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PMID: 18348202 Published · ppublish English Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Estimation of the multiple testing burden for genomewide association studies of nearly all common variants.

Genetic epidemiology ·Vol. 32 ·No. 4 ·2008-05-00 ·Pages 381-5

Pe'er I, Yelensky R, Altshuler D, Daly MJ

Abstract

Genomewide association studies are an exciting strategy in genetics, recently becoming feasible and harvesting many novel genes linked to multiple phenotypes. Determining the significance of results in the face of testing a genomewide set of multiple hypotheses, most of which are producing noisy, null-distributed association signals, presents a challenge to the wide community of association researchers. Rather than each study engaging in independent evaluation of significance standards, we have undertaken the task of developing such standards for genomewide significance, based on data collected by the International Haplotype Map Consortium. We report an estimated testing burden of a million independent tests genomewide in Europeans, and twice that number in Africans. We further identify the sensitivity of the testing burden to the required significance level, with implications to staged design of association studies.

MeSH Terms
Biometry Blacks/genetics Databases, Genetic Epidemiologic Methods Genetic Techniques/statistics & numerical data Genetic Variation Humans Models, Genetic Polymorphism, Single Nucleotide Whites/genetics
Authors & Affiliations
4 authors, click to expand affiliations / ORCID
Pe'er Itsik
Department of Computer Science, Columbia University, New York, New York, USA.
Yelensky Roman
Altshuler David
Daly Mark J
Article Info
Journal
Genetic epidemiology
Abbr.
Genet Epidemiol
ISSN
0741-0395
Published
2008-05-00
Pages
381-5
Language
English
Region
United States
NLM ID
8411723
Subset
IM
Grants
NIDDK NIH HHS · F32 DK070527 · United States
NCI NIH HHS · 5 U54 CA121852 · United States
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