Controlling for population structure and genotyping platform bias in the eMERGE multi-institutional biobank linked to Electronic Health Records

Controlling for population structure and genotyping platform bias in the eMERGE multi-institutional biobank linked to Electronic Health Records

Combining samples across multiple cohorts in large-scale scientific research programs is often required to achieve the necessary power for genome-wide association studies. Controlling for genomic ancestry through principal component analysis (PCA) to address the effect of population stratification i...

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Bibliographic Details
Main Authors: David Russell Crosslin, Gerard eTromp, Amber eBurt, Daniel Seung Kim, Shefali S Verma, Anastasia M. Lucas, Yuki eBradford, Dana C. Crawford, Sebastian M. Armasu, John A. Heit, M. Geoffrey Hayes, Helena eKuivaniemi, Marylyn D Ritchie, Gail P. Jarvik, Mariza eDe Andrade
Format: Article
Language:English
Published: Frontiers Media S.A. 2014-11-01
Series:Frontiers in Genetics
Subjects:
Principal Component Analysis
ancestry
Biobank
genetic association study
loadings
Online Access:http://journal.frontiersin.org/Journal/10.3389/fgene.2014.00352/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fgene.2014.00352/full

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