Department of Epidemiology and Biostatistics, Institute for Computational Biology, Case Western Reserve University, Wolstein Research Building, 2103 Cornell Road, Cleveland, Ohio 44106, USA.
Department of Human Genetics, University of Michigan, Ann Arbor, Michigan 48109, USA.
Nat Rev Genet. 2016 Mar;17(3):129-45. doi: 10.1038/nrg.2015.36. Epub 2016 Feb 15.
Advances in genotyping technology have, over the past decade, enabled the focused search for common genetic variation associated with human diseases and traits. With the recently increased availability of detailed phenotypic data from electronic health records and epidemiological studies, the impact of one or more genetic variants on the phenome is starting to be characterized both in clinical and population-based settings using phenome-wide association studies (PheWAS). These studies reveal a number of challenges that will need to be overcome to unlock the full potential of PheWAS for the characterization of the complex human genome-phenome relationship.
在过去的十年中,基因分型技术的进步使得人们能够专注于寻找与人类疾病和特征相关的常见遗传变异。随着电子健康记录和流行病学研究中详细表型数据的可用性最近增加,使用表型全基因组关联研究(PheWAS)开始在临床和基于人群的环境中对一个或多个遗传变异对表型的影响进行特征描述。这些研究揭示了一些挑战,需要克服这些挑战才能充分发挥 PheWAS 用于描述复杂的人类基因组-表型关系的潜力。