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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Bibliographic Details
Main Authors: Tatsuhiko Naito, Ken Suzuki, Jun Hirata, Yoichiro Kamatani, Koichi Matsuda, Tatsushi Toda, Yukinori Okada
Format: Article
Language:English
Published: Nature Publishing Group 2021-03-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-021-21975-x

Internet

https://doi.org/10.1038/s41467-021-21975-x

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