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Imputation of low-coverage sequencing data from 150,119 UK Biobank genomes.
Rubinacci, Simone; Hofmeister, Robin J; Sousa da Mota, Bárbara; Delaneau, Olivier.
Afiliação
  • Rubinacci S; Department of Computational Biology, University of Lausanne, Lausanne, Switzerland.
  • Hofmeister RJ; Swiss Institute of Bioinformatics, Lausanne, Switzerland.
  • Sousa da Mota B; Department of Computational Biology, University of Lausanne, Lausanne, Switzerland.
  • Delaneau O; Swiss Institute of Bioinformatics, Lausanne, Switzerland.
Nat Genet ; 55(7): 1088-1090, 2023 07.
Article em En | MEDLINE | ID: mdl-37386250
ABSTRACT
The release of 150,119 UK Biobank sequences represents an unprecedented opportunity as a reference panel to impute low-coverage whole-genome sequencing data with high accuracy but current methods cannot cope with the size of the data. Here we introduce GLIMPSE2, a low-coverage whole-genome sequencing imputation method that scales sublinearly in both the number of samples and markers, achieving efficient whole-genome imputation from the UK Biobank reference panel while retaining high accuracy for ancient and modern genomes, particularly at rare variants and for very low-coverage samples.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Bancos de Espécimes Biológicos / Polimorfismo de Nucleotídeo Único País como assunto: Europa Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Bancos de Espécimes Biológicos / Polimorfismo de Nucleotídeo Único País como assunto: Europa Idioma: En Ano de publicação: 2023 Tipo de documento: Article