The Use of Phenome-Wide Association Studies (PheWAS) for Exploration of Novel Genotype-Phenotype Relationships and Pleiotropy Discovery

被引:124
作者
Pendergrass, S. A. [1 ]
Brown-Gentry, K. [1 ]
Dudek, S. M. [1 ]
Torstenson, E. S. [1 ]
Ambite, J. L. [2 ]
Avery, C. L. [3 ]
Buyske, S. [4 ,5 ]
Cai, C. [2 ]
Fesinmeyer, M. D. [6 ]
Haiman, C. [7 ]
Heiss, G. [3 ]
Hindorff, L. A. [8 ]
Hsu, C. -N. [2 ]
Jackson, R. D. [9 ]
Kooperberg, C. [6 ]
Le Marchand, L. [10 ]
Lin, Y. [6 ]
Matise, T. C. [5 ]
Moreland, L. [11 ]
Monroe, K. [7 ]
Reiner, A. P. [12 ]
Wallace, R. [13 ,14 ]
Wilkens, L. R. [10 ]
Crawford, D. C. [1 ,15 ]
Ritchie, M. D. [1 ,15 ]
机构
[1] Vanderbilt Univ, Ctr Human Genet Res, Nashville, TN 37232 USA
[2] Univ So Calif, Inst Informat Sci, Marina Del Rey, CA 90292 USA
[3] Univ N Carolina, Dept Epidemiol, Chapel Hill, NC USA
[4] Rutgers State Univ, Dept Stat, Piscataway, NJ USA
[5] Rutgers State Univ, Dept Genet, Piscataway, NJ USA
[6] Fred Hutchinson Canc Res Ctr, Div Publ Hlth Sci, Seattle, WA 98104 USA
[7] Univ So Calif, Kenneth Norris Jr Comprehens Canc Ctr, Keck Sch Med, Dept Prevent Med, Los Angeles, CA 90033 USA
[8] NHGRI, NIH, Bethesda, MD 20892 USA
[9] Ohio State Univ, Columbus, OH 43210 USA
[10] Univ Hawaii, Program Epidemiol, Ctr Canc, Honolulu, HI 96822 USA
[11] Univ Pittsburgh, Pittsburgh, PA USA
[12] Univ Washington, Dept Epidemiol, Seattle, WA 98195 USA
[13] Univ Iowa, Dept Epidemiol, Iowa City, IA USA
[14] Univ Iowa, Dept Internal Med, Iowa City, IA 52242 USA
[15] Vanderbilt Univ, Dept Mol Physiol & Biophys, Nashville, TN 37232 USA
关键词
genetic epidemiology; high throughput; phenomics; genetics; PheWAS; DISEASE; DESIGN; RISK; VARIANT; SCAN;
D O I
10.1002/gepi.20589
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
The field of phenomics has been investigating network structure among large arrays of phenotypes, and genome-wide association studies (GWAS) have been used to investigate the relationship between genetic variation and single diseases/outcomes. A novel approach has emerged combining both the exploration of phenotypic structure and genotypic variation, known as the phenome-wide association study (PheWAS). The Population Architecture using Genomics and Epidemiology (PAGE) network is a National Human Genome Research Institute (NHGRI)-supported collaboration of four groups accessing eight extensively characterized epidemiologic studies. The primary focus of PAGE is deep characterization of well-replicated GWAS variants and their relationships to various phenotypes and traits in diverse epidemiologic studies that include European Americans, African Americans, Mexican Americans/Hispanics, Asians/Pacific Islanders, and Native Americans. The rich phenotypic resources of PAGE studies provide a unique opportunity for PheWAS as each genotyped variant can be tested for an association with the wide array of phenotypic measurements available within the studies of PAGE, including prevalent and incident status for multiple common clinical conditions and risk factors, as well as clinical parameters and intermediate biomarkers. The results of PheWAS can be used to discover novel relationships between SNPs, phenotypes, and networks of interrelated phenotypes; identify pleiotropy; provide novel mechanistic insights; and foster hypothesis generation. The PAGE network has developed infrastructure to support and perform PheWAS in a high-throughput manner. As implementing the PheWAS approach has presented several challenges, the infrastructure and methodology, as well as insights gained in this project, are presented herein to benefit the larger scientific community. Genet. Epidemiol. 35: 410-422, 2011. (C) 2011 Wiley-Liss, Inc.
引用
收藏
页码:410 / 422
页数:13
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