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Genome-Wide Association Studies Field Synopses and the Development of the Knowledge Base on Genetic Variation and Human Diseases

机译:全基因组关联研究田间概况和遗传变异与人类疾病知识库的发展

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摘要

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.
机译:全基因组关联研究(GWAS)导致有关常见遗传变异和表型的可用数据迅速增加,并且发现了许多与常见复杂疾病易感性有关的新基因座。整合来自GWAS和候选基因研究的证据取决于在数据生成,在线发布,数据库开发以及不断更新的数据合成方面的共同努力。在这里,作者总结了这些方面的当前经验和挑战,这些变化在人类基因组流行病学网络赞助的2008年多学科研讨会上进行了讨论。已经针对多个领域系统地开发了整合了许多报道的基因-疾病关联的综合领域概要,包括阿尔茨海默氏病,精神分裂症,膀胱癌,冠心病,早产和各种癌症中的DNA修复基因。作者总结了来自这些领域概要的见解,并讨论了尚待解决的问题,尤其是根据GWAS的证据,他们总结了关于223个二元结果的已发现关联的经验P值和效应大小数据(142,P <10 < sup> −7 )。他们还提出了合作的愿景,可以为常见的复杂疾病的遗传关联建立可靠的累积证据,并提供有关遗传变异和人类健康的透明,分布式,权威性知识库。作为人类基因组流行病学评论发展的下一步,作者邀请研究人员提交现场概要,以便可能在《美国流行病学杂志》上发表。

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