The next PAGE in understanding complex traits: Design for the analysis of population architecture using genetics and epidemiology (PAGE) study

American Journal of Epidemiology

Volumn 174, Issue 7, 2011, Pages 849-859

  Matise, Tara C ^a   Ambite, Jose Luis ^b   Buyske, Steven ^a   Carlson, Christopher S ^f   Cole, Shelley A ^c   Crawford, Dana C ^d   Haiman, Christopher A ^e   Heiss, Gerardo ^f   Kooperberg, Charles ^g   Marchand, Loic Le ^h   Manolio, Teri A ⁱ   North, Kari E ^f   Peters, Ulrike ^f   Ritchie, Marylyn D ^d   Hindorff, Lucia A ⁱ   Haines, Jonathan L ^d  

^a RUTGERS UNIVERSITY   (United States)

^b UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

^c SOUTHWEST FOUNDATION FOR BIOMEDICAL RESEARCH   (United States)

^d VANDERBILT UNIVERSITY SCHOOL OF MEDICINE   (United States)

^e UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

^f IL   (United States)

^g Fred Hutchinson Cancer Research Center   (United States)

^h UNIVERSITY OF HAWAII CANCER CENTER   (United States)

ⁱ NATIONAL HUMAN GENOME RESEARCH INSTITUTE   (United States)

Author keywords

cardiovascular diseases; cohort studies; genome wide association study; multifactorial inheritance; neoplasms; obesity; population characteristics; reproducibility of results

Indexed keywords

BIOLOGICAL MARKER; DNA; LIPID;

BIOMARKER; BIOTECHNOLOGY; CANCER; CARDIOVASCULAR DISEASE; COHORT ANALYSIS; DATABASE; DESIGN; DIABETES; EPIDEMIOLOGY; ETHNIC GROUP; GENETIC ANALYSIS; GENETIC VARIATION; GENOMICS; GENOTYPE; META-ANALYSIS; OBESITY; PHENOTYPE; PLEIOTROPY; POPULATION STRUCTURE; TUMOR;

AFRICAN AMERICAN; AMERICAN INDIAN; ARTICLE; CARDIOVASCULAR DISEASE; CLINICAL EVALUATION; COHORT ANALYSIS; ENVIRONMENTAL FACTOR; ETHNIC GROUP; GENETIC ANALYSIS; GENETIC ASSOCIATION; GENETIC EPIDEMIOLOGY; GENETIC TRAIT; GENETIC VARIABILITY; GENOME; HEREDITY; HISPANIC; HUMAN; INFLAMMATION; META ANALYSIS (TOPIC); NATIONAL HEALTH ORGANIZATION; NON INSULIN DEPENDENT DIABETES MELLITUS; OBESITY; PHENOTYPE; PLEIOTROPY; POPULATION BASED CASE CONTROL STUDY; POPULATION GENETICS; POPULATION RESEARCH; SAMPLE; SINGLE NUCLEOTIDE POLYMORPHISM; STUDY DESIGN;

EPIDEMIOLOGIC METHODS; EPIDEMIOLOGIC RESEARCH DESIGN; ETHNIC GROUPS; GENETIC ASSOCIATION STUDIES; GENETICS, POPULATION; GENOME-WIDE ASSOCIATION STUDY; HUMANS; INTERINSTITUTIONAL RELATIONS; MULTIFACTORIAL INHERITANCE; NATIONAL HUMAN GENOME RESEARCH INSTITUTE (U.S.); PHENOTYPE; PILOT PROJECTS; RESEARCH DESIGN; RISK FACTORS; UNITED STATES;

EID: 80053206058     PISSN: 00029262     EISSN: 14766256     Source Type: Journal    
DOI: 10.1093/aje/kwr160     Document Type: Article

References (30)

1. Hindorff LA, Sethupathy P, Junkins HA, et al. Potential etiologic and functional implications of genome-wide association loci for human diseases and traits. Proc Natl Acad Sci USA. 2009;106(23):9362-9367.
2. Need AC, Goldstein DB. Next generation disparities in human genomics: concerns and remedies. Trends Genet. 2009;25(11): 489-494.
3. Rosenberg NA, Huang L, Jewett EM, et al. Genome-wide association studies in diverse populations. Nat Rev Genet. 2010;11(5):356-366.
4. Altshuler D, Daly MJ, Lander ES. Genetic mapping in human disease. Science. 2008;322(5903):881-888.
5. Frazer KA, Murray SS, Schork NJ, et al. Human genetic variation and its contribution to complex traits. Nat Rev Genet. 2009;10(4):241-251.
6. McCarthy MI, Hirschhorn JN. Genome-wide association studies: potential next steps on a genetic journey. Hum Mol Genet. 2008;17(R2):R156-R165.
7. National Center for Health Statistics, Centers for Disease Control and Prevention. Plan and Operation of the Third National Health and Nutrition Examination Survey, 1988-94. (Vital and health statistics, series 1, no. 32). Hyattsville, MD: National Center for Health Statistics; 1994.
8. Kolonel LN, Henderson BE, Hankin JH, et al. A multiethnic cohort in Hawaii and Los Angeles: baseline characteristics. Am J Epidemiol. 2000;151(4):346-357. (Pubitemid 30463612)
9. The Women's Health Initiative Study Group. Design of the Women's Health Initiative clinical trial and observational study. Control Clin Trials. 1998;19(1):61-109.
10. The ARIC investigators. The Atherosclerosis Risk in Communities (ARIC) Study: design and objectives. Am J Epidemiol. 1989;129(4):687-702.
11. Hughes GH, Cutter G, Donahue R, et al. Recruitment in the Coronary Artery Disease Risk Development in Young Adults (Cardia) Study. Control Clin Trials. 1987;8(4 suppl): S68-S73.
12. Fried LP, Borhani NO, Enright P, et al. The Cardiovascular Health Study: design and rationale. Ann Epidemiol. 1991;1(3): 263-276.
13. Sorlie PD, Avilés-Santa LM, Wassertheil-Smoller S, et al. Design and implementation of the Hispanic Community Health Study/Study of Latinos. Ann Epidemiol. 2010;20(8):629-41.
14. Lee ET, Welty TK, Fabsitz R, et al. The Strong Heart Study. A study of cardiovascular disease in American Indians: design and methods. Am J Epidemiol. 1990;132(6):1141-1155.
15. North KE, Howard BV, Welty TK, et al. Genetic and environmental contributions to cardiovascular disease risk in American Indians: the Strong Heart Family Study. Am J Epidemiol. 2003;157(4):303-314. (Pubitemid 36193933)
16. Denny JC, Ritchie MD, Basford MA, et al. PheWAS: demonstrating the feasibility of a phenome-wide scan to discover gene-disease associations. Bioinformatics. 2010;26(9): 1205-1210.
17. National Human Genome Research Institute. Epidemiologic Investigation of Putative Causal Genetic Variants-Study Investigators (U01). (Request for Applications (RFA) no. RFA-HG-07-014). Bethesda, MD: National Human Genome Research Institute; 2007. (http://grants.nih.gov/grants/guide/rfa-files/RFA-HG- 07-014.html). (Accessed September 28, 2007).
18. National Human Genome Research Institute. Epidemiologic Investigation of Putative Causal Genetic Variants-Coordinating Center (U01). (Request for Applications (RFA) no. RFAHG-07-015). Bethesda, MD: National Human Genome Research Institute; 2007. (http://grants.nih.gov/grants/guide/rfa-files/RFA-HG- 07-015.html). (Accessed September 28, 2007).
19. Mailman MD, Feolo M, Jin Y, et al. The NCBI dbGaP database of genotypes and phenotypes. Nat Genet. 2007;39(10): 1181-1186. (Pubitemid 47482671)
20. Gauderman WJ. Sample size requirements for association studies of gene-gene interaction. Am J Epidemiol. 2002; 155(5):478-484. (Pubitemid 34174160)
21. Lin DY, Zeng D. Meta-analysis of genome-wide association studies: no efficiency gain in using individual participant data. Genet Epidemiol. 2010;34(1):60-66.
22. Kosoy R, Nassir R, Tian C, et al. Ancestry informative marker sets for determining continental origin and admixture proportions in common populations in America. Hum Mutat. 2009;30(1):69-78.
23. Price AL, Patterson NJ, Plenge RM, et al. Principal components analysis corrects for stratification in genome-wide association studies. Nat Genet. 2006;38(8):904-909. (Pubitemid 44141658)
24. Homer N, Szelinger S, Redman M, et al. Resolving individuals contributing trace amounts of DNA to highly complex mixtures using high-density SNP genotyping microarrays. PLoS Genet. 2008;4(8):e1000167. (doi: 10.1371/journal.pgen. 1000167).
25. Ioannidis JP, Ntzani EE, Trikalinos TA. 'Racial' differences in genetic effects for complex diseases. Nat Genet. 2004; 36(12):1312-1318. (Pubitemid 39577941)
26. Keebler ME, Sanders CL, Surti A, et al. 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. Circ Cardiovasc Genet. 2009;2(3):238-243.
27. Shriner D, Adeyemo A, Gerry NP, et al. Transferability and fine-mapping of genome-wide associated loci for adult height across human populations. PLoS One. 2009;4(12): e8398. (doi: 10.1371/journal.pone.0008398).
28. Kraft P, Wacholder S, Cornelis MC, et al. Beyond odds ratios-communicating disease risk based on genetic profiles. Nat Rev Genet. 2009;10(4):264-269.
29. Zollner S, Pritchard JK. Overcoming the winner's curse: estimating penetrance parameters from case-control data. Am J Hum Genet. 2007;80(4):605-615. (Pubitemid 46564399)
30. Wang K, Baldassano R, Zhang H, et al. Comparative genetic analysis of inflammatory bowel disease and type 1 diabetes implicates multiple loci with opposite effects. Hum Mol Genet. 2010;19(10):2059-2067.