TY - JOUR
T1 - Genome-wide association studies, field synopses, and the development of the knowledge base on genetic variation and human diseases
AU - Khoury, Muin J.
AU - Bertram, Lars
AU - Boffetta, Paolo
AU - Butterworth, Adam S.
AU - Chanock, Stephen J.
AU - Dolan, Siobhan M.
AU - Fortier, Isabel
AU - Garcia-Closas, Montserrat
AU - Gwinn, Marta
AU - Higgins, Julian P.T.
AU - Janssens, A. Cecile J.W.
AU - Ostell, James
AU - Owen, Ryan P.
AU - Pagon, Roberta A.
AU - Rebbeck, Timothy R.
AU - Rothman, Nathaniel
AU - Bernstein, Jonine L.
AU - Burton, Paul R.
AU - Campbell, Harry
AU - Chockalingam, Anand
AU - Furberg, Helena
AU - Little, Julian
AU - O'Brien, Thomas R.
AU - Seminara, Daniela
AU - Vineis, Paolo
AU - Winn, Deborah M.
AU - Yu, Wei
AU - Ioannidis, John P.A.
PY - 2009/8
Y1 - 2009/8
N2 - Genome-wide association studies (GWAS) have led to a rapid increase in available data on common genetic variants and phenotypes and numerous discoveries of new loci associated with susceptibility to common complex diseases. Integrating the evidence from GWAS and candidate gene studies depends on concerted efforts in data production, online publication, database development, and continuously updated data synthesis. Here the authors summarize current experience and challenges on these fronts, which were discussed at a 2008 multidisciplinary workshop sponsored by the Human Genome Epidemiology Network. Comprehensive field synopses that integrate many reported gene-disease associations have been systematically developed for several fields, including Alzheimer's disease, schizophrenia, bladder cancer, coronary heart disease, preterm birth, and DNA repair genes in various cancers. The authors summarize insights from these field synopses and discuss remaining unresolved issues - especially in the light of evidence from GWAS, for which they summarize empirical P-value and effect-size data on 223 discovered associations for binary outcomes (142 with P<10 -7). They also present a vision of collaboration that builds reliable cumulative evidence for genetic associations with common complex diseases and a transparent, distributed, authoritative knowledge base on genetic variation and human health. As a next step in the evolution of Human Genome Epidemiology reviews, the authors invite investigators to submit field synopses for possible publication in the American Journal of Epidemiology. American Journal of Epidemiology Published by Oxford University Press 2009.2009This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons. org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
AB - Genome-wide association studies (GWAS) have led to a rapid increase in available data on common genetic variants and phenotypes and numerous discoveries of new loci associated with susceptibility to common complex diseases. Integrating the evidence from GWAS and candidate gene studies depends on concerted efforts in data production, online publication, database development, and continuously updated data synthesis. Here the authors summarize current experience and challenges on these fronts, which were discussed at a 2008 multidisciplinary workshop sponsored by the Human Genome Epidemiology Network. Comprehensive field synopses that integrate many reported gene-disease associations have been systematically developed for several fields, including Alzheimer's disease, schizophrenia, bladder cancer, coronary heart disease, preterm birth, and DNA repair genes in various cancers. The authors summarize insights from these field synopses and discuss remaining unresolved issues - especially in the light of evidence from GWAS, for which they summarize empirical P-value and effect-size data on 223 discovered associations for binary outcomes (142 with P<10 -7). They also present a vision of collaboration that builds reliable cumulative evidence for genetic associations with common complex diseases and a transparent, distributed, authoritative knowledge base on genetic variation and human health. As a next step in the evolution of Human Genome Epidemiology reviews, the authors invite investigators to submit field synopses for possible publication in the American Journal of Epidemiology. American Journal of Epidemiology Published by Oxford University Press 2009.2009This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons. org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
KW - Association
KW - Database
KW - Encyclopedias
KW - Epidemiologic methods
KW - Genome, human
KW - Genome-wide association study
KW - Genomics
KW - Meta-analysis
UR - http://www.scopus.com/inward/record.url?scp=67749106283&partnerID=8YFLogxK
U2 - 10.1093/aje/kwp119
DO - 10.1093/aje/kwp119
M3 - Review article
C2 - 19498075
AN - SCOPUS:67749106283
SN - 0002-9262
VL - 170
SP - 269
EP - 279
JO - American Journal of Epidemiology
JF - American Journal of Epidemiology
IS - 3
ER -