Transferability of tag SNPs in genetic association studies in multiple populations.

Abstract:

:A general question for linkage disequilibrium-based association studies is how power to detect an association is compromised when tag SNPs are chosen from data in one population sample and then deployed in another sample. Specifically, it is important to know how well tags picked from the HapMap DNA samples capture the variation in other samples. To address this, we collected dense data uniformly across the four HapMap population samples and eleven other population samples. We picked tag SNPs using genotype data we collected in the HapMap samples and then evaluated the effective coverage of these tags in comparison to the entire set of common variants observed in the other samples. We simulated case-control association studies in the non-HapMap samples under a disease model of modest risk, and we observed little loss in power. These results demonstrate that the HapMap DNA samples can be used to select tags for genome-wide association studies in many samples around the world.

journal_name

Nat Genet

journal_title

Nature genetics

authors

de Bakker PI,Burtt NP,Graham RR,Guiducci C,Yelensky R,Drake JA,Bersaglieri T,Penney KL,Butler J,Young S,Onofrio RC,Lyon HN,Stram DO,Haiman CA,Freedman ML,Zhu X,Cooper R,Groop L,Kolonel LN,Henderson BE,Daly MJ,Hi

doi

10.1038/ng1899

subject

Has Abstract

pub_date

2006-11-01 00:00:00

pages

1298-303

issue

11

eissn

1061-4036

issn

1546-1718

pii

ng1899

journal_volume

38

pub_type

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