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Using the UK Biobank as a global reference of worldwide populations: application to measuring ancestry diversity from GWAS summary statistics

View ORCID ProfileFlorian Privé
doi: https://doi.org/10.1101/2021.10.27.466078
Florian Privé
1National Centre for Register-based Research, Aarhus University, Aarhus, 8210, Denmark
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  • ORCID record for Florian Privé
  • For correspondence: fp@econ.au.dk
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Abstract

Motivation Measuring genetic diversity is an important problem because increasing genetic diversity is key to making new genetic discoveries, while also being a major source of confounding to be aware of in genetics studies.

Results Using the UK Biobank data, a prospective cohort study with deep genetic and phenotypic data collected on almost 500,000 individuals from across the United Kingdom, we carefully define 21 distinct ancestry groups from all four corners of the world. These ancestry groups can serve as a global reference of worldwide populations, with a handful of applications. Here we develop a method that uses allele frequencies and principal components derived from these ancestry groups to effectively measure ancestry proportions from allele frequencies of any genetic dataset.

Availability This method is implemented as function snp_ancestry_summary as part of R package bigsnpr.

Contact florian.prive.21{at}gmail.com

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • Clarify text and add comparisons to Summix and ADMIXTURE.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
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Posted May 11, 2022.
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Using the UK Biobank as a global reference of worldwide populations: application to measuring ancestry diversity from GWAS summary statistics
Florian Privé
bioRxiv 2021.10.27.466078; doi: https://doi.org/10.1101/2021.10.27.466078
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Using the UK Biobank as a global reference of worldwide populations: application to measuring ancestry diversity from GWAS summary statistics
Florian Privé
bioRxiv 2021.10.27.466078; doi: https://doi.org/10.1101/2021.10.27.466078

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