Dataset Information

Inferring population structure in biobank-scale genomic data.

ABSTRACT: Inferring the structure of human populations from genetic variation data is a key task in population and medical genomic studies. Although a number of methods for population structure inference have been proposed, current methods are impractical to run on biobank-scale genomic datasets containing millions of individuals and genetic variants. We introduce SCOPE, a method for population structure inference that is orders of magnitude faster than existing methods while achieving comparable accuracy. SCOPE infers population structure in about a day on a dataset containing one million individuals and variants as well as on the UK Biobank dataset containing 488,363 individuals and 569,346 variants. Furthermore, SCOPE can leverage allele frequencies from previous studies to improve the interpretability of population structure estimates.

SUBMITTER: Chiu AM

PROVIDER: S-EPMC9069078 | biostudies-literature | 2022 Apr

REPOSITORIES: biostudies-literature

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Inferring population structure in biobank-scale genomic data.

Chiu Alec M AM Molloy Erin K EK Tan Zilong Z Talwalkar Ameet A Sankararaman Sriram S

American journal of human genetics 20220316 4

Inferring the structure of human populations from genetic variation data is a key task in population and medical genomic studies. Although a number of methods for population structure inference have been proposed, current methods are impractical to run on biobank-scale genomic datasets containing millions of individuals and genetic variants. We introduce SCOPE, a method for population structure inference that is orders of magnitude faster than existing methods while achieving comparable accuracy ...[more]

PMID: 35298920

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Dataset Information

Inferring population structure in biobank-scale genomic data.

Publications

Inferring population structure in biobank-scale genomic data.

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