Inferring population structure in biobank-scale genomic data.
Am J Hum Genet
; 109(4): 727-737, 2022 04 07.
Article
em En
| MEDLINE
| ID: mdl-35298920
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.
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Base de dados:
MEDLINE
Assunto principal:
Bancos de Espécimes Biológicos
/
Genética Populacional
Limite:
Humans
Idioma:
En
Ano de publicação:
2022
Tipo de documento:
Article