PGG MHC

PGG MHC provides high-resolution HLA allele data and analytical functions derived from whole-genome and whole-exome sequencing to characterize MHC (HLA) diversity across global human populations.


Key Features:

  • Extensive Data Archive: Contains high-resolution HLA allele information from 53,254 samples representing 190 populations across 66 countries.
  • High-Quality Allele Frequencies: Provides allele frequency data for eight classical HLA loci: HLA-A, -B, -C, -DQA1, -DQB1, -DRB1, -DPA1, and -DPB1.
  • Visualization Tools: Enables visualization of HLA allele prevalence at global, regional, and country-specific levels.
  • Haplotype Structure Analysis: Reports haplotype structures for 134 populations to inform linkage and population-level patterns within MHC loci.
  • HLA Imputation Tool: Infers HLA alleles from SNP genotyping data using reference panels.
  • HLA Association Tool: Performs case/control association analyses between HLA alleles and phenotypes.
  • East Asian-Specific Reference Panels: Provides specialized reference panels to improve HLA imputation accuracy in East Asian populations.

Scientific Applications:

  • Population genetics and diversity mapping: Characterizes global and regional distribution of MHC alleles and haplotypes across human populations.
  • Evolutionary studies: Investigates HLA polymorphism and haplotype structure to study selection and demographic history of MHC loci.
  • Immunogenetics and disease association: Supports case/control analyses to identify associations between HLA alleles and disease susceptibility or immune-related phenotypes.
  • Genotype imputation and cohort analysis: Enables inference of HLA alleles from SNP data using population-specific reference panels for large-scale genomic studies.

Methodology:

Leverages whole-genome and whole-exome sequencing to obtain high-resolution HLA allele information, computes allele frequencies for the eight classical HLA loci, analyzes haplotype structures across populations, performs HLA imputation from SNP genotyping using reference panels (including East Asian-specific panels), and conducts case/control HLA association analyses.

Topics

Details

License:
MIT
Cost:
Free of charge
Tool Type:
command-line tool, web application
Operating Systems:
Mac, Linux, Windows
Programming Languages:
Python
Added:
2/1/2023
Last Updated:
11/24/2024

Operations

Publications

Zhao X, Ma S, Wang B, Jiang X, Xu S. <i>PGG</i>.MHC: toward understanding the diversity of major histocompatibility complexes in human populations. Nucleic Acids Research. 2022;51(D1):D1102-D1108. doi:10.1093/nar/gkac997. PMID:36321663. PMCID:PMC9825418.

PMID: 36321663
PMCID: PMC9825418
Funding: - The Basic Science Center Program: 32288101 - National Natural Science Foundation of China: 31961130380, 32030020 - Strategic Priority Research Program: XDB38000000, XDPB17 - UK Royal Society-Newton Advanced Fellowship: NAF\R1\191094 - Shanghai Municipal Science and Technology Major Project: 2017SHZDZX01, RS NAF\R1\191094

Links