Genomewide association studies: history, rationale, and prospects for psychiatric disorders.
Genomewide association studies: history, rationale, and prospects for psychiatric disorders.
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DOI:
10.1176/appi.ajp.2008.08091354
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发表时间:
2009-05
期刊:
影响因子:
--
通讯作者:
Sullivan PF
中科院分区:
文献类型:
--
作者:
Psychiatric GWAS Consortium Coordinating Committee;Cichon S;Craddock N;Daly M;Faraone SV;Gejman PV;Kelsoe J;Lehner T;Levinson DF;Moran A;Sklar P;Sullivan PF
We review the history and empirical basis of genomewide association studies (GWAS), the rationale for GWAS of psychiatric disorders, results to date, limitations, and plans for GWAS meta-analyses. Literature review, power analysis, discussion of issues and description of planned studies. Most of the genomic DNA sequence differences between any two people are common (frequency > 5%) single nucleotide polymorphisms (SNPs). Because of localized patterns of correlation (linkage disequilibrium), 500,000-1,000,000 of these SNPs can test the hypothesis that one or more common variants explain part of the genetic risk for a disease. GWAS technologies can also detect some of the copy number variants (CNVs; deletions and duplications) in the genome. Systematic study of rare variants will require large-scale resequencing studies. GWAS methods have detected a remarkable number of robust genetic associations for dozens of common diseases and traits, leading to new pathophysiological hypotheses, although only small proportions of genetic variance have been explained so far, and therapeutic applications will require substantial further effort. Study design issues, power and limitations are discussed. For psychiatric disorders, there are initial significant findings for common SNPs and rare CNVs. Many other studies are in progress. GWAS of large samples have detected associations of common SNPs and of rare CNVs to psychiatric disorders. More findings are likely -- larger GWAS samples detect larger numbers of common susceptibility variants (with smaller effects). The Psychiatric GWAS Consortium (of 110 researchers from 54 institutions) is carrying out GWAS meta-analyses for schizophrenia, bipolar disorder, major depressive disorder, autism and attention deficit hyperactivity disorder. Based on results for other diseases, larger samples will be required. The contribution of GWAS will depend on the true genetic architecture of each disorder.
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影响因子:
64.8
作者:
Frazer, Kelly A.;Ballinger, Dennis G.;Cox, David R.;Hinds, David A.;Stuve, Laura L.;Gibbs, Richard A.;Belmont, John W.;Boudreau, Andrew;Hardenbol, Paul;Leal, Suzanne M.;Pasternak, Shiran;Wheeler, David A.;Willis, Thomas D.;Yu, Fuli;Yang, Huanming;Zeng, Changqing;Gao, Yang;Hu, Haoran;Hu, Weitao;Li, Chaohua;Lin, Wei;Liu, Siqi;Pan, Hao;Tang, Xiaoli;Wang, Jian;Wang, Wei;Yu, Jun;Zhang, Bo;Zhang, Qingrun;Zhao, Hongbin;Zhao, Hui;Zhou, Jun;Gabriel, Stacey B.;Barry, Rachel;Blumenstiel, Brendan;Camargo, Amy;Defelice, Matthew;Faggart, Maura;Goyette, Mary;Gupta, Supriya;Moore, Jamie;Nguyen, Huy;Onofrio, Robert C.;Parkin, Melissa;Roy, Jessica;Stahl, Erich;Winchester, Ellen;Ziaugra, Liuda;Altshuler, David;Shen, Yan;Yao, Zhijian;Huang, Wei;Chu, Xun;He, Yungang;Jin, Li;Liu, Yangfan;Shen, Yayun;Sun, Weiwei;Wang, Haifeng;Wang, Yi;Wang, Ying;Xiong, Xiaoyan;Xu, Liang;Waye, Mary M. Y.;Tsui, Stephen K. W.;Wong, J. Tze-Fei;Galver, Luana M.;Fan, Jian-Bing;Gunderson, Kevin;Murray, Sarah S.;Oliphant, Arnold R.;Chee, Mark S.;Montpetit, Alexandre;Chagnon, Fanny;Ferretti, Vincent;Leboeuf, Martin;Olivier, Jean-Franccois;Phillips, Michael S.;Roumy, Stephanie;Sallee, Clementine;Verner, Andrei;Hudson, Thomas J.;Kwok, Pui-Yan;Cai, Dongmei;Koboldt, Daniel C.;Miller, Raymond D.;Pawlikowska, Ludmila;Taillon-Miller, Patricia;Xiao, Ming;Tsui, Lap-Chee;Mak, William;Song, You Qiang;Tam, Paul K. H.;Nakamura, Yusuke;Kawaguchi, Takahisa;Kitamoto, Takuya;Morizono, Takashi;Nagashima, Atsushi;Ohnishi, Yozo;Sekine, Akihiro;Tanaka, Toshihiro;Tsunoda, Tatsuhiko;Deloukas, Panos;Bird, Christine P.;Delgado, Marcos;Dermitzakis, Emmanouil T.;Gwilliam, Rhian;Hunt, Sarah;Morrison, Jonathan;Powell, Don;Stranger, Barbara E.;Whittaker, Pamela;Bentley, David R.;Daly, Mark J.;de Bakker, Paul I. W.;Barrett, Jeff;Chretien, Yves R.;Maller, Julian;McCarroll, Steve;Patterson, Nick;Pe'er, Itsik;Price, Alkes;Purcell, Shaun;Richter, Daniel J.;Sabeti, Pardis;Saxena, Richa;Schaffner, Stephen F.;Sham, Pak C.;Varilly, Patrick;Altshuler, David;Stein, Lincoln D.;Krishnan, Lalitha;Smith, Albert Vernon;Tello-Ruiz, Marcela K.;Thorisson, Gudmundur A.;Chakravarti, Aravinda;Chen, Peter E.;Cutler, David J.;Kashuk, Carl S.;Lin, Shin;Abecasis, Goncalo R.;Guan, Weihua;Li, Yun;Munro, Heather M.;Qin, Zhaohui Steve;Thomas, Daryl J.;McVean, Gilean;Auton, Adam;Bottolo, Leonardo;Cardin, Niall;Eyheramendy, Susana;Freeman, Colin;Marchini, Jonathan;Myers, Simon;Spencer, Chris;Stephens, Matthew;Donnelly, Peter;Cardon, Lon R.;Clarke, Geraldine;Evans, David M.;Morris, Andrew P.;Weir, Bruce S.;Tsunoda, Tatsuhiko;Johnson, Todd A.;Mullikin, James C.;Sherry, Stephen T.;Feolo, Michael;Skol, Andrew
通讯作者:
Skol, Andrew
影响因子:
7.7
作者:
Freathy RM;Timpson NJ;Lawlor DA;Pouta A;Ben-Shlomo Y;Ruokonen A;Ebrahim S;Shields B;Zeggini E;Weedon MN;Lindgren CM;Lango H;Melzer D;Ferrucci L;Paolisso G;Neville MJ;Karpe F;Palmer CN;Morris AD;Elliott P;Jarvelin MR;Smith GD;McCarthy MI;Hattersley AT;Frayling TM
通讯作者:
Frayling TM
影响因子:
56.9
作者:
Duerr, Richard H.;Taylor, Kent D.;Cho, Judy H.
通讯作者:
Cho, Judy H.
影响因子:
30.8
作者:
Allen, Nicole C.;Bagade, Sachin;Bertram, Lars
通讯作者:
Bertram, Lars
影响因子:
56.9
作者:
Frayling, Timothy M.;Timpson, Nicholas J.;McCarthy, Mark I.
通讯作者:
McCarthy, Mark I.