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PMID: 15052270 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S. Research Support, U.S. Gov't, P.H.S.

Assessing the impact of population stratification on genetic association studies.

Nature genetics ·Vol. 36 ·No. 4 ·2004-04-00 ·Pages 388-93

Freedman ML, Reich D, Penney KL, McDonald GJ, Mignault AA, Patterson N, Gabriel SB, Topol EJ, Smoller JW, Pato CN, Pato MT, Petryshen TL, Kolonel LN, Lander ES, Sklar P, Henderson B, Hirschhorn JN, Altshuler D

Abstract

Population stratification refers to differences in allele frequencies between cases and controls due to systematic differences in ancestry rather than association of genes with disease. It has been proposed that false positive associations due to stratification can be controlled by genotyping a few dozen unlinked genetic markers. To assess stratification empirically, we analyzed data from 11 case-control and case-cohort association studies. We did not detect statistically significant evidence for stratification but did observe that assessments based on a few dozen markers lack power to rule out moderate levels of stratification that could cause false positive associations in studies designed to detect modest genetic risk factors. After increasing the number of markers and samples in a case-cohort study (the design most immune to stratification), we found that stratification was in fact present. Our results suggest that modest amounts of stratification can exist even in well designed studies.

MeSH Terms
Case-Control Studies Cohort Studies Genetics, Population Humans Mutation, Missense Polymorphism, Single Nucleotide
Authors & Affiliations
18 authors, click to expand affiliations / ORCID
Freedman Matthew L
Department of Medicine and Molecular Biology, Massachusetts General Hospital, Boston, and Program in Medical and Population Genetics, Broad Institute, Cambridge, USA.
Reich David
Penney Kathryn L
McDonald Gavin J
Mignault Andre A
Patterson Nick
Gabriel Stacey B
Topol Eric J
Smoller Jordan W
Pato Carlos N
Pato Michele T
Petryshen Tracey L
Kolonel Laurence N
Lander Eric S
Sklar Pamela
Henderson Brian
Hirschhorn Joel N
Altshuler David
Article Info
Journal
Nature genetics
Abbr.
Nat Genet
ISSN
1061-4036
Published
2004-04-00
Epub
2004-00-28
Pages
388-93
Language
English
Region
United States
NLM ID
9216904
Subset
IM
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