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Eigenanalysis of SNP data with an identity by descent interpretation

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  • Zheng, Xiuwen
  • Weir, Bruce S.

Abstract

Principal component analysis (PCA) is widely used in genome-wide association studies (GWAS), and the principal component axes often represent perpendicular gradients in geographic space. The explanation of PCA results is of major interest for geneticists to understand fundamental demographic parameters. Here, we provide an interpretation of PCA based on relatedness measures, which are described by the probability that sets of genes are identical-by-descent (IBD). An approximately linear transformation between ancestral proportions (AP) of individuals with multiple ancestries and their projections onto the principal components is found.

Suggested Citation

  • Zheng, Xiuwen & Weir, Bruce S., 2016. "Eigenanalysis of SNP data with an identity by descent interpretation," Theoretical Population Biology, Elsevier, vol. 107(C), pages 65-76.
    • Handle: RePEc:eee:thpobi:v:107:y:2016:i:c:p:65-76
    DOI: 10.1016/j.tpb.2015.09.004
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    References listed on IDEAS

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    Cited by:

    1. Alejandro Ochoa & John D Storey, 2021. "Estimating FST and kinship for arbitrary population structures," PLOS Genetics, Public Library of Science, vol. 17(1), pages 1-36, January.
    2. Buschbom, Jutta, 2018. "Exploring and validating statistical reliability in forensic conservation genetics," Thünen Reports 63, Johann Heinrich von Thünen Institute, Federal Research Institute for Rural Areas, Forestry and Fisheries.

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