A deep learning method for HLA imputation and trans-ethnic MHC fine-mapping of type 1 diabetes

A deep learning method for HLA imputation and trans-ethnic MHC fine-mapping of type 1 diabetes

Human leukocyte antigen (HLA) genes contribute to risk of many complex traits, yet understanding inter-ethnic heterogeneity is computationally challenging. Here, the authors develop DEEP*HLA for imputation of HLA genotypes and show its ability to disentangle HLA variant risk effects in diverse popul...

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Autores principales: Tatsuhiko Naito, Ken Suzuki, Jun Hirata, Yoichiro Kamatani, Koichi Matsuda, Tatsushi Toda, Yukinori Okada
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Science
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Acceso en línea:https://doaj.org/article/d7317882897f4f4785597fe336ab7a96
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