Abstract
Population substructure is a well-known confounder in population-based case-control genetic studies, but its impact in family-based studies is unclear. We performed population substructure analysis using extended families of admixed population to evaluate power and Type I error in an association study framework. Our analysis shows that power was improved by 1.5% after principal components adjustment. Type I error was also reduced by 2.2% after adjusting for family substratification. The presence of population substructure was underscored by discriminant analysis, in which over 92% of individuals were correctly assigned to their actual family using only 100 principal components. This study demonstrates the importance of adjusting for population substructure in family-based studies of admixed populations.
Original language | English |
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Article number | 501617 |
Journal | International Journal of Genomics |
Volume | 2015 |
DOIs | |
State | Published - 2015 |
Bibliographical note
Publisher Copyright:© 2015 T. B. Mersha et al.
ASJC Scopus subject areas
- Biochemistry
- Molecular Biology
- Genetics
- Pharmaceutical Science