Associations of functional human leucocyte antigen class I groups with HIV viral load in a heterogeneous cohort

Research output: Contribution to journalJournal articleResearchpeer-review

Standard

Associations of functional human leucocyte antigen class I groups with HIV viral load in a heterogeneous cohort. / Zucco, Adrian G.; Bennedbæk, Marc; Ekenberg, Christina; Gabrielaite, Migle; Leung, Preston; Polizzotto, Mark N; Kan, Virginia; Murray, Daniel D; Lundgren, Jens D; MacPherson, Cameron R.; INSIGHT START Study Group.

In: AIDS, Vol. 37, No. 11, 2023, p. 1643-1650.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Zucco, AG, Bennedbæk, M, Ekenberg, C, Gabrielaite, M, Leung, P, Polizzotto, MN, Kan, V, Murray, DD, Lundgren, JD, MacPherson, CR & INSIGHT START Study Group 2023, 'Associations of functional human leucocyte antigen class I groups with HIV viral load in a heterogeneous cohort', AIDS, vol. 37, no. 11, pp. 1643-1650. https://doi.org/10.1097/QAD.0000000000003557

APA

Zucco, A. G., Bennedbæk, M., Ekenberg, C., Gabrielaite, M., Leung, P., Polizzotto, M. N., Kan, V., Murray, D. D., Lundgren, J. D., MacPherson, C. R., & INSIGHT START Study Group (2023). Associations of functional human leucocyte antigen class I groups with HIV viral load in a heterogeneous cohort. AIDS, 37(11), 1643-1650. https://doi.org/10.1097/QAD.0000000000003557

Vancouver

Zucco AG, Bennedbæk M, Ekenberg C, Gabrielaite M, Leung P, Polizzotto MN et al. Associations of functional human leucocyte antigen class I groups with HIV viral load in a heterogeneous cohort. AIDS. 2023;37(11):1643-1650. https://doi.org/10.1097/QAD.0000000000003557

Author

Zucco, Adrian G. ; Bennedbæk, Marc ; Ekenberg, Christina ; Gabrielaite, Migle ; Leung, Preston ; Polizzotto, Mark N ; Kan, Virginia ; Murray, Daniel D ; Lundgren, Jens D ; MacPherson, Cameron R. ; INSIGHT START Study Group. / Associations of functional human leucocyte antigen class I groups with HIV viral load in a heterogeneous cohort. In: AIDS. 2023 ; Vol. 37, No. 11. pp. 1643-1650.

Bibtex

@article{10a9ebdae5e44dd289dd6e7e3f3eaed2,
title = "Associations of functional human leucocyte antigen class I groups with HIV viral load in a heterogeneous cohort",
abstract = "OBJECTIVE: Human leucocyte antigen (HLA) class I alleles are the main host genetic factors involved in controlling HIV-1 viral load (VL). Nevertheless, HLA diversity has proven a significant challenge in association studies. We assessed how accounting for binding affinities of HLA class I alleles to HIV-1 peptides facilitate association testing of HLA with HIV-1 VL in a heterogeneous cohort.DESIGN: Cohort from the Strategic Timing of AntiRetroviral Treatment (START) study.METHODS: We imputed HLA class I alleles from host genetic data (2546 HIV+ participants) and sampled immunopeptidomes from 2079 host-paired viral genomes (targeted amplicon sequencing). We predicted HLA class I binding affinities to HIV-1 and unspecific peptides, grouping alleles into functional clusters through consensus clustering. These functional HLA class I clusters were used to test associations with HIV VL.RESULTS: We identified four clades totaling 30 HLA alleles accounting for 11.4% variability in VL. We highlight HLA-B∗57:01 and B∗57:03 as functionally similar but yet overrepresented in distinct ethnic groups, showing when combined a protective association with HIV+ VL (log, β -0.25; adj. P-value < 0.05). We further demonstrate only a slight power reduction when using unspecific immunopeptidomes, facilitating the use of the inferred functional HLA groups in other studies.CONCLUSION: The outlined computational approach provides a robust and efficient way to incorporate HLA function and peptide diversity, aiding clinical association studies in heterogeneous cohorts. To facilitate access to the proposed methods and results we provide an interactive application for exploring data.",
keywords = "Humans, Viral Load, HIV Infections/drug therapy, Histocompatibility Antigens Class I/genetics, HLA-B Antigens/genetics, HIV Seropositivity, HIV-1/genetics, Alleles",
author = "Zucco, {Adrian G.} and Marc Bennedb{\ae}k and Christina Ekenberg and Migle Gabrielaite and Preston Leung and Polizzotto, {Mark N} and Virginia Kan and Murray, {Daniel D} and Lundgren, {Jens D} and MacPherson, {Cameron R.} and {INSIGHT START Study Group}",
note = "Copyright {\textcopyright} 2023 The Author(s). Published by Wolters Kluwer Health, Inc.",
year = "2023",
doi = "10.1097/QAD.0000000000003557",
language = "English",
volume = "37",
pages = "1643--1650",
journal = "AIDS",
issn = "1350-2840",
publisher = "Lippincott Williams & Wilkins, Ltd.",
number = "11",

}

RIS

TY - JOUR

T1 - Associations of functional human leucocyte antigen class I groups with HIV viral load in a heterogeneous cohort

AU - Zucco, Adrian G.

AU - Bennedbæk, Marc

AU - Ekenberg, Christina

AU - Gabrielaite, Migle

AU - Leung, Preston

AU - Polizzotto, Mark N

AU - Kan, Virginia

AU - Murray, Daniel D

AU - Lundgren, Jens D

AU - MacPherson, Cameron R.

AU - INSIGHT START Study Group

N1 - Copyright © 2023 The Author(s). Published by Wolters Kluwer Health, Inc.

PY - 2023

Y1 - 2023

N2 - OBJECTIVE: Human leucocyte antigen (HLA) class I alleles are the main host genetic factors involved in controlling HIV-1 viral load (VL). Nevertheless, HLA diversity has proven a significant challenge in association studies. We assessed how accounting for binding affinities of HLA class I alleles to HIV-1 peptides facilitate association testing of HLA with HIV-1 VL in a heterogeneous cohort.DESIGN: Cohort from the Strategic Timing of AntiRetroviral Treatment (START) study.METHODS: We imputed HLA class I alleles from host genetic data (2546 HIV+ participants) and sampled immunopeptidomes from 2079 host-paired viral genomes (targeted amplicon sequencing). We predicted HLA class I binding affinities to HIV-1 and unspecific peptides, grouping alleles into functional clusters through consensus clustering. These functional HLA class I clusters were used to test associations with HIV VL.RESULTS: We identified four clades totaling 30 HLA alleles accounting for 11.4% variability in VL. We highlight HLA-B∗57:01 and B∗57:03 as functionally similar but yet overrepresented in distinct ethnic groups, showing when combined a protective association with HIV+ VL (log, β -0.25; adj. P-value < 0.05). We further demonstrate only a slight power reduction when using unspecific immunopeptidomes, facilitating the use of the inferred functional HLA groups in other studies.CONCLUSION: The outlined computational approach provides a robust and efficient way to incorporate HLA function and peptide diversity, aiding clinical association studies in heterogeneous cohorts. To facilitate access to the proposed methods and results we provide an interactive application for exploring data.

AB - OBJECTIVE: Human leucocyte antigen (HLA) class I alleles are the main host genetic factors involved in controlling HIV-1 viral load (VL). Nevertheless, HLA diversity has proven a significant challenge in association studies. We assessed how accounting for binding affinities of HLA class I alleles to HIV-1 peptides facilitate association testing of HLA with HIV-1 VL in a heterogeneous cohort.DESIGN: Cohort from the Strategic Timing of AntiRetroviral Treatment (START) study.METHODS: We imputed HLA class I alleles from host genetic data (2546 HIV+ participants) and sampled immunopeptidomes from 2079 host-paired viral genomes (targeted amplicon sequencing). We predicted HLA class I binding affinities to HIV-1 and unspecific peptides, grouping alleles into functional clusters through consensus clustering. These functional HLA class I clusters were used to test associations with HIV VL.RESULTS: We identified four clades totaling 30 HLA alleles accounting for 11.4% variability in VL. We highlight HLA-B∗57:01 and B∗57:03 as functionally similar but yet overrepresented in distinct ethnic groups, showing when combined a protective association with HIV+ VL (log, β -0.25; adj. P-value < 0.05). We further demonstrate only a slight power reduction when using unspecific immunopeptidomes, facilitating the use of the inferred functional HLA groups in other studies.CONCLUSION: The outlined computational approach provides a robust and efficient way to incorporate HLA function and peptide diversity, aiding clinical association studies in heterogeneous cohorts. To facilitate access to the proposed methods and results we provide an interactive application for exploring data.

KW - Humans

KW - Viral Load

KW - HIV Infections/drug therapy

KW - Histocompatibility Antigens Class I/genetics

KW - HLA-B Antigens/genetics

KW - HIV Seropositivity

KW - HIV-1/genetics

KW - Alleles

U2 - 10.1097/QAD.0000000000003557

DO - 10.1097/QAD.0000000000003557

M3 - Journal article

C2 - 37534724

VL - 37

SP - 1643

EP - 1650

JO - AIDS

JF - AIDS

SN - 1350-2840

IS - 11

ER -

ID: 361442254