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PGG.MHC: toward understanding the diversity of major histocompatibility complexes in human populations
The human leukocyte antigen (HLA) system, or the human version of the major histocompatibility complex (MHC), is known for its extreme polymorphic nature and high heterogeneity. Taking advantage of whole-genome and whole-exome sequencing data, we developed PGG.MHC to provide a platform to explore th...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Oxford University Press
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9825418/ https://www.ncbi.nlm.nih.gov/pubmed/36321663 http://dx.doi.org/10.1093/nar/gkac997 |
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author | Zhao, Xiaohan Ma, Sen Wang, Baonan Jiang, Xuetong Xu, Shuhua |
author_facet | Zhao, Xiaohan Ma, Sen Wang, Baonan Jiang, Xuetong Xu, Shuhua |
author_sort | Zhao, Xiaohan |
collection | PubMed |
description | The human leukocyte antigen (HLA) system, or the human version of the major histocompatibility complex (MHC), is known for its extreme polymorphic nature and high heterogeneity. Taking advantage of whole-genome and whole-exome sequencing data, we developed PGG.MHC to provide a platform to explore the diversity of the MHC in Asia as well as in global populations. PGG.MHC currently archives high-resolution HLA alleles of 53 254 samples representing 190 populations spanning 66 countries. PGG.MHC provides: (i) high-quality allele frequencies for eight classical HLA loci (HLA-A, -B, -C, -DQA1, -DQB1, -DRB1, -DPA1 and -DPB1); (ii) visualization of population prevalence of HLA alleles on global, regional, and country-wide levels; (iii) haplotype structure of 134 populations; (iv) two online analysis tools including ‘HLA imputation’ for inferring HLA alleles from SNP genotyping data and ‘HLA association’ to perform case/control studies for HLA-related phenotypes and (v) East Asian–specific reference panels for HLA imputation. Equipped with high-quality frequency data and user-friendly computer tools, we expect that the PGG.MHC database can advance the understanding and facilitate applications of MHC genomic diversity in both evolutionary and medical studies. The PGG.MHC database is freely accessible via https://pog.fudan.edu.cn/pggmhc or https://www.pggmhc.org/pggmhc. |
format | Online Article Text |
id | pubmed-9825418 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-98254182023-01-10 PGG.MHC: toward understanding the diversity of major histocompatibility complexes in human populations Zhao, Xiaohan Ma, Sen Wang, Baonan Jiang, Xuetong Xu, Shuhua Nucleic Acids Res Database Issue The human leukocyte antigen (HLA) system, or the human version of the major histocompatibility complex (MHC), is known for its extreme polymorphic nature and high heterogeneity. Taking advantage of whole-genome and whole-exome sequencing data, we developed PGG.MHC to provide a platform to explore the diversity of the MHC in Asia as well as in global populations. PGG.MHC currently archives high-resolution HLA alleles of 53 254 samples representing 190 populations spanning 66 countries. PGG.MHC provides: (i) high-quality allele frequencies for eight classical HLA loci (HLA-A, -B, -C, -DQA1, -DQB1, -DRB1, -DPA1 and -DPB1); (ii) visualization of population prevalence of HLA alleles on global, regional, and country-wide levels; (iii) haplotype structure of 134 populations; (iv) two online analysis tools including ‘HLA imputation’ for inferring HLA alleles from SNP genotyping data and ‘HLA association’ to perform case/control studies for HLA-related phenotypes and (v) East Asian–specific reference panels for HLA imputation. Equipped with high-quality frequency data and user-friendly computer tools, we expect that the PGG.MHC database can advance the understanding and facilitate applications of MHC genomic diversity in both evolutionary and medical studies. The PGG.MHC database is freely accessible via https://pog.fudan.edu.cn/pggmhc or https://www.pggmhc.org/pggmhc. Oxford University Press 2022-11-02 /pmc/articles/PMC9825418/ /pubmed/36321663 http://dx.doi.org/10.1093/nar/gkac997 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of Nucleic Acids Research. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Database Issue Zhao, Xiaohan Ma, Sen Wang, Baonan Jiang, Xuetong Xu, Shuhua PGG.MHC: toward understanding the diversity of major histocompatibility complexes in human populations |
title |
PGG.MHC: toward understanding the diversity of major histocompatibility complexes in human populations |
title_full |
PGG.MHC: toward understanding the diversity of major histocompatibility complexes in human populations |
title_fullStr |
PGG.MHC: toward understanding the diversity of major histocompatibility complexes in human populations |
title_full_unstemmed |
PGG.MHC: toward understanding the diversity of major histocompatibility complexes in human populations |
title_short |
PGG.MHC: toward understanding the diversity of major histocompatibility complexes in human populations |
title_sort | pgg.mhc: toward understanding the diversity of major histocompatibility complexes in human populations |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9825418/ https://www.ncbi.nlm.nih.gov/pubmed/36321663 http://dx.doi.org/10.1093/nar/gkac997 |
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