.); X. Li (Xiaohui); W. Rathmann (Wolfgang); M. Uda (Manuela); E.A. Boerwinkle (Eric); N. Klopp (Norman); J.F. Wilson (James); J. Viikari (Jorma); W. Koenig (Wolfgang); S. Blankenberg (Stefan); A.B. Newman (Anne); J.C.M. Witteman (Jacqueline); G. Heiss (Gerardo); C.M. van Duijn (Cock); A. Scuteri (Angelo); G. Homuth (Georg); B.D. Mitchell (Braxton); V. Gudnason (Vilmundur); C.J. O'Donnell (Christopher)

    2011-01-01

    textabstractCarotid intima media thickness (cIMT) and plaque determined by ultrasonography are established measures of subclinical atherosclerosis that each predicts future cardiovascular disease events. We conducted a meta-analysis of genome-wide association data in 31,211 participants of European

  12. A comprehensive analysis of genome-wide association studies to identify prostate cancer susceptibility loci for the Romanian population.

    Science.gov (United States)

    Rădăvoi, George Daniel; Pricop, Cătălin; Jinga, Viorel; Mateş, Dana; Rădoi, Viorica Elena; Jinga, Mariana; Ursu, Radu Ioan; Bratu, Ovidiu Gabriel; Mischianu, Dan Liviu Dorel; Iordache, Paul

    2016-01-01

    The aim of this study is to examine a large dataset of single nucleotide polymorphism known to be associated with prostate cancer from previous genome-wide association studies and create a dataset of single nucleotide polymorphisms that can be used in replication studies for the Romanian population. This study will define a list of markers showing a significant association with this phenotype. We propose the results of this study as a starting point for any Romanian genome-wide association studies researching the genetic susceptibility for prostate cancer.

  13. Genome-wide association meta-analysis of human longevity identifies a novel locus conferring survival beyond 90 years of age.

    Science.gov (United States)

    Deelen, Joris; Beekman, Marian; Uh, Hae-Won; Broer, Linda; Ayers, Kristin L; Tan, Qihua; Kamatani, Yoichiro; Bennet, Anna M; Tamm, Riin; Trompet, Stella; Guðbjartsson, Daníel F; Flachsbart, Friederike; Rose, Giuseppina; Viktorin, Alexander; Fischer, Krista; Nygaard, Marianne; Cordell, Heather J; Crocco, Paolina; van den Akker, Erik B; Böhringer, Stefan; Helmer, Quinta; Nelson, Christopher P; Saunders, Gary I; Alver, Maris; Andersen-Ranberg, Karen; Breen, Marie E; van der Breggen, Ruud; Caliebe, Amke; Capri, Miriam; Cevenini, Elisa; Collerton, Joanna C; Dato, Serena; Davies, Karen; Ford, Ian; Gampe, Jutta; Garagnani, Paolo; de Geus, Eco J C; Harrow, Jennifer; van Heemst, Diana; Heijmans, Bastiaan T; Heinsen, Femke-Anouska; Hottenga, Jouke-Jan; Hofman, Albert; Jeune, Bernard; Jonsson, Palmi V; Lathrop, Mark; Lechner, Doris; Martin-Ruiz, Carmen; Mcnerlan, Susan E; Mihailov, Evelin; Montesanto, Alberto; Mooijaart, Simon P; Murphy, Anne; Nohr, Ellen A; Paternoster, Lavinia; Postmus, Iris; Rivadeneira, Fernando; Ross, Owen A; Salvioli, Stefano; Sattar, Naveed; Schreiber, Stefan; Stefánsson, Hreinn; Stott, David J; Tiemeier, Henning; Uitterlinden, André G; Westendorp, Rudi G J; Willemsen, Gonneke; Samani, Nilesh J; Galan, Pilar; Sørensen, Thorkild I A; Boomsma, Dorret I; Jukema, J Wouter; Rea, Irene Maeve; Passarino, Giuseppe; de Craen, Anton J M; Christensen, Kaare; Nebel, Almut; Stefánsson, Kári; Metspalu, Andres; Magnusson, Patrik; Blanché, Hélène; Christiansen, Lene; Kirkwood, Thomas B L; van Duijn, Cornelia M; Franceschi, Claudio; Houwing-Duistermaat, Jeanine J; Slagboom, P Eline

    2014-08-15

    The genetic contribution to the variation in human lifespan is ∼ 25%. Despite the large number of identified disease-susceptibility loci, it is not known which loci influence population mortality. We performed a genome-wide association meta-analysis of 7729 long-lived individuals of European descent (≥ 85 years) and 16 121 younger controls (<65 years) followed by replication in an additional set of 13 060 long-lived individuals and 61 156 controls. In addition, we performed a subset analysis in cases aged ≥ 90 years. We observed genome-wide significant association with longevity, as reflected by survival to ages beyond 90 years, at a novel locus, rs2149954, on chromosome 5q33.3 (OR = 1.10, P = 1.74 × 10(-8)). We also confirmed association of rs4420638 on chromosome 19q13.32 (OR = 0.72, P = 3.40 × 10(-36)), representing the TOMM40/APOE/APOC1 locus. In a prospective meta-analysis (n = 34 103), the minor allele of rs2149954 (T) on chromosome 5q33.3 associates with increased survival (HR = 0.95, P = 0.003). This allele has previously been reported to associate with low blood pressure in middle age. Interestingly, the minor allele (T) associates with decreased cardiovascular mortality risk, independent of blood pressure. We report on the first GWAS-identified longevity locus on chromosome 5q33.3 influencing survival in the general European population. The minor allele of this locus associates with low blood pressure in middle age, although the contribution of this allele to survival may be less dependent on blood pressure. Hence, the pleiotropic mechanisms by which this intragenic variation contributes to lifespan regulation have to be elucidated.

  14. Proteins associated with the size and expansion rate of the abdominal aortic aneurysm wall as identified by proteomic analysis

    DEFF Research Database (Denmark)

    Urbonavicius, Sigitas; Lindholt, Jes S.; Delbosc, Sandrine

    2010-01-01

    Identification of biomarkers for the natural history of abdominal aortic aneurysms (AAA) holds the key to non-surgical intervention and improved selection for AAA repair. We aimed to associate the basic proteomic composition of AAA wall tissue with the expansion rate and size in patients with AAA....

  15. Transcriptome Analysis to Identify the Putative Biosynthesis and Transport Genes Associated with the Medicinal Components of Achyranthes bidentata Bl.

    Directory of Open Access Journals (Sweden)

    Jinting Li

    2016-12-01

    Full Text Available Achyranthes bidentata is a popular perennial medicine herb used for thousands of years in China to treat various diseases. Although this herb has multiple pharmaceutical purposes in China, no transcriptomic information has been reported for this species. In addition, the understanding of several key pathways and enzymes involved in the biosynthesis of oleanolic acid and ecdysterone, two pharmacologically active classes of metabolites and major chemical constituents of A. bidentata root extracts, is limited. The aim of the present study was to characterize the transcriptome profile of the roots and leaves of A. bidentata to uncover the biosynthetic and transport mechanisms of the active components. In this study, we identified 100,987 transcripts, with an average length of 973.64 base pairs. A total of 31,634 (31.33% unigenes were annotated, and 12,762 unigenes were mapped to 303 pathways according to the Kyoto Encyclopedia of Genes and Genomes (KEGG pathway database. Moreover, we identified a total of 260 oleanolic acid and ecdysterone genes encoding biosynthetic enzymes. Furthermore, the key enzymes involved in the oleanolic acid and ecdysterone synthesis pathways were analyzed using quantitative real-time polymerase chain reaction (qRT-PCR, revealing that the roots expressed these enzymes to a greater extent than the leaves. In addition, we identified 85 ATP-binding cassette (ABC transporters, some of which might be involved in the translocation of secondary metabolites.

  16. Four Susceptibility Loci for Gallstone Disease Identified in a Meta-analysis of Genome-Wide Association Studies

    DEFF Research Database (Denmark)

    Joshi, Amit D; Andersson, Charlotte; Stender, Stefan

    2016-01-01

    .07-1.17; P = 2.55 × 10(-10)), and rs6471717 near CYP7A1 (encodes an enzyme that catalyzes conversion of cholesterol to primary bile acids) (OR, 1.11; 95% CI, 1.08-1.15; P = 8.84 × 10(-9)). Among individuals of African American and Hispanic American ancestry, rs11887534 and rs4245791 were associated...

  17. Meta-analysis of gene-environment-wide association scans accounting for education level identifies additional loci for refractive error

    NARCIS (Netherlands)

    Q. Fan (Qiao); V.J.M. Verhoeven (Virginie); R. Wojciechowski (Robert); V.A. Barathi (Veluchamy); P.G. Hysi (Pirro); J. Guggenheim (Jean); R. Höhn (René); V. Vitart (Veronique); A.P. Khawaja (Anthony P.); K. Yamashiro (Kenji); S.M. Hosseini (S Mohsen); T. Lehtimäki (Terho); Y. Lu (Yi); T. Haller (Toomas); J. Xie (Jing); C. Delcourt (Cécile); M. Pirastu (Mario); J. Wedenoja (Juho); P. Gharahkhani (Puya); C. Venturini (Cristina); M. Miyake (Masahiro); A.W. Hewit (Alex); X. Guo (Xiaobo); J. Mazur (Johanna); J.E. Huffman (Jenifer E.); K.M. Williams (Katie M.); O. Polasek (Ozren); H. Campbell (Harry); I. Rudan (Igor); Z. Vatavuk (Zoran); J.F. Wilson (James F); P.K. Joshi (Peter); G. Mcmahon (George); B. St Pourcain (Beate); D.M. Evans (David); C.L. Simpson (Claire); T.-H. Schwantes-An (Tae-Hwi); R.P. Igo Jr. (Robert); A. Mirshahi (Alireza); A. Cougnard-Grégoire (Audrey); C. Bellenguez (Céline); M. Blettner (Maria); O. Raitakari (Olli); M. Kähönen (Mika); I. Seppälä (Ilkka); T. Zeller (Tanja); T. Meitinger (Thomas); J.S. Ried (Janina); C. Gieger (Christian); L. Portas (Laura); E.M. van Leeuwen (Elisa); N. Amin (Najaf); A.G. Uitterlinden (André); F. Rivadeneira Ramirez (Fernando); A. Hofman (Albert); J.R. Vingerling (Hans); Y. Wang (Ying); X. Wang (Xu); E. Tai-Hui Boh (Eileen); M.K. Ikram (Kamran); C. Sabanayagam (Charumathi); P. Gupta (Preeti); V. Tan (Vincent); L. Zhou (Lei); C.E.H. Ho (Candice E. H.); W. Lim (Wan'E); R.W. Beuerman (Roger W.); R. Siantar (Rosalynn); E.-S. Tai (E-Shyong); E.N. Vithana (Eranga); E. Mihailov (Evelin); C.C. Khor; C. Hayward (Caroline); R.N. Luben (Robert); P.J. Foster (Paul); B.E.K. Klein (Barbara); R. Klein (Ronald); H.-S. Wong (Hoi-Suen); P. Mitchell (Paul); A. Metspalu (Andres); T. Aung (Tin); T.L. Young (Terri L.); M. He (Mingguang); O. Pärssinen (Olavi); C.M. van Duijn (Cock); J. Jin Wang (Jie); C. Williams (Cathy); J.B. Jonas (Jost B.); Y.Y. Teo (Yik Ying); D.A. Mackey (David); K. Oexle (Konrad); N. Yoshimura; A.D. Paterson (Andrew D.); N. Pfeiffer (Norbert); T.-Y. Wong (Tien-Yin); P.N. Baird (Paul); D. Stambolian (Dwight); J.E.B. Wilson (Joan E. Bailey); C-Y. Cheng (Ching-Yu); C.J. Hammond (Christopher J.); C.C.W. Klaver (Caroline); S-M. Saw (Seang-Mei); J.S. Rahi (Jugnoo); J.-F. Korobelnik (Jean-François); J.P. Kemp (John); N. Timpson (Nicholas); G.D. Smith; J.E. Craig (Jamie E.); K.P. Burdon (Kathryn P.); R. Fogarty (Rhys); S.K. Iyengar (Sudha); E.Y. Chew (Emily); S. Janmahasatian (Sarayut); N.G. Martin (Nicholas); S. MacGregor (Stuart); L. Xu (Liang); M. Schache (Maria); M. Nangia (Monika); S. Panda-Jonas (Songhomitra); A.F. Wright (Alan); J.R. Fondran (Jeremy R.); J.H. Lass (Jonathan H.); S. Feng (Sheng); J.H. Zhao (Jing Hua); K.T. Khaw; N.J. Wareham (Nick); T. Rantanen (Taina); J. Kaprio (Jaakko); C.P. Pang (Chi Pui); L.J. Chen (Li Jia); P.O. Tam (Pancy O.); V. Jhanji (Vishal); A.L. Young (Alvin L.); A. Döring (Angela); L.J. Raffel (Leslie); M.-F. Cotch (Mary-Frances); X. Li (Xiaohui); S.P. Yip (Shea Ping); M.K.H. Yap (Maurice K.H.); G. Biino; S. Vaccargiu (Simona); M. Fossarello (Maurizio); B. Fleck (Brian); S. Yazar (Seyhan); J.W.L. Tideman (J. Willem L.); M. Tedja (Milly); T. Léveillard (Thierry); M.A. Morrison (Margaux A.); L.A. Farrer (Lindsay); X. Zhou (Xiangtian); W. Chen (Wei); N. Mizuki (Nobuhisa); A. Meguro (Akira); K.M. Makela (Kari Matti)

    2016-01-01

    textabstractMyopia is the most common human eye disorder and it results from complex genetic and environmental causes. The rapidly increasing prevalence of myopia poses a major public health challenge. Here, the CREAM consortium performs a joint meta-analysis to test single-nucleotide polymorphism (

  18. Meta-Analysis of Genome-Wide Association Studies and Network Analysis-Based Integration with Gene Expression Data Identify New Suggestive Loci and Unravel a Wnt-Centric Network Associated with Dupuytren’s Disease

    Science.gov (United States)

    Becker, Kerstin; Siegert, Sabine; Toliat, Mohammad Reza; Du, Juanjiangmeng; Casper, Ramona; Dolmans, Guido H.; Werker, Paul M.; Tinschert, Sigrid; Franke, Andre; Gieger, Christian; Strauch, Konstantin; Nothnagel, Michael; Nürnberg, Peter; Hennies, Hans Christian

    2016-01-01

    Dupuytren´s disease, a fibromatosis of the connective tissue in the palm, is a common complex disease with a strong genetic component. Up to date nine genetic loci have been found to be associated with the disease. Six of these loci contain genes that code for Wnt signalling proteins. In spite of this striking first insight into the genetic factors in Dupuytren´s disease, much of the inherited risk in Dupuytren´s disease still needs to be discovered. The already identified loci jointly explain ~1% of the heritability in this disease. To further elucidate the genetic basis of Dupuytren´s disease, we performed a genome-wide meta-analysis combining three genome-wide association study (GWAS) data sets, comprising 1,580 cases and 4,480 controls. We corroborated all nine previously identified loci, six of these with genome-wide significance (p-value Dupuytren´s disease. PMID:27467239

  19. Meta-Analysis of Genome-Wide Association Studies for Abdominal Aortic Aneurysm Identifies Four New Disease-Specific Risk Loci

    Science.gov (United States)

    Tromp, Gerard; Kuivaniemi, Helena; Gretarsdottir, Solveig; Baas, Annette F.; Giusti, Betti; Strauss, Ewa; van‘t Hof, Femke N.G.; Webb, Thomas R.; Erdman, Robert; Ritchie, Marylyn D.; Elmore, James R.; Verma, Anurag; Pendergrass, Sarah; Kullo, Iftikhar J.; Ye, Zi; Peissig, Peggy L.; Gottesman, Omri; Verma, Shefali S.; Malinowski, Jennifer; Rasmussen-Torvik, Laura J.; Borthwick, Kenneth M.; Smelser, Diane T.; Crosslin, David R.; de Andrade, Mariza; Ryer, Evan J.; McCarty, Catherine A.; Böttinger, Erwin P.; Pacheco, Jennifer A.; Crawford, Dana C.; Carrell, David S.; Gerhard, Glenn S.; Franklin, David P.; Carey, David J.; Phillips, Victoria L.; Williams, Michael J.A.; Wei, Wenhua; Blair, Ross; Hill, Andrew A.; Vasudevan, Thodor M.; Lewis, David R.; Thomson, Ian A.; Krysa, Jo; Hill, Geraldine B.; Roake, Justin; Merriman, Tony R.; Oszkinis, Grzegorz; Galora, Silvia; Saracini, Claudia; Abbate, Rosanna; Pulli, Raffaele; Pratesi, Carlo; Saratzis, Athanasios; Verissimo, Ana R.; Bumpstead, Suzannah; Badger, Stephen A.; Clough, Rachel E.; Cockerill, Gillian; Hafez, Hany; Scott, D. Julian A.; Futers, T. Simon; Romaine, Simon P.R.; Bridge, Katherine; Griffin, Kathryn J.; Bailey, Marc A.; Smith, Alberto; Thompson, Matthew M.; van Bockxmeer, Frank M.; Matthiasson, Stefan E.; Thorleifsson, Gudmar; Thorsteinsdottir, Unnur; Blankensteijn, Jan D.; Teijink, Joep A.W.; Wijmenga, Cisca; de Graaf, Jacqueline; Kiemeney, Lambertus A.; Lindholt, Jes S.; Hughes, Anne; Bradley, Declan T.; Stirrups, Kathleen; Golledge, Jonathan; Norman, Paul E.; Powell, Janet T.; Humphries, Steve E.; Hamby, Stephen E.; Goodall, Alison H.; Nelson, Christopher P.; Sakalihasan, Natzi; Courtois, Audrey; Ferrell, Robert E.; Eriksson, Per; Folkersen, Lasse; Franco-Cereceda, Anders; Eicher, John D.; Johnson, Andrew D.; Betsholtz, Christer; Ruusalepp, Arno; Franzén, Oscar; Schadt, Eric E.; Björkegren, Johan L.M.; Lipovich, Leonard; Drolet, Anne M.; Verhoeven, Eric L.; Zeebregts, Clark J.; Geelkerken, Robert H.; van Sambeek, Marc R.; van Sterkenburg, Steven M.; de Vries, Jean-Paul; Stefansson, Kari; Thompson, John R.; de Bakker, Paul I.W.; Deloukas, Panos; Sayers, Robert D.; Harrison, Seamus C.; van Rij, Andre M.; Samani, Nilesh J.

    2017-01-01

    Rationale: Abdominal aortic aneurysm (AAA) is a complex disease with both genetic and environmental risk factors. Together, 6 previously identified risk loci only explain a small proportion of the heritability of AAA. Objective: To identify additional AAA risk loci using data from all available genome-wide association studies. Methods and Results: Through a meta-analysis of 6 genome-wide association study data sets and a validation study totaling 10 204 cases and 107 766 controls, we identified 4 new AAA risk loci: 1q32.3 (SMYD2), 13q12.11 (LINC00540), 20q13.12 (near PCIF1/MMP9/ZNF335), and 21q22.2 (ERG). In various database searches, we observed no new associations between the lead AAA single nucleotide polymorphisms and coronary artery disease, blood pressure, lipids, or diabetes mellitus. Network analyses identified ERG, IL6R, and LDLR as modifiers of MMP9, with a direct interaction between ERG and MMP9. Conclusions: The 4 new risk loci for AAA seem to be specific for AAA compared with other cardiovascular diseases and related traits suggesting that traditional cardiovascular risk factor management may only have limited value in preventing the progression of aneurysmal disease. PMID:27899403

  20. ASSOCIATION OF COSTUMER VALUE CHAIN ANALYSIS TO QUALITY FUNCTION DEPLOYMENT: DIFFERENT IDENTIFIED COSTUMERS AND REQUIREMENTS ON DEVELOPMENT OF CPM DEVICE

    OpenAIRE

    2013-01-01

    This study aims to present the differences between the use of QFD and its association with CVCA tool in the development of a CPM device for elbow and forearm rehabilitation. To achieve this goal, the study was divided into three steps. The development of a conceptual model that integrates the proposed CVCA + QFD tool for application in the health device development was done in the first step. The second step consisted of applying the proposed model, referring to the QFD method using 8 matrixe...

  1. Analysis of five chronic inflammatory diseases identifies 27 new associations and highlights disease-specific patterns at shared loci

    Science.gov (United States)

    Ellinghaus, David; Jostins, Luke; Spain, Sarah L; Cortes, Adrian; Bethune, Jörn; Han, Buhm; Park, Yu Rang; Raychaudhuri, Soumya; Pouget, Jennie G; Hübenthal, Matthias; Folseraas, Trine; Wang, Yunpeng; Esko, Tonu; Metspalu, Andres; Westra, Harm-Jan; Franke, Lude; Pers, Tune H; Weersma, Rinse K; Collij, Valerie; D'Amato, Mauro; Halfvarson, Jonas; Jensen, Anders Boeck; Lieb, Wolfgang; Degenhardt, Franziska; Forstner, Andreas J; Hofmann, Andrea; Schreiber, Stefan; Mrowietz, Ulrich; Juran, Brian D; Lazaridis, Konstantinos N; Brunak, Søren; Dale, Anders M; Trembath, Richard C; Weidinger, Stephan; Weichenthal, Michael; Ellinghaus, Eva; Elder, James T; Barker, Jonathan NWN; Andreassen, Ole A; McGovern, Dermot P; Karlsen, Tom H; Barrett, Jeffrey C; Parkes, Miles; Brown, Matthew A; Franke, Andre

    2016-01-01

    We simultaneously investigated the genetic landscape of ankylosing spondylitis, Crohn's disease, psoriasis, primary sclerosing cholangitis and ulcerative colitis to investigate pleiotropy and the relationship between these clinically related diseases. Using high-density genotype data from more than 86,000 individuals of European-ancestry we identified 244 independent multi-disease signals including 27 novel genome-wide significant susceptibility loci and 3 unreported shared risk loci. Complex pleiotropy was supported when contrasting multi-disease signals with expression data sets from human, rat and mouse, and epigenetic and expressed enhancer profiles. The comorbidities among the five immune diseases were best explained by biological pleiotropy rather than heterogeneity (a subgroup of cases that is genetically identical to another disease, possibly due to diagnostic misclassification, molecular subtypes, or excessive comorbidity). In particular, the strong comorbidity between primary sclerosing cholangitis and inflammatory bowel disease is likely the result of a unique disease, which is genetically distinct from classical inflammatory bowel disease phenotypes. PMID:26974007

  2. Genome-Wide Analysis in Three Fusarium Pathogens Identifies Rapidly Evolving Chromosomes and Genes Associated with Pathogenicity.

    Science.gov (United States)

    Sperschneider, Jana; Gardiner, Donald M; Thatcher, Louise F; Lyons, Rebecca; Singh, Karam B; Manners, John M; Taylor, Jennifer M

    2015-05-19

    Pathogens and hosts are in an ongoing arms race and genes involved in host-pathogen interactions are likely to undergo diversifying selection. Fusarium plant pathogens have evolved diverse infection strategies, but how they interact with their hosts in the biotrophic infection stage remains puzzling. To address this, we analyzed the genomes of three Fusarium plant pathogens for genes that are under diversifying selection. We found a two-speed genome structure both on the chromosome and gene group level. Diversifying selection acts strongly on the dispensable chromosomes in Fusarium oxysporum f. sp. lycopersici and on distinct core chromosome regions in Fusarium graminearum, all of which have associations with virulence. Members of two gene groups evolve rapidly, namely those that encode proteins with an N-terminal [SG]-P-C-[KR]-P sequence motif and proteins that are conserved predominantly in pathogens. Specifically, 29 F. graminearum genes are rapidly evolving, in planta induced and encode secreted proteins, strongly pointing toward effector function. In summary, diversifying selection in Fusarium is strongly reflected as genomic footprints and can be used to predict a small gene set likely to be involved in host-pathogen interactions for experimental verification.

  3. Identifying associations between genomic alterations in tumors.

    Science.gov (United States)

    George, Joshy; Gorringe, Kylie L; Smyth, Gordon K; Bowtell, David D L

    2013-01-01

    Single-nucleotide polymorphism (SNP) mapping arrays are a reliable method for identifying somatic copy number alterations in cancer samples. Though this is immensely useful to identify potential driver genes, it is not sufficient to identify genes acting in a concerted manner. In cancer cells, co-amplified genes have been shown to provide synergistic effects, and genomic alterations targeting a pathway have been shown to occur in a mutually exclusive manner. We therefore developed a bioinformatic method for detecting such gene pairs using an integrated analysis of genomic copy number and gene expression data. This approach allowed us to identify a gene pair that is co-amplified and co-expressed in high-grade serous ovarian cancer. This finding provided information about the interaction of specific genetic events that contribute to the development and progression of this disease.

  4. Cross-sectional analysis of obesity and serum analytes in males identifies sRAGE as a novel biomarker inversely associated with diverticulosis.

    Directory of Open Access Journals (Sweden)

    Sarah S Comstock

    Full Text Available Diverticulosis can lead to diverticulitis, a colon condition involving inflammation and other complications. Diverticulosis can result from biological, behavioral, or genetic causes. However, the etiology of diverticulosis is unknown. Although diet is associated with diverticulosis, recent studies suggest other factors influence risk. We sought to identify anthropometric or serum markers that were associated with the presence of diverticulosis. To determine these associations, 126 asymptomatic men (48-65 yr were recruited at the time of preventative screening colonoscopy. Anthropometric measures were taken, and blood was collected for serum protein analysis. Data were analyzed by logistic regression and factor analysis. Obese individuals (BMI >30 were 7.8 (CI: 2.3-26.3 times more likely than normal weight (BMI 45 inches were 8.1 (CI: 2.8-23.8 times more likely to have diverticulosis than those with a waist circumference <38 inches. Leptin was also positively associated with diverticulosis (OR = 5.5, CI: 2.0-14.7. Both low molecular weight adiponectin (LMW, OR = 0.50; CI: 0.3-0.8 and the soluble receptor for advanced glycation end products (sRAGE, OR = 0.4, CI: 0.3-0.7 were inversely related to the presence of diverticulosis. sRAGE levels were not correlated with leptin or C-peptide concentrations. The pattern of high BMI, waist circumference, leptin and C-peptide increased the odds of diverticulosis while the pattern of high levels of sRAGE and LMW adiponectin decreased the odds of diverticulosis. Associations between diverticulosis and anthropometric or serum markers may elucidate the origins of diverticulosis and may enable physicians to identify individuals at risk for diverticulitis.

  5. Meta-analysis of genome-wide association studies in >80,000 subjects identifies multiple loci for C-reactive protein levels

    Science.gov (United States)

    Dehghan, Abbas; Dupuis, Josée; Barbalic, Maja; Bis, Joshua C; Eiriksdottir, Gudny; Lu, Chen; Pellikka, Niina; Wallaschofski, Henri; Kettunen, Johannes; Henneman, Peter; Baumert, Jens; Strachan, David P; Fuchsberger, Christian; Vitart, Veronique; Wilson, James F; Paré, Guillaume; Naitza, Silvia; Rudock, Megan E; Surakka, Ida; de Geus, Eco JC; Alizadeh, Behrooz Z; Guralnik, Jack; Shuldiner, Alan; Tanaka, Toshiko; Zee, Robert YL; Schnabel, Renate B; Nambi, Vijay; Kavousi, Maryam; Ripatti, Samuli; Nauck, Matthias; Smith, Nicholas L; Smith, Albert V; Sundvall, Jouko; Scheet, Paul; Liu, Yongmei; Ruokonen, Aimo; Rose, Lynda M; Larson, Martin G; Hoogeveen, Ron C; Freimer, Nelson B; Teumer, Alexander; Tracy, Russell P; Launer, Lenore J; Buring, Julie E; Yamamoto, Jennifer F; Folsom, Aaron R; Sijbrands, Eric JG; Pankow, James; Elliott, Paul; Keaney, John F; Sun, Wei; Sarin, Antti-Pekka; Fontes, João D; Badola, Sunita; Astor, Brad C; Hofman, Albert; Pouta, Anneli; Werdan, Karl; Greiser, Karin H; Kuss, Oliver; Meyer zu Schwabedissen, Henriette E; Thiery, Joachim; Jamshidi, Yalda; Nolte, Ilja M; Soranzo, Nicole; Spector, Timothy D; Völzke, Henry; Parker, Alexander N; Aspelund, Thor; Bates, David; Young, Lauren; Tsui, Kim; Siscovick, David S; Guo, Xiuqing; Rotter, Jerome I; Uda, Manuela; Schlessinger, David; Rudan, Igor; Hicks, Andrew A; Penninx, Brenda W; Thorand, Barbara; Gieger, Christian; Coresh, Joe; Willemsen, Gonneke; Harris, Tamara B; Uitterlinden, Andre G; Järvelin, Marjo-Riitta; Rice, Kenneth; Radke, Dörte; Salomaa, Veikko; van Dijk, Ko Willems; Boerwinkle, Eric; Vasan, Ramachandran S; Ferrucci, Luigi; Gibson, Quince D; Bandinelli, Stefania; Snieder, Harold; Boomsma, Dorret I; Xiao, Xiangjun; Campbell, Harry; Hayward, Caroline; Pramstaller, Peter P; van Duijn, Cornelia M; Peltonen, Leena; Psaty, Bruce M; Gudnason, Vilmundur; Ridker, Paul M; Homuth, Georg; Koenig, Wolfgang; Ballantyne, Christie M; Witteman, Jacqueline CM; Benjamin, Emelia J; Perola, Markus; Chasman, Daniel I

    2011-01-01

    Background C-reactive protein (CRP) is a heritable marker of chronic inflammation that is strongly associated with cardiovascular disease. We aimed to identify genetic variants that are associated with CRP levels. Methods and Results We performed a genome wide association (GWA) analysis of CRP in 66,185 participants from 15 population-based studies. We sought replication for the genome wide significant and suggestive loci in a replication panel comprising 16,540 individuals from ten independent studies. We found 18 genome-wide significant loci and we provided evidence of replication for eight of them. Our results confirm seven previously known loci and introduce 11 novel loci that are implicated in pathways related to the metabolic syndrome (APOC1, HNF1A, LEPR, GCKR, HNF4A, and PTPN2), immune system (CRP, IL6R, NLRP3, IL1F10, and IRF1), or that reside in regions previously not known to play a role in chronic inflammation (PPP1R3B, SALL1, PABPC4, ASCL1, RORA, and BCL7B). We found significant interaction of body mass index (BMI) with LEPR (p<2.9×10−6). A weighted genetic risk score that was developed to summarize the effect of risk alleles was strongly associated with CRP levels and explained approximately 5% of the trait variance; however, there was no evidence for these genetic variants explaining the association of CRP with coronary heart disease. Conclusion We identified 18 loci that were associated with CRP levels. Our study highlights immune response and metabolic regulatory pathways involved in the regulation of chronic inflammation. PMID:21300955

  6. Cross-sectional analysis of obesity and serum analytes in males identifies sRAGE as a novel biomarker inversely associated with diverticulosis.

    Science.gov (United States)

    Comstock, Sarah S; Lewis, Markita M; Pathak, Dorothy R; Hortos, Kari; Kovan, Bruce; Fenton, Jenifer I

    2014-01-01

    Diverticulosis can lead to diverticulitis, a colon condition involving inflammation and other complications. Diverticulosis can result from biological, behavioral, or genetic causes. However, the etiology of diverticulosis is unknown. Although diet is associated with diverticulosis, recent studies suggest other factors influence risk. We sought to identify anthropometric or serum markers that were associated with the presence of diverticulosis. To determine these associations, 126 asymptomatic men (48-65 yr) were recruited at the time of preventative screening colonoscopy. Anthropometric measures were taken, and blood was collected for serum protein analysis. Data were analyzed by logistic regression and factor analysis. Obese individuals (BMI >30) were 7.8 (CI: 2.3-26.3) times more likely than normal weight (BMI diverticulosis. The relationship was similar for waist circumference. Individuals with a waist circumference >45 inches were 8.1 (CI: 2.8-23.8) times more likely to have diverticulosis than those with a waist circumference diverticulosis (OR = 5.5, CI: 2.0-14.7). Both low molecular weight adiponectin (LMW, OR = 0.50; CI: 0.3-0.8) and the soluble receptor for advanced glycation end products (sRAGE, OR = 0.4, CI: 0.3-0.7) were inversely related to the presence of diverticulosis. sRAGE levels were not correlated with leptin or C-peptide concentrations. The pattern of high BMI, waist circumference, leptin and C-peptide increased the odds of diverticulosis while the pattern of high levels of sRAGE and LMW adiponectin decreased the odds of diverticulosis. Associations between diverticulosis and anthropometric or serum markers may elucidate the origins of diverticulosis and may enable physicians to identify individuals at risk for diverticulitis.

  7. Meta-analysis of genome-wide association data and large-scale replication identifies additional susceptibility loci for type 2 diabetes.

    Science.gov (United States)

    Zeggini, Eleftheria; Scott, Laura J; Saxena, Richa; Voight, Benjamin F; Marchini, Jonathan L; Hu, Tianle; de Bakker, Paul I W; Abecasis, Gonçalo R; Almgren, Peter; Andersen, Gitte; Ardlie, Kristin; Boström, Kristina Bengtsson; Bergman, Richard N; Bonnycastle, Lori L; Borch-Johnsen, Knut; Burtt, Noël P; Chen, Hong; Chines, Peter S; Daly, Mark J; Deodhar, Parimal; Ding, Chia-Jen; Doney, Alex S F; Duren, William L; Elliott, Katherine S; Erdos, Michael R; Frayling, Timothy M; Freathy, Rachel M; Gianniny, Lauren; Grallert, Harald; Grarup, Niels; Groves, Christopher J; Guiducci, Candace; Hansen, Torben; Herder, Christian; Hitman, Graham A; Hughes, Thomas E; Isomaa, Bo; Jackson, Anne U; Jørgensen, Torben; Kong, Augustine; Kubalanza, Kari; Kuruvilla, Finny G; Kuusisto, Johanna; Langenberg, Claudia; Lango, Hana; Lauritzen, Torsten; Li, Yun; Lindgren, Cecilia M; Lyssenko, Valeriya; Marvelle, Amanda F; Meisinger, Christa; Midthjell, Kristian; Mohlke, Karen L; Morken, Mario A; Morris, Andrew D; Narisu, Narisu; Nilsson, Peter; Owen, Katharine R; Palmer, Colin N A; Payne, Felicity; Perry, John R B; Pettersen, Elin; Platou, Carl; Prokopenko, Inga; Qi, Lu; Qin, Li; Rayner, Nigel W; Rees, Matthew; Roix, Jeffrey J; Sandbaek, Anelli; Shields, Beverley; Sjögren, Marketa; Steinthorsdottir, Valgerdur; Stringham, Heather M; Swift, Amy J; Thorleifsson, Gudmar; Thorsteinsdottir, Unnur; Timpson, Nicholas J; Tuomi, Tiinamaija; Tuomilehto, Jaakko; Walker, Mark; Watanabe, Richard M; Weedon, Michael N; Willer, Cristen J; Illig, Thomas; Hveem, Kristian; Hu, Frank B; Laakso, Markku; Stefansson, Kari; Pedersen, Oluf; Wareham, Nicholas J; Barroso, Inês; Hattersley, Andrew T; Collins, Francis S; Groop, Leif; McCarthy, Mark I; Boehnke, Michael; Altshuler, David

    2008-05-01

    Genome-wide association (GWA) studies have identified multiple loci at which common variants modestly but reproducibly influence risk of type 2 diabetes (T2D). Established associations to common and rare variants explain only a small proportion of the heritability of T2D. As previously published analyses had limited power to identify variants with modest effects, we carried out meta-analysis of three T2D GWA scans comprising 10,128 individuals of European descent and approximately 2.2 million SNPs (directly genotyped and imputed), followed by replication testing in an independent sample with an effective sample size of up to 53,975. We detected at least six previously unknown loci with robust evidence for association, including the JAZF1 (P = 5.0 x 10(-14)), CDC123-CAMK1D (P = 1.2 x 10(-10)), TSPAN8-LGR5 (P = 1.1 x 10(-9)), THADA (P = 1.1 x 10(-9)), ADAMTS9 (P = 1.2 x 10(-8)) and NOTCH2 (P = 4.1 x 10(-8)) gene regions. Our results illustrate the value of large discovery and follow-up samples for gaining further insights into the inherited basis of T2D.

  8. Meta-analysis of genome-wide association studies identifies common susceptibility polymorphisms for colorectal and endometrial cancer near SH2B3 and TSHZ1

    Science.gov (United States)

    Cheng, Timothy HT; Thompson, Deborah; Painter, Jodie; O’Mara, Tracy; Gorman, Maggie; Martin, Lynn; Palles, Claire; Jones, Angela; Buchanan, Daniel D.; Ko Win, Aung; Hopper, John; Jenkins, Mark; Lindor, Noralane M.; Newcomb, Polly A.; Gallinger, Steve; Conti, David; Schumacher, Fred; Casey, Graham; Giles, Graham G; Pharoah, Paul; Peto, Julian; Cox, Angela; Swerdlow, Anthony; Couch, Fergus; Cunningham, Julie M; Goode, Ellen L; Winham, Stacey J; Lambrechts, Diether; Fasching, Peter; Burwinkel, Barbara; Brenner, Hermann; Brauch, Hiltrud; Chang-Claude, Jenny; Salvesen, Helga B.; Kristensen, Vessela; Darabi, Hatef; Li, Jingmei; Liu, Tao; Lindblom, Annika; Hall, Per; de Polanco, Magdalena Echeverry; Sans, Monica; Carracedo, Angel; Castellvi-Bel, Sergi; Rojas-Martinez, Augusto; Aguiar Jnr, Samuel; Teixeira, Manuel R.; Dunning, Alison M; Dennis, Joe; Otton, Geoffrey; Proietto, Tony; Holliday, Elizabeth; Attia, John; Ashton, Katie; Scott, Rodney J; McEvoy, Mark; Dowdy, Sean C; Fridley, Brooke L; Werner, Henrica MJ; Trovik, Jone; Njolstad, Tormund S; Tham, Emma; Mints, Miriam; Runnebaum, Ingo; Hillemanns, Peter; Dörk, Thilo; Amant, Frederic; Schrauwen, Stefanie; Hein, Alexander; Beckmann, Matthias W; Ekici, Arif; Czene, Kamila; Meindl, Alfons; Bolla, Manjeet K; Michailidou, Kyriaki; Tyrer, Jonathan P; Wang, Qin; Ahmed, Shahana; Healey, Catherine S; Shah, Mitul; Annibali, Daniela; Depreeuw, Jeroen; Al-Tassan, Nada A.; Harris, Rebecca; Meyer, Brian F.; Whiffin, Nicola; Hosking, Fay J; Kinnersley, Ben; Farrington, Susan M.; Timofeeva, Maria; Tenesa, Albert; Campbell, Harry; Haile, Robert W.; Hodgson, Shirley; Carvajal-Carmona, Luis; Cheadle, Jeremy P.; Easton, Douglas; Dunlop, Malcolm; Houlston, Richard; Spurdle, Amanda; Tomlinson, Ian

    2015-01-01

    High-risk mutations in several genes predispose to both colorectal cancer (CRC) and endometrial cancer (EC). We therefore hypothesised that some lower-risk genetic variants might also predispose to both CRC and EC. Using CRC and EC genome-wide association series, totalling 13,265 cancer cases and 40,245 controls, we found that the protective allele [G] at one previously-identified CRC polymorphism, rs2736100 near TERT, was associated with EC risk (odds ratio (OR) = 1.08, P = 0.000167); this polymorphism influences the risk of several other cancers. A further CRC polymorphism near TERC also showed evidence of association with EC (OR = 0.92; P = 0.03). Overall, however, there was no good evidence that the set of CRC polymorphisms was associated with EC risk, and neither of two previously-reported EC polymorphisms was associated with CRC risk. A combined analysis revealed one genome-wide significant polymorphism, rs3184504, on chromosome 12q24 (OR = 1.10, P = 7.23 × 10−9) with shared effects on CRC and EC risk. This polymorphism, a missense variant in the gene SH2B3, is also associated with haematological and autoimmune disorders, suggesting that it influences cancer risk through the immune response. Another polymorphism, rs12970291 near gene TSHZ1, was associated with both CRC and EC (OR = 1.26, P = 4.82 × 10−8), with the alleles showing opposite effects on the risks of the two cancers. PMID:26621817

  9. Meta-analysis of genome-wide association studies identifies common susceptibility polymorphisms for colorectal and endometrial cancer near SH2B3 and TSHZ1.

    Science.gov (United States)

    Cheng, Timothy H T; Thompson, Deborah; Painter, Jodie; O'Mara, Tracy; Gorman, Maggie; Martin, Lynn; Palles, Claire; Jones, Angela; Buchanan, Daniel D; Ko Win, Aung; Hopper, John; Jenkins, Mark; Lindor, Noralane M; Newcomb, Polly A; Gallinger, Steve; Conti, David; Schumacher, Fred; Casey, Graham; Giles, Graham G; Pharoah, Paul; Peto, Julian; Cox, Angela; Swerdlow, Anthony; Couch, Fergus; Cunningham, Julie M; Goode, Ellen L; Winham, Stacey J; Lambrechts, Diether; Fasching, Peter; Burwinkel, Barbara; Brenner, Hermann; Brauch, Hiltrud; Chang-Claude, Jenny; Salvesen, Helga B; Kristensen, Vessela; Darabi, Hatef; Li, Jingmei; Liu, Tao; Lindblom, Annika; Hall, Per; de Polanco, Magdalena Echeverry; Sans, Monica; Carracedo, Angel; Castellvi-Bel, Sergi; Rojas-Martinez, Augusto; Aguiar Jnr, Samuel; Teixeira, Manuel R; Dunning, Alison M; Dennis, Joe; Otton, Geoffrey; Proietto, Tony; Holliday, Elizabeth; Attia, John; Ashton, Katie; Scott, Rodney J; McEvoy, Mark; Dowdy, Sean C; Fridley, Brooke L; Werner, Henrica M J; Trovik, Jone; Njolstad, Tormund S; Tham, Emma; Mints, Miriam; Runnebaum, Ingo; Hillemanns, Peter; Dörk, Thilo; Amant, Frederic; Schrauwen, Stefanie; Hein, Alexander; Beckmann, Matthias W; Ekici, Arif; Czene, Kamila; Meindl, Alfons; Bolla, Manjeet K; Michailidou, Kyriaki; Tyrer, Jonathan P; Wang, Qin; Ahmed, Shahana; Healey, Catherine S; Shah, Mitul; Annibali, Daniela; Depreeuw, Jeroen; Al-Tassan, Nada A; Harris, Rebecca; Meyer, Brian F; Whiffin, Nicola; Hosking, Fay J; Kinnersley, Ben; Farrington, Susan M; Timofeeva, Maria; Tenesa, Albert; Campbell, Harry; Haile, Robert W; Hodgson, Shirley; Carvajal-Carmona, Luis; Cheadle, Jeremy P; Easton, Douglas; Dunlop, Malcolm; Houlston, Richard; Spurdle, Amanda; Tomlinson, Ian

    2015-12-01

    High-risk mutations in several genes predispose to both colorectal cancer (CRC) and endometrial cancer (EC). We therefore hypothesised that some lower-risk genetic variants might also predispose to both CRC and EC. Using CRC and EC genome-wide association series, totalling 13,265 cancer cases and 40,245 controls, we found that the protective allele [G] at one previously-identified CRC polymorphism, rs2736100 near TERT, was associated with EC risk (odds ratio (OR) = 1.08, P = 0.000167); this polymorphism influences the risk of several other cancers. A further CRC polymorphism near TERC also showed evidence of association with EC (OR = 0.92; P = 0.03). Overall, however, there was no good evidence that the set of CRC polymorphisms was associated with EC risk, and neither of two previously-reported EC polymorphisms was associated with CRC risk. A combined analysis revealed one genome-wide significant polymorphism, rs3184504, on chromosome 12q24 (OR = 1.10, P = 7.23 × 10(-9)) with shared effects on CRC and EC risk. This polymorphism, a missense variant in the gene SH2B3, is also associated with haematological and autoimmune disorders, suggesting that it influences cancer risk through the immune response. Another polymorphism, rs12970291 near gene TSHZ1, was associated with both CRC and EC (OR = 1.26, P = 4.82 × 10(-8)), with the alleles showing opposite effects on the risks of the two cancers.

  10. A colorectal cancer susceptibility new variant at 4q26 in the Spanish population identified by genome-wide association analysis.

    Directory of Open Access Journals (Sweden)

    Luis M Real

    Full Text Available BACKGROUND: Non-hereditary colorectal cancer (CRC is a complex disorder resulting from the combination of genetic and non-genetic factors. Genome-wide association studies (GWAS are useful for identifying such genetic susceptibility factors. However, the single loci so far associated with CRC only represent a fraction of the genetic risk for CRC development in the general population. Therefore, many other genetic risk variants alone and in combination must still remain to be discovered. The aim of this work was to search for genetic risk factors for CRC, by performing single-locus and two-locus GWAS in the Spanish population. RESULTS: A total of 801 controls and 500 CRC cases were included in the discovery GWAS dataset. 77 single nucleotide polymorphisms (SNPs from single-locus and 243 SNPs from two-locus association analyses were selected for replication in 423 additional CRC cases and 1382 controls. In the meta-analysis, one SNP, rs3987 at 4q26, reached GWAS significant p-value (p = 4.02×10(-8, and one SNP pair, rs1100508 CG and rs8111948 AA, showed a trend for two-locus association (p = 4.35×10(-11. Additionally, our GWAS confirmed the previously reported association with CRC of five SNPs located at 3q36.2 (rs10936599, 8q24 (rs10505477, 8q24.21(rs6983267, 11q13.4 (rs3824999 and 14q22.2 (rs4444235. CONCLUSIONS: Our GWAS for CRC patients from Spain confirmed some previously reported associations for CRC and yielded a novel candidate risk SNP, located at 4q26. Epistasis analyses also yielded several novel candidate susceptibility pairs that need to be validated in independent analyses.

  11. Meta-analysis of genome-wide association studies identifies multiple lung cancer susceptibility loci in never-smoking Asian women.

    Science.gov (United States)

    Wang, Zhaoming; Seow, Wei Jie; Shiraishi, Kouya; Hsiung, Chao A; Matsuo, Keitaro; Liu, Jie; Chen, Kexin; Yamji, Taiki; Yang, Yang; Chang, I-Shou; Wu, Chen; Hong, Yun-Chul; Burdett, Laurie; Wyatt, Kathleen; Chung, Charles C; Li, Shengchao A; Yeager, Meredith; Hutchinson, Amy; Hu, Wei; Caporaso, Neil; Landi, Maria T; Chatterjee, Nilanjan; Song, Minsun; Fraumeni, Joseph F; Kohno, Takashi; Yokota, Jun; Kunitoh, Hideo; Ashikawa, Kyota; Momozawa, Yukihide; Daigo, Yataro; Mitsudomi, Tetsuya; Yatabe, Yasushi; Hida, Toyoaki; Hu, Zhibin; Dai, Juncheng; Ma, Hongxia; Jin, Guangfu; Song, Bao; Wang, Zhehai; Cheng, Sensen; Yin, Zhihua; Li, Xuelian; Ren, Yangwu; Guan, Peng; Chang, Jiang; Tan, Wen; Chen, Chien-Jen; Chang, Gee-Chen; Tsai, Ying-Huang; Su, Wu-Chou; Chen, Kuan-Yu; Huang, Ming-Shyan; Chen, Yuh-Min; Zheng, Hong; Li, Haixin; Cui, Ping; Guo, Huan; Xu, Ping; Liu, Li; Iwasaki, Motoki; Shimazu, Taichi; Tsugane, Shoichiro; Zhu, Junjie; Jiang, Gening; Fei, Ke; Park, Jae Yong; Kim, Yeul Hong; Sung, Jae Sook; Park, Kyong Hwa; Kim, Young Tae; Jung, Yoo Jin; Kang, Chang Hyun; Park, In Kyu; Kim, Hee Nam; Jeon, Hyo-Sung; Choi, Jin Eun; Choi, Yi Young; Kim, Jin Hee; Oh, In-Jae; Kim, Young-Chul; Sung, Sook Whan; Kim, Jun Suk; Yoon, Ho-Il; Kweon, Sun-Seog; Shin, Min-Ho; Seow, Adeline; Chen, Ying; Lim, Wei-Yen; Liu, Jianjun; Wong, Maria Pik; Lee, Victor Ho Fun; Bassig, Bryan A; Tucker, Margaret; Berndt, Sonja I; Chow, Wong-Ho; Ji, Bu-Tian; Wang, Junwen; Xu, Jun; Sihoe, Alan Dart Loon; Ho, James C M; Chan, John K C; Wang, Jiu-Cun; Lu, Daru; Zhao, Xueying; Zhao, Zhenhong; Wu, Junjie; Chen, Hongyan; Jin, Li; Wei, Fusheng; Wu, Guoping; An, She-Juan; Zhang, Xu-Chao; Su, Jian; Wu, Yi-Long; Gao, Yu-Tang; Xiang, Yong-Bing; He, Xingzhou; Li, Jihua; Zheng, Wei; Shu, Xiao-Ou; Cai, Qiuyin; Klein, Robert; Pao, William; Lawrence, Charles; Hosgood, H Dean; Hsiao, Chin-Fu; Chien, Li-Hsin; Chen, Ying-Hsiang; Chen, Chung-Hsing; Wang, Wen-Chang; Chen, Chih-Yi; Wang, Chih-Liang; Yu, Chong-Jen; Chen, Hui-Ling; Su, Yu-Chun; Tsai, Fang-Yu; Chen, Yi-Song; Li, Yao-Jen; Yang, Tsung-Ying; Lin, Chien-Chung; Yang, Pan-Chyr; Wu, Tangchun; Lin, Dongxin; Zhou, Baosen; Yu, Jinming; Shen, Hongbing; Kubo, Michiaki; Chanock, Stephen J; Rothman, Nathaniel; Lan, Qing

    2016-02-01

    Genome-wide association studies (GWAS) of lung cancer in Asian never-smoking women have previously identified six susceptibility loci associated with lung cancer risk. To further discover new susceptibility loci, we imputed data from four GWAS of Asian non-smoking female lung cancer (6877 cases and 6277 controls) using the 1000 Genomes Project (Phase 1 Release 3) data as the reference and genotyped additional samples (5878 cases and 7046 controls) for possible replication. In our meta-analysis, three new loci achieved genome-wide significance, marked by single nucleotide polymorphism (SNP) rs7741164 at 6p21.1 (per-allele odds ratio (OR) = 1.17; P = 5.8 × 10(-13)), rs72658409 at 9p21.3 (per-allele OR = 0.77; P = 1.41 × 10(-10)) and rs11610143 at 12q13.13 (per-allele OR = 0.89; P = 4.96 × 10(-9)). These findings identified new genetic susceptibility alleles for lung cancer in never-smoking women in Asia and merit follow-up to understand their biological underpinnings.

  12. rDNA-ITS 序列分析鉴定块菌伴生真菌%rDNA-ITS Sequence Analysis Identify Truffle-associated Fungi

    Institute of Scientific and Technical Information of China (English)

    周建平; 韦会平

    2013-01-01

      分离攀枝花地区野生块菌伴生真菌,经 PCR 扩增其 rDNA-ITS 序列,测序并分析其序列信息,初步鉴定了7种块菌伴生真菌。系统进化树分析将供试真菌分为3大类群:植物腐生真菌、动物病原真菌及植物内共生真菌。%Wild truffle-associated fungi in Panzhihua area were separated and their rDNA -ITS sequences were am-plified by PCR.The sequencing and analysis of ITS sequences preliminarily identified seven fungi species associated with truffle.Phylogenetic analysis results shown that these fungi can be divided into 3 groups: plant saprophytic fungi, animal pathogenic fungi and plant symbiotic fungi .

  13. Transcriptome analysis of stem wood of Nothapodytes nimmoniana (Graham) Mabb. identifies genes associated with biosynthesis of camptothecin, an anti-carcinogenic molecule

    Indian Academy of Sciences (India)

    BL Manjunatha; HR Singh; G Ravikanth; Karaba N Nataraja; Ravi Shankar; Sanjay Kumar; R Uma Shaanker

    2016-03-01

    Camptothecin (CPT), a monoterpene indole alkaloid, is a potent inhibitor of DNA topoisomerase I and has applications in treating ovarian, small lung and refractory ovarian cancers. Stem wood tissue of Nothapodytes nimmoniana (Graham) Mabb. (family Icacinaceae) is one of the richest sources of CPT. Since there is no genomic or transcriptome data available for the species, the present work sequenced and analysed transcriptome of stem wood tissue on an Illumina platform. From a total of 77,55,978 reads, 9,187 transcripts were assembled with an average length of 255 bp. Functional annotation and categorization of these assembled transcripts unraveled the transcriptome architecture and also a total of 13 genes associated with CPT biosynthetic pathway were identified in the stem wood tissue. Four genes of the pathway were cloned to full length by RACE to validate the transcriptome data. Expression analysis of 13 genes associated with CPT biosynthetic pathway in 11 different tissues vis-a-vis CPT content analysis suggested an important role of NnPG10H, NnPSLS and NnPSTR genes in the biosynthesis of CPT. These results indicated that CPT might be synthesized in the leaves and then perhaps exported to stem wood tissue for storage.

  14. A Powerful Procedure for Pathway-Based Meta-analysis Using Summary Statistics Identifies 43 Pathways Associated with Type II Diabetes in European Populations.

    Science.gov (United States)

    Zhang, Han; Wheeler, William; Hyland, Paula L; Yang, Yifan; Shi, Jianxin; Chatterjee, Nilanjan; Yu, Kai

    2016-06-01

    Meta-analysis of multiple genome-wide association studies (GWAS) has become an effective approach for detecting single nucleotide polymorphism (SNP) associations with complex traits. However, it is difficult to integrate the readily accessible SNP-level summary statistics from a meta-analysis into more powerful multi-marker testing procedures, which generally require individual-level genetic data. We developed a general procedure called Summary based Adaptive Rank Truncated Product (sARTP) for conducting gene and pathway meta-analysis that uses only SNP-level summary statistics in combination with genotype correlation estimated from a panel of individual-level genetic data. We demonstrated the validity and power advantage of sARTP through empirical and simulated data. We conducted a comprehensive pathway-based meta-analysis with sARTP on type 2 diabetes (T2D) by integrating SNP-level summary statistics from two large studies consisting of 19,809 T2D cases and 111,181 controls with European ancestry. Among 4,713 candidate pathways from which genes in neighborhoods of 170 GWAS established T2D loci were excluded, we detected 43 T2D globally significant pathways (with Bonferroni corrected p-values < 0.05), which included the insulin signaling pathway and T2D pathway defined by KEGG, as well as the pathways defined according to specific gene expression patterns on pancreatic adenocarcinoma, hepatocellular carcinoma, and bladder carcinoma. Using summary data from 8 eastern Asian T2D GWAS with 6,952 cases and 11,865 controls, we showed 7 out of the 43 pathways identified in European populations remained to be significant in eastern Asians at the false discovery rate of 0.1. We created an R package and a web-based tool for sARTP with the capability to analyze pathways with thousands of genes and tens of thousands of SNPs.

  15. Proteomic analysis of wild-type and mutant huntingtin-associated proteins in mouse brains identifies unique interactions and involvement in protein synthesis.

    Science.gov (United States)

    Culver, Brady P; Savas, Jeffrey N; Park, Sung K; Choi, Jeong H; Zheng, Shuqiu; Zeitlin, Scott O; Yates, John R; Tanese, Naoko

    2012-06-22

    Huntington disease is a neurodegenerative disorder caused by a CAG repeat amplification in the gene huntingtin (HTT) that is reflected by a polyglutamine expansion in the Htt protein. Nearly 20 years of research have uncovered roles for Htt in a wide range of cellular processes, and many of these discoveries stemmed from the identification of Htt-interacting proteins. However, no study has employed an impartial and comprehensive strategy to identify proteins that differentially associate with full-length wild-type and mutant Htt in brain tissue, the most relevant sample source to the disease condition. We analyzed Htt affinity-purified complexes from wild-type and HTT mutant juvenile mouse brain from two different biochemical fractions by tandem mass spectrometry. We compared variations in protein spectral counts relative to Htt to identify those proteins that are the most significantly contrasted between wild-type and mutant Htt purifications. Previously unreported Htt interactions with Myo5a, Prkra (PACT), Gnb2l1 (RACK1), Rps6, and Syt2 were confirmed by Western blot analysis. Gene Ontology analysis of these and other Htt-associated proteins revealed a statistically significant enrichment for proteins involved in translation among other categories. Furthermore, Htt co-sedimentation with polysomes in cytoplasmic mouse brain extracts is dependent upon the presence of intact ribosomes. Finally, wild-type or mutant Htt overexpression inhibits cap-dependent translation of a reporter mRNA in an in vitro system. Cumulatively, these data support a new role for Htt in translation and provide impetus for further study into the link between protein synthesis and Huntington disease pathogenesis.

  16. Genome-wide association study and gene expression analysis identifies CD84 as a predictor of response to etanercept therapy in rheumatoid arthritis.

    Directory of Open Access Journals (Sweden)

    Jing Cui

    2013-03-01

    Full Text Available Anti-tumor necrosis factor alpha (anti-TNF biologic therapy is a widely used treatment for rheumatoid arthritis (RA. It is unknown why some RA patients fail to respond adequately to anti-TNF therapy, which limits the development of clinical biomarkers to predict response or new drugs to target refractory cases. To understand the biological basis of response to anti-TNF therapy, we conducted a genome-wide association study (GWAS meta-analysis of more than 2 million common variants in 2,706 RA patients from 13 different collections. Patients were treated with one of three anti-TNF medications: etanercept (n = 733, infliximab (n = 894, or adalimumab (n = 1,071. We identified a SNP (rs6427528 at the 1q23 locus that was associated with change in disease activity score (ΔDAS in the etanercept subset of patients (P = 8 × 10(-8, but not in the infliximab or adalimumab subsets (P>0.05. The SNP is predicted to disrupt transcription factor binding site motifs in the 3' UTR of an immune-related gene, CD84, and the allele associated with better response to etanercept was associated with higher CD84 gene expression in peripheral blood mononuclear cells (P = 1 × 10(-11 in 228 non-RA patients and P = 0.004 in 132 RA patients. Consistent with the genetic findings, higher CD84 gene expression correlated with lower cross-sectional DAS (P = 0.02, n = 210 and showed a non-significant trend for better ΔDAS in a subset of RA patients with gene expression data (n = 31, etanercept-treated. A small, multi-ethnic replication showed a non-significant trend towards an association among etanercept-treated RA patients of Portuguese ancestry (n = 139, P = 0.4, but no association among patients of Japanese ancestry (n = 151, P = 0.8. Our study demonstrates that an allele associated with response to etanercept therapy is also associated with CD84 gene expression, and further that CD84 expression correlates with disease activity. These findings support a model in which CD84

  17. Genome-wide association analysis of self-reported events in 6135 individuals and 252 827 controls identifies 8 loci associated with thrombosis

    DEFF Research Database (Denmark)

    Hinds, David A; Buil, Alfonso; Ziemek, Daniel

    2016-01-01

    A2, ILF3 and AP1M2 as the three most plausible candidate genes for the chromosome 19 locus, our only genome-wide significant thrombosis-related locus that does not harbor likely coagulation-related genes. In addition, we present data showing that this locus also acts as a novel risk factor...... locus near SLC44A2 In addition, our study reports for the first time a genome-wide significant association between rs114209171, located upstream of the F8 structural gene, and thrombosis risk. Analyses of expression profiles and expression quantitative trait loci across different tissues suggested SLC44...... for stroke and coronary artery disease (CAD). In conclusion, our study reveals novel common genetic risk factors for VTE, stroke and CAD and provides evidence that self-reported data on blood clots used in a GWAS yield results that are comparable with those obtained using clinically diagnosed VTE...

  18. Comparative Genomics Integrated with Association Analysis Identifies Candidate Effector Genes Corresponding to Lr20 in Phenotype-Paired Puccinia triticina Isolates from Australia

    Science.gov (United States)

    Wu, Jing Qin; Sakthikumar, Sharadha; Dong, Chongmei; Zhang, Peng; Cuomo, Christina A.; Park, Robert F.

    2017-01-01

    Leaf rust is one of the most common and damaging diseases of wheat, and is caused by an obligate biotrophic basidiomycete, Puccinia triticina (Pt). In the present study, 20 Pt isolates from Australia, comprising 10 phenotype-matched pairs with contrasting pathogenicity for Lr20, were analyzed using whole genome sequencing. Compared to the reference genome of the American Pt isolate 1-1 BBBD Race 1, an average of 404,690 single nucleotide polymorphisms (SNPs) per isolate was found and the proportion of heterozygous SNPs was above 87% in the majority of the isolates, demonstrating a high level of polymorphism and a high rate of heterozygosity. From the genome-wide SNPs, a phylogenetic tree was inferred, which consisted of a large clade of 15 isolates representing diverse presumed clonal lineages including 14 closely related isolates and the more diverged isolate 670028, and a small clade of five isolates characterized by lower heterozygosity level. Principle component analysis detected three distinct clusters, corresponding exactly to the two major subsets of the small clade and the large clade comprising all 15 isolates without further separation of isolate 670028. While genome-wide association analysis identified 302 genes harboring at least one SNP associated with Lr20 virulence (p epigenetics and small RNA in Pt pathogenicity. Future studies are thus warranted to investigate the biological functions of the candidate effectors as well as the gene regulation mechanisms at epigenetic and post-transcription levels. Our study is the first to integrate phenotype-genotype association with effector prediction in Pt genomes, an approach that may circumvent some of the technical difficulties in working with obligate rust fungi and accelerate avirulence gene identification. PMID:28232843

  19. Large-Scale Exome-wide Association Analysis Identifies Loci for White Blood Cell Traits and Pleiotropy with Immune-Mediated Diseases.

    Science.gov (United States)

    Tajuddin, Salman M; Schick, Ursula M; Eicher, John D; Chami, Nathalie; Giri, Ayush; Brody, Jennifer A; Hill, W David; Kacprowski, Tim; Li, Jin; Lyytikäinen, Leo-Pekka; Manichaikul, Ani; Mihailov, Evelin; O'Donoghue, Michelle L; Pankratz, Nathan; Pazoki, Raha; Polfus, Linda M; Smith, Albert Vernon; Schurmann, Claudia; Vacchi-Suzzi, Caterina; Waterworth, Dawn M; Evangelou, Evangelos; Yanek, Lisa R; Burt, Amber; Chen, Ming-Huei; van Rooij, Frank J A; Floyd, James S; Greinacher, Andreas; Harris, Tamara B; Highland, Heather M; Lange, Leslie A; Liu, Yongmei; Mägi, Reedik; Nalls, Mike A; Mathias, Rasika A; Nickerson, Deborah A; Nikus, Kjell; Starr, John M; Tardif, Jean-Claude; Tzoulaki, Ioanna; Velez Edwards, Digna R; Wallentin, Lars; Bartz, Traci M; Becker, Lewis C; Denny, Joshua C; Raffield, Laura M; Rioux, John D; Friedrich, Nele; Fornage, Myriam; Gao, He; Hirschhorn, Joel N; Liewald, David C M; Rich, Stephen S; Uitterlinden, Andre; Bastarache, Lisa; Becker, Diane M; Boerwinkle, Eric; de Denus, Simon; Bottinger, Erwin P; Hayward, Caroline; Hofman, Albert; Homuth, Georg; Lange, Ethan; Launer, Lenore J; Lehtimäki, Terho; Lu, Yingchang; Metspalu, Andres; O'Donnell, Chris J; Quarells, Rakale C; Richard, Melissa; Torstenson, Eric S; Taylor, Kent D; Vergnaud, Anne-Claire; Zonderman, Alan B; Crosslin, David R; Deary, Ian J; Dörr, Marcus; Elliott, Paul; Evans, Michele K; Gudnason, Vilmundur; Kähönen, Mika; Psaty, Bruce M; Rotter, Jerome I; Slater, Andrew J; Dehghan, Abbas; White, Harvey D; Ganesh, Santhi K; Loos, Ruth J F; Esko, Tõnu; Faraday, Nauder; Wilson, James G; Cushman, Mary; Johnson, Andrew D; Edwards, Todd L; Zakai, Neil A; Lettre, Guillaume; Reiner, Alex P; Auer, Paul L

    2016-07-01

    White blood cells play diverse roles in innate and adaptive immunity. Genetic association analyses of phenotypic variation in circulating white blood cell (WBC) counts from large samples of otherwise healthy individuals can provide insights into genes and biologic pathways involved in production, differentiation, or clearance of particular WBC lineages (myeloid, lymphoid) and also potentially inform the genetic basis of autoimmune, allergic, and blood diseases. We performed an exome array-based meta-analysis of total WBC and subtype counts (neutrophils, monocytes, lymphocytes, basophils, and eosinophils) in a multi-ancestry discovery and replication sample of ∼157,622 individuals from 25 studies. We identified 16 common variants (8 of which were coding variants) associated with one or more WBC traits, the majority of which are pleiotropically associated with autoimmune diseases. Based on functional annotation, these loci included genes encoding surface markers of myeloid, lymphoid, or hematopoietic stem cell differentiation (CD69, CD33, CD87), transcription factors regulating lineage specification during hematopoiesis (ASXL1, IRF8, IKZF1, JMJD1C, ETS2-PSMG1), and molecules involved in neutrophil clearance/apoptosis (C10orf54, LTA), adhesion (TNXB), or centrosome and microtubule structure/function (KIF9, TUBD1). Together with recent reports of somatic ASXL1 mutations among individuals with idiopathic cytopenias or clonal hematopoiesis of undetermined significance, the identification of a common regulatory 3' UTR variant of ASXL1 suggests that both germline and somatic ASXL1 mutations contribute to lower blood counts in otherwise asymptomatic individuals. These association results shed light on genetic mechanisms that regulate circulating WBC counts and suggest a prominent shared genetic architecture with inflammatory and autoimmune diseases.

  20. Meta-analysis of genome-wide association studies in celiac disease and rheumatoid arthritis identifies fourteen non-HLA shared loci.

    Directory of Open Access Journals (Sweden)

    Alexandra Zhernakova

    2011-02-01

    Full Text Available Epidemiology and candidate gene studies indicate a shared genetic basis for celiac disease (CD and rheumatoid arthritis (RA, but the extent of this sharing has not been systematically explored. Previous studies demonstrate that 6 of the established non-HLA CD and RA risk loci (out of 26 loci for each disease are shared between both diseases. We hypothesized that there are additional shared risk alleles and that combining genome-wide association study (GWAS data from each disease would increase power to identify these shared risk alleles. We performed a meta-analysis of two published GWAS on CD (4,533 cases and 10,750 controls and RA (5,539 cases and 17,231 controls. After genotyping the top associated SNPs in 2,169 CD cases and 2,255 controls, and 2,845 RA cases and 4,944 controls, 8 additional SNPs demonstrated P<5 × 10(-8 in a combined analysis of all 50,266 samples, including four SNPs that have not been previously confirmed in either disease: rs10892279 near the DDX6 gene (P(combined =  1.2 × 10(-12, rs864537 near CD247 (P(combined =  2.2 × 10(-11, rs2298428 near UBE2L3 (P(combined =  2.5 × 10(-10, and rs11203203 near UBASH3A (P(combined =  1.1 × 10(-8. We also confirmed that 4 gene loci previously established in either CD or RA are associated with the other autoimmune disease at combined P<5 × 10(-8 (SH2B3, 8q24, STAT4, and TRAF1-C5. From the 14 shared gene loci, 7 SNPs showed a genome-wide significant effect on expression of one or more transcripts in the linkage disequilibrium (LD block around the SNP. These associations implicate antigen presentation and T-cell activation as a shared mechanism of disease pathogenesis and underscore the utility of cross-disease meta-analysis for identification of genetic risk factors with pleiotropic effects between two clinically distinct diseases.

  1. Meta-analysis of genome-wide association data and large-scale replication identifies additional susceptibility loci for type 2 diabetes

    DEFF Research Database (Denmark)

    Zeggini, Eleftheria; Scott, Laura J; Saxena, Richa;

    2008-01-01

    Genome-wide association (GWA) studies have identified multiple loci at which common variants modestly but reproducibly influence risk of type 2 diabetes (T2D). Established associations to common and rare variants explain only a small proportion of the heritability of T2D. As previously published...

  2. Expression microarray meta-analysis identifies genes associated with Ras/MAPK and related pathways in progression of muscle-invasive bladder transition cell carcinoma.

    Directory of Open Access Journals (Sweden)

    Jonathan A Ewald

    Full Text Available The effective detection and management of muscle-invasive bladder Transition Cell Carcinoma (TCC continues to be an urgent clinical challenge. While some differences of gene expression and function in papillary (Ta, superficial (T1 and muscle-invasive (≥T2 bladder cancers have been investigated, the understanding of mechanisms involved in the progression of bladder tumors remains incomplete. Statistical methods of pathway-enrichment, cluster analysis and text-mining can extract and help interpret functional information about gene expression patterns in large sets of genomic data. The public availability of patient-derived expression microarray data allows open access and analysis of large amounts of clinical data. Using these resources, we investigated gene expression differences associated with tumor progression and muscle-invasive TCC. Gene expression was calculated relative to Ta tumors to assess progression-associated differences, revealing a network of genes related to Ras/MAPK and PI3K signaling pathways with increased expression. Further, we identified genes within this network that are similarly expressed in superficial Ta and T1 stages but altered in muscle-invasive T2 tumors, finding 7 genes (COL3A1, COL5A1, COL11A1, FN1, ErbB3, MAPK10 and CDC25C whose expression patterns in muscle-invasive tumors are consistent in 5 to 7 independent outside microarray studies. Further, we found increased expression of the fibrillar collagen proteins COL3A1 and COL5A1 in muscle-invasive tumor samples and metastatic T24 cells. Our results suggest that increased expression of genes involved in mitogenic signaling may support the progression of muscle-invasive bladder tumors that generally lack activating mutations in these pathways, while expression changes of fibrillar collagens, fibronectin and specific signaling proteins are associated with muscle-invasive disease. These results identify potential biomarkers and targets for TCC treatments, and

  3. A Genome-Wide mQTL Analysis in Human Adipose Tissue Identifies Genetic Variants Associated with DNA Methylation, Gene Expression and Metabolic Traits

    Science.gov (United States)

    Volkov, Petr; Olsson, Anders H.; Gillberg, Linn; Jørgensen, Sine W.; Brøns, Charlotte; Eriksson, Karl-Fredrik; Groop, Leif; Jansson, Per-Anders; Nilsson, Emma; Rönn, Tina; Vaag, Allan; Ling, Charlotte

    2016-01-01

    Little is known about the extent to which interactions between genetics and epigenetics may affect the risk of complex metabolic diseases and/or their intermediary phenotypes. We performed a genome-wide DNA methylation quantitative trait locus (mQTL) analysis in human adipose tissue of 119 men, where 592,794 single nucleotide polymorphisms (SNPs) were related to DNA methylation of 477,891 CpG sites, covering 99% of RefSeq genes. SNPs in significant mQTLs were further related to gene expression in adipose tissue and obesity related traits. We found 101,911 SNP-CpG pairs (mQTLs) in cis and 5,342 SNP-CpG pairs in trans showing significant associations between genotype and DNA methylation in adipose tissue after correction for multiple testing, where cis is defined as distance less than 500 kb between a SNP and CpG site. These mQTLs include reported obesity, lipid and type 2 diabetes loci, e.g. ADCY3/POMC, APOA5, CETP, FADS2, GCKR, SORT1 and LEPR. Significant mQTLs were overrepresented in intergenic regions meanwhile underrepresented in promoter regions and CpG islands. We further identified 635 SNPs in significant cis-mQTLs associated with expression of 86 genes in adipose tissue including CHRNA5, G6PC2, GPX7, RPL27A, THNSL2 and ZFP57. SNPs in significant mQTLs were also associated with body mass index (BMI), lipid traits and glucose and insulin levels in our study cohort and public available consortia data. Importantly, the Causal Inference Test (CIT) demonstrates how genetic variants mediate their effects on metabolic traits (e.g. BMI, cholesterol, high-density lipoprotein (HDL), hemoglobin A1c (HbA1c) and homeostatic model assessment of insulin resistance (HOMA-IR)) via altered DNA methylation in human adipose tissue. This study identifies genome-wide interactions between genetic and epigenetic variation in both cis and trans positions influencing gene expression in adipose tissue and in vivo (dys)metabolic traits associated with the development of obesity and

  4. The association between school exclusion, delinquency and subtypes of cyber- and F2F-victimizations: identifying and predicting risk profiles and subtypes using latent class analysis.

    Science.gov (United States)

    Barboza, Gia Elise

    2015-01-01

    This purpose of this paper is to identify risk profiles of youth who are victimized by on- and offline harassment and to explore the consequences of victimization on school outcomes. Latent class analysis is used to explore the overlap and co-occurrence of different clusters of victims and to examine the relationship between class membership and school exclusion and delinquency. Participants were a random sample of youth between the ages of 12 and 18 selected for inclusion to participate in the 2011 National Crime Victimization Survey: School Supplement. The latent class analysis resulted in four categories of victims: approximately 3.1% of students were highly victimized by both bullying and cyberbullying behaviors; 11.6% of youth were classified as being victims of relational bullying, verbal bullying and cyberbullying; a third class of students were victims of relational bullying, verbal bullying and physical bullying but were not cyberbullied (8%); the fourth and final class, characteristic of the majority of students (77.3%), was comprised of non-victims. The inclusion of covariates to the latent class model indicated that gender, grade and race were significant predictors of at least one of the four victim classes. School delinquency measures were included as distal outcomes to test for both overall and pairwise associations between classes. With one exception, the results were indicative of a significant relationship between school delinquency and the victim subtypes. Implications for these findings are discussed.

  5. Meta-Analysis of Genome-Wide Association Studies for Abdominal Aortic Aneurysm Identifies Four New Disease-Specific Risk Loci

    DEFF Research Database (Denmark)

    Jones, Gregory T; Tromp, Gerard; Kuivaniemi, Helena

    2017-01-01

    Abdominal aortic aneurysm (AAA) is a complex disease with both genetic and environmental risk factors. Together, 6 previously identified risk loci only explain a small proportion of the heritability of AAA. To identify additional AAA risk loci using data from all available genome-wide association...... cardiovascular diseases and related traits suggesting that traditional cardiovascular risk factor management may only have limited value in preventing the progression of aneurysmal disease....

  6. Genome-wide meta-analysis identifies 56 bone mineral density loci and reveals 14 loci associated with risk of fracture

    DEFF Research Database (Denmark)

    Estrada, Karol; Styrkarsdottir, Unnur; Evangelou, Evangelos

    2012-01-01

    Bone mineral density (BMD) is the most widely used predictor of fracture risk. We performed the largest meta-analysis to date on lumbar spine and femoral neck BMD, including 17 genome-wide association studies and 32,961 individuals of European and east Asian ancestry. We tested the top BMD-associ...

  7. Genome-wide meta-analysis identifies 56 bone mineral density loci and reveals 14 loci associated with risk of fracture

    NARCIS (Netherlands)

    Estrada, Karol; Styrkarsdottir, Unnur; Evangelou, Evangelos; Hsu, Yi-Hsiang; Duncan, Emma L.; Ntzani, Evangelia E.; Oei, Ling; Albagha, Omar M. E.; Amin, Najaf; Kemp, John P.; Koller, Daniel L.; Li, Guo; Liu, Ching-Ti; Minster, Ryan L.; Moayyeri, Alireza; Vandenput, Liesbeth; Willner, Dana; Xiao, Su-Mei; Yerges-Armstrong, Laura M.; Zheng, Hou-Feng; Alonso, Nerea; Eriksson, Joel; Kammerer, Candace M.; Kaptoge, Stephen K.; Leo, Paul J.; Thorleifsson, Gudmar; Wilson, Scott G.; Wilson, James F.; Aalto, Ville; Alen, Markku; Aragaki, Aaron K.; Aspelund, Thor; Center, Jacqueline R.; Dailiana, Zoe; Duggan, David J.; Garcia, Melissa; Garcia-Giralt, Natalia; Giroux, Sylvie; Hallmans, Goran; Hocking, Lynne J.; Husted, Lise Bjerre; Jameson, Karen A.; Khusainova, Rita; Kim, Ghi Su; Kooperberg, Charles; Koromila, Theodora; Kruk, Marcin; Laaksonen, Marika; Lacroix, Andrea Z.; Lee, Seung Hun; Leung, Ping C.; Lewis, Joshua R.; Masi, Laura; Mencej-Bedrac, Simona; Nguyen, Tuan V.; Nogues, Xavier; Patel, Millan S.; Prezelj, Janez; Rose, Lynda M.; Scollen, Serena; Siggeirsdottir, Kristin; Smith, Albert V.; Svensson, Olle; Trompet, Stella; Trummer, Olivia; van Schoor, Natasja M.; Woo, Jean; Zhu, Kun; Balcells, Susana; Brandi, Maria Luisa; Buckley, Brendan M.; Cheng, Sulin; Christiansen, Claus; Cooper, Cyrus; Dedoussis, George; Ford, Ian; Frost, Morten; Goltzman, David; Gonzalez-Macias, Jesus; Kahonen, Mika; Karlsson, Magnus; Khusnutdinova, Elza; Koh, Jung-Min; Kollia, Panagoula; Langdahl, Bente Lomholt; Leslie, William D.; Lips, Paul; Ljunggren, Osten; Lorenc, Roman S.; Marc, Janja; Mellstrom, Dan; Obermayer-Pietsch, Barbara; Olmos, Jose M.; Pettersson-Kymmer, Ulrika; Reid, David M.; Riancho, Jose A.; Ridker, Paul M.; Rousseau, Francois; Slagboom, P. Eline; Tang, Nelson L. S.; Urreizti, Roser; Van Hul, Wim; Viikari, Jorma; Zarrabeitia, Maria T.; Aulchenko, Yurii S.; Castano-Betancourt, Martha; Grundberg, Elin; Herrera, Lizbeth; Ingvarsson, Thorvaldur; Johannsdottir, Hrefna; Kwan, Tony; Li, Rui; Luben, Robert; Medina-Gomez, Carolina; Palsson, Stefan Th; Reppe, Sjur; Rotter, Jerome I.; Sigurdsson, Gunnar; van Meurs, Joyce B. J.; Verlaan, Dominique; Williams, Frances M. K.; Wood, Andrew R.; Zhou, Yanhua; Gautvik, Kaare M.; Pastinen, Tomi; Raychaudhuri, Soumya; Cauley, Jane A.; Chasman, Daniel I.; Clark, Graeme R.; Cummings, Steven R.; Danoy, Patrick; Dennison, Elaine M.; Eastell, Richard; Eisman, John A.; Gudnason, Vilmundur; Hofman, Albert; Jackson, Rebecca D.; Jones, Graeme; Jukema, J. Wouter; Khaw, Kay-Tee; Lehtimaki, Terho; Liu, Yongmei; Lorentzon, Mattias; McCloskey, Eugene; Mitchell, Braxton D.; Nandakumar, Kannabiran; Nicholson, Geoffrey C.; Oostra, Ben A.; Peacock, Munro; Pols, Huibert A. P.; Prince, Richard L.; Raitakari, Olli; Reid, Ian R.; Robbins, John; Sambrook, Philip N.; Sham, Pak Chung; Shuldiner, Alan R.; Tylavsky, Frances A.; van Duijn, Cornelia M.; Wareham, Nick J.; Cupples, L. Adrienne; Econs, Michael J.; Evans, David M.; Harris, Tamara B.; Kung, Annie Wai Chee; Psaty, Bruce M.; Reeve, Jonathan; Spector, Timothy D.; Streeten, Elizabeth A.; Zillikens, M. Carola; Thorsteinsdottir, Unnur; Ohlsson, Claes; Karasik, David; Richards, J. Brent; Brown, Matthew A.; Stefansson, Kari; Uitterlinden, Andre G.; Ralston, Stuart H.; Ioannidis, John P. A.; Kiel, Douglas P.; Rivadeneira, Fernando

    2012-01-01

    Bone mineral density (BMD) is the most widely used predictor of fracture risk. We performed the largest meta-analysis to date on lumbar spine and femoral neck BMD, including 17 genome-wide association studies and 32,961 individuals of European and east Asian ancestry. We tested the top BMD-associate

  8. Whole Genome Pathway Analysis Identifies an Association of Cadmium Response Gene Loss with Copy Number Variation in Mutant p53 Bearing Uterine Endometrial Carcinomas.

    Directory of Open Access Journals (Sweden)

    Joe Ryan Delaney

    Full Text Available Massive chromosomal aberrations are a signature of advanced cancer, although the factors promoting the pervasive incidence of these copy number alterations (CNAs are poorly understood. Gatekeeper mutations, such as p53, contribute to aneuploidy, yet p53 mutant tumors do not always display CNAs. Uterine Corpus Endometrial Carcinoma (UCEC offers a unique system to begin to evaluate why some cancers acquire high CNAs while others evolve another route to oncogenesis, since about half of p53 mutant UCEC tumors have a relatively flat CNA landscape and half have 20-90% of their genome altered in copy number.We extracted copy number information from 68 UCEC genomes mutant in p53 by the GISTIC2 algorithm. GO term pathway analysis, via GOrilla, was used to identify suppressed pathways. Genes within these pathways were mapped for focal or wide distribution. Deletion hotspots were evaluated for temporal incidence.Multiple pathways contributed to the development of pervasive CNAs, including developmental, metabolic, immunological, cell adhesion and cadmium response pathways. Surprisingly, cadmium response pathway genes are predicted as the earliest loss events within these tumors: in particular, the metallothionein genes involved in heavy metal sequestration. Loss of cadmium response genes were associated with copy number changes and poorer prognosis, contrasting with 'copy number flat' tumors which instead exhibited substantive mutation.Metallothioneins are lost early in the development of high CNA endometrial cancer, providing a potential mechanism and biological rationale for increased incidence of endometrial cancer with cadmium exposure. Developmental and metabolic pathways are altered later in tumor progression.

  9. Genome-wide meta-analysis identifies 56 bone mineral density loci and reveals 14 loci associated with risk of fracture

    NARCIS (Netherlands)

    K. Estrada Gil (Karol); U. Styrkarsdottir (Unnur); E. Evangelou (Evangelos); Y.-H. Hsu (Yi-Hsiang); E.L. Duncan (Emma); E.E. Ntzani (Evangelia); L. Oei (Ling); O.M.E. Albagha (Omar M.); N. Amin (Najaf); J.P. Kemp (John); D.L. Koller (Daniel); G. Li (Guo); C.-T. Liu (Ching-Ti); R.L. Minster (Ryan); A. Moayyeri (Alireza); L. Vandenput (Liesbeth); D. Willner (Dana); S.-M. Xiao (Su-Mei); L.M. Yerges-Armstrong (Laura); H.-F. Zheng (Hou-Feng); N. Alonso (Nerea); J. Eriksson (Joel); C.M. Kammerer (Candace); S. Kaptoge (Stephen); P.J. Leo (Paul); G. Thorleifsson (Gudmar); S.G. Wilson (Scott); J.F. Wilson (James); V. Aalto (Ville); T.A. van Alen (Theo); A.K. Aragaki (Aaron); T. Aspelund (Thor); J.R. Center (Jacqueline); Z. Dailiana (Zoe); C. Duggan; M. Garcia (Melissa); N. Garcia-Giralt (Natàlia); S. Giroux (Sylvie); G. Hallmans (Göran); L.J. Hocking (Lynne); L.B. Husted (Lise Bjerre); K. Jameson (Karen); R. Khusainova (Rita); G.S. Kim (Ghi Su); C. Kooperberg (Charles); T. Koromila (Theodora); M. Kruk (Marcin); M. Laaksonen (Marika); A.Z. LaCroix (Andrea); S.U. Lee (Seung); P.C. Leung (Ping); J.R. Lewis (Joshua); L. Masi (Laura); S. Mencej-Bedrac (Simona); T.V. Nguyen (Tuan); X. Nogues (Xavier); M.S. Patel (Millan); J. Prezelj (Janez); L.M. Rose (Lynda); S. Scollen (Serena); K. Siggeirsdottir (Kristin); G.D. Smith; O. Svensson (Olle); S. Trompet (Stella); O. Trummer (Olivia); N.M. van Schoor (Natasja); M.M. Woo (Margaret M.); K. Zhu (Kun); S. Balcells (Susana); M.L. Brandi; B.M. Buckley (Brendan M.); S. Cheng (Sulin); C. Christiansen; C. Cooper (Charles); G.V. Dedoussis (George); I. Ford (Ian); M. Frost (Morten); D. Goltzman (David); J. González-Macías (Jesús); M. Kähönen (Mika); M. Karlsson (Magnus); E.K. Khusnutdinova (Elza); J.-M. Koh (Jung-Min); P. Kollia (Panagoula); B.L. Langdahl (Bente); W.D. Leslie (William); P. Lips (Paul); O. Ljunggren (Östen); R. Lorenc (Roman); J. Marc (Janja); D. Mellström (Dan); B. Obermayer-Pietsch (Barbara); D. Olmos (David); U. Pettersson-Kymmer (Ulrika); D.M. Reid (David); J.A. Riancho (José); P.M. Ridker (Paul); M.F. Rousseau (Francois); P.E.S. Lagboom (P Eline); N.L.S. Tang (Nelson L.); R. Urreizti (Roser); W. Van Hul (Wim); J. Viikari (Jorma); M.T. Zarrabeitia (María); Y.S. Aulchenko (Yurii); M.C. Castaño Betancourt (Martha); E. Grundberg (Elin); L. Herrera (Lizbeth); T. Ingvarsson (Torvaldur); H. Johannsdottir (Hrefna); T. Kwan (Tony); R. Li (Rui); R.N. Luben (Robert); M.C. Medina-Gomez (Carolina); S. Th Palsson (Stefan); S. Reppe (Sjur); J.I. Rotter (Jerome); G. Sigurdsson (Gunnar); J.B.J. van Meurs (Joyce); D.J. Verlaan (Dominique); F.M. Williams (Frances); A.R. Wood (Andrew); Y. Zhou (Yanhua); K.M. Gautvik (Kaare); T. Pastinen (Tomi); S. Raychaudhuri (Soumya); J.A. Cauley (Jane); D.I. Chasman (Daniel); G.R. Clark (Graeme); S. Cummings; P. Danoy (Patrick); E.M. Dennison (Elaine); R. Eastell (Richard); J.A. Eisman (John); V. Gudnason (Vilmundur); A. Hofman (Albert); R.D. Jackson (Rebecca); G. Jones (Graeme); J.W. Jukema (Jan Wouter); K-T. Khaw (Kay-Tee); T. Lehtimäki (Terho); Y. Liu (Yongmei); M. Lorentzon (Mattias); E.V. McCloskey (Eugene); B.D. Mitchell (Braxton); K. Nandakumar (Kannabiran); G.C. Nicholson (Geoffrey); B.A. Oostra (Ben); M. Peacock (Munro); H.A.P. Pols (Huib); R.L. Prince (Richard); O. Raitakari (Olli); I.R. Reid (Ian); J. Robbins (John); P.N. Sambrook (Philip); P.C. Sham (Pak); A.R. Shuldiner (Alan); F.A. Tylavsky (Frances); C.M. van Duijn (Cock); N.J. Wareham (Nick); L.A. Cupples (Adrienne); M.J. Econs (Michael); D.M. Evans (David); T.B. Harris (Tamara); A.W.C. Kung (Annie); B.M. Psaty (Bruce); J. Reeve (Jonathan); T.D. Spector (Timothy); E.A. Streeten (Elizabeth); M.C. Zillikens (Carola); U. Thorsteinsdottir (Unnur); C. Ohlsson (Claes); D. Karasik (David); J.B. Richards (Brent); M.A. Brown (Matthew); J-A. Zwart (John-Anker); A.G. Uitterlinden (André); S.H. Ralston (Stuart); J.P.A. Ioannidis (John); D.P. Kiel (Douglas); F. Rivadeneira Ramirez (Fernando)

    2012-01-01

    textabstractBone mineral density (BMD) is the most widely used predictor of fracture risk. We performed the largest meta-analysis to date on lumbar spine and femoral neck BMD, including 17 genome-wide association studies and 32,961 individuals of European and east Asian ancestry. We tested the top B

  10. Identifying hazards associated with lava deltas

    Science.gov (United States)

    Poland, Michael P.; Orr, Tim R.

    2014-01-01

    Lava deltas, formed where lava enters the ocean and builds a shelf of new land extending from the coastline, represent a significant local hazard, especially on populated ocean island volcanoes. Such structures are unstable and prone to collapse—events that are often accompanied by small explosions that can deposit boulders and cobbles hundreds of meters inland. Explosions that coincide with collapses of the East Lae ‘Apuki lava delta at Kīlauea Volcano, Hawai‘i, during 2005–2007 followed an evolutionary progression mirroring that of the delta itself. A collapse that occurred when the lava–ocean entry was active was associated with a blast of lithic blocks and dispersal of spatter and fine, glassy tephra. Shortly after delta growth ceased, a collapse exposed hot rock to cold ocean water, resulting in an explosion composed entirely of lithic blocks and lapilli. Further collapse of the delta after several months of inactivity, by which time it had cooled significantly, resulted in no recognizable explosion deposit. Seaward displacement and subsidence of the coastline immediately inland of the delta was measured by both satellite and ground-based sensors and occurred at rates of several centimeters per month even after the lava–ocean entry had ceased. The anomalous deformation ended only after complete collapse of the delta. Monitoring of ground deformation may therefore provide an indication of the potential for delta collapse, while the hazard associated with collapse can be inferred from the level of activity, or the time since the last activity, on the delta.

  11. Overexpression of E2F mRNAs associated with gastric cancer progression identified by the transcription factor and miRNA co-regulatory network analysis.

    Science.gov (United States)

    Zhang, XiaoTian; Ni, ZhaoHui; Duan, ZiPeng; Xin, ZhuoYuan; Wang, HuaiDong; Tan, JiaYi; Wang, GuoQing; Li, Fan

    2015-01-01

    Gene expression is regulated at the transcription and translation levels; thus, both transcription factors (TFs) and microRNAs (miRNA) play roles in regulation of gene expression. This study profiled differentially expressed mRNAs and miRNAs in gastric cancer tissues to construct a TF and miRNA co-regulatory network in order to identify altered genes in gastric cancer progression. A total of 70 cases gastric cancer and paired adjacent normal tissues were subjected to cDNA and miRNA microarray analyses. We obtained 887 up-regulated and 93 down-regulated genes and 41 down-regulated and 4 up-regulated miRNAs in gastric cancer tissues. Using the Transcriptional Regulatory Element Database, we obtained 105 genes that are regulated by the E2F family of genes and using Targetscan, miRanda, miRDB and miRWalk tools, we predicted potential targeting genes of these 45 miRNAs. We then built up the E2F-related TF and miRNA co-regulatory gene network and identified 9 hub-genes. Furthermore, we found that levels of E2F1, 2, 3, 4, 5, and 7 mRNAs associated with gastric cancer cell invasion capacity, and has associated with tumor differentiation. These data showed Overexpression of E2F mRNAs associated with gastric cancer progression.

  12. Genome-wide analysis identifies colonic genes differentially associated with serum leptin and insulin concentrations in C57BL/6J mice fed a high-fat diet

    Science.gov (United States)

    Yoon, Joon; Chu, Jae Ryang; Bae, Yun Jung; Lee, Seungyeoun; Park, Taesung; Sung, Mi-Kyung

    2017-01-01

    Obesity-induced chronic inflammation is known to increase the risk of ulcerative colitis, Crohn’s disease, and colorectal cancer. Accumulating evidence suggests that leptin and insulin are key molecules linking obesity with diseases of the lower intestine. Here, we identified serum phenotype-associated genes in the colon of diet-induced obese mice as early biomarkers of obesity-associated colonic diseases. C57BL/6J mice were fed with either normal diet (ND, 15% of fat calories) or high-fat diet (HFD, 45% of fat calories) for 8 weeks. Serum concentrations of insulin, insulin-like growth factor-1 (IGF-1), leptin, and adiponectin were measured as obesity-related phenotypic markers. Genome-wide gene expression profiles of colon tissue were determined, followed by statistical analyses to detect differentially expressed and serum phenotype-associated genes. HFD-fed mice showed higher serum concentrations of leptin (P < 0.001) and insulin (P < 0.01) than those in the ND group, whereas serum IGF-1 and adiponectin concentrations did not differ between the two dietary groups. Among differentially expressed genes affected by HFD, 135, 128, 110, and 341 genes were associated with serum levels of leptin, insulin, IGF-1, and adiponectin, respectively. We identified 17 leptin-associated genes and 4 insulin-associated genes that inversely responded to HFD and ND. Among these, leptin-associated Peli3 (Pellino E3 ubiquitin protein ligase family member 3), Creb1 (cAMP responsive element binding protein 1), and Enpp2 (ectonucleotide pyrophosphatase/phosphodiesterase 2, autotaxin) and insulin-associated Centg1 (AGAP2, ArfGAP with GTPase domain) are reported to play a role either in obesity or colonic diseases. mRNA expression of these genes was validated by RT-qPCR. Our data suggest Peli3, Creb1, Enpp2, and Centg1 as potential early biomarker candidates for obesity-induced pathophysiological changes in the colon. Future studies verifying the function of these candidates are needed

  13. Genome-wide meta-analysis for serum calcium identifies significantly associated SNPs near the calcium-sensing receptor (CASR gene.

    Directory of Open Access Journals (Sweden)

    Karen Kapur

    2010-07-01

    Full Text Available Calcium has a pivotal role in biological functions, and serum calcium levels have been associated with numerous disorders of bone and mineral metabolism, as well as with cardiovascular mortality. Here we report results from a genome-wide association study of serum calcium, integrating data from four independent cohorts including a total of 12,865 individuals of European and Indian Asian descent. Our meta-analysis shows that serum calcium is associated with SNPs in or near the calcium-sensing receptor (CASR gene on 3q13. The top hit with a p-value of 6.3 x 10(-37 is rs1801725, a missense variant, explaining 1.26% of the variance in serum calcium. This SNP had the strongest association in individuals of European descent, while for individuals of Indian Asian descent the top hit was rs17251221 (p = 1.1 x 10(-21, a SNP in strong linkage disequilibrium with rs1801725. The strongest locus in CASR was shown to replicate in an independent Icelandic cohort of 4,126 individuals (p = 1.02 x 10(-4. This genome-wide meta-analysis shows that common CASR variants modulate serum calcium levels in the adult general population, which confirms previous results in some candidate gene studies of the CASR locus. This study highlights the key role of CASR in calcium regulation.

  14. Transcriptome analysis of an apple (Malus × domestica) yellow fruit somatic mutation identifies a gene network module highly associated with anthocyanin and epigenetic regulation

    OpenAIRE

    El-sharkawy, Islam; Liang, Dong; Xu, Kenong

    2015-01-01

    Using RNA-seq, this study analysed an apple (Malus×domestica) anthocyanin-deficient yellow-skin somatic mutant ‘Blondee’ (BLO) and its red-skin parent ‘Kidd’s D-8’ (KID), the original name of ‘Gala’, to understand the molecular mechanisms underlying the mutation. A total of 3299 differentially expressed genes (DEGs) were identified between BLO and KID at four developmental stages and/or between two adjacent stages within BLO and/or KID. A weighted gene co-expression network analysis (WGCNA) o...

  15. Transcriptome analysis of periodontitis-associated fibroblasts by CAGE sequencing identified DLX5 and RUNX2 long variant as novel regulators involved in periodontitis

    Science.gov (United States)

    Horie, Masafumi; Yamaguchi, Yoko; Saito, Akira; Nagase, Takahide; Lizio, Marina; Itoh, Masayoshi; Kawaji, Hideya; Lassmann, Timo; Carninci, Piero; Forrest, Alistair R. R.; Hayashizaki, Yoshihide; Suzutani, Tatsuo; Kappert, Kai; Micke, Patrick; Ohshima, Mitsuhiro

    2016-01-01

    Periodontitis is affecting over half of the adult population, and represents a major public health problem. Previously, we isolated a subset of gingival fibroblasts (GFs) from periodontitis patients, designated as periodontitis-associated fibroblasts (PAFs), which were highly capable of collagen degradation. To elucidate their molecular profiles, GFs isolated form healthy and periodontitis-affected gingival tissues were analyzed by CAGE-seq and integrated with the FANTOM5 atlas. GFs from healthy gingival tissues displayed distinctive patterns of CAGE profiles as compared to fibroblasts from other organ sites and characterized by specific expression of developmentally important transcription factors such as BARX1, PAX9, LHX8, and DLX5. In addition, a novel long non-coding RNA associated with LHX8 was described. Furthermore, we identified DLX5 regulating expression of the long variant of RUNX2 transcript, which was specifically active in GFs but not in their periodontitis-affected counterparts. Knockdown of these factors in GFs resulted in altered expression of extracellular matrix (ECM) components. These results indicate activation of DLX5 and RUNX2 via its distal promoter represents a unique feature of GFs, and is important for ECM regulation. Down-regulation of these transcription factors in PAFs could be associated with their property to degrade collagen, which may impact on the process of periodontitis. PMID:27645561

  16. Comparative Genomic Analysis of Asian Haemorrhagic Septicaemia-Associated Strains of Pasteurella multocida Identifies More than 90 Haemorrhagic Septicaemia-Specific Genes.

    Directory of Open Access Journals (Sweden)

    Ahmed M Moustafa

    Full Text Available Pasteurella multocida is the primary causative agent of a range of economically important diseases in animals, including haemorrhagic septicaemia (HS, a rapidly fatal disease of ungulates. There is limited information available on the diversity of P. multocida strains that cause HS. Therefore, we determined draft genome sequences of ten disease-causing isolates and two vaccine strains and compared these genomes using a range of bioinformatic analyses. The draft genomes of the 12 HS strains were between 2,298,035 and 2,410,300 bp in length. Comparison of these genomes with the North American HS strain, M1404, and other available P. multocida genomes (Pm70, 3480, 36950 and HN06 identified a core set of 1,824 genes. A set of 96 genes was present in all HS isolates and vaccine strains examined in this study, but absent from Pm70, 3480, 36950 and HN06. Moreover, 59 genes were shared only by the Asian B:2 strains. In two Pakistani isolates, genes with high similarity to genes in the integrative and conjugative element, ICEPmu1 from strain 36950 were identified along with a range of other antimicrobial resistance genes. Phylogenetic analysis indicated that the HS strains formed clades based on their country of isolation. Future analysis of the 96 genes unique to the HS isolates will aid the identification of HS-specific virulence attributes and facilitate the development of disease-specific diagnostic tests.

  17. Global transcriptome analysis of peripheral blood identifies the most significantly down-regulated genes associated with metabolism regulation in Klinefelter syndrome.

    Science.gov (United States)

    Huang, Jin; Zhang, Liang; Deng, Hua; Chang, Liang; Liu, Qinli; Liu, Ping

    2015-01-01

    The molecular pathogenesis of Klinefelter Syndrome (KS) is not fully understood. The aim of this study was to determine differences in gene expression patterns between KS patients and control individuals to help identify disease-related genes and biological pathways. Gene expression profiles of five KS patients and five healthy men were determined by microarray; 21 differentially expressed genes with a fold-change >1.5 and q-value <0.05 were identified between the groups. Genes associated with metabolism regulation and encoding liver fatty acid-binding protein (FABP1), aldehyde dehydrogenase 1 family member L1 (ALDH1L1), and vitronectin (VTN) were the most-significantly down-regulated in KS, as confirmed by quantitative reverse transcription PCR. Notably, none of these differentially expressed genes are normally found on the X chromosome. Thus, our results indicate that aberrant metabolism is involved in the pathogenesis of KS. Further elucidation of the how aberrant expression of metabolism-related genes affect the pathogenesis of KS may lead to the development of novel preventative and therapeutic strategies.

  18. The MS(E)-proteomic analysis of gliadins and glutenins in wheat grain identifies and quantifies proteins associated with celiac disease and baker's asthma.

    Science.gov (United States)

    Uvackova, Lubica; Skultety, Ludovit; Bekesova, Slavka; McClain, Scott; Hajduch, Martin

    2013-11-20

    Precise content of gliadin (Glia) and glutenin (Glu) proteins in wheat grain are largely unknown despite their association with celiac disease, various allergies, and physical processing properties of wheat. Developing methods to quantitatively measure clinically relevant proteins could support advancement in understanding exposure thresholds and clinical study design. The aim of this study was to use a data-independent mass spectrometry (MS(E)) approach for quantifying gliadin and glutenin proteins in wheat grain. The biologically replicated analysis yielded concentrations for 34 gliadin and 22 glutenin proteins. The primary focus of this survey was on measuring celiac disease proteins and baker's asthma associated proteins along with the proteins associated with viscoelastic properties of wheat flour and grain texture. The technical coefficients of variation ranged from 0.12 to 1.39 and indicate that MS(E) proteomics is a reproducible quantitative method for the determination of gliadin and glutenin content in the highly complex matrix of protein extracts from wheat grain. This article is part of a Special Issue entitled: Translational Plant Proteomics.

  19. Morphological, molecular and cross-breeding analysis of geographic populations of coconut-mite associated predatory mites identified as Neoseiulus baraki: evidence for cryptic species?

    Science.gov (United States)

    Famah Sourassou, Nazer; Hanna, Rachid; Zannou, Ignace; Breeuwer, Johannes A J; de Moraes, Gilberto; Sabelis, Maurice W

    2012-05-01

    Surveys were conducted in Brazil, Benin and Tanzania to collect predatory mites as candidates for control of the coconut mite Aceria guerreronis Keifer, a serious pest of coconut fruits. At all locations surveyed, one of the most dominant predators on infested coconut fruits was identified as Neoseiulus baraki Athias-Henriot, based on morphological similarity with regard to taxonomically relevant characters. However, scrutiny of our own and published descriptions suggests that consistent morphological differences may exist between the Benin population and those from the other geographic origins. In this study, we combined three methods to assess whether these populations belong to one species or a few distinct, yet closely related species. First, multivariate analysis of 32 morphological characters showed that the Benin population differed from the other three populations. Second, DNA sequence analysis based on the mitochondrial cytochrome oxidase subunit I (COI) showed the same difference between these populations. Third, cross-breeding between populations was unsuccessful in all combinations. These data provide evidence for the existence of cryptic species. Subsequent morphological research showed that the Benin population can be distinguished from the others by a new character (not included in the multivariate analysis), viz. the number of teeth on the fixed digit of the female chelicera.

  20. Meta-analysis of genome-wide scans for human adult stature identifies novel Loci and associations with measures of skeletal frame size.

    Directory of Open Access Journals (Sweden)

    Nicole Soranzo

    2009-04-01

    Full Text Available Recent genome-wide (GW scans have identified several independent loci affecting human stature, but their contribution through the different skeletal components of height is still poorly understood. We carried out a genome-wide scan in 12,611 participants, followed by replication in an additional 7,187 individuals, and identified 17 genomic regions with GW-significant association with height. Of these, two are entirely novel (rs11809207 in CATSPER4, combined P-value = 6.1x10(-8 and rs910316 in TMED10, P-value = 1.4x10(-7 and two had previously been described with weak statistical support (rs10472828 in NPR3, P-value = 3x10(-7 and rs849141 in JAZF1, P-value = 3.2x10(-11. One locus (rs1182188 at GNA12 identifies the first height eQTL. We also assessed the contribution of height loci to the upper- (trunk and lower-body (hip axis and femur skeletal components of height. We find evidence for several loci associated with trunk length (including rs6570507 in GPR126, P-value = 4x10(-5 and rs6817306 in LCORL, P-value = 4x10(-4, hip axis length (including rs6830062 at LCORL, P-value = 4.8x10(-4 and rs4911494 at UQCC, P-value = 1.9x10(-4, and femur length (including rs710841 at PRKG2, P-value = 2.4x10(-5 and rs10946808 at HIST1H1D, P-value = 6.4x10(-6. Finally, we used conditional analyses to explore a possible differential contribution of the height loci to these different skeletal size measurements. In addition to validating four novel loci controlling adult stature, our study represents the first effort to assess the contribution of genetic loci to three skeletal components of height. Further statistical tests in larger numbers of individuals will be required to verify if the height loci affect height preferentially through these subcomponents of height.

  1. Laser capture microdissection and cDNA array analysis of endometrium identify CCL16 and CCL21 as epithelial-derived inflammatory mediators associated with endometriosis

    Directory of Open Access Journals (Sweden)

    Jones Rebecca L

    2007-05-01

    Full Text Available Abstract Background Understanding the pathophysiology of chemokine secretion in endometriosis may offer a novel area of therapeutic intervention. This study aimed to identify chemokines differentially expressed in epithelial glands in eutopic endometrium from normal women and those with endometriosis, and to establish the expression profiles of key chemokines in endometriotic lesions. Methods Laser capture microdissection isolated epithelial glands from endometrial eutopic tissue from women with and without endometriosis in the mid-secretory phase of their menstrual cycles. Gene profiling of the excised glands used a human chemokine and receptor cDNA array. Selected chemokines were further examined using real-time PCR and immunohistochemistry. Results 22 chemokine/receptor genes were upregulated and two downregulated in pooled endometrial epithelium of women with endometriosis compared with controls. CCL16 and CCL21 mRNA was confirmed as elevated in some women with endometriosis compared to controls on individual samples. Immunoreactive CCL16 and CCL21 were predominantly confined to glands in eutopic and ectopic endometrium: leukocytes also stained. Immunoreactive CCL16 was overall higher in glands in ectopic vs. eutopic endometrium from the same woman (P Conclusion This study provides novel candidate molecules and suggests a potential local role for CCL16 and CCL21 as mediators contributing to the inflammatory events associated with endometriosis.

  2. RNA-seq analysis of prostate cancer in the Chinese population identifies recurrent gene fusions,cancer-associated long noncoding RNAs and aberrant alternative splicings

    Institute of Scientific and Technical Information of China (English)

    Shancheng Ren; Weidong Xu; Chao Chen; Fubo Wang; Xinwu Guo; Ji Lu; Jun Yang; Min Wei; Zhijian Tian; Yinghui Guan; Liang Tang; Zhiyu Peng; Chuanliang Xu; Linhui Wang; Xu Gao; Wei Tian; Jian Wang; Huanming Yang; Jun Wang; Yinghao Sun; Jian-Hua Mao; Yongwei Yu; Changjun Yin; Xin Gao; Zilian Cui; Jibin Zhang; Kang Yi

    2012-01-01

    There are remarkable disparities among patients of different races with prostate cancer; however,the mechanism underlying this difference remains unclear.Here,we present a comprehensive landscape of the transcriptome profiles of 14 primary prostate cancers and their paired normal counterparts from the Chinese population using RNA-seq,revealing tremendous diversity across prostate cancer transcriptomes with respect to gene fusions,long noneoding RNAs (long ncRNA),alternative splicing and somatic mutations.Three of the 14 tumors (21.4%) harbored a TMPRSS2-ERG fusion,and the low prevalence of this fusion in Chinese patients was further confirmed in an additional tumor set (10/54=18.5%).Notably,two novel gene fusions,CTAGE5-KHDRBS3 (20/54=37%) and USP9Y-TTTY15(19/54=35.2%),occurred frequently in our patient cohort.Further systematic transcriptional profiling identified numerous long ncRNAs that were differentially expressed in the tumors.An analysis of the correlation between expression of long ncRNA and genes suggested that long ncRNAs may have functions beyond transcriptional regulation.This study yielded new insights into the pathogenesis of prostate cancer in the Chinese population.

  3. Pan-Genome Analysis of Human Gastric Pathogen H. pylori: Comparative Genomics and Pathogenomics Approaches to Identify Regions Associated with Pathogenicity and Prediction of Potential Core Therapeutic Targets

    Directory of Open Access Journals (Sweden)

    Amjad Ali

    2015-01-01

    Full Text Available Helicobacter pylori is a human gastric pathogen implicated as the major cause of peptic ulcer and second leading cause of gastric cancer (~70% around the world. Conversely, an increased resistance to antibiotics and hindrances in the development of vaccines against H. pylori are observed. Pan-genome analyses of the global representative H. pylori isolates consisting of 39 complete genomes are presented in this paper. Phylogenetic analyses have revealed close relationships among geographically diverse strains of H. pylori. The conservation among these genomes was further analyzed by pan-genome approach; the predicted conserved gene families (1,193 constitute ~77% of the average H. pylori genome and 45% of the global gene repertoire of the species. Reverse vaccinology strategies have been adopted to identify and narrow down the potential core-immunogenic candidates. Total of 28 nonhost homolog proteins were characterized as universal therapeutic targets against H. pylori based on their functional annotation and protein-protein interaction. Finally, pathogenomics and genome plasticity analysis revealed 3 highly conserved and 2 highly variable putative pathogenicity islands in all of the H. pylori genomes been analyzed.

  4. Phylogenetic analysis identifies a 'Candidatus Phytoplasma oryzae'-related strain associated with yellow leaf disease of areca palm (Areca catechu L.) in India.

    Science.gov (United States)

    Ramaswamy, Manimekalai; Nair, Smita; Soumya, V P; Thomas, George V

    2013-04-01

    Yellow leaf disease (YLD) with phytoplasmal aetiology is a serious disease of arecanut palm in India. The present study was undertaken to characterize the 16S rRNA and secA gene sequences of the Indian arecanut YLD phytoplasma for 'Candidatus Phytoplasma' species assignment and 16Sr group/subgroup classification. Phytoplasma 16S rRNA genes were amplified using three sets of semi-nested/nested primers, 1F7/7R3-1F7/7R2, 4Fwd/3Rev-4Fwd/5Rev and P1/P7-R16F2n/R16R2, producing amplicons of 491, 1150 and 1250 bp, respectively, from diseased samples. The amplicons were cloned and sequenced. A blast search showed that the sequences had 99 % similarity with sugar cane white leaf phytoplasma (16SrXI) and Napier grass stunt phytoplasma (16SrXI). Phylogenetic analysis based on the 16S rRNA gene revealed the clustering of YLD phytoplasma with the rice yellow dwarf and Bermuda grass white leaf groups. The YLD phytoplasma F2nR2 sequence shared 97.5 % identity with that of 'Candidatus Phytoplasma oryzae' and 97.8 % identity with that of 'Candidatus Phytoplasma cynodontis'. Hence, for finer differentiation, we examined the secA gene-based phylogeny, where the YLD phytoplasma clustered with Napier grass stunt and sugar cane grassy shoot phytoplasmas, both belonging to the rice yellow dwarf group. Hence, we are assigning the Indian arecanut YLD phytoplasma as a 'Candidatus Phytoplasma oryzae'-related strain. Virtual RFLP analysis of a 1.2 kb fragment of the 16S rRNA gene (F2nR2 region) identified the Indian arecanut YLD phytoplasma as a member of 16SrXI-B subgroup. We name the phytoplasma Indian yellow leaf disease phytoplasma, to differentiate it from the Hainan YLD phytoplasma, which belongs to group 16SrI.

  5. Genome-Wide Association Analysis in Primary Sclerosing Cholangitis and Ulcerative Colitis Identifies Risk Loci at GPR35 and TCF4

    NARCIS (Netherlands)

    Ellinghaus, David; Folseraas, Trine; Holm, Kristian; Ellinghaus, Eva; Melum, Espen; Balschun, Tobias; Laerdahl, Jon K.; Shiryaev, Alexey; Gotthardt, Daniel N.; Weismueller, Tobias J.; Schramm, Christoph; Wittig, Michael; Bergquist, Annika; Bjornsson, Einar; Marschall, Hanns-Ulrich; Vatn, Morten; Teufel, Andreas; Rust, Christian; Gieger, Christian; Wichmann, H-Erich; Runz, Heiko; Sterneck, Martina; Rupp, Christian; Braun, Felix; Weersma, Rinse K.; Wijmenga, Cisca; Ponsioen, Cyriel Y.; Mathew, Christopher G.; Rutgeerts, Paul; Vermeire, Severine; Schrumpf, Erik; Hov, Johannes R.; Manns, Michael P.; Boberg, Kirsten M.; Schreiber, Stefan; Franke, Andre; Karlsen, Tom H.

    2013-01-01

    Approximately 60%-80% of patients with primary sclerosing cholangitis (PSC) have concurrent ulcerative colitis (UC). Previous genome-wide association studies (GWAS) in PSC have detected a number of susceptibility loci that also show associations in UC and other immune-mediated diseases. We aimed to

  6. Morphological, molecular and cross-breeding analysis of geographic populations of coconut-mite associated predatory mites identified as Neoseiulus baraki: evidence for cryptic species?

    NARCIS (Netherlands)

    N.F. Sourassou; R. Hanna; I. Zannou; J.A.J. Breeuwer; G. de Moraes; M.W. Sabelis

    2012-01-01

    Surveys were conducted in Brazil, Benin and Tanzania to collect predatory mites as candidates for control of the coconut mite Aceria guerreronis Keifer, a serious pest of coconut fruits. At all locations surveyed, one of the most dominant predators on infested coconut fruits was identified as Neosei

  7. A genome-wide association meta-analysis of diarrhoeal disease in young children identifies FUT2 locus and provides plausible biological pathways

    DEFF Research Database (Denmark)

    Bustamante, Mariona; Standl, Marie; Bassat, Quique

    2016-01-01

    More than a million childhood diarrhoeal episodes occur worldwide each year, and in developed countries a considerable part of them are caused by viral infections. In this study, we aimed to search for genetic variants associated with diarrhoeal disease in young children by meta-analyzing genome-...

  8. Large-Scale Exome-wide Association Analysis Identifies Loci for White Blood Cell Traits and Pleiotropy with Immune-Mediated Diseases

    NARCIS (Netherlands)

    Tajuddin, S.M. (Salman M.); U.M. Schick (Ursula); Eicher, J.D. (John D.); Chami, N. (Nathalie); Giri, A. (Ayush); J. Brody (Jennifer); W.D. Hill (W. David); T. Kacprowski (Tim); Li, J. (Jin); L.-P. Lyytikäinen (Leo-Pekka); A. Manichaikul (Ani); E. Mihailov (Evelin); M.L. O'Donoghue (Michelle L.); V.S. Pankratz (Shane); R. Pazoki (Raha); Polfus, L.M. (Linda M.); A.V. Smith (Albert Vernon); C. Schurmann (Claudia); Vacchi-Suzzi, C. (Caterina); D. Waterworth (Dawn); E. Evangelou (Evangelos); L.R. Yanek (Lisa); A.D. Burt (Alastair); M.-H. Chen (Ming-Huei); F.J.A. van Rooij (Frank); J. Floyd (James); A. Greinacher (Andreas); T.B. Harris (Tamara); H. Highland (Heather); L.A. Lange (Leslie); Y. Liu (Yongmei); R. Mägi (Reedik); M.A. Nalls (Michael); J. Mathias (Jasmine); D.A. Nickerson (Deborah); K. Nikus (Kjell); J.M. Starr (John); J.-C. Tardif (Jean-Claude); I. Tzoulaki; Velez Edwards, D.R. (Digna R.); L.C. Wallentin (Lars); T.M. Bartz (Traci M.); L.C. Becker (Lewis); Denny, J.C. (Joshua C.); Raffield, L.M. (Laura M.); J.D. Rioux (John); N. Friedrich (Nele); M. Fornage (Myriam); Gao, H. (He); J.N. Hirschhorn (Joel); D.C. Liewald (David C.); S.S. Rich (Stephen); A.G. Uitterlinden (André); Bastarache, L. (Lisa); D.M. Becker (Diane); E.A. Boerwinkle (Eric); de Denus, S. (Simon); E.P. Bottinger (Erwin); C. Hayward (Caroline); Hofman, A. (Albert); G. Homuth (Georg); E.M. Lange (Ethan); Launer, L.J. (Lenore J.); T. Lehtimäki (Terho); Y. Lu (Yingchang); A. Metspalu (Andres); C.J. O'Donnell (Christopher); Quarells, R.C. (Rakale C.); Richard, M. (Melissa); Torstenson, E.S. (Eric S.); K.D. Taylor (Kent); Vergnaud, A.-C. (Anne-Claire); A.B. Zonderman; D.R. Crosslin (David); I.J. Deary (Ian J.); M. Dörr (Marcus); P. Elliott (Paul); M. Evans (Michele); V. Gudnason (Vilmundur); M. Kähönen (Mika); B.M. Psaty (Bruce); Rotter, J.I. (Jerome I.); Slater, A.J. (Andrew J.); A. Dehghan (Abbas); White, H.D. (Harvey D.); S.K. Ganesh (Santhi); R.J.F. Loos (Ruth); T. Esko (Tõnu); Faraday, N. (Nauder); J.F. Wilson (James); M. Cushman (Mary Ann); A.D. Johnson (Andrew); T.L. Edwards (Todd L.); N.A. Zakai (Neil); G. Lettre (Guillaume); A. Reiner (Alexander); P. Auer (Paul)

    2016-01-01

    textabstractWhite blood cells play diverse roles in innate and adaptive immunity. Genetic association analyses of phenotypic variation in circulating white blood cell (WBC) counts from large samples of otherwise healthy individuals can provide insights into genes and biologic pathways involved in pr

  9. Factor analysis identifies subgroups of constipation

    Institute of Scientific and Technical Information of China (English)

    Philip G Dinning; Mike Jones; Linda Hunt; Sergio E Fuentealba; Jamshid Kalanter; Denis W King; David Z Lubowski; Nicholas J Talley; Ian J Cook

    2011-01-01

    AIM: To determine whether distinct symptom groupings exist in a constipated population and whether such grouping might correlate with quantifiable pathophysiological measures of colonic dysfunction. METHODS: One hundred and ninety-one patients presenting to a Gastroenterology clinic with constipation and 32 constipated patients responding to a newspaper advertisement completed a 53-item, wide-ranging selfreport questionnaire. One hundred of these patients had colonic transit measured scintigraphically. Factor analysis determined whether constipation-related symptoms grouped into distinct aspects of symptomatology. Cluster analysis was used to determine whether individual patients naturally group into distinct subtypes. RESULTS: Cluster analysis yielded a 4 cluster solution with the presence or absence of pain and laxative unresponsiveness providing the main descriptors. Amongst all clusters there was a considerable proportion of patients with demonstrable delayed colon transit, irritable bowel syndrome positive criteria and regular stool frequency. The majority of patients with these characteristics also reported regular laxative use. CONCLUSION: Factor analysis identified four constipation subgroups, based on severity and laxative unresponsiveness, in a constipated population. However, clear stratification into clinically identifiable groups remains imprecise.

  10. Genomewide meta-analysis identifies loci associated with IGF-I and IGFBP-3 levels with impact on age-related traits

    DEFF Research Database (Denmark)

    Teumer, Alexander; Qi, Qibin; Nethander, Maria

    2016-01-01

    The growth hormone/insulin-like growth factor (IGF) axis can be manipulated in animal models to promote longevity, and IGF-related proteins including IGF-I and IGF-binding protein-3 (IGFBP-3) have also been implicated in risk of human diseases including cardiovascular diseases, diabetes, and cancer...... IGFBP3 and genes within the NUBP2 locus (IGFALS and HAGH) may affect circulating IGF-I and IGFBP-3 concentrations. The IGF-I-decreasing allele of SNP rs934073, which is an eQTL of ASXL2, was associated with lower adiposity and higher likelihood of survival beyond 90 years. The known longevity...

  11. Association between the European GWAS-identified susceptibility locus at chromosome 4p16 and the risk of atrial septal defect: a case-control study in Southwest China and a meta-analysis.

    Directory of Open Access Journals (Sweden)

    Li Zhao

    Full Text Available Atrial septal defect (ASD is the third most frequent type of congenital heart anomaly, featuring shunting of blood between the two atria. Gene-environment interaction remains to be an acknowledged cause for ASD occurrence. A recent European genome-wide association study (GWAS of congenital heart disease (CHD identified 3 susceptibility SNPs at chromosome 4p16 associated with ASD: rs870142, rs16835979 and rs6824295. A Chinese-GWAS of CHD conducted in the corresponding period did not reveal the 3 susceptibility SNPs, but reported 2 different risk SNPs: rs2474937 and rs1531070. Therefore, we aimed to investigate the associations between the 3 European GWAS-identified susceptibility SNPs and ASD risk in the Han population in southwest China. Additionally, to increase the robustness of our current analysis, we conducted a meta-analysis combining published studies and our current case-control study. We performed association, linkage disequilibrium, and haplotype analysis among the 3 SNPs in 190 ASD cases and 225 age-, sex-, and ethnicity-matched healthy controls. Genotype and allele frequencies among the 3 SNPs showed statistically significant differences between the cases and controls. Our study found that individuals carrying the allele T of rs870142, the allele A of rs16835979, and the allele T of rs6824295 had a respective 50.1% (odds ratio (OR = 1.501, 95% confidence interval (CI = 1.122-2.009, PFDR-BH = 0.018, 48.5% (OR = 1.485, 95%CI = 1.109-1.987, PFDR-BH = 0.012, and 38.6% (OR = 1.386, 95%CI = 1.042-1.844, PFDR-BH = 0.025 increased risk to develop ASD than wild-type allele carriers in our study cohort. In the haplotype analysis, we identified a disease-risk haplotype (TAT (OR = 1.540, 95%CI = 1.030-2.380, PFDR-BH = 0.016. Our meta-analysis also showed that the investigated SNP was associated with ASD risk (combined OR (95%CI = 1.35 (1.24-1.46, P < 0.00001. Our study provides compelling evidence to motivate better understanding of the etiology

  12. Genome-wide association and functional studies identify a role for IGFBP3 in hip osteoarthritis

    NARCIS (Netherlands)

    D.S. Evans (Daniel); F. Cailotto (Frederic); N. Parimi (Neeta); A.M. Valdes (Ana Maria); M.C. Castaño Betancourt (Martha); Y. Liu (Youfang); R.C. Kaplan (Robert); M. Bidlingmaier (Martin); R.S. Vasan (Ramachandran Srini); A. Teumer (Alexander); G.J. Tranah (Gregory); M.C. Nevitt (Michael); S. Cummings; E.S. Orwoll (Eric); E. Barrett-Connor (Elizabeth); J.B. Renner (Jordan); J.M. Jordan (Joanne); M. Doherty (Michael); S. Doherty (Sally); A.G. Uitterlinden (André); J.B.J. van Meurs (Joyce); T.D. Spector (Timothy); R.J. Lories (Rik); N.E. Lane

    2014-01-01

    textabstractObjectives To identify genetic associations with hip osteoarthritis (HOA), we performed a meta-analysis of genome-wide association studies (GWAS) of HOA. Methods The GWAS meta-analysis included approximately 2.5 million imputed HapMap single nucleotide polymorphisms (SNPs). HOA cases and

  13. Genome-wide association study identifies multiple loci associated with bladder cancer risk

    Science.gov (United States)

    Figueroa, Jonine D.; Ye, Yuanqing; Siddiq, Afshan; Garcia-Closas, Montserrat; Chatterjee, Nilanjan; Prokunina-Olsson, Ludmila; Cortessis, Victoria K.; Kooperberg, Charles; Cussenot, Olivier; Benhamou, Simone; Prescott, Jennifer; Porru, Stefano; Dinney, Colin P.; Malats, Núria; Baris, Dalsu; Purdue, Mark; Jacobs, Eric J.; Albanes, Demetrius; Wang, Zhaoming; Deng, Xiang; Chung, Charles C.; Tang, Wei; Bas Bueno-de-Mesquita, H.; Trichopoulos, Dimitrios; Ljungberg, Börje; Clavel-Chapelon, Françoise; Weiderpass, Elisabete; Krogh, Vittorio; Dorronsoro, Miren; Travis, Ruth; Tjønneland, Anne; Brenan, Paul; Chang-Claude, Jenny; Riboli, Elio; Conti, David; Gago-Dominguez, Manuela; Stern, Mariana C.; Pike, Malcolm C.; Van Den Berg, David; Yuan, Jian-Min; Hohensee, Chancellor; Rodabough, Rebecca; Cancel-Tassin, Geraldine; Roupret, Morgan; Comperat, Eva; Chen, Constance; De Vivo, Immaculata; Giovannucci, Edward; Hunter, David J.; Kraft, Peter; Lindstrom, Sara; Carta, Angela; Pavanello, Sofia; Arici, Cecilia; Mastrangelo, Giuseppe; Kamat, Ashish M.; Lerner, Seth P.; Barton Grossman, H.; Lin, Jie; Gu, Jian; Pu, Xia; Hutchinson, Amy; Burdette, Laurie; Wheeler, William; Kogevinas, Manolis; Tardón, Adonina; Serra, Consol; Carrato, Alfredo; García-Closas, Reina; Lloreta, Josep; Schwenn, Molly; Karagas, Margaret R.; Johnson, Alison; Schned, Alan; Armenti, Karla R.; Hosain, G.M.; Andriole, Gerald; Grubb, Robert; Black, Amanda; Ryan Diver, W.; Gapstur, Susan M.; Weinstein, Stephanie J.; Virtamo, Jarmo; Haiman, Chris A.; Landi, Maria T.; Caporaso, Neil; Fraumeni, Joseph F.; Vineis, Paolo; Wu, Xifeng; Silverman, Debra T.; Chanock, Stephen; Rothman, Nathaniel

    2014-01-01

    Candidate gene and genome-wide association studies (GWAS) have identified 11 independent susceptibility loci associated with bladder cancer risk. To discover additional risk variants, we conducted a new GWAS of 2422 bladder cancer cases and 5751 controls, followed by a meta-analysis with two independently published bladder cancer GWAS, resulting in a combined analysis of 6911 cases and 11 814 controls of European descent. TaqMan genotyping of 13 promising single nucleotide polymorphisms with P < 1 × 10−5 was pursued in a follow-up set of 801 cases and 1307 controls. Two new loci achieved genome-wide statistical significance: rs10936599 on 3q26.2 (P = 4.53 × 10−9) and rs907611 on 11p15.5 (P = 4.11 × 10−8). Two notable loci were also identified that approached genome-wide statistical significance: rs6104690 on 20p12.2 (P = 7.13 × 10−7) and rs4510656 on 6p22.3 (P = 6.98 × 10−7); these require further studies for confirmation. In conclusion, our study has identified new susceptibility alleles for bladder cancer risk that require fine-mapping and laboratory investigation, which could further understanding into the biological underpinnings of bladder carcinogenesis. PMID:24163127

  14. A meta-analysis of genome-wide association scans identifies IL18RAP, PTPN2, TAGAP, and PUS10 as shared risk loci for Crohn's disease and celiac disease.

    Directory of Open Access Journals (Sweden)

    Eleonora A M Festen

    Full Text Available Crohn's disease (CD and celiac disease (CelD are chronic intestinal inflammatory diseases, involving genetic and environmental factors in their pathogenesis. The two diseases can co-occur within families, and studies suggest that CelD patients have a higher risk to develop CD than the general population. These observations suggest that CD and CelD may share common genetic risk loci. Two such shared loci, IL18RAP and PTPN2, have already been identified independently in these two diseases. The aim of our study was to explicitly identify shared risk loci for these diseases by combining results from genome-wide association study (GWAS datasets of CD and CelD. Specifically, GWAS results from CelD (768 cases, 1,422 controls and CD (3,230 cases, 4,829 controls were combined in a meta-analysis. Nine independent regions had nominal association p-value <1.0 x 10⁻⁵ in this meta-analysis and showed evidence of association to the individual diseases in the original scans (p-value < 1 x 10⁻² in CelD and < 1 x 10⁻³ in CD. These include the two previously reported shared loci, IL18RAP and PTPN2, with p-values of 3.37 x 10⁻⁸ and 6.39 x 10⁻⁹, respectively, in the meta-analysis. The other seven had not been reported as shared loci and thus were tested in additional CelD (3,149 cases and 4,714 controls and CD (1,835 cases and 1,669 controls cohorts. Two of these loci, TAGAP and PUS10, showed significant evidence of replication (Bonferroni corrected p-values <0.0071 in the combined CelD and CD replication cohorts and were firmly established as shared risk loci of genome-wide significance, with overall combined p-values of 1.55 x 10⁻¹⁰ and 1.38 x 10⁻¹¹ respectively. Through a meta-analysis of GWAS data from CD and CelD, we have identified four shared risk loci: PTPN2, IL18RAP, TAGAP, and PUS10. The combined analysis of the two datasets provided the power, lacking in the individual GWAS for single diseases, to detect shared loci with a

  15. Identifying endosymbiont bacteria associated with free-living amoebae.

    Science.gov (United States)

    Goñi, Pilar; Fernández, María Teresa; Rubio, Encarnación

    2014-02-01

    The association between free-living amoebae and pathogenic bacteria is an issue that has gained great importance due to the environmental and health consequences that it implies. In this paper, we analyse the techniques to follow an epidemiological study to identify associations between genera, species, genotypes and subgenotypes of amoebae with pathogenic bacteria, analysing their evolution and considering their usefulness. In this sense, we highlight the combination of microscopic and molecular techniques as the most appropriate way to obtain fully reliable results as well as the need to achieve the standardization of these techniques to allow the comparison of both environmental and clinical results.

  16. Genome-wide association study identifies five new schizophrenia loci

    DEFF Research Database (Denmark)

    Ripke, Stephan; Sanders, Alan R; Kendler, Kenneth S;

    2011-01-01

    We examined the role of common genetic variation in schizophrenia in a genome-wide association study of substantial size: a stage 1 discovery sample of 21,856 individuals of European ancestry and a stage 2 replication sample of 29,839 independent subjects. The combined stage 1 and 2 analysis yiel...

  17. Genome-wide association study identifies five new schizophrenia loci

    NARCIS (Netherlands)

    Ripke, Stephan; Sanders, Alan R.; Kendler, Kenneth S.; Levinson, Douglas F.; Sklar, Pamela; Holmans, Peter A.; Lin, Dan-Yu; Duan, Jubao; Ophoff, Roel A.; Andreassen, Ole A.; Scolnick, Edward; Cichon, Sven; Clair, David St.; Corvin, Aiden; Gurling, Hugh; Werge, Thomas; Rujescu, Dan; Blackwood, Douglas H. R.; Pato, Carlos N.; Malhotra, Anil K.; Purcell, Shaun; Dudbridge, Frank; Neale, Benjamin M.; Rossin, Lizzy; Visscher, Peter M.; Posthuma, Danielle; Ruderfer, Douglas M.; Fanous, Ayman; Stefansson, Hreinn; Steinberg, Stacy; Mowry, Bryan J.; Golimbet, Vera; De Hert, Marc; Jonsson, Erik G.; Bitter, Istvan; Pietilainen, Olli P. H.; Collier, David A.; Tosato, Sarah; Agartz, Ingrid; Albus, Margot; Alexander, Madeline; Amdur, Richard L.; Amin, Farooq; Bass, Nicholas; Bergen, Sarah E.; Black, Donald W.; Borglum, Anders D.; Brown, Matthew A.; Bruggeman, Richard; Buccola, Nancy G.; Byerley, William F.; Cahn, Wiepke; Cantor, Rita M.; Carr, Vaughan J.; Catts, Stanley V.; Choudhury, Khalid; Cloninger, C. Robert; Cormican, Paul; Craddock, Nicholas; Danoy, Patrick A.; Datta, Susmita; De Haan, Lieuwe; Demontis, Ditte; Dikeos, Dimitris; Djurovic, Srdjan; Donnelly, Peter; Donohoe, Gary; Duong, Linh; Dwyer, Sarah; Fink-Jensen, Anders; Freedman, Robert; Freimer, Nelson B.; Friedl, Marion; Georgieva, Lyudmila; Giegling, Ina; Gill, Michael; Glenthoj, Birte; Godard, Stephanie; Hamshere, Marian; Hansen, Mark; Hansen, Thomas; Hartmann, Annette M.; Henskens, Frans A.; Hougaard, David M.; Hultman, Christina M.; Ingason, Andres; Jablensky, Assen V.; Jakobsen, Klaus D.; Jay, Maurice; Juergens, Gesche; Kahn, Renes; Keller, Matthew C.; Kenis, Gunter; Kenny, Elaine; Kim, Yunjung; Kirov, George K.; Konnerth, Heike; Konte, Bettina; Krabbendam, Lydia; Krasucki, Robert; Lasseter, Virginia K.; Laurent, Claudine; Lawrence, Jacob; Lencz, Todd; Lerer, F. Bernard; Liang, Kung-Yee; Lichtenstein, Paul; Lieberman, Jeffrey A.; Linszen, Don H.; Lonnqvist, Jouko; Loughland, Carmel M.; Maclean, Alan W.; Maher, Brion S.; Maier, Wolfgang; Mallet, Jacques; Malloy, Pat; Mattheisen, Manuel; Mattingsdal, Morten; McGhee, Kevin A.; McGrath, John J.; McIntosh, Andrew; McLean, Duncan E.; McQuillin, Andrew; Melle, Ingrid; Michie, Patricia T.; Milanova, Vihra; Morris, Derek W.; Mors, Ole; Mortensen, Preben B.; Moskvina, Valentina; Muglia, Pierandrea; Myin-Germeys, Inez; Nertney, Deborah A.; Nestadt, Gerald; Nielsen, Jimmi; Nikolov, Ivan; Nordentoft, Merete; Norton, Nadine; Noethen, Markus M.; O'Dushlaine, Colm T.; Olincy, Ann; Olsen, Line; O'Neill, F. Anthony; Orntoft, Torben F.; Owen, Michael J.; Pantelis, Christos; Papadimitriou, George; Pato, Michele T.; Peltonen, Leena; Petursson, Hannes; Pickard, Ben; Pimm, Jonathan; Pulver, Ann E.; Puri, Vinay; Quested, Digby; Quinn, Emma M.; Rasmussen, Henrik B.; Rethelyi, Janos M.; Ribble, Robert; Rietschel, Marcella; Riley, Brien P.; Ruggeri, Mirella; Schall, Ulrich; Schulze, Thomas G.; Schwab, Sibylle G.; Scott, Rodney J.; Shi, Jianxin; Sigurdsson, Engilbert; Silverman, Jeremy M.; Spencer, Chris C. A.; Stefansson, Kari; Strange, Amy; Strengman, Eric; Stroup, T. Scott; Suvisaari, Jaana; Terenius, Lars; Thirumalai, Srinivasa; Thygesen, Johan H.; Timm, Sally; Toncheva, Draga; van den Oord, Edwin; van Os, Jim; van Winkel, Ruud; Veldink, Jan; Walsh, Dermot; Wang, August G.; Wiersma, Durk; Wildenauer, Dieter B.; Williams, Hywel J.; Williams, Nigel M.; Wormley, Brandon; Zammit, Stan; Sullivan, Patrick F.; O'Donovan, Michael C.; Daly, Mark J.; Gejman, Pablo V.

    2011-01-01

    We examined the role of common genetic variation in schizophrenia in a genome-wide association study of substantial size: a stage 1 discovery sample of 21,856 individuals of European ancestry and a stage 2 replication sample of 29,839 independent subjects. The combined stage 1 and 2 analysis yielded

  18. Covariance Association Test (CVAT) Identifies Genetic Markers Associated with Schizophrenia in Functionally Associated Biological Processes

    DEFF Research Database (Denmark)

    Rohde, Palle Duun; Demontis, Ditte; Castro Dias Cuyabano, Beatriz;

    2016-01-01

    Schizophrenia is a psychiatric disorder with large personal and social costs, and understanding the genetic etiology is important. Such knowledge can be obtained by testing the association between a disease phenotype and individual genetic markers; however, such single-marker methods have limited...... power to detect genetic markers with small effects. Instead, aggregating genetic markers based on biological information might increase the power to identify sets of genetic markers of etiological significance. Several set test methods have been proposed: Here we propose a new set test derived from...... genomic best linear unbiased prediction (GBLUP), the covariance association test (CVAT). We compared the performance of CVAT to other commonly used set tests. The comparison was conducted using a simulated study population having the same genetic parameters as for schizophrenia. We found that CVAT...

  19. Genome-wide association study identifies genetic loci associated with iron deficiency.

    Directory of Open Access Journals (Sweden)

    Christine E McLaren

    Full Text Available The existence of multiple inherited disorders of iron metabolism in man, rodents and other vertebrates suggests genetic contributions to iron deficiency. To identify new genomic locations associated with iron deficiency, a genome-wide association study (GWAS was performed using DNA collected from white men aged≥25 y and women≥50 y in the Hemochromatosis and Iron Overload Screening (HEIRS Study with serum ferritin (SF≤12 µg/L (cases and iron replete controls (SF>100 µg/L in men, SF>50 µg/L in women. Regression analysis was used to examine the association between case-control status (336 cases, 343 controls and quantitative serum iron measures and 331,060 single nucleotide polymorphism (SNP genotypes, with replication analyses performed in a sample of 71 cases and 161 controls from a population of white male and female veterans screened at a US Veterans Affairs (VA medical center. Five SNPs identified in the GWAS met genome-wide statistical significance for association with at least one iron measure, rs2698530 on chr. 2p14; rs3811647 on chr. 3q22, a known SNP in the transferrin (TF gene region; rs1800562 on chr. 6p22, the C282Y mutation in the HFE gene; rs7787204 on chr. 7p21; and rs987710 on chr. 22q11 (GWAS observed P<1.51×10(-7 for all. An association between total iron binding capacity and SNP rs3811647 in the TF gene (GWAS observed P=7.0×10(-9, corrected P=0.012 was replicated within the VA samples (observed P=0.012. Associations with the C282Y mutation in the HFE gene also were replicated. The joint analysis of the HEIRS and VA samples revealed strong associations between rs2698530 on chr. 2p14 and iron status outcomes. These results confirm a previously-described TF polymorphism and implicate one potential new locus as a target for gene identification.

  20. Identifying metabolic enzymes with multiple types of association evidence

    Directory of Open Access Journals (Sweden)

    Vitkup Dennis

    2006-03-01

    Full Text Available Abstract Background Existing large-scale metabolic models of sequenced organisms commonly include enzymatic functions which can not be attributed to any gene in that organism. Existing computational strategies for identifying such missing genes rely primarily on sequence homology to known enzyme-encoding genes. Results We present a novel method for identifying genes encoding for a specific metabolic function based on a local structure of metabolic network and multiple types of functional association evidence, including clustering of genes on the chromosome, similarity of phylogenetic profiles, gene expression, protein fusion events and others. Using E. coli and S. cerevisiae metabolic networks, we illustrate predictive ability of each individual type of association evidence and show that significantly better predictions can be obtained based on the combination of all data. In this way our method is able to predict 60% of enzyme-encoding genes of E. coli metabolism within the top 10 (out of 3551 candidates for their enzymatic function, and as a top candidate within 43% of the cases. Conclusion We illustrate that a combination of genome context and other functional association evidence is effective in predicting genes encoding metabolic enzymes. Our approach does not rely on direct sequence homology to known enzyme-encoding genes, and can be used in conjunction with traditional homology-based metabolic reconstruction methods. The method can also be used to target orphan metabolic activities.

  1. Large-scale genotyping identifies 41 new loci associated with breast cancer risk

    DEFF Research Database (Denmark)

    Michailidou, Kyriaki; Hall, Per; Gonzalez-Neira, Anna

    2013-01-01

    Breast cancer is the most common cancer among women. Common variants at 27 loci have been identified as associated with susceptibility to breast cancer, and these account for ∼9% of the familial risk of the disease. We report here a meta-analysis of 9 genome-wide association studies, including 10...

  2. AN ENHANCEMENT OF ASSOCIATION CLASSIFICATION ALGORITHM FOR IDENTIFYING PHISHING WEBSITES

    Directory of Open Access Journals (Sweden)

    G.Parthasarathy

    2016-08-01

    Full Text Available Phishing is a fraudulent activity that involves attacker creating a model of an existing web page in order to get more important information similar to credit card details, passwords etc., of the users. This paper is an enhancement of the existing association classification algorithm to detect the phishing websites. We can enhance the accuracy to a greater extent by applying the association rules into classification. In addition, we can also obtain some valuable information and rules which cannot be captured by using any other classification approaches. However the rule generation procedure is very time consuming while encountering large data set. The proposed algorithm makes use of Apriori algorithm for identifying frequent itemsets and hence derives a decision tree based on the features of URL.

  3. Identifiable Data Files - Medicare Provider Analysis and ...

    Data.gov (United States)

    U.S. Department of Health & Human Services — The Medicare Provider Analysis and Review (MEDPAR) File contains data from claims for services provided to beneficiaries admitted to Medicare certified inpatient...

  4. Genome-Wide Association Study Identifies Novel Loci Associated With Diisocyanate-Induced Occupational Asthma

    Science.gov (United States)

    Yucesoy, Berran; Kaufman, Kenneth M.; Lummus, Zana L.; Weirauch, Matthew T.; Zhang, Ge; Cartier, André; Boulet, Louis-Philippe; Sastre, Joaquin; Quirce, Santiago; Tarlo, Susan M.; Cruz, Maria-Jesus; Munoz, Xavier; Harley, John B.; Bernstein, David I.

    2015-01-01

    Diisocyanates, reactive chemicals used to produce polyurethane products, are the most common causes of occupational asthma. The aim of this study is to identify susceptibility gene variants that could contribute to the pathogenesis of diisocyanate asthma (DA) using a Genome-Wide Association Study (GWAS) approach. Genome-wide single nucleotide polymorphism (SNP) genotyping was performed in 74 diisocyanate-exposed workers with DA and 824 healthy controls using Omni-2.5 and Omni-5 SNP microarrays. We identified 11 SNPs that exceeded genome-wide significance; the strongest association was for the rs12913832 SNP located on chromosome 15, which has been mapped to the HERC2 gene (p = 6.94 × 10−14). Strong associations were also found for SNPs near the ODZ3 and CDH17 genes on chromosomes 4 and 8 (rs908084, p = 8.59 × 10−9 and rs2514805, p = 1.22 × 10−8, respectively). We also prioritized 38 SNPs with suggestive genome-wide significance (p < 1 × 10−6). Among them, 17 SNPs map to the PITPNC1, ACMSD, ZBTB16, ODZ3, and CDH17 gene loci. Functional genomics data indicate that 2 of the suggestive SNPs (rs2446823 and rs2446824) are located within putative binding sites for the CCAAT/Enhancer Binding Protein (CEBP) and Hepatocyte Nuclear Factor 4, Alpha transcription factors (TFs), respectively. This study identified SNPs mapping to the HERC2, CDH17, and ODZ3 genes as potential susceptibility loci for DA. Pathway analysis indicated that these genes are associated with antigen processing and presentation, and other immune pathways. Overlap of 2 suggestive SNPs with likely TF binding sites suggests possible roles in disruption of gene regulation. These results provide new insights into the genetic architecture of DA and serve as a basis for future functional and mechanistic studies. PMID:25918132

  5. Genome-wide association study identifies five new schizophrenia loci.

    LENUS (Irish Health Repository)

    Ripke, Stephan

    2011-10-01

    We examined the role of common genetic variation in schizophrenia in a genome-wide association study of substantial size: a stage 1 discovery sample of 21,856 individuals of European ancestry and a stage 2 replication sample of 29,839 independent subjects. The combined stage 1 and 2 analysis yielded genome-wide significant associations with schizophrenia for seven loci, five of which are new (1p21.3, 2q32.3, 8p23.2, 8q21.3 and 10q24.32-q24.33) and two of which have been previously implicated (6p21.32-p22.1 and 18q21.2). The strongest new finding (P = 1.6 × 10(-11)) was with rs1625579 within an intron of a putative primary transcript for MIR137 (microRNA 137), a known regulator of neuronal development. Four other schizophrenia loci achieving genome-wide significance contain predicted targets of MIR137, suggesting MIR137-mediated dysregulation as a previously unknown etiologic mechanism in schizophrenia. In a joint analysis with a bipolar disorder sample (16,374 affected individuals and 14,044 controls), three loci reached genome-wide significance: CACNA1C (rs4765905, P = 7.0 × 10(-9)), ANK3 (rs10994359, P = 2.5 × 10(-8)) and the ITIH3-ITIH4 region (rs2239547, P = 7.8 × 10(-9)).

  6. Genome-wide meta-analysis of homocysteine and methionine metabolism identifies five one carbon metabolism loci and a novel association of ALDH1L1 with ischemic stroke.

    Directory of Open Access Journals (Sweden)

    Stephen R Williams

    2014-03-01

    Full Text Available Circulating homocysteine levels (tHcy, a product of the folate one carbon metabolism pathway (FOCM through the demethylation of methionine, are heritable and are associated with an increased risk of common diseases such as stroke, cardiovascular disease (CVD, cancer and dementia. The FOCM is the sole source of de novo methyl group synthesis, impacting many biological and epigenetic pathways. However, the genetic determinants of elevated tHcy (hyperhomocysteinemia, dysregulation of methionine metabolism and the underlying biological processes remain unclear. We conducted independent genome-wide association studies and a meta-analysis of methionine metabolism, characterized by post-methionine load test tHcy, in 2,710 participants from the Framingham Heart Study (FHS and 2,100 participants from the Vitamin Intervention for Stroke Prevention (VISP clinical trial, and then examined the association of the identified loci with incident stroke in FHS. Five genes in the FOCM pathway (GNMT [p = 1.60 × 10(-63], CBS [p = 3.15 × 10(-26], CPS1 [p = 9.10 × 10(-13], ALDH1L1 [p = 7.3 × 10(-13] and PSPH [p = 1.17 × 10(-16] were strongly associated with the difference between pre- and post-methionine load test tHcy levels (ΔPOST. Of these, one variant in the ALDH1L1 locus, rs2364368, was associated with incident ischemic stroke. Promoter analyses reveal genetic and epigenetic differences that may explain a direct effect on GNMT transcription and a downstream affect on methionine metabolism. Additionally, a genetic-score consisting of the five significant loci explains 13% of the variance of ΔPOST in FHS and 6% of the variance in VISP. Association between variants in FOCM genes with ΔPOST suggest novel mechanisms that lead to differences in methionine metabolism, and possibly the epigenome, impacting disease risk. These data emphasize the importance of a concerted effort to understand regulators of one carbon metabolism as potential therapeutic targets.

  7. Identifying MMORPG Bots: A Traffic Analysis Approach

    Directory of Open Access Journals (Sweden)

    Wen-Chin Chen

    2008-11-01

    Full Text Available Massively multiplayer online role playing games (MMORPGs have become extremely popular among network gamers. Despite their success, one of MMORPG's greatest challenges is the increasing use of game bots, that is, autoplaying game clients. The use of game bots is considered unsportsmanlike and is therefore forbidden. To keep games in order, game police, played by actual human players, often patrol game zones and question suspicious players. This practice, however, is labor-intensive and ineffective. To address this problem, we analyze the traffic generated by human players versus game bots and propose general solutions to identify game bots. Taking Ragnarok Online as our subject, we study the traffic generated by human players and game bots. We find that their traffic is distinguishable by 1 the regularity in the release time of client commands, 2 the trend and magnitude of traffic burstiness in multiple time scales, and 3 the sensitivity to different network conditions. Based on these findings, we propose four strategies and two ensemble schemes to identify bots. Finally, we discuss the robustness of the proposed methods against countermeasures of bot developers, and consider a number of possible ways to manage the increasingly serious bot problem.

  8. Identifying MMORPG Bots: A Traffic Analysis Approach

    Science.gov (United States)

    Chen, Kuan-Ta; Jiang, Jhih-Wei; Huang, Polly; Chu, Hao-Hua; Lei, Chin-Laung; Chen, Wen-Chin

    2008-12-01

    Massively multiplayer online role playing games (MMORPGs) have become extremely popular among network gamers. Despite their success, one of MMORPG's greatest challenges is the increasing use of game bots, that is, autoplaying game clients. The use of game bots is considered unsportsmanlike and is therefore forbidden. To keep games in order, game police, played by actual human players, often patrol game zones and question suspicious players. This practice, however, is labor-intensive and ineffective. To address this problem, we analyze the traffic generated by human players versus game bots and propose general solutions to identify game bots. Taking Ragnarok Online as our subject, we study the traffic generated by human players and game bots. We find that their traffic is distinguishable by 1) the regularity in the release time of client commands, 2) the trend and magnitude of traffic burstiness in multiple time scales, and 3) the sensitivity to different network conditions. Based on these findings, we propose four strategies and two ensemble schemes to identify bots. Finally, we discuss the robustness of the proposed methods against countermeasures of bot developers, and consider a number of possible ways to manage the increasingly serious bot problem.

  9. Identifying nonlinear biomechanical models by multicriteria analysis

    Science.gov (United States)

    Srdjevic, Zorica; Cveticanin, Livija

    2012-02-01

    In this study, the methodology developed by Srdjevic and Cveticanin (International Journal of Industrial Ergonomics 34 (2004) 307-318) for the nonbiased (objective) parameter identification of the linear biomechanical model exposed to vertical vibrations is extended to the identification of n-degree of freedom (DOF) nonlinear biomechanical models. The dynamic performance of the n-DOF nonlinear model is described in terms of response functions in the frequency domain, such as the driving-point mechanical impedance and seat-to-head transmissibility function. For randomly generated parameters of the model, nonlinear equations of motion are solved using the Runge-Kutta method. The appropriate data transformation from the time-to-frequency domain is performed by a discrete Fourier transformation. Squared deviations of the response functions from the target values are used as the model performance evaluation criteria, thus shifting the problem into the multicriteria framework. The objective weights of criteria are obtained by applying the Shannon entropy concept. The suggested methodology is programmed in Pascal and tested on a 4-DOF nonlinear lumped parameter biomechanical model. The identification process over the 2000 generated sets of parameters lasts less than 20 s. The model response obtained with the imbedded identified parameters correlates well with the target values, therefore, justifying the use of the underlying concept and the mathematical instruments and numerical tools applied. It should be noted that the identified nonlinear model has an improved accuracy of the biomechanical response compared to the accuracy of a linear model.

  10. Genome Wide Association Study Identifies New Loci Associated with Undesired Coat Color Phenotypes in Saanen Goats.

    Directory of Open Access Journals (Sweden)

    Pauline Marie Martin

    Full Text Available This paper reports a quantitative genetics and genomic analysis of undesirable coat color patterns in goats. Two undesirable coat colors have routinely been recorded for the past 15 years in French Saanen goats. One fifth of Saanen females have been phenotyped "pink" (8.0% or "pink neck" (11.5% and consequently have not been included in the breeding program as elite animals. Heritability of the binary "pink" and "pink neck" phenotype, estimated from 103,443 females was 0.26 for "pink" and 0.21 for "pink neck". Genome wide association studies (using haplotypes or single SNPs were implemented using a daughter design of 810 Saanen goats sired by 9 Artificial Insemination bucks genotyped with the goatSNP50 chip. A highly significant signal (-log10pvalue = 10.2 was associated with the "pink neck" phenotype on chromosome 11, suggesting the presence of a major gene. Highly significant signals for the "pink" phenotype were found on chromosomes 5 and 13 (-log10p values of 7.2 and, 7.7 respectively. The most significant SNP on chromosome 13 was in the ASIP gene region, well known for its association with coat color phenotypes. Nine significant signals were also found for both traits. The highest signal for each trait was detected by both single SNP and haplotype approaches, whereas the smaller signals were not consistently detected by the two methods. Altogether these results demonstrated a strong genetic control of the "pink" and "pink neck" phenotypes in French Saanen goats suggesting that SNP information could be used to identify and remove undesired colored animals from the breeding program.

  11. Imputation and subset-based association analysis across different cancer types identifies multiple independent risk loci in the TERT-CLPTM1L region on chromosome 5p15.33

    Science.gov (United States)

    Wang, Zhaoming; Zhu, Bin; Zhang, Mingfeng; Parikh, Hemang; Jia, Jinping; Chung, Charles C.; Sampson, Joshua N.; Hoskins, Jason W.; Hutchinson, Amy; Burdette, Laurie; Ibrahim, Abdisamad; Hautman, Christopher; Raj, Preethi S.; Abnet, Christian C.; Adjei, Andrew A.; Ahlbom, Anders; Albanes, Demetrius; Allen, Naomi E.; Ambrosone, Christine B.; Aldrich, Melinda; Amiano, Pilar; Amos, Christopher; Andersson, Ulrika; Andriole, Gerald; Andrulis, Irene L.; Arici, Cecilia; Arslan, Alan A.; Austin, Melissa A.; Baris, Dalsu; Barkauskas, Donald A.; Bassig, Bryan A.; Beane Freeman, Laura E.; Berg, Christine D.; Berndt, Sonja I.; Bertazzi, Pier Alberto; Biritwum, Richard B.; Black, Amanda; Blot, William; Boeing, Heiner; Boffetta, Paolo; Bolton, Kelly; Boutron-Ruault, Marie-Christine; Bracci, Paige M.; Brennan, Paul; Brinton, Louise A.; Brotzman, Michelle; Bueno-de-Mesquita, H. Bas; Buring, Julie E.; Butler, Mary Ann; Cai, Qiuyin; Cancel-Tassin, Geraldine; Canzian, Federico; Cao, Guangwen; Caporaso, Neil E.; Carrato, Alfredo; Carreon, Tania; Carta, Angela; Chang, Gee-Chen; Chang, I-Shou; Chang-Claude, Jenny; Che, Xu; Chen, Chien-Jen; Chen, Chih-Yi; Chen, Chung-Hsing; Chen, Constance; Chen, Kuan-Yu; Chen, Yuh-Min; Chokkalingam, Anand P.; Chu, Lisa W.; Clavel-Chapelon, Francoise; Colditz, Graham A.; Colt, Joanne S.; Conti, David; Cook, Michael B.; Cortessis, Victoria K.; Crawford, E. David; Cussenot, Olivier; Davis, Faith G.; De Vivo, Immaculata; Deng, Xiang; Ding, Ti; Dinney, Colin P.; Di Stefano, Anna Luisa; Diver, W. Ryan; Duell, Eric J.; Elena, Joanne W.; Fan, Jin-Hu; Feigelson, Heather Spencer; Feychting, Maria; Figueroa, Jonine D.; Flanagan, Adrienne M.; Fraumeni, Joseph F.; Freedman, Neal D.; Fridley, Brooke L.; Fuchs, Charles S.; Gago-Dominguez, Manuela; Gallinger, Steven; Gao, Yu-Tang; Gapstur, Susan M.; Garcia-Closas, Montserrat; Garcia-Closas, Reina; Gastier-Foster, Julie M.; Gaziano, J. Michael; Gerhard, Daniela S.; Giffen, Carol A.; Giles, Graham G.; Gillanders, Elizabeth M.; Giovannucci, Edward L.; Goggins, Michael; Gokgoz, Nalan; Goldstein, Alisa M.; Gonzalez, Carlos; Gorlick, Richard; Greene, Mark H.; Gross, Myron; Grossman, H. Barton; Grubb, Robert; Gu, Jian; Guan, Peng; Haiman, Christopher A.; Hallmans, Goran; Hankinson, Susan E.; Harris, Curtis C.; Hartge, Patricia; Hattinger, Claudia; Hayes, Richard B.; He, Qincheng; Helman, Lee; Henderson, Brian E.; Henriksson, Roger; Hoffman-Bolton, Judith; Hohensee, Chancellor; Holly, Elizabeth A.; Hong, Yun-Chul; Hoover, Robert N.; Hosgood, H. Dean; Hsiao, Chin-Fu; Hsing, Ann W.; Hsiung, Chao Agnes; Hu, Nan; Hu, Wei; Hu, Zhibin; Huang, Ming-Shyan; Hunter, David J.; Inskip, Peter D.; Ito, Hidemi; Jacobs, Eric J.; Jacobs, Kevin B.; Jenab, Mazda; Ji, Bu-Tian; Johansen, Christoffer; Johansson, Mattias; Johnson, Alison; Kaaks, Rudolf; Kamat, Ashish M.; Kamineni, Aruna; Karagas, Margaret; Khanna, Chand; Khaw, Kay-Tee; Kim, Christopher; Kim, In-Sam; Kim, Jin Hee; Kim, Yeul Hong; Kim, Young-Chul; Kim, Young Tae; Kang, Chang Hyun; Jung, Yoo Jin; Kitahara, Cari M.; Klein, Alison P.; Klein, Robert; Kogevinas, Manolis; Koh, Woon-Puay; Kohno, Takashi; Kolonel, Laurence N.; Kooperberg, Charles; Kratz, Christian P.; Krogh, Vittorio; Kunitoh, Hideo; Kurtz, Robert C.; Kurucu, Nilgun; Lan, Qing; Lathrop, Mark; Lau, Ching C.; Lecanda, Fernando; Lee, Kyoung-Mu; Lee, Maxwell P.; Le Marchand, Loic; Lerner, Seth P.; Li, Donghui; Liao, Linda M.; Lim, Wei-Yen; Lin, Dongxin; Lin, Jie; Lindstrom, Sara; Linet, Martha S.; Lissowska, Jolanta; Liu, Jianjun; Ljungberg, Börje; Lloreta, Josep; Lu, Daru; Ma, Jing; Malats, Nuria; Mannisto, Satu; Marina, Neyssa; Mastrangelo, Giuseppe; Matsuo, Keitaro; McGlynn, Katherine A.; McKean-Cowdin, Roberta; McNeill, Lorna H.; McWilliams, Robert R.; Melin, Beatrice S.; Meltzer, Paul S.; Mensah, James E.; Miao, Xiaoping; Michaud, Dominique S.; Mondul, Alison M.; Moore, Lee E.; Muir, Kenneth; Niwa, Shelley; Olson, Sara H.; Orr, Nick; Panico, Salvatore; Park, Jae Yong; Patel, Alpa V.; Patino-Garcia, Ana; Pavanello, Sofia; Peeters, Petra H. M.; Peplonska, Beata; Peters, Ulrike; Petersen, Gloria M.; Picci, Piero; Pike, Malcolm C.; Porru, Stefano; Prescott, Jennifer; Pu, Xia; Purdue, Mark P.; Qiao, You-Lin; Rajaraman, Preetha; Riboli, Elio; Risch, Harvey A.; Rodabough, Rebecca J.; Rothman, Nathaniel; Ruder, Avima M.; Ryu, Jeong-Seon; Sanson, Marc; Schned, Alan; Schumacher, Fredrick R.; Schwartz, Ann G.; Schwartz, Kendra L.; Schwenn, Molly; Scotlandi, Katia; Seow, Adeline; Serra, Consol; Serra, Massimo; Sesso, Howard D.; Severi, Gianluca; Shen, Hongbing; Shen, Min; Shete, Sanjay; Shiraishi, Kouya; Shu, Xiao-Ou; Siddiq, Afshan; Sierrasesumaga, Luis; Sierri, Sabina; Loon Sihoe, Alan Dart; Silverman, Debra T.; Simon, Matthias; Southey, Melissa C.; Spector, Logan; Spitz, Margaret; Stampfer, Meir; Stattin, Par; Stern, Mariana C.; Stevens, Victoria L.; Stolzenberg-Solomon, Rachael Z.; Stram, Daniel O.; Strom, Sara S.; Su, Wu-Chou; Sund, Malin; Sung, Sook Whan; Swerdlow, Anthony; Tan, Wen; Tanaka, Hideo; Tang, Wei; Tang, Ze-Zhang; Tardon, Adonina; Tay, Evelyn; Taylor, Philip R.; Tettey, Yao; Thomas, David M.; Tirabosco, Roberto; Tjonneland, Anne; Tobias, Geoffrey S.; Toro, Jorge R.; Travis, Ruth C.; Trichopoulos, Dimitrios; Troisi, Rebecca; Truelove, Ann; Tsai, Ying-Huang; Tucker, Margaret A.; Tumino, Rosario; Van Den Berg, David; Van Den Eeden, Stephen K.; Vermeulen, Roel; Vineis, Paolo; Visvanathan, Kala; Vogel, Ulla; Wang, Chaoyu; Wang, Chengfeng; Wang, Junwen; Wang, Sophia S.; Weiderpass, Elisabete; Weinstein, Stephanie J.; Wentzensen, Nicolas; Wheeler, William; White, Emily; Wiencke, John K.; Wolk, Alicja; Wolpin, Brian M.; Wong, Maria Pik; Wrensch, Margaret; Wu, Chen; Wu, Tangchun; Wu, Xifeng; Wu, Yi-Long; Wunder, Jay S.; Xiang, Yong-Bing; Xu, Jun; Yang, Hannah P.; Yang, Pan-Chyr; Yatabe, Yasushi; Ye, Yuanqing; Yeboah, Edward D.; Yin, Zhihua; Ying, Chen; Yu, Chong-Jen; Yu, Kai; Yuan, Jian-Min; Zanetti, Krista A.; Zeleniuch-Jacquotte, Anne; Zheng, Wei; Zhou, Baosen; Mirabello, Lisa; Savage, Sharon A.; Kraft, Peter; Chanock, Stephen J.; Yeager, Meredith; Landi, Maria Terese; Shi, Jianxin; Chatterjee, Nilanjan; Amundadottir, Laufey T.

    2014-01-01

    Genome-wide association studies (GWAS) have mapped risk alleles for at least 10 distinct cancers to a small region of 63 000 bp on chromosome 5p15.33. This region harbors the TERT and CLPTM1L genes; the former encodes the catalytic subunit of telomerase reverse transcriptase and the latter may play a role in apoptosis. To investigate further the genetic architecture of common susceptibility alleles in this region, we conducted an agnostic subset-based meta-analysis (association analysis based on subsets) across six distinct cancers in 34 248 cases and 45 036 controls. Based on sequential conditional analysis, we identified as many as six independent risk loci marked by common single-nucleotide polymorphisms: five in the TERT gene (Region 1: rs7726159, P = 2.10 × 10−39; Region 3: rs2853677, P = 3.30 × 10−36 and PConditional = 2.36 × 10−8; Region 4: rs2736098, P = 3.87 × 10−12 and PConditional = 5.19 × 10−6, Region 5: rs13172201, P = 0.041 and PConditional = 2.04 × 10−6; and Region 6: rs10069690, P = 7.49 × 10−15 and PConditional = 5.35 × 10−7) and one in the neighboring CLPTM1L gene (Region 2: rs451360; P = 1.90 × 10−18 and PConditional = 7.06 × 10−16). Between three and five cancers mapped to each independent locus with both risk-enhancing and protective effects. Allele-specific effects on DNA methylation were seen for a subset of risk loci, indicating that methylation and subsequent effects on gene expression may contribute to the biology of risk variants on 5p15.33. Our results provide strong support for extensive pleiotropy across this region of 5p15.33, to an extent not previously observed in other cancer susceptibility loci. PMID:25027329

  12. Proteogenomic Analysis Identifies a Novel Human SHANK3 Isoform

    Directory of Open Access Journals (Sweden)

    Fahad Benthani

    2015-05-01

    Full Text Available Mutations of the SHANK3 gene have been associated with autism spectrum disorder. Individuals harboring different SHANK3 mutations display considerable heterogeneity in their cognitive impairment, likely due to the high SHANK3 transcriptional diversity. In this study, we report a novel interaction between the Mutated in colorectal cancer (MCC protein and a newly identified SHANK3 protein isoform in human colon cancer cells and mouse brain tissue. Hence, our proteogenomic analysis identifies a new human long isoform of the key synaptic protein SHANK3 that was not predicted by the human reference genome. Taken together, our findings describe a potential new role for MCC in neurons, a new human SHANK3 long isoform and, importantly, highlight the use of proteomic data towards the re-annotation of GC-rich genomic regions.

  13. Genome-wide association study identifies multiple susceptibility loci for diffuse large B cell lymphoma

    NARCIS (Netherlands)

    Cerhan, James R.; Berndt, Sonja I.; Vijai, Joseph; Ghesquières, Hervé; McKay, James; Wang, Sophia S.; Wang, Zhaoming; Yeager, Meredith; Conde, Lucia; De Bakker, Paul I W; Nieters, Alexandra; Cox, David; Burdett, Laurie; Monnereau, Alain; Flowers, Christopher R.; De Roos, Anneclaire J.; Brooks-Wilson, Angela R.; Lan, Qing; Severi, Gianluca; Melbye, Mads; Gu, Jian; Jackson, Rebecca D.; Kane, Eleanor; Teras, Lauren R.; Purdue, Mark P.; Vajdic, Claire M.; Spinelli, John J.; Giles, Graham G.; Albanes, Demetrius; Kelly, Rachel S.; Zucca, Mariagrazia; Bertrand, Kimberly A.; Zeleniuch-Jacquotte, Anne; Lawrence, Charles; Hutchinson, Amy; Zhi, Degui; Habermann, Thomas M.; Link, Brian K.; Novak, Anne J.; Dogan, Ahmet; Asmann, Yan W.; Liebow, Mark; Thompson, Carrie A.; Ansell, Stephen M.; Witzig, Thomas E.; Weiner, George J.; Veron, Amelie S.; Zelenika, Diana; Tilly, Hervé; Haioun, Corinne; Molina, Thierry Jo; Hjalgrim, Henrik; Glimelius, Bengt; Adami, Hans Olov; Bracci, Paige M.; Riby, Jacques; Smith, Martyn T.; Holly, Elizabeth A.; Cozen, Wendy; Hartge, Patricia; Morton, Lindsay M.; Severson, Richard K.; Tinker, Lesley F.; North, Kari E.; Becker, Nikolaus; Benavente, Yolanda; Boffetta, Paolo; Brennan, Paul; Foretova, Lenka; Maynadie, Marc; Staines, Anthony; Lightfoot, Tracy; Crouch, Simon; Smith, Alex; Roman, Eve; Diver, W. Ryan; Offit, Kenneth; Zelenetz, Andrew; Klein, Robert J.; Villano, Danylo J.; Zheng, Tongzhang; Zhang, Yawei; Holford, Theodore R.; Kricker, Anne; Turner, Jenny; Southey, Melissa C.; Clavel, Jacqueline; Virtamo, Jarmo; Weinstein, Stephanie; Riboli, Elio; Vineis, Paolo; Kaaks, Rudolph; Trichopoulos, Dimitrios; Vermeulen, Roel C H; Boeing, Heiner; Tjonneland, Anne; Angelucci, Emanuele; Di Lollo, Simonetta; Rais, Marco; Birmann, Brenda M.; Laden, Francine; Giovannucci, Edward; Kraft, Peter; Huang, Jinyan; Ma, Baoshan; Ye, Yuanqing; Chiu, Brian C H; Sampson, Joshua; Liang, Liming; Park, Ju Hyun; Chung, Charles C.; Weisenburger, Dennis D.; Chatterjee, Nilanjan; Fraumeni, Joseph F.; Slager, Susan L.; Wu, Xifeng; De Sanjose, Silvia; Smedby, Karin E.; Salles, Gilles; Skibola, Christine F.; Rothman, Nathaniel; Chanock, Stephen J.

    2014-01-01

    Diffuse large B cell lymphoma (DLBCL) is the most common lymphoma subtype and is clinically aggressive. To identify genetic susceptibility loci for DLBCL, we conducted a meta-analysis of 3 new genome-wide association studies (GWAS) and 1 previous scan, totaling 3,857 cases and 7,666 controls of Euro

  14. Genome-wide association study identifies novel loci associated with circulating phospho- and sphingolipid concentrations.

    Directory of Open Access Journals (Sweden)

    Ayşe Demirkan

    Full Text Available Phospho- and sphingolipids are crucial cellular and intracellular compounds. These lipids are required for active transport, a number of enzymatic processes, membrane formation, and cell signalling. Disruption of their metabolism leads to several diseases, with diverse neurological, psychiatric, and metabolic consequences. A large number of phospholipid and sphingolipid species can be detected and measured in human plasma. We conducted a meta-analysis of five European family-based genome-wide association studies (N = 4034 on plasma levels of 24 sphingomyelins (SPM, 9 ceramides (CER, 57 phosphatidylcholines (PC, 20 lysophosphatidylcholines (LPC, 27 phosphatidylethanolamines (PE, and 16 PE-based plasmalogens (PLPE, as well as their proportions in each major class. This effort yielded 25 genome-wide significant loci for phospholipids (smallest P-value = 9.88×10(-204 and 10 loci for sphingolipids (smallest P-value = 3.10×10(-57. After a correction for multiple comparisons (P-value<2.2×10(-9, we observed four novel loci significantly associated with phospholipids (PAQR9, AGPAT1, PKD2L1, PDXDC1 and two with sphingolipids (PLD2 and APOE explaining up to 3.1% of the variance. Further analysis of the top findings with respect to within class molar proportions uncovered three additional loci for phospholipids (PNLIPRP2, PCDH20, and ABDH3 suggesting their involvement in either fatty acid elongation/saturation processes or fatty acid specific turnover mechanisms. Among those, 14 loci (KCNH7, AGPAT1, PNLIPRP2, SYT9, FADS1-2-3, DLG2, APOA1, ELOVL2, CDK17, LIPC, PDXDC1, PLD2, LASS4, and APOE mapped into the glycerophospholipid and 12 loci (ILKAP, ITGA9, AGPAT1, FADS1-2-3, APOA1, PCDH20, LIPC, PDXDC1, SGPP1, APOE, LASS4, and PLD2 to the sphingolipid pathways. In large meta-analyses, associations between FADS1-2-3 and carotid intima media thickness, AGPAT1 and type 2 diabetes, and APOA1 and coronary artery disease were observed. In conclusion, our

  15. Quest to identify geochemical risk factors associated with chronic kidney disease of unknown etiology (CKDu) in an endemic region of Sri Lanka-a multimedia laboratory analysis of biological, food, and environmental samples.

    Science.gov (United States)

    Levine, Keith E; Redmon, Jennifer Hoponick; Elledge, Myles F; Wanigasuriya, Kamani P; Smith, Kristin; Munoz, Breda; Waduge, Vajira A; Periris-John, Roshini J; Sathiakumar, Nalini; Harrington, James M; Womack, Donna S; Wickremasinghe, Rajitha

    2016-10-01

    The emergence of a new form of chronic kidney disease of unknown etiology (CKDu) in Sri Lanka's North Central Province (NCP) has become a catastrophic health crisis. CKDu is characterized as slowly progressing, irreversible, and asymptomatic until late stages and, importantly, not attributed to diabetes, hypertension, or other known risk factors. It is postulated that the etiology of CKDu is multifactorial, involving genetic predisposition, nutritional and dehydration status, exposure to one or more environmental nephrotoxins, and lifestyle factors. The objective of this limited geochemical laboratory analysis was to determine the concentration of a suite of heavy metals and trace element nutrients in biological samples (human whole blood and hair) and environmental samples (drinking water, rice, soil, and freshwater fish) collected from two towns within the endemic NCP region in 2012 and 2013. This broad panel, metallomics/mineralomics approach was used to shed light on potential geochemical risk factors associated with CKDu. Based on prior literature documentation of potential nephrotoxins that may play a role in the genesis and progression of CKDu, heavy metals and fluoride were selected for analysis. The geochemical concentrations in biological and environmental media areas were quantified. Basic statistical measurements were subsequently used to compare media against applicable benchmark values, such as US soil screening levels. Cadmium, lead, and mercury were detected at concentrations exceeding US reference values in many of the biological samples, suggesting that study participants are subjected to chronic, low-level exposure to these elements. Within the limited number of environmental media samples, arsenic was determined to exceed initial risk screening and background concentration values in soil, while data collected from drinking water samples reflected the unique hydrogeochemistry of the region, including the prevalence of hard or very hard water, and

  16. Two new Loci for body-weight regulation identified in a joint analysis of genome-wide association studies for early-onset extreme obesity in French and german study groups.

    Directory of Open Access Journals (Sweden)

    André Scherag

    2010-04-01

    Full Text Available Meta-analyses of population-based genome-wide association studies (GWAS in adults have recently led to the detection of new genetic loci for obesity. Here we aimed to discover additional obesity loci in extremely obese children and adolescents. We also investigated if these results generalize by estimating the effects of these obesity loci in adults and in population-based samples including both children and adults. We jointly analysed two GWAS of 2,258 individuals and followed-up the best, according to lowest p-values, 44 single nucleotide polymorphisms (SNP from 21 genomic regions in 3,141 individuals. After this DISCOVERY step, we explored if the findings derived from the extremely obese children and adolescents (10 SNPs from 5 genomic regions generalized to (i the population level and (ii to adults by genotyping another 31,182 individuals (GENERALIZATION step. Apart from previously identified FTO, MC4R, and TMEM18, we detected two new loci for obesity: one in SDCCAG8 (serologically defined colon cancer antigen 8 gene; p = 1.85x10(-8 in the DISCOVERY step and one between TNKS (tankyrase, TRF1-interacting ankyrin-related ADP-ribose polymerase gene and MSRA (methionine sulfoxide reductase A gene; p = 4.84x10(-7, the latter finding being limited to children and adolescents as demonstrated in the GENERALIZATION step. The odds ratios for early-onset obesity were estimated at approximately 1.10 per risk allele for both loci. Interestingly, the TNKS/MSRA locus has recently been found to be associated with adult waist circumference. In summary, we have completed a meta-analysis of two GWAS which both focus on extremely obese children and adolescents and replicated our findings in a large followed-up data set. We observed that genetic variants in or near FTO, MC4R, TMEM18, SDCCAG8, and TNKS/MSRA were robustly associated with early-onset obesity. We conclude that the currently known major common variants related to obesity overlap to a substantial

  17. Two new Loci for body-weight regulation identified in a joint analysis of genome-wide association studies for early-onset extreme obesity in French and german study groups.

    Science.gov (United States)

    Scherag, André; Dina, Christian; Hinney, Anke; Vatin, Vincent; Scherag, Susann; Vogel, Carla I G; Müller, Timo D; Grallert, Harald; Wichmann, H-Erich; Balkau, Beverley; Heude, Barbara; Jarvelin, Marjo-Riitta; Hartikainen, Anna-Liisa; Levy-Marchal, Claire; Weill, Jacques; Delplanque, Jérôme; Körner, Antje; Kiess, Wieland; Kovacs, Peter; Rayner, Nigel W; Prokopenko, Inga; McCarthy, Mark I; Schäfer, Helmut; Jarick, Ivonne; Boeing, Heiner; Fisher, Eva; Reinehr, Thomas; Heinrich, Joachim; Rzehak, Peter; Berdel, Dietrich; Borte, Michael; Biebermann, Heike; Krude, Heiko; Rosskopf, Dieter; Rimmbach, Christian; Rief, Winfried; Fromme, Tobias; Klingenspor, Martin; Schürmann, Annette; Schulz, Nadja; Nöthen, Markus M; Mühleisen, Thomas W; Erbel, Raimund; Jöckel, Karl-Heinz; Moebus, Susanne; Boes, Tanja; Illig, Thomas; Froguel, Philippe; Hebebrand, Johannes; Meyre, David

    2010-04-22

    Meta-analyses of population-based genome-wide association studies (GWAS) in adults have recently led to the detection of new genetic loci for obesity. Here we aimed to discover additional obesity loci in extremely obese children and adolescents. We also investigated if these results generalize by estimating the effects of these obesity loci in adults and in population-based samples including both children and adults. We jointly analysed two GWAS of 2,258 individuals and followed-up the best, according to lowest p-values, 44 single nucleotide polymorphisms (SNP) from 21 genomic regions in 3,141 individuals. After this DISCOVERY step, we explored if the findings derived from the extremely obese children and adolescents (10 SNPs from 5 genomic regions) generalized to (i) the population level and (ii) to adults by genotyping another 31,182 individuals (GENERALIZATION step). Apart from previously identified FTO, MC4R, and TMEM18, we detected two new loci for obesity: one in SDCCAG8 (serologically defined colon cancer antigen 8 gene; p = 1.85x10(-8) in the DISCOVERY step) and one between TNKS (tankyrase, TRF1-interacting ankyrin-related ADP-ribose polymerase gene) and MSRA (methionine sulfoxide reductase A gene; p = 4.84x10(-7)), the latter finding being limited to children and adolescents as demonstrated in the GENERALIZATION step. The odds ratios for early-onset obesity were estimated at approximately 1.10 per risk allele for both loci. Interestingly, the TNKS/MSRA locus has recently been found to be associated with adult waist circumference. In summary, we have completed a meta-analysis of two GWAS which both focus on extremely obese children and adolescents and replicated our findings in a large followed-up data set. We observed that genetic variants in or near FTO, MC4R, TMEM18, SDCCAG8, and TNKS/MSRA were robustly associated with early-onset obesity. We conclude that the currently known major common variants related to obesity overlap to a substantial degree

  18. Two New Loci for Body-Weight Regulation Identified in a Joint Analysis of Genome-Wide Association Studies for Early-Onset Extreme Obesity in French and German Study Groups

    Science.gov (United States)

    Scherag, André; Dina, Christian; Hinney, Anke; Vatin, Vincent; Scherag, Susann; Vogel, Carla I. G.; Müller, Timo D.; Grallert, Harald; Wichmann, H.-Erich; Balkau, Beverley; Heude, Barbara; Jarvelin, Marjo-Riitta; Hartikainen, Anna-Liisa; Levy-Marchal, Claire; Weill, Jacques; Delplanque, Jérôme; Körner, Antje; Kiess, Wieland; Kovacs, Peter; Rayner, Nigel W.; Prokopenko, Inga; McCarthy, Mark I.; Schäfer, Helmut; Jarick, Ivonne; Boeing, Heiner; Fisher, Eva; Reinehr, Thomas; Heinrich, Joachim; Rzehak, Peter; Berdel, Dietrich; Borte, Michael; Biebermann, Heike; Krude, Heiko; Rosskopf, Dieter; Rimmbach, Christian; Rief, Winfried; Fromme, Tobias; Klingenspor, Martin; Schürmann, Annette; Schulz, Nadja; Nöthen, Markus M.; Mühleisen, Thomas W.; Erbel, Raimund; Jöckel, Karl-Heinz; Moebus, Susanne; Boes, Tanja; Illig, Thomas; Froguel, Philippe; Hebebrand, Johannes; Meyre, David

    2010-01-01

    Meta-analyses of population-based genome-wide association studies (GWAS) in adults have recently led to the detection of new genetic loci for obesity. Here we aimed to discover additional obesity loci in extremely obese children and adolescents. We also investigated if these results generalize by estimating the effects of these obesity loci in adults and in population-based samples including both children and adults. We jointly analysed two GWAS of 2,258 individuals and followed-up the best, according to lowest p-values, 44 single nucleotide polymorphisms (SNP) from 21 genomic regions in 3,141 individuals. After this DISCOVERY step, we explored if the findings derived from the extremely obese children and adolescents (10 SNPs from 5 genomic regions) generalized to (i) the population level and (ii) to adults by genotyping another 31,182 individuals (GENERALIZATION step). Apart from previously identified FTO, MC4R, and TMEM18, we detected two new loci for obesity: one in SDCCAG8 (serologically defined colon cancer antigen 8 gene; p = 1.85×10−8 in the DISCOVERY step) and one between TNKS (tankyrase, TRF1-interacting ankyrin-related ADP-ribose polymerase gene) and MSRA (methionine sulfoxide reductase A gene; p = 4.84×10−7), the latter finding being limited to children and adolescents as demonstrated in the GENERALIZATION step. The odds ratios for early-onset obesity were estimated at ∼1.10 per risk allele for both loci. Interestingly, the TNKS/MSRA locus has recently been found to be associated with adult waist circumference. In summary, we have completed a meta-analysis of two GWAS which both focus on extremely obese children and adolescents and replicated our findings in a large followed-up data set. We observed that genetic variants in or near FTO, MC4R, TMEM18, SDCCAG8, and TNKS/MSRA were robustly associated with early-onset obesity. We conclude that the currently known major common variants related to obesity overlap to a substantial degree between

  19. Genome-wide association analyses identify 18 new loci associated with serum urate concentrations

    NARCIS (Netherlands)

    Köttgen, Anna; Albrecht, Eva; Teumer, Alexander; Vitart, Veronique; Krumsiek, Jan; Hundertmark, Claudia; Pistis, Giorgio; Ruggiero, Daniela; O'Seaghdha, Conall M; Haller, Toomas; Yang, Qiong; Tanaka, Toshiko; Johnson, Andrew D; Kutalik, Zoltán; Smith, Albert V; Shi, Julia; Struchalin, Maksim; Middelberg, Rita P S; Brown, Morris J; Gaffo, Angelo L; Pirastu, Nicola; Li, Guo; Hayward, Caroline; Zemunik, Tatijana; Huffman, Jennifer; Yengo, Loic; Zhao, Jing Hua; Demirkan, Ayse; Feitosa, Mary F; Liu, Xuan; Malerba, Giovanni; Lopez, Lorna M; van der Harst, Pim; Li, Xinzhong; Kleber, Marcus E; Hicks, Andrew A; Nolte, Ilja M; Johansson, Asa; Murgia, Federico; Wild, Sarah H; Bakker, Stephan J L; Peden, John F; Dehghan, Abbas; Steri, Maristella; Tenesa, Albert; Lagou, Vasiliki; Salo, Perttu; Mangino, Massimo; Rose, Lynda M; Lehtimäki, Terho; Woodward, Owen M; Okada, Yukinori; Tin, Adrienne; Müller, Christian; Oldmeadow, Christopher; Putku, Margus; Czamara, Darina; Kraft, Peter; Frogheri, Laura; Thun, Gian Andri; Grotevendt, Anne; Gislason, Gauti Kjartan; Harris, Tamara B; Launer, Lenore J; McArdle, Patrick; Shuldiner, Alan R; Boerwinkle, Eric; Coresh, Josef; Schmidt, Helena; Schallert, Michael; Martin, Nicholas G; Montgomery, Grant W; Kubo, Michiaki; Nakamura, Yusuke; Tanaka, Toshihiro; Munroe, Patricia B; Samani, Nilesh J; Jacobs, David R; Liu, Kiang; D'Adamo, Pio; Ulivi, Sheila; Rotter, Jerome I; Psaty, Bruce M; Vollenweider, Peter; Waeber, Gerard; Campbell, Susan; Devuyst, Olivier; Navarro, Pau; Kolcic, Ivana; Hastie, Nicholas; Balkau, Beverley; Froguel, Philippe; Esko, Tõnu; Salumets, Andres; Khaw, Kay Tee; Langenberg, Claudia; Wareham, Nicholas J; Isaacs, Aaron; Kraja, Aldi; Zhang, Qunyuan; Wild, Philipp S; Scott, Rodney J; Holliday, Elizabeth G; Org, Elin; Viigimaa, Margus; Bandinelli, Stefania; Metter, Jeffrey E; Lupo, Antonio; Trabetti, Elisabetta; Sorice, Rossella; Döring, Angela; Lattka, Eva; Strauch, Konstantin; Theis, Fabian; Waldenberger, Melanie; Wichmann, H-Erich; Davies, Gail; Gow, Alan J; Bruinenberg, Marcel; Stolk, Ronald P; Kooner, Jaspal S; Zhang, Weihua; Winkelmann, Bernhard R; Boehm, Bernhard O; Lucae, Susanne; Penninx, Brenda W; Smit, Johannes H; Curhan, Gary; Mudgal, Poorva; Plenge, Robert M; Portas, Laura; Persico, Ivana; Kirin, Mirna; Wilson, James F; Mateo Leach, Irene; van Gilst, Wiek H; Goel, Anuj; Ongen, Halit; Hofman, Albert; Rivadeneira, Fernando; Uitterlinden, Andre G; Imboden, Medea; von Eckardstein, Arnold; Cucca, Francesco; Nagaraja, Ramaiah; Piras, Maria Grazia; Nauck, Matthias; Schurmann, Claudia; Budde, Kathrin; Ernst, Florian; Farrington, Susan M; Theodoratou, Evropi; Prokopenko, Inga; Stumvoll, Michael; Jula, Antti; Perola, Markus; Salomaa, Veikko; Shin, So-Youn; Spector, Tim D; Sala, Cinzia; Ridker, Paul M; Kähönen, Mika; Viikari, Jorma; Hengstenberg, Christian; Nelson, Christopher P; Meschia, James F; Nalls, Michael A; Sharma, Pankaj; Singleton, Andrew B; Kamatani, Naoyuki; Zeller, Tanja; Burnier, Michel; Attia, John; Laan, Maris; Klopp, Norman; Hillege, Hans L; Kloiber, Stefan; Choi, Hyon; Pirastu, Mario; Tore, Silvia; Probst-Hensch, Nicole M; Völzke, Henry; Gudnason, Vilmundur; Parsa, Afshin; Schmidt, Reinhold; Whitfield, John B; Fornage, Myriam; Gasparini, Paolo; Siscovick, David S; Polašek, Ozren; Campbell, Harry; Rudan, Igor; Bouatia-Naji, Nabila; Metspalu, Andres; Loos, Ruth J F; van Duijn, Cornelia M; Borecki, Ingrid B; Ferrucci, Luigi; Gambaro, Giovanni; Deary, Ian J; Wolffenbuttel, Bruce H R; Chambers, John C; März, Winfried; Pramstaller, Peter P; Snieder, Harold; Gyllensten, Ulf; Wright, Alan F; Navis, Gerjan; Watkins, Hugh; Witteman, Jacqueline C M; Sanna, Serena; Schipf, Sabine; Dunlop, Malcolm G; Tönjes, Anke; Ripatti, Samuli; Soranzo, Nicole; Toniolo, Daniela; Chasman, Daniel I; Raitakari, Olli; Kao, W H Linda; Ciullo, Marina; Fox, Caroline S; Caulfield, Mark; Bochud, Murielle; Gieger, Christian

    2013-01-01

    Elevated serum urate concentrations can cause gout, a prevalent and painful inflammatory arthritis. By combining data from >140,000 individuals of European ancestry within the Global Urate Genetics Consortium (GUGC), we identified and replicated 28 genome-wide significant loci in association with se

  20. A genome-wide association scan in pig identifies novel regions associated with feed efficiency trait

    DEFF Research Database (Denmark)

    Sahana, Goutam; Kadlecová, Veronika; Hornshøj, Henrik;

    2013-01-01

    Feed conversion ratio (FCR) is an economically important trait in pigs and feed accounts for a significant proportion of the costs involved in pig production. In this study we used a high density SNP chip panel, Porcine SNP60 BeadChip, to identify association between FCR and SNP markers and to st...

  1. Imputation and subset-based association analysis across different cancer types identifies multiple independent risk loci in the TERT-CLPTM1L region on chromosome 5p15.33.

    OpenAIRE

    Wang, Zhaoming; Zhu, Bin; Zhang, Mingfeng; Parikh, Hemang; Jia, Jinping; Chung, Charles C.; Sampson, Joshua N.; Hoskins, Jason W; Hutchinson, Amy; Burdette, Laurie; Ibrahim, Abdisamad; Hautman, Christopher; Raj, Preethi S.; Abnet, Christian C.; Adjei, Andrew A.

    2014-01-01

    Genome-wide association studies (GWAS) have mapped risk alleles for at least 10 distinct cancers to a small region of 63 000 bp on chromosome 5p15.33. This region harbors the TERT and CLPTM1L genes; the former encodes the catalytic subunit of telomerase reverse transcriptase and the latter may play a role in apoptosis. To investigate further the genetic architecture of common susceptibility alleles in this region, we conducted an agnostic subset-based meta-analysis (association analysis based...

  2. Genome-wide meta-analyses identify three loci associated with primary biliary cirrhosis

    Science.gov (United States)

    Liu, Xiangdong; Invernizzi, Pietro; Lu, Yue; Kosoy, Roman; Lu, Yan; Bianchi, Ilaria; Podda, Mauro; Xu, Chun; Xie, Gang; Macciardi, Fabio; Selmi, Carlo; Lupoli, Sara; Shigeta, Russell; Ransom, Michael; Lleo, Ana; Lee, Annette T; Mason, Andrew L; Myers, Robert P; Peltekian, Kevork M; Ghent, Cameron N; Bernuzzi, Francesca; Zuin, Massimo; Rosina, Floriano; Borghesio, Elisabetta; Floreani, Annarosa; Lazzari, Roberta; Niro, Grazia; Andriulli, Angelo; Muratori, Luigi; Muratori, Paolo; Almasio, Piero L; Andreone, Pietro; Margotti, Marzia; Brunetto, Maurizia; Coco, Barbara; Alvaro, Domenico; Bragazzi, Maria C; Marra, Fabio; Pisano, Alessandro; Rigamonti, Cristina; Colombo, Massimo; Marzioni, Marco; Benedetti, Antonio; Fabris, Luca; Strazzabosco, Mario; Portincasa, Piero; Palmieri, Vincenzo O; Tiribelli, Claudio; Croce, Lory; Bruno, Savino; Rossi, Sonia; Vinci, Maria; Prisco, Cleofe; Mattalia, Alberto; Toniutto, Pierluigi; Picciotto, Antonio; Galli, Andrea; Ferrari, Carlo; Colombo, Silvia; Casella, Giovanni; Morini, Lorenzo; Caporaso, Nicola; Colli, Agostino; Spinzi, Giancarlo; Montanari, Renzo; Gregersen, Peter K; Heathcote, E Jenny; Hirschfield, Gideon M; Siminovitch, Katherine A; Amos, Christopher I; Gershwin, M Eric; Seldin, Michael F

    2011-01-01

    A genome-wide association screen for primary biliary cirrhosis risk alleles was performed in an Italian cohort. The results from the Italian cohort replicated IL12A and IL12RB associations, and a combined meta-analysis using a Canadian dataset identified newly associated loci at SPIB (P = 7.9 × 10–11, odds ratio (OR) = 1.46), IRF5-TNPO3 (P = 2.8 × 10–10, OR = 1.63) and 17q12-21 (P = 1.7 × 10–10, OR = 1.38). PMID:20639880

  3. Complex Multi-Block Analysis identifies new immunologic and genetic disease progression patterns associated with the Residual β-Cell function 1 year after diagnosis of Type 1 Diabetes

    DEFF Research Database (Denmark)

    Andersen, Marie Louise Max; Rasmussen, Morten Arendt; Pörksen, Sven;

    2013-01-01

    The purpose of the present study is to explore the progression of type 1 diabetes (T1D) in Danish children 12 months after diagnosis using Latent Factor Modelling. We include three data blocks of dynamic paraclinical biomarkers, baseline clinical characteristics and genetic profiles of diabetes...... related SNPs in the analyses. This method identified a model explaining 21.6% of the total variation in the data set. The model consists of two components: (1) A pattern of declining residual β-cell function positively associated with young age, presence of diabetic ketoacidosis and long duration.......0005). These results demonstrate that Latent Factor Modelling can identify associating patterns in clinical prospective data--future functional studies will be needed to clarify the relevance of these patterns....

  4. Genome-wide association study of corticobasal degeneration identifies risk variants shared with progressive supranuclear palsy

    Science.gov (United States)

    Kouri, Naomi; Ross, Owen A.; Dombroski, Beth; Younkin, Curtis S.; Serie, Daniel J.; Soto-Ortolaza, Alexandra; Baker, Matthew; Finch, Ni Cole A.; Yoon, Hyejin; Kim, Jungsu; Fujioka, Shinsuke; McLean, Catriona A.; Ghetti, Bernardino; Spina, Salvatore; Cantwell, Laura B.; Farlow, Martin R.; Grafman, Jordan; Huey, Edward D.; Ryung Han, Mi; Beecher, Sherry; Geller, Evan T.; Kretzschmar, Hans A.; Roeber, Sigrun; Gearing, Marla; Juncos, Jorge L.; Vonsattel, Jean Paul G.; Van Deerlin, Vivianna M.; Grossman, Murray; Hurtig, Howard I.; Gross, Rachel G.; Arnold, Steven E.; Trojanowski, John Q.; Lee, Virginia M.; Wenning, Gregor K.; White, Charles L.; Höglinger, Günter U.; Müller, Ulrich; Devlin, Bernie; Golbe, Lawrence I.; Crook, Julia; Parisi, Joseph E.; Boeve, Bradley F.; Josephs, Keith A.; Wszolek, Zbigniew K.; Uitti, Ryan J.; Graff-Radford, Neill R.; Litvan, Irene; Younkin, Steven G.; Wang, Li-San; Ertekin-Taner, Nilüfer; Rademakers, Rosa; Hakonarsen, Hakon; Schellenberg, Gerard D.; Dickson, Dennis W.

    2015-01-01

    Corticobasal degeneration (CBD) is a neurodegenerative disorder affecting movement and cognition, definitively diagnosed only at autopsy. Here, we conduct a genome-wide association study (GWAS) in CBD cases (n=152) and 3,311 controls, and 67 CBD cases and 439 controls in a replication stage. Associations with meta-analysis were 17q21 at MAPT (P=1.42 × 10−12), 8p12 at lnc-KIF13B-1, a long non-coding RNA (rs643472; P=3.41 × 10−8), and 2p22 at SOS1 (rs963731; P=1.76 × 10−7). Testing for association of CBD with top progressive supranuclear palsy (PSP) GWAS single-nucleotide polymorphisms (SNPs) identified associations at MOBP (3p22; rs1768208; P=2.07 × 10−7) and MAPT H1c (17q21; rs242557; P=7.91 × 10−6). We previously reported SNP/transcript level associations with rs8070723/MAPT, rs242557/MAPT, and rs1768208/MOBP and herein identified association with rs963731/SOS1. We identify new CBD susceptibility loci and show that CBD and PSP share a genetic risk factor other than MAPT at 3p22 MOBP (myelin-associated oligodendrocyte basic protein). PMID:26077951

  5. Global secretome analysis identifies novel mediators of bone metastasis

    Institute of Scientific and Technical Information of China (English)

    Mario Andres Blanco; Gary LeRoy; Zia Khan; Ma(s)a Ale(c)kovi(c); Barry M Zee; Benjamin A Garcia; Yibin Kang

    2012-01-01

    Bone is the one of the most common sites of distant metastasis of solid tumors.Secreted proteins are known to influence pathological interactions between metastatic cancer cells and the bone stroma.To comprehensively profile secreted proteins associated with bone metastasis,we used quantitative and non-quantitative mass spectrometry to globally analyze the secretomes of nine cell lines of varying bone metastatic ability from multiple species and cancer types.By comparing the secretomes of parental cells and their bone metastatic derivatives,we identified the secreted proteins that were uniquely associated with bone metastasis in these cell lines.We then incorporated bioinformatic analyses of large clinical metastasis datasets to obtain a list of candidate novel bone metastasis proteins of several functional classes that were strongly associated with both clinical and experimental bone metastasis.Functional validation of selected proteins indicated that in vivo bone metastasis can be promoted by high expression of (1) the salivary cystatins CST1,CST2,and CST4; (2) the plasminogen activators PLAT and PLAU; or (3) the collagen functionality proteins PLOD2 and COL6A1.Overall,our study has uncovered several new secreted mediators of bone metastasis and therefore demonstrated that secretome analysis is a powerful method for identification of novel biomarkers and candidate therapeutic targets.

  6. Meta-analyses identify 13 loci associated with age at menopause and highlight DNA repair and immune pathways

    NARCIS (Netherlands)

    Stolk, Lisette; Perry, John R B; Chasman, Daniel I; He, Chunyan; Mangino, Massimo; Sulem, Patrick; Barbalic, Maja; Broer, Linda; Byrne, Enda M; Ernst, Florian; Esko, Tõnu; Franceschini, Nora; Gudbjartsson, Daniel F; Hottenga, Jouke-Jan; Kraft, Peter; McArdle, Patrick F; Porcu, Eleonora; Shin, So-Youn; Smith, Albert V; van Wingerden, Sophie; Zhai, Guangju; Zhuang, Wei V; Albrecht, Eva; Alizadeh, Behrooz Z; Aspelund, Thor; Bandinelli, Stefania; Lauc, Lovorka Barac; Beckmann, Jacques S; Boban, Mladen; Boerwinkle, Eric; Broekmans, Frank J; Burri, Andrea; Campbell, Harry; Chanock, Stephen J; Chen, Constance; Cornelis, Marilyn C; Corre, Tanguy; Coviello, Andrea D; d'Adamo, Pio; Davies, Gail; de Faire, Ulf; de Geus, Eco J C; Deary, Ian J; Dedoussis, George V Z; Deloukas, Panagiotis; Ebrahim, Shah; Eiriksdottir, Gudny; Emilsson, Valur; Eriksson, Johan G; Fauser, Bart C J M; Ferreli, Liana; Ferrucci, Luigi; Fischer, Krista; Folsom, Aaron R; Garcia, Melissa E; Gasparini, Paolo; Gieger, Christian; Glazer, Nicole; Grobbee, Diederick E; Hall, Per; Haller, Toomas; Hankinson, Susan E; Hass, Merli; Hayward, Caroline; Heath, Andrew C; Hofman, Albert; Ingelsson, Erik; Janssens, A Cecile J W; Johnson, Andrew D; Karasik, David; Kardia, Sharon L R; Keyzer, Jules; Kiel, Douglas P; Kolcic, Ivana; Kutalik, Zoltán; Lahti, Jari; Lai, Sandra; Laisk, Triin; Laven, Joop S E; Lawlor, Debbie A; Liu, Jianjun; Lopez, Lorna M; Louwers, Yvonne V; Magnusson, Patrik K E; Marongiu, Mara; Martin, Nicholas G; Klaric, Irena Martinovic; Masciullo, Corrado; McKnight, Barbara; Medland, Sarah E; Melzer, David; Mooser, Vincent; Navarro, Pau; Newman, Anne B; Nyholt, Dale R; Onland-Moret, N Charlotte; Palotie, Aarno; Paré, Guillaume; Parker, Alex N; Pedersen, Nancy L; Peeters, Petra H M; Pistis, Giorgio; Plump, Andrew S; Polasek, Ozren; Pop, Victor J M; Psaty, Bruce M; Räikkönen, Katri; Rehnberg, Emil; Rotter, Jerome I; Rudan, Igor; Sala, Cinzia; Salumets, Andres; Scuteri, Angelo; Singleton, Andrew; Smith, Jennifer A; Snieder, Harold; Soranzo, Nicole; Stacey, Simon N; Starr, John M; Stathopoulou, Maria G; Stirrups, Kathleen; Stolk, Ronald P; Styrkarsdottir, Unnur; Sun, Yan V; Tenesa, Albert; Thorand, Barbara; Toniolo, Daniela; Tryggvadottir, Laufey; Tsui, Kim; Ulivi, Sheila; van Dam, Rob M; van der Schouw, Yvonne T; van Gils, Carla H; van Nierop, Peter; Vink, Jacqueline M; Visscher, Peter M; Voorhuis, Marlies; Waeber, Gérard; Wallaschofski, Henri; Wichmann, H Erich; Widen, Elisabeth; Wijnands-van Gent, Colette J M; Willemsen, Gonneke; Wilson, James F; Wolffenbuttel, Bruce H R; Wright, Alan F; Yerges-Armstrong, Laura M; Zemunik, Tatijana; Zgaga, Lina; Zillikens, M Carola; Zygmunt, Marek; Arnold, Alice M; Boomsma, Dorret I; Buring, Julie E; Crisponi, Laura; Demerath, Ellen W; Gudnason, Vilmundur; Harris, Tamara B; Hu, Frank B; Hunter, David J; Launer, Lenore J; Metspalu, Andres; Montgomery, Grant W; Oostra, Ben A; Ridker, Paul M; Sanna, Serena; Schlessinger, David; Spector, Tim D; Stefansson, Kari; Streeten, Elizabeth A; Thorsteinsdottir, Unnur; Uda, Manuela; Uitterlinden, André G; van Duijn, Cornelia M; Völzke, Henry; Murray, Anna; Murabito, Joanne M; Visser, Jenny A; Lunetta, Kathryn L

    2012-01-01

    To newly identify loci for age at natural menopause, we carried out a meta-analysis of 22 genome-wide association studies (GWAS) in 38,968 women of European descent, with replication in up to 14,435 women. In addition to four known loci, we identified 13 loci newly associated with age at natural men

  7. Meta-analyses identify 13 loci associated with age at menopause and highlight DNA repair and immune pathways

    NARCIS (Netherlands)

    L. Stolk (Lisette); J.R.B. Perry (John); D.I. Chasman (Daniel); C. He (Chunyan); M. Mangino (Massimo); P. Sulem (Patrick); M. Barbalic (maja); L. Broer (Linda); E.M. Byrne (Enda); F.D.J. Ernst (Florian); T. Esko (Tõnu); N. Franceschini (Nora); D.F. Gudbjartsson (Daniel); J.J. Hottenga (Jouke Jan); P. Kraft (Peter); P.F. McArdle (Patrick); E. Porcu (Eleonora); S.-Y. Shin; G.D. Smith; S. van Wingerden (Sophie); G. Zhai (Guangju); W.V. Zhuang; E. Albrecht (Eva); B.Z. Alizadeh (Behrooz); T. Aspelund (Thor); S. Bandinelli (Stefania); G. Lauc (Gordan); J.S. Beckmann (Jacques); M. Boban (Mladen); E.A. Boerwinkle (Eric); F.J.M. Broekmans (Frank); A. Burri (Andrea); H. Campbell (Harry); S.J. Chanock (Stephen); C. Chen (Constance); M. Cornelis (Marilyn); T. Corre (Tanguy); A.D. Coviello (Andrea); P. d' Adamo (Pio); G. Davies (Gail); U. de Faire (Ulf); E.J.C. de Geus (Eco); I.J. Deary (Ian); G.V. Dedoussis (George); P. Deloukas (Panagiotis); S. Ebrahim (Shanil); G. Eiriksdottir (Gudny); V. Emilsson (Valur); J.G. Eriksson (Johan); B.C.J.M. Fauser (Bart); L. Ferreli (Liana); L. Ferrucci (Luigi); K. Fischer (Krista); A.R. Folsom (Aaron); M. Garcia (Melissa); P. Gasparini (Paolo); C. Gieger (Christian); N.L. Glazer (Nicole); D.E. Grobbee (Diederick); P. Hall (Per); T. Haller (Toomas); S.E. Hankinson (Susan); M. Hass (Merli); C. Hayward (Caroline); A.C. Heath (Andrew); A. Hofman (Albert); E. Ingelsson (Erik); A.C.J.W. Janssens (Cécile); A.D. Johnson (Andrew); D. Karasik (David); S.L.R. Kardia (Sharon); J.J. de Keyzer (Jules); D.P. Kiel (Douglas); I. Kolcic (Ivana); Z. Kutalik (Zoltán); J. Lahti (Jari); S. Lai (Sandra); T. Laisk (Triin); J.S.E. Laven (Joop); D.A. Lawlor (Debbie); J. Liu (Jianjun); L.M. Lopez (Lorna); Y.V. Louwers (Yvonne); P.K. Magnusson (Patrik); M. Marongiu (Mara); N.G. Martin (Nicholas); I.M. Klaric (Irena Martinovic); C. Masciullo (Corrado); B. McKnight (Barbara); S.E. Medland (Sarah Elizabeth); D. Melzer (David); V. Mooser (Vincent); P. Navarro (Pau); A.B. Newman (Anne); D.R. Nyholt (Dale); N.C. Onland-Moret (Charlotte); A. Palotie (Aarno); G. Paré (Guillaume); A.N. Parker (Alex); N.L. Pedersen (Nancy); P.H.M. Peeters (Petra); G. Pistis (Giorgio); A.S. Plump (Andrew); O. Polasek (Ozren); V. Pop (Victor); B.M. Psaty (Bruce); K. R Currency Signikkönen (Katri); E. Rehnberg (Emil); J.I. Rotter (Jerome); I. Rudan (Igor); C. Sala (Cinzia); A. Salumets (Andres); A. Scuteri (Angelo); A. Singleton (Andrew); J.A. Smith (Jennifer A); H. Snieder (Harold); N. Soranzo (Nicole); S.N. Stacey (Simon); J.M. Starr (John); M.G. Stathopoulou (Maria G); K. Stirrups (Kathy); R.P. Stolk (Ronald); U. Styrkarsdottir (Unnur); Y.V. Sun (Yan); A. Tenesa (Albert); B. Thorand (Barbara); D. Toniolo (Daniela); L. Tryggvadottir (Laufey); K. Tsui (Kim); S. Ulivi (Shelia); R.M. van Dam (Rob); Y.T. van der Schouw (Yvonne); C.H. van Gils (Carla); P.W.M. van Nierop (Peter); J.M. Vink (Jacqueline); P.M. Visscher (Peter); M. Voorhuis (Marlies); G. Waeber (Gérard); H. Wallaschofski (Henri); H.E. Wichmann (Heinz Erich); E. Widen (Elisabeth); C.J.M. Wijnands-Van Gent (Colette J M); G.A.H.M. Willemsen (Gonneke); J.F. Wilson (James); B.H.R. Wolffenbuttel (Bruce); A.F. Wright (Alan); L.M. Yerges-Armstrong (Laura); T. Zemunik (Tatijana); L. Zgaga (Lina); M.C. Zillikens (Carola); M. Zygmunt (Marek); A.M. Arnold (Alice); D.I. Boomsma (Dorret); J.E. Buring (Julie); L. Crisponi (Laura); E.W. Demerath (Ellen); V. Gudnason (Vilmundur); T.B. Harris (Tamara); F.B. Hu (Frank); D. Hunter (David); L.J. Launer (Lenore); A. Metspalu (Andres); G.W. Montgomery (Grant); B.A. Oostra (Ben); P.M. Ridker (Paul); S. Sanna (Serena); D. Schlessinger (David); T.D. Spector (Timothy); J-A. Zwart (John-Anker); E.A. Streeten (Elizabeth); U. Thorsteinsdottir (Unnur); M. Uda (Manuela); A.G. Uitterlinden (André); C.M. van Duijn (Cock); H. Völzke (Henry); A. Murray (Anna); J. Murabito (Joanne); J.A. Visser (Jenny); K.L. Lunetta (Kathryn)

    2012-01-01

    textabstractTo newly identify loci for age at natural menopause, we carried out a meta-analysis of 22 genome-wide association studies (GWAS) in 38,968 women of European descent, with replication in up to 14,435 women. In addition to four known loci, we identified 13 loci newly associated with age at

  8. Whole-Exome Sequencing Identifies Rare and Low-Frequency Coding Variants Associated with LDL Cholesterol

    Science.gov (United States)

    Lange, Leslie A.; Hu, Youna; Zhang, He; Xue, Chenyi; Schmidt, Ellen M.; Tang, Zheng-Zheng; Bizon, Chris; Lange, Ethan M.; Smith, Joshua D.; Turner, Emily H.; Jun, Goo; Kang, Hyun Min; Peloso, Gina; Auer, Paul; Li, Kuo-ping; Flannick, Jason; Zhang, Ji; Fuchsberger, Christian; Gaulton, Kyle; Lindgren, Cecilia; Locke, Adam; Manning, Alisa; Sim, Xueling; Rivas, Manuel A.; Holmen, Oddgeir L.; Gottesman, Omri; Lu, Yingchang; Ruderfer, Douglas; Stahl, Eli A.; Duan, Qing; Li, Yun; Durda, Peter; Jiao, Shuo; Isaacs, Aaron; Hofman, Albert; Bis, Joshua C.; Correa, Adolfo; Griswold, Michael E.; Jakobsdottir, Johanna; Smith, Albert V.; Schreiner, Pamela J.; Feitosa, Mary F.; Zhang, Qunyuan; Huffman, Jennifer E.; Crosby, Jacy; Wassel, Christina L.; Do, Ron; Franceschini, Nora; Martin, Lisa W.; Robinson, Jennifer G.; Assimes, Themistocles L.; Crosslin, David R.; Rosenthal, Elisabeth A.; Tsai, Michael; Rieder, Mark J.; Farlow, Deborah N.; Folsom, Aaron R.; Lumley, Thomas; Fox, Ervin R.; Carlson, Christopher S.; Peters, Ulrike; Jackson, Rebecca D.; van Duijn, Cornelia M.; Uitterlinden, André G.; Levy, Daniel; Rotter, Jerome I.; Taylor, Herman A.; Gudnason, Vilmundur; Siscovick, David S.; Fornage, Myriam; Borecki, Ingrid B.; Hayward, Caroline; Rudan, Igor; Chen, Y. Eugene; Bottinger, Erwin P.; Loos, Ruth J.F.; Sætrom, Pål; Hveem, Kristian; Boehnke, Michael; Groop, Leif; McCarthy, Mark; Meitinger, Thomas; Ballantyne, Christie M.; Gabriel, Stacey B.; O’Donnell, Christopher J.; Post, Wendy S.; North, Kari E.; Reiner, Alexander P.; Boerwinkle, Eric; Psaty, Bruce M.; Altshuler, David; Kathiresan, Sekar; Lin, Dan-Yu; Jarvik, Gail P.; Cupples, L. Adrienne; Kooperberg, Charles; Wilson, James G.; Nickerson, Deborah A.; Abecasis, Goncalo R.; Rich, Stephen S.; Tracy, Russell P.; Willer, Cristen J.; Gabriel, Stacey B.; Altshuler, David M.; Abecasis, Gonçalo R.; Allayee, Hooman; Cresci, Sharon; Daly, Mark J.; de Bakker, Paul I.W.; DePristo, Mark A.; Do, Ron; Donnelly, Peter; Farlow, Deborah N.; Fennell, Tim; Garimella, Kiran; Hazen, Stanley L.; Hu, Youna; Jordan, Daniel M.; Jun, Goo; Kathiresan, Sekar; Kang, Hyun Min; Kiezun, Adam; Lettre, Guillaume; Li, Bingshan; Li, Mingyao; Newton-Cheh, Christopher H.; Padmanabhan, Sandosh; Peloso, Gina; Pulit, Sara; Rader, Daniel J.; Reich, David; Reilly, Muredach P.; Rivas, Manuel A.; Schwartz, Steve; Scott, Laura; Siscovick, David S.; Spertus, John A.; Stitziel, Nathaniel O.; Stoletzki, Nina; Sunyaev, Shamil R.; Voight, Benjamin F.; Willer, Cristen J.; Rich, Stephen S.; Akylbekova, Ermeg; Atwood, Larry D.; Ballantyne, Christie M.; Barbalic, Maja; Barr, R. Graham; Benjamin, Emelia J.; Bis, Joshua; Boerwinkle, Eric; Bowden, Donald W.; Brody, Jennifer; Budoff, Matthew; Burke, Greg; Buxbaum, Sarah; Carr, Jeff; Chen, Donna T.; Chen, Ida Y.; Chen, Wei-Min; Concannon, Pat; Crosby, Jacy; Cupples, L. Adrienne; D’Agostino, Ralph; DeStefano, Anita L.; Dreisbach, Albert; Dupuis, Josée; Durda, J. Peter; Ellis, Jaclyn; Folsom, Aaron R.; Fornage, Myriam; Fox, Caroline S.; Fox, Ervin; Funari, Vincent; Ganesh, Santhi K.; Gardin, Julius; Goff, David; Gordon, Ora; Grody, Wayne; Gross, Myron; Guo, Xiuqing; Hall, Ira M.; Heard-Costa, Nancy L.; Heckbert, Susan R.; Heintz, Nicholas; Herrington, David M.; Hickson, DeMarc; Huang, Jie; Hwang, Shih-Jen; Jacobs, David R.; Jenny, Nancy S.; Johnson, Andrew D.; Johnson, Craig W.; Kawut, Steven; Kronmal, Richard; Kurz, Raluca; Lange, Ethan M.; Lange, Leslie A.; Larson, Martin G.; Lawson, Mark; Lewis, Cora E.; Levy, Daniel; Li, Dalin; Lin, Honghuang; Liu, Chunyu; Liu, Jiankang; Liu, Kiang; Liu, Xiaoming; Liu, Yongmei; Longstreth, William T.; Loria, Cay; Lumley, Thomas; Lunetta, Kathryn; Mackey, Aaron J.; Mackey, Rachel; Manichaikul, Ani; Maxwell, Taylor; McKnight, Barbara; Meigs, James B.; Morrison, Alanna C.; Musani, Solomon K.; Mychaleckyj, Josyf C.; Nettleton, Jennifer A.; North, Kari; O’Donnell, Christopher J.; O’Leary, Daniel; Ong, Frank; Palmas, Walter; Pankow, James S.; Pankratz, Nathan D.; Paul, Shom; Perez, Marco; Person, Sharina D.; Polak, Joseph; Post, Wendy S.; Psaty, Bruce M.; Quinlan, Aaron R.; Raffel, Leslie J.; Ramachandran, Vasan S.; Reiner, Alexander P.; Rice, Kenneth; Rotter, Jerome I.; Sanders, Jill P.; Schreiner, Pamela; Seshadri, Sudha; Shea, Steve; Sidney, Stephen; Silverstein, Kevin; Smith, Nicholas L.; Sotoodehnia, Nona; Srinivasan, Asoke; Taylor, Herman A.; Taylor, Kent; Thomas, Fridtjof; Tracy, Russell P.; Tsai, Michael Y.

    2014-01-01

    Elevated low-density lipoprotein cholesterol (LDL-C) is a treatable, heritable risk factor for cardiovascular disease. Genome-wide association studies (GWASs) have identified 157 variants associated with lipid levels but are not well suited to assess the impact of rare and low-frequency variants. To determine whether rare or low-frequency coding variants are associated with LDL-C, we exome sequenced 2,005 individuals, including 554 individuals selected for extreme LDL-C (>98th or <2nd percentile). Follow-up analyses included sequencing of 1,302 additional individuals and genotype-based analysis of 52,221 individuals. We observed significant evidence of association between LDL-C and the burden of rare or low-frequency variants in PNPLA5, encoding a phospholipase-domain-containing protein, and both known and previously unidentified variants in PCSK9, LDLR and APOB, three known lipid-related genes. The effect sizes for the burden of rare variants for each associated gene were substantially higher than those observed for individual SNPs identified from GWASs. We replicated the PNPLA5 signal in an independent large-scale sequencing study of 2,084 individuals. In conclusion, this large whole-exome-sequencing study for LDL-C identified a gene not known to be implicated in LDL-C and provides unique insight into the design and analysis of similar experiments. PMID:24507775

  9. Complex multi-block analysis identifies new immunologic and genetic disease progression patterns associated with the residual β-cell function 1 year after diagnosis of type 1 diabetes.

    Directory of Open Access Journals (Sweden)

    Marie Louise Max Andersen

    Full Text Available The purpose of the present study is to explore the progression of type 1 diabetes (T1D in Danish children 12 months after diagnosis using Latent Factor Modelling. We include three data blocks of dynamic paraclinical biomarkers, baseline clinical characteristics and genetic profiles of diabetes related SNPs in the analyses. This method identified a model explaining 21.6% of the total variation in the data set. The model consists of two components: (1 A pattern of declining residual β-cell function positively associated with young age, presence of diabetic ketoacidosis and long duration of disease symptoms (P = 0.0004, and with risk alleles of WFS1, CDKN2A/2B and RNLS (P = 0.006. (2 A second pattern of high ZnT8 autoantibody levels and low postprandial glucagon levels associated with risk alleles of IFIH1, TCF2, TAF5L, IL2RA and PTPN2 and protective alleles of ERBB3 gene (P = 0.0005. These results demonstrate that Latent Factor Modelling can identify associating patterns in clinical prospective data--future functional studies will be needed to clarify the relevance of these patterns.

  10. TP53-based interaction analysis identifies cis-eQTL variants for TP53BP2, FBXO28, and FAM53A that associate with survival and treatment outcome in breast cancer.

    Science.gov (United States)

    Fagerholm, Rainer; Khan, Sofia; Schmidt, Marjanka K; García-Closas, Montserrat; Heikkilä, Päivi; Saarela, Jani; Beesley, Jonathan; Jamshidi, Maral; Aittomäki, Kristiina; Liu, Jianjun; Ali, H Raza; Andrulis, Irene L; Beckmann, Matthias W; Behrens, Sabine; Blows, Fiona M; Brenner, Hermann; Chang-Claude, Jenny; Couch, Fergus J; Czene, Kamila; Fasching, Peter A; Figueroa, Jonine; Floris, Giuseppe; Glendon, Gord; Guo, Qi; Hall, Per; Hallberg, Emily; Hamann, Ute; Holleczek, Bernd; Hooning, Maartje J; Hopper, John L; Jager, Agnes; Kabisch, Maria; Keeman, Renske; Kosma, Veli-Matti; Lambrechts, Diether; Lindblom, Annika; Mannermaa, Arto; Margolin, Sara; Provenzano, Elena; Shah, Mitul; Southey, Melissa C; Dennis, Joe; Lush, Michael; Michailidou, Kyriaki; Wang, Qin; Bolla, Manjeet K; Dunning, Alison M; Easton, Douglas F; Pharoah, Paul D P; Chenevix-Trench, Georgia; Blomqvist, Carl; Nevanlinna, Heli

    2017-02-05

    TP53 overexpression is indicative of somatic TP53 mutations and associates with aggressive tumors and poor prognosis in breast cancer. We utilized a two-stage SNP association study to detect variants associated with breast cancer survival in a TP53-dependent manner. Initially, a genome-wide study (n = 575 cases) was conducted to discover candidate SNPs for genotyping and validation in the Breast Cancer Association Consortium (BCAC). The SNPs were then tested for interaction with tumor TP53 status (n = 4,610) and anthracycline treatment (n = 17,828). For SNPs interacting with anthracycline treatment, siRNA knockdown experiments were carried out to validate candidate genes.In the test for interaction between SNP genotype and TP53 status, we identified one locus, represented by rs10916264 (p(interaction) = 3.44 × 10-5; FDR-adjusted p = 0.0011) in estrogen receptor (ER) positive cases. The rs10916264 AA genotype associated with worse survival among cases with ER-positive, TP53-positive tumors (hazard ratio [HR] 2.36, 95% confidence interval [C.I] 1.45 - 3.82). This is a cis-eQTL locus for FBXO28 and TP53BP2; expression levels of these genes were associated with patient survival specifically in ER-positive, TP53-mutated tumors. Additionally, the SNP rs798755 was associated with survival in interaction with anthracycline treatment (p(interaction) = 9.57 × 10-5, FDR-adjusted p = 0.0130). RNAi-based depletion of a predicted regulatory target gene, FAM53A, indicated that this gene can modulate doxorubicin sensitivity in breast cancer cell lines.If confirmed in independent data sets, these results may be of clinical relevance in the development of prognostic and predictive marker panels for breast cancer.

  11. Genome-wide association study identifies 74 loci associated with educational attainment

    Science.gov (United States)

    Okbay, Aysu; Beauchamp, Jonathan P.; Fontana, Mark A.; Lee, James J.; Pers, Tune H.; Rietveld, Cornelius A.; Turley, Patrick; Chen, Guo-Bo; Emilsson, Valur; Meddens, S. Fleur W.; Oskarsson, Sven; Pickrell, Joseph K.; Thom, Kevin; Timshel, Pascal; de Vlaming, Ronald; Abdellaoui, Abdel; Ahluwalia, Tarunveer S.; Bacelis, Jonas; Baumbach, Clemens; Bjornsdottir, Gyda; Brandsma, Johannes H.; Concas, Maria Pina; Derringer, Jaime; Furlotte, Nicholas A.; Galesloot, Tessel E.; Girotto, Giorgia; Gupta, Richa; Hall, Leanne M.; Harris, Sarah E.; Hofer, Edith; Horikoshi, Momoko; Huffman, Jennifer E.; Kaasik, Kadri; Kalafati, Ioanna P.; Karlsson, Robert; Kong, Augustine; Lahti, Jari; van der Lee, Sven J.; de Leeuw, Christiaan; Lind, Penelope A.; Lindgren, Karl-Oskar; Liu, Tian; Mangino, Massimo; Marten, Jonathan; Mihailov, Evelin; Miller, Michael B.; van der Most, Peter J.; Oldmeadow, Christopher; Payton, Antony; Pervjakova, Natalia; Peyrot, Wouter J.; Qian, Yong; Raitakari, Olli; Rueedi, Rico; Salvi, Erika; Schmidt, Börge; Schraut, Katharina E.; Shi, Jianxin; Smith, Albert V.; Poot, Raymond A.; Pourcain, Beate; Teumer, Alexander; Thorleifsson, Gudmar; Verweij, Niek; Vuckovic, Dragana; Wellmann, Juergen; Westra, Harm-Jan; Yang, Jingyun; Zhao, Wei; Zhu, Zhihong; Alizadeh, Behrooz Z.; Amin, Najaf; Bakshi, Andrew; Baumeister, Sebastian E.; Biino, Ginevra; Bønnelykke, Klaus; Boyle, Patricia A.; Campbell, Harry; Cappuccio, Francesco P.; Davies, Gail; De Neve, Jan-Emmanuel; Deloukas, Panos; Demuth, Ilja; Ding, Jun; Eibich, Peter; Eisele, Lewin; Eklund, Niina; Evans68, David M.; Faul, Jessica D.; Feitosa, Mary F.; Forstner, Andreas J.; Gandin, Ilaria; Gunnarsson, Bjarni; Halldórsson, Bjarni V.; Harris, Tamara B.; Heath, Andrew C.; Hocking, Lynne J.; Holliday, Elizabeth G.; Homuth, Georg; Horan, Michael A.; Hottenga, Jouke-Jan; de Jager, Philip L.; Joshi, Peter K.; Jugessur, Astanand; Kaakinen, Marika A.; Kähönen, Mika; Kanoni, Stavroula; Keltigangas-Järvinen, Liisa; Kiemeney, Lambertus A.L.M.; Kolcic, Ivana; Koskinen, Seppo; Kraja, Aldi T.; Kroh, Martin; Kutalik, Zoltan; Latvala, Antti; Launer, Lenore J.; Lebreton, Maël P.; Levinson, Douglas F.; Lichtenstein, Paul; Lichtner, Peter; Liewald, David C.M.; Loukola, Anu; Madden, Pamela A.; Mägi, Reedik; Mäki-Opas, Tomi; Marioni, Riccardo E.; Marques-Vidal, Pedro; Meddens, Gerardus A.; McMahon, George; Meisinger, Christa; Meitinger, Thomas; Milaneschi, Yusplitri; Milani, Lili; Montgomery, Grant W.; Myhre, Ronny; Nelson, Christopher P.; Nyholt, Dale R.; Ollier, William E.R.; Palotie, Aarno; Paternoster, Lavinia; Pedersen, Nancy L.; Petrovic, Katja E.; Porteous, David J.; Räikkönen, Katri; Ring, Susan M.; Robino, Antonietta; Rostapshova, Olga; Rudan, Igor; Rustichini, Aldo; Salomaa, Veikko; Sanders, Alan R.; Sarin, Antti-Pekka; Schmidt, Helena; Scott, Rodney J.; Smith, Blair H.; Smith, Jennifer A.; Staessen, Jan A.; Steinhagen-Thiessen, Elisabeth; Strauch, Konstantin; Terracciano, Antonio; Tobin, Martin D.; Ulivi, Sheila; Vaccargiu, Simona; Quaye, Lydia; van Rooij, Frank J.A.; Venturini, Cristina; Vinkhuyzen, Anna A.E.; Völker, Uwe; Völzke, Henry; Vonk, Judith M.; Vozzi, Diego; Waage, Johannes; Ware, Erin B.; Willemsen, Gonneke; Attia, John R.; Bennett, David A.; Berger, Klaus; Bertram, Lars; Bisgaard, Hans; Boomsma, Dorret I.; Borecki, Ingrid B.; Bultmann, Ute; Chabris, Christopher F.; Cucca, Francesco; Cusi, Daniele; Deary, Ian J.; Dedoussis, George V.; van Duijn, Cornelia M.; Eriksson, Johan G.; Franke, Barbara; Franke, Lude; Gasparini, Paolo; Gejman, Pablo V.; Gieger, Christian; Grabe, Hans-Jörgen; Gratten, Jacob; Groenen, Patrick J.F.; Gudnason, Vilmundur; van der Harst, Pim; Hayward, Caroline; Hinds, David A.; Hoffmann, Wolfgang; Hyppönen, Elina; Iacono, William G.; Jacobsson, Bo; Järvelin, Marjo-Riitta; Jöckel, Karl-Heinz; Kaprio, Jaakko; Kardia, Sharon L.R.; Lehtimäki, Terho; Lehrer, Steven F.; Magnusson, Patrik K.E.; Martin, Nicholas G.; McGue, Matt; Metspalu, Andres; Pendleton, Neil; Penninx, Brenda W.J.H.; Perola, Markus; Pirastu, Nicola; Pirastu, Mario; Polasek, Ozren; Posthuma, Danielle; Power, Christine; Province, Michael A.; Samani, Nilesh J.; Schlessinger, David; Schmidt, Reinhold; Sørensen, Thorkild I.A.; Spector, Tim D.; Stefansson, Kari; Thorsteinsdottir, Unnur; Thurik, A. Roy; Timpson, Nicholas J.; Tiemeier, Henning; Tung, Joyce Y.; Uitterlinden, André G.; Vitart, Veronique; Vollenweider, Peter; Weir, David R.; Wilson, James F.; Wright, Alan F.; Conley, Dalton C.; Krueger, Robert F.; Smith, George Davey; Hofman, Albert; Laibson, David I.; Medland, Sarah E.; Meyer, Michelle N.; Yang, Jian; Johannesson, Magnus; Visscher, Peter M.; Esko, Tõnu; Koellinger, Philipp D.; Cesarini, David; Benjamin, Daniel J.

    2016-01-01

    Summary Educational attainment (EA) is strongly influenced by social and other environmental factors, but genetic factors are also estimated to account for at least 20% of the variation across individuals1. We report the results of a genome-wide association study (GWAS) for EA that extends our earlier discovery sample1,2 of 101,069 individuals to 293,723 individuals, and a replication in an independent sample of 111,349 individuals from the UK Biobank. We now identify 74 genome-wide significant loci associated with number of years of schooling completed. Single-nucleotide polymorphisms (SNPs) associated with educational attainment are disproportionately found in genomic regions regulating gene expression in the fetal brain. Candidate genes are preferentially expressed in neural tissue, especially during the prenatal period, and enriched for biological pathways involved in neural development. Our findings demonstrate that, even for a behavioral phenotype that is mostly environmentally determined, a well-powered GWAS identifies replicable associated genetic variants that suggest biologically relevant pathways. Because EA is measured in large numbers of individuals, it will continue to be useful as a proxy phenotype in efforts to characterize the genetic influences of related phenotypes, including cognition and neuropsychiatric disease. PMID:27225129

  12. Data Mining for Identifying Novel Associations and Temporal Relationships with Charcot Foot

    Directory of Open Access Journals (Sweden)

    Michael E. Munson

    2014-01-01

    Full Text Available Introduction. Charcot foot is a rare and devastating complication of diabetes. While some risk factors are known, debate continues regarding etiology. Elucidating other associated disorders and their temporal occurrence could lead to a better understanding of its pathogenesis. We applied a large data mining approach to Charcot foot for elucidating novel associations. Methods. We conducted an association analysis using ICD-9 diagnosis codes for every patient in our health system (n=1.6 million with 41.2 million time-stamped ICD-9 codes. For the current analysis, we focused on the 388 patients with Charcot foot (ICD-9 713.5. Results. We found 710 associations, 676 (95.2% of which had a P value for the association less than 1.0×10−5 and 603 (84.9% of which had an odds ratio > 5.0. There were 111 (15.6% associations with a significant temporal relationship P<1.0×10−3. The three novel associations with the strongest temporal component were cardiac dysrhythmia, pulmonary eosinophilia, and volume depletion disorder. Conclusion. We identified novel associations with Charcot foot in the context of pathogenesis models that include neurotrophic, neurovascular, and microtraumatic factors mediated through inflammatory cytokines. Future work should focus on confirmatory analyses. These novel areas of investigation could lead to prevention or earlier diagnosis.

  13. Fine-scale mapping of the 4q24 locus identifies & pr two Independent loci associated with breast cancer risk

    NARCIS (Netherlands)

    X. Guo (Xingyi); J. Long (Jirong); C. Zeng (Chenjie); K. Michailidou (Kyriaki); M. Ghoussaini (Maya); M.K. Bolla (Manjeet); Q. Wang (Qing); R.L. Milne (Roger L.); X.-O. Shu (Xiao-Ou); Q. Cai (Qiuyin); J. Beesley (Jonathan); S. Kar (Siddhartha); I.L. Andrulis (Irene); H. Anton-Culver (Hoda); V. Arndt (Volker); M.W. Beckmann (Matthias W.); A. Beeghly-Fadiel (Alicia); J. Benítez (Javier); W.J. Blot (William); N.V. Bogdanova (Natalia); S.E. Bojesen (Stig); H. Brauch (Hiltrud); H. Brenner (Hermann); L.A. Brinton (Louise); A. Broekss (Annegien); T. Brüning (Thomas); B. Burwinkel (Barbara); H. Cai (Hui); S. Canisius (Sander); J. Chang-Claude (Jenny); J.-Y. Choi (J.); F.J. Couch (Fergus); A. Cox (Angela); S.S. Cross (Simon); K. Czene (Kamila); H. Darabi (Hatef); P. Devilee (Peter); A. Droit (Arnaud); T. Dörk (Thilo); P.A. Fasching (Peter); O. Fletcher (Olivia); H. Flyger (Henrik); F. Fostira (Florentia); V. Gaborieau (Valerie); M. García-Closas (Montserrat); G.G. Giles (Graham G.); M. Grip (Mervi); P. Guénel (Pascal); C.A. Haiman (Christopher A.); U. Hamann (Ute); J.M. Hartman (Joost); A. Hollestelle (Antoinette); J.L. Hopper (John L.); C.-N. Hsiung (Chia-Ni); H. Ito (Hidemi); A. Jakubowska (Anna); N. Johnson (Nichola); M. Kabisch (Maria); D. Kang (Daehee); S. Khan (Sofia); J.A. Knight (Julia); V-M. Kosma (Veli-Matti); D. Lambrechts (Diether); L. Le Marchand (Loic); J. Li (Jingmei); A. Lindblom (Annika); A. Lophatananon (Artitaya); J. Lubinski (Jan); A. Mannermaa (Arto); S. Manoukian (Siranoush); S. Margolin (Sara); F. Marme (Federick); K. Matsuo (Keitaro); C.A. McLean (Catriona Ann); A. Meindl (Alfons); K. Muir (Kenneth); S.L. Neuhausen (Susan); H. Nevanlinna (Heli); S. Nord (Silje); J.E. Olson (Janet); N. Orr (Nick); P. Peterlongo (Paolo); T.C. Putti (Thomas Choudary); A. Rudolph (Anja); S. Sangrajrang (Suleeporn); E.J. Sawyer (Elinor); M.K. Schmidt (Marjanka); R.K. Schmutzler (Rita); C-Y. Shen (Chen-Yang); J. Shi (Jiajun); M. Shrubsole (Martha); M.C. Southey (Melissa); A.J. Swerdlow (Anthony ); S.H. Teo (Soo Hwang); B. Thienpont (Bernard); A.E. Toland (Amanda); R.A.E.M. Tollenaar (Rob); I. Tomlinson (Ian); T. Truong (Thérèse); C.-C. Tseng (Chiu-chen); A.M.W. van den Ouweland (Ans); W. Wen (Wanqing); R. Winqvist (Robert); A. Wu (Anna); C.H. Yip (Cheng Har); M.P. Zamora (Pilar); Y. Zheng (Ying); P. Hall (Per); P.D.P. Pharoah (Paul); J. Simard (Jacques); G. Chenevix-Trench (Georgia); A.M. Dunning (Alison); D.F. Easton (Douglas F.); W. Zheng (Wei); R. Eeles (Rosalind); A.A. Al Olama (Ali Amin); Z. Kote-Jarai; S. Benlloch (Sara); A.C. Antoniou (Antonis C.); L. McGuffog (Lesley); K. Offit (Kenneth); A. Lee (Andrew); E. Dicks (Ed); C. Luccarini (Craig); D.C. Tessier (Daniel C.); F. Bacot (Francois); D. Vincent (Daniel); S. La Boissière (Sylvie); F. Robidoux (Frederic); S.F. Nielsen (Sune); J.M. Cunningham (Julie); S.A. Windebank (Sharon A.); C.A. Hilker (Christopher A.); J. Meyer (Jeffrey); M. Angelakos (Maggie); J. Maskiell (Judi); E.J. Rutgers (Emiel J.); S. Verhoef; F.B.L. Hogervorst (Frans); P. Boonyawongviroj (Prat); P. Siriwanarungsan (Pornthep); A. Schrauder (André); M. Rübner (Matthias); S. Oeser (Sonja); S. Landrith (Silke); E. Williams (Eileen); E. Ryder-Mills (Elaine); K. Sargus (Kara); N. McInerney (Niall); G. Colleran (Gabrielle); A. Rowan (Andrew); A. Jones (Angela); C. Sohn (Christof); A. Schneeweiß (Andeas); P. Bugert (Peter); N. Álvarez (Nuria); L. Bernstein (Leslie); J. Lacey (James); S. Wang (Sophia); H. Ma (Huiyan); Y. Lu (Yani); J. Clague De Hart (Jessica); D. Deapen (Dennis); R. Pinder (Rich); E. Lee (Eunjung); F.R. Schumacher (Fredrick); P. Horn-Ross (Pam); P. Reynolds (Peggy); D. Nelson (David); H. Park (Hannah); H. Ziegler (Hartwig); S. Wolf (Sonja); V. Hermann (Volker); W.-Y. Lo (Wing-Yee); C. Justenhoven (Christina); Y.-D. Ko (Yon-Dschun); C. Baisch (Christian); H.-P. Fischer (Hans-Peter); B. Pesch (Beate); S. Rabstein (Sylvia); A. Lotz (Anne); V. Harth (Volker); T. Heikkinen (Tuomas); I. Erkkilä (Irja); K. Aaltonen (Kirsimari); K. von Smitten (Karl); N.N. Antonenkova (Natalia); P. Hillemanns (Peter); H. Christiansen (Hans); E. Myöhänen (Eija); H. Kemiläinen (Helena); H. Thorne (Heather); E. Niedermayr (Eveline); D. Bowtell; G. Chenevix-Trench (Georgia); A. De Fazio (Anna); D. Gertig; A. Green; P. Webb (Penny); A. Green; P. Parsons; N. Hayward; P.M. Webb (P.); D. Whiteman; A. Fung (Annie); J. Yashiki (June); G. Peuteman (Gilian); D. Smeets (Dominiek); T. Van Brussel (Thomas); K. Corthouts (Kathleen); N. Obi (Nadia); J. Heinz (Judith); T.W. Behrens (Timothy); U. Eilber (Ursula); M. Celik (Muhabbet); T. Olchers (Til); B. Peissel (Bernard); G. Scuvera (Giulietta); D. Zaffaroni (Daniela); B. Bonnani (Bernardo); I. Feroce (Irene); A. Maniscalco (Angela); A. Rossi (Alessandra); L. Bernard (Loris); M. Tranchant (Martine); M.-F. Valois (Marie-France); A. Turgeon (Annie); L. Heguy (Lea); P.S. Yee (Phuah Sze); P. Kang (Peter); K.I. Nee (Kang In); S. Mariapun (Shivaani); Y. Sook-Yee (Yoon); D.S.C. Lee (Daphne S.C.); T.Y. Ching (Teh Yew); N.A.M. Taib (Nur Aishah Mohd); M. Otsukka (Meeri); K. Mononen (Kari); T. Selander (Teresa); N. Weerasooriya (Nayana); E.M.M. Krol-Warmerdam (Elly); J. Molenaar; J. Blom; N. Szeszenia-Dabrowska (Neonilia); B. Peplonska (Beata); W. Zatonski (Witold); P. Chao (Pei); M. Stagner (Michael); P. Bos (Petra); J. Blom (Jannet); E. Crepin (Ellen); A. Nieuwlaat (Anja); A. Heemskerk (Annette); S. Higham (Sue); H.E. Cramp (Helen); D. Connley (Daniel); S. Balasubramanian (Sabapathy); I.W. Brock (Ian); M. Kerin (Michael); N. Miller (Nicola); P. Kerbrat (Pierre); P. Arveux (Patrick); R. Le Scodan (Romuald); Y. Raoul (Yves); P. Laurent-Puig (Pierre); C. Mulot (Claire); C. Stegmaier (Christa); K. Butterbach (Katja); J.H. Karstens (Johann); D. Flesch-Janys (Dieter); P. Seibold (Petra); A. Vrieling (Alina); S. Nickels (Stefan); P. Radice (Paolo); K. Pykäs (Katri); A. Jukkola-Vuorinen (Arja); S. Kauppila (Saila); D. Conroy (Don); C. Baynes (Caroline); K. Chua (Kimberley); R. Pilarski (Robert)

    2015-01-01

    textabstractBackground: A recent association study identified a common variant (rs9790517) at 4q24 to be associated with breast cancer risk. Independent association signals and potential functional variants in this locus have not been explored. Methods: We conducted a fine-mapping analysis in 55,540

  14. Genome-wide association study identifies eight loci associated with blood pressure.

    Science.gov (United States)

    Newton-Cheh, Christopher; Johnson, Toby; Gateva, Vesela; Tobin, Martin D; Bochud, Murielle; Coin, Lachlan; Najjar, Samer S; Zhao, Jing Hua; Heath, Simon C; Eyheramendy, Susana; Papadakis, Konstantinos; Voight, Benjamin F; Scott, Laura J; Zhang, Feng; Farrall, Martin; Tanaka, Toshiko; Wallace, Chris; Chambers, John C; Khaw, Kay-Tee; Nilsson, Peter; van der Harst, Pim; Polidoro, Silvia; Grobbee, Diederick E; Onland-Moret, N Charlotte; Bots, Michiel L; Wain, Louise V; Elliott, Katherine S; Teumer, Alexander; Luan, Jian'an; Lucas, Gavin; Kuusisto, Johanna; Burton, Paul R; Hadley, David; McArdle, Wendy L; Brown, Morris; Dominiczak, Anna; Newhouse, Stephen J; Samani, Nilesh J; Webster, John; Zeggini, Eleftheria; Beckmann, Jacques S; Bergmann, Sven; Lim, Noha; Song, Kijoung; Vollenweider, Peter; Waeber, Gerard; Waterworth, Dawn M; Yuan, Xin; Groop, Leif; Orho-Melander, Marju; Allione, Alessandra; Di Gregorio, Alessandra; Guarrera, Simonetta; Panico, Salvatore; Ricceri, Fulvio; Romanazzi, Valeria; Sacerdote, Carlotta; Vineis, Paolo; Barroso, Inês; Sandhu, Manjinder S; Luben, Robert N; Crawford, Gabriel J; Jousilahti, Pekka; Perola, Markus; Boehnke, Michael; Bonnycastle, Lori L; Collins, Francis S; Jackson, Anne U; Mohlke, Karen L; Stringham, Heather M; Valle, Timo T; Willer, Cristen J; Bergman, Richard N; Morken, Mario A; Döring, Angela; Gieger, Christian; Illig, Thomas; Meitinger, Thomas; Org, Elin; Pfeufer, Arne; Wichmann, H Erich; Kathiresan, Sekar; Marrugat, Jaume; O'Donnell, Christopher J; Schwartz, Stephen M; Siscovick, David S; Subirana, Isaac; Freimer, Nelson B; Hartikainen, Anna-Liisa; McCarthy, Mark I; O'Reilly, Paul F; Peltonen, Leena; Pouta, Anneli; de Jong, Paul E; Snieder, Harold; van Gilst, Wiek H; Clarke, Robert; Goel, Anuj; Hamsten, Anders; Peden, John F; Seedorf, Udo; Syvänen, Ann-Christine; Tognoni, Giovanni; Lakatta, Edward G; Sanna, Serena; Scheet, Paul; Schlessinger, David; Scuteri, Angelo; Dörr, Marcus; Ernst, Florian; Felix, Stephan B; Homuth, Georg; Lorbeer, Roberto; Reffelmann, Thorsten; Rettig, Rainer; Völker, Uwe; Galan, Pilar; Gut, Ivo G; Hercberg, Serge; Lathrop, G Mark; Zelenika, Diana; Deloukas, Panos; Soranzo, Nicole; Williams, Frances M; Zhai, Guangju; Salomaa, Veikko; Laakso, Markku; Elosua, Roberto; Forouhi, Nita G; Völzke, Henry; Uiterwaal, Cuno S; van der Schouw, Yvonne T; Numans, Mattijs E; Matullo, Giuseppe; Navis, Gerjan; Berglund, Göran; Bingham, Sheila A; Kooner, Jaspal S; Connell, John M; Bandinelli, Stefania; Ferrucci, Luigi; Watkins, Hugh; Spector, Tim D; Tuomilehto, Jaakko; Altshuler, David; Strachan, David P; Laan, Maris; Meneton, Pierre; Wareham, Nicholas J; Uda, Manuela; Jarvelin, Marjo-Riitta; Mooser, Vincent; Melander, Olle; Loos, Ruth J F; Elliott, Paul; Abecasis, Gonçalo R; Caulfield, Mark; Munroe, Patricia B

    2009-06-01

    Elevated blood pressure is a common, heritable cause of cardiovascular disease worldwide. To date, identification of common genetic variants influencing blood pressure has proven challenging. We tested 2.5 million genotyped and imputed SNPs for association with systolic and diastolic blood pressure in 34,433 subjects of European ancestry from the Global BPgen consortium and followed up findings with direct genotyping (N ≤ 71,225 European ancestry, N ≤ 12,889 Indian Asian ancestry) and in silico comparison (CHARGE consortium, N = 29,136). We identified association between systolic or diastolic blood pressure and common variants in eight regions near the CYP17A1 (P = 7 × 10(-24)), CYP1A2 (P = 1 × 10(-23)), FGF5 (P = 1 × 10(-21)), SH2B3 (P = 3 × 10(-18)), MTHFR (P = 2 × 10(-13)), c10orf107 (P = 1 × 10(-9)), ZNF652 (P = 5 × 10(-9)) and PLCD3 (P = 1 × 10(-8)) genes. All variants associated with continuous blood pressure were associated with dichotomous hypertension. These associations between common variants and blood pressure and hypertension offer mechanistic insights into the regulation of blood pressure and may point to novel targets for interventions to prevent cardiovascular disease.

  15. Identifying clinical course patterns in SMS data using cluster analysis

    DEFF Research Database (Denmark)

    Kent, Peter; Kongsted, Alice

    2012-01-01

    ABSTRACT: BACKGROUND: Recently, there has been interest in using the short message service (SMS or text messaging), to gather frequent information on the clinical course of individual patients. One possible role for identifying clinical course patterns is to assist in exploring clinically importa...... of cluster analysis. More research is needed, especially head-to-head studies, to identify which technique is best to use under what circumstances.......ABSTRACT: BACKGROUND: Recently, there has been interest in using the short message service (SMS or text messaging), to gather frequent information on the clinical course of individual patients. One possible role for identifying clinical course patterns is to assist in exploring clinically important...... by spline analysis. However, cluster analysis of SMS data in its original untransformed form may be simpler and offer other advantages. Therefore, the aim of this study was to determine whether cluster analysis could be used for identifying clinical course patterns distinct from the pattern of the whole...

  16. Large-scale association analyses identifies 13 new susceptibility loci for coronary artery disease

    Science.gov (United States)

    Schunkert, Heribert; König, Inke R.; Kathiresan, Sekar; Reilly, Muredach P.; Assimes, Themistocles L.; Holm, Hilma; Preuss, Michael; Stewart, Alexandre F. R.; Barbalic, Maja; Gieger, Christian; Absher, Devin; Aherrahrou, Zouhair; Allayee, Hooman; Altshuler, David; Anand, Sonia S.; Andersen, Karl; Anderson, Jeffrey L.; Ardissino, Diego; Ball, Stephen G.; Balmforth, Anthony J.; Barnes, Timothy A.; Becker, Diane M.; Becker, Lewis C.; Berger, Klaus; Bis, Joshua C.; Boekholdt, S. Matthijs; Boerwinkle, Eric; Braund, Peter S.; Brown, Morris J.; Burnett, Mary Susan; Buysschaert, Ian; Carlquist, Cardiogenics, John F.; Chen, Li; Cichon, Sven; Codd, Veryan; Davies, Robert W.; Dedoussis, George; Dehghan, Abbas; Demissie, Serkalem; Devaney, Joseph M.; Do, Ron; Doering, Angela; Eifert, Sandra; El Mokhtari, Nour Eddine; Ellis, Stephen G.; Elosua, Roberto; Engert, James C.; Epstein, Stephen E.; Faire, Ulf de; Fischer, Marcus; Folsom, Aaron R.; Freyer, Jennifer; Gigante, Bruna; Girelli, Domenico; Gretarsdottir, Solveig; Gudnason, Vilmundur; Gulcher, Jeffrey R.; Halperin, Eran; Hammond, Naomi; Hazen, Stanley L.; Hofman, Albert; Horne, Benjamin D.; Illig, Thomas; Iribarren, Carlos; Jones, Gregory T.; Jukema, J.Wouter; Kaiser, Michael A.; Kaplan, Lee M.; Kastelein, John J.P.; Khaw, Kay-Tee; Knowles, Joshua W.; Kolovou, Genovefa; Kong, Augustine; Laaksonen, Reijo; Lambrechts, Diether; Leander, Karin; Lettre, Guillaume; Li, Mingyao; Lieb, Wolfgang; Linsel-Nitschke, Patrick; Loley, Christina; Lotery, Andrew J.; Mannucci, Pier M.; Maouche, Seraya; Martinelli, Nicola; McKeown, Pascal P.; Meisinger, Christa; Meitinger, Thomas; Melander, Olle; Merlini, Pier Angelica; Mooser, Vincent; Morgan, Thomas; Mühleisen, Thomas W.; Muhlestein, Joseph B.; Münzel, Thomas; Musunuru, Kiran; Nahrstaedt, Janja; Nelson, Christopher P.; Nöthen, Markus M.; Olivieri, Oliviero; Patel, Riyaz S.; Patterson, Chris C.; Peters, Annette; Peyvandi, Flora; Qu, Liming; Quyyumi, Arshed A.; Rader, Daniel J.; Rallidis, Loukianos S.; Rice, Catherine; Rosendaal, Frits R.; Rubin, Diana; Salomaa, Veikko; Sampietro, M. Lourdes; Sandhu, Manj S.; Schadt, Eric; Schäfer, Arne; Schillert, Arne; Schreiber, Stefan; Schrezenmeir, Jürgen; Schwartz, Stephen M.; Siscovick, David S.; Sivananthan, Mohan; Sivapalaratnam, Suthesh; Smith, Albert; Smith, Tamara B.; Snoep, Jaapjan D.; Soranzo, Nicole; Spertus, John A.; Stark, Klaus; Stirrups, Kathy; Stoll, Monika; Tang, W. H. Wilson; Tennstedt, Stephanie; Thorgeirsson, Gudmundur; Thorleifsson, Gudmar; Tomaszewski, Maciej; Uitterlinden, Andre G.; van Rij, Andre M.; Voight, Benjamin F.; Wareham, Nick J.; Wells, George A.; Wichmann, H.-Erich; Wild, Philipp S.; Willenborg, Christina; Witteman, Jaqueline C. M.; Wright, Benjamin J.; Ye, Shu; Zeller, Tanja; Ziegler, Andreas; Cambien, Francois; Goodall, Alison H.; Cupples, L. Adrienne; Quertermous, Thomas; März, Winfried; Hengstenberg, Christian; Blankenberg, Stefan; Ouwehand, Willem H.; Hall, Alistair S.; Deloukas, Panos; Thompson, John R.; Stefansson, Kari; Roberts, Robert; Thorsteinsdottir, Unnur; O’Donnell, Christopher J.; McPherson, Ruth; Erdmann, Jeanette; Samani, Nilesh J.

    2011-01-01

    We performed a meta-analysis of 14 genome-wide association studies of coronary artery disease (CAD) comprising 22,233 cases and 64,762 controls of European descent, followed by genotyping of top association signals in 60,738 additional individuals. This genomic analysis identified 13 novel loci harboring one or more SNPs that were associated with CAD at P<5×10−8 and confirmed the association of 10 of 12 previously reported CAD loci. The 13 novel loci displayed risk allele frequencies ranging from 0.13 to 0.91 and were associated with a 6 to 17 percent increase in the risk of CAD per allele. Notably, only three of the novel loci displayed significant association with traditional CAD risk factors, while the majority lie in gene regions not previously implicated in the pathogenesis of CAD. Finally, five of the novel CAD risk loci appear to have pleiotropic effects, showing strong association with various other human diseases or traits. PMID:21378990

  17. Genome-wide association analysis in East Asians identifies breast cancer susceptibility loci at 1q32.1, 5q14.3 and 15q26.1

    Science.gov (United States)

    Cai, Qiuyin; Zhang, Ben; Sung, Hyuna; Low, Siew-Kee; Kweon, Sun-Seog; Lu, Wei; Shi, Jiajun; Long, Jirong; Wen, Wanqing; Choi, Ji-Yeob; Noh, Dong-Young; Shen, Chen-Yang; Matsuo, Keitaro; Teo, Soo-Hwang; Kim, Mi Kyung; Khoo, Ui Soon; Iwasaki, Motoki; Hartman, Mikael; Takahashi, Atsushi; Ashikawa, Kyota; Matsuda, Koichi; Shin, Min-Ho; Park, Min Ho; Zheng, Ying; Xiang, Yong-Bing; Ji, Bu-Tian; Park, Sue K.; Wu, Pei-Ei; Hsiung, Chia-Ni; Ito, Hidemi; Kasuga, Yoshio; Kang, Peter; Mariapun, Shivaani; Ahn, Sei Hyun; Kang, Han Sung; Chan, Kelvin Y. K.; Man, Ellen P. S.; Iwata, Hiroji; Tsugane, Shoichiro; Miao, Hui; Liao, Jiemin; Nakamura, Yusuke; Kubo, Michiaki; Delahanty, Ryan J.; Zhang, Yanfeng; Li, Bingshan; Li, Chun; Gao, Yu-Tang; Shu, Xiao-Ou; Kang, Daehee; Zheng, Wei

    2014-01-01

    In a three-stage genome-wide association study among East Asian women including 22,780 cases and 24,181 controls, we identified three novel genetic loci associated with breast cancer risk, including rs4951011 at 1q32.1 (in intron 2 of the ZC3H11A gene, P = 8.82 × 10−9), rs10474352 at 5q14.3 (near the ARRDC3 gene, P = 1.67 × 10−9), and rs2290203 at 15q26.1 (in intron 14 of the PRC1 gene, P = 4.25 × 10−8). These associations were replicated in European-ancestry populations including 16,003 cases and 41,335 controls (P = 0.030, 0.004, and 0.010, respectively). Data from the ENCODE project suggest that variants rs4951011 and rs10474352 may be located in an enhancer region and transcription factor binding sites, respectively. This study provides additional insights into the genetics and biology of breast cancer. PMID:25038754

  18. Genome-wide association study of blood pressure extremes identifies variant near UMOD associated with hypertension.

    Directory of Open Access Journals (Sweden)

    Sandosh Padmanabhan

    2010-10-01

    Full Text Available Hypertension is a heritable and major contributor to the global burden of disease. The sum of rare and common genetic variants robustly identified so far explain only 1%-2% of the population variation in BP and hypertension. This suggests the existence of more undiscovered common variants. We conducted a genome-wide association study in 1,621 hypertensive cases and 1,699 controls and follow-up validation analyses in 19,845 cases and 16,541 controls using an extreme case-control design. We identified a locus on chromosome 16 in the 5' region of Uromodulin (UMOD; rs13333226, combined P value of 3.6 × 10⁻¹¹. The minor G allele is associated with a lower risk of hypertension (OR [95%CI]: 0.87 [0.84-0.91], reduced urinary uromodulin excretion, better renal function; and each copy of the G allele is associated with a 7.7% reduction in risk of CVD events after adjusting for age, sex, BMI, and smoking status (H.R. = 0.923, 95% CI 0.860-0.991; p = 0.027. In a subset of 13,446 individuals with estimated glomerular filtration rate (eGFR measurements, we show that rs13333226 is independently associated with hypertension (unadjusted for eGFR: 0.89 [0.83-0.96], p = 0.004; after eGFR adjustment: 0.89 [0.83-0.96], p = 0.003. In clinical functional studies, we also consistently show the minor G allele is associated with lower urinary uromodulin excretion. The exclusive expression of uromodulin in the thick portion of the ascending limb of Henle suggests a putative role of this variant in hypertension through an effect on sodium homeostasis. The newly discovered UMOD locus for hypertension has the potential to give new insights into the role of uromodulin in BP regulation and to identify novel drugable targets for reducing cardiovascular risk.

  19. The association of comorbidities, utilization and costs for patients identified with low back pain

    Directory of Open Access Journals (Sweden)

    Ritzwoller Debra P

    2006-09-01

    Full Text Available Abstract Background Existing studies have examined the high prevalence of LBP along with the high treatment costs of patients with low back pain (LBP. Various factors have been shown to be correlated or predictive of chronic or episodic LBP including the characteristics of the initial episode, pain, comorbid conditions, psychosocial issues, and opiate use. This study replicates and extends earlier studies by examining the association of patient characteristics including baseline comorbidities with patterns of healthcare service use and cost. Methods This is a retrospective analysis of measures of comorbidities, healthcare use, and cost for patients identified with LBP, stratified by the number of LBP episodes. Administrative data associated with outpatient and hospital based care for the years 1996 through 2001, were used to identify adult patients with LBP. LBP patients continuously enrolled for 12 months prior and 24 months after their initial LBP event were included in the study. A LBP episode was identified as the number of 30-day periods where a patient had one or more healthcare events with a diagnosis consistent with LBP. Chi-square and multivariate regression analyses were employed to estimate the variation in utilization and costs. Results Of 16,567 patients enrolled, 67% were identified with only one LBP episode and 4.5% had ≥6. The prevalence of comorbidities, analgesic use, and healthcare service use, varied by the number of back pain episodes. Diabetes, rheumatoid arthritis, anxiety, psychotic illness, depression, use of opiates and NSAIDs were associated with significant incremental increases in costs (P Conclusion Physical and mental health co-morbidities and measures of analgesic use were associated with chronicity, healthcare utilization and costs. Given the association of comorbidities and cost for patients with LBP, management approaches that are effective across chronic illnesses may prove to be beneficial for high cost

  20. Exploration of methods to identify polymorphisms associated with variation in DNA repair capacity phenotypes

    Energy Technology Data Exchange (ETDEWEB)

    Jones, I M; Thomas, C B; Xi, T; Mohrenweiser, H W; Nelson, D O

    2006-07-03

    Elucidating the relationship between polymorphic sequences and risk of common disease is a challenge. For example, although it is clear that variation in DNA repair genes is associated with familial cancer, aging and neurological disease, progress toward identifying polymorphisms associated with elevated risk of sporadic disease has been slow. This is partly due to the complexity of the genetic variation, the existence of large numbers of mostly low frequency variants and the contribution of many genes to variation in susceptibility. There has been limited development of methods to find associations between genotypes having many polymorphisms and pathway function or health outcome. We have explored several statistical methods for identifying polymorphisms associated with variation in DNA repair phenotypes. The model system used was 80 cell lines that had been resequenced to identify variation; 191 single nucleotide substitution polymorphisms (SNPs) are included, of which 172 are in 31 base excision repair pathway genes, 19 in 5 anti-oxidation genes, and DNA repair phenotypes based on single strand breaks measured by the alkaline Comet assay. Univariate analyses were of limited value in identifying SNPs associated with phenotype variation. Of the multivariable model selection methods tested: the easiest that provided reduced error of prediction of phenotype was simple counting of the variant alleles predicted to encode proteins with reduced activity, which led to a genotype including 52 SNPs; the best and most parsimonious model was achieved using a two-step analysis without regard to potential functional relevance: first SNPs were ranked by importance determined by Random Forests Regression (RFR), followed by cross-validation in a second round of RFR modeling that included ever more SNPs in declining order of importance. With this approach 6 SNPs were found to minimize prediction error. The results should encourage research into utilization of multivariate

  1. Fine-Mapping of Common Genetic Variants Associated with Colorectal Tumor Risk Identified Potential Functional Variants.

    Directory of Open Access Journals (Sweden)

    Mengmeng Du

    Full Text Available Genome-wide association studies (GWAS have identified many common single nucleotide polymorphisms (SNPs associated with colorectal cancer risk. These SNPs may tag correlated variants with biological importance. Fine-mapping around GWAS loci can facilitate detection of functional candidates and additional independent risk variants. We analyzed 11,900 cases and 14,311 controls in the Genetics and Epidemiology of Colorectal Cancer Consortium and the Colon Cancer Family Registry. To fine-map genomic regions containing all known common risk variants, we imputed high-density genetic data from the 1000 Genomes Project. We tested single-variant associations with colorectal tumor risk for all variants spanning genomic regions 250-kb upstream or downstream of 31 GWAS-identified SNPs (index SNPs. We queried the University of California, Santa Cruz Genome Browser to examine evidence for biological function. Index SNPs did not show the strongest association signals with colorectal tumor risk in their respective genomic regions. Bioinformatics analysis of SNPs showing smaller P-values in each region revealed 21 functional candidates in 12 loci (5q31.1, 8q24, 11q13.4, 11q23, 12p13.32, 12q24.21, 14q22.2, 15q13, 18q21, 19q13.1, 20p12.3, and 20q13.33. We did not observe evidence of additional independent association signals in GWAS-identified regions. Our results support the utility of integrating data from comprehensive fine-mapping with expanding publicly available genomic databases to help clarify GWAS associations and identify functional candidates that warrant more onerous laboratory follow-up. Such efforts may aid the eventual discovery of disease-causing variant(s.

  2. Fine-Mapping of Common Genetic Variants Associated with Colorectal Tumor Risk Identified Potential Functional Variants

    Science.gov (United States)

    Gala, Manish; Abecasis, Goncalo; Bezieau, Stephane; Brenner, Hermann; Butterbach, Katja; Caan, Bette J.; Carlson, Christopher S.; Casey, Graham; Chang-Claude, Jenny; Conti, David V.; Curtis, Keith R.; Duggan, David; Gallinger, Steven; Haile, Robert W.; Harrison, Tabitha A.; Hayes, Richard B.; Hoffmeister, Michael; Hopper, John L.; Hudson, Thomas J.; Jenkins, Mark A.; Küry, Sébastien; Le Marchand, Loic; Leal, Suzanne M.; Newcomb, Polly A.; Nickerson, Deborah A.; Potter, John D.; Schoen, Robert E.; Schumacher, Fredrick R.; Seminara, Daniela; Slattery, Martha L.; Hsu, Li; Chan, Andrew T.; White, Emily; Berndt, Sonja I.; Peters, Ulrike

    2016-01-01

    Genome-wide association studies (GWAS) have identified many common single nucleotide polymorphisms (SNPs) associated with colorectal cancer risk. These SNPs may tag correlated variants with biological importance. Fine-mapping around GWAS loci can facilitate detection of functional candidates and additional independent risk variants. We analyzed 11,900 cases and 14,311 controls in the Genetics and Epidemiology of Colorectal Cancer Consortium and the Colon Cancer Family Registry. To fine-map genomic regions containing all known common risk variants, we imputed high-density genetic data from the 1000 Genomes Project. We tested single-variant associations with colorectal tumor risk for all variants spanning genomic regions 250-kb upstream or downstream of 31 GWAS-identified SNPs (index SNPs). We queried the University of California, Santa Cruz Genome Browser to examine evidence for biological function. Index SNPs did not show the strongest association signals with colorectal tumor risk in their respective genomic regions. Bioinformatics analysis of SNPs showing smaller P-values in each region revealed 21 functional candidates in 12 loci (5q31.1, 8q24, 11q13.4, 11q23, 12p13.32, 12q24.21, 14q22.2, 15q13, 18q21, 19q13.1, 20p12.3, and 20q13.33). We did not observe evidence of additional independent association signals in GWAS-identified regions. Our results support the utility of integrating data from comprehensive fine-mapping with expanding publicly available genomic databases to help clarify GWAS associations and identify functional candidates that warrant more onerous laboratory follow-up. Such efforts may aid the eventual discovery of disease-causing variant(s). PMID:27379672

  3. Identifying dietary patterns and associated health-related lifestyle factors in the adult Danish population

    DEFF Research Database (Denmark)

    Knudsen, Vibeke Kildegaard; Matthiessen, Jeppe; Biltoft-Jensen, Anja Pia

    2014-01-01

    Background/objectives:To identify and describe dietary patterns in Danish adults and to examine which demographic and health-related lifestyle factors are associated with dietary patterns.Subjects/methods:Data derived from the Danish national survey of diet and physical activity collected in 2003......-2008 and included 1569 men and 1785 women. Diet was assessed by a 7-day pre-coded food diary. Information on age, gender, weight, height, physical activity, smoking habits, educational level and attitudes towards healthy eating habits was derived from face-to-face interviews. Principal component analysis...... was applied to explore dietary patterns. Associations with lifestyle factors were examined by means of multiple regression analyses.Results:Three major dietary patterns were identified: a 'traditional' pattern correlated with intake of rye bread, white bread, fat on bread, cheese, jam, cold meat, minced meat...

  4. Fine-scale mapping of the 4q24 locus identifies two independent loci associated with breast cancer risk

    DEFF Research Database (Denmark)

    Guo, Xingyi; Long, Jirong; Zeng, Chenjie

    2015-01-01

    BACKGROUND: A recent association study identified a common variant (rs9790517) at 4q24 to be associated with breast cancer risk. Independent association signals and potential functional variants in this locus have not been explored. METHODS: We conducted a fine-mapping analysis in 55,540 breast...... was associated with level of expression of TET2 in breast normal and tumor tissue. CONCLUSION: Our study identified two independent association signals at 4q24 in relation to breast cancer risk and suggested that observed association in this locus may be mediated through the regulation of TET2. IMPACT: Fine...... cancer cases and 51,168 controls from the Breast Cancer Association Consortium. RESULTS: Conditional analyses identified two independent association signals among women of European ancestry, represented by rs9790517 [conditional P = 2.51 × 10(-4); OR, 1.04; 95% confidence interval (CI), 1.02-1.07] and rs...

  5. Complex Multi-Block Analysis identifies new immunologic and genetic disease progression patterns associated with the Residual β-Cell function 1 year after diagnosis of Type 1 Diabetes

    DEFF Research Database (Denmark)

    Andersen, Marie Louise Max; Rasmussen, Morten Arendt; Pörksen, Sven;

    2013-01-01

    The purpose of the present study is to explore the progression of type 1 diabetes (T1D) in Danish children 12 months after diagnosis using Latent Factor Modelling. We include three data blocks of dynamic paraclinical biomarkers, baseline clinical characteristics and genetic profiles of diabetes...... related SNPs in the analyses. This method identified a model explaining 21.6% of the total variation in the data set. The model consists of two components: (1) A pattern of declining residual β-cell function positively associated with young age, presence of diabetic ketoacidosis and long duration...... of disease symptoms (P = 0.0004), and with risk alleles of WFS1, CDKN2A/2B and RNLS (P = 0.006). (2) A second pattern of high ZnT8 autoantibody levels and low postprandial glucagon levels associated with risk alleles of IFIH1, TCF2, TAF5L, IL2RA and PTPN2 and protective alleles of ERBB3 gene (P = 0...

  6. Novel LanT associated lantibiotic clusters identified by genome database mining.

    Directory of Open Access Journals (Sweden)

    Mangal Singh

    Full Text Available BACKGROUND: Frequent use of antibiotics has led to the emergence of antibiotic resistance in bacteria. Lantibiotic compounds are ribosomally synthesized antimicrobial peptides against which bacteria are not able to produce resistance, hence making them a good alternative to antibiotics. Nisin is the oldest and the most widely used lantibiotic, in food preservation, without having developed any significant resistance against it. Having their antimicrobial potential and a limited number, there is a need to identify novel lantibiotics. METHODOLOGY/FINDINGS: Identification of novel lantibiotic biosynthetic clusters from an ever increasing database of bacterial genomes, can provide a major lead in this direction. In order to achieve this, a strategy was adopted to identify novel lantibiotic biosynthetic clusters by screening the sequenced genomes for LanT homolog, which is a conserved lantibiotic transporter specific to type IB clusters. This strategy resulted in identification of 54 bacterial strains containing the LanT homologs, which are not the known lantibiotic producers. Of these, 24 strains were subjected to a detailed bioinformatic analysis to identify genes encoding for precursor peptides, modification enzyme, immunity and quorum sensing proteins. Eight clusters having two LanM determinants, similar to haloduracin and lichenicidin were identified, along with 13 clusters having a single LanM determinant as in mersacidin biosynthetic cluster. Besides these, orphan LanT homologs were also identified which might be associated with novel bacteriocins, encoded somewhere else in the genome. Three identified gene clusters had a C39 domain containing LanT transporter, associated with the LanBC proteins and double glycine type precursor peptides, the only known example of such a cluster is that of salivaricin. CONCLUSION: This study led to the identification of 8 novel putative two-component lantibiotic clusters along with 13 having a single LanM and

  7. Genome-wide association study identified a narrow chromosome 1 region associated with chicken growth traits.

    Directory of Open Access Journals (Sweden)

    Liang Xie

    Full Text Available Chicken growth traits are important economic traits in broilers. A large number of studies are available on finding genetic factors affecting chicken growth. However, most of these studies identified chromosome regions containing putative quantitative trait loci and finding causal mutations is still a challenge. In this genome-wide association study (GWAS, we identified a narrow 1.5 Mb region (173.5-175 Mb of chicken (Gallus gallus chromosome (GGA 1 to be strongly associated with chicken growth using 47,678 SNPs and 489 F2 chickens. The growth traits included aggregate body weight (BW at 0-90 d of age measured weekly, biweekly average daily gains (ADG derived from weekly body weight, and breast muscle weight (BMW, leg muscle weight (LMW and wing weight (WW at 90 d of age. Five SNPs in the 1.5 Mb KPNA3-FOXO1A region at GGA1 had the highest significant effects for all growth traits in this study, including a SNP at 8.9 Kb upstream of FOXO1A for BW at 22-48 d and 70 d, a SNP at 1.9 Kb downstream of FOXO1A for WW, a SNP at 20.9 Kb downstream of ENSGALG00000022732 for ADG at 29-42 d, a SNP in INTS6 for BW at 90 d, and a SNP in KPNA3 for BMW and LMW. The 1.5 Mb KPNA3-FOXO1A region contained two microRNA genes that could bind to messenger ribonucleic acid (mRNA of IGF1, FOXO1A and KPNA3. It was further indicated that the 1.5 Mb GGA1 region had the strongest effects on chicken growth during 22-42 d.

  8. Discriminating isogenic cancer cells and identifying altered unsaturated fatty acid content as associated with metastasis status, using k-means clustering and partial least squares-discriminant analysis of Raman maps

    DEFF Research Database (Denmark)

    Hedegaard, Martin; Krafft, Christoph; Ditzel, Henrik J;

    2010-01-01

    discarded as they showed much smaller differences between the two cell lines compared to cytoplasm spectra. Partial least squares-discriminant analysis (PLS-DA) was applied to distinguish the two cell lines. A cross-validated PLS-DA resulted in 92% correctly classified samples. Spectral differences were...... assigned to a higher unsaturated fatty acid content in the metastatic vs nonmetastatic cell line. Our study demonstrates the unique ability of Raman spectroscopy to distinguish minute differences at the subcellular level and yield new biological information. Our study is the first to demonstrate...... the association between polyunsaturated fatty acid content and metastatic ability in this unique cell model system and is in agreement with previous studies on this topic....

  9. Genome-wide Association Studies Identify Genetic Loci Associated With Albuminuria in Diabetes

    Science.gov (United States)

    Tin, Adrienne; Sorice, Rossella; Gorski, Mathias; Yeo, Nan Cher; Chu, Audrey Y.; Li, Man; Li, Yong; Mijatovic, Vladan; Ko, Yi-An; Taliun, Daniel; Luciani, Alessandro; Chen, Ming-Huei; Yang, Qiong; Foster, Meredith C.; Olden, Matthias; Hiraki, Linda T.; Tayo, Bamidele O.; Fuchsberger, Christian; Dieffenbach, Aida Karina; Shuldiner, Alan R.; Smith, Albert V.; Zappa, Allison M.; Lupo, Antonio; Kollerits, Barbara; Ponte, Belen; Stengel, Bénédicte; Krämer, Bernhard K.; Paulweber, Bernhard; Mitchell, Braxton D.; Hayward, Caroline; Helmer, Catherine; Meisinger, Christa; Gieger, Christian; Shaffer, Christian M.; Müller, Christian; Langenberg, Claudia; Ackermann, Daniel; Siscovick, David; Boerwinkle, Eric; Kronenberg, Florian; Ehret, Georg B.; Homuth, Georg; Waeber, Gerard; Navis, Gerjan; Gambaro, Giovanni; Malerba, Giovanni; Eiriksdottir, Gudny; Li, Guo; Wichmann, H. Erich; Grallert, Harald; Wallaschofski, Henri; Völzke, Henry; Brenner, Herrmann; Kramer, Holly; Leach, I. Mateo; Rudan, Igor; Hillege, Hans L.; Beckmann, Jacques S.; Lambert, Jean Charles; Luan, Jian'an; Zhao, Jing Hua; Chalmers, John; Coresh, Josef; Denny, Joshua C.; Butterbach, Katja; Launer, Lenore J.; Ferrucci, Luigi; Kedenko, Lyudmyla; Haun, Margot; Metzger, Marie; Woodward, Mark; Hoffman, Matthew J.; Nauck, Matthias; Waldenberger, Melanie; Pruijm, Menno; Bochud, Murielle; Rheinberger, Myriam; Verweij, Niek; Wareham, Nicholas J.; Endlich, Nicole; Soranzo, Nicole; Polasek, Ozren; van der Harst, Pim; Pramstaller, Peter Paul; Vollenweider, Peter; Wild, Philipp S.; Gansevoort, Ron T.; Rettig, Rainer; Biffar, Reiner; Carroll, Robert J.; Katz, Ronit; Loos, Ruth J.F.; Hwang, Shih-Jen; Coassin, Stefan; Bergmann, Sven; Rosas, Sylvia E.; Stracke, Sylvia; Harris, Tamara B.; Corre, Tanguy; Zeller, Tanja; Illig, Thomas; Aspelund, Thor; Tanaka, Toshiko; Lendeckel, Uwe; Völker, Uwe; Gudnason, Vilmundur; Chouraki, Vincent; Koenig, Wolfgang; Kutalik, Zoltan; O'Connell, Jeffrey R.; Parsa, Afshin; Heid, Iris M.; Paterson, Andrew D.; de Boer, Ian H.; Devuyst, Olivier; Lazar, Jozef; Endlich, Karlhans; Susztak, Katalin; Tremblay, Johanne; Hamet, Pavel; Jacob, Howard J.; Böger, Carsten A.

    2016-01-01

    Elevated concentrations of albumin in the urine, albuminuria, are a hallmark of diabetic kidney disease and are associated with an increased risk for end-stage renal disease and cardiovascular events. To gain insight into the pathophysiological mechanisms underlying albuminuria, we conducted meta-analyses of genome-wide association studies and independent replication in up to 5,825 individuals of European ancestry with diabetes and up to 46,061 without diabetes, followed by functional studies. Known associations of variants in CUBN, encoding cubilin, with the urinary albumin-to-creatinine ratio (UACR) were confirmed in the overall sample (P = 2.4 × 10−10). Gene-by-diabetes interactions were detected and confirmed for variants in HS6ST1 and near RAB38/CTSC. Single nucleotide polymorphisms at these loci demonstrated a genetic effect on UACR in individuals with but not without diabetes. The change in the average UACR per minor allele was 21% for HS6ST1 (P = 6.3 × 10–7) and 13% for RAB38/CTSC (P = 5.8 × 10−7). Experiments using streptozotocin-induced diabetic Rab38 knockout and control rats showed higher urinary albumin concentrations and reduced amounts of megalin and cubilin at the proximal tubule cell surface in Rab38 knockout versus control rats. Relative expression of RAB38 was higher in tubuli of patients with diabetic kidney disease compared with control subjects. The loci identified here confirm known pathways and highlight novel pathways influencing albuminuria. PMID:26631737

  10. Genome-wide association study identifies shared risk loci common to two malignancies in golden retrievers.

    Directory of Open Access Journals (Sweden)

    Noriko Tonomura

    2015-02-01

    Full Text Available Dogs, with their breed-determined limited genetic background, are great models of human disease including cancer. Canine B-cell lymphoma and hemangiosarcoma are both malignancies of the hematologic system that are clinically and histologically similar to human B-cell non-Hodgkin lymphoma and angiosarcoma, respectively. Golden retrievers in the US show significantly elevated lifetime risk for both B-cell lymphoma (6% and hemangiosarcoma (20%. We conducted genome-wide association studies for hemangiosarcoma and B-cell lymphoma, identifying two shared predisposing loci. The two associated loci are located on chromosome 5, and together contribute ~20% of the risk of developing these cancers. Genome-wide p-values for the top SNP of each locus are 4.6×10-7 and 2.7×10-6, respectively. Whole genome resequencing of nine cases and controls followed by genotyping and detailed analysis identified three shared and one B-cell lymphoma specific risk haplotypes within the two loci, but no coding changes were associated with the risk haplotypes. Gene expression analysis of B-cell lymphoma tumors revealed that carrying the risk haplotypes at the first locus is associated with down-regulation of several nearby genes including the proximal gene TRPC6, a transient receptor Ca2+-channel involved in T-cell activation, among other functions. The shared risk haplotype in the second locus overlaps the vesicle transport and release gene STX8. Carrying the shared risk haplotype is associated with gene expression changes of 100 genes enriched for pathways involved in immune cell activation. Thus, the predisposing germ-line mutations in B-cell lymphoma and hemangiosarcoma appear to be regulatory, and affect pathways involved in T-cell mediated immune response in the tumor. This suggests that the interaction between the immune system and malignant cells plays a common role in the tumorigenesis of these relatively different cancers.

  11. BIOELECTRICAL IMPEDANCE VECTOR ANALYSIS IDENTIFIES SARCOPENIA IN NURSING HOME RESIDENTS

    Science.gov (United States)

    Loss of muscle mass and water shifts between body compartments are contributing factors to frailty in the elderly. The body composition changes are especially pronounced in institutionalized elderly. We investigated the ability of single-frequency bioelectrical impedance analysis (BIA) to identify b...

  12. Identifying subgroups of patients using latent class analysis

    DEFF Research Database (Denmark)

    Nielsen, Anne Mølgaard; Kent, Peter; Hestbæk, Lise

    2017-01-01

    BACKGROUND: Heterogeneity in patients with low back pain (LBP) is well recognised and different approaches to subgrouping have been proposed. Latent Class Analysis (LCA) is a statistical technique that is increasingly being used to identify subgroups based on patient characteristics. However, as ...

  13. Genome-wide association study identifies multiple loci associated with both mammographic density and breast cancer risk.

    Science.gov (United States)

    Lindström, Sara; Thompson, Deborah J; Paterson, Andrew D; Li, Jingmei; Gierach, Gretchen L; Scott, Christopher; Stone, Jennifer; Douglas, Julie A; dos-Santos-Silva, Isabel; Fernandez-Navarro, Pablo; Verghase, Jajini; Smith, Paula; Brown, Judith; Luben, Robert; Wareham, Nicholas J; Loos, Ruth J F; Heit, John A; Pankratz, V Shane; Norman, Aaron; Goode, Ellen L; Cunningham, Julie M; deAndrade, Mariza; Vierkant, Robert A; Czene, Kamila; Fasching, Peter A; Baglietto, Laura; Southey, Melissa C; Giles, Graham G; Shah, Kaanan P; Chan, Heang-Ping; Helvie, Mark A; Beck, Andrew H; Knoblauch, Nicholas W; Hazra, Aditi; Hunter, David J; Kraft, Peter; Pollan, Marina; Figueroa, Jonine D; Couch, Fergus J; Hopper, John L; Hall, Per; Easton, Douglas F; Boyd, Norman F; Vachon, Celine M; Tamimi, Rulla M

    2014-10-24

    Mammographic density reflects the amount of stromal and epithelial tissues in relation to adipose tissue in the breast and is a strong risk factor for breast cancer. Here we report the results from meta-analysis of genome-wide association studies (GWAS) of three mammographic density phenotypes: dense area, non-dense area and percent density in up to 7,916 women in stage 1 and an additional 10,379 women in stage 2. We identify genome-wide significant (P<5 × 10(-8)) loci for dense area (AREG, ESR1, ZNF365, LSP1/TNNT3, IGF1, TMEM184B and SGSM3/MKL1), non-dense area (8p11.23) and percent density (PRDM6, 8p11.23 and TMEM184B). Four of these regions are known breast cancer susceptibility loci, and four additional regions were found to be associated with breast cancer (P<0.05) in a large meta-analysis. These results provide further evidence of a shared genetic basis between mammographic density and breast cancer and illustrate the power of studying intermediate quantitative phenotypes to identify putative disease-susceptibility loci.

  14. Optimizing the phenotyping of rodent ASD models: enrichment analysis of mouse and human neurobiological phenotypes associated with high-risk autism genes identifies morphological, electrophysiological, neurological, and behavioral features

    Directory of Open Access Journals (Sweden)

    Buxbaum Joseph D

    2012-02-01

    in ASD genes result in defined groups of changes in mouse models and support a broad neurobiological approach to phenotyping rodent models for ASD, with a focus on biochemistry and molecular biology, brain and neuronal morphology, and electrophysiology, as well as both neurological and additional behavioral analyses. Analysis of human phenotypes associated with these genes reinforced these conclusions, supporting face validity for these approaches to phenotyping of ASD models. Such phenotyping is consistent with the successes in Fmr1 knockout mice, in which morphological changes recapitulated human findings and electrophysiological deficits resulted in molecular insights that have since led to clinical trials. We propose both broad domains and, based on expert review of more than 50 publications in each of the four neurobiological domains, specific tests to be applied to rodent models of ASD.

  15. Genome-wide association study identifies loci influencing concentrations of liver enzymes in plasma

    OpenAIRE

    Chambers, John C.; Zhang, Weihua; Sehmi, Joban; Li, Xinzhong; Wass, Mark N; Harst, Pim; Holm, Hilma; Sanna, Serena; Kavousi, Maryam; Baumeister, Sebastian E.; Coin, Lachlan J.; Deng, Guohong; Gieger, Christian; Heard-Costa, Nancy L.; Hottenga, Jouke-Jan

    2011-01-01

    Concentrations of liver enzymes in plasma are widely used as indicators of liver disease. We carried out a genome-wide association study in 61,089 individuals, identifying 42 loci associated with concentrations of liver enzymes in plasma, of which 32 are new associations (P = 10(-8) to P = 10(-190)). We used functional genomic approaches including metabonomic profiling and gene expression analyses to identify probable candidate genes at these regions. We identified 69 candidate genes, includi...

  16. Genome-wide association study identifies loci influencing concentrations of liver enzymes in plasma

    OpenAIRE

    Chambers, John C.; Zhang, Weihua; Sehmi, Joban; Li, Xinzhong; Wass, Mark N; Harst, Pim; Holm, Hilma; Sanna, Serena; Kavousi, Maryam; Baumeister, Sebastian E.; Coin, Lachlan J.; Deng, Guohong; Gieger, Christian; Heard-Costa, Nancy L.; Hottenga, Jouke-Jan

    2011-01-01

    Concentrations of liver enzymes in plasma are widely used as indicators of liver disease. We carried out a genome-wide association study in 61,089 individuals, identifying 42 loci associated with concentrations of liver enzymes in plasma, of which 32 are new associations (P = 10−8 to P = 10−190). We used functional genomic approaches including metabonomic profiling and gene expression analyses to identify probable candidate genes at these regions. We identified 69 candidate genes, including g...

  17. Genome-wide association study identifies loci influencing concentrations of liver enzymes in plasma.

    OpenAIRE

    Chambers, John C.; Zhang, Weihua; Sehmi, Joban; Li, Xinzhong; Wass, Mark N; Harst, Pim; Holm, Hilma; Sanna, Serena; Kavousi, Maryam; Baumeister, Sebastian E.; Coin, Lachlan J.; Abecasis, Goncalo R.; Ahmadi, Kourosh R; Boomsma, Dorret I; Caulfield, Mark

    2011-01-01

    Concentrations of liver enzymes in plasma are widely used as indicators of liver disease. We carried out a genome-wide association study in 61,089 individuals, identifying 42 loci associated with concentrations of liver enzymes in plasma, of which 32 are new associations (P = 10(-8) to P = 10(-190)). We used functional genomic approaches including metabonomic profiling and gene expression analyses to identify probable candidate genes at these regions. We identified 69 candidate genes, includi...

  18. Genome wide association study identifies KCNMA1 contributing to human obesity

    DEFF Research Database (Denmark)

    Jiao, Hong; Arner, Peter; Hoffstedt, Johan;

    2011-01-01

    Recent genome-wide association (GWA) analyses have identified common single nucleotide polymorphisms (SNPs) that are associated with obesity. However, the reported genetic variation in obesity explains only a minor fraction of the total genetic variation expected to be present in the population....... Thus many genetic variants controlling obesity remain to be identified. The aim of this study was to use GWA followed by multiple stepwise validations to identify additional genes associated with obesity....

  19. Genome-Wide association study identifies candidate genes for Parkinson's disease in an Ashkenazi Jewish population

    Directory of Open Access Journals (Sweden)

    Liu Xinmin

    2011-08-01

    Full Text Available Abstract Background To date, nine Parkinson disease (PD genome-wide association studies in North American, European and Asian populations have been published. The majority of studies have confirmed the association of the previously identified genetic risk factors, SNCA and MAPT, and two studies have identified three new PD susceptibility loci/genes (PARK16, BST1 and HLA-DRB5. In a recent meta-analysis of datasets from five of the published PD GWAS an additional 6 novel candidate genes (SYT11, ACMSD, STK39, MCCC1/LAMP3, GAK and CCDC62/HIP1R were identified. Collectively the associations identified in these GWAS account for only a small proportion of the estimated total heritability of PD suggesting that an 'unknown' component of the genetic architecture of PD remains to be identified. Methods We applied a GWAS approach to a relatively homogeneous Ashkenazi Jewish (AJ population from New York to search for both 'rare' and 'common' genetic variants that confer risk of PD by examining any SNPs with allele frequencies exceeding 2%. We have focused on a genetic isolate, the AJ population, as a discovery dataset since this cohort has a higher sharing of genetic background and historically experienced a significant bottleneck. We also conducted a replication study using two publicly available datasets from dbGaP. The joint analysis dataset had a combined sample size of 2,050 cases and 1,836 controls. Results We identified the top 57 SNPs showing the strongest evidence of association in the AJ dataset (p -5. Six SNPs located within gene regions had positive signals in at least one other independent dbGaP dataset: LOC100505836 (Chr3p24, LOC153328/SLC25A48 (Chr5q31.1, UNC13B (9p13.3, SLCO3A1(15q26.1, WNT3(17q21.3 and NSF (17q21.3. We also replicated published associations for the gene regions SNCA (Chr4q21; rs3775442, p = 0.037, PARK16 (Chr1q32.1; rs823114 (NUCKS1, p = 6.12 × 10-4, BST1 (Chr4p15; rs12502586, p = 0.027, STK39 (Chr2q24.3; rs3754775, p = 0

  20. A multi-stage genome-wide association study of bladder cancer identifies multiple susceptibility loci

    Science.gov (United States)

    Rothman, Nathaniel; Garcia-Closas, Montserrat; Chatterjee, Nilanjan; Malats, Nuria; Wu, Xifeng; Figueroa, Jonine; Real, Francisco X; Van Den Berg, David; Matullo, Giuseppe; Baris, Dalsu; Thun, Michael; Kiemeney, Lambertus A; Vineis, Paolo; De Vivo, Immaculata; Albanes, Demetrius; Purdue, Mark P; Rafnar, Thorunn; Hildebrandt, Michelle A T; Kiltie, Anne E; Cussenot, Olivier; Golka, Klaus; Kumar, Rajiv; Taylor, Jack A; Mayordomo, Jose I; Jacobs, Kevin B; Kogevinas, Manolis; Hutchinson, Amy; Wang, Zhaoming; Fu, Yi-Ping; Prokunina-Olsson, Ludmila; Burdette, Laurie; Yeager, Meredith; Wheeler, William; Tardón, Adonina; Serra, Consol; Carrato, Alfredo; García-Closas, Reina; Lloreta, Josep; Johnson, Alison; Schwenn, Molly; Karagas, Margaret R; Schned, Alan; Andriole, Gerald; Grubb, Robert; Black, Amanda; Jacobs, Eric J; Diver, W Ryan; Gapstur, Susan M; Weinstein, Stephanie J; Virtamo, Jarmo; Cortessis, Victoria K; Gago-Dominguez, Manuela; Pike, Malcolm C; Stern, Mariana C; Yuan, Jian-Min; Hunter, David; McGrath, Monica; Dinney, Colin P; Czerniak, Bogdan; Chen, Meng; Yang, Hushan; Vermeulen, Sita H; Aben, Katja K; Witjes, J Alfred; Makkinje, Remco R; Sulem, Patrick; Besenbacher, Soren; Stefansson, Kari; Riboli, Elio; Brennan, Paul; Panico, Salvatore; Navarro, Carmen; Allen, Naomi E; Bueno-de-Mesquita, H Bas; Trichopoulos, Dimitrios; Caporaso, Neil; Landi, Maria Teresa; Canzian, Federico; Ljungberg, Borje; Tjonneland, Anne; Clavel-Chapelon, Francoise; Bishop, David T; Teo, Mark T W; Knowles, Margaret A; Guarrera, Simonetta; Polidoro, Silvia; Ricceri, Fulvio; Sacerdote, Carlotta; Allione, Alessandra; Cancel-Tassin, Geraldine; Selinski, Silvia; Hengstler, Jan G; Dietrich, Holger; Fletcher, Tony; Rudnai, Peter; Gurzau, Eugen; Koppova, Kvetoslava; Bolick, Sophia C E; Godfrey, Ashley; Xu, Zongli; Sanz-Velez, José I; García-Prats, María D; Sanchez, Manuel; Valdivia, Gabriel; Porru, Stefano; Benhamou, Simone; Hoover, Robert N; Fraumeni, Joseph F; Silverman, Debra T; Chanock, Stephen J

    2010-01-01

    We conducted a multi-stage, genome-wide association study (GWAS) of bladder cancer with a primary scan of 589,299 single nucleotide polymorphisms (SNPs) in 3,532 cases and 5,120 controls of European descent (5 studies) followed by a replication strategy, which included 8,381 cases and 48,275 controls (16 studies). In a combined analysis, we identified three new regions associated with bladder cancer on chromosomes 22q13.1, 19q12 and 2q37.1; rs1014971, (P=8×10−12) maps to a non-genic region of chromosome 22q13.1; rs8102137 (P=2×10−11) on 19q12 maps to CCNE1; and rs11892031 (P=1×10−7) maps to the UGT1A cluster on 2q37.1. We confirmed four previous GWAS associations on chromosomes 3q28, 4p16.3, 8q24.21 and 8q24.3, validated previous candidate associations for the GSTM1 deletion (P=4×10−11) and a tag SNP for NAT2 acetylation status (P=4×10−11), as well as demonstrated smoking interactions with both regions. Our findings on common variants associated with bladder cancer risk should provide new insights into mechanisms of carcinogenesis. PMID:20972438

  1. Comparison of 3 methods for identifying dietary patterns associated with risk of disease.

    Science.gov (United States)

    DiBello, Julia R; Kraft, Peter; McGarvey, Stephen T; Goldberg, Robert; Campos, Hannia; Baylin, Ana

    2008-12-15

    Reduced rank regression and partial least-squares regression (PLS) are proposed alternatives to principal component analysis (PCA). Using all 3 methods, the authors derived dietary patterns in Costa Rican data collected on 3,574 cases and controls in 1994-2004 and related the resulting patterns to risk of first incident myocardial infarction. Four dietary patterns associated with myocardial infarction were identified. Factor 1, characterized by high intakes of lean chicken, vegetables, fruit, and polyunsaturated oil, was generated by all 3 dietary pattern methods and was associated with a significantly decreased adjusted risk of myocardial infarction (28%-46%, depending on the method used). PCA and PLS also each yielded a pattern associated with a significantly decreased risk of myocardial infarction (31% and 23%, respectively); this pattern was characterized by moderate intake of alcohol and polyunsaturated oil and low intake of high-fat dairy products. The fourth factor derived from PCA was significantly associated with a 38% increased risk of myocardial infarction and was characterized by high intakes of coffee and palm oil. Contrary to previous studies, the authors found PCA and PLS to produce more patterns associated with cardiovascular disease than reduced rank regression. The most effective method for deriving dietary patterns related to disease may vary depending on the study goals.

  2. Identifying glioblastoma gene networks based on hypergeometric test analysis.

    Directory of Open Access Journals (Sweden)

    Vasileios Stathias

    Full Text Available Patient specific therapy is emerging as an important possibility for many cancer patients. However, to identify such therapies it is essential to determine the genomic and transcriptional alterations present in one tumor relative to control samples. This presents a challenge since use of a single sample precludes many standard statistical analysis techniques. We reasoned that one means of addressing this issue is by comparing transcriptional changes in one tumor with those observed in a large cohort of patients analyzed by The Cancer Genome Atlas (TCGA. To test this directly, we devised a bioinformatics pipeline to identify differentially expressed genes in tumors resected from patients suffering from the most common malignant adult brain tumor, glioblastoma (GBM. We performed RNA sequencing on tumors from individual GBM patients and filtered the results through the TCGA database in order to identify possible gene networks that are overrepresented in GBM samples relative to controls. Importantly, we demonstrate that hypergeometric-based analysis of gene pairs identifies gene networks that validate experimentally. These studies identify a putative workflow for uncovering differentially expressed patient specific genes and gene networks for GBM and other cancers.

  3. Large-scale genotyping identifies 41 new loci associated with breast cancer risk

    Science.gov (United States)

    Michailidou, Kyriaki; Hall, Per; Gonzalez-Neira, Anna; Ghoussaini, Maya; Dennis, Joe; Milne, Roger L; Schmidt, Marjanka K; Chang-Claude, Jenny; Bojesen, Stig E; Bolla, Manjeet K; Wang, Qin; Dicks, Ed; Lee, Andrew; Turnbull, Clare; Rahman, Nazneen; Fletcher, Olivia; Peto, Julian; Gibson, Lorna; Silva, Isabel dos Santos; Nevanlinna, Heli; Muranen, Taru A; Aittomäki, Kristiina; Blomqvist, Carl; Czene, Kamila; Irwanto, Astrid; Liu, Jianjun; Waisfisz, Quinten; Meijers-Heijboer, Hanne; Adank, Muriel; van der Luijt, Rob B; Hein, Rebecca; Dahmen, Norbert; Beckman, Lars; Meindl, Alfons; Schmutzler, Rita K; Müller-Myhsok, Bertram; Lichtner, Peter; Hopper, John L; Southey, Melissa C; Makalic, Enes; Schmidt, Daniel F; Uitterlinden, Andre G; Hofman, Albert; Hunter, David J; Chanock, Stephen J; Vincent, Daniel; Bacot, François; Tessier, Daniel C; Canisius, Sander; Wessels, Lodewyk F A; Haiman, Christopher A; Shah, Mitul; Luben, Robert; Brown, Judith; Luccarini, Craig; Schoof, Nils; Humphreys, Keith; Li, Jingmei; Nordestgaard, Børge G; Nielsen, Sune F; Flyger, Henrik; Couch, Fergus J; Wang, Xianshu; Vachon, Celine; Stevens, Kristen N; Lambrechts, Diether; Moisse, Matthieu; Paridaens, Robert; Christiaens, Marie-Rose; Rudolph, Anja; Nickels, Stefan; Flesch-Janys, Dieter; Johnson, Nichola; Aitken, Zoe; Aaltonen, Kirsimari; Heikkinen, Tuomas; Broeks, Annegien; Van’t Veer, Laura J; van der Schoot, C Ellen; Guénel, Pascal; Truong, Thérèse; Laurent-Puig, Pierre; Menegaux, Florence; Marme, Frederik; Schneeweiss, Andreas; Sohn, Christof; Burwinkel, Barbara; Zamora, M Pilar; Perez, Jose Ignacio Arias; Pita, Guillermo; Alonso, M Rosario; Cox, Angela; Brock, Ian W; Cross, Simon S; Reed, Malcolm W R; Sawyer, Elinor J; Tomlinson, Ian; Kerin, Michael J; Miller, Nicola; Henderson, Brian E; Schumacher, Fredrick; Le Marchand, Loic; Andrulis, Irene L; Knight, Julia A; Glendon, Gord; Mulligan, Anna Marie; Lindblom, Annika; Margolin, Sara; Hooning, Maartje J; Hollestelle, Antoinette; van den Ouweland, Ans M W; Jager, Agnes; Bui, Quang M; Stone, Jennifer; Dite, Gillian S; Apicella, Carmel; Tsimiklis, Helen; Giles, Graham G; Severi, Gianluca; Baglietto, Laura; Fasching, Peter A; Haeberle, Lothar; Ekici, Arif B; Beckmann, Matthias W; Brenner, Hermann; Müller, Heiko; Arndt, Volker; Stegmaier, Christa; Swerdlow, Anthony; Ashworth, Alan; Orr, Nick; Jones, Michael; Figueroa, Jonine; Lissowska, Jolanta; Brinton, Louise; Goldberg, Mark S; Labrèche, France; Dumont, Martine; Winqvist, Robert; Pylkäs, Katri; Jukkola-Vuorinen, Arja; Grip, Mervi; Brauch, Hiltrud; Hamann, Ute; Brüning, Thomas; Radice, Paolo; Peterlongo, Paolo; Manoukian, Siranoush; Bonanni, Bernardo; Devilee, Peter; Tollenaar, Rob A E M; Seynaeve, Caroline; van Asperen, Christi J; Jakubowska, Anna; Lubinski, Jan; Jaworska, Katarzyna; Durda, Katarzyna; Mannermaa, Arto; Kataja, Vesa; Kosma, Veli-Matti; Hartikainen, Jaana M; Bogdanova, Natalia V; Antonenkova, Natalia N; Dörk, Thilo; Kristensen, Vessela N; Anton-Culver, Hoda; Slager, Susan; Toland, Amanda E; Edge, Stephen; Fostira, Florentia; Kang, Daehee; Yoo, Keun-Young; Noh, Dong-Young; Matsuo, Keitaro; Ito, Hidemi; Iwata, Hiroji; Sueta, Aiko; Wu, Anna H; Tseng, Chiu-Chen; Van Den Berg, David; Stram, Daniel O; Shu, Xiao-Ou; Lu, Wei; Gao, Yu-Tang; Cai, Hui; Teo, Soo Hwang; Yip, Cheng Har; Phuah, Sze Yee; Cornes, Belinda K; Hartman, Mikael; Miao, Hui; Lim, Wei Yen; Sng, Jen-Hwei; Muir, Kenneth; Lophatananon, Artitaya; Stewart-Brown, Sarah; Siriwanarangsan, Pornthep; Shen, Chen-Yang; Hsiung, Chia-Ni; Wu, Pei-Ei; Ding, Shian-Ling; Sangrajrang, Suleeporn; Gaborieau, Valerie; Brennan, Paul; McKay, James; Blot, William J; Signorello, Lisa B; Cai, Qiuyin; Zheng, Wei; Deming-Halverson, Sandra; Shrubsole, Martha; Long, Jirong; Simard, Jacques; Garcia-Closas, Montse; Pharoah, Paul D P; Chenevix-Trench, Georgia; Dunning, Alison M; Benitez, Javier; Easton, Douglas F

    2013-01-01

    Breast cancer is the most common cancer among women. Common variants at 27 loci have been identified as associated with susceptibility to breast cancer, and these account for ~9% of the familial risk of the disease. We report here a meta-analysis of 9 genome-wide association studies, including 10,052 breast cancer cases and 12,575 controls of European ancestry, from which we selected 29,807 SNPs for further genotyping. These SNPs were genotyped in 45,290 cases and 41,880 controls of European ancestry from 41 studies in the Breast Cancer Association Consortium (BCAC). The SNPs were genotyped as part of a collaborative genotyping experiment involving four consortia (Collaborative Oncological Gene-environment Study, COGS) and used a custom Illumina iSelect genotyping array, iCOGS, comprising more than 200,000 SNPs. We identified SNPs at 41 new breast cancer susceptibility loci at genome-wide significance (P < 5 × 10−8). Further analyses suggest that more than 1,000 additional loci are involved in breast cancer susceptibility. PMID:23535729

  4. Multistage genome-wide association meta-analyses identified two new loci for bone mineral density.

    Science.gov (United States)

    Zhang, Lei; Choi, Hyung Jin; Estrada, Karol; Leo, Paul J; Li, Jian; Pei, Yu-Fang; Zhang, Yinping; Lin, Yong; Shen, Hui; Liu, Yao-Zhong; Liu, Yongjun; Zhao, Yingchun; Zhang, Ji-Gang; Tian, Qing; Wang, Yu-ping; Han, Yingying; Ran, Shu; Hai, Rong; Zhu, Xue-Zhen; Wu, Shuyan; Yan, Han; Liu, Xiaogang; Yang, Tie-Lin; Guo, Yan; Zhang, Feng; Guo, Yan-fang; Chen, Yuan; Chen, Xiangding; Tan, Lijun; Zhang, Lishu; Deng, Fei-Yan; Deng, Hongyi; Rivadeneira, Fernando; Duncan, Emma L; Lee, Jong Young; Han, Bok Ghee; Cho, Nam H; Nicholson, Geoffrey C; McCloskey, Eugene; Eastell, Richard; Prince, Richard L; Eisman, John A; Jones, Graeme; Reid, Ian R; Sambrook, Philip N; Dennison, Elaine M; Danoy, Patrick; Yerges-Armstrong, Laura M; Streeten, Elizabeth A; Hu, Tian; Xiang, Shuanglin; Papasian, Christopher J; Brown, Matthew A; Shin, Chan Soo; Uitterlinden, André G; Deng, Hong-Wen

    2014-04-01

    Aiming to identify novel genetic variants and to confirm previously identified genetic variants associated with bone mineral density (BMD), we conducted a three-stage genome-wide association (GWA) meta-analysis in 27 061 study subjects. Stage 1 meta-analyzed seven GWA samples and 11 140 subjects for BMDs at the lumbar spine, hip and femoral neck, followed by a Stage 2 in silico replication of 33 SNPs in 9258 subjects, and by a Stage 3 de novo validation of three SNPs in 6663 subjects. Combining evidence from all the stages, we have identified two novel loci that have not been reported previously at the genome-wide significance (GWS; 5.0 × 10(-8)) level: 14q24.2 (rs227425, P-value 3.98 × 10(-13), SMOC1) in the combined sample of males and females and 21q22.13 (rs170183, P-value 4.15 × 10(-9), CLDN14) in the female-specific sample. The two newly identified SNPs were also significant in the GEnetic Factors for OSteoporosis consortium (GEFOS, n = 32 960) summary results. We have also independently confirmed 13 previously reported loci at the GWS level: 1p36.12 (ZBTB40), 1p31.3 (GPR177), 4p16.3 (FGFRL1), 4q22.1 (MEPE), 5q14.3 (MEF2C), 6q25.1 (C6orf97, ESR1), 7q21.3 (FLJ42280, SHFM1), 7q31.31 (FAM3C, WNT16), 8q24.12 (TNFRSF11B), 11p15.3 (SOX6), 11q13.4 (LRP5), 13q14.11 (AKAP11) and 16q24 (FOXL1). Gene expression analysis in osteogenic cells implied potential functional association of the two candidate genes (SMOC1 and CLDN14) in bone metabolism. Our findings independently confirm previously identified biological pathways underlying bone metabolism and contribute to the discovery of novel pathways, thus providing valuable insights into the intervention and treatment of osteoporosis.

  5. Identifying influential factors of business process performance using dependency analysis

    Science.gov (United States)

    Wetzstein, Branimir; Leitner, Philipp; Rosenberg, Florian; Dustdar, Schahram; Leymann, Frank

    2011-02-01

    We present a comprehensive framework for identifying influential factors of business process performance. In particular, our approach combines monitoring of process events and Quality of Service (QoS) measurements with dependency analysis to effectively identify influential factors. The framework uses data mining techniques to construct tree structures to represent dependencies of a key performance indicator (KPI) on process and QoS metrics. These dependency trees allow business analysts to determine how process KPIs depend on lower-level process metrics and QoS characteristics of the IT infrastructure. The structure of the dependencies enables a drill-down analysis of single factors of influence to gain a deeper knowledge why certain KPI targets are not met.

  6. Latent cluster analysis of ALS phenotypes identifies prognostically differing groups.

    Directory of Open Access Journals (Sweden)

    Jeban Ganesalingam

    Full Text Available BACKGROUND: Amyotrophic lateral sclerosis (ALS is a degenerative disease predominantly affecting motor neurons and manifesting as several different phenotypes. Whether these phenotypes correspond to different underlying disease processes is unknown. We used latent cluster analysis to identify groupings of clinical variables in an objective and unbiased way to improve phenotyping for clinical and research purposes. METHODS: Latent class cluster analysis was applied to a large database consisting of 1467 records of people with ALS, using discrete variables which can be readily determined at the first clinic appointment. The model was tested for clinical relevance by survival analysis of the phenotypic groupings using the Kaplan-Meier method. RESULTS: The best model generated five distinct phenotypic classes that strongly predicted survival (p<0.0001. Eight variables were used for the latent class analysis, but a good estimate of the classification could be obtained using just two variables: site of first symptoms (bulbar or limb and time from symptom onset to diagnosis (p<0.00001. CONCLUSION: The five phenotypic classes identified using latent cluster analysis can predict prognosis. They could be used to stratify patients recruited into clinical trials and generating more homogeneous disease groups for genetic, proteomic and risk factor research.

  7. Genome-wide association study to identify the genetic determinants of otitis media susceptibility in childhood.

    Directory of Open Access Journals (Sweden)

    Marie S Rye

    Full Text Available BACKGROUND: Otitis media (OM is a common childhood disease characterised by middle ear inflammation and effusion. Susceptibility to recurrent acute OM (rAOM; ≥ 3 episodes of AOM in 6 months and chronic OM with effusion (COME; MEE ≥ 3 months is 40-70% heritable. Few underlying genes have been identified to date, and no genome-wide association study (GWAS of OM has been reported. METHODS AND FINDINGS: Data for 2,524,817 single nucleotide polymorphisms (SNPs; 535,544 quality-controlled SNPs genotyped by Illumina 660W-Quad; 1,989,273 by imputation were analysed for association with OM in 416 cases and 1,075 controls from the Western Australian Pregnancy Cohort (Raine Study. Logistic regression analyses under an additive model undertaken in GenABEL/ProbABEL adjusting for population substructure using principal components identified SNPs at CAPN14 (rs6755194: OR = 1.90; 95%CI 1.47-2.45; P(adj-PCA = 8.3 × 10(-7 on chromosome 2p23.1 as the top hit, with independent effects (rs1862981: OR = 1.60; 95%CI 1.29-1.99; P(adj-PCA = 2.2 × 10(-5 observed at the adjacent GALNT14 gene. In a gene-based analysis in VEGAS, BPIFA3 (P(Gene = 2 × 10(-5 and BPIFA1 (P(Gene = 1.07 × 10(-4 in the BPIFA gene cluster on chromosome 20q11.21 were the top hits. In all, 32 genomic regions show evidence of association (P(adj-PCA<10(-5 in this GWAS, with pathway analysis showing a connection between top candidates and the TGFβ pathway. However, top and tag-SNP analysis for seven selected candidate genes in this pathway did not replicate in 645 families (793 affected individuals from the Western Australian Family Study of Otitis Media (WAFSOM. Lack of replication may be explained by sample size, difference in OM disease severity between primary and replication cohorts or due to type I error in the primary GWAS. CONCLUSIONS: This first discovery GWAS for an OM phenotype has identified CAPN14 and GALNT14 on chromosome 2p23.1 and the BPIFA gene cluster on chromosome 20q11.21 as

  8. Genome-wide association study identifies candidate markers for bull fertility in Holstein dairy cattle.

    Science.gov (United States)

    Peñagaricano, F; Weigel, K A; Khatib, H

    2012-07-01

    The decline in the reproductive efficiency of dairy cattle has become a challenging problem worldwide. Female fertility is now taken into account in breeding goals while generally less attention is given to male fertility. The objective of this study was to perform a genome-wide association study in Holstein bulls to identify genetic variants significantly related to sire conception rate (SCR), a new phenotypic evaluation of bull fertility. The analysis included 1755 sires with SCR data and 38,650 single nucleotide polymorphisms (SNPs) spanning the entire bovine genome. Associations between SNPs and SCR were analyzed using a mixed linear model that included a random polygenic effect and SNP genotype either as a linear covariate or as a categorical variable. A multiple testing correction approach was used to account for the correlation between SNPs because of linkage disequilibrium. After genome-wide correction, eight SNPs showed significant association with SCR. Some of these SNPs are located close to or in the middle of genes with functions related to male fertility, such as the sperm acrosome reaction, chromatin remodeling during the spermatogenesis, and the meiotic process during male germ cell maturation. Some SNPs showed marked dominance effects, which provide more evidence for the relevance of non-additive effects in traits closely related to fitness such as fertility. The results could contribute to the identification of genes and pathways associated with male fertility in dairy cattle.

  9. Tissue Microbiome Profiling Identifies an Enrichment of Specific Enteric Bacteria in Opisthorchis viverrini Associated Cholangiocarcinoma

    Directory of Open Access Journals (Sweden)

    Kern Rei Chng

    2016-06-01

    Full Text Available Cholangiocarcinoma (CCA is the primary cancer of the bile duct system. The role of bile duct tissue microbiomes in CCA tumorigenesis is unestablished. To address this, sixty primary CCA tumors and matched normals, from both liver fluke (Opisthorchis viverrini associated (OVa, n = 28 and non-O. viverrini associated (non-OVa, n = 32 cancers, were profiled using high-throughput 16S rRNA sequencing. A distinct, tissue-specific microbiome dominated by the bacterial families Dietziaceae, Pseudomonadaceae and Oxalobacteraceae was observed in bile duct tissues. Systemic perturbation of the microbiome was noted in tumor and paired normal samples (vs non-cancer normals for several bacterial families with a significant increase in Stenotrophomonas species distinguishing tumors vs paired normals. Comparison of parasite associated (OVa vs non-associated (non-OVa groups identified enrichment for specific enteric bacteria (Bifidobacteriaceae, Enterobacteriaceae and Enterococcaceae. One of the enriched families, Bifidobacteriaceae, was found to be dominant in the O. viverrini microbiome, providing a mechanistic link to the parasite. Functional analysis and comparison of CCA microbiomes revealed higher potential for producing bile acids and ammonia in OVa tissues, linking the altered microbiota to carcinogenesis. These results define how the unique microbial communities resident in the bile duct, parasitic infections and the tissue microenvironment can influence each other, and contribute to cancer.

  10. Tissue Microbiome Profiling Identifies an Enrichment of Specific Enteric Bacteria in Opisthorchis viverrini Associated Cholangiocarcinoma.

    Science.gov (United States)

    Chng, Kern Rei; Chan, Sock Hoai; Ng, Amanda Hui Qi; Li, Chenhao; Jusakul, Apinya; Bertrand, Denis; Wilm, Andreas; Choo, Su Pin; Tan, Damien Meng Yew; Lim, Kiat Hon; Soetinko, Roy; Ong, Choon Kiat; Duda, Dan G; Dima, Simona; Popescu, Irinel; Wongkham, Chaisiri; Feng, Zhu; Yeoh, Khay Guan; Teh, Bin Tean; Yongvanit, Puangrat; Wongkham, Sopit; Bhudhisawasdi, Vajaraphongsa; Khuntikeo, Narong; Tan, Patrick; Pairojkul, Chawalit; Ngeow, Joanne; Nagarajan, Niranjan

    2016-06-01

    Cholangiocarcinoma (CCA) is the primary cancer of the bile duct system. The role of bile duct tissue microbiomes in CCA tumorigenesis is unestablished. To address this, sixty primary CCA tumors and matched normals, from both liver fluke (Opisthorchis viverrini) associated (OVa, n=28) and non-O. viverrini associated (non-OVa, n=32) cancers, were profiled using high-throughput 16S rRNA sequencing. A distinct, tissue-specific microbiome dominated by the bacterial families Dietziaceae, Pseudomonadaceae and Oxalobacteraceae was observed in bile duct tissues. Systemic perturbation of the microbiome was noted in tumor and paired normal samples (vs non-cancer normals) for several bacterial families with a significant increase in Stenotrophomonas species distinguishing tumors vs paired normals. Comparison of parasite associated (OVa) vs non-associated (non-OVa) groups identified enrichment for specific enteric bacteria (Bifidobacteriaceae, Enterobacteriaceae and Enterococcaceae). One of the enriched families, Bifidobacteriaceae, was found to be dominant in the O. viverrini microbiome, providing a mechanistic link to the parasite. Functional analysis and comparison of CCA microbiomes revealed higher potential for producing bile acids and ammonia in OVa tissues, linking the altered microbiota to carcinogenesis. These results define how the unique microbial communities resident in the bile duct, parasitic infections and the tissue microenvironment can influence each other, and contribute to cancer.

  11. Genome-wide association study identifies African-ancestry specific variants for metabolic syndrome

    Science.gov (United States)

    Tekola-Ayele, Fasil; Doumatey, Ayo P.; Shriner, Daniel; Bentley, Amy R.; Chen, Guanjie; Zhou, Jie; Fasanmade, Olufemi; Johnson, Thomas; Oli, Johnnie; Okafor, Godfrey; Eghan, Benjami A.; Agyenim-Boateng, Kofi; Adebamowo, Clement; Amoah, Albert; Acheampong, Joseph; Adeyemo, Adebowale; Rotimi, Charles N.

    2015-01-01

    The metabolic syndrome (MetS) is a constellation of metabolic disorders that increase the risk of developing several diseases including type 2 diabetes and cardiovascular diseases. Although genome-wide association studies (GWAS) have successfully identified variants associated with individual traits comprising MetS, the genetic basis and pathophysiological mechanisms underlying the clustering of these traits remain unclear. We conducted GWAS of MetS in 1,427 Africans from Ghana and Nigeria followed by replication testing and meta-analysis in another continental African sample from Kenya. Further replication testing was performed in an African American sample from the Atherosclerosis Risk in Communities (ARIC) study. We found two African-ancestry specific variants that were significantly associated with MetS: SNP rs73989312[A] near CA10 that conferred increased risk (P=3.86x10−8, OR=6.80) and SNP rs77244975[C] in CTNNA3 that conferred protection against MetS (P=1.63x10−8, OR=0.15). Given the exclusive expression of CA10 in the brain, our CA10 finding strengthens previously reported link between brain function and MetS. We also identified two variants that are not African specific: rs76822696[A] near RALYL associated with increased MetS risk (P=7.37x10−9, OR=1.59) and rs7964157[T] near KSR2 associated with reduced MetS risk (P=4.52x10−8, Pmeta=7.82x10−9, OR=0.53). The KSR2 locus displayed pleiotropic associations with triglyceride and measures of blood pressure. Rare KSR2 mutations have been reported to be associated with early onset obesity and insulin resistance. Finally, we replicated the LPL and CETP loci previously found to be associated with MetS in Europeans. These findings provide novel insights into the genetics of MetS in Africans and demonstrate the utility of conducting trans-ethnic disease gene mapping studies for testing the cosmopolitan significance of GWAS signals of cardio-metabolic traits. PMID:26507551

  12. Identifying Organizational Inefficiencies with Pictorial Process Analysis (PPA

    Directory of Open Access Journals (Sweden)

    David John Patrishkoff

    2013-11-01

    Full Text Available Pictorial Process Analysis (PPA was created by the author in 2004. PPA is a unique methodology which offers ten layers of additional analysis when compared to standard process mapping techniques.  The goal of PPA is to identify and eliminate waste, inefficiencies and risk in manufacturing or transactional business processes at 5 levels in an organization. The highest level being assessed is the process management, followed by the process work environment, detailed work habits, process performance metrics and general attitudes towards the process. This detailed process assessment and analysis is carried out during process improvement brainstorming efforts and Kaizen events. PPA creates a detailed visual efficiency rating for each step of the process under review.  A selection of 54 pictorial Inefficiency Icons (cards are available for use to highlight major inefficiencies and risks that are present in the business process under review. These inefficiency icons were identified during the author's independent research on the topic of why things go wrong in business. This paper will highlight how PPA was developed and show the steps required to conduct Pictorial Process Analysis on a sample manufacturing process. The author has successfully used PPA to dramatically improve business processes in over 55 different industries since 2004.  

  13. A cross-species genetic analysis identifies candidate genes for mouse anxiety and human bipolar disorder

    Directory of Open Access Journals (Sweden)

    David G Ashbrook

    2015-07-01

    Full Text Available Bipolar disorder (BD is a significant neuropsychiatric disorder with a lifetime prevalence of ~1%. To identify genetic variants underlying BD genome-wide association studies (GWAS have been carried out. While many variants of small effect associated with BD have been identified few have yet been confirmed, partly because of the low power of GWAS due to multiple comparisons being made. Complementary mapping studies using murine models have identified genetic variants for behavioral traits linked to BD, often with high power, but these identified regions often contain too many genes for clear identification of candidate genes. In the current study we have aligned human BD GWAS results and mouse linkage studies to help define and evaluate candidate genes linked to BD, seeking to use the power of the mouse mapping with the precision of GWAS. We use quantitative trait mapping for open field test and elevated zero maze data in the largest mammalian model system, the BXD recombinant inbred mouse population, to identify genomic regions associated with these BD-like phenotypes. We then investigate these regions in whole genome data from the Psychiatric Genomics Consortium’s bipolar disorder GWAS to identify candidate genes associated with BD. Finally we establish the biological relevance and pathways of these genes in a comprehensive systems genetics analysis.We identify four genes associated with both mouse anxiety and human BD. While TNR is a novel candidate for BD, we can confirm previously suggested associations with CMYA5, MCTP1 and RXRG. A cross-species, systems genetics analysis shows that MCTP1, RXRG and TNR coexpress with genes linked to psychiatric disorders and identify the striatum as a potential site of action. CMYA5, MCTP1, RXRG and TNR are associated with mouse anxiety and human BD. We hypothesize that MCTP1, RXRG and TNR influence intercellular signaling in the striatum.

  14. Genome-wide association study identifies loci influencing concentrations of liver enzymes in plasma

    NARCIS (Netherlands)

    Chambers, John C; Zhang, Weihua; Sehmi, Joban; Li, Xinzhong; Wass, Mark N; Van der Harst, Pim; Holm, Hilma; Sanna, Serena; Kavousi, Maryam; Baumeister, Sebastian E; Coin, Lachlan J; Deng, Guohong; Gieger, Christian; Heard-Costa, Nancy L; Hottenga, Jouke-Jan; Kühnel, Brigitte; Kumar, Vinod; Lagou, Vasiliki; Liang, Liming; Luan, Jian'an; Vidal, Pedro Marques; Mateo Leach, Irene; O'Reilly, Paul F; Peden, John F; Rahmioglu, Nilufer; Soininen, Pasi; Speliotes, Elizabeth K; Yuan, Xin; Thorleifsson, Gudmar; Alizadeh, Behrooz Z; Atwood, Larry D; Borecki, Ingrid B; Brown, Morris J; Charoen, Pimphen; Cucca, Francesco; Das, Debashish; de Geus, Eco J C; Dixon, Anna L; Döring, Angela; Ehret, Georg; Eyjolfsson, Gudmundur I; Farrall, Martin; Forouhi, Nita G; Friedrich, Nele; Goessling, Wolfram; Gudbjartsson, Daniel F; Harris, Tamara B; Hartikainen, Anna-Liisa; Heath, Simon; Hirschfield, Gideon M; Hofman, Albert; Homuth, Georg; Hyppönen, Elina; Janssen, Harry L A; Johnson, Toby; Kangas, Antti J; Kema, Ido P; Kühn, Jens P; Lai, Sandra; Lathrop, Mark; Lerch, Markus M; Li, Yun; Liang, T Jake; Lin, Jing-Ping; Loos, Ruth J F; Martin, Nicholas G; Moffatt, Miriam F; Montgomery, Grant W; Munroe, Patricia B; Musunuru, Kiran; Nakamura, Yusuke; O'Donnell, Christopher J; Olafsson, Isleifur; Penninx, Brenda W; Pouta, Anneli; Prins, Bram P; Prokopenko, Inga; Puls, Ralf; Ruokonen, Aimo; Savolainen, Markku J; Schlessinger, David; Schouten, Jeoffrey N L; Seedorf, Udo; Sen-Chowdhry, Srijita; Siminovitch, Katherine A; Smit, Johannes H; Spector, Timothy D; Tan, Wenting; Teslovich, Tanya M; Tukiainen, Taru; Uitterlinden, Andre G; Van der Klauw, Melanie M; Vasan, Ramachandran S; Wallace, Chris; Wallaschofski, Henri; Wichmann, H-Erich; Willemsen, Gonneke; Würtz, Peter; Xu, Chun; Yerges-Armstrong, Laura M; Abecasis, Goncalo R; Ahmadi, Kourosh R; Boomsma, Dorret I; Caulfield, Mark; Cookson, William O; van Duijn, Cornelia M; Froguel, Philippe; Matsuda, Koichi; McCarthy, Mark I; Meisinger, Christa; Mooser, Vincent; Pietiläinen, Kirsi H; Schumann, Gunter; Snieder, Harold; Sternberg, Michael J E; Stolk, Ronald P; Thomas, Howard C; Thorsteinsdottir, Unnur; Uda, Manuela; Waeber, Gérard; Wareham, Nicholas J; Waterworth, Dawn M; Watkins, Hugh; Whitfield, John B; Witteman, Jacqueline C M; Wolffenbuttel, Bruce H R; Fox, Caroline S; Ala-Korpela, Mika; Stefansson, Kari; Vollenweider, Peter; Völzke, Henry; Schadt, Eric E; Scott, James; Järvelin, Marjo-Riitta; Elliott, Paul; Kooner, Jaspal S

    2011-01-01

    Concentrations of liver enzymes in plasma are widely used as indicators of liver disease. We carried out a genome-wide association study in 61,089 individuals, identifying 42 loci associated with concentrations of liver enzymes in plasma, of which 32 are new associations (P = 10(-8) to P = 10(-190))

  15. Common genetic variants associated with cognitive performance identified using the proxy-phenotype method

    NARCIS (Netherlands)

    Rietveld, Cornelius A; Esko, Tõnu; Davies, Gail; Pers, Tune H; Turley, Patrick; Benyamin, Beben; Chabris, Christopher F; Emilsson, Valur; Johnson, Andrew D; Lee, James J; de Leeuw, Christiaan; Marioni, Riccardo E; Medland, Sarah E; Miller, Michael B; Rostapshova, Olga; van der Lee, Sven J; Vinkhuyzen, Anna A E; Amin, Najaf; Conley, Dalton; Derringer, Jaime; van Duijn, Cornelia M; Fehrmann, Rudolf; Franke, Lude; Glaeser, Edward L; Hansell, Narelle K; Hayward, Caroline; Iacono, William G; Ibrahim-Verbaas, Carla; Jaddoe, Vincent; Karjalainen, Juha; Laibson, David; Lichtenstein, Paul; Liewald, David C; Magnusson, Patrik K E; Martin, Nicholas G; McGue, Matt; McMahon, George; Pedersen, Nancy L; Pinker, Steven; Porteous, David J; Posthuma, Danielle; Rivadeneira, Fernando; Smith, Blair H; Starr, John M; Tiemeier, Henning; Timpson, Nicholas J; Trzaskowski, Maciej; Uitterlinden, André G; Verhulst, Frank C; Ward, Mary E; Wright, Margaret J; Davey Smith, George; Deary, Ian J; Johannesson, Magnus; Plomin, Robert; Visscher, Peter M; Benjamin, Daniel J; Cesarini, David; Koellinger, Philipp D

    2014-01-01

    We identify common genetic variants associated with cognitive performance using a two-stage approach, which we call the proxy-phenotype method. First, we conduct a genome-wide association study of educational attainment in a large sample (n = 106,736), which produces a set of 69 education-associated

  16. Genome-wide association study of systemic sclerosis identifies CD247 as a novel susceptibility locus

    Science.gov (United States)

    Radstake, Timothy R.D.J.; Gorlova, Olga; Rueda, Blanca; Martin, Jose-Ezequiel; Alizadeh, Behrooz Z.; Palomino-Morales, Rogelio; Coenen, Marieke J.; Vonk, Madelon C.; Voskuyl, Alexandre E.; Scheurwegh, Annemie J.; Broen, Jasper C.; van Riel, Piet L.C.M.; van ‘t Slot, Ruben; Italiaander, Annet; Ophoff, Roel A.; Riemekasten, Gabriela; Hunzelmann, Nico; Simeon, Carmen P.; Ortego-Centeno, Norberto; González-Gay, Miguel A.; González-Escribano, María F.; Airo, Paolo; van Laar, Jaap; Herrick, Ariane; Worthington, Jane; Hesselstrand, Roger; Smith, Vanessa; de Keyser, Filip; Houssiau, Fredric; Chee, Meng May; Madhok, R; Shiels, Paul; Westhovens, Rene; Kreuter, Alexander; Kiener, Hans; de Baere, Elfride; Witte, Torsten; Padykov, Leonid; Klareskog, Lars; Beretta, Lorenzo; Scorza, Rafaella; Lie, Benedicte A.; Hoffman-Vold, Anna-Maria; Carreira, P; Varga, J.; Hinchcliff, M.; Gregersen, Peter; Lee, Annette T.; Ying, Jun; Han, Younghun; Weng, Shih-Feng; Amos, Christopher I.; Wigley, Fredrick M.; Hummers, Laura; Nelson, J. Lee; Agarwal, Sandeep K.; Assassi, Shervin; Gourh, Pravitt; Tan, Filemon K.; Koeleman, Bobby P.C.; Arnett, Frank C; Martin, Javier; Mayes, Maureen D.

    2010-01-01

    Systemic sclerosis (SSc) is an autoimmune disease characterized by fibrosis of the skin and internal organs that leads to profound disability and premature death. To identify novel SSc susceptibility loci we conducted the first genome wide association study (GWAS) in a population of Caucasian ancestry including a total of 2296 SSc patients and 5171 controls. Analysis of 279,621 autosomal single nucleotide polymorphisms (SNPs) followed by replication testing in an independent case-control set of European ancestry (2,753 SSc patients / 4,569 controls) identified a new susceptibility locus for systemic sclerosis at CD247 (1q22-23; rs2056626, P = 2.09 × 10−7 in the discovery samples, P = 3.39 × 10−9 in the combined analysis). Additionally, we confirm and firmly establish the role of MHC (2.31 × 10−18), IRF5 (P =1.86 × 10−13) and STAT4 (P =3.37 × 10−9) gene regions as SSc genetic risk factors. PMID:20383147

  17. Brief Report: IRF4 Newly Identified as a Common Susceptibility Locus for Systemic Sclerosis and Rheumatoid Arthritis in a Cross-Disease Meta-Analysis of Genome-Wide Association Studies

    NARCIS (Netherlands)

    López-Isac, Elena; Martín, Jose Ezequiel; Assassi, Shervin; Simeón, Carmen P.; Carreira, Patricia; Ortego-Centeno, Norberto; Freire, Mayka; Beltrán, Emma; Narváez, Javier; Alegre-Sancho, Juan J.; Fernández-Gutiérrez, Benjamín; Balsa, Alejandro; Ortiz, Ana M.; González-Gay, Miguel A.; Beretta, Lorenzo; Santaniello, Alessandro; Bellocchi, Chiara; Lunardi, Claudio; Moroncini, Gianluca; Gabrielli, Armando; Witte, Torsten; Hunzelmann, Nicolas; Distler, Jörg H W; Riekemasten, Gabriella; van der Helm-van Mil, Annette H.; de Vries-Bouwstra, Jeska; Magro-Checa, Cesar; Voskuyl, Alexandre E.; Vonk, Madelon C.; Molberg, Øyvind; Merriman, Tony; Hesselstrand, Roger; Nordin, Annika; Padyukov, Leonid; Herrick, Ariane; Eyre, Steve; Koeleman, Bobby P C; Denton, Christopher P.; Fonseca, Carmen; Radstake, Timothy R D J; Worthington, Jane; Mayes, Maureen D.; Martín, Javier; Ríos, Raquel; Callejas, Jose Luis; Hitos, José Antonio Vargas; Portales, Rosa García; Camps, María Teresa; Fernández-Nebro, Antonio; González-Escribano, María F.; García-Hernández, Francisco José; Castillo, Ma Jesús; Ángeles Aguirre, Ma; Gómez-Gracia, Inmaculada; Rodríguez-Rodríguez, Luis; Peña, Paloma García de la; Vicente, Esther; Andreu, José Luis; de Castro, Mónica Fernández; López-Longo, Francisco Javier; Martínez, Lina; Fonollosa, Vicente; Guillén, Alfredo; Castellví, Iván; Espinosa, Gerard; Tolosa, Carlos; Pros, Anna; Carballeira, Mónica Rodríguez; Narváez, Francisco Javier; Rivas, Manel Rubio; Ortiz-Santamaría, Vera; Madroñero, Ana Belén; Díaz, Bernardino; Trapiella, Luis; Sousa, Adrián; Egurbide, María Victoria; Mateo, Patricia Fanlo; Sáez-Comet, Luis; Díaz, Federico; Hernández, Vanesa; Beltrán, Emma; Román-Ivorra, José Andrés; Grau, Elena; Alegre-Sancho, Juan José; Blanco García, Francisco J.; Oreiro, Natividad

    2016-01-01

    Objective: Systemic sclerosis (SSc) and rheumatoid arthritis (RA) are autoimmune diseases that have similar clinical and immunologic characteristics. To date, several shared SSc–RA genetic loci have been identified independently. The aim of the current study was to systematically search for new comm

  18. Rice Transcriptome Analysis to Identify Possible Herbicide Quinclorac Detoxification Genes

    Directory of Open Access Journals (Sweden)

    Wenying eXu

    2015-09-01

    Full Text Available Quinclorac is a highly selective auxin-type herbicide, and is widely used in the effective control of barnyard grass in paddy rice fields, improving the world’s rice yield. The herbicide mode of action of quinclorac has been proposed and hormone interactions affect quinclorac signaling. Because of widespread use, quinclorac may be transported outside rice fields with the drainage waters, leading to soil and water pollution and environmental health problems.In this study, we used 57K Affymetrix rice whole-genome array to identify quinclorac signaling response genes to study the molecular mechanisms of action and detoxification of quinclorac in rice plants. Overall, 637 probe sets were identified with differential expression levels under either 6 or 24 h of quinclorac treatment. Auxin-related genes such as GH3 and OsIAAs responded to quinclorac treatment. Gene Ontology analysis showed that genes of detoxification-related family genes were significantly enriched, including cytochrome P450, GST, UGT, and ABC and drug transporter genes. Moreover, real-time RT-PCR analysis showed that top candidate P450 families such as CYP81, CYP709C and CYP72A genes were universally induced by different herbicides. Some Arabidopsis genes for the same P450 family were up-regulated under quinclorac treatment.We conduct rice whole-genome GeneChip analysis and the first global identification of quinclorac response genes. This work may provide potential markers for detoxification of quinclorac and biomonitors of environmental chemical pollution.

  19. Identifying Sources of Difference in Reliability in Content Analysis

    Directory of Open Access Journals (Sweden)

    Elizabeth Murphy

    2005-07-01

    Full Text Available This paper reports on a case study which identifies and illustrates sources of difference in agreement in relation to reliability in a context of quantitative content analysis of a transcript of an online asynchronous discussion (OAD. Transcripts of 10 students in a month-long online asynchronous discussion were coded by two coders using an instrument with two categories, five processes, and 19 indicators of Problem Formulation and Resolution (PFR. Sources of difference were identified in relation to: coders; tasks; and students. Reliability values were calculated at the levels of categories, processes, and indicators. At the most detailed level of coding on the basis of the indicator, findings revealed that the overall level of reliability between coders was .591 when measured with Cohen’s kappa. The difference between tasks at the same level ranged from .349 to .664, and the difference between participants ranged from .390 to .907. Implications for training and research are discussed.

  20. Identifying Protein-Protein Associations at the Nuclear Envelope with BioID.

    Science.gov (United States)

    Kim, Dae In; Jensen, Samuel C; Roux, Kyle J

    2016-01-01

    The nuclear envelope (NE) is a critical cellular structure whose constituents and roles in a myriad of cellular processes seem ever expanding. To determine the underlying mechanisms by which the NE constituents participate in various cellular events, it is necessary to understand the nature of their protein-protein associations. BioID (proximity-dependent biotin identification) is a recently established method to generate a history of protein-protein associations as they occur over time in living cells. BioID is based on fusion of a bait protein to a promiscuous biotin ligase. Expression of the BioID fusion protein in a relevant cellular environment enables biotinylation of vicinal and interacting proteins of the bait protein, permitting isolation and identification by conventional biotin-affinity capture and mass-spec analysis. In this way, BioID provides unique capabilities to identify protein-protein associations at the NE. In this chapter we provide a detailed protocol for the application of BioID to the study of NE proteins.

  1. Genome-wide association studies identify four ER negative–specific breast cancer risk loci

    Science.gov (United States)

    Garcia-Closas, Montserrat; Couch, Fergus J; Lindstrom, Sara; Michailidou, Kyriaki; Schmidt, Marjanka K; Brook, Mark N; orr, Nick; Rhie, Suhn Kyong; Riboli, Elio; Feigelson, Heather s; Le Marchand, Loic; Buring, Julie E; Eccles, Diana; Miron, Penelope; Fasching, Peter A; Brauch, Hiltrud; Chang-Claude, Jenny; Carpenter, Jane; Godwin, Andrew K; Nevanlinna, Heli; Giles, Graham G; Cox, Angela; Hopper, John L; Bolla, Manjeet K; Wang, Qin; Dennis, Joe; Dicks, Ed; Howat, Will J; Schoof, Nils; Bojesen, Stig E; Lambrechts, Diether; Broeks, Annegien; Andrulis, Irene L; Guénel, Pascal; Burwinkel, Barbara; Sawyer, Elinor J; Hollestelle, Antoinette; Fletcher, Olivia; Winqvist, Robert; Brenner, Hermann; Mannermaa, Arto; Hamann, Ute; Meindl, Alfons; Lindblom, Annika; Zheng, Wei; Devillee, Peter; Goldberg, Mark S; Lubinski, Jan; Kristensen, Vessela; Swerdlow, Anthony; Anton-Culver, Hoda; Dörk, Thilo; Muir, Kenneth; Matsuo, Keitaro; Wu, Anna H; Radice, Paolo; Teo, Soo Hwang; Shu, Xiao-Ou; Blot, William; Kang, Daehee; Hartman, Mikael; Sangrajrang, Suleeporn; Shen, Chen-Yang; Southey, Melissa C; Park, Daniel J; Hammet, Fleur; Stone, Jennifer; Veer, Laura J Van’t; Rutgers, Emiel J; Lophatananon, Artitaya; Stewart-Brown, Sarah; Siriwanarangsan, Pornthep; Peto, Julian; Schrauder, Michael G; Ekici, Arif B; Beckmann, Matthias W; Silva, Isabel dos Santos; Johnson, Nichola; Warren, Helen; Tomlinson, Ian; Kerin, Michael J; Miller, Nicola; Marme, Federick; Schneeweiss, Andreas; Sohn, Christof; Truong, Therese; Laurent-Puig, Pierre; Kerbrat, Pierre; Nordestgaard, Børge G; Nielsen, Sune F; Flyger, Henrik; Milne, Roger L; Perez, Jose Ignacio Arias; Menéndez, Primitiva; Müller, Heiko; Arndt, Volker; Stegmaier, Christa; Lichtner, Peter; Lochmann, Magdalena; Justenhoven, Christina; Ko, Yon-Dschun; Muranen, Taru A; Aittomäki, Kristiina; Blomqvist, Carl; Greco, Dario; Heikkinen, Tuomas; Ito, Hidemi; Iwata, Hiroji; Yatabe, Yasushi; Antonenkova, Natalia N; Margolin, Sara; Kataja, Vesa; Kosma, Veli-Matti; Hartikainen, Jaana M; Balleine, Rosemary; Tseng, Chiu-Chen; Van Den Berg, David; Stram, Daniel O; Neven, Patrick; Dieudonné, Anne-Sophie; Leunen, Karin; Rudolph, Anja; Nickels, Stefan; Flesch-Janys, Dieter; Peterlongo, Paolo; Peissel, Bernard; Bernard, Loris; Olson, Janet E; Wang, Xianshu; Stevens, Kristen; Severi, Gianluca; Baglietto, Laura; Mclean, Catriona; Coetzee, Gerhard A; Feng, Ye; Henderson, Brian E; Schumacher, Fredrick; Bogdanova, Natalia V; Labrèche, France; Dumont, Martine; Yip, Cheng Har; Taib, Nur Aishah Mohd; Cheng, Ching-Yu; Shrubsole, Martha; Long, Jirong; Pylkäs, Katri; Jukkola-Vuorinen, Arja; Kauppila, Saila; knight, Julia A; Glendon, Gord; Mulligan, Anna Marie; Tollenaar, Robertus A E M; Seynaeve, Caroline M; Kriege, Mieke; Hooning, Maartje J; Van den Ouweland, Ans M W; Van Deurzen, Carolien H M; Lu, Wei; Gao, Yu-Tang; Cai, Hui; Balasubramanian, Sabapathy P; Cross, Simon S; Reed, Malcolm W R; Signorello, Lisa; Cai, Qiuyin; Shah, Mitul; Miao, Hui; Chan, Ching Wan; Chia, Kee Seng; Jakubowska, Anna; Jaworska, Katarzyna; Durda, Katarzyna; Hsiung, Chia-Ni; Wu, Pei-Ei; Yu, Jyh-Cherng; Ashworth, Alan; Jones, Michael; Tessier, Daniel C; González-Neira, Anna; Pita, Guillermo; Alonso, M Rosario; Vincent, Daniel; Bacot, Francois; Ambrosone, Christine B; Bandera, Elisa V; John, Esther M; Chen, Gary K; Hu, Jennifer J; Rodriguez-gil, Jorge L; Bernstein, Leslie; Press, Michael F; Ziegler, Regina G; Millikan, Robert M; Deming-Halverson, Sandra L; Nyante, Sarah; Ingles, Sue A; Waisfisz, Quinten; Tsimiklis, Helen; Makalic, Enes; Schmidt, Daniel; Bui, Minh; Gibson, Lorna; Müller-Myhsok, Bertram; Schmutzler, Rita K; Hein, Rebecca; Dahmen, Norbert; Beckmann, Lars; Aaltonen, Kirsimari; Czene, Kamila; Irwanto, Astrid; Liu, Jianjun; Turnbull, Clare; Rahman, Nazneen; Meijers-Heijboer, Hanne; Uitterlinden, Andre G; Rivadeneira, Fernando; Olswold, Curtis; Slager, Susan; Pilarski, Robert; Ademuyiwa, Foluso; Konstantopoulou, Irene; Martin, Nicholas G; Montgomery, Grant W; Slamon, Dennis J; Rauh, Claudia; Lux, Michael P; Jud, Sebastian M; Bruning, Thomas; Weaver, Joellen; Sharma, Priyanka; Pathak, Harsh; Tapper, Will; Gerty, Sue; Durcan, Lorraine; Trichopoulos, Dimitrios; Tumino, Rosario; Peeters, Petra H; Kaaks, Rudolf; Campa, Daniele; Canzian, Federico; Weiderpass, Elisabete; Johansson, Mattias; Khaw, Kay-Tee; Travis, Ruth; Clavel-Chapelon, Françoise; Kolonel, Laurence N; Chen, Constance; Beck, Andy; Hankinson, Susan E; Berg, Christine D; Hoover, Robert N; Lissowska, Jolanta; Figueroa, Jonine D

    2013-01-01

    Estrogen receptor (ER)-negative tumors represent 20–30% of all breast cancers, with a higher proportion occurring in younger women and women of African ancestry1. The etiology2 and clinical behavior3 of ER-negative tumors are different from those of tumors expressing ER (ER positive), including differences in genetic predisposition4. To identify susceptibility loci specific to ER-negative disease, we combined in a meta-analysis 3 genome-wide association studies of 4,193 ER-negative breast cancer cases and 35,194 controls with a series of 40 follow-up studies (6,514 cases and 41,455 controls), genotyped using a custom Illumina array, iCOGS, developed by the Collaborative Oncological Gene-environment Study (COGS). SNPs at four loci, 1q32.1 (MDM4, P = 2.1 × 10−12 and LGR6, P = 1.4 × 10−8), 2p24.1 (P = 4.6 × 10−8) and 16q12.2 (FTO, P = 4.0 × 10−8), were associated with ER-negative but not ER-positive breast cancer (P > 0.05). These findings provide further evidence for distinct etiological pathways associated with invasive ER-positive and ER-negative breast cancers. PMID:23535733

  2. Machine learning approach identifies new pathways associated with demyelination in a viral model of multiple sclerosis

    Science.gov (United States)

    Ulrich, Reiner; Kalkuhl, Arno; Deschl, Ulrich; Baumgärtner, Wolfgang

    2010-01-01

    Abstract Theiler’s murine encephalomyelitis is an experimentally virus-induced inflammatory demyelinating disease of the spinal cord, displaying clinical and pathological similarities to chronic progressive multiple sclerosis. The aim of this study was to identify pathways associated with chronic demyelination using an assumption-free combined microarray and immunohistology approach. Movement control as determined by rotarod assay significantly worsened in Theiler’s murine encephalomyelitis -virus-infected SJL/J mice from 42 to 196 days after infection (dpi). In the spinal cords, inflammatory changes were detected 14 to 196 dpi, and demyelination progressively increased from 42 to 196 dpi. Microarray analysis revealed 1001 differentially expressed genes over the study period. The dominating changes as revealed by k-means and functional annotation clustering included up-regulations related to intrathecal antibody production and antigen processing and presentation via major histocompatibility class II molecules. A random forest machine learning algorithm revealed that down-regulated lipid and cholesterol biosynthesis, differentially expressed neurite morphogenesis and up-regulated toll-like receptor-4-induced pathways were intimately associated with demyelination as measured by immunohistology. Conclusively, although transcriptional changes were dominated by the adaptive immune response, the main pathways associated with demyelination included up-regulation of toll-like receptor 4 and down-regulation of cholesterol biosynthesis. Cholesterol biosynthesis is a rate limiting step of myelination and its down-regulation is suggested to be involved in chronic demyelination by an inhibition of remyelination. PMID:19183246

  3. Imputation and subset-based association analysis across different cancer types identifies multiple independent risk loci in the TERT-CLPTM1L region on chromosome 5p15.33

    DEFF Research Database (Denmark)

    Wang, Zhaoming; Zhu, Bin; Zhang, Mingfeng

    2014-01-01

    Genome-wide association studies (GWAS) have mapped risk alleles for at least 10 distinct cancers to a small region of 63 000 bp on chromosome 5p15.33. This region harbors the TERT and CLPTM1L genes; the former encodes the catalytic subunit of telomerase reverse transcriptase and the latter may pl...

  4. Genome-wide meta-analysis of homocysteine and methionine metabolism identifies five one carbon metabolism loci and a novel association of ALDH1L1 with ischemic stroke

    Science.gov (United States)

    Circulating homocysteine levels (tHcy), a product of the folate one carbon metabolism pathway (FOCM) through the demethylation of methionine, are heritable and are associated with an increased risk of common diseases such as stroke, cardiovascular disease (CVD), cancer and dementia. The FOCM is the ...

  5. Lidar point density analysis: implications for identifying water bodies

    Science.gov (United States)

    Worstell, Bruce B.; Poppenga, Sandra; Evans, Gayla A.; Prince, Sandra

    2014-01-01

    Most airborne topographic light detection and ranging (lidar) systems operate within the near-infrared spectrum. Laser pulses from these systems frequently are absorbed by water and therefore do not generate reflected returns on water bodies in the resulting void regions within the lidar point cloud. Thus, an analysis of lidar voids has implications for identifying water bodies. Data analysis techniques to detect reduced lidar return densities were evaluated for test sites in Blackhawk County, Iowa, and Beltrami County, Minnesota, to delineate contiguous areas that have few or no lidar returns. Results from this study indicated a 5-meter radius moving window with fewer than 23 returns (28 percent of the moving window) was sufficient for delineating void regions. Techniques to provide elevation values for void regions to flatten water features and to force channel flow in the downstream direction also are presented.

  6. Genome-wide association study identifies 74 loci associated with educational attainment

    DEFF Research Database (Denmark)

    Okbay, Aysu; P. Beauchamp, Jonathan; Alan Fontana, Mark;

    2016-01-01

    -nucleotide polymorphisms associated with educational attainment are disproportionately found in genomic regions regulating gene expression in the fetal brain. Candidate genes are preferentially expressed in neural tissue, especially during the prenatal period, and enriched for biological pathways involved in neural...

  7. Genome-wide association studies in the Japanese population identify seven novel loci for type 2 diabetes

    DEFF Research Database (Denmark)

    Imamura, Minako; Takahashi, Atsushi; Yamauchi, Toshimasa

    2016-01-01

    Genome-wide association studies (GWAS) have identified more than 80 susceptibility loci for type 2 diabetes (T2D), but most of its heritability still remains to be elucidated. In this study, we conducted a meta-analysis of GWAS for T2D in the Japanese population. Combined data from discovery and ...

  8. Genome-wide meta-analysis identifies new susceptibility loci for migraine

    DEFF Research Database (Denmark)

    Anttila, Verneri; Winsvold, Bendik S; Gormley, Padhraig

    2013-01-01

    Migraine is the most common brain disorder, affecting approximately 14% of the adult population, but its molecular mechanisms are poorly understood. We report the results of a meta-analysis across 29 genome-wide association studies, including a total of 23,285 individuals with migraine (cases......) and 95,425 population-matched controls. We identified 12 loci associated with migraine susceptibility (P

  9. Genome-Wide analysis of allelic imbalance in laser microdissected prostate cancer tissue using the Affymetrix 50K Mapping array identifies genomic patterns associated with metastasis and differentiation

    DEFF Research Database (Denmark)

    Tørring, Niels; Borre, Michael; Sørensen, Karina;

    2007-01-01

    to be developed for patient stratification based on risk of progression. We analysed laser-microdissected prostate tumour tissue from 43 patients with histologically verified PCa, using the new high-resolution Affymetrix Mapping 50K single-nucleotide polymorphism array. The results showed six major loss......, tumour progression towards a metastatic stage, as well as poor differentiation, was identified by specific patterns of copy number gains of genomic regions located at chromosomes 8q, 1q, 3q and 7q. Androgen ablation therapy was further characterised by copy gain at chromosomes 2p and 10q. In conclusion...

  10. Cluster analysis of clinical data identifies fibromyalgia subgroups.

    Directory of Open Access Journals (Sweden)

    Elisa Docampo

    Full Text Available INTRODUCTION: Fibromyalgia (FM is mainly characterized by widespread pain and multiple accompanying symptoms, which hinder FM assessment and management. In order to reduce FM heterogeneity we classified clinical data into simplified dimensions that were used to define FM subgroups. MATERIAL AND METHODS: 48 variables were evaluated in 1,446 Spanish FM cases fulfilling 1990 ACR FM criteria. A partitioning analysis was performed to find groups of variables similar to each other. Similarities between variables were identified and the variables were grouped into dimensions. This was performed in a subset of 559 patients, and cross-validated in the remaining 887 patients. For each sample and dimension, a composite index was obtained based on the weights of the variables included in the dimension. Finally, a clustering procedure was applied to the indexes, resulting in FM subgroups. RESULTS: VARIABLES CLUSTERED INTO THREE INDEPENDENT DIMENSIONS: "symptomatology", "comorbidities" and "clinical scales". Only the two first dimensions were considered for the construction of FM subgroups. Resulting scores classified FM samples into three subgroups: low symptomatology and comorbidities (Cluster 1, high symptomatology and comorbidities (Cluster 2, and high symptomatology but low comorbidities (Cluster 3, showing differences in measures of disease severity. CONCLUSIONS: We have identified three subgroups of FM samples in a large cohort of FM by clustering clinical data. Our analysis stresses the importance of family and personal history of FM comorbidities. Also, the resulting patient clusters could indicate different forms of the disease, relevant to future research, and might have an impact on clinical assessment.

  11. A meta-analysis of 87,040 individuals identifies 23 new susceptibility loci for prostate cancer.

    Science.gov (United States)

    Al Olama, Ali Amin; Kote-Jarai, Zsofia; Berndt, Sonja I; Conti, David V; Schumacher, Fredrick; Han, Ying; Benlloch, Sara; Hazelett, Dennis J; Wang, Zhaoming; Saunders, Ed; Leongamornlert, Daniel; Lindstrom, Sara; Jugurnauth-Little, Sara; Dadaev, Tokhir; Tymrakiewicz, Malgorzata; Stram, Daniel O; Rand, Kristin; Wan, Peggy; Stram, Alex; Sheng, Xin; Pooler, Loreall C; Park, Karen; Xia, Lucy; Tyrer, Jonathan; Kolonel, Laurence N; Le Marchand, Loic; Hoover, Robert N; Machiela, Mitchell J; Yeager, Merideth; Burdette, Laurie; Chung, Charles C; Hutchinson, Amy; Yu, Kai; Goh, Chee; Ahmed, Mahbubl; Govindasami, Koveela; Guy, Michelle; Tammela, Teuvo L J; Auvinen, Anssi; Wahlfors, Tiina; Schleutker, Johanna; Visakorpi, Tapio; Leinonen, Katri A; Xu, Jianfeng; Aly, Markus; Donovan, Jenny; Travis, Ruth C; Key, Tim J; Siddiq, Afshan; Canzian, Federico; Khaw, Kay-Tee; Takahashi, Atsushi; Kubo, Michiaki; Pharoah, Paul; Pashayan, Nora; Weischer, Maren; Nordestgaard, Borge G; Nielsen, Sune F; Klarskov, Peter; Røder, Martin Andreas; Iversen, Peter; Thibodeau, Stephen N; McDonnell, Shannon K; Schaid, Daniel J; Stanford, Janet L; Kolb, Suzanne; Holt, Sarah; Knudsen, Beatrice; Coll, Antonio Hurtado; Gapstur, Susan M; Diver, W Ryan; Stevens, Victoria L; Maier, Christiane; Luedeke, Manuel; Herkommer, Kathleen; Rinckleb, Antje E; Strom, Sara S; Pettaway, Curtis; Yeboah, Edward D; Tettey, Yao; Biritwum, Richard B; Adjei, Andrew A; Tay, Evelyn; Truelove, Ann; Niwa, Shelley; Chokkalingam, Anand P; Cannon-Albright, Lisa; Cybulski, Cezary; Wokołorczyk, Dominika; Kluźniak, Wojciech; Park, Jong; Sellers, Thomas; Lin, Hui-Yi; Isaacs, William B; Partin, Alan W; Brenner, Hermann; Dieffenbach, Aida Karina; Stegmaier, Christa; Chen, Constance; Giovannucci, Edward L; Ma, Jing; Stampfer, Meir; Penney, Kathryn L; Mucci, Lorelei; John, Esther M; Ingles, Sue A; Kittles, Rick A; Murphy, Adam B; Pandha, Hardev; Michael, Agnieszka; Kierzek, Andrzej M; Blot, William; Signorello, Lisa B; Zheng, Wei; Albanes, Demetrius; Virtamo, Jarmo; Weinstein, Stephanie; Nemesure, Barbara; Carpten, John; Leske, Cristina; Wu, Suh-Yuh; Hennis, Anselm; Kibel, Adam S; Rybicki, Benjamin A; Neslund-Dudas, Christine; Hsing, Ann W; Chu, Lisa; Goodman, Phyllis J; Klein, Eric A; Zheng, S Lilly; Batra, Jyotsna; Clements, Judith; Spurdle, Amanda; Teixeira, Manuel R; Paulo, Paula; Maia, Sofia; Slavov, Chavdar; Kaneva, Radka; Mitev, Vanio; Witte, John S; Casey, Graham; Gillanders, Elizabeth M; Seminara, Daniella; Riboli, Elio; Hamdy, Freddie C; Coetzee, Gerhard A; Li, Qiyuan; Freedman, Matthew L; Hunter, David J; Muir, Kenneth; Gronberg, Henrik; Neal, David E; Southey, Melissa; Giles, Graham G; Severi, Gianluca; Cook, Michael B; Nakagawa, Hidewaki; Wiklund, Fredrik; Kraft, Peter; Chanock, Stephen J; Henderson, Brian E; Easton, Douglas F; Eeles, Rosalind A; Haiman, Christopher A

    2014-10-01

    Genome-wide association studies (GWAS) have identified 76 variants associated with prostate cancer risk predominantly in populations of European ancestry. To identify additional susceptibility loci for this common cancer, we conducted a meta-analysis of > 10 million SNPs in 43,303 prostate cancer cases and 43,737 controls from studies in populations of European, African, Japanese and Latino ancestry. Twenty-three new susceptibility loci were identified at association P discover risk loci for disease.

  12. Genome-Wide Association Study of Blood Pressure Extremes Identifies Variant near UMOD Associated with Hypertension

    NARCIS (Netherlands)

    Padmanabhan, Sandosh; Melander, Olle; Johnson, Toby; Di Blasio, Anna Maria; Lee, Wai K.; Gentilini, Davide; Hastie, Claire E.; Menni, Cristina; Monti, Maria Cristina; Delles, Christian; Laing, Stewart; Corso, Barbara; Navis, Gerjan; Kwakernaak, Arjan J.; van der Harst, Pim; Bochud, Murielle; Maillard, Marc; Burnier, Michel; Hedner, Thomas; Kjeldsen, Sverre; Wahlstrand, Bjorn; Sjogren, Marketa; Fava, Cristiano; Montagnana, Martina; Danese, Elisa; Torffvit, Ole; Hedblad, Bo; Snieder, Harold; Connell, John M. C.; Brown, Morris; Samani, Nilesh J.; Farrall, Martin; Cesana, Giancarlo; Mancia, Giuseppe; Signorini, Stefano; Grassi, Guido; Eyheramendy, Susana; Wichmann, H. Erich; Laan, Maris; Strachan, David P.; Sever, Peter; Shields, Denis Colm; Stanton, Alice; Vollenweider, Peter; Teumer, Alexander; Voelzke, Henry; Rettig, Rainer; Newton-Cheh, Christopher; Arora, Pankaj; Zhang, Feng; Soranzo, Nicole; Spector, Timothy D.; Lucas, Gavin; Kathiresan, Sekar; Siscovick, David S.; Luan, Jian'an; Loos, Ruth J. F.; Wareham, Nicholas J.; Penninx, Brenda W.; Nolte, Ilja M.; McBride, Martin; Miller, William H.; Nicklin, Stuart A.; Baker, Andrew H.; Graham, Delyth; McDonald, Robert A.; Pell, Jill P.; Sattar, Naveed; Welsh, Paul; Munroe, Patricia; Caulfield, Mark J.; Zanchetti, Alberto; Dominiczak, Anna F.; Volzke, H.

    2010-01-01

    Hypertension is a heritable and major contributor to the global burden of disease. The sum of rare and common genetic variants robustly identified so far explain only 1%-2% of the population variation in BP and hypertension. This suggests the existence of more undiscovered common variants. We conduc

  13. 75 FR 61572 - Additional Identifying Information Associated With Persons Whose Property and Interests in...

    Science.gov (United States)

    2010-10-05

    ... and Taking Certain Other Actions'' AGENCY: Office of Foreign Assets Control, Treasury. ACTION: Notice. SUMMARY: The Treasury Department's Office of Foreign Assets Control (``OFAC'') is publishing additional... Office of Foreign Assets Control Additional Identifying Information Associated With Persons...

  14. Genome-wide association study identifies variants in the ABO locus associated with susceptibility to pancreatic cancer

    Science.gov (United States)

    Amundadottir, Laufey; Kraft, Peter; Stolzenberg-Solomon, Rachael Z.; Fuchs, Charles S.; Petersen, Gloria M.; Arslan, Alan A.; Bueno-de-Mesquita, H. Bas; Gross, Myron; Helzlsouer, Kathy; Jacobs, Eric J.; LaCroix, Andrea; Zheng, Wei; Albanes, Demetrius; Bamlet, William; Berg, Christine D.; Berrino, Franco; Bingham, Sheila; Buring, Julie E.; Bracci, Paige M.; Canzian, Federico; Clavel-Chapelon, Françoise; Clipp, Sandra; Cotterchio, Michelle; de Andrade, Mariza; Duell, Eric J.; Fox, John W.; Gallinger, Steven; Gaziano, J. Michael; Giovannucci, Edward L.; Goggins, Michael; González, Carlos A.; Hallmans, Göran; Hankinson, Susan E.; Hassan, Manal; Holly, Elizabeth A.; Hunter, David J.; Hutchinson, Amy; Jackson, Rebecca; Jacobs, Kevin B.; Jenab, Mazda; Kaaks, Rudolf; Klein, Alison P.; Kooperberg, Charles; Kurtz, Robert C.; Li, Donghui; Lynch, Shannon M.; Mandelson, Margaret; McWilliams, Robert R.; Mendelsohn, Julie B.; Michaud, Dominique S.; Olson, Sara H.; Overvad, Kim; Patel, Alpa V.; Peeters, Petra H.M.; Rajkovic, Aleksandar; Riboli, Elio; Risch, Harvey A.; Shu, Xiao-Ou; Thomas, Gilles; Tobias, Geoffrey S.; Trichopoulos, Dimitrios; Van Den Eeden, Stephen K.; Virtamo, Jarmo; Wactawski-Wende, Jean; Wolpin, Brian M.; Yu, Herbert; Yu, Kai; Zeleniuch-Jacquotte, Anne; Chanock, Stephen J.; Hartge, Patricia; Hoover, Robert N.

    2010-01-01

    We conducted a two-stage genome-wide association study (GWAS) of pancreatic cancer, a cancer with one of the poorest survival rates worldwide. Initially, we genotyped 558,542 single nucleotide polymorphisms in 1,896 incident cases and 1,939 controls drawn from twelve prospective cohorts plus one hospital-based case-control study. In a combined analysis adjusted for study, sex, ancestry and five principal components that included an additional 2,457 cases and 2,654 controls from eight case-control studies, we identified an association between a locus on 9q34 and pancreatic cancer marked by the single nucleotide polymorphism, rs505922 (combined P=5.37 × 10-8; multiplicative per-allele odds ratio (OR) 1.20; 95% CI 1.12-1.28). This SNP maps to the first intron of the ABO blood group gene. Our results are consistent with earlier epidemiologic evidence suggesting that people with blood group O may have a lower risk of pancreatic cancer than those with groups A or B. PMID:19648918

  15. A validated gene regulatory network and GWAS identifies early regulators of T cell-associated diseases

    OpenAIRE

    Gustafsson, Mika; Gawel, Danuta; Alfredsson, Lars; Baranzini, Sergio; Bjorkander, Janne; Blomgran, Robert; Hellberg, Sandra; Eklund, Daniel; Ernerudh, Jan; KOCKUM, Ingrid; Konstantinell, Aelita; Lahesmaa, Riita; Lentini, Antonio; Liljenström, H. Robert I.; Mattson, Lina

    2015-01-01

    Early regulators of disease may increase understanding of disease mechanisms and serve as markers for presymptomatic diagnosis and treatment. However, early regulators are difficult to identify because patients generally present after they are symptomatic. We hypothesized that early regulators of T cell-associated diseases could be found by identifying upstream transcription factors (TFs) in T cell differentiation and by prioritizing hub TFs that were enriched for disease-associated polymorph...

  16. Genome-wide association study identifies eight loci associated with blood pressure

    NARCIS (Netherlands)

    Newton-Cheh, Christopher; Johnson, Toby; Gateva, Vesela; Tobin, Martin D.; Bochud, Murielle; Coin, Lachlan; Najjar, Samer S.; Zhao, Jing Hua; Heath, Simon C.; Eyheramendy, Susana; Papadakis, Konstantinos; Voight, Benjamin F.; Scott, Laura J.; Zhang, Feng; Farrall, Martin; Tanaka, Toshiko; Wallace, Chris; Chambers, John C.; Khaw, Kay-Tee; Nilsson, Peter; van der Harst, Pim; Polidoro, Silvia; Grobbee, Diederick E.; Onland-Moret, N. Charlotte; Bots, Michiel L.; Wain, Louise V.; Elliott, Katherine S.; Teumer, Alexander; Luan, Jian'an; Lucas, Gavin; Kuusisto, Johanna; Burton, Paul R.; Hadley, David; McArdle, Wendy L.; Brown, Morris; Dominiczak, Anna; Newhouse, Stephen J.; Samani, Nilesh J.; Webster, John; Zeggini, Eleftheria; Beckmann, Jacques S.; Bergmann, Sven; Lim, Noha; Song, Kijoung; Vollenweider, Peter; Waeber, Gerard; Waterworth, Dawn M.; Yuan, Xin; Groop, Leif; Orho-Melander, Marju; Allione, Alessandra; Di Gregorio, Alessandra; Guarrera, Simonetta; Panico, Salvatore; Ricceri, Fulvio; Romanazzi, Valeria; Sacerdote, Carlotta; Vineis, Paolo; Barroso, Ines; Sandhu, Manjinder S.; Luben, Robert N.; Crawford, Gabriel J.; Jousilahti, Pekka; Perola, Markus; Boehnke, Michael; Bonnycastle, Lori L.; Collins, Francis S.; Jackson, Anne U.; Mohlke, Karen L.; Stringham, Heather M.; Valle, Timo T.; Willer, Cristen J.; Bergman, Richard N.; Morken, Mario A.; Doering, Angela; Gieger, Christian; Illig, Thomas; Meitinger, Thomas; Org, Elin; Pfeufer, Arne; Wichmann, H. Erich; Kathiresan, Sekar; Marrugat, Jaume; O'Donnell, Christopher J.; Schwartz, Stephen M.; Siscovick, David S.; Subirana, Isaac; Freimer, Nelson B.; Hartikainen, Anna-Liisa; McCarthy, Mark I.; O'Reilly, Paul F.; Peltonen, Leena; Pouta, Anneli; de Jong, Paul E.; Snieder, Harold; van Gilst, Wiek H.; Clarke, Robert; Goel, Anuj; Hamsten, Anders; Peden, John F.; Seedorf, Udo; Syvanen, Ann-Christine; Tognoni, Giovanni; Lakatta, Edward G.; Sanna, Serena; Scheet, Paul; Schlessinger, David; Scuteri, Angelo; Doerr, Marcus; Ernst, Florian; Felix, Stephan B.; Homuth, Georg; Lorbeer, Roberto; Reffelmann, Thorsten; Rettig, Rainer; Voelker, Uwe; Galan, Pilar; Gut, Ivo G.; Hercberg, Serge; Lathrop, G. Mark; Zelenika, Diana; Deloukas, Panos; Soranzo, Nicole; Williams, Frances M.; Zhai, Guangju; Salomaa, Veikko; Laakso, Markku; Elosua, Roberto; Forouhi, Nita G.; Volzke, Henry; Uiterwaal, Cuno S.; van der Schouw, Yvonne T.; Numans, Mattijs E.; Matullo, Giuseppe; Navis, Gerjan; Berglund, Goran; Bingham, Sheila A.; Kooner, Jaspal S.; Connell, John M.; Bandinelli, Stefania; Ferrucci, Luigi; Watkins, Hugh; Spector, Tim D.; Tuomilehto, Jaakko; Altshuler, David; Strachan, David P.; Laan, Maris; Meneton, Pierre; Wareham, Nicholas J.; Uda, Manuela; Jarvelin, Marjo-Riitta; Mooser, Vincent; Melander, Olle; Loos, Ruth J. F.; Elliott, Paul; Abecasis, Goncalo R.; Caulfield, Mark; Munroe, Patricia B.

    2009-01-01

    Elevated blood pressure is a common, heritable cause of cardiovascular disease worldwide. To date, identification of common genetic variants influencing blood pressure has proven challenging. We tested 2.5 million genotyped and imputed SNPs for association with systolic and diastolic blood pressure

  17. Genome-wide association analyses identify variants in developmental genes associated with hypospadias

    DEFF Research Database (Denmark)

    Geller, Frank; Feenstra, Bjarke; Carstensen, Lisbeth;

    2014-01-01

    Hypospadias is a common congenital condition in boys in which the urethra opens on the underside of the penis. We performed a genome-wide association study on 1,006 surgery-confirmed hypospadias cases and 5,486 controls from Denmark. After replication genotyping of an additional 1,972 cases and 1...

  18. Genome-wide association study identifies 74 loci associated with educational attainment

    NARCIS (Netherlands)

    Okbay, Aysu; Beauchamp, Jonathan P.; Fontana, Mark Alan; Lee, James J.; Pers, Tune H.; Rietveld, Cornelius A.; Turley, Patrick; Chen, Guo-Bo; Emilsson, Valur; Meddens, S. Fleur W.; Oskarsson, Sven; Pickrell, Joseph K.; Thom, Kevin; Timshel, Pascal; de Vlaming, Ronald; Abdellaoui, Abdel; Ahluwalia, Tarunveer S.; Bacelis, Jonas; Baumbach, Clemens; Bjornsdottir, Gyda; Brandsma, Johannes H.; Concas, Maria Pina; Derringer, Jaime; Furlotte, Nicholas A.; Galesloot, Tessel E.; Girotto, Giorgia; Gupta, Richa; Hall, Leanne M.; Harris, Sarah E.; Hofer, Edith; Horikoshi, Momoko; Huffman, Jennifer E.; Kaasik, Kadri; Kalafati, Ioanna P.; Karlsson, Robert; Kong, Augustine; Lahti, Jari; van der Lee, Sven J.; de Leeuw, Christiaan; Lind, Penelope A.; Lindgren, Karl-Oskar; Liu, Tian; Mangino, Massimo; Marten, Jonathan; Mihailov, Evelin; Miller, Michael B.; van der Most, Peter J.; Oldmeadow, Christopher; Payton, Antony; Pervjakova, Natalia; Peyrot, Wouter J.; Qian, Yong; Raitakari, Olli; Rueedi, Rico; Salvi, Erika; Schmidt, Brge; Schraut, Katharina E.; Shi, Jianxin; Smith, Albert V.; Poot, Raymond A.; St Pourcain, Beate; Teumer, Alexander; Thorleifsson, Gudmar; Verweij, Niek; Vuckovic, Dragana; Wellmann, Juergen; Westra, Harm-Jan; Yang, Jingyun; Zhao, Wei; Zhu, Zhihong; Alizadeh, Behrooz Z.; Amin, Najaf; Bakshi, Andrew; Baumeister, Sebastian E.; Biino, Ginevra; Bonnelykke, Klaus; Boyle, Patricia A.; Campbell, Harry; Cappuccio, Francesco P.; Davies, Gail; De Neve, Jan-Emmanuel; Deloukas, Panos; Demuth, Ilja; Ding, Jun; Eibich, Peter; Eisele, Lewin; Eklund, Niina; Evans, David M.; Faul, Jessica D.; Feitosa, Mary F.; Forstner, Andreas J.; Gandin, Ilaria; Gunnarsson, Bjarni; Halldorsson, Bjarni V.; Harris, Tamara B.; Heath, Andrew C.; Hocking, Lynne J.; Holliday, Elizabeth G.; Homuth, Georg; Horan, Michael A.; Hottenga, Jouke-Jan; de Jager, Philip L.; Joshi, Peter K.; Jugessur, Astanand; Kaakinen, Marika A.; Kahonen, Mika; Kanoni, Stavroula; Keltigangas-Jarvinen, Liisa; Kiemeney, Lambertus A. L. M.; Kolcic, Ivana; Koskinen, Seppo; Kraja, Aldi T.; Kroh, Martin; Kutalik, Zoltan; Latvala, Antti; Launer, Lenore J.; Lebreton, Mael P.; Levinson, Douglas F.; Lichtenstein, Paul; Lichtner, Peter; Liewald, David C. M.; Loukola, Anu; Madden, Pamela A.; Magi, Reedik; Maki-Opas, Tomi; Marioni, Riccardo E.; Marques-Vidal, Pedro; Meddens, Gerardus A.; McMahon, George; Meisinger, Christa; Meitinger, Thomas; Milaneschi, Yusplitri; Milani, Lili; Montgomery, Grant W.; Myhre, Ronny; Nelson, Christopher P.; Nyholt, Dale R.; Ollier, William E. R.; Palotie, Aarno; Paternoster, Lavinia; Pedersen, Nancy L.; Petrovic, Katja E.; Porteous, David J.; Raikkonen, Katri; Ring, Susan M.; Robino, Antonietta; Rostapshova, Olga; Rudan, Igor; Rustichini, Aldo; Salomaa, Veikko; Sanders, Alan R.; Sarin, Antti-Pekka; Schmidt, Helena; Scott, Rodney J.; Smith, Blair H.; Smith, Jennifer A.; Staessen, Jan A.; Steinhagen-Thiessen, Elisabeth; Strauch, Konstantin; Terracciano, Antonio; Tobin, Martin D.; Ulivi, Sheila; Vaccargiu, Simona; Quaye, Lydia; van Rooij, Frank J. A.; Venturini, Cristina; Vinkhuyzen, Anna A. E.; Volker, Uwe; Volzke, Henry; Vonk, Judith M.; Waage, Johannes; Ware, Erin B.; Willemsen, Gonneke; Attia, John R.; Bennett, David A.; Berger, Klaus; Bertram, Lars; Bisgaard, Hans; Boomsma, Dorret I.; Borecki, Ingrid B.; Bultmann, Ute; Chabris, Christopher F.; Cucca, Francesco; Cusi, Daniele; Deary, Ian J.; Dedoussis, George V.; van Duijn, Cornelia M.; Eriksson, Johan G.; Franke, Barbara; Franke, Lude; Gasparini, Paolo; Gejman, Pablo V.; Gieger, Christian; Grabe, Hans-Jorgen; Gratten, Jacob; Groenen, Patrick J. F.; Gudnason, Vilmundur; van der Harst, Pim; Hayward, Caroline; Hinds, David A.; Hoffmann, Wolfgang; Hyppnen, Elina; Iacono, William G.; Jacobsson, Bo; Jarvelin, Marjo-Riitta; Jockel, Karl-Heinz; Kaprio, Jaakko; Kardia, Sharon L. R.; Lehtimaki, Terho; Lehrer, Steven F.; Magnusson, Patrik K. E.; Martin, Nicholas G.; McGue, Matt; Metspalu, Andres; Pendleton, Neil; Penninx, Brenda W. J. H.; Perola, Markus; Pirastu, Nicola; Pirastu, Mario; Polasek, Ozren; Posthuma, Danielle; Power, Christine; Province, Michael A.; Samani, Nilesh J.; Schlessinger, David; Schmidt, Reinhold; Sorensen, Thorkild I. A.; Spector, Tim D.; Stefansson, Kari; Thorsteinsdottir, Unnur; Thurik, A. Roy; Timpson, Nicholas J.; Tiemeier, Henning; Tung, Joyce Y.; Uitterlinden, Andre G.; Vitart, Veronique; Vollenweider, Peter; Weir, David R.; Wilson, James F.; Wright, Alan F.; Conley, Dalton C.; Krueger, Robert F.; Smith, George Davey; Hofman, Albert; Laibson, David I.; Medland, Sarah E.; Meyer, Michelle N.; Yang, Jian; Johannesson, Magnus; Visscher, Peter M.; Esko, Tonu; Koellinger, Philipp D.; Cesarini, David; Benjamin, Daniel J.

    2016-01-01

    Educational attainment is strongly influenced by social and other environmental factors, but genetic factors are estimated to account for at least 20% of the variation across individuals(1). Here we report the results of a genome-wide association study (GWAS) for educational attainment that extends

  19. Meta-analyses of genome-wide association studies identify multiple loci associated with pulmonary function

    NARCIS (Netherlands)

    D.B. Hancock (Dana); M. Eijgelsheim (Mark); J.B. Wilk (Jemma); S.A. Gharib (Sina); L.R. Loehr (Laura); K. Marciante (Kristin); N. Franceschini (Nora); Y.M.T.A. van Durme; T.H. Chen; R.G. Barr (Graham); M.B. Schabath (Matthew); D.J. Couper (David); G.G. Brusselle (Guy); B.M. Psaty (Bruce); P. Tikka-Kleemola (Päivi); J.I. Rotter (Jerome); A.G. Uitterlinden (André); A. Hofman (Albert); N.M. Punjabi (Naresh); F. Rivadeneira Ramirez (Fernando); A.C. Morrison (Alanna); P.L. Enright (Paul); K.E. North (Kari); S.R. Heckbert (Susan); T. Lumley (Thomas); B.H.Ch. Stricker (Bruno); G.T. O'Connor (George); S.J. London (Stephanie)

    2010-01-01

    textabstractSpirometric measures of lung function are heritable traits that reflect respiratory health and predict morbidity and mortality. We meta-analyzed genome-wide association studies for two clinically important lung-function measures: forced expiratory volume in the first second (FEV1) and it

  20. Genome-wide association study identifies four loci associated with eruption of permanent teeth

    DEFF Research Database (Denmark)

    Geller, Frank; Feenstra, Bjarke; Zhang, Hao

    2011-01-01

    The sequence and timing of permanent tooth eruption is thought to be highly heritable and can have important implications for the risk of malocclusion, crowding, and periodontal disease. We conducted a genome-wide association study of number of permanent teeth erupted between age 6 and 14 years...

  1. Genome-wide Association Studies Identify Genetic Loci Associated With Albuminuria in Diabetes

    NARCIS (Netherlands)

    Teumer, Alexander; Tin, Adrienne; Sorice, Rossella; Gorski, Mathias; Yeo, Nan Cher; Chu, Audrey Y; Li, Man; Li, Yong; Mijatovic, Vladan; Ko, Yi-An; Taliun, Daniel; Luciani, Alessandro; Chen, Ming-Huei; Yang, Qiong; Foster, Meredith C; Olden, Matthias; Hiraki, Linda T; Tayo, Bamidele O; Fuchsberger, Christian; Dieffenbach, Aida Karina; Shuldiner, Alan R; Smith, Albert V; Zappa, Allison M; Lupo, Antonio; Kollerits, Barbara; Ponte, Belen; Stengel, Bénédicte; Krämer, Bernhard K; Paulweber, Bernhard; Mitchell, Braxton D; Hayward, Caroline; Helmer, Catherine; Meisinger, Christa; Gieger, Christian; Shaffer, Christian M; Müller, Christian; Langenberg, Claudia; Ackermann, Daniel; Siscovick, David; Boerwinkle, Eric; Kronenberg, Florian; Ehret, Georg B; Homuth, Georg; Waeber, Gerard; Navis, Gerjan; Gambaro, Giovanni; Malerba, Giovanni; Eiriksdottir, Gudny; Li, Guo; Wichmann, H Erich; Grallert, Harald; Wallaschofski, Henri; Völzke, Henry; Brenner, Herrmann; Kramer, Holly; Mateo Leach, I; Rudan, Igor; Hillege, Hans L; Beckmann, Jacques S; Lambert, Jean Charles; Luan, Jian'an; Zhao, Jing Hua; Chalmers, John; Coresh, Josef; Denny, Joshua C; Butterbach, Katja; Launer, Lenore J; Ferrucci, Luigi; Kedenko, Lyudmyla; Haun, Margot; Metzger, Marie; Woodward, Mark; Hoffman, Matthew J; Nauck, Matthias; Waldenberger, Melanie; Pruijm, Menno; Bochud, Murielle; Rheinberger, Myriam; Verweij, Niek; Wareham, Nicholas J; Endlich, Nicole; Soranzo, Nicole; Polasek, Ozren; van der Harst, Pim; Pramstaller, Peter Paul; Vollenweider, Peter; Wild, Philipp S; Gansevoort, Ron T; Rettig, Rainer; Biffar, Reiner; Carroll, Robert J; Katz, Ronit; Loos, Ruth J F; Hwang, Shih-Jen; Coassin, Stefan; Bergmann, Sven; Rosas, Sylvia E; Stracke, Sylvia; Harris, Tamara B; Corre, Tanguy; Zeller, Tanja; Illig, Thomas; Aspelund, Thor; Tanaka, Toshiko; Lendeckel, Uwe; Völker, Uwe; Gudnason, Vilmundur; Chouraki, Vincent; Koenig, Wolfgang; Kutalik, Zoltan; O'Connell, Jeffrey R; Parsa, Afshin; Heid, Iris M; Paterson, Andrew D; de Boer, Ian H; Devuyst, Olivier; Lazar, Jozef; Endlich, Karlhans; Susztak, Katalin; Tremblay, Johanne; Hamet, Pavel; Jacob, Howard J; Böger, Carsten A; Fox, Caroline S; Pattaro, Cristian; Köttgen, Anna

    2016-01-01

    Elevated concentrations of albumin in the urine, albuminuria, are a hallmark of diabetic kidney disease and are associated with an increased risk for end-stage renal disease and cardiovascular events. To gain insight into the pathophysiological mechanisms underlying albuminuria, we conducted meta-an

  2. Gene-based Association Approach Identify Genes Across Stress Traits in Fruit Flies

    DEFF Research Database (Denmark)

    Rohde, Palle Duun; Edwards, Stefan McKinnon; Sarup, Pernille Merete;

    approach grouping variants accordingly to gene position, thus lowering the number of statistical tests performed and increasing the probability of identifying genes with small to moderate effects. Using this approach we identify numerous genes associated with different types of stresses in Drosophila...

  3. A genome-wide association study identifies an osteoarthritis susceptibility locus on chromosome 7q22

    NARCIS (Netherlands)

    J.M. Kerkhof (Hanneke); R.J. Lories (Rik); I. Meulenbelt (Ingrid); I. Jonsdottir (Ingileif); A.M. Valdes (Ana Maria); P.P. Arp (Pascal); T. Ingvarsson (Torvaldur); M. Jhamai (Mila); H. Jonsson (Helgi); L. Stolk (Lisette); G. Thorleifsson (Gudmar); G. Zhai (Guangju); F. Zhang (Feng); Y. Zhu (Yicheng); R. van der Breggen (Ruud); M. Doherty (Michael); D. Felson; A. Gonzalez (Antonio); B.V. Halldorsson (Bjarni); D.J. Hart (Deborah); V.B. Hauksson (Valdimar); A. Hofman (Albert); J.P.A. Ioannidis (John); M. Kloppenburg (Margreet); N.E. Lane (Nancy); J. Loughlin (John); F.P. Luyten (Frank); M.C. Nevitt (Michael); N. Parimi (Neeta); H.A.P. Pols (Huib); F. Rivadeneira Ramirez (Fernando); E. Slagboom (Eline); U. Styrkarsdottir (Unnur); A. Tsezou (Aspasia); T. van de Putte (Tom); J. Zmuda (Joseph); T.D. Spector (Timothy); J-A. Zwart (John-Anker); A.G. Uitterlinden (André); J.B.J. van Meurs (Joyce); A.J. Carr (Andrew Jonathan)

    2010-01-01

    markdownabstract__Objective__ To identify novel genes involved in osteoarthritis (OA), by means of a genome-wide association study. Methods. We tested 500,510 single-nucleotide polymorphisms (SNPs) in 1,341 Dutch Caucasian OA cases and 3,496 Dutch Caucasian controls. SNPs associated with at least 2

  4. Whole-exome sequencing identifies rare and low-frequency coding variants associated with LDL cholesterol

    NARCIS (Netherlands)

    L.A. Lange (Leslie); Y. Hu (Youna); H. Zhang (He); C. Xue (Chenyi); E.M. Schmidt (Ellen); Z.-Z. Tang (Zheng-Zheng); C. Bizon (Chris); E.M. Lange (Ethan); G.D. Smith; E.H. Turner (Emily); Y. Jun (Yang); H.M. Kang (Hyun Min); G.M. Peloso (Gina); P. Auer (Paul); K.-P. Li (Kuo-Ping); J. Flannick (Jason); J. Zhang (Ji); C. Fuchsberger (Christian); K. Gaulton (Kyle); C.M. Lindgren (Cecilia); A. Locke (Adam); A.K. Manning (Alisa); X. Sim (Xueling); M.A. Rivas (Manuel); O.L. Holmen (Oddgeir); R.F. Gottesman (Rebecca); Y. Lu (Yingchang); D. Ruderfer (Douglas); E.A. Stahl (Eli); Q. Duan (Qing); Y. Li (Yun); P. Durda (Peter); S. Jiao (Shuo); A.J. Isaacs (Aaron); A. Hofman (Albert); J.C. Bis (Joshua); D.D. Correa; M.D. Griswold (Michael); M. Jakobsdottir (Margret); G.D. Smith; P.J. Schreiner (Pamela); M.F. Feitosa (Mary Furlan); Q. Zhang (Qunyuan); J.E. Huffman (Jennifer); S. Crosby; C.L. Wassel (Christina); R. Do (Ron); N. Franceschini (Nora); L.W. Martin (Lisa); J.G. Robinson (Jennifer); T.L. Assimes (Themistocles); D.R. Crosslin (David); E.A. Rosenthal (Elisabeth); M.Y. Tsai (Michael); M. Rieder (Mark); D.N. Farlow (Deborah); A.R. Folsom (Aaron); T. Lumley (Thomas); E.R. Fox (Ervin); C.S. Carlson (Christopher); U. Peters (Ulrike); R.D. Jackson (Rebecca); C.M. van Duijn (Cock); A.G. Uitterlinden (André); D. Levy (Daniel); J.I. Rotter (Jerome); H.A. Taylor (Herman); V. Gudnason (Vilmundur); D.S. Siscovick (David); M. Fornage (Myriam); I.B. Borecki (Ingrid); C. Hayward (Caroline); I. Rudan (Igor); Y.E. Chen (Y. Eugene); E.P. Bottinger (Erwin); R.J.F. Loos (Ruth); P. Sætrom (Pål); K. Hveem (Kristian); M. Boehnke (Michael); L. Groop (Leif); M.I. McCarthy (Mark); T. Meitinger (Thomas); C. Ballantyne (Christie); S.B. Gabriel (Stacey); C.J. O'Donnell (Christopher); W.S. Post (Wendy S.); K.E. North (Kari); A. Reiner (Alexander); E.A. Boerwinkle (Eric); B.M. Psaty (Bruce); D. Altshuler (David); S. Kathiresan (Sekar); D.Y. Lin (Dan); G.P. Jarvik (Gail); L.A. Cupples (Adrienne); C. Kooperberg (Charles); J.G. Wilson (James); D.A. Nickerson (Deborah); G.R. Abecasis (Gonçalo); S.S. Rich (Stephen); R.P. Tracy (Russell); C.J. Willer (Cristen)

    2014-01-01

    textabstractElevated low-density lipoprotein cholesterol (LDL-C) is a treatable, heritable risk factor for cardiovascular disease. Genome-wide association studies (GWASs) have identified 157 variants associated with lipid levels but are not well suited to assess the impact of rare and low-frequency

  5. Functional complementation studies identify candidate genes and common genetic variants associated with ovarian cancer survival

    DEFF Research Database (Denmark)

    Quaye, Lydia; Dafou, Dimitra; Ramus, Susan J;

    2009-01-01

    Common germline genetic variation and/or somatic alterations in tumours may be associated with survival in women diagnosed with ovarian cancer. The successful identification of genetic associations relies on a suitable strategy for identifying and testing candidate genes. We used microcell-mediat...

  6. Replication of recently identified systemic lupus erythematosus genetic associations : a case-control study

    NARCIS (Netherlands)

    Suarez-Gestal, Marian; Calaza, Manuel; Endreffy, Emoeke; Pullmann, Rudolf; Ordi-Ros, Josep; Sebastiani, Gian Domenico; Ruzickova, Sarka; Santos, Maria Jose; Papasteriades, Chryssa; Marchini, Maurizio; Skopouli, Fotini N.; Suarez, Ana; Blanco, Francisco J.; D'Alfonso, Sandra; Bijl, Marc; Carreira, Patricia; Witte, Torsten; Migliaresi, Sergio; Gomez-Reino, Juan J.; Gonzalez, Antonio

    2009-01-01

    Introduction We aimed to replicate association of newly identified systemic lupus erythematosus (SLE) loci. Methods We selected the most associated SNP in 10 SLE loci. These 10 SNPs were analysed in 1,579 patients with SLE and 1,726 controls of European origin by single-base extension. Comparison of

  7. Common genetic variants associated with cognitive performance identified using the proxy-phenotype method

    NARCIS (Netherlands)

    C.A. Rietveld (Niels); T. Esko (Tõnu); G. Davies (Gail); T.H. Pers (Tune); P. Turley (Patrick); B. Benyamin (Beben); C.F. Chabris (Christopher F.); V. Emilsson (Valur); A.D. Johnson (Andrew); J.J. Lee (James J.); C. de Leeuw (Christiaan); R.E. Marioni (Riccardo); S.E. Medland (Sarah Elizabeth); M. Miller (Mike); O. Rostapshova (Olga); S. van der Lee (Sven); A.A.E. Vinkhuyzen (Anna A.); N. Amin (Najaf); D. Conley (Dalton); J. Derringer; C.M. van Duijn (Cock); R.S.N. Fehrmann (Rudolf); L. Franke (Lude); E.L. Glaeser (Edward L.); N.K. Hansell (Narelle); C. Hayward (Caroline); W.G. Iacono (William); C.A. Ibrahim-Verbaas (Carla); V.W.V. Jaddoe (Vincent); J. Karjalainen (Juha); D. Laibson (David); P. Lichtenstein (Paul); D.C. Liewald (David C.); P.K. Magnusson (Patrik); N.G. Martin (Nicholas); M. McGue (Matt); G. Mcmahon (George); N.L. Pedersen (Nancy); S. Pinker (Steven); D.J. Porteous (David J.); D. Posthuma (Danielle); F. Rivadeneira Ramirez (Fernando); B.H. Smithk (Blair H.); J.M. Starr (John); H.W. Tiemeier (Henning); N.J. Timpsonm (Nicholas J.); M. Trzaskowskin (Maciej); A.G. Uitterlinden (André); F.C. Verhulst (Frank); M.E. Ward (Mary); M.J. Wright (Margaret); G.D. Smith; I.J. Deary (Ian J.); M. Johannesson (Magnus); R. Plomin (Robert); P.M. Visscher (Peter); D.J. Benjamin (Daniel J.); D. Cesarini (David); Ph.D. Koellinger (Philipp)

    2014-01-01

    textabstractWe identify common genetic variants associated with cognitive performance using a two-stage approach, which we call the proxyphenotype method. First, we conduct a genome-wide association study of educational attainment in a large sample (n = 106,736), which produces a set of 69 education

  8. Genome-wide association study identifies four loci associated with eruption of permanent teeth.

    Directory of Open Access Journals (Sweden)

    Frank Geller

    2011-09-01

    Full Text Available The sequence and timing of permanent tooth eruption is thought to be highly heritable and can have important implications for the risk of malocclusion, crowding, and periodontal disease. We conducted a genome-wide association study of number of permanent teeth erupted between age 6 and 14 years, analyzed as age-adjusted standard deviation score averaged over multiple time points, based on childhood records for 5,104 women from the Danish National Birth Cohort. Four loci showed association at P<5×10(-8 and were replicated in four independent study groups from the United States and Denmark with a total of 3,762 individuals; all combined P-values were below 10(-11. Two loci agreed with previous findings in primary tooth eruption and were also known to influence height and breast cancer, respectively. The two other loci pointed to genomic regions without any previous significant genome-wide association study results. The intronic SNP rs7924176 in ADK could be linked to gene expression in monocytes. The combined effect of the four genetic variants was most pronounced between age 10 and 12 years, where children with 6 to 8 delayed tooth eruption alleles had on average 3.5 (95% confidence interval: 2.9-4.1 fewer permanent teeth than children with 0 or 1 of these alleles.

  9. Identifying the association between contrast enhancement pattern, surgical resection, and prognosis in anaplastic glioma patients

    Energy Technology Data Exchange (ETDEWEB)

    Wang, Yinyan; Jiang, Tao [Capital Medical University, Department of Neurosurgery, Beijing Tiantan Hospital, Beijing (China); Capital Medical University, Beijing Neurosurgical Institute, Beijing (China); Wang, Kai; Li, Shaowu; Ma, Jun [Capital Medical University, Department of Neuroradiology, Beijing Tiantan Hospital, Beijing (China); Wang, Jiangfei [Capital Medical University, Department of Neurosurgery, Beijing Tiantan Hospital, Beijing (China); Dai, Jianping [Capital Medical University, Beijing Neurosurgical Institute, Beijing (China); Capital Medical University, Department of Neuroradiology, Beijing Tiantan Hospital, Beijing (China)

    2016-04-15

    Contrast enhancement observable on magnetic resonance (MR) images reflects the destructive features of malignant gliomas. This study aimed to investigate the relationship between radiologic patterns of tumor enhancement, extent of resection, and prognosis in patients with anaplastic gliomas (AGs). Clinical data from 268 patients with histologically confirmed AGs were retrospectively analyzed. Contrast enhancement patterns were classified based on preoperative T1-contrast MR images. Univariate and multivariate analyses were performed to evaluate the prognostic value of MR enhancement patterns on progression-free survival (PFS) and overall survival (OS). The pattern of tumor contrast enhancement was associated with the extent of surgical resection in AGs. A gross total resection was more likely to be achieved for AGs with focal enhancement than those with diffuse (p = 0.001) or ring-like (p = 0.024) enhancement. Additionally, patients with focal-enhanced AGs had a significantly longer PFS and OS than those with diffuse (log-rank, p = 0.025 and p = 0.031, respectively) or ring-like (log-rank, p = 0.008 and p = 0.011, respectively) enhanced AGs. Furthermore, multivariate analysis identified the pattern of tumor enhancement as a significant predictor of PFS (p = 0.016, hazard ratio [HR] = 1.485) and OS (p = 0.030, HR = 1.446). Our results suggested that the contrast enhancement pattern on preoperative MR images was associated with the extent of resection and predictive of survival outcomes in AG patients. (orig.)

  10. A genome-wide association study identifies four novel susceptibility loci underlying inguinal hernia

    Science.gov (United States)

    Jorgenson, Eric; Makki, Nadja; Shen, Ling; Chen, David C.; Tian, Chao; Eckalbar, Walter L.; Hinds, David; Ahituv, Nadav; Avins, Andrew

    2015-01-01

    Inguinal hernia repair is one of the most commonly performed operations in the world, yet little is known about the genetic mechanisms that predispose individuals to develop inguinal hernias. We perform a genome-wide association analysis of surgically confirmed inguinal hernias in 72,805 subjects (5,295 cases and 67,510 controls) and confirm top associations in an independent cohort of 92,444 subjects with self-reported hernia repair surgeries (9,701 cases and 82,743 controls). We identify four novel inguinal hernia susceptibility loci in the regions of EFEMP1, WT1, EBF2 and ADAMTS6. Moreover, we observe expression of all four genes in mouse connective tissue and network analyses show an important role for two of these genes (EFEMP1 and WT1) in connective tissue maintenance/homoeostasis. Our findings provide insight into the aetiology of hernia development and highlight genetic pathways for studies of hernia development and its treatment. PMID:26686553

  11. Analysis of an Image Secret Sharing Scheme to Identify Cheaters

    Directory of Open Access Journals (Sweden)

    Jung-San LEe

    2010-09-01

    Full Text Available Secret image sharing mechanisms have been widely applied to the military, e-commerce, and communications fields. Zhao et al. introduced the concept of cheater detection into image sharing schemes recently. This functionality enables the image owner and authorized members to identify the cheater in reconstructing the secret image. Here, we provide an analysis of Zhao et al.¡¦s method: an authorized participant is able to restore the secret image by him/herself. This contradicts the requirement of secret image sharing schemes. The authorized participant utilizes an exhaustive search to achieve the attempt, though, simulation results show that it can be done within a reasonable time period.

  12. Identifying avian sources of faecal contamination using sterol analysis.

    Science.gov (United States)

    Devane, Megan L; Wood, David; Chappell, Andrew; Robson, Beth; Webster-Brown, Jenny; Gilpin, Brent J

    2015-10-01

    Discrimination of the source of faecal pollution in water bodies is an important step in the assessment and mitigation of public health risk. One tool for faecal source tracking is the analysis of faecal sterols which are present in faeces of animals in a range of distinctive ratios. Published ratios are able to discriminate between human and herbivore mammal faecal inputs but are of less value for identifying pollution from wildfowl, which can be a common cause of elevated bacterial indicators in rivers and streams. In this study, the sterol profiles of 50 avian-derived faecal specimens (seagulls, ducks and chickens) were examined alongside those of 57 ruminant faeces and previously published sterol profiles of human wastewater, chicken effluent and animal meatwork effluent. Two novel sterol ratios were identified as specific to avian faecal scats, which, when incorporated into a decision tree with human and herbivore mammal indicative ratios, were able to identify sterols from avian-polluted waterways. For samples where the sterol profile was not consistent with herbivore mammal or human pollution, avian pollution is indicated when the ratio of 24-ethylcholestanol/(24-ethylcholestanol + 24-ethylcoprostanol + 24-ethylepicoprostanol) is ≥0.4 (avian ratio 1) and the ratio of cholestanol/(cholestanol + coprostanol + epicoprostanol) is ≥0.5 (avian ratio 2). When avian pollution is indicated, further confirmation by targeted PCR specific markers can be employed if greater confidence in the pollution source is required. A 66% concordance between sterol ratios and current avian PCR markers was achieved when 56 water samples from polluted waterways were analysed.

  13. A meta-analysis of 87,040 individuals identifies 23 new susceptibility loci for prostate cancer

    DEFF Research Database (Denmark)

    Al Olama, Ali Amin; Kote-Jarai, Zsofia; Berndt, Sonja I

    2014-01-01

    Genome-wide association studies (GWAS) have identified 76 variants associated with prostate cancer risk predominantly in populations of European ancestry. To identify additional susceptibility loci for this common cancer, we conducted a meta-analysis of > 10 million SNPs in 43,303 prostate cancer...

  14. Cluster Analysis of Clinical Data Identifies Fibromyalgia Subgroups

    Science.gov (United States)

    Docampo, Elisa; Collado, Antonio; Escaramís, Geòrgia; Carbonell, Jordi; Rivera, Javier; Vidal, Javier; Alegre, José

    2013-01-01

    Introduction Fibromyalgia (FM) is mainly characterized by widespread pain and multiple accompanying symptoms, which hinder FM assessment and management. In order to reduce FM heterogeneity we classified clinical data into simplified dimensions that were used to define FM subgroups. Material and Methods 48 variables were evaluated in 1,446 Spanish FM cases fulfilling 1990 ACR FM criteria. A partitioning analysis was performed to find groups of variables similar to each other. Similarities between variables were identified and the variables were grouped into dimensions. This was performed in a subset of 559 patients, and cross-validated in the remaining 887 patients. For each sample and dimension, a composite index was obtained based on the weights of the variables included in the dimension. Finally, a clustering procedure was applied to the indexes, resulting in FM subgroups. Results Variables clustered into three independent dimensions: “symptomatology”, “comorbidities” and “clinical scales”. Only the two first dimensions were considered for the construction of FM subgroups. Resulting scores classified FM samples into three subgroups: low symptomatology and comorbidities (Cluster 1), high symptomatology and comorbidities (Cluster 2), and high symptomatology but low comorbidities (Cluster 3), showing differences in measures of disease severity. Conclusions We have identified three subgroups of FM samples in a large cohort of FM by clustering clinical data. Our analysis stresses the importance of family and personal history of FM comorbidities. Also, the resulting patient clusters could indicate different forms of the disease, relevant to future research, and might have an impact on clinical assessment. PMID:24098674

  15. Archetypal TRMM Radar Profiles Identified Through Cluster Analysis

    Science.gov (United States)

    Boccippio, Dennis J.

    2003-01-01

    It is widely held that identifiable 'convective regimes' exist in nature, although precise definitions of these are elusive. Examples include land / Ocean distinctions, break / monsoon beahvior, seasonal differences in the Amazon (SON vs DJF), etc. These regimes are often described by differences in the realized local convective spectra, and measured by various metrics of convective intensity, depth, areal coverage and rainfall amount. Objective regime identification may be valuable in several ways: regimes may serve as natural 'branch points' in satellite retrieval algorithms or data assimilation efforts; one example might be objective identification of regions that 'should' share a similar 2-R relationship. Similarly, objectively defined regimes may provide guidance on optimal siting of ground validation efforts. Objectively defined regimes could also serve as natural (rather than arbitrary geographic) domain 'controls' in studies of convective response to environmental forcing. Quantification of convective vertical structure has traditionally involved parametric study of prescribed quantities thought to be important to convective dynamics: maximum radar reflectivity, cloud top height, 30-35 dBZ echo top height, rain rate, etc. Individually, these parameters are somewhat deficient as their interpretation is often nonunique (the same metric value may signify different physics in different storm realizations). Individual metrics also fail to capture the coherence and interrelationships between vertical levels available in full 3-D radar datasets. An alternative approach is discovery of natural partitions of vertical structure in a globally representative dataset, or 'archetypal' reflectivity profiles. In this study, this is accomplished through cluster analysis of a very large sample (0[107) of TRMM-PR reflectivity columns. Once achieved, the rainconditional and unconditional 'mix' of archetypal profile types in a given location and/or season provides a description

  16. Network Analysis Identifies Disease-Specific Pathways for Parkinson's Disease.

    Science.gov (United States)

    Monti, Chiara; Colugnat, Ilaria; Lopiano, Leonardo; Chiò, Adriano; Alberio, Tiziana

    2016-12-21

    Neurodegenerative diseases are characterized by the progressive loss of specific neurons in selected regions of the central nervous system. The main clinical manifestation (movement disorders, cognitive impairment, and/or psychiatric disturbances) depends on the neuron population being primarily affected. Parkinson's disease is a common movement disorder, whose etiology remains mostly unknown. Progressive loss of dopaminergic neurons in the substantia nigra causes an impairment of the motor control. Some of the pathogenetic mechanisms causing the progressive deterioration of these neurons are not specific for Parkinson's disease but are shared by other neurodegenerative diseases, like Alzheimer's disease and amyotrophic lateral sclerosis. Here, we performed a meta-analysis of the literature of all the quantitative proteomic investigations of neuronal alterations in different models of Parkinson's disease, Alzheimer's disease, and amyotrophic lateral sclerosis to distinguish between general and Parkinson's disease-specific pattern of neurodegeneration. Then, we merged proteomics data with genetics information from the DisGeNET database. The comparison of gene and protein information allowed us to identify 25 proteins involved uniquely in Parkinson's disease and we verified the alteration of one of them, i.e., transaldolase 1 (TALDO1), in the substantia nigra of 5 patients. By using open-source bioinformatics tools, we identified the biological processes specifically affected in Parkinson's disease, i.e., proteolysis, mitochondrion organization, and mitophagy. Eventually, we highlighted four cellular component complexes mostly involved in the pathogenesis: the proteasome complex, the protein phosphatase 2A, the chaperonins CCT complex, and the complex III of the respiratory chain.

  17. Social network analysis in identifying influential webloggers: A preliminary study

    Science.gov (United States)

    Hasmuni, Noraini; Sulaiman, Nor Intan Saniah; Zaibidi, Nerda Zura

    2014-12-01

    In recent years, second generation of internet-based services such as weblog has become an effective communication tool to publish information on the Web. Weblogs have unique characteristics that deserve users' attention. Some of webloggers have seen weblogs as appropriate medium to initiate and expand business. These webloggers or also known as direct profit-oriented webloggers (DPOWs) communicate and share knowledge with each other through social interaction. However, survivability is the main issue among DPOW. Frequent communication with influential webloggers is one of the way to keep survive as DPOW. This paper aims to understand the network structure and identify influential webloggers within the network. Proper understanding of the network structure can assist us in knowing how the information is exchanged among members and enhance survivability among DPOW. 30 DPOW were involved in this study. Degree centrality and betweenness centrality measurement in Social Network Analysis (SNA) were used to examine the strength relation and identify influential webloggers within the network. Thus, webloggers with the highest value of these measurements are considered as the most influential webloggers in the network.

  18. The use of functional chemical-protein associations to identify multi-pathway renoprotectants.

    Directory of Open Access Journals (Sweden)

    Jia Xu

    Full Text Available Typically, most nephropathies can be categorized as complex human diseases in which the cumulative effect of multiple minor genes, combined with environmental and lifestyle factors, determines the disease phenotype. Thus, multi-target drugs would be more likely to facilitate comprehensive renoprotection than single-target agents. In this study, functional chemical-protein association analysis was performed to retrieve multi-target drugs of high pathway wideness from the STITCH 3.1 database. Pathway wideness of a drug evaluated the efficiency of regulation of Kyoto Encyclopedia of Genes and Genomes (KEGG pathways in quantity. We identified nine experimentally validated renoprotectants that exerted remarkable impact on KEGG pathways by targeting a limited number of proteins. We selected curcumin as an illustrative compound to display the advantage of multi-pathway drugs on renoprotection. We compared curcumin with hemin, an agonist of heme oxygenase-1 (HO-1, which significantly affects only one KEGG pathway, porphyrin and chlorophyll metabolism (adjusted p = 1.5×10-5. At the same concentration (10 µM, both curcumin and hemin equivalently mitigated oxidative stress in H2O2-treated glomerular mesangial cells. The benefit of using hemin was derived from its agonistic effect on HO-1, providing relief from oxidative stress. Selective inhibition of HO-1 completely blocked the action of hemin but not that of curcumin, suggesting simultaneous multi-pathway intervention by curcumin. Curcumin also increased cellular autophagy levels, enhancing its protective effect; however, hemin had no effects. Based on the fact that the dysregulation of multiple pathways is implicated in the etiology of complex diseases, we proposed a feasible method for identifying multi-pathway drugs from compounds with validated targets. Our efforts will help identify multi-pathway agents capable of providing comprehensive protection against renal injuries.

  19. Comparative analysis of Salmonella genomes identifies a metabolic network for escalating growth in the inflamed gut.

    Science.gov (United States)

    Nuccio, Sean-Paul; Bäumler, Andreas J

    2014-03-18

    The Salmonella genus comprises a group of pathogens associated with illnesses ranging from gastroenteritis to typhoid fever. We performed an in silico analysis of comparatively reannotated Salmonella genomes to identify genomic signatures indicative of disease potential. By removing numerous annotation inconsistencies and inaccuracies, the process of reannotation identified a network of 469 genes involved in central anaerobic metabolism, which was intact in genomes of gastrointestinal pathogens but degrading in genomes of extraintestinal pathogens. This large network contained pathways that enable gastrointestinal pathogens to utilize inflammation-derived nutrients as well as many of the biochemical reactions used for the enrichment and biochemical discrimination of Salmonella serovars. Thus, comparative genome analysis identifies a metabolic network that provides clues about the strategies for nutrient acquisition and utilization that are characteristic of gastrointestinal pathogens. IMPORTANCE While some Salmonella serovars cause infections that remain localized to the gut, others disseminate throughout the body. Here, we compared Salmonella genomes to identify characteristics that distinguish gastrointestinal from extraintestinal pathogens. We identified a large metabolic network that is functional in gastrointestinal pathogens but decaying in extraintestinal pathogens. While taxonomists have used traits from this network empirically for many decades for the enrichment and biochemical discrimination of Salmonella serovars, our findings suggest that it is part of a "business plan" for growth in the inflamed gastrointestinal tract. By identifying a large metabolic network characteristic of Salmonella serovars associated with gastroenteritis, our in silico analysis provides a blueprint for potential strategies to utilize inflammation-derived nutrients and edge out competing gut microbes.

  20. A genome-wide association study identifies two novel susceptibility loci and trans population polygenicity associated with bipolar disorder.

    Science.gov (United States)

    Ikeda, M; Takahashi, A; Kamatani, Y; Okahisa, Y; Kunugi, H; Mori, N; Sasaki, T; Ohmori, T; Okamoto, Y; Kawasaki, H; Shimodera, S; Kato, T; Yoneda, H; Yoshimura, R; Iyo, M; Matsuda, K; Akiyama, M; Ashikawa, K; Kashiwase, K; Tokunaga, K; Kondo, K; Saito, T; Shimasaki, A; Kawase, K; Kitajima, T; Matsuo, K; Itokawa, M; Someya, T; Inada, T; Hashimoto, R; Inoue, T; Akiyama, K; Tanii, H; Arai, H; Kanba, S; Ozaki, N; Kusumi, I; Yoshikawa, T; Kubo, M; Iwata, N

    2017-01-24

    Genome-wide association studies (GWASs) have identified several susceptibility loci for bipolar disorder (BD) and shown that the genetic architecture of BD can be explained by polygenicity, with numerous variants contributing to BD. In the present GWAS (Phase I/II), which included 2964 BD and 61 887 control subjects from the Japanese population, we detected a novel susceptibility locus at 11q12.2 (rs28456, P=6.4 × 10(-9)), a region known to contain regulatory genes for plasma lipid levels (FADS1/2/3). A subsequent meta-analysis of Phase I/II and the Psychiatric GWAS Consortium for BD (PGC-BD) identified another novel BD gene, NFIX (Pbest=5.8 × 10(-10)), and supported three regions previously implicated in BD susceptibility: MAD1L1 (Pbest=1.9 × 10(-9)), TRANK1 (Pbest=2.1 × 10(-9)) and ODZ4 (Pbest=3.3 × 10(-9)). Polygenicity of BD within Japanese and trans-European-Japanese populations was assessed with risk profile score analysis. We detected higher scores in BD cases both within (Phase I/II) and across populations (Phase I/II and PGC-BD). These were defined by (1) Phase II as discovery and Phase I as target, or vice versa (for 'within Japanese comparisons', Pbest~10(-29), R(2)~2%), and (2) European PGC-BD as discovery and Japanese BD (Phase I/II) as target (for 'trans-European-Japanese comparison,' Pbest~10(-13), R(2)~0.27%). This 'trans population' effect was supported by estimation of the genetic correlation using the effect size based on each population (liability estimates~0.7). These results indicate that (1) two novel and three previously implicated loci are significantly associated with BD and that (2) BD 'risk' effect are shared between Japanese and European populations.Molecular Psychiatry advance online publication, 24 January 2017; doi:10.1038/mp.2016.259.

  1. Performance Analysis: Work Control Events Identified January - August 2010

    Energy Technology Data Exchange (ETDEWEB)

    De Grange, C E; Freeman, J W; Kerr, C E; Holman, G; Marsh, K; Beach, R

    2011-01-14

    This performance analysis evaluated 24 events that occurred at LLNL from January through August 2010. The analysis identified areas of potential work control process and/or implementation weaknesses and several common underlying causes. Human performance improvement and safety culture factors were part of the causal analysis of each event and were analyzed. The collective significance of all events in 2010, as measured by the occurrence reporting significance category and by the proportion of events that have been reported to the DOE ORPS under the ''management concerns'' reporting criteria, does not appear to have increased in 2010. The frequency of reporting in each of the significance categories has not changed in 2010 compared to the previous four years. There is no change indicating a trend in the significance category and there has been no increase in the proportion of occurrences reported in the higher significance category. Also, the frequency of events, 42 events reported through August 2010, is not greater than in previous years and is below the average of 63 occurrences per year at LLNL since 2006. Over the previous four years, an average of 43% of the LLNL's reported occurrences have been reported as either ''management concerns'' or ''near misses.'' In 2010, 29% of the occurrences have been reported as ''management concerns'' or ''near misses.'' This rate indicates that LLNL is now reporting fewer ''management concern'' and ''near miss'' occurrences compared to the previous four years. From 2008 to the present, LLNL senior management has undertaken a series of initiatives to strengthen the work planning and control system with the primary objective to improve worker safety. In 2008, the LLNL Deputy Director established the Work Control Integrated Project Team to develop the core requirements and graded

  2. Genome-wide Association Study Identifies New Loci for Resistance to Leptosphaeria maculans in Canola

    Directory of Open Access Journals (Sweden)

    Harsh Raman

    2016-10-01

    Full Text Available Blackleg, caused by Leptosphaeria maculans, is a significant disease which affects the sustainable production of canola. This study reports a genome-wide association study based on 18,804 polymorphic SNPs to identify loci associated with qualitative and quantitative resistance to L. maculans. Genomic regions delimited with 503 significant SNP markers, that are associated with resistance evaluated using 12 single spore isolates and pathotypes from four canola stubble were identified. Several significant associations were detected at known disease resistance loci including in the vicinity of recently cloned Rlm2/LepR3 genes, and at new loci on chromosomes A01/C01, A02/C02, A03/C03, A05/C05, A06, A08, and A09. In addition, we validated statistically significant associations on A01, A07 and A10 in four genetic mapping populations, demonstrating that GWAS marker loci are indeed associated with resistance to L. maculans. One of the novel loci identified for the first time, Rlm12, conveys adult plant resistance and mapped within 13.2 kb from Arabidopsis R gene of TIR-NBS class. We showed that resistance loci are located in the vicinity of R genes of A. thaliana and B. napus on the sequenced genome of B. napus cv. Darmor-bzh. Significantly associated SNP markers provide a valuable tool to enrich germplasm for favorable alleles in order to improve the level of resistance to L. maculans in canola.

  3. Multi-ancestry genome-wide association study of 21,000 cases and 95,000 controls identifies new risk loci for atopic dermatitis

    DEFF Research Database (Denmark)

    Paternoster, Lavinia; Standl, Marie; Waage, Johannes;

    2015-01-01

    Genetic association studies have identified 21 loci associated with atopic dermatitis risk predominantly in populations of European ancestry. To identify further susceptibility loci for this common, complex skin disease, we performed a meta-analysis of >15 million genetic variants in 21,399 cases...

  4. Multi-ancestry genome-wide association study of 21,000 cases and 95,000 controls identifies new risk loci for atopic dermatitis

    NARCIS (Netherlands)

    Paternoster, Lavinia; Standl, Marie; Waage, Johannes; Baurecht, Hansjoerg; Hotze, Melanie; Strachan, David P.; Curtin, John A.; Bonnelykke, Klaus; Tian, Chao; Takahashi, Atsushi; Esparza-Gordillo, Jorge; Alves, Alexessander Couto; Thyssen, Jacob P.; den Dekker, Herman T.; Ferreira, Manuel A.; Altmaier, Elisabeth; Sleiman, Patrick M. A.; Xiao, Feng Li; Gonzalez, Juan R.; Marenholz, Ingo; Kalb, Birgit; Pino-Yanes, Maria; Xu, Chengjian; Carstensen, Lisbeth; Groen-Blokhuis, Maria M.; Venturini, Cristina; Pennell, Craig E.; Barton, Sheila J.; Levin, Albert M.; Curjuric, Ivan; Bustamante, Mariona; Kreiner-Moller, Eskil; Lockett, Gabrielle A.; Bacelis, Jonas; Bunyavanich, Supinda; Myers, Rachel A.; Matanovic, Anja; Kumar, Ashish; Tung, Joyce Y.; Hirota, Tomomitsu; Kubo, Michiaki; McArdle, Wendy L.; Henderson, A. John; Kemp, John P.; Zheng, Jie; Smith, George Davey; Rueschendorf, Franz; Bauerfeind, Anja; Lee-Kirsch, Min Ae; Arnold, Andreas; Homuth, Georg; Schmidt, Carsten O.; Mangold, Elisabeth; Cichon, Sven; Keil, Thomas; Rodriguez, Elke; Peters, Annette; Franke, Andre; Lieb, Wolfgang; Novak, Natalija; Foelster-Holst, Regina; Horikoshi, Momoko; Pekkanen, Juha; Sebert, Sylvain; Husemoen, Lise L.; Grarup, Niels; De Jongste, Johan C.; Rivadeneira, Fernando; Hofman, Albert; Jaddoe, Vincent W. V.; Pasmans, Suzanne G. M. A.; Elbert, Niels J.; Uitterlinden, Andre G.; Marks, Guy B.; Thompson, Philip J.; Matheson, Melanie C.; Robertson, Colin F.; Ried, Janina S.; Li, Jin; Zuo, Xian Bo; Zheng, Xiao Dong; Yin, Xian Yong; Sun, Liang Dan; McAleer, Maeve A.; O'Regan, Grainne M.; Fahy, Caoimhe M. R.; Campbell, Linda E.; Macek, Milan; Kurek, Michael; Hu, Donglei; Eng, Celeste; Postma, Dirkje S.; Feenstra, Bjarke; Geller, Frank; Hottenga, Jouke Jan; Middeldorp, Christel M.; Hysi, Pirro; Bataille, Veronique; Spector, Tim; Tiesler, Carla M. T.; Thiering, Elisabeth; Pahukasahasram, Badri; Yang, James J.; Imboden, Medea; Huntsman, Scott; Vilor-Tejedor, Natalia; Relton, Caroline L.; Myhre, Ronny; Nystad, Wenche; Custovic, Adnan; Weiss, Scott T.; Meyers, Deborah A.; Soederhaell, Cilla; Melen, Erik; Ober, Carole; Raby, Benjamin A.; Simpson, Angela; Jacobsson, Bo; Holloway, John W.; Bisgaard, Hans; Sunyer, Jordi; Probst-Hensch, Nicole M.; Williams, L. Keoki; Godfrey, Keith M.; Wang, Carol A.; Boomsma, Dorret I.; Melbye, Mads; Koppelman, Gerard H.; Jarvis, Deborah; McLean, W. H. Irwin; Irvine, Alan D.; Zhang, Xue Jun; Hakonarson, Hakon; Gieger-, Christian; Burchard, Esteban G.; Martin, Nicholas G.; Duijts, Liesbeth; Linneberg, Allan; Jarvelin, Marjo-Riitta; Noethen, Markus M.; Lau, Susanne; Huebner, Norbert; Lee, Young-Ae; Tamari, Mayumi; Hinds, David A.; Glass, Daniel; Brown, Sara J.; Heinrich, Joachim; Evans, David M.; Weidinger, Stephan

    2015-01-01

    Genetic association studies have identified 21 loci associated with atopic dermatitis risk predominantly in populations of European ancestry. To identify further susceptibility loci for this common, complex skin disease, we performed a meta-analysis of >15 million genetic variants in 21,399 cases an

  5. SOS2 and ACP1 Loci Identified through Large-Scale Exome Chip Analysis Regulate Kidney Development and Function

    DEFF Research Database (Denmark)

    Li, Man; Li, Yong; Weeks, Olivia

    2016-01-01

    Genome-wide association studies have identified >50 common variants associated with kidney function, but these variants do not fully explain the variation in eGFR. We performed a two-stage meta-analysis of associations between genotypes from the Illumina exome array and eGFR on the basis of serum...

  6. Genome-wide association study in east Asians identifies novel susceptibility loci for breast cancer.

    Directory of Open Access Journals (Sweden)

    Jirong Long

    Full Text Available Genetic factors play an important role in the etiology of both sporadic and familial breast cancer. We aimed to discover novel genetic susceptibility loci for breast cancer. We conducted a four-stage genome-wide association study (GWAS in 19,091 cases and 20,606 controls of East-Asian descent including Chinese, Korean, and Japanese women. After analyzing 690,947 SNPs in 2,918 cases and 2,324 controls, we evaluated 5,365 SNPs for replication in 3,972 cases and 3,852 controls. Ninety-four SNPs were further evaluated in 5,203 cases and 5,138 controls, and finally the top 22 SNPs were investigated in up to 17,423 additional subjects (7,489 cases and 9,934 controls. SNP rs9485372, near the TGF-β activated kinase (TAB2 gene in chromosome 6q25.1, showed a consistent association with breast cancer risk across all four stages, with a P-value of 3.8×10(-12 in the combined analysis of all samples. Adjusted odds ratios (95% confidence intervals were 0.89 (0.85-0.94 and 0.80 (0.75-0.86 for the A/G and A/A genotypes, respectively, compared with the genotype G/G. SNP rs9383951 (P = 1.9×10(-6 from the combined analysis of all samples, located in intron 5 of the ESR1 gene, and SNP rs7107217 (P = 4.6×10(-7, located at 11q24.3, also showed a consistent association in each of the four stages. This study provides strong evidence for a novel breast cancer susceptibility locus represented by rs9485372, near the TAB2 gene (6q25.1, and identifies two possible susceptibility loci located in the ESR1 gene and 11q24.3, respectively.

  7. Identifying redundancy and exposing provenance in crowdsourced data analysis.

    Science.gov (United States)

    Willett, Wesley; Ginosar, Shiry; Steinitz, Avital; Hartmann, Björn; Agrawala, Maneesh

    2013-12-01

    We present a system that lets analysts use paid crowd workers to explore data sets and helps analysts interactively examine and build upon workers' insights. We take advantage of the fact that, for many types of data, independent crowd workers can readily perform basic analysis tasks like examining views and generating explanations for trends and patterns. However, workers operating in parallel can often generate redundant explanations. Moreover, because workers have different competencies and domain knowledge, some responses are likely to be more plausible than others. To efficiently utilize the crowd's work, analysts must be able to quickly identify and consolidate redundant responses and determine which explanations are the most plausible. In this paper, we demonstrate several crowd-assisted techniques to help analysts make better use of crowdsourced explanations: (1) We explore crowd-assisted strategies that utilize multiple workers to detect redundant explanations. We introduce color clustering with representative selection--a strategy in which multiple workers cluster explanations and we automatically select the most-representative result--and show that it generates clusterings that are as good as those produced by experts. (2) We capture explanation provenance by introducing highlighting tasks and capturing workers' browsing behavior via an embedded web browser, and refine that provenance information via source-review tasks. We expose this information in an explanation-management interface that allows analysts to interactively filter and sort responses, select the most plausible explanations, and decide which to explore further.

  8. A Sensitivity Analysis Approach to Identify Key Environmental Performance Factors

    Directory of Open Access Journals (Sweden)

    Xi Yu

    2014-01-01

    Full Text Available Life cycle assessment (LCA is widely used in design phase to reduce the product’s environmental impacts through the whole product life cycle (PLC during the last two decades. The traditional LCA is restricted to assessing the environmental impacts of a product and the results cannot reflect the effects of changes within the life cycle. In order to improve the quality of ecodesign, it is a growing need to develop an approach which can reflect the changes between the design parameters and product’s environmental impacts. A sensitivity analysis approach based on LCA and ecodesign is proposed in this paper. The key environmental performance factors which have significant influence on the products’ environmental impacts can be identified by analyzing the relationship between environmental impacts and the design parameters. Users without much environmental knowledge can use this approach to determine which design parameter should be first considered when (redesigning a product. A printed circuit board (PCB case study is conducted; eight design parameters are chosen to be analyzed by our approach. The result shows that the carbon dioxide emission during the PCB manufacture is highly sensitive to the area of PCB panel.

  9. Molecular markers for tolerance of European ash (Fraxinus excelsior) to dieback disease identified using Associative Transcriptomics

    DEFF Research Database (Denmark)

    Harper, Andrea L.; McKinney, Lea Vig; Nielsen, Lene Rostgaard;

    2016-01-01

    is being devastated by the fungal pathogen Hymenoscyphus fraxineus, which causes ash dieback disease. Taking this system as an example and utilizing Associative Transcriptomics for the first time in a plant pathology study, we discovered gene sequence and gene expression variants across a genetic diversity...... panel scored for disease symptoms and identified markers strongly associated with canopy damage in infected trees. Using these markers we predicted phenotypes in a test panel of unrelated trees, successfully identifying individuals with a low level of susceptibility to the disease. Co...

  10. Performance Analysis: Work Control Events Identified January - August 2010

    Energy Technology Data Exchange (ETDEWEB)

    De Grange, C E; Freeman, J W; Kerr, C E; Holman, G; Marsh, K; Beach, R

    2011-01-14

    This performance analysis evaluated 24 events that occurred at LLNL from January through August 2010. The analysis identified areas of potential work control process and/or implementation weaknesses and several common underlying causes. Human performance improvement and safety culture factors were part of the causal analysis of each event and were analyzed. The collective significance of all events in 2010, as measured by the occurrence reporting significance category and by the proportion of events that have been reported to the DOE ORPS under the ''management concerns'' reporting criteria, does not appear to have increased in 2010. The frequency of reporting in each of the significance categories has not changed in 2010 compared to the previous four years. There is no change indicating a trend in the significance category and there has been no increase in the proportion of occurrences reported in the higher significance category. Also, the frequency of events, 42 events reported through August 2010, is not greater than in previous years and is below the average of 63 occurrences per year at LLNL since 2006. Over the previous four years, an average of 43% of the LLNL's reported occurrences have been reported as either ''management concerns'' or ''near misses.'' In 2010, 29% of the occurrences have been reported as ''management concerns'' or ''near misses.'' This rate indicates that LLNL is now reporting fewer ''management concern'' and ''near miss'' occurrences compared to the previous four years. From 2008 to the present, LLNL senior management has undertaken a series of initiatives to strengthen the work planning and control system with the primary objective to improve worker safety. In 2008, the LLNL Deputy Director established the Work Control Integrated Project Team to develop the core requirements and graded

  11. Multiplex giant magnetoresistive biosensor microarrays identify interferon-associated autoantibodies in systemic lupus erythematosus

    Science.gov (United States)

    Lee, Jung-Rok; Haddon, D. James; Wand, Hannah E.; Price, Jordan V.; Diep, Vivian K.; Hall, Drew A.; Petri, Michelle; Baechler, Emily C.; Balboni, Imelda M.; Utz, Paul J.; Wang, Shan X.

    2016-06-01

    High titer, class-switched autoantibodies are a hallmark of systemic lupus erythematosus (SLE). Dysregulation of the interferon (IFN) pathway is observed in individuals with active SLE, although the association of specific autoantibodies with chemokine score, a combined measurement of three IFN-regulated chemokines, is not known. To identify autoantibodies associated with chemokine score, we developed giant magnetoresistive (GMR) biosensor microarrays, which allow the parallel measurement of multiple serum antibodies to autoantigens and peptides. We used the microarrays to analyze serum samples from SLE patients and found individuals with high chemokine scores had significantly greater reactivity to 13 autoantigens than individuals with low chemokine scores. Our findings demonstrate that multiple autoantibodies, including antibodies to U1-70K and modified histone H2B tails, are associated with IFN dysregulation in SLE. Further, they show the microarrays are capable of identifying autoantibodies associated with relevant clinical manifestations of SLE, with potential for use as biomarkers in clinical practice.

  12. Genome-Wide Association Study in BRCA1 Mutation Carriers Identifies Novel Loci Associated with Breast and Ovarian Cancer Risk

    NARCIS (Netherlands)

    F.J. Couch (Fergus); X. Wang (Xing); L. McGuffog (Lesley); A. Lee; C. Olswold (Curtis); K.B. Kuchenbaecker (Karoline); P. Soucy (Penny); Z. Fredericksen (Zachary); D. Barrowdale (Daniel); J. Dennis (Joe); M.M. Gaudet (Mia); E. Dicks (Ed); M. Kosel (Matthew); S. Healey (Sue); O. Sinilnikova (Olga); F. Bacot (Francois); D. Vincent (Daniel); F.B.L. Hogervorst (Frans); S. Peock (Susan); D. Stoppa-Lyonnet (Dominique); A. Jakubowska (Anna); P. Radice (Paolo); R.K. Schmutzler (Rita); S.M. Domchek (Susan); M. Piedmonte (Marion); C.F. Singer (Christian); E. Friedman (Eitan); M. Thomassen (Mads); T.V.O. Hansen (Thomas); S.L. Neuhausen (Susan); C. Szabo (Csilla); I. Blanco (Ignacio); M.H. Greene (Mark); B. Karlan; J. Garber; C. Phelan (Catherine); J.N. Weitzel (Jeffrey); M. Montagna (Marco); E. Olah; I.L. Andrulis (Irene); A.K. Godwin (Andrew); D. Yannoukakos (Drakoulis); D. Goldgar (David); T. Caldes (Trinidad); H. Nevanlinna (Heli); A. Osorio (Ana); M.-B. Terry (Mary-Beth); M.B. Daly (Mary); E.J. van Rensburg (Elizabeth); U. Hamann (Ute); S.J. Ramus (Susan); A. Ewart-Toland (Amanda); M.A. Caligo (Maria); O.I. Olopade (Olofunmilayo); N. Tung (Nadine); K. Claes (Kathleen); M.S. Beattie (Mary); M.C. Southey (Melissa); E.N. Imyanitov (Evgeny); M. Tischkowitz (Marc); R. Janavicius (Ramunas); E.M. John (Esther); A. Kwong (Ava); O. Diez (Orland); J. Balmana (Judith); R.B. Barkardottir (Rosa); B.K. Arun (Banu); G. Rennert (Gad); S.-H. Teo; P.A. Ganz (Patricia); I. Campbell (Ian); A.H. van der Hout (Annemarie); C.H.M. van Deurzen (Carolien); C.M. Seynaeve (Caroline); E.B. Gómez García (Encarna); F.E. van Leeuwen (F.); H. Meijers-Heijboer (Hanne); J.J. Gille (Johan); M.G.E.M. Ausems (Margreet); M.J. Blok (Marinus); M.J. Ligtenberg (Marjolijn); M.A. Rookus (Matti); P. Devilee (Peter); S. Verhoef; T.A.M. van Os (Theo); J.T. Wijnen (Juul); D. Frost (Debra); S. Ellis (Steve); E. Fineberg (Elena); R. Platte (Radka); D.G. Evans (Gareth); L. Izatt (Louise); R. Eeles (Rosalind); J.W. Adlard (Julian); D. Eccles (Diana); J. Cook (Jackie); C. Brewer (C.); F. Douglas (Fiona); S.V. Hodgson (Shirley); P.J. Morrison (Patrick); L. Side (Lucy); A. Donaldson (Alan); C. Houghton (Catherine); M.T. Rogers (Mark); H. Dorkins (Huw); J. Eason (Jacqueline); H. Gregory (Helen); E. McCann (Emma); A. Murray (Alexandra); A. Calender (Alain); A. Hardouin (Agnès); P. Berthet (Pascaline); C.D. Delnatte (Capucine); C. Nogues (Catherine); C. Lasset (Christine); C. Houdayer (Claude); D. Leroux (Dominique); E. Rouleau (Etienne); F. Prieur (Fabienne); F. Damiola (Francesca); H. Sobol (Hagay); I. Coupier (Isabelle); L. Vénat-Bouvet (Laurence); L. Castera (Laurent); M. Gauthier-Villars (Marion); M. Léone (Mélanie); P. Pujol (Pascal); S. Mazoyer (Sylvie); Y.-J. Bignon (Yves-Jean); E. Złowocka-Perłowska (Elzbieta); J. Gronwald (Jacek); J. Lubinski (Jan); K. Durda (Katarzyna); K. Jaworska (Katarzyna); T. Huzarski (Tomasz); A.B. Spurdle (Amanda); A. Viel (Alessandra); B. Peissel (Bernard); B. Bonnani (Bernardo); G. Melloni (Giulia); L. Ottini (Laura); L. Papi (Laura); L. Varesco (Liliana); M.G. Tibiletti (Maria Grazia); P. Peterlongo (Paolo); S. Volorio (Sara); S. Manoukian (Siranoush); V. Pensotti (Valeria); N. Arnold (Norbert); C. Engel (Christoph); H. Deissler (Helmut); D. Gadzicki (Dorothea); P.A. Gehrig (Paola A.); K. Kast (Karin); K. Rhiem (Kerstin); A. Meindl (Alfons); D. Niederacher (Dieter); N. Ditsch (Nina); H. Plendl (Hansjoerg); S. Preisler-Adams (Sabine); S. Engert (Stefanie); C. Sutter (Christian); R. Varon-Mateeva (Raymonda); B. Wapenschmidt (Barbara); B.H.F. Weber (Bernhard); B. Arver (Brita Wasteson); M. Stenmark-Askmalm (M.); N. Loman (Niklas); R. Rosenquist (R.); Z. Einbeigi (Zakaria); K.L. Nathanson (Katherine); R. Rebbeck (Timothy); S.V. Blank (Stephanie); D.E. Cohn (David); G.C. Rodriguez (Gustavo); L. Small (Laurie); M. Friedlander (Michael); V.L. Bae-Jump (Victoria L.); A. Fink-Retter (Anneliese); C. Rappaport (Christine); D. Gschwantler-Kaulich (Daphne); G. Pfeiler (Georg); M.-K. Tea; N.M. Lindor (Noralane); B. Kaufman (Bella); S. Shimon Paluch (Shani); Y. Laitman (Yael); A.-B. Skytte (Anne-Bine); A-M. Gerdes (Anne-Marie); I.S. Pedersen (Inge Sokilde); S.T. Moeller (Sanne Traasdahl); T.A. Kruse (Torben); U.B. Jensen; J. Vijai (Joseph); K. Sarrel (Kara); M. Robson (Mark); N. Kauff (Noah); A.M. Mulligan (Anna Marie); G. Glendon (Gord); H. Ozcelik (Hilmi); B. Ejlertsen (Bent); F.C. Nielsen (Finn); L. Jønson (Lars); M.K. Andersen (Mette); Y.C. Ding (Yuan); L. Steele (Linda); L. Foretova (Lenka); A. Teulé (A.); C. Lazaro (Conxi); J. Brunet (Joan); M.A. Pujana (Miguel); P.L. Mai (Phuong); J.T. Loud (Jennifer); C.S. Walsh (Christine); K.J. Lester (Kathryn); S. Orsulic (Sandra); S. Narod (Steven); J. Herzog (Josef); S.R. Sand (Sharon); S. Tognazzo (Silvia); S. Agata (Simona); T. Vaszko (Tibor); J. Weaver (JoEllen); A. Stavropoulou (Alexandra); S.S. Buys (Saundra); A. Romero (Alfonso); M. de La Hoya (Miguel); K. Aittomäki (Kristiina); T.A. Muranen (Taru); M. Duran; W.K. Chung (Wendy); A. Lasa (Adriana); C.M. Dorfling (Cecelia); A. Miron (Alexander); J. Benítez (Javier); L. Senter (Leigha); D. Huo (Dezheng); S. Chan (Salina); A. Sokolenko (Anna); J. Chiquette (Jocelyne); L. Tihomirova (Laima); M.O.W. Friebel (Mark ); B.A. Agnarsson (Bjarni); K.H. Lu (Karen); F. Lejbkowicz (Flavio); P.A. James (Paul ); A.S. Hall (Alistair); A.M. Dunning (Alison); Y. Tessier (Yann); J. Cunningham (Jane); S. Slager (Susan); C. Wang (Chen); S. Hart (Stewart); K. Stevens (Kristen); J. Simard (Jacques); T. Pastinen (Tomi); V.S. Pankratz (Shane); K. Offit (Kenneth); D.F. Easton (Douglas); G. Chenevix-Trench (Georgia); A.C. Antoniou (Antonis); H. Thorne (Heather); E. Niedermayr (Eveline); Å. Borg (Åke); H. Olsson; H. Jernström (H.); K. Henriksson (Karin); K. Harbst (Katja); M. Soller (Maria); U. Kristoffersson (Ulf); A. Öfverholm (Anna); M. Nordling (Margareta); P. Karlsson (Per); A. von Wachenfeldt (Anna); A. Liljegren (Annelie); A. Lindblom (Annika); G.B. Bustinza; J. Rantala (Johanna); B. Melin (Beatrice); C.E. Ardnor (Christina Edwinsdotter); M. Emanuelsson (Monica); H. Ehrencrona (Hans); M.H. Pigg (Maritta ); S. Liedgren (Sigrun); M.A. Rookus (M.); S. Verhoef (S.); F.E. van Leeuwen (F.); M.K. Schmidt (Marjanka); J.L. de Lange (J.); J.M. Collee (Margriet); A.M.W. van den Ouweland (Ans); M.J. Hooning (Maartje); C.J. van Asperen (Christi); J.T. Wijnen (Juul); R.A.E.M. Tollenaar (Rob); P. Devilee (Peter); T.C.T.E.F. van Cronenburg; C.M. Kets; A.R. Mensenkamp (Arjen); R.B. van der Luijt (Rob); C.M. Aalfs (Cora); T.A.M. van Os (Theo); Q. Waisfisz (Quinten); E.J. Meijers-Heijboer (Hanne); E.B. Gomez Garcia (Encarna); J.C. Oosterwijk (Jan); M.J. Mourits; G.H. de Bock (Geertruida); S.D. Ellis (Steve); E. Fineberg (Elena); Z. Miedzybrodzka (Zosia); L. Jeffers (Lisa); T.J. Cole (Trevor); K.-R. Ong (Kai-Ren); J. Hoffman (Jonathan); M. James (Margaret); J. Paterson (Joan); A. Taylor (Amy); A. Murray (Anna); M.J. Kennedy (John); D.E. Barton (David); M.E. Porteous (Mary); S. Drummond (Sarah); C. Brewer (Carole); E. Kivuva (Emma); A. Searle (Anne); S. Goodman (Selina); R. Davidson (Rosemarie); V. Murday (Victoria); N. Bradshaw (Nicola); L. Snadden (Lesley); M. Longmuir (Mark); C. Watt (Catherine); S. Gibson (Sarah); E. Haque (Eshika); E. Tobias (Ed); A. Duncan (Alexis); L. Izatt (Louise); C. Jacobs (Chris); C. Langman (Caroline); A.F. Brady (Angela); S.A. Melville (Scott); K. Randhawa (Kashmir); J. Barwell (Julian); G. Serra-Feliu (Gemma); I.O. Ellis (Ian); F. Lalloo (Fiona); J. Taylor (James); A. Male (Alison); C. Berlin (Cheryl); R. Collier (Rebecca); F. Douglas (Fiona); O. Claber (Oonagh); I. Jobson (Irene); L.J. Walker (Lisa); D. McLeod (Diane); D. Halliday (Dorothy); S. Durell (Sarah); B. Stayner (Barbara); S. Shanley (Susan); N. Rahman (Nazneen); R. Houlston (Richard); A. Stormorken (Astrid); E. Bancroft (Elizabeth); E. Page (Elizabeth); A. Ardern-Jones (Audrey); K. Kohut (Kelly); J. Wiggins (Jennifer); E. Castro (Elena); S.R. Killick; S. Martin (Sue); D. Rea (Dan); A. Kulkarni (Anjana); O. Quarrell (Oliver); C. Bardsley (Cathryn); S. Goff (Sheila); G. Brice (Glen); L. Winchester (Lizzie); C. Eddy (Charlotte); V. Tripathi (Vishakha); V. Attard (Virginia); A. Lehmann (Anna); A. Lucassen (Anneke); G. Crawford (Gabe); D. McBride (Donna); S. Smalley (Sarah); S. Mazoyer (Sylvie); F. Damiola (Francesca); L. Barjhoux (Laure); C. Verny-Pierre (Carole); S. Giraud (Sophie); D. Stoppa-Lyonnet (Dominique); B. Buecher (Bruno); V. Moncoutier (Virginie); M. Belotti (Muriel); C. Tirapo (Carole); A. de Pauw (Antoine); B. Bressac-de Paillerets (Brigitte); O. Caron (Olivier); Y.-J. Bignon (Yves-Jean); N. Uhrhammer (Nancy); V. Bonadona (Valérie); S. Handallou (Sandrine); A. hardouin (Agnès); H. Sobol (Hagay); V. Bourdon (Violaine); T. Noguchi (Tetsuro); A. Remenieras (Audrey); F. Eisinger (François); J.-P. Peyrat; J. Fournier (Joëlle); F. Révillion (Françoise); P. Vennin (Philippe); C. Adenis (Claude); R. Lidereau (Rosette); L. Demange (Liliane); D.W. Muller (Danièle); J.P. Fricker (Jean Pierre); E. Barouk-Simonet (Emmanuelle); F. Bonnet (Françoise); V. Bubien (Virginie); N. Sevenet (Nicolas); M. Longy (Michel); C. Toulas (Christine); R. Guimbaud (Rosine); L. Gladieff (Laurence); V. Feillel (Viviane); H. Dreyfus (Hélène); C. Rebischung (Christine); M. Peysselon (Magalie); F. Coron (Fanny); L. Faivre (Laurence); M. Lebrun (Marine); C. Kientz (Caroline); S.F. Ferrer; M. Frenay (Marc); I. Mortemousque (Isabelle); F. Coulet (Florence); C. Colas (Chrystelle); F. Soubrier; J. Sokolowska (Johanna); M. Bronner (Myriam); H. Lynch (Henry); C.L. Snyder (Carrie); M. Angelakos (Maggie); J. Maskiell (Judi); G.S. Dite (Gillian)

    2013-01-01

    textabstractBRCA1-associated breast and ovarian cancer risks can be modified by common genetic variants. To identify further cancer risk-modifying loci, we performed a multi-stage GWAS of 11,705 BRCA1 carriers (of whom 5,920 were diagnosed with breast and 1,839 were diagnosed with ovarian cancer), w

  13. Genome-Wide Association Study in BRCA1 Mutation Carriers Identifies Novel Loci Associated with Breast and Ovarian Cancer Risk

    NARCIS (Netherlands)

    Couch, Fergus J.; Wang, Xianshu; McGuffog, Lesley; Lee, Andrew; Olswold, Curtis; Kuchenbaecker, Karoline B.; Soucy, Penny; Fredericksen, Zachary; Barrowdale, Daniel; Dennis, Joe; Gaudet, Mia M.; Dicks, Ed; Kosel, Matthew; Healey, Sue; Sinilnikova, Olga M.; Lee, Adam; Bacot, Francois; Vincent, Daniel; Hogervorst, Frans B. L.; Peock, Susan; Stoppa-Lyonnet, Dominique; Jakubowska, Anna; Radice, Paolo; Schmutzler, Rita Katharina; Domchek, Susan M.; Piedmonte, Marion; Singer, Christian F.; Friedman, Eitan; Thomassen, Mads; Hansen, Thomas V. O.; Neuhausen, Susan L.; Szabo, Csilla I.; Blanco, Ignacio; Greene, Mark H.; Karlan, Beth Y.; Garber, Judy; Phelan, Catherine M.; Weitzel, Jeffrey N.; Montagna, Marco; Olah, Edith; Andrulis, Irene L.; Godwin, Andrew K.; Yannoukakos, Drakoulis; Goldgar, David E.; Caldes, Trinidad; Nevanlinna, Heli; Osorio, Ana; Terry, Mary Beth; Daly, Mary B.; van Rensburg, Elizabeth J.; Hamann, Ute; Ramus, Susan J.; Toland, Amanda Ewart; Caligo, Maria A.; Olopade, Olufunmilayo I.; Tung, Nadine; Claes, Kathleen; Beattie, Mary S.; Southey, Melissa C.; Imyanitov, Evgeny N.; Tischkowitz, Marc; Janavicius, Ramunas; John, Esther M.; Kwong, Ava; Diez, Orland; Balmana, Judith; Barkardottir, Rosa B.; Arun, Banu K.; Rennert, Gad; Teo, Soo-Hwang; Ganz, Patricia A.; Campbell, Ian; van der Hout, Annemarie H.; van Deurzen, Carolien H. M.; Seynaeve, Caroline; Garcia, Encarna B. Gomez; van Leeuwen, Flora E.; Meijers-Heijboer, Hanne E. J.; Gille, Johannes J. P.; Ausems, Margreet G. E. M.; Blok, Marinus J.; Ligtenberg, Marjolijn J. L.; Rookus, Matti A.; Devilee, Peter; Verhoef, Senno; van Os, Theo A. M.; Wijnen, Juul T.; Frost, Debra; Ellis, Steve; Fineberg, Elena; Platte, Radka; Evans, D. Gareth; Izatt, Louise; Eeles, Rosalind A.; Adlard, Julian; Eccles, Diana M.; Cook, Jackie; Brewer, Carole; Douglas, Fiona; Hodgson, Shirley; Morrison, Patrick J.; Side, Lucy E.; Donaldson, Alan; Houghton, Catherine; Rogers, Mark T.; Dorkins, Huw; Eason, Jacqueline; Gregory, Helen; McCann, Emma; Murray, Alex; Calender, Alain; Hardouin, Agnes; Berthet, Pascaline; Delnatte, Capucine; Nogues, Catherine; Lasset, Christine; Houdayer, Claude; Leroux, Dominique; Rouleau, Etienne; Prieur, Fabienne; Damiola, Francesca; Sobol, Hagay; Coupier, Isabelle; Venat-Bouvet, Laurence; Castera, Laurent; Gauthier-Villars, Marion; Leone, Melanie; Pujol, Pascal; Mazoyer, Sylvie; Bignon, Yves-Jean; Zlowocka-Perlowska, Elzbieta; Gronwald, Jacek; Lubinski, Jan; Durda, Katarzyna; Jaworska, Katarzyna; Huzarski, Tomasz; Spurdle, Amanda B.; Viel, Alessandra; Peissel, Bernard; Bonanni, Bernardo; Melloni, Giulia; Ottini, Laura; Papi, Laura; Varesco, Liliana; Tibiletti, Maria Grazia; Peterlongo, Paolo; Volorio, Sara; Manoukian, Siranoush; Pensotti, Valeria; Arnold, Norbert; Engel, Christoph; Deissler, Helmut; Gadzicki, Dorothea; Gehrig, Andrea; Kast, Karin; Rhiem, Kerstin; Meindl, Alfons; Niederacher, Dieter; Ditsch, Nina; Plendl, Hansjoerg; Preisler-Adams, Sabine; Engert, Stefanie; Sutter, Christian; Varon-Mateeva, Raymonda; Wappenschmidt, Barbara; Weber, Bernhard H. F.; Arver, Brita; Stenmark-Askmalm, Marie; Loman, Niklas; Rosenquist, Richard; Einbeigi, Zakaria; Nathanson, Katherine L.; Rebbeck, Timothy R.; Blank, Stephanie V.; Cohn, David E.; Rodriguez, Gustavo C.; Small, Laurie; Friedlander, Michael; Bae-Jump, Victoria L.; Fink-Retter, Anneliese; Rappaport, Christine; Gschwantler-Kaulich, Daphne; Pfeiler, Georg; Tea, Muy-Kheng; Lindor, Noralane M.; Kaufman, Bella; Paluch, Shani Shimon; Laitman, Yael; Skytte, Anne-Bine; Gerdes, Anne-Marie; Pedersen, Inge Sokilde; Moeller, Sanne Traasdahl; Kruse, Torben A.; Jensen, Uffe Birk; Vijai, Joseph; Sarrel, Kara; Robson, Mark; Kauff, Noah; Mulligan, Anna Marie; Glendon, Gord; Ozcelik, Hilmi; Ejlertsen, Bent; Nielsen, Finn C.; Jonson, Lars; Andersen, Mette K.; Ding, Yuan Chun; Steele, Linda; Foretova, Lenka; Teule, Alex; Lazaro, Conxi; Brunet, Joan; Angel Pujana, Miquel; Mai, Phuong L.; Loud, Jennifer T.; Walsh, Christine; Lester, Jenny; Orsulic, Sandra; Narod, Steven A.; Herzog, Josef; Sand, Sharon R.; Tognazzo, Silvia; Agata, Simona; Vaszko, Tibor; Weaver, Joellen; Stavropoulou, Alexandra V.; Buys, Saundra S.; Romero, Atocha; de la Hoya, Miguel; Aittomaki, Kristiina; Muranen, Taru A.; Duran, Mercedes; Chung, Wendy K.; Lasa, Adriana; Dorfling, Cecilia M.; Miron, Alexander; Benitez, Javier; Senter, Leigha; Huo, Dezheng; Chan, Salina B.; Sokolenko, Anna P.; Chiquette, Jocelyne; Tihomirova, Laima; Friebel, Tara M.; Agnarsson, Bjarni A.; Lu, Karen H.; Lejbkowicz, Flavio; James, Paul A.; Hall, Per; Dunning, Alison M.

    2013-01-01

    BRCA1-associated breast and ovarian cancer risks can be modified by common genetic variants. To identify further cancer risk-modifying loci, we performed a multi-stage GWAS of 11,705 BRCA1 carriers (of whom 5,920 were diagnosed with breast and 1,839 were diagnosed with ovarian cancer), with a furthe

  14. Mass Cytometry of the Human Mucosal Immune System Identifies Tissue- and Disease-Associated Immune Subsets.

    Science.gov (United States)

    van Unen, Vincent; Li, Na; Molendijk, Ilse; Temurhan, Mine; Höllt, Thomas; van der Meulen-de Jong, Andrea E; Verspaget, Hein W; Mearin, M Luisa; Mulder, Chris J; van Bergen, Jeroen; Lelieveldt, Boudewijn P F; Koning, Frits

    2016-05-17

    Inflammatory intestinal diseases are characterized by abnormal immune responses and affect distinct locations of the gastrointestinal tract. Although the role of several immune subsets in driving intestinal pathology has been studied, a system-wide approach that simultaneously interrogates all major lineages on a single-cell basis is lacking. We used high-dimensional mass cytometry to generate a system-wide view of the human mucosal immune system in health and disease. We distinguished 142 immune subsets and through computational applications found distinct immune subsets in peripheral blood mononuclear cells and intestinal biopsies that distinguished patients from controls. In addition, mucosal lymphoid malignancies were readily detected as well as precursors from which these likely derived. These findings indicate that an integrated high-dimensional analysis of the entire immune system can identify immune subsets associated with the pathogenesis of complex intestinal disorders. This might have implications for diagnostic procedures, immune-monitoring, and treatment of intestinal diseases and mucosal malignancies.

  15. Exome Genotyping Identifies Pleiotropic Variants Associated with Red Blood Cell Traits

    DEFF Research Database (Denmark)

    Chami, Nathalie; Chen, Ming-Huei; Slater, Andrew J

    2016-01-01

    Red blood cell (RBC) traits are important heritable clinical biomarkers and modifiers of disease severity. To identify coding genetic variants associated with these traits, we conducted meta-analyses of seven RBC phenotypes in 130,273 multi-ethnic individuals from studies genotyped on an exome...... highlighted three rare missense variants in PKLR, a gene mutated in Mendelian non-spherocytic hemolytic anemia, associated with HGB and HCT (SKAT p blood cell, and lipid traits. Our...

  16. Gene network analysis in a pediatric cohort identifies novel lung function genes.

    Directory of Open Access Journals (Sweden)

    Bruce A Ong

    Full Text Available Lung function is a heritable trait and serves as an important clinical predictor of morbidity and mortality for pulmonary conditions in adults, however, despite its importance, no studies have focused on uncovering pediatric-specific loci influencing lung function. To identify novel genetic determinants of pediatric lung function, we conducted a genome-wide association study (GWAS of four pulmonary function traits, including FVC, FEV1, FEV1/FVC and FEF25-75% in 1556 children. Further, we carried out gene network analyses for each trait including all SNPs with a P-value of <1.0 × 10(-3 from the individual GWAS. The GWAS identified SNPs with notable trends towards association with the pulmonary function measures, including the previously described INTS12 locus association with FEV1 (pmeta=1.41 × 10(-7. The gene network analyses identified 34 networks of genes associated with pulmonary function variables in Caucasians. Of those, the glycoprotein gene network reached genome-wide significance for all four variables. P-value range pmeta=6.29 × 10(-4 - 2.80 × 10(-8 on meta-analysis. In this study, we report on specific pathways that are significantly associated with pediatric lung function at genome-wide significance. In addition, we report the first loci associated with lung function in both pediatric Caucasian and African American populations.

  17. Novel Rheumatoid Arthritis Susceptibility Locus at 22q12 Identified in an Extended UK Genome-Wide Association Study

    Science.gov (United States)

    Orozco, Gisela; Viatte, Sebastien; Bowes, John; Martin, Paul; Wilson, Anthony G; Morgan, Ann W; Steer, Sophia; Wordsworth, Paul; Hocking, Lynne J; Barton, Anne; Worthington, Jane; Eyre, Stephen

    2014-01-01

    Objective The number of confirmed rheumatoid arthritis (RA) loci currently stands at 32, but many lines of evidence indicate that expansion of existing genome-wide association studies (GWAS) enhances the power to detect additional loci. This study was undertaken to extend our previous RA GWAS in a UK cohort, adding more independent RA cases and healthy controls, with the aim of detecting novel association signals for susceptibility to RA in a homogeneous UK cohort. Methods A total of 3,223 UK RA cases and 5,272 UK controls were available for association analyses, with the extension adding 1,361 cases and 2,334 controls to the original GWAS data set. The genotype data for all RA cases were imputed using the Impute program version 2. After stringent quality control thresholds were applied, 3,034 cases and 5,271 controls (1,831,729 single-nucleotide polymorphisms [SNPs]) were available for analysis. Association testing was performed using Plink software. Results The analyses indicated a suggestive association with susceptibility to RA (P < 0.0001) for 6 novel RA loci that have been previously found to be associated with other autoimmune diseases; these 6 SNPs were genotyped in independent samples. Two of the associated loci were validated, one of which was associated with RA at genome-wide levels of significance in the combined analysis, identifying a novel RA locus at 22q12 (P = 6.9 × 10−9). In addition, most of the previously known RA susceptibility loci were confirmed to be associated with RA, and for 16 of the loci, the strength of the association was increased. Conclusion This study identified a new RA locus mapping to 22q12. These results support the notion that increasing the power of GWAS enhances novel gene discovery. PMID:24449572

  18. Exome Genotyping Identifies Pleiotropic Variants Associated with Red Blood Cell Traits.

    Science.gov (United States)

    Chami, Nathalie; Chen, Ming-Huei; Slater, Andrew J; Eicher, John D; Evangelou, Evangelos; Tajuddin, Salman M; Love-Gregory, Latisha; Kacprowski, Tim; Schick, Ursula M; Nomura, Akihiro; Giri, Ayush; Lessard, Samuel; Brody, Jennifer A; Schurmann, Claudia; Pankratz, Nathan; Yanek, Lisa R; Manichaikul, Ani; Pazoki, Raha; Mihailov, Evelin; Hill, W David; Raffield, Laura M; Burt, Amber; Bartz, Traci M; Becker, Diane M; Becker, Lewis C; Boerwinkle, Eric; Bork-Jensen, Jette; Bottinger, Erwin P; O'Donoghue, Michelle L; Crosslin, David R; de Denus, Simon; Dubé, Marie-Pierre; Elliott, Paul; Engström, Gunnar; Evans, Michele K; Floyd, James S; Fornage, Myriam; Gao, He; Greinacher, Andreas; Gudnason, Vilmundur; Hansen, Torben; Harris, Tamara B; Hayward, Caroline; Hernesniemi, Jussi; Highland, Heather M; Hirschhorn, Joel N; Hofman, Albert; Irvin, Marguerite R; Kähönen, Mika; Lange, Ethan; Launer, Lenore J; Lehtimäki, Terho; Li, Jin; Liewald, David C M; Linneberg, Allan; Liu, Yongmei; Lu, Yingchang; Lyytikäinen, Leo-Pekka; Mägi, Reedik; Mathias, Rasika A; Melander, Olle; Metspalu, Andres; Mononen, Nina; Nalls, Mike A; Nickerson, Deborah A; Nikus, Kjell; O'Donnell, Chris J; Orho-Melander, Marju; Pedersen, Oluf; Petersmann, Astrid; Polfus, Linda; Psaty, Bruce M; Raitakari, Olli T; Raitoharju, Emma; Richard, Melissa; Rice, Kenneth M; Rivadeneira, Fernando; Rotter, Jerome I; Schmidt, Frank; Smith, Albert Vernon; Starr, John M; Taylor, Kent D; Teumer, Alexander; Thuesen, Betina H; Torstenson, Eric S; Tracy, Russell P; Tzoulaki, Ioanna; Zakai, Neil A; Vacchi-Suzzi, Caterina; van Duijn, Cornelia M; van Rooij, Frank J A; Cushman, Mary; Deary, Ian J; Velez Edwards, Digna R; Vergnaud, Anne-Claire; Wallentin, Lars; Waterworth, Dawn M; White, Harvey D; Wilson, James G; Zonderman, Alan B; Kathiresan, Sekar; Grarup, Niels; Esko, Tõnu; Loos, Ruth J F; Lange, Leslie A; Faraday, Nauder; Abumrad, Nada A; Edwards, Todd L; Ganesh, Santhi K; Auer, Paul L; Johnson, Andrew D; Reiner, Alexander P; Lettre, Guillaume

    2016-07-01

    Red blood cell (RBC) traits are important heritable clinical biomarkers and modifiers of disease severity. To identify coding genetic variants associated with these traits, we conducted meta-analyses of seven RBC phenotypes in 130,273 multi-ethnic individuals from studies genotyped on an exome array. After conditional analyses and replication in 27,480 independent individuals, we identified 16 new RBC variants. We found low-frequency missense variants in MAP1A (rs55707100, minor allele frequency [MAF] = 3.3%, p = 2 × 10(-10) for hemoglobin [HGB]) and HNF4A (rs1800961, MAF = 2.4%, p < 3 × 10(-8) for hematocrit [HCT] and HGB). In African Americans, we identified a nonsense variant in CD36 associated with higher RBC distribution width (rs3211938, MAF = 8.7%, p = 7 × 10(-11)) and showed that it is associated with lower CD36 expression and strong allelic imbalance in ex vivo differentiated human erythroblasts. We also identified a rare missense variant in ALAS2 (rs201062903, MAF = 0.2%) associated with lower mean corpuscular volume and mean corpuscular hemoglobin (p < 8 × 10(-9)). Mendelian mutations in ALAS2 are a cause of sideroblastic anemia and erythropoietic protoporphyria. Gene-based testing highlighted three rare missense variants in PKLR, a gene mutated in Mendelian non-spherocytic hemolytic anemia, associated with HGB and HCT (SKAT p < 8 × 10(-7)). These rare, low-frequency, and common RBC variants showed pleiotropy, being also associated with platelet, white blood cell, and lipid traits. Our association results and functional annotation suggest the involvement of new genes in human erythropoiesis. We also confirm that rare and low-frequency variants play a role in the architecture of complex human traits, although their phenotypic effect is generally smaller than originally anticipated.

  19. Platelet-Related Variants Identified by Exomechip Meta-analysis in 157,293 Individuals.

    Science.gov (United States)

    Eicher, John D; Chami, Nathalie; Kacprowski, Tim; Nomura, Akihiro; Chen, Ming-Huei; Yanek, Lisa R; Tajuddin, Salman M; Schick, Ursula M; Slater, Andrew J; Pankratz, Nathan; Polfus, Linda; Schurmann, Claudia; Giri, Ayush; Brody, Jennifer A; Lange, Leslie A; Manichaikul, Ani; Hill, W David; Pazoki, Raha; Elliot, Paul; Evangelou, Evangelos; Tzoulaki, Ioanna; Gao, He; Vergnaud, Anne-Claire; Mathias, Rasika A; Becker, Diane M; Becker, Lewis C; Burt, Amber; Crosslin, David R; Lyytikäinen, Leo-Pekka; Nikus, Kjell; Hernesniemi, Jussi; Kähönen, Mika; Raitoharju, Emma; Mononen, Nina; Raitakari, Olli T; Lehtimäki, Terho; Cushman, Mary; Zakai, Neil A; Nickerson, Deborah A; Raffield, Laura M; Quarells, Rakale; Willer, Cristen J; Peloso, Gina M; Abecasis, Goncalo R; Liu, Dajiang J; Deloukas, Panos; Samani, Nilesh J; Schunkert, Heribert; Erdmann, Jeanette; Fornage, Myriam; Richard, Melissa; Tardif, Jean-Claude; Rioux, John D; Dube, Marie-Pierre; de Denus, Simon; Lu, Yingchang; Bottinger, Erwin P; Loos, Ruth J F; Smith, Albert Vernon; Harris, Tamara B; Launer, Lenore J; Gudnason, Vilmundur; Velez Edwards, Digna R; Torstenson, Eric S; Liu, Yongmei; Tracy, Russell P; Rotter, Jerome I; Rich, Stephen S; Highland, Heather M; Boerwinkle, Eric; Li, Jin; Lange, Ethan; Wilson, James G; Mihailov, Evelin; Mägi, Reedik; Hirschhorn, Joel; Metspalu, Andres; Esko, Tõnu; Vacchi-Suzzi, Caterina; Nalls, Mike A; Zonderman, Alan B; Evans, Michele K; Engström, Gunnar; Orho-Melander, Marju; Melander, Olle; O'Donoghue, Michelle L; Waterworth, Dawn M; Wallentin, Lars; White, Harvey D; Floyd, James S; Bartz, Traci M; Rice, Kenneth M; Psaty, Bruce M; Starr, J M; Liewald, David C M; Hayward, Caroline; Deary, Ian J; Greinacher, Andreas; Völker, Uwe; Thiele, Thomas; Völzke, Henry; van Rooij, Frank J A; Uitterlinden, André G; Franco, Oscar H; Dehghan, Abbas; Edwards, Todd L; Ganesh, Santhi K; Kathiresan, Sekar; Faraday, Nauder; Auer, Paul L; Reiner, Alex P; Lettre, Guillaume; Johnson, Andrew D

    2016-07-01

    Platelet production, maintenance, and clearance are tightly controlled processes indicative of platelets' important roles in hemostasis and thrombosis. Platelets are common targets for primary and secondary prevention of several conditions. They are monitored clinically by complete blood counts, specifically with measurements of platelet count (PLT) and mean platelet volume (MPV). Identifying genetic effects on PLT and MPV can provide mechanistic insights into platelet biology and their role in disease. Therefore, we formed the Blood Cell Consortium (BCX) to perform a large-scale meta-analysis of Exomechip association results for PLT and MPV in 157,293 and 57,617 individuals, respectively. Using the low-frequency/rare coding variant-enriched Exomechip genotyping array, we sought to identify genetic variants associated with PLT and MPV. In addition to confirming 47 known PLT and 20 known MPV associations, we identified 32 PLT and 18 MPV associations not previously observed in the literature across the allele frequency spectrum, including rare large effect (FCER1A), low-frequency (IQGAP2, MAP1A, LY75), and common (ZMIZ2, SMG6, PEAR1, ARFGAP3/PACSIN2) variants. Several variants associated with PLT/MPV (PEAR1, MRVI1, PTGES3) were also associated with platelet reactivity. In concurrent BCX analyses, there was overlap of platelet-associated variants with red (MAP1A, TMPRSS6, ZMIZ2) and white (PEAR1, ZMIZ2, LY75) blood cell traits, suggesting common regulatory pathways with shared genetic architecture among these hematopoietic lineages. Our large-scale Exomechip analyses identified previously undocumented associations with platelet traits and further indicate that several complex quantitative hematological, lipid, and cardiovascular traits share genetic factors.

  20. Identifying genomic changes associated with insecticide resistance in the dengue mosquito Aedes aegypti by deep targeted sequencing.

    Science.gov (United States)

    Faucon, Frederic; Dusfour, Isabelle; Gaude, Thierry; Navratil, Vincent; Boyer, Frederic; Chandre, Fabrice; Sirisopa, Patcharawan; Thanispong, Kanutcharee; Juntarajumnong, Waraporn; Poupardin, Rodolphe; Chareonviriyaphap, Theeraphap; Girod, Romain; Corbel, Vincent; Reynaud, Stephane; David, Jean-Philippe

    2015-09-01

    The capacity of mosquitoes to resist insecticides threatens the control of diseases such as dengue and malaria. Until alternative control tools are implemented, characterizing resistance mechanisms is crucial for managing resistance in natural populations. Insecticide biodegradation by detoxification enzymes is a common resistance mechanism; however, the genomic changes underlying this mechanism have rarely been identified, precluding individual resistance genotyping. In particular, the role of copy number variations (CNVs) and polymorphisms of detoxification enzymes have never been investigated at the genome level, although they can represent robust markers of metabolic resistance. In this context, we combined target enrichment with high-throughput sequencing for conducting the first comprehensive screening of gene amplifications and polymorphisms associated with insecticide resistance in mosquitoes. More than 760 candidate genes were captured and deep sequenced in several populations of the dengue mosquito Ae. aegypti displaying distinct genetic backgrounds and contrasted resistance levels to the insecticide deltamethrin. CNV analysis identified 41 gene amplifications associated with resistance, most affecting cytochrome P450s overtranscribed in resistant populations. Polymorphism analysis detected more than 30,000 variants and strong selection footprints in specific genomic regions. Combining Bayesian and allele frequency filtering approaches identified 55 nonsynonymous variants strongly associated with resistance. Both CNVs and polymorphisms were conserved within regions but differed across continents, confirming that genomic changes underlying metabolic resistance to insecticides are not universal. By identifying novel DNA markers of insecticide resistance, this study opens the way for tracking down metabolic changes developed by mosquitoes to resist insecticides within and among populations.

  1. Gene expression meta-analysis identifies chromosomal regions involved in ovarian cancer survival

    DEFF Research Database (Denmark)

    Thomassen, Mads; Jochumsen, Kirsten M; Mogensen, Ole;

    2009-01-01

    the relation of gene expression and chromosomal position to identify chromosomal regions of importance for early recurrence of ovarian cancer. By use of *Gene Set Enrichment Analysis*, we have ranked chromosomal regions according to their association to survival. Over-representation analysis including 1......Ovarian cancer cells exhibit complex karyotypic alterations causing deregulation of numerous genes. Some of these genes are probably causal for cancer formation and local growth, whereas others are causal for metastasis and recurrence. By using publicly available data sets, we have investigated......-4 consecutive cytogenetic bands identified regions with increased expression for chromosome 5q12-14, and a very large region of chromosome 7 with the strongest signal at 7p15-13 among tumors from short-living patients. Reduced gene expression was identified at 4q26-32, 6p12-q15, 9p21-q32, and 11p14-11. We...

  2. Identifying the Types of Student and Teacher Behaviours Associated with Teacher Stress

    Science.gov (United States)

    Geving, Allison M.

    2007-01-01

    The objectives of this study were to identify the student behaviours associated with teacher stress and determine the types of teacher behaviours that may elicit these stressful student behaviours. Student teachers (n = 186) and their supervising teachers (n = 77) completed a stressful student behaviour questionnaire, a teacher behaviour…

  3. Seven prostate cancer susceptibility loci identified by a multi-stage genome-wide association study

    DEFF Research Database (Denmark)

    Kote-Jarai, Zsofia; Olama, Ali Amin Al; Giles, Graham G

    2011-01-01

    Prostate cancer (PrCa) is the most frequently diagnosed male cancer in developed countries. We conducted a multi-stage genome-wide association study for PrCa and previously reported the results of the first two stages, which identified 16 PrCa susceptibility loci. We report here the results of st...

  4. Dense genotyping identifies and localizes multiple common and rare variant association signals in celiac disease

    NARCIS (Netherlands)

    Trynka, G.; Hunt, K.A.; Bockett, N.A.; Romanos, J.; Mistry, V.; Szperl, A.; Bakker, S.F.; Bardella, M.T.; Bhaw-Rosun, L.; Castillejo, G.; Concha, E. de la; Almeida, R.C. de; Dias, K.R.; Diemen, C.C. van; Dubois, P.C.; Duerr, R.H.; Edkins, S.; Franke, L.; Fransen, K.; Gutierrez, J.; Heap, G.A.; Hrdlickova, B.; Hunt, S.; Izurieta, L.P.; Izzo, V.; Joosten, L.A.B.; Langford, C.; Mazzilli, M.C.; Mein, C.A.; Midah, V.; Mitrovic, M.; Mora, B.; Morelli, M.; Nutland, S.; Nunez, C.; Onengut-Gumuscu, S.; Pearce, K.; Platteel, M.; Polanco, I.; Potter, S.; Ribes-Koninckx, C.; Ricano-Ponce, I.; Rich, S.S.; Rybak, A.; Santiago, J.L.; Senapati, S.; Sood, A.; Szajewska, H.; Troncone, R.; Varade, J.; Wallace, C.; Wolters, V.M.; Zhernakova, A.; Thelma, B.K.; Cukrowska, B.; Urcelay, E.; Bilbao, J.R.; Mearin, M.L.; Barisani, D.; Barrett, J.C.; Plagnol, V.; Deloukas, P.; Wijmenga, C.; Heel, D.A. van

    2011-01-01

    Using variants from the 1000 Genomes Project pilot European CEU dataset and data from additional resequencing studies, we densely genotyped 183 non-HLA risk loci previously associated with immune-mediated diseases in 12,041 individuals with celiac disease (cases) and 12,228 controls. We identified 1

  5. 75 FR 20672 - Additional Identifying Information Associated With Persons Whose Property and Interests in...

    Science.gov (United States)

    2010-04-20

    ... From the Federal Register Online via the Government Publishing Office DEPARTMENT OF THE TREASURY Office of Foreign Assets Control Additional Identifying Information Associated With Persons Whose... piracy and armed robbery at sea off the coast of Somalia. Section 1 of the Order blocks, with...

  6. Deep resequencing of GWAS loci identifies independent rare variants associated with inflammatory bowel disease

    NARCIS (Netherlands)

    Rivas, Manuel A.; Beaudoin, Melissa; Gardet, Agnes; Stevens, Christine; Sharma, Yashoda; Zhang, Clarence K.; Boucher, Gabrielle; Ripke, Stephan; Ellinghaus, David; Burtt, Noel; Fennell, Tim; Kirby, Andrew; Latiano, Anna; Goyette, Philippe; Green, Todd; Halfvarson, Jonas; Haritunians, Talin; Korn, Joshua M.; Kuruvilla, Finny; Lagace, Caroline; Neale, Benjamin; Lo, Ken Sin; Schumm, Phil; Torkvist, Leif; Dubinsky, Marla C.; Brant, Steven R.; Silverberg, Mark S.; Duerr, Richard H.; Altshuler, David; Gabriel, Stacey; Lettre, Guillaume; Franke, Andre; D'Amato, Mauro; McGovern, Dermot P. B.; Cho, Judy H.; Rioux, John D.; Xavier, Ramnik J.; Daly, Mark J.

    2011-01-01

    More than 1,000 susceptibility loci have been identified through genome-wide association studies (GWAS) of common variants; however, the specific genes and full allelic spectrum of causal variants underlying these findings have not yet been defined. Here we used pooled next-generation sequencing to

  7. Methods for identifying pregnancy-associated deaths: population-based data from Finland 1987-2000.

    Science.gov (United States)

    Gissler, Mika; Berg, Cynthia; Bouvier-Colle, Marie-Hélène; Buekens, Pierre

    2004-11-01

    To find maternal and pregnancy-related deaths, it is important that all pregnancy-associated deaths are identified. This article examines the effect of data linkages between national health care registers and complete death certificate data on pregnancy-associated deaths. All deaths among women of reproductive age (15-49 years) in Finland during the period 1987-2000 (n = 15 823) were identified from the Cause-of-Death Register and linked to the Medical Birth Register (n = 865 988 births), the Register on Induced Abortions (n = 156 789 induced abortions), and the Hospital Discharge Register (n = 118 490 spontaneous abortions) to determine whether women had been pregnant within 1 year before death. The death certificates of the 419 women thus identified were reviewed to find whether the pregnancy or its termination was coded or mentioned. In total, 405 deaths (96.7%) were identified in registers other than the Cause-of-Death Register. Without data linkages, 73% of all pregnancy-associated deaths would have been missed; the percentage after induced and spontaneous abortions was even higher. Data linkages to national health care registers provide better information on maternal deaths and pregnancy-associated deaths than death certificates alone. If possible, pregnancies not ending in a live birth should be included in the data linkages.

  8. Exome Genotyping Identifies Pleiotropic Variants Associated with Red Blood Cell Traits

    NARCIS (Netherlands)

    Chami, N. (Nathalie); M.-H. Chen (Ming-Huei); Slater, A.J. (Andrew J.); Eicher, J.D. (John D.); E. Evangelou (Evangelos); Tajuddin, S.M. (Salman M.); Love-Gregory, L. (Latisha); T. Kacprowski (Tim); U.M. Schick (Ursula); Nomura, A. (Akihiro); Giri, A. (Ayush); Lessard, S. (Samuel); J. Brody (Jennifer); C. Schurmann (Claudia); V.S. Pankratz (Shane); L.R. Yanek (Lisa); A. Manichaikul (Ani); R. Pazoki (Raha); E. Mihailov (Evelin); W.D. Hill (W. David); Raffield, L.M. (Laura M.); A.D. Burt (Alastair); T.M. Bartz (Traci M.); D.M. Becker (Diane); L.C. Becker (Lewis); E.A. Boerwinkle (Eric); J. Bork-Jensen (Jette); E.P. Bottinger (Erwin); M.L. O'Donoghue (Michelle L.); D.R. Crosslin (David); de Denus, S. (Simon); Dubé, M.-P. (Marie-Pierre); P. Elliott (Paul); G. Engström; M. Evans (Michele); J. Floyd (James); M. Fornage (Myriam); Gao, H. (He); A. Greinacher (Andreas); V. Gudnason (Vilmundur); T. Hansen (T.); T.B. Harris (Tamara); C. Hayward (Caroline); Hernesniemi, J. (Jussi); H. Highland (Heather); J.N. Hirschhorn (Joel); Hofman, A. (Albert); Irvin, M.R. (Marguerite R.); M. Kähönen (Mika); E.M. Lange (Ethan); Launer, L.J. (Lenore J.); T. Lehtimäki (Terho); Li, J. (Jin); D.C. Liewald (David C.); A. Linneberg (Allan); Y. Liu (Yongmei); Y. Lu (Yingchang); L.-P. Lyytikäinen (Leo-Pekka); R. Mägi (Reedik); J. Mathias (Jasmine); O. Melander (Olle); A. Metspalu (Andres); K. Mononen (Kari); M.A. Nalls (Michael); D.A. Nickerson (Deborah); K. Nikus (Kjell); C.J. O'Donnell (Christopher); M. Orho-Melander (Marju); O. Pedersen (Oluf); A. Petersmann (Astrid); Polfus, L. (Linda); B.M. Psaty (Bruce); O.T. Raitakari (Olli T.); Raitoharju, E. (Emma); Richard, M. (Melissa); K.M. Rice (Kenneth); F. Rivadeneira Ramirez (Fernando); Rotter, J.I. (Jerome I.); Schmidt, F. (Frank); A.V. Smith (Albert Vernon); J.M. Starr (John); K.D. Taylor (Kent); A. Teumer (Alexander); Thuesen, B.H. (Betina H.); Torstenson, E.S. (Eric S.); R.P. Tracy (Russell); I. Tzoulaki; N.A. Zakai (Neil); Vacchi-Suzzi, C. (Caterina); C.M. van Duijn (Cock); F.J.A. van Rooij (Frank); M. Cushman (Mary Ann); I.J. Deary (Ian J.); Velez Edwards, D.R. (Digna R.); Vergnaud, A.-C. (Anne-Claire); L.C. Wallentin (Lars); D. Waterworth (Dawn); White, H.D. (Harvey D.); J.F. Wilson (James); A.B. Zonderman; S. Kathiresan (Sekar); N. Grarup (Niels); T. Esko (Tõnu); R.J.F. Loos (Ruth); L.A. Lange (Leslie); Faraday, N. (Nauder); Abumrad, N.A. (Nada A.); T.L. Edwards (Todd L.); S.K. Ganesh (Santhi); P. Auer (Paul); A.D. Johnson (Andrew); A. Reiner (Alexander); G. Lettre (Guillaume)

    2016-01-01

    textabstractRed blood cell (RBC) traits are important heritable clinical biomarkers and modifiers of disease severity. To identify coding genetic variants associated with these traits, we conducted meta-analyses of seven RBC phenotypes in 130,273 multi-ethnic individuals from studies genotyped on an

  9. Genome-wide association study identifies candidate genes for starch content regulation in maize kernels

    Directory of Open Access Journals (Sweden)

    Na Liu

    2016-07-01

    Full Text Available Kernel starch content is an important trait in maize (Zea mays L. as it accounts for 65% to 75% of the dry kernel weight and positively correlates with seed yield. A number of starch synthesis-related genes have been identified in maize in recent years. However, many loci underlying variation in starch content among maize inbred lines still remain to be identified. The current study is a genome-wide association study that used a set of 263 maize inbred lines. In this panel, the average kernel starch content was 66.99%, ranging from 60.60% to 71.58% over the three study years. These inbred lines were genotyped with the SNP50 BeadChip maize array, which is comprised of 56,110 evenly spaced, random SNPs. Population structure was controlled by a mixed linear model (MLM as implemented in the software package TASSEL. After the statistical analyses, four SNPs were identified as significantly associated with starch content (P ≤ 0.0001, among which one each are located on chromosomes 1 and 5 and two are on chromosome 2. Furthermore, 77 candidate genes associated with starch synthesis were found within the 100-kb intervals containing these four QTLs, and four highly associated genes were within 20-kb intervals of the associated SNPs. Among the four genes, Glucose-1-phosphate adenylyltransferase (APS1; Gene ID GRMZM2G163437 is known as an important regulator of kernel starch content. The identified SNPs, QTLs, and candidate genes may not only be readily used for germplasm improvement by marker-assisted selection in breeding, but can also elucidate the genetic basis of starch content. Further studies on these identified candidate genes may help determine the molecular mechanisms regulating kernel starch content in maize and other important cereal crops.

  10. A genome-wide association study of COPD identifies a susceptibility locus on chromosome 19q13.

    Science.gov (United States)

    Cho, Michael H; Castaldi, Peter J; Wan, Emily S; Siedlinski, Mateusz; Hersh, Craig P; Demeo, Dawn L; Himes, Blanca E; Sylvia, Jody S; Klanderman, Barbara J; Ziniti, John P; Lange, Christoph; Litonjua, Augusto A; Sparrow, David; Regan, Elizabeth A; Make, Barry J; Hokanson, John E; Murray, Tanda; Hetmanski, Jacqueline B; Pillai, Sreekumar G; Kong, Xiangyang; Anderson, Wayne H; Tal-Singer, Ruth; Lomas, David A; Coxson, Harvey O; Edwards, Lisa D; MacNee, William; Vestbo, Jørgen; Yates, Julie C; Agusti, Alvar; Calverley, Peter M A; Celli, Bartolome; Crim, Courtney; Rennard, Stephen; Wouters, Emiel; Bakke, Per; Gulsvik, Amund; Crapo, James D; Beaty, Terri H; Silverman, Edwin K

    2012-02-15

    The genetic risk factors for chronic obstructive pulmonary disease (COPD) are still largely unknown. To date, genome-wide association studies (GWASs) of limited size have identified several novel risk loci for COPD at CHRNA3/CHRNA5/IREB2, HHIP and FAM13A; additional loci may be identified through larger studies. We performed a GWAS using a total of 3499 cases and 1922 control subjects from four cohorts: the Evaluation of COPD Longitudinally to Identify Predictive Surrogate Endpoints (ECLIPSE); the Normative Aging Study (NAS) and National Emphysema Treatment Trial (NETT); Bergen, Norway (GenKOLS); and the COPDGene study. Genotyping was performed on Illumina platforms with additional markers imputed using 1000 Genomes data; results were summarized using fixed-effect meta-analysis. We identified a new genome-wide significant locus on chromosome 19q13 (rs7937, OR = 0.74, P = 2.9 × 10(-9)). Genotyping this single nucleotide polymorphism (SNP) and another nearby SNP in linkage disequilibrium (rs2604894) in 2859 subjects from the family-based International COPD Genetics Network study (ICGN) demonstrated supportive evidence for association for COPD (P = 0.28 and 0.11 for rs7937 and rs2604894), pre-bronchodilator FEV(1) (P = 0.08 and 0.04) and severe (GOLD 3&4) COPD (P = 0.09 and 0.017). This region includes RAB4B, EGLN2, MIA and CYP2A6, and has previously been identified in association with cigarette smoking behavior.

  11. Common genetic variants associated with cognitive performance identified using the proxy-phenotype method

    Science.gov (United States)

    Rietveld, Cornelius A.; Esko, Tõnu; Davies, Gail; Pers, Tune H.; Turley, Patrick; Benyamin, Beben; Chabris, Christopher F.; Emilsson, Valur; Johnson, Andrew D.; Lee, James J.; de Leeuw, Christiaan; Marioni, Riccardo E.; Medland, Sarah E.; Miller, Michael B.; Rostapshova, Olga; van der Lee, Sven J.; Vinkhuyzen, Anna A. E.; Amin, Najaf; Conley, Dalton; Derringer, Jaime; van Duijn, Cornelia M.; Fehrmann, Rudolf; Franke, Lude; Glaeser, Edward L.; Hansell, Narelle K.; Hayward, Caroline; Iacono, William G.; Ibrahim-Verbaas, Carla; Jaddoe, Vincent; Karjalainen, Juha; Laibson, David; Lichtenstein, Paul; Liewald, David C.; Magnusson, Patrik K. E.; Martin, Nicholas G.; McGue, Matt; McMahon, George; Pedersen, Nancy L.; Pinker, Steven; Porteous, David J.; Posthuma, Danielle; Rivadeneira, Fernando; Smith, Blair H.; Starr, John M.; Tiemeier, Henning; Timpson, Nicholas J.; Trzaskowski, Maciej; Uitterlinden, André G.; Verhulst, Frank C.; Ward, Mary E.; Wright, Margaret J.; Davey Smith, George; Deary, Ian J.; Johannesson, Magnus; Plomin, Robert; Visscher, Peter M.; Benjamin, Daniel J.; Koellinger, Philipp D.

    2014-01-01

    We identify common genetic variants associated with cognitive performance using a two-stage approach, which we call the proxy-phenotype method. First, we conduct a genome-wide association study of educational attainment in a large sample (n = 106,736), which produces a set of 69 education-associated SNPs. Second, using independent samples (n = 24,189), we measure the association of these education-associated SNPs with cognitive performance. Three SNPs (rs1487441, rs7923609, and rs2721173) are significantly associated with cognitive performance after correction for multiple hypothesis testing. In an independent sample of older Americans (n = 8,652), we also show that a polygenic score derived from the education-associated SNPs is associated with memory and absence of dementia. Convergent evidence from a set of bioinformatics analyses implicates four specific genes (KNCMA1, NRXN1, POU2F3, and SCRT). All of these genes are associated with a particular neurotransmitter pathway involved in synaptic plasticity, the main cellular mechanism for learning and memory. PMID:25201988

  12. Functional analysis of variance for association studies.

    Directory of Open Access Journals (Sweden)

    Olga A Vsevolozhskaya

    Full Text Available While progress has been made in identifying common genetic variants associated with human diseases, for most of common complex diseases, the identified genetic variants only account for a small proportion of heritability. Challenges remain in finding additional unknown genetic variants predisposing to complex diseases. With the advance in next-generation sequencing technologies, sequencing studies have become commonplace in genetic research. The ongoing exome-sequencing and whole-genome-sequencing studies generate a massive amount of sequencing variants and allow researchers to comprehensively investigate their role in human diseases. The discovery of new disease-associated variants can be enhanced by utilizing powerful and computationally efficient statistical methods. In this paper, we propose a functional analysis of variance (FANOVA method for testing an association of sequence variants in a genomic region with a qualitative trait. The FANOVA has a number of advantages: (1 it tests for a joint effect of gene variants, including both common and rare; (2 it fully utilizes linkage disequilibrium and genetic position information; and (3 allows for either protective or risk-increasing causal variants. Through simulations, we show that FANOVA outperform two popularly used methods - SKAT and a previously proposed method based on functional linear models (FLM, - especially if a sample size of a study is small and/or sequence variants have low to moderate effects. We conduct an empirical study by applying three methods (FANOVA, SKAT and FLM to sequencing data from Dallas Heart Study. While SKAT and FLM respectively detected ANGPTL 4 and ANGPTL 3 associated with obesity, FANOVA was able to identify both genes associated with obesity.

  13. Identifying Ecosystem Services of Rivers and Streams Through Content Analysis

    Science.gov (United States)

    While much ecosystem services research focuses on analysis such as mapping and/or valuation, fewer research efforts are directed toward in-depth understanding of the specific ecological quantities people value. Ecosystem service monitoring and analysis efforts and communications ...

  14. Genome-wide association studies in East Asians identify new loci for waist-hip ratio and waist circumference

    Science.gov (United States)

    Wen, Wanqing; Kato, Norihiro; Hwang, Joo-Yeon; Guo, Xingyi; Tabara, Yasuharu; Li, Huaixing; Dorajoo, Rajkumar; Yang, Xiaobo; Tsai, Fuu-Jen; Li, Shengxu; Wu, Ying; Wu, Tangchun; Kim, Soriul; Guo, Xiuqing; Liang, Jun; Shungin, Dmitry; Adair, Linda S.; Akiyama, Koichi; Allison, Matthew; Cai, Qiuyin; Chang, Li-Ching; Chen, Chien-Hsiun; Chen, Yuan-Tsong; Cho, Yoon Shin; Choi, Bo Youl; Gao, Yutang; Go, Min Jin; Gu, Dongfeng; Han, Bok-Ghee; He, Meian; Hixson, James E.; Hu, Yanling; Huang, Tao; Isono, Masato; Jung, Keum Ji; Kang, Daehee; Kim, Young Jin; Kita, Yoshikuni; Lee, Juyoung; Lee, Nanette R.; Lee, Jeannette; Wang, Yiqin; Liu, Jian-Jun; Long, Jirong; Moon, Sanghoon; Nakamura, Yasuyuki; Nakatochi, Masahiro; Ohnaka, Keizo; Rao, Dabeeru; Shi, Jiajun; Sull, Jae Woong; Tan, Aihua; Ueshima, Hirotsugu; Wu, Chen; Xiang, Yong-Bing; Yamamoto, Ken; Yao, Jie; Ye, Xingwang; Yokota, Mitsuhiro; Zhang, Xiaomin; Zheng, Yan; Qi, Lu; Rotter, Jerome I.; Jee, Sun Ha; Lin, Dongxin; Mohlke, Karen L.; He, Jiang; Mo, Zengnan; Wu, Jer-Yuarn; Tai, E. Shyong; Lin, Xu; Miki, Tetsuro; Kim, Bong-Jo; Takeuchi, Fumihiko; Zheng, Wei; Shu, Xiao-Ou

    2016-01-01

    Sixty genetic loci associated with abdominal obesity, measured by waist circumference (WC) and waist-hip ratio (WHR), have been previously identified, primarily from studies conducted in European-ancestry populations. We conducted a meta-analysis of associations of abdominal obesity with approximately 2.5 million single nucleotide polymorphisms (SNPs) among 53,052 (for WC) and 48,312 (for WHR) individuals of Asian descent, and replicated 33 selected SNPs among 3,762 to 17,110 additional individuals. We identified four novel loci near the EFEMP1, ADAMTSL3 , CNPY2, and GNAS genes that were associated with WC after adjustment for body mass index (BMI); two loci near the NID2 and HLA-DRB5 genes associated with WHR after adjustment for BMI, and three loci near the CEP120, TSC22D2, and SLC22A2 genes associated with WC without adjustment for BMI. Functional enrichment analyses revealed enrichment of corticotropin-releasing hormone signaling, GNRH signaling, and/or CDK5 signaling pathways for those newly-identified loci. Our study provides additional insight on genetic contribution to abdominal obesity. PMID:26785701

  15. Proteomic profiling of human plasma exosomes identifies PPARgamma as an exosome-associated protein.

    Science.gov (United States)

    Looze, Christopher; Yui, David; Leung, Lester; Ingham, Matthew; Kaler, Maryann; Yao, Xianglan; Wu, Wells W; Shen, Rong-Fong; Daniels, Mathew P; Levine, Stewart J

    2009-01-16

    Exosomes are nanovesicles that are released from cells as a mechanism of cell-free intercellular communication. Only a limited number of proteins have been identified from the plasma exosome proteome. Here, we developed a multi-step fractionation scheme incorporating gel exclusion chromatography, rate zonal centrifugation through continuous sucrose gradients, and high-speed centrifugation to purify exosomes from human plasma. Exosome-associated proteins were separated by SDS-PAGE and 66 proteins were identified by LC-MS/MS, which included both cellular and extracellular proteins. Furthermore, we identified and characterized peroxisome proliferator-activated receptor-gamma (PPARgamma), a nuclear receptor that regulates adipocyte differentiation and proliferation, as well as immune and inflammatory cell functions, as a novel component of plasma-derived exosomes. Given the important role of exosomes as intercellular messengers, the discovery of PPARgamma as a component of human plasma exosomes identifies a potential new pathway for the paracrine transfer of nuclear receptors.

  16. Association of Genome-Wide Association Study (GWAS) Identified SNPs and Risk of Breast Cancer in an Indian Population

    Science.gov (United States)

    Nagrani, Rajini; Mhatre, Sharayu; Rajaraman, Preetha; Chatterjee, Nilanjan; Akbari, Mohammad R.; Boffetta, Paolo; Brennan, Paul; Badwe, Rajendra; Gupta, Sudeep; Dikshit, Rajesh

    2017-01-01

    To date, no studies have investigated the association of the GWAS-identified SNPs with BC risk in Indian population. We investigated the association of 30 previously reported and replicated BC susceptibility SNPs in 1,204 cases and 1,212 controls from a hospital based case-control study conducted at the Tata Memorial Hospital, Mumbai. As a measure of total susceptibility burden, the polygenic risk score (PRS) for each individual was defined by the weighted sum of genotypes from 21 independent SNPs with weights derived from previously published estimates of association odds-ratios. Logistic regression models were used to assess risk associated with individual SNPs and overall PRS, and stratified by menopausal and receptor status. A total of 11 SNPs from eight genomic regions (FGFR2, 9q31.2, MAP3K, CCND1, ZM1Z1, RAD51L11, ESR1 and UST) showed statistically significant (p-value ≤ 0.05) evidence of association, either overall or when stratified by menopausal status or hormone receptor status. BC SNPs previously identified in Caucasian population showed evidence of replication in the Indian population mainly with respect to risk of postmenopausal and hormone receptor positive BC. PMID:28098224

  17. Integration of mouse and human genome-wide association data identifies KCNIP4 as an asthma gene.

    Directory of Open Access Journals (Sweden)

    Blanca E Himes

    Full Text Available Asthma is a common chronic respiratory disease characterized by airway hyperresponsiveness (AHR. The genetics of asthma have been widely studied in mouse and human, and homologous genomic regions have been associated with mouse AHR and human asthma-related phenotypes. Our goal was to identify asthma-related genes by integrating AHR associations in mouse with human genome-wide association study (GWAS data. We used Efficient Mixed Model Association (EMMA analysis to conduct a GWAS of baseline AHR measures from males and females of 31 mouse strains. Genes near or containing SNPs with EMMA p-values <0.001 were selected for further study in human GWAS. The results of the previously reported EVE consortium asthma GWAS meta-analysis consisting of 12,958 diverse North American subjects from 9 study centers were used to select a subset of homologous genes with evidence of association with asthma in humans. Following validation attempts in three human asthma GWAS (i.e., Sepracor/LOCCS/LODO/Illumina, GABRIEL, DAG and two human AHR GWAS (i.e., SHARP, DAG, the Kv channel interacting protein 4 (KCNIP4 gene was identified as nominally associated with both asthma and AHR at a gene- and SNP-level. In EVE, the smallest KCNIP4 association was at rs6833065 (P-value 2.9e-04, while the strongest associations for Sepracor/LOCCS/LODO/Illumina, GABRIEL, DAG were 1.5e-03, 1.0e-03, 3.1e-03 at rs7664617, rs4697177, rs4696975, respectively. At a SNP level, the strongest association across all asthma GWAS was at rs4697177 (P-value 1.1e-04. The smallest P-values for association with AHR were 2.3e-03 at rs11947661 in SHARP and 2.1e-03 at rs402802 in DAG. Functional studies are required to validate the potential involvement of KCNIP4 in modulating asthma susceptibility and/or AHR. Our results suggest that a useful approach to identify genes associated with human asthma is to leverage mouse AHR association data.

  18. Genome-wide association study identifies novel loci associated with serum level of vitamin B12 in Chinese men.

    Science.gov (United States)

    Lin, Xiaoling; Lu, Daru; Gao, Yong; Tao, Sha; Yang, Xiaobo; Feng, Junjie; Tan, Aihua; Zhang, Haiying; Hu, Yanling; Qin, Xue; Kim, Seong-Tae; Peng, Tao; Li, Li; Mo, Linjian; Zhang, Shijun; Trent, Jeffrey M; Mo, Zengnan; Zheng, S Lilly; Xu, Jianfeng; Sun, Jielin

    2012-06-01

    Vitamin B12 (VitB12 or cobalamin) is an essential cofactor in several metabolic pathways. Clinically, VitB12 deficiency is associated with pernicious anemia, neurodegenerative disorder, cardiovascular disease and gastrointestinal disease. Although previous genome-wide association studies (GWAS) identified several genes, including FUT2, CUBN, TCN1 and MUT, that may influence VitB12 levels in European populations, common genetic determinants of VitB12 remain largely unknown, especially in Asian populations. Here we performed a GWAS in 1999 healthy Chinese men and replicated the top findings in an independent Chinese sample with 1496 subjects. We identified four novel genomic loci that were significantly associated with serum level of VitB12 at a genome-wide significance level of 5.00 × 10(-8). These four loci were MS4A3 (11q12.1; rs2298585; P= 2.64 × 10(-15)), CLYBL (13q32; rs41281112; P= 9.23 × 10(-10)), FUT6 (19p13.3; rs3760776; P= 3.68 × 10(-13)) and 5q32 region (rs10515552; P= 3.94 × 10(-8)). In addition, we also confirmed the association with the serum level of VitB12 for the previously reported FUT2 gene and identified one novel non-synonymous single-nucleotide polymorphism in FUT2 gene in this Chinese population (19q13.33; rs1047781; P= 3.62 × 10(-36)). The new loci identified offer new insights into the biochemical pathways involved in determining the serum level of VitB12 and provide opportunities to better delineate the role of VitB12 in health and disease.

  19. Identifying novel hypoxia-associated markers of chemoresistance in ovarian cancer.

    LENUS (Irish Health Repository)

    McEvoy, Lynda M

    2015-01-01

    Ovarian cancer is associated with poor long-term survival due to late diagnosis and development of chemoresistance. Tumour hypoxia is associated with many features of tumour aggressiveness including increased cellular proliferation, inhibition of apoptosis, increased invasion and metastasis, and chemoresistance, mostly mediated through hypoxia-inducible factor (HIF)-1α. While HIF-1α has been associated with platinum resistance in a variety of cancers, including ovarian, relatively little is known about the importance of the duration of hypoxia. Similarly, the gene pathways activated in ovarian cancer which cause chemoresistance as a result of hypoxia are poorly understood. This study aimed to firstly investigate the effect of hypoxia duration on resistance to cisplatin in an ovarian cancer chemoresistance cell line model and to identify genes whose expression was associated with hypoxia-induced chemoresistance.

  20. Genome-Wide Association Study in BRCA1 Mutation Carriers Identifies Novel Loci Associated with Breast and Ovarian Cancer Risk

    DEFF Research Database (Denmark)

    Couch, Fergus J; Wang, Xianshu; McGuffog, Lesley;

    2013-01-01

    BRCA1-associated breast and ovarian cancer risks can be modified by common genetic variants. To identify further cancer risk-modifying loci, we performed a multi-stage GWAS of 11,705 BRCA1 carriers (of whom 5,920 were diagnosed with breast and 1,839 were diagnosed with ovarian cancer......), with a further replication in an additional sample of 2,646 BRCA1 carriers. We identified a novel breast cancer risk modifier locus at 1q32 for BRCA1 carriers (rs2290854, P = 2.7 × 10(-8), HR = 1.14, 95% CI: 1.09-1.20). In addition, we identified two novel ovarian cancer risk modifier loci: 17q21.31 (rs17631303......, P = 1.4 × 10(-8), HR = 1.27, 95% CI: 1.17-1.38) and 4q32.3 (rs4691139, P = 3.4 × 10(-8), HR = 1.20, 95% CI: 1.17-1.38). The 4q32.3 locus was not associated with ovarian cancer risk in the general population or BRCA2 carriers, suggesting a BRCA1-specific association. The 17q21.31 locus was also...

  1. Gene expression profiling identifies molecular pathways associated with collagen VI deficiency and provides novel therapeutic targets.

    Directory of Open Access Journals (Sweden)

    Sonia Paco

    Full Text Available Ullrich congenital muscular dystrophy (UCMD, caused by collagen VI deficiency, is a common congenital muscular dystrophy. At present, the role of collagen VI in muscle and the mechanism of disease are not fully understood. To address this we have applied microarrays to analyse the transcriptome of UCMD muscle and compare it to healthy muscle and other muscular dystrophies. We identified 389 genes which are differentially regulated in UCMD relative to controls. In addition, there were 718 genes differentially expressed between UCMD and dystrophin deficient muscle. In contrast, only 29 genes were altered relative to other congenital muscular dystrophies. Changes in gene expression were confirmed by real-time PCR. The set of regulated genes was analysed by Gene Ontology, KEGG pathways and Ingenuity Pathway analysis to reveal the molecular functions and gene networks associated with collagen VI defects. The most significantly regulated pathways were those involved in muscle regeneration, extracellular matrix remodelling and inflammation. We characterised the immune response in UCMD biopsies as being mainly mediated via M2 macrophages and the complement pathway indicating that anti-inflammatory treatment may be beneficial to UCMD as for other dystrophies. We studied the immunolocalisation of ECM components and found that biglycan, a collagen VI interacting proteoglycan, was reduced in the basal lamina of UCMD patients. We propose that biglycan reduction is secondary to collagen VI loss and that it may be contributing towards UCMD pathophysiology. Consequently, strategies aimed at over-expressing biglycan and restore the link between the muscle cell surface and the extracellular matrix should be considered.

  2. Gene Expression Profiling Identifies Molecular Pathways Associated with Collagen VI Deficiency and Provides Novel Therapeutic Targets

    Science.gov (United States)

    Paco, Sonia; Kalko, Susana G.; Jou, Cristina; Rodríguez, María A.; Corbera, Joan; Muntoni, Francesco; Feng, Lucy; Rivas, Eloy; Torner, Ferran; Gualandi, Francesca; Gomez-Foix, Anna M.; Ferrer, Anna; Ortez, Carlos; Nascimento, Andrés; Colomer, Jaume; Jimenez-Mallebrera, Cecilia

    2013-01-01

    Ullrich congenital muscular dystrophy (UCMD), caused by collagen VI deficiency, is a common congenital muscular dystrophy. At present, the role of collagen VI in muscle and the mechanism of disease are not fully understood. To address this we have applied microarrays to analyse the transcriptome of UCMD muscle and compare it to healthy muscle and other muscular dystrophies. We identified 389 genes which are differentially regulated in UCMD relative to controls. In addition, there were 718 genes differentially expressed between UCMD and dystrophin deficient muscle. In contrast, only 29 genes were altered relative to other congenital muscular dystrophies. Changes in gene expression were confirmed by real-time PCR. The set of regulated genes was analysed by Gene Ontology, KEGG pathways and Ingenuity Pathway analysis to reveal the molecular functions and gene networks associated with collagen VI defects. The most significantly regulated pathways were those involved in muscle regeneration, extracellular matrix remodelling and inflammation. We characterised the immune response in UCMD biopsies as being mainly mediated via M2 macrophages and the complement pathway indicating that anti-inflammatory treatment may be beneficial to UCMD as for other dystrophies. We studied the immunolocalisation of ECM components and found that biglycan, a collagen VI interacting proteoglycan, was reduced in the basal lamina of UCMD patients. We propose that biglycan reduction is secondary to collagen VI loss and that it may be contributing towards UCMD pathophysiology. Consequently, strategies aimed at over-expressing biglycan and restore the link between the muscle cell surface and the extracellular matrix should be considered. PMID:24223098

  3. Epigenome-wide association study identifies TXNIP gene associated with type 2 diabetes mellitus and sustained hyperglycemia.

    Science.gov (United States)

    Soriano-Tárraga, Carolina; Jiménez-Conde, Jordi; Giralt-Steinhauer, Eva; Mola-Caminal, Marina; Vivanco-Hidalgo, Rosa M; Ois, Angel; Rodríguez-Campello, Ana; Cuadrado-Godia, Elisa; Sayols-Baixeras, Sergi; Elosua, Roberto; Roquer, Jaume

    2016-02-01

    Type 2 diabetes mellitus (DM) is an established risk factor for a wide range of vascular diseases, including ischemic stroke (IS). Glycated hemoglobin A1c (HbA1c), a marker for average blood glucose levels over the previous 12 weeks, is used as a measure of glycemic control and also as a diagnostic criterion for diabetes (HbA1c levels ≥ 6.5%). Epigenetic mechanisms, such as DNA methylation, may be associated with aging processes and with modulation of the risk of various pathologies, such as DM. Specifically, DNA methylation could be one of the mechanisms mediating the relation between DM and environmental exposures. Our goal was to identify new CpG methylation sites associated with DM. We performed a genome-wide methylation study in whole-blood DNA from an IS patient cohorts. Illumina HumanMethylation450 BeadChip array was used to measure DNA methylation in CpG sites. All statistical analyses were adjusted for sex, age, hyperlipidemia, body mass index (BMI), smoking habit and cell count. Findings were replicated in two independent cohorts, an IS cohort and a population-based cohort, using the same array. In the discovery phase (N = 355), we identified a CpG site, cg19693031 (located in the TXNIP gene) that was associated with DM (P = 1.17 × 10(-12)); this CpG was replicated in two independent cohorts (N = 167 and N = 645). Methylation of TXNIP was inversely and intensely associated with HbA1c levels (P = 7.3 × 10(-16)), specifically related to diabetic patients with poor control of glucose levels. We identified an association between the TXNIP gene and DM through epigenetic mechanisms, related to sustained hyperglycemia levels (HbA1c ≥ 7%).

  4. A genome-wide association study identifies potential susceptibility loci for Hirschsprung disease.

    Directory of Open Access Journals (Sweden)

    Jeong-Hyun Kim

    Full Text Available Hirschsprung disease (HSCR is a congenital and heterogeneous disorder characterized by the absence of intramural nervous plexuses along variable lengths of the hindgut. Although RET is a well-established risk factor, a recent genome-wide association study (GWAS of HSCR has identified NRG1 as an additional susceptibility locus. To discover additional risk loci, we performed a GWAS of 123 sporadic HSCR patients and 432 unaffected controls using a large-scale platform with coverage of over 1 million polymorphic markers. The result was that our study replicated the findings of RET-CSGALNACT2-RASGEF1A genomic region (rawP = 5.69×10(-19 before a Bonferroni correction; corrP = 4.31×10(-13 after a Bonferroni correction and NRG1 as susceptibility loci. In addition, this study identified SLC6A20 (adjP = 2.71×10(-6, RORA (adjP = 1.26×10(-5, and ABCC9 (adjP = 1.86×10(-5 as new potential susceptibility loci under adjusting the already known loci on the RET-CSGALNACT2-RASGEF1A and NRG1 regions, although none of the SNPs in these genes passed the Bonferroni correction. In further subgroup analysis, the RET-CSGALNACT2-RASGEF1A genomic region was observed to have different significance levels among subgroups: short-segment (S-HSCR, corrP = 1.71×10(-5, long-segment (L-HSCR, corrP = 6.66×10(-4, and total colonic aganglionosis (TCA, corrP>0.05. This differential pattern in the significance level suggests that other genomic loci or mechanisms may affect the length of aganglionosis in HSCR subgroups during enteric nervous system (ENS development. Although functional evaluations are needed, our findings might facilitate improved understanding of the mechanisms of HSCR pathogenesis.

  5. Characterization of genome-wide association-identified variants for atrial fibrillation in African Americans.

    Directory of Open Access Journals (Sweden)

    Jessica T Delaney

    Full Text Available BACKGROUND: Despite a greater burden of risk factors, atrial fibrillation (AF is less common among African Americans than European-descent populations. Genome-wide association studies (GWAS for AF in European-descent populations have identified three predominant genomic regions associated with increased risk (1q21, 4q25, and 16q22. The contribution of these loci to AF risk in African American is unknown. METHODOLOGY/PRINCIPAL FINDINGS: We studied 73 African Americans with AF from the Vanderbilt-Meharry AF registry and 71 African American controls, with no history of AF including after cardiac surgery. Tests of association were performed for 148 SNPs across the three regions associated with AF, and 22 SNPs were significantly associated with AF (P<0.05. The SNPs with the strongest associations in African Americans were both different from the index SNPs identified in European-descent populations and independent from the index European-descent population SNPs (r(2<0.40 in HapMap CEU: 1q21 rs4845396 (odds ratio [OR] 0.30, 95% confidence interval [CI] 0.13-0.67, P = 0.003, 4q25 rs4631108 (OR 3.43, 95% CI 1.59-7.42, P = 0.002, and 16q22 rs16971547 (OR 8.1, 95% CI 1.46-45.4, P = 0.016. Estimates of European ancestry were similar among cases (23.6% and controls (23.8%. Accordingly, the probability of having two copies of the European derived chromosomes at each region did not differ between cases and controls. CONCLUSIONS/SIGNIFICANCE: Variable European admixture at known AF loci does not explain decreased AF susceptibility in African Americans. These data support the role of 1q21, 4q25, and 16q22 variants in AF risk for African Americans, although the index SNPs differ from those identified in European-descent populations.

  6. Changes in the peripheral blood transcriptome associated with occupational benzene exposure identified by cross-comparison on two microarray platforms

    Energy Technology Data Exchange (ETDEWEB)

    McHale, Cliona M.; Zhang, Luoping; Lan, Qing; Li, Guilan; Hubbard, Alan E.; Forrest, Matthew S.; Vermeulen, Roel; Chen, Jinsong; Shen, Min; Rappaport, Stephen M.; Yin, Songnian; Smith, Martyn T.; Rothman, Nathaniel

    2009-03-01

    Benzene is an established cause of leukemia and a possible cause of lymphoma in humans but the molecular pathways underlying this remain largely undetermined. This study sought to determine if the use of two different microarray platforms could identify robust global gene expression and pathway changes associated with occupational benzene exposure in the peripheral blood mononuclear cell (PBMC) gene expression of a population of shoe-factory workers with well-characterized occupational exposures to benzene. Microarray data was analyzed by a robust t-test using a Quantile Transformation (QT) approach. Differential expression of 2692 genes using the Affymetrix platform and 1828 genes using the Illumina platform was found. While the overall concordance in genes identified as significantly associated with benzene exposure between the two platforms was 26% (475 genes), the most significant genes identified by either array were more likely to be ranked as significant by the other platform (Illumina = 64%, Affymetrix = 58%). Expression ratios were similar among the concordant genes (mean difference in expression ratio = 0.04, standard deviation = 0.17). Four genes (CXCL16, ZNF331, JUN and PF4), which we previously identified by microarray and confirmed by real-time PCR, were identified by both platforms in the current study and were among the top 100 genes. Gene Ontology analysis showed over representation of genes involved in apoptosis among the concordant genes while Ingenuity{reg_sign} Pathway Analysis (IPA) identified pathways related to lipid metabolism. Using a two-platform approach allows for robust changes in the PBMC transcriptome of benzene-exposed individuals to be identified.

  7. International Genome-Wide Association Study Consortium Identifies Novel Loci Associated With Blood Pressure in Children and Adolescents

    Science.gov (United States)

    Parmar, Priyakumari Ganesh; Taal, H. Rob; Timpson, Nicholas J.; Howe, Laura D.; Verwoert, Germaine; Aalto, Ville; Uitterlinden, Andre G.; Briollais, Laurent; Evans, Dave M.; Wright, Margie J.; Newnham, John P.; Whitfield, John B.; Lyytikäinen, Leo-Pekka; Rivadeneira, Fernando; Boomsma, Dorrett I.; Viikari, Jorma; Gillman, Matthew W.