A high-resolution HLA reference panel capturing global population diversity enables multi-ancestry fine-mapping in HIV host response
dc.contributor.author | Luo, Yang | |
dc.contributor.author | Kanai, Masahiro | |
dc.contributor.author | Choi, Wanson | |
dc.contributor.author | Li, Xinyi | |
dc.contributor.author | Sakaue, Saori | |
dc.contributor.author | Yamamoto, Kenichi | |
dc.contributor.author | Ogawa, Kotaro | |
dc.contributor.author | Gutierrez-Arcelus, Maria | |
dc.contributor.author | Gregersen, Peter K. | |
dc.contributor.author | Stuart, Philip E. | |
dc.contributor.author | Elder, James T. | |
dc.contributor.author | Forer, Lukas | |
dc.contributor.author | Schönherr, Sebastian | |
dc.contributor.author | Fuchsberger, Christian | |
dc.contributor.author | Smith, Albert V. | |
dc.contributor.author | Fellay, Jacques | |
dc.contributor.author | Carrington, Mary | |
dc.contributor.author | Haas, David W. | |
dc.contributor.author | Guo, Xiuqing | |
dc.contributor.author | Palmer, Nicholette D. | |
dc.contributor.author | Chen, Yii-Der Ida | |
dc.contributor.author | Rotter, Jerome I. | |
dc.contributor.author | Taylor, Kent D. | |
dc.contributor.author | Rich, Stephen S. | |
dc.contributor.author | Correa, Adolfo | |
dc.contributor.author | Wilson, James G. | |
dc.contributor.author | Kathiresan, Sekar | |
dc.contributor.author | Cho, Michael H. | |
dc.contributor.author | Metspalu, Andres | |
dc.contributor.author | Esko, Tonu | |
dc.contributor.author | Okada, Yukinori | |
dc.contributor.author | Han, Buhm | |
dc.contributor.author | NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium | |
dc.contributor.author | McLaren, Paul J. | |
dc.contributor.author | Raychaudhuri, Soumya | |
dc.contributor.department | Obstetrics and Gynecology, School of Medicine | |
dc.date.accessioned | 2024-07-18T14:19:26Z | |
dc.date.available | 2024-07-18T14:19:26Z | |
dc.date.issued | 2021 | |
dc.description.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. | |
dc.eprint.version | Author's manuscript | |
dc.identifier.citation | Luo Y, Kanai M, Choi W, et al. A high-resolution HLA reference panel capturing global population diversity enables multi-ancestry fine-mapping in HIV host response [published correction appears in Nat Genet. 2021 Dec;53(12):1722. doi: 10.1038/s41588-021-00979-9]. Nat Genet. 2021;53(10):1504-1516. doi:10.1038/s41588-021-00935-7 | |
dc.identifier.uri | https://hdl.handle.net/1805/42309 | |
dc.language.iso | en_US | |
dc.publisher | Springer Nature | |
dc.relation.isversionof | 10.1038/s41588-021-00935-7 | |
dc.relation.journal | Nature Genetics | |
dc.rights | Publisher Policy | |
dc.source | PMC | |
dc.subject | HIV infections | |
dc.subject | Physical chromosome mapping | |
dc.subject | Amino acids | |
dc.subject | Haplotypes | |
dc.subject | Linkage disequilibrium | |
dc.title | A high-resolution HLA reference panel capturing global population diversity enables multi-ancestry fine-mapping in HIV host response | |
dc.type | Article |