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A high-resolution HLA reference panel capturing global population diversity enables multi-ancestry fine-mapping in HIV host response

  • NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium
  • Harvard University
  • The Broad Institute of MIT and Harvard
  • Massachusetts General Hospital
  • The University of Osaka
  • Seoul National University
  • The University of Chicago
  • Northwell Health System
  • University of Michigan, Ann Arbor
  • VA Medical Center
  • Innsbruck Medical University
  • EURAC Research
  • University of Lausanne
  • Swiss Federal Institute of Technology Lausanne
  • National Institutes of Health
  • Massachusetts Institute of Technology
  • Vanderbilt University
  • Meharry Medical College
  • University of California at Los Angeles
  • Wake Forest University
  • University of Virginia
  • University of Mississippi
  • University of Tartu
  • New York Genome Center
  • Brigham and Women’s Hospital
  • University of Pennsylvania
  • Emory University
  • University of Maryland, Baltimore
  • University of Washington
  • Johns Hopkins University
  • University of Kentucky
  • Duke University
  • University of Alabama at Birmingham
  • Stanford University
  • University of Wisconsin-Milwaukee

Research output: Contribution to journalArticlepeer-review

140 Scopus citations

Abstract

Fine-mapping to plausible causal variation may be more effective in multi-ancestry cohorts, particularly in the MHC, which has population-specific structure. To enable such studies, we constructed a large (n = 21,546) HLA reference panel spanning five global populations based on whole-genome sequences. Despite population-specific long-range haplotypes, we demonstrated accurate imputation at G-group resolution (94.2%, 93.7%, 97.8% and 93.7% in admixed African (AA), East Asian (EAS), European (EUR) and Latino (LAT) populations). Applying HLA imputation to genome-wide association study data for HIV-1 viral load in three populations (EUR, AA and LAT), we obviated effects of previously reported associations from population-specific HIV studies and discovered a novel association at position 156 in HLA-B. We pinpointed the MHC association to three amino acid positions (97, 67 and 156) marking three consecutive pockets (C, B and D) within the HLA-B peptide-binding groove, explaining 12.9% of trait variance.

Original languageEnglish
Pages (from-to)1504-1516
Number of pages13
JournalNature Genetics
Volume53
Issue number10
DOIs
StatePublished - Oct 2021

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