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BMC Proceedings

, 3:S106

First Online: 15 December 2009DOI: 10.1186-1753-6561-3-S7-S106

Cite this article as: Hinrichs, A.L., Culverhouse, R., Jin, C.H. et al. BMC Proc 2009 3Suppl 7: S106. doi:10.1186-1753-6561-3-S7-S106

Abstract

Although identification of cryptic population stratification is necessary for case-control association analyses, it is also vital for linkage analyses and family-based association tests when founder genotypes are missing. However, including related individuals in an analysis such as EIGENSTRAT can result in bias; using only founders or one individual per pedigree results in loss of data and inaccurate estimates of stratification. We examine a generalization of principal-component analyses to allow for the inclusion of related individuals by down-weighting the significance of individual comparisons.

List of abbreviations usedGWASGenome-wide association study

MCMCMarkov-chain Monte Carlo

PCAPrincipal component analysis.

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Author: Anthony L Hinrichs - Robert Culverhouse - Carol H Jin - Brian K Suarez

Source: https://link.springer.com/







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