Accounting for ancestry: Population substructure and genome-wide association studies

Chao Tian, Peter K. Gregersen, Michael F Seldin

Research output: Contribution to journalArticlepeer-review

244 Scopus citations

Abstract

Accounting for the genetic substructure of human populations has become a major practical issue for studying complex genetic disorders. Allele frequency differences among ethnic groups and subgroups and admixture between different ethnic groups can result in frequent false-positive results or reduced power in genetic studies. Here, we review the problems and progress in defining population differences and the application of statistical methods to improve association studies. It is now possible to take into account the confounding effects of population stratification using thousands of unselected genome-wide single-nucleotide polymorphisms or, alternatively, selected panels of ancestry informative markers. These methods do not require any demographic information and therefore can be widely applied to genotypes available from multiple sources. We further suggest that it will be important to explore results in homogeneous population subsets as we seek to define the extent to which genomic variation influences complex phenotypes.

Original languageEnglish (US)
JournalHuman Molecular Genetics
Volume17
Issue numberR2
DOIs
StatePublished - Oct 15 2008

ASJC Scopus subject areas

  • Genetics
  • Genetics(clinical)
  • Molecular Biology

Fingerprint Dive into the research topics of 'Accounting for ancestry: Population substructure and genome-wide association studies'. Together they form a unique fingerprint.

Cite this