The Next PAGE in Understanding Complex Traits: Design for the Analysis of Population Architecture Using Genetics and Epidemiology (PAGE) Study

被引:126
作者
Matise, Tara C. [1 ]
Ambite, Jose Luis [2 ]
Buyske, Steven [1 ,3 ]
Carlson, Christopher S. [9 ]
Cole, Shelley A. [4 ]
Crawford, Dana C. [5 ,6 ]
Haiman, Christopher A. [7 ]
Heiss, Gerardo [8 ]
Kooperberg, Charles [9 ]
Le Marchand, Loic [10 ]
Manolio, Teri A. [11 ]
North, Kari E. [8 ]
Peters, Ulrike [9 ]
Ritchie, Marylyn D. [5 ,6 ]
Hindorff, Lucia A. [11 ]
Haines, Jonathan L. [5 ,6 ]
机构
[1] Rutgers State Univ, Dept Genet, Sch Arts & Sci, Piscataway, NJ 08854 USA
[2] Univ So Calif, Inst Informat Sci, Marina Del Rey, CA 90292 USA
[3] Rutgers State Univ, Dept Stat, Sch Arts & Sci, Piscataway, NJ 08854 USA
[4] SW Fdn Biomed Res, Dept Genet, San Antonio, TX USA
[5] Vanderbilt Univ, Dept Mol Physiol & Biophys, Nashville, TN 37232 USA
[6] Vanderbilt Univ, Ctr Human Genet Res, Nashville, TN USA
[7] Univ So Calif, Keck Sch Med, Dept Prevent Med, Los Angeles, CA 90033 USA
[8] Univ N Carolina, Dept Epidemiol, Gillings Sch Global Publ Hlth, Chapel Hill, NC USA
[9] Fred Hutchinson Canc Res Ctr, Div Publ Hlth Sci, Seattle, WA 98104 USA
[10] Univ Hawaii, Canc Res Ctr Hawaii, Program Epidemiol, Honolulu, HI 96813 USA
[11] NHGRI, Off Populat Genom, NIH, Bethesda, MD 20892 USA
基金
美国国家卫生研究院;
关键词
cardiovascular diseases; cohort studies; genome-wide association study; multifactorial inheritance; neoplasms; obesity; population characteristics; reproducibility of results; GENOME-WIDE ASSOCIATION; DISEASE RISK; CARDIOVASCULAR-DISEASE; AMERICAN-INDIANS; LOCI; HEALTH;
D O I
10.1093/aje/kwr160
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Genetic studies have identified thousands of variants associated with complex traits. However, most association studies are limited to populations of European descent and a single phenotype. The Population Architecture using Genomics and Epidemiology (PAGE) Study was initiated in 2008 by the National Human Genome Research Institute to investigate the epidemiologic architecture of well-replicated genetic variants associated with complex diseases in several large, ethnically diverse population-based studies. Combining DNA samples and hundreds of phenotypes from multiple cohorts, PAGE is well-suited to address generalization of associations and variability of effects in diverse populations; identify genetic and environmental modifiers; evaluate disease subtypes, intermediate phenotypes, and biomarkers; and investigate associations with novel phenotypes. PAGE investigators harmonize phenotypes across studies where possible and perform coordinated cohort-specific analyses and meta-analyses. PAGE researchers are genotyping thousands of genetic variants in up to 121,000 DNA samples from African-American, white, Hispanic/Latino, Asian/Pacific Islander, and American Indian participants. Initial analyses will focus on single nucleotide polymorphisms (SNPs) associated with obesity, lipids, cardiovascular disease, type 2 diabetes, inflammation, various cancers, and related biomarkers. PAGE SNPs are also assessed for pleiotropy using the "phenome-wide association study" approach, testing each SNP for associations with hundreds of phenotypes. PAGE data will be deposited into the National Center for Biotechnology Information's Database of Genotypes and Phenotypes and made available via a custom browser.
引用
收藏
页码:849 / 859
页数:11
相关论文
共 30 条
[11]   Association of Blood Lipids With Common DNA Sequence Variants at 19 Genetic Loci in the Multiethnic United States National Health and Nutrition Examination Survey III [J].
Keebler, Mary E. ;
Sanders, Christopher L. ;
Surti, Aarti ;
Guiducci, Candace ;
Burtt, Noel P. ;
Kathiresan, Sekar .
CIRCULATION-CARDIOVASCULAR GENETICS, 2009, 2 (03) :238-243
[12]  
Kolonel LN, 2000, AM J EPIDEMIOL, V151, P346, DOI 10.1093/oxfordjournals.aje.a010213
[13]   Ancestry Informative Marker Sets for Determining Continental Origin and Admixture Proportions in Common Populations in America [J].
Kosoy, Roman ;
Nassir, Rami ;
Tian, Chao ;
White, Phoebe A. ;
Butler, Lesley M. ;
Silva, Gabriel ;
Kittles, Rick ;
Alarcon-Riquelme, Marta E. ;
Gregersen, Peter K. ;
Belmont, John W. ;
De La Vega, Francisco M. ;
Seldin, Michael F. .
HUMAN MUTATION, 2009, 30 (01) :69-78
[14]   OPINION Beyond odds - ratios communicating disease risk based on genetic profiles [J].
Kraft, Peter ;
Wacholder, Sholom ;
Cornelis, Marilyn C. ;
Hu, Frank B. ;
Hayes, Richard B. ;
Thomas, Gilles ;
Hoover, Robert ;
Hunter, David J. ;
Chanock, Stephen .
NATURE REVIEWS GENETICS, 2009, 10 (04) :264-269
[15]   THE STRONG HEART-STUDY - A STUDY OF CARDIOVASCULAR-DISEASE IN AMERICAN-INDIANS - DESIGN AND METHODS [J].
LEE, ET ;
WELTY, TK ;
FABSITZ, R ;
COWAN, LD ;
LE, NA ;
OOPIK, AJ ;
CUCCHIARA, AJ ;
SAVAGE, PJ ;
HOWARD, BV .
AMERICAN JOURNAL OF EPIDEMIOLOGY, 1990, 132 (06) :1141-1155
[16]   Meta-Analysis of Genome-Wide Association Studies: No Efficiency Gain in Using Individual Participant Data [J].
Lin, D. Y. ;
Zeng, D. .
GENETIC EPIDEMIOLOGY, 2010, 34 (01) :60-66
[17]   The NCBI dbGaP database of genotypes and phenotypes [J].
Mailman, Matthew D. ;
Feolo, Michael ;
Jin, Yumi ;
Kimura, Masato ;
Tryka, Kimberly ;
Bagoutdinov, Rinat ;
Hao, Luning ;
Kiang, Anne ;
Paschall, Justin ;
Phan, Lon ;
Popova, Natalia ;
Pretel, Stephanie ;
Ziyabari, Lora ;
Lee, Moira ;
Shao, Yu ;
Wang, Zhen Y. ;
Sirotkin, Karl ;
Ward, Minghong ;
Kholodov, Michael ;
Zbicz, Kerry ;
Beck, Jeffrey ;
Kimelman, Michael ;
Shevelev, Sergey ;
Preuss, Don ;
Yaschenko, Eugene ;
Graeff, Alan ;
Ostell, James ;
Sherry, Stephen T. .
NATURE GENETICS, 2007, 39 (10) :1181-1186
[18]   Genome-wide association studies: potential next steps on a genetic journey [J].
McCarthy, Mark I. ;
Hirschhorn, Joel N. .
HUMAN MOLECULAR GENETICS, 2008, 17 :R156-R165
[19]  
*NAT CTR HLTH STAT, 1994, VIT HLTH STAT, V1
[20]  
*NAT HUM GEN RES I, 2007, RFAHG07015 NAT HUM G