| Title: | Using the UK Biobank as a global reference of worldwide populations: application to measuring ancestry diversity from GWAS summary statistics |
| Journal: | Bioinformatics |
| Published: | 23 May 2022 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/35604078/ |
| DOI: | https://doi.org/10.1093/bioinformatics/btac348 |
| URL: | https://academic.oup.com/bioinformatics/article-pdf/38/13/3477/44268849/btac348.pdf |
| Citations: | 20 (17 in last 2 years) as of 8 Aug 2024 |
Publication 7583
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Abstract
MOTIVATION: Measuring genetic diversity is an important problem because increasing genetic diversity is a key to making new genetic discoveries, while also being a major source of confounding to be aware of in genetics studies.</p>
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 UK, 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.</p>
AVAILABILITY AND IMPLEMENTATION: This method is implemented in function snp_ancestry_summary of R package bigsnpr.</p>
SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.</p>
1 Author
- Florian Privé
1 Application
| Application ID | Title |
|---|---|
| 58024 | Combining Genetic and Environmental Information to Predict Disease Risk |
Enabling scientific discoveries that improve human health