Deep learning-based phenotype imputation on population-scale biobank data increases genetic discoveries

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: 1 Online-Ressource.

Language: Englisch

Bibliographic citation: Deep learning-based phenotype imputation on population-scale biobank data increases genetic discoveries ; volume:55 ; number:12 ; day:20 ; month:11 ; year:2023 ; pages:2269-2276 ; date:12.2023
Nature genetics ; 55, Heft 12 (20.11.2023), 2269-2276, 12.2023

Creator: An, Ulzee
Pazokitoroudi, Ali
Alvarez, Marcus
Huang, Lianyun
Bacanu, Silviu
Schork, Andrew J.
Kendler, Kenneth S.
Pajukanta, Päivi
Flint, Jonathan
Zaitlen, Noah
Cai, Na
Dahl, Andy
Sankararaman, Sriram

Contributor: SpringerLink (Online service)

DOI: 10.1038/s41588-023-01558-w

URN: urn:nbn:de:101:1-2024022307570551442462

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:56 AM CEST

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An, Ulzee
Pazokitoroudi, Ali
Alvarez, Marcus
Huang, Lianyun
Bacanu, Silviu
Schork, Andrew J.
Kendler, Kenneth S.
Pajukanta, Päivi
Flint, Jonathan
Zaitlen, Noah
Cai, Na
Dahl, Andy
Sankararaman, Sriram
SpringerLink (Online service)

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Deep learning-based phenotype imputation on population-scale biobank data increases genetic discoveries

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Other Objects (12)

A Genomics England haplotype reference panel and imputation of UK Biobank

A novel phenotype imputation method with copula model

Exome sequencing of fetal anomaly syndromes: novel phenotype–genotype discoveries

Evaluation of a phenotype imputation approach using GAW20 simulated data

Yield of genetic association signals from genomes, exomes and imputation in the UK Biobank

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Sex Differences in the Broad Autism Phenotype: Insights from the Australian Biobank

Disease prediction with multi-omics and biomarkers empowers case–control genetic discoveries in the UK Biobank

Imputation

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Environmental properties of cells improve machine learning-based phenotype recognition accuracy

Developing a phenotype risk score for tic disorders in a large, clinical biobank

A Genomics England haplotype reference panel and imputation of UK Biobank

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Evaluation of a phenotype imputation approach using GAW20 simulated data

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