Multiancestry sex-stratified genomic associations with HIV viral load and controller status from the ICGH.


Journal

JCI insight
ISSN: 2379-3708
Titre abrégé: JCI Insight
Pays: United States
ID NLM: 101676073

Informations de publication

Date de publication:
08 06 2023
Historique:
received: 27 02 2023
accepted: 19 04 2023
medline: 9 6 2023
pubmed: 25 4 2023
entrez: 25 4 2023
Statut: epublish

Résumé

Biological sex and host genetics influence HIV pathogenesis. Females have a higher likelihood of spontaneous viral control and lower set point viral load (spVL). No prior studies have assessed sex-specific genetics of HIV. To address this, we performed a sex-stratified genome-wide association study using data from the ICGH. Although it is the largest collection of genomic data in HIV, this multiethnic sample of 9,705 people is 81.3% male. We sought to identify sex-specific genetic variants and genes associated with HIV spVL and control. We confirmed associations in the HLA and CCR5 regions in males and HLA in females. Gene-based analyses detected associations between HIV spVL and PET100, PCP2, XAB2, and STXBP2 only in males. We detected variants with a significant sex-differential effect on spVL in SDC3 and PUM1 (rs10914268) and PSORS1C2 (rs1265159) and on HIV control in SUB1 (rs687659), AL158151.3, PTPA, and IER5L (rs4387067). Those variants have epigenetic and genetic interactions with relevant genes with both cis and trans effects. In summary, we identified sex-shared associations at the single-variant level, sex-specific associations at the gene-based level, and genetic variants with significant differential effects between the sexes.

Identifiants

pubmed: 37097752
pii: 170068
doi: 10.1172/jci.insight.170068
pmc: PMC10393222
doi:
pii:

Substances chimiques

PUM1 protein, human 0
RNA-Binding Proteins 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : NIAID NIH HHS
ID : R01 AI148049
Pays : United States
Organisme : NIAID NIH HHS
ID : R01 AI154541
Pays : United States

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Auteurs

Candelaria Vergara (C)

Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.

Jeffrey F Tuff (JF)

National Laboratory for HIV Genetics, National Microbiology Laboratories, Public Health Agency of Canada, Winnipeg, Manitoba, Canada.

Jacques Fellay (J)

Global Health Institute, School of Life Sciences, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
Precision Medicine Unit, Biomedical Data Science Center, Lausanne University Hospital (CHUV) and University of Lausanne, Lausanne, Switzerland.

Priya Duggal (P)

Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.

Eileen P Scully (EP)

Johns Hopkins University, Department of Medicine, Baltimore, Maryland, USA.

Paul J McLaren (PJ)

National Laboratory for HIV Genetics, National Microbiology Laboratories, Public Health Agency of Canada, Winnipeg, Manitoba, Canada.
Department of Medical Microbiology and Infectious Diseases, University of Manitoba, Winnipeg, Manitoba, Canada.

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Classifications MeSH