Host genetics and viral load in primary HIV-1 infection: clear evidence for gene by sex interactions
Author(s)
Type
Journal Article
Abstract
Research in the past two decades has generated unequivocal evidence that host genetic variations substantially account for the heterogeneous outcomes following human immunodeficiency virus type 1 (HIV-1) infection. In particular, genes encoding human leukocyte antigens (HLA) have various alleles, haplotypes, or specific motifs that can dictate the set-point (a relatively steady state) of plasma viral load (VL), although rapid viral evolution driven by innate and acquired immune responses can obscure the long-term relationships between HLA genotypes and HIV-1-related outcomes. In our analyses of VL data from 521 recent HIV-1 seroconverters enrolled from eastern and southern Africa, HLA-A*03:01 was strongly and persistently associated with low VL in women (frequency = 11.3 %, P < 0.0001) but not in men (frequency = 7.7 %, P = 0.66). This novel sex by HLA interaction (P = 0.003, q = 0.090) did not extend to other frequent HLA class I alleles (n = 34), although HLA-C*18:01 also showed a weak association with low VL in women only (frequency = 9.3 %, P = 0.042, q > 0.50). In a reduced multivariable model, age, sex, geography (clinical sites), previously identified HLA factors (HLA-B*18, B*45, B*53, and B*57), and the interaction term for female sex and HLA-A*03:01 collectively explained 17.0 % of the overall variance in geometric mean VL over a 3-year follow-up period (P < 0.0001). Multiple sensitivity analyses of longitudinal and cross-sectional VL data yielded consistent results. These findings can serve as a proof of principle that the gap of "missing heritability" in quantitative genetics can be partially bridged by a systematic evaluation of sex-specific associations.
Date Issued
2014-06-27
Date Acceptance
2014-06-16
Citation
Human Genetics, 2014, 133 (9), pp.1187-1197
ISSN
1432-1203
Publisher
Springer
Start Page
1187
End Page
1197
Journal / Book Title
Human Genetics
Volume
133
Issue
9
Copyright Statement
© 2014, The Author(s). This article is published with open access at Springerlink.com. This article is distributed under the terms of the Creative
Commons Attribution License which permits any use, distribution,
and reproduction in any medium, provided the original author(s)
and the source are credited.
Commons Attribution License which permits any use, distribution,
and reproduction in any medium, provided the original author(s)
and the source are credited.
License URL
Identifier
http://www.ncbi.nlm.nih.gov/pubmed/24969460
Subjects
Adult Africa, Eastern Africa, Western Alleles Cross-Sectional Studies Female *Genetic Variation HIV Infections/*genetics/immunology/virology HIV Seropositivity HIV-1/*immunology HLA-A Antigens/*genetics/immunology HLA-B Antigens/*genetics/immunology HLA-C Antigens/*genetics/immunology Haplotypes Humans Linkage Disequilibrium Longitudinal Studies Male Multivariate Analysis Quantitative Trait, Heritable Sex Factors Viral Load Young Adult
Notes
Li, Xuelin Price, Matthew A He, Dongning Kamali, Anatoli Karita, Etienne Lakhi, Shabir Sanders, Eduard J Anzala, Omu Amornkul, Pauli N Allen, Susan Hunter, Eric Kaslow, Richard A Gilmour, Jill Tang, Jianming eng 077092/Wellcome Trust/United Kingdom AI064060/AI/NIAID NIH HHS/ AI071906/AI/NIAID NIH HHS/ TW001042/TW/FIC NIH HHS/ Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't Germany 2014/06/28 06:00 Hum Genet. 2014 Sep;133(9):1187-97. doi: 10.1007/s00439-014-1465-x. Epub 2014 Jun 27. Research in the past two decades has generated unequivocal evidence that host genetic variations substantially account for the heterogeneous outcomes following human immunodeficiency virus type 1 (HIV-1) infection. In particular, genes encoding human leukocyte antigens (HLA) have various alleles, haplotypes, or specific motifs that can dictate the set-point (a relatively steady state) of plasma viral load (VL), although rapid viral evolution driven by innate and acquired immune responses can obscure the long-term relationships between HLA genotypes and HIV-1-related outcomes. In our analyses of VL data from 521 recent HIV-1 seroconverters enrolled from eastern and southern Africa, HLA-A*03:01 was strongly and persistently associated with low VL in women (frequency = 11.3 %, P < 0.0001) but not in men (frequency = 7.7 %, P = 0.66). This novel sex by HLA interaction (P = 0.003, q = 0.090) did not extend to other frequent HLA class I alleles (n = 34), although HLA-C*18:01 also showed a weak association with low VL in women only (frequency = 9.3 %, P = 0.042, q > 0.50). In a reduced multivariable model, age, sex, geography (clinical sites), previously identified HLA factors (HLA-B*18, B*45, B*53, and B*57), and the interaction term for female sex and HLA-A*03:01 collectively explained 17.0 % of the overall variance in geometric mean VL over a 3-year follow-up period (P < 0.0001). Multiple sensitivity analyses of longitudinal and cross-sectional VL data yielded consistent results. These findings can serve as a proof of principle that the gap of "missing heritability" in quantitative genetics can be partially bridged by a systematic evaluation of sex-specific associations.
Publication Status
Published