PMID- 33712626 OWN - NLM STAT- MEDLINE DCOM- 20210401 LR - 20230129 IS - 2041-1723 (Electronic) IS - 2041-1723 (Linking) VI - 12 IP - 1 DP - 2021 Mar 12 TI - A deep learning method for HLA imputation and trans-ethnic MHC fine-mapping of type 1 diabetes. PG - 1639 LID - 10.1038/s41467-021-21975-x [doi] LID - 1639 AB - Conventional human leukocyte antigen (HLA) imputation methods drop their performance for infrequent alleles, which is one of the factors that reduce the reliability of trans-ethnic major histocompatibility complex (MHC) fine-mapping due to inter-ethnic heterogeneity in allele frequency spectra. We develop DEEP*HLA, a deep learning method for imputing HLA genotypes. Through validation using the Japanese and European HLA reference panels (n = 1,118 and 5,122), DEEP*HLA achieves the highest accuracies with significant superiority for low-frequency and rare alleles. DEEP*HLA is less dependent on distance-dependent linkage disequilibrium decay of the target alleles and might capture the complicated region-wide information. We apply DEEP*HLA to type 1 diabetes GWAS data from BioBank Japan (n = 62,387) and UK Biobank (n = 354,459), and successfully disentangle independently associated class I and II HLA variants with shared risk among diverse populations (the top signal at amino acid position 71 of HLA-DRbeta1; P = 7.5 x 10(-120)). Our study illustrates the value of deep learning in genotype imputation and trans-ethnic MHC fine-mapping. FAU - Naito, Tatsuhiko AU - Naito T AUID- ORCID: 0000-0002-2779-4600 AD - Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan. AD - Department of Neurology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan. FAU - Suzuki, Ken AU - Suzuki K AUID- ORCID: 0000-0003-1065-3593 AD - Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan. FAU - Hirata, Jun AU - Hirata J AD - Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan. AD - Pharmaceutical Discovery Research Laboratories, Teijin Pharma Limited, Hino, Japan. FAU - Kamatani, Yoichiro AU - Kamatani Y AD - Laboratory of Complex Trait Genomics, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan. FAU - Matsuda, Koichi AU - Matsuda K AUID- ORCID: 0000-0001-7292-2686 AD - Laboratory of Clinical Genome Sequencing, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan. FAU - Toda, Tatsushi AU - Toda T AD - Department of Neurology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan. FAU - Okada, Yukinori AU - Okada Y AUID- ORCID: 0000-0002-0311-8472 AD - Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan. yokada@sg.med.osaka-u.ac.jp. AD - Laboratory of Statistical Immunology, Immunology Frontier Research Center (WPI-IFReC), Osaka University, Suita, Japan. yokada@sg.med.osaka-u.ac.jp. AD - Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Suita, Japan. yokada@sg.med.osaka-u.ac.jp. LA - eng GR - MC_PC_17228/MRC_/Medical Research Council/United Kingdom GR - MC_QA137853/MRC_/Medical Research Council/United Kingdom PT - Journal Article PT - Research Support, Non-U.S. Gov't DEP - 20210312 PL - England TA - Nat Commun JT - Nature communications JID - 101528555 RN - 0 (HLA Antigens) RN - 0 (Histocompatibility Antigens Class I) RN - 0 (Histocompatibility Antigens Class II) SB - IM MH - Alleles MH - *Deep Learning MH - Diabetes Mellitus, Type 1/*genetics MH - Ethnicity/genetics MH - Genetic Predisposition to Disease/*genetics MH - Genome-Wide Association Study MH - Genotype MH - HLA Antigens/*genetics MH - Histocompatibility Antigens Class I/genetics MH - Histocompatibility Antigens Class II/genetics MH - Humans MH - Linkage Disequilibrium MH - Major Histocompatibility Complex/*genetics MH - Racial Groups PMC - PMC7955122 COIS- The authors declare no competing interests. EDAT- 2021/03/14 06:00 MHDA- 2021/04/02 06:00 PMCR- 2021/03/12 CRDT- 2021/03/13 06:00 PHST- 2020/11/24 00:00 [received] PHST- 2021/02/19 00:00 [accepted] PHST- 2021/03/13 06:00 [entrez] PHST- 2021/03/14 06:00 [pubmed] PHST- 2021/04/02 06:00 [medline] PHST- 2021/03/12 00:00 [pmc-release] AID - 10.1038/s41467-021-21975-x [pii] AID - 21975 [pii] AID - 10.1038/s41467-021-21975-x [doi] PST - epublish SO - Nat Commun. 2021 Mar 12;12(1):1639. doi: 10.1038/s41467-021-21975-x.