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PMID: 12831322 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, P.H.S. Review

Human population structure and genetic association studies.

Pharmacogenomics ·Vol. 4 ·No. 4 ·2003-07-00 ·Pages 431-41

Ziv E, Burchard EG

Abstract

Population substructure and recent admixture may confound the results of genetic association studies in unrelated individuals, leading to a potential excess of both false positive and false negative results. The possibility of false associations depends on the population sampled, the trait being studied and the marker being tested. Although family based tests of association avoid the possibility of confounding due to population substructure and admixture, association studies in unrelated individuals may be preferred in many situations due to their feasibility. Unlinked genetic markers may be used to detect confounding in association studies. In addition, the information from unlinked markers may be used to adjust genetic associations.

MeSH Terms
Genetic Linkage/genetics Genetics, Population/methods,statistics & numerical data Genotype Humans
Authors & Affiliations
2 authors, click to expand affiliations / ORCID
Ziv Elad
Division of General Internal Medicine and Division of Pulmonary Medicine, Department of Medicine, University of California, San Francisco, CA 94115, USA. eziv@itsa.ucsf.edu
Burchard Esteban González
Article Info
Journal
Pharmacogenomics
Abbr.
Pharmacogenomics
ISSN
1462-2416
Published
2003-07-00
Pages
431-41
Language
English
Region
England
NLM ID
100897350
Subset
IM
Grants
NCI NIH HHS · K22 CA109351 · United States
NIAMS NIH HHS · K12 AR47659 · United States
NHLBI NIH HHS · K23 HL04464 · United States
NIA NIH HHS · R01 AG18717 · United States
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