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Chen H, Hayashi G, Lai OY, Dilthey A, Kuebler PJ, Wong TV, Martin MP, Fernandez Vina MA, McVean G, Wabl M, Leslie KS, Maurer T, Martin JN, Deeks SG, Carrington M, Bowcock AM, Nixon DF, Liao W. Psoriasis patients are enriched for genetic variants that protect against HIV-1 disease. PLoS Genet 2012; 8:e1002514. [PMID: 22577363 PMCID: PMC3343879 DOI: 10.1371/journal.pgen.1002514] [Citation(s) in RCA: 56] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2011] [Accepted: 12/11/2011] [Indexed: 02/08/2023] Open
Abstract
An important paradigm in evolutionary genetics is that of a delicate balance between genetic variants that favorably boost host control of infection but which may unfavorably increase susceptibility to autoimmune disease. Here, we investigated whether patients with psoriasis, a common immune-mediated disease of the skin, are enriched for genetic variants that limit the ability of HIV-1 virus to replicate after infection. We analyzed the HLA class I and class II alleles of 1,727 Caucasian psoriasis cases and 3,581 controls and found that psoriasis patients are significantly more likely than controls to have gene variants that are protective against HIV-1 disease. This includes several HLA class I alleles associated with HIV-1 control; amino acid residues at HLA-B positions 67, 70, and 97 that mediate HIV-1 peptide binding; and the deletion polymorphism rs67384697 associated with high surface expression of HLA-C. We also found that the compound genotype KIR3DS1 plus HLA-B Bw4-80I, which respectively encode a natural killer cell activating receptor and its putative ligand, significantly increased psoriasis susceptibility. This compound genotype has also been associated with delay of progression to AIDS. Together, our results suggest that genetic variants that contribute to anti-viral immunity may predispose to the development of psoriasis.
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Affiliation(s)
- Haoyan Chen
- Department of Dermatology, University of California San Francisco, San Francisco, California, United States of America
| | - Genki Hayashi
- Department of Dermatology, University of California San Francisco, San Francisco, California, United States of America
| | - Olivia Y. Lai
- Department of Dermatology, University of California San Francisco, San Francisco, California, United States of America
| | - Alexander Dilthey
- Department of Statistics, University of Oxford, Oxford, United Kingdom
| | - Peter J. Kuebler
- Division of Experimental Medicine, University of California San Francisco, San Francisco, California, United States of America
| | - Tami V. Wong
- Department of Dermatology, University of California San Francisco, San Francisco, California, United States of America
| | - Maureen P. Martin
- Cancer and Inflammation Program, Laboratory of Experimental Immunology, National Cancer Institute, Frederick, Maryland, United States of America
| | | | - Gil McVean
- Department of Statistics, University of Oxford, Oxford, United Kingdom
| | - Matthias Wabl
- Department of Microbiology and Immunology, University of California San Francisco, San Francisco, California, United States of America
| | - Kieron S. Leslie
- Department of Dermatology, University of California San Francisco, San Francisco, California, United States of America
| | - Toby Maurer
- Department of Dermatology, University of California San Francisco, San Francisco, California, United States of America
| | - Jeffrey N. Martin
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California, United States of America
| | - Steven G. Deeks
- HIV/AIDS Program, Department of Medicine, University of California San Francisco, San Francisco, California, United States of America
| | - Mary Carrington
- Cancer and Inflammation Program, Laboratory of Experimental Immunology, National Cancer Institute, Frederick, Maryland, United States of America
| | - Anne M. Bowcock
- Division of Human Genetics, Department of Genetics, Washington University School of Medicine, Saint Louis, Missouri, United States of America
| | - Douglas F. Nixon
- Division of Experimental Medicine, University of California San Francisco, San Francisco, California, United States of America
| | - Wilson Liao
- Department of Dermatology, University of California San Francisco, San Francisco, California, United States of America
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252
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Guha S, Rosenfeld JA, Malhotra AK, Lee AT, Gregersen PK, Kane JM, Pe'er I, Darvasi A, Lencz T. Implications for health and disease in the genetic signature of the Ashkenazi Jewish population. Genome Biol 2012; 13:R2. [PMID: 22277159 PMCID: PMC3334583 DOI: 10.1186/gb-2012-13-1-r2] [Citation(s) in RCA: 46] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2011] [Revised: 01/13/2012] [Accepted: 01/25/2012] [Indexed: 11/11/2022] Open
Abstract
BACKGROUND Relatively small, reproductively isolated populations with reduced genetic diversity may have advantages for genomewide association mapping in disease genetics. The Ashkenazi Jewish population represents a unique population for study based on its recent (< 1,000 year) history of a limited number of founders, population bottlenecks and tradition of marriage within the community. We genotyped more than 1,300 Ashkenazi Jewish healthy volunteers from the Hebrew University Genetic Resource with the Illumina HumanOmni1-Quad platform. Comparison of the genotyping data with that of neighboring European and Asian populations enabled the Ashkenazi Jewish-specific component of the variance to be characterized with respect to disease-relevant alleles and pathways. RESULTS Using clustering, principal components, and pairwise genetic distance as converging approaches, we identified an Ashkenazi Jewish-specific genetic signature that differentiated these subjects from both European and Middle Eastern samples. Most notably, gene ontology analysis of the Ashkenazi Jewish genetic signature revealed an enrichment of genes functioning in transepithelial chloride transport, such as CFTR, and in equilibrioception, potentially shedding light on cystic fibrosis, Usher syndrome and other diseases over-represented in the Ashkenazi Jewish population. Results also impact risk profiles for autoimmune and metabolic disorders in this population. Finally, residual intra-Ashkenazi population structure was minimal, primarily determined by class 1 MHC alleles, and not related to host country of origin. CONCLUSIONS The Ashkenazi Jewish population is of potential utility in disease-mapping studies due to its relative homogeneity and distinct genomic signature. Results suggest that Ashkenazi-associated disease genes may be components of population-specific genomic differences in key functional pathways.
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Affiliation(s)
- Saurav Guha
- Department of Psychiatry, Division of Research, The Zucker Hillside Hospital Division of the North Shore - Long Island Jewish Health System, 75-59, 263rd St Glen Oaks, NY 11004, USA
| | - Jeffrey A Rosenfeld
- Department of Psychiatry, Division of Research, The Zucker Hillside Hospital Division of the North Shore - Long Island Jewish Health System, 75-59, 263rd St Glen Oaks, NY 11004, USA
| | - Anil K Malhotra
- Department of Psychiatry, Division of Research, The Zucker Hillside Hospital Division of the North Shore - Long Island Jewish Health System, 75-59, 263rd St Glen Oaks, NY 11004, USA
- Center for Psychiatric Neuroscience, The Feinstein Institute for Medical Research, 350 Community Drive, Manhasset, NY 11030, USA
- Department of Psychiatry and Behavioral Science, Albert Einstein College of Medicine of Yeshiva University, 1300 Morris Park Ave, Bronx, NY 10461, USA
- Department of Psychiatry, Hofstra University School of Medicine, Hempstead, NY 11549, USA
- Department of Molecular Medicine, Hofstra University School of Medicine, Hempstead, NY 11549, USA
| | - Annette T Lee
- Robert S Boas Center for Human Genetics and Genomics, The Feinstein Institute for Medical Research, 350 Community Drive, Manhasset, NY 11030, USA
| | - Peter K Gregersen
- Department of Molecular Medicine, Hofstra University School of Medicine, Hempstead, NY 11549, USA
- Robert S Boas Center for Human Genetics and Genomics, The Feinstein Institute for Medical Research, 350 Community Drive, Manhasset, NY 11030, USA
| | - John M Kane
- Department of Psychiatry, Division of Research, The Zucker Hillside Hospital Division of the North Shore - Long Island Jewish Health System, 75-59, 263rd St Glen Oaks, NY 11004, USA
- Center for Psychiatric Neuroscience, The Feinstein Institute for Medical Research, 350 Community Drive, Manhasset, NY 11030, USA
- Department of Psychiatry and Behavioral Science, Albert Einstein College of Medicine of Yeshiva University, 1300 Morris Park Ave, Bronx, NY 10461, USA
- Department of Psychiatry, Hofstra University School of Medicine, Hempstead, NY 11549, USA
- Department of Molecular Medicine, Hofstra University School of Medicine, Hempstead, NY 11549, USA
| | - Itsik Pe'er
- Department of Computer Science, Columbia University, 500 W 120th St New York, NY 10027, USA
| | - Ariel Darvasi
- Department of Genetics The Institute of Life Sciences, The Hebrew University of Jerusalem, Givat Ram, Jerusalem, 91904, Israel
| | - Todd Lencz
- Department of Psychiatry, Division of Research, The Zucker Hillside Hospital Division of the North Shore - Long Island Jewish Health System, 75-59, 263rd St Glen Oaks, NY 11004, USA
- Center for Psychiatric Neuroscience, The Feinstein Institute for Medical Research, 350 Community Drive, Manhasset, NY 11030, USA
- Department of Psychiatry and Behavioral Science, Albert Einstein College of Medicine of Yeshiva University, 1300 Morris Park Ave, Bronx, NY 10461, USA
- Department of Psychiatry, Hofstra University School of Medicine, Hempstead, NY 11549, USA
- Department of Molecular Medicine, Hofstra University School of Medicine, Hempstead, NY 11549, USA
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253
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Ballana E, Ruiz-de Andres A, Mothe B, Ramirez de Arellano E, Aguilar F, Badia R, Grau E, Clotet B, del Val M, Brander C, Esté JA. Differential prevalence of the HLA-C -- 35 CC genotype among viremic long term non-progressor and elite controller HIV+ individuals. Immunobiology 2012; 217:889-94. [PMID: 22333575 DOI: 10.1016/j.imbio.2011.12.012] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2011] [Revised: 12/27/2011] [Accepted: 12/30/2011] [Indexed: 01/11/2023]
Abstract
Susceptibility to HIV infection and disease progression are complex traits modulated by environmental and genetic factors, affecting innate and adaptive immune responses, among other cellular processes. A single nucleotide polymorphism (SNP) 35 kb upstream of the HLA-C gene locus (-35C/T) was previously shown to correlate with increased HLA-C expression and improved control of HIV-1. Here, we genotyped the -35C/T SNP in 639 subjects (180 uninfected patients, 304 HIV progressors and 155 LTNP) and confirmed the association of the -35C/T variant with the LTNP phenotype. The genotype frequencies in the general population subjects did not differ significantly from those seen in HIV progressors (p-value=0.472). However, a significant higher frequency of the protective CC genotype was identified when LTNP were compared either with HIV progressors alone (p-value<0.0001) or progressors and uninfected subjects together (p-value<0.0001). When considering aviremic LTNP alone (elite controllers; viral load below 50 copies/ml), the -35 CC genotype was not overrepresented compared to HIV progressors. Conversely, a significant association was found with the viremic LTNP groups (viral loads below 10,000 copies/ml). These results suggest that other factors alone or in combination with the -35 CC genotype may play an important role in differentiating the elite controller status from LTNP. Combination of different genetic variants may have additive or epistatic effects determining the HIV course of infection.
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Affiliation(s)
- Ester Ballana
- IrsiCaixa-HIVACAT, Hospital Universitari Germans Trias i Pujol, Universitat Autònoma de Barcelona, Badalona, Spain
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254
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Ansari AA, Mayne AE, Takahashi Y, Pattanapanyasat K. Incorporation of innate immune effector mechanisms in the formulation of a vaccine against HIV-1. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2012; 780:143-59. [PMID: 21842371 DOI: 10.1007/978-1-4419-5632-3_12] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
The realization of a major role for events that occur during acute viremia that dictate the course of disease both in HIV-1 infected humans and susceptible SIV infected non-human primates has prompted an intense interest in studies of the contribution of innate immune effector mechanisms. It is reasoned that findings from such studies may be important and need to be incorporated into the design and formulation of potential candidate vaccines against HIV-1. This review serves to outline the various non-human primate models that can best serve to address this issue, a summary of our knowledge on the various subsets of NK cells (one of the major innate immune cell lineage) that have an impact on the course of disease, the potential pathways that regulate their function and the potential role of the KIRs on SIV-induced disease course. Finally, the major points from this report and the data presented on similar subjects by other investigators is utilized to provide a summary of the potential future directions that we need to take in efforts to move this field forward.
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Affiliation(s)
- Aftab A Ansari
- Department of Pathology, Emory University School of Medicine, Atlanta, GA 30322, USA.
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255
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Raghavan S, Alagarasu K, Selvaraj P. Immunogenetics of HIV and HIV associated tuberculosis. Tuberculosis (Edinb) 2012; 92:18-30. [PMID: 21943869 DOI: 10.1016/j.tube.2011.08.004] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2011] [Accepted: 08/08/2011] [Indexed: 11/28/2022]
Affiliation(s)
- S Raghavan
- Department of Immunology, Tuberculosis Research Centre (ICMR), Mayor V.R. Ramanathan Road, Chetput, Chennai 600031, India
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256
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Abstract
Host genetic variation is presently estimated to account for about one-fourth of the observed differences in control of HIV across infected individuals. Genome-wide association studies have confirmed that polymorphism within the HLA class I locus is the primary host genetic contributor to determining outcome after infection. Here we progress beyond the genetic associations alone to consider the functional explanations for these correlations. In this process, the complex and multidimensional effects of HLA molecules in viral disease become apparent.
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Affiliation(s)
- Mary Carrington
- Cancer and Inflammation Program, Laboratory of Experimental Immunology, SAIC–Frederick, Inc., NCI–Frederick, Frederick, Maryland 20882;
- Ragon Institute of MGH, MIT and Harvard, Boston, Massachusetts 02114;
| | - Bruce D. Walker
- Ragon Institute of MGH, MIT and Harvard, Boston, Massachusetts 02114;
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257
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Goulder PJR, Prendergast AJ. Approaches towards avoiding lifelong antiretroviral therapy in paediatric HIV infection. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2012; 719:25-37. [PMID: 22125032 DOI: 10.1007/978-1-4614-0204-6_3] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
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258
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Kloverpris HN, Stryhn A, Harndahl M, van der Stok M, Payne RP, Matthews PC, Chen F, Riddell L, Walker BD, Ndung'u T, Buus S, Goulder P. HLA-B*57 Micropolymorphism shapes HLA allele-specific epitope immunogenicity, selection pressure, and HIV immune control. J Virol 2012; 86:919-29. [PMID: 22090105 PMCID: PMC3255844 DOI: 10.1128/jvi.06150-11] [Citation(s) in RCA: 63] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
The genetic polymorphism that has the greatest impact on immune control of human immunodeficiency virus (HIV) infection is expression of HLA-B*57. Understanding of the mechanism for this strong effect remains incomplete. HLA-B*57 alleles and the closely related HLA-B*5801 are often grouped together because of their similar peptide-binding motifs and HIV disease outcome associations. However, we show here that the apparently small differences between HLA-B*57 alleles, termed HLA-B*57 micropolymorphisms, have a significant impact on immune control of HIV. In a study cohort of >2,000 HIV C-clade-infected subjects from southern Africa, HLA-B*5703 is associated with a lower viral-load set point than HLA-B*5702 and HLA-B*5801 (medians, 5,980, 15,190, and 19,000 HIV copies/ml plasma; P = 0.24 and P = 0.0005). In order to better understand these observed differences in HLA-B*57/5801-mediated immune control of HIV, we undertook, in a study of >1,000 C-clade-infected subjects, a comprehensive analysis of the epitopes presented by these 3 alleles and of the selection pressure imposed on HIV by each response. In contrast to previous studies, we show that each of these three HLA alleles is characterized both by unique CD8(+) T-cell specificities and by clear-cut differences in selection pressure imposed on the virus by those responses. These studies comprehensively define for the first time the CD8(+) T-cell responses and immune selection pressures for which these protective alleles are responsible. These findings are consistent with HLA class I alleles mediating effective immune control of HIV through the number of p24 Gag-specific CD8(+) T-cell responses generated that can drive significant selection pressure on the virus.
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Affiliation(s)
- Henrik N Kloverpris
- Department of Paediatrics, University of Oxford, Peter Medawar Building, Oxford, United Kingdom.
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259
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Lingappa JR, Petrovski S, Kahle E, Fellay J, Shianna K, McElrath MJ, Thomas KK, Baeten JM, Celum C, Wald A, de Bruyn G, Mullins JI, Nakku-Joloba E, Farquhar C, Essex M, Donnell D, Kiarie J, Haynes B, Goldstein D. Genomewide association study for determinants of HIV-1 acquisition and viral set point in HIV-1 serodiscordant couples with quantified virus exposure. PLoS One 2011; 6:e28632. [PMID: 22174851 PMCID: PMC3236203 DOI: 10.1371/journal.pone.0028632] [Citation(s) in RCA: 73] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2011] [Accepted: 11/11/2011] [Indexed: 12/05/2022] Open
Abstract
BACKGROUND Host genetic factors may be important determinants of HIV-1 sexual acquisition. We performed a genome-wide association study (GWAS) for host genetic variants modifying HIV-1 acquisition and viral control in the context of a cohort of African HIV-1 serodiscordant heterosexual couples. To minimize misclassification of HIV-1 risk, we quantified HIV-1 exposure, using data including plasma HIV-1 concentrations, gender, and condom use. METHODS We matched couples without HIV-1 seroconversion to those with seroconversion by quantified HIV-1 exposure risk. Logistic regression of single nucleotide polymorphisms (SNPs) for 798 samples from 496 HIV-1 infected and 302 HIV-1 exposed, uninfected individuals was performed to identify factors associated with HIV-1 acquisition. In addition, a linear regression analysis was performed using SNP data from a subset (n = 403) of HIV-1 infected individuals to identify factors predicting plasma HIV-1 concentrations. RESULTS After correcting for multiple comparisons, no SNPs were significantly associated with HIV-1 infection status or plasma HIV-1 concentrations. CONCLUSION This GWAS controlling for HIV-1 exposure did not identify common host genotypes influencing HIV-1 acquisition. Alternative strategies, such as large-scale sequencing to identify low frequency variation, should be considered for identifying novel host genetic predictors of HIV-1 acquisition.
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Affiliation(s)
- Jairam R Lingappa
- Department of Global Health, University of Washington, Seattle, Washington, United States of America.
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260
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Miró JM, Manzardo C, Zamora L, Pumarola T, Herreras Z, Gallart T, Gatell JM. Manejo clínico de la infección aguda y crónica por el virus de la inmunodeficiencia humana antes del inicio del tratamiento antirretroviral. Enferm Infecc Microbiol Clin 2011; 29:759-72. [DOI: 10.1016/j.eimc.2011.10.009] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2011] [Accepted: 10/20/2011] [Indexed: 10/15/2022]
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261
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Rising HIV-1 viral load set point at a population level coincides with a fading impact of host genetic factors on HIV-1 control. AIDS 2011; 25:2217-26. [PMID: 21860345 DOI: 10.1097/qad.0b013e32834bec9c] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
OBJECTIVE Heterozygosity for a 32 base pair deletion in the CCR5 gene (CCR5wt/Δ32) and the minor alleles of a single-nucleotide polymorphism in the HCP5 gene (rs2395029) and in the HLA-C gene region (-35HLA-C; rs9264942) has been associated with a lower viral load set point. Recent studies have shown that over calendar time, viral load set point has significantly increased at a population level. Here we studied whether this increase coincides with a fading impact of above-mentioned host genetic markers on HIV-1 control. METHODS We compared the association between viral load set point and HCP5 rs2395029, -35HLA-C rs9264942, and the CCR5wt/Δ32 genotype in HIV-1-infected individuals in the Netherlands who had seroconverted between 1982 and 2002 (pre-2003 seroconverters, n = 459) or between 2003 and 2009 (post-2003 seroconverters, n = 231). RESULTS Viral load set point in post-2003 seroconverters was significantly higher than in pre-2003 seroconverters (P = 4.5 × 10(-5)). The minor alleles for HCP5 rs2395029, -35HLA-C rs9264942 and CCR5wt/Δ32 had a similar prevalence in both groups and were all individually associated with a significantly lower viral load set point in pre-2003 seroconverters. In post-2003 seroconverters, this association was no longer observed for HCP5 rs2395029 and CCR5wt/Δ32. The association between viral load set point and HCP5 rs2395029 had significantly changed over time, whereas the change in impact of the CCR5wt/Δ32 genotype over calendar time was not independent from the other markers under study. CONCLUSION The increased viral load set point at a population level coincides with a lost impact of certain host genetic factors on HIV-1 control.
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262
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Abstract
Recently, genome-wide association studies have identified the major histocompatibility complex class I protein HLA-C as an important molecule that affects HIV disease progression. The association between HLA-C and HIV disease outcome was originally determined through a single nucleotide polymorphism (SNP) 35 kb upstream of the HLA-C locus. More recent work has focused on elucidating the functional significance of the -35 SNP, and several groups now have demonstrated HLA-C surface expression to be a key element in control of HIV viral load, with higher surface expression associating with slower disease progression. Most recently, control of HLA-C surface expression has been correlated with the presence of microRNA binding sites that affect HLA-C expression and control of HIV disease. This review highlights these results and explores the ways in which HLA-C surface expression could affect immune system function in the setting of HIV disease.
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Affiliation(s)
- Deanna A Kulpa
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA.
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263
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Pelak K, Need AC, Fellay J, Shianna KV, Feng S, Urban TJ, Ge D, De Luca A, Martinez-Picado J, Wolinsky SM, Martinson JJ, Jamieson BD, Bream JH, Martin MP, Borrow P, Letvin NL, McMichael AJ, Haynes BF, Telenti A, Carrington M, Goldstein DB, Alter G. Copy number variation of KIR genes influences HIV-1 control. PLoS Biol 2011; 9:e1001208. [PMID: 22140359 PMCID: PMC3226550 DOI: 10.1371/journal.pbio.1001208] [Citation(s) in RCA: 120] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2011] [Accepted: 10/20/2011] [Indexed: 11/19/2022] Open
Abstract
A genome-wide screen for large structural variants showed that a copy number variant (CNV) in the region encoding killer cell immunoglobulin-like receptors (KIR) associates with HIV-1 control as measured by plasma viral load at set point in individuals of European ancestry. This CNV encompasses the KIR3DL1-KIR3DS1 locus, encoding receptors that interact with specific HLA-Bw4 molecules to regulate the activation of lymphocyte subsets including natural killer (NK) cells. We quantified the number of copies of KIR3DS1 and KIR3DL1 in a large HIV-1 positive cohort, and showed that an increase in KIR3DS1 count associates with a lower viral set point if its putative ligand is present (p = 0.00028), as does an increase in KIR3DL1 count in the presence of KIR3DS1 and appropriate ligands for both receptors (p = 0.0015). We further provide functional data that demonstrate that NK cells from individuals with multiple copies of KIR3DL1, in the presence of KIR3DS1 and the appropriate ligands, inhibit HIV-1 replication more robustly, and associated with a significant expansion in the frequency of KIR3DS1+, but not KIR3DL1+, NK cells in their peripheral blood. Our results suggest that the relative amounts of these activating and inhibitory KIR play a role in regulating the peripheral expansion of highly antiviral KIR3DS1+ NK cells, which may determine differences in HIV-1 control following infection.
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Affiliation(s)
- Kimberly Pelak
- Center for Human Genome Variation, Duke University School of Medicine, Durham, North Carolina, United States of America
| | - Anna C. Need
- Center for Human Genome Variation, Duke University School of Medicine, Durham, North Carolina, United States of America
| | - Jacques Fellay
- Center for Human Genome Variation, Duke University School of Medicine, Durham, North Carolina, United States of America
- Global Health Institute, School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Kevin V. Shianna
- Center for Human Genome Variation, Duke University School of Medicine, Durham, North Carolina, United States of America
| | - Sheng Feng
- Department of Biostatistics and Bioinformatics, Duke University, Durham, North Carolina, United States of America
| | - Thomas J. Urban
- Center for Human Genome Variation, Duke University School of Medicine, Durham, North Carolina, United States of America
| | - Dongliang Ge
- Center for Human Genome Variation, Duke University School of Medicine, Durham, North Carolina, United States of America
| | - Andrea De Luca
- Institute of Clinical Infectious Diseases, Catholic University of the Sacred Heart, Rome, Italy
- Division of Infectious Diseases, Siena University Hospital, Siena, Italy
| | - Javier Martinez-Picado
- irsiCaixa Foundation and Hospital Germans Trias i Pujol, Badalona, Spain
- Institució Catalana de Recerca i Estudis Avançats, Barcelona, Spain
| | - Steven M. Wolinsky
- Division of Infectious Diseases, Northwestern University Feinberg School of Medicine, Chicago, Illinois, United States of America
| | - Jeremy J. Martinson
- Infectious Diseases and Microbiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
| | - Beth D. Jamieson
- Department of Medicine, David Geffen School of Medicine, University of California–Los Angeles, Los Angeles, California, United States of America
| | - Jay H. Bream
- Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
| | - Maureen P. Martin
- Cancer and Inflammation Program, Laboratory of Experimental Immunology, SAIC-Frederick, Inc., NCI-Frederick, Frederick, Maryland, United States of America
| | - Persephone Borrow
- Nuffield Department of Clinical Medicine, University of Oxford and Weatherall Institute of Molecular Medicine, John Radcliffe Hospital, Headington, Oxford, United Kingdom
| | - Norman L. Letvin
- Division of Viral Pathogenesis, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Andrew J. McMichael
- Medical Research Council Human Immunology Unit, Weatherall Institute of Molecular Medicine, John Radcliffe Hospital, Oxford, United Kingdom
| | - Barton F. Haynes
- Duke Human Vaccine Institute, Duke University, Durham, North Carolina, United States of America
| | - Amalio Telenti
- Institute of Microbiology, University Hospital Center; and University of Lausanne, Lausanne, Switzerland
| | - Mary Carrington
- Department of Medicine, David Geffen School of Medicine, University of California–Los Angeles, Los Angeles, California, United States of America
- Ragon Institute of MGH, MIT and Harvard, Boston, Massachusetts, United States of America
| | - David B. Goldstein
- Center for Human Genome Variation, Duke University School of Medicine, Durham, North Carolina, United States of America
| | - Galit Alter
- Ragon Institute of MGH, MIT and Harvard, Boston, Massachusetts, United States of America
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Transmission selects for HIV-1 strains of intermediate virulence: a modelling approach. PLoS Comput Biol 2011; 7:e1002185. [PMID: 22022243 PMCID: PMC3192807 DOI: 10.1371/journal.pcbi.1002185] [Citation(s) in RCA: 33] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2011] [Accepted: 07/20/2011] [Indexed: 01/28/2023] Open
Abstract
Recent data shows that HIV-1 is characterised by variation in viral virulence factors that is heritable between infections, which suggests that viral virulence can be naturally selected at the population level. A trade-off between transmissibility and duration of infection appears to favour viruses of intermediate virulence. We developed a mathematical model to simulate the dynamics of putative viral genotypes that differ in their virulence. As a proxy for virulence, we use set-point viral load (SPVL), which is the steady density of viral particles in blood during asymptomatic infection. Mutation, the dependency of survival and transmissibility on SPVL, and host effects were incorporated into the model. The model was fitted to data to estimate unknown parameters, and was found to fit existing data well. The maximum likelihood estimates of the parameters produced a model in which SPVL converged from any initial conditions to observed values within 100–150 years of first emergence of HIV-1. We estimated the 1) host effect and 2) the extent to which the viral virulence genotype mutates from one infection to the next, and found a trade-off between these two parameters in explaining the variation in SPVL. The model confirms that evolution of virulence towards intermediate levels is sufficiently rapid for it to have happened in the early stages of the HIV epidemic, and confirms that existing viral loads are nearly optimal given the assumed constraints on evolution. The model provides a useful framework under which to examine the future evolution of HIV-1 virulence. Recent studies have suggested that virulence in HIV-1 is partly a characteristic of the virus which is carried from one infection to the next. An infection with intermediate virulence will produce more transmissions during the infectious lifetime because it optimises the trade-off between rate of transmission and duration of infection. Natural selection acts on the heritable variation to increase the relative prevalence of strains with intermediate virulence. In this study we model the evolution of virulence in the viral population as these more successful strains are preferentially transmitted. We fit this model to data from transmitting couples, and find that the model fits the data well. We use this fit to estimate the contribution of the host and the virus to virulence, which complements recent estimates of the heritability of virulence. We also estimate the rate at which the viral determinants of virulence evolve between infections, and this provides predictions for how rapidly the virulence of HIV-1 evolves in a population. We suggest that natural selection on transmissibility results in substantial evolution of virulence in the population. This is sufficiently rapid for virulence to have reached current levels over the available timescale of the human epidemic.
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265
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Siddiqui RA, Krawczak M, Platzer M, Sauermann U. Association of TLR7 variants with AIDS-like disease and AIDS vaccine efficacy in rhesus macaques. PLoS One 2011; 6:e25474. [PMID: 22022401 PMCID: PMC3192768 DOI: 10.1371/journal.pone.0025474] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2011] [Accepted: 09/05/2011] [Indexed: 02/07/2023] Open
Abstract
In HIV infection, TLR7-triggered IFN-α production exerts a direct antiviral effect through the inhibition of viral replication, but may also be involved in immune pathogenesis leading to AIDS. TLR7 could also be an important mediator of vaccine efficacy. In this study, we analyzed polymorphisms in the X-linked TLR7 gene in the rhesus macaque model of AIDS. Upon resequencing of the TLR7 gene in 36 rhesus macaques of Indian origin, 12 polymorphic sites were detected. Next, we identified three tightly linked single nucleotide polymorphisms (SNP) as being associated with survival time. Genotyping of 119 untreated, simian immunodeficiency virus (SIV)-infected male rhesus macaques, including an 'MHC adjusted' subset, revealed that the three TLR7 SNPs are also significantly associated with set-point viral load. Surprisingly, this effect was not observed in 72 immunized SIV-infected male monkeys. We hypothesize (i) that SNP c.13G>A in the leader peptide is causative for the observed genotype-phenotype association and that (ii) the underlying mechanism is related to RNA secondary structure formation. Therefore, we investigated a fourth SNP (c.-17C>T), located 17 bp upstream of the ATG translation initiation codon, that is also potentially capable of influencing RNA structure. In c.13A carriers, neither set-point viral load nor survival time were related to the c.-17C>T genotype. In c.13G carriers, by contrast, the c.-17C allele was significantly associated with prolonged survival. Again, no such association was detected among immunized SIV-infected macaques. Our results highlight the dual role of TLR7 in immunodeficiency virus infection and vaccination and imply that it may be important to control human AIDS vaccine trials, not only for MHC genotype, but also for TLR7 genotype.
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Affiliation(s)
- Roman A. Siddiqui
- German Primate Center, Leibniz Institute for Primate Research, Göttingen, Germany
- Genome Analysis, Leibniz Institute for Age Research–Fritz Lipmann Institute, Jena, Germany
| | - Michael Krawczak
- Institute of Medical Informatics and Statistics, Christian–Albrechts University, Kiel, Germany
| | - Matthias Platzer
- Genome Analysis, Leibniz Institute for Age Research–Fritz Lipmann Institute, Jena, Germany
| | - Ulrike Sauermann
- German Primate Center, Leibniz Institute for Primate Research, Göttingen, Germany
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266
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Newport MJ, Finan C. Genome-wide association studies and susceptibility to infectious diseases. Brief Funct Genomics 2011; 10:98-107. [PMID: 21436306 DOI: 10.1093/bfgp/elq037] [Citation(s) in RCA: 47] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
Progress in genomics and the associated technological, statistical and bioinformatics advances have facilitated the successful implementation of genome-wide association studies (GWAS) towards understanding the genetic basis of common diseases. Infectious diseases contribute significantly to the global burden of disease and there is robust epidemiological evidence that host genetic factors are important determinants of the outcome of interactions between host and pathogen. Indeed, infectious diseases have exerted profound selective pressure on human evolution. However, the application of GWAS to infectious diseases has been relatively limited compared with non-communicable diseases. Here we review GWAS findings for important infectious diseases, including malaria, tuberculosis and HIV. We highlight some of the pitfalls recognized more generally for GWAS, as well as issues specific to infection, including the role of the pathogen which also has a genome. We also discuss the challenges encountered when studying African populations which are genetically more ancient and more diverse that other populations and disproportionately bear the main global burden of serious infectious diseases.
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Affiliation(s)
- Melanie J Newport
- Infectious Diseases and Global Health at Brighton and Sussex Medical School, UK.
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267
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Raistrick CA, Alharbi KK, Day INM, Gaunt TR. Analysis of Potential Genomic Confounding in Genetic Association Studies and an Online Genomic Confounding Browser (GCB). Ann Hum Genet 2011; 75:723-31. [DOI: 10.1111/j.1469-1809.2011.00677.x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
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268
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An P, Li R, Wang JM, Yoshimura T, Takahashi M, Samudralal R, O'Brien SJ, Phair J, Goedert JJ, Kirk GD, Troyer JL, Sezgin E, Buchbinder SP, Donfield S, Nelson GW, Winkler CA. Role of exonic variation in chemokine receptor genes on AIDS: CCRL2 F167Y association with pneumocystis pneumonia. PLoS Genet 2011; 7:e1002328. [PMID: 22046140 PMCID: PMC3203199 DOI: 10.1371/journal.pgen.1002328] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2011] [Accepted: 08/03/2011] [Indexed: 02/04/2023] Open
Abstract
Chromosome 3p21-22 harbors two clusters of chemokine receptor genes, several of which serve as major or minor coreceptors of HIV-1. Although the genetic association of CCR5 and CCR2 variants with HIV-1 pathogenesis is well known, the role of variation in other nearby chemokine receptor genes remain unresolved. We genotyped exonic single nucleotide polymorphisms (SNPs) in chemokine receptor genes: CCR3, CCRL2, and CXCR6 (at 3p21) and CCR8 and CX3CR1 (at 3p22), the majority of which were non-synonymous. The individual SNPs were tested for their effects on disease progression and outcomes in five treatment-naïve HIV-1/AIDS natural history cohorts. In addition to the known CCR5 and CCR2 associations, significant associations were identified for CCR3, CCR8, and CCRL2 on progression to AIDS. A multivariate survival analysis pointed to a previously undetected association of a non-conservative amino acid change F167Y in CCRL2 with AIDS progression: 167F is associated with accelerated progression to AIDS (RH = 1.90, P = 0.002, corrected). Further analysis indicated that CCRL2-167F was specifically associated with more rapid development of pneumocystis pneumonia (PCP) (RH = 2.84, 95% CI 1.28-6.31) among four major AIDS-defining conditions. Considering the newly defined role of CCRL2 in lung dendritic cell trafficking, this atypical chemokine receptor may affect PCP through immune regulation and inducing inflammation.
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MESH Headings
- Acquired Immunodeficiency Syndrome/complications
- Chromosomes, Human, Pair 3/genetics
- Cohort Studies
- Disease Progression
- Exons
- Genetic Association Studies
- HEK293 Cells
- HIV-1
- Humans
- Linkage Disequilibrium
- Pneumonia, Pneumocystis/etiology
- Pneumonia, Pneumocystis/genetics
- Polymorphism, Single Nucleotide
- Receptors, CCR/chemistry
- Receptors, CCR/genetics
- Receptors, CCR3/genetics
- Receptors, CCR8/genetics
- Receptors, CXCR6
- Receptors, Chemokine/genetics
- Receptors, Virus/genetics
- Survival Analysis
- Treatment Outcome
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Affiliation(s)
- Ping An
- Basic Research Laboratory, SAIC–Frederick, National Cancer Institute–Frederick, Frederick, Maryland, United States of America
| | - Rongling Li
- Office of Population Genomics, National Human Genome Research Institute, Bethesda, Maryland, United States of America
| | - Ji Ming Wang
- Laboratory of Molecular Immunoregulation, National Cancer Institute–Frederick, Frederick, Maryland, United States of America
| | - Teizo Yoshimura
- Laboratory of Molecular Immunoregulation, National Cancer Institute–Frederick, Frederick, Maryland, United States of America
| | - Munehisa Takahashi
- Laboratory of Molecular Immunoregulation, National Cancer Institute–Frederick, Frederick, Maryland, United States of America
| | - Ram Samudralal
- Department of Microbiology, University of Washington School of Medicine, Seattle, Washington, United States of America
| | - Stephen J. O'Brien
- Laboratory of Genomic Diversity, National Cancer Institute–Frederick, Frederick, Maryland, United States of America
| | - John Phair
- Division of Infectious Diseases, Feinberg School of Medicine, Northwestern University Medical School, Chicago, Illinois, United States of America
| | - James J. Goedert
- Infections and Immunoepidemiology Branch, National Cancer Institute, Bethesda, Maryland, United States of America
| | - Gregory D. Kirk
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
| | - Jennifer L. Troyer
- BSP/CCR Genetics Core, SAIC–Frederick, National Cancer Institute–Frederick, Frederick, Maryland, United States of America
| | - Efe Sezgin
- Laboratory of Genomic Diversity, National Cancer Institute–Frederick, Frederick, Maryland, United States of America
| | - Susan P. Buchbinder
- San Francisco Department of Public Health, San Francisco, California, United States of America
| | | | - George W. Nelson
- BSP/CCR Genetics Core, SAIC–Frederick, National Cancer Institute–Frederick, Frederick, Maryland, United States of America
| | - Cheryl A. Winkler
- Basic Research Laboratory, SAIC–Frederick, National Cancer Institute–Frederick, Frederick, Maryland, United States of America
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269
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What did we learn on host's genetics by studying large cohorts of HIV-1-infected patients in the genome-wide association era? Curr Opin HIV AIDS 2011; 6:290-6. [PMID: 21546832 DOI: 10.1097/coh.0b013e3283478449] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
PURPOSE OF REVIEW Genome-wide association studies (GWASs) performed in large cohorts of HIV-1-infected patients have shown that high throughput genomics can add valuable information in understanding disease progression. We report recent information gathered in the international field during the last few years and revisit the importance of well documented cohorts for genotype-phenotype association studies. RECENT FINDINGS The majority of GWASs in the HIV-1 field found that viral loads and disease progression are under the control of variants located in the major histocompatibility complex (MHC) in untreated patients. Although these experiments brought a new and more objective vision of genotype-phenotype correlations in HIV-1 disease, they also pointed out that less than 15% of the observed phenotypic variability can be explained as common genetic variants. Most of the studies have included mainly white patients and the few studies performed in Africans are underpowered but suggest that MHC is probably not the only genetic determinant influencing disease progression in this population. SUMMARY Although the first results of the GWASs in HIV disease look as a confirmation of previous findings, high throughput agnostic genomics entered the field of chronic infectious diseases and will probably unveil new genotype-phenotype associations in the future. Networks between existing cohorts leading to 'virtual mega-cohorts' will be necessary to increase the probability to discover new genetic pathways important for HIV disease. Finally, predictive models including genetic information for clinical usage is another challenge in HIV disease genetics.
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270
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A polymorphism in the leptin gene promoter is associated with anemia in patients with HIV disease. Blood 2011; 118:5401-8. [PMID: 21926355 DOI: 10.1182/blood-2011-06-362194] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
To study factors associated with anemia and its effect on survival in HIV-infected persons treated with modern combined antiretroviral therapy (cART), we characterized the prevalence of anemia in the Veterans Aging Cohort Study (VACS) and used a candidate gene approach to identify proinflammatory gene single nucleotide polymorphisms (SNPs) associated with anemia in HIV disease. The study comprised 1597 HIV(+) and 865 HIV(-) VACS subjects with DNA, blood, and annotated clinical data available for analysis. Anemia was defined according to World Health Organization criteria (hemoglobin < 13 g/dL and < 12 g/dL in men and women, respectively). The prevalence of anemia in HIV(+) and HIV(-) subjects was 23.1% and 12.9%, respectively. Independent of HIV status, anemia was present in 23.4% and 8% in blacks and whites, respectively. Analysis of our candidate genes revealed that the leptin -2548 G/A SNP was associated with anemia in HIV(+), but not HIV(-), patients, with the AA and AG genotypes significantly predicting anemia (P < .003 and P < .039, respectively, logistic regression). This association was replicated in an independent cohort of HIV(+) women. Our study provides novel insight into the association between genetic variability in the leptin gene and anemia in HIV(+) individuals.
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271
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Abstract
A detailed understanding of the cellular response to human immunodeficiency virus (HIV-1) infection is needed to inform prevention and therapeutic strategies that aim to contain the AIDS pandemic. The cellular immune response plays a critical role in reducing viral load in HIV-1 infection and in the nonhuman primate model of SIV infection. Much of this virus suppressive activity has been ascribed to CD8(+)T-cell-directed cytolysis of infected CD4(+)T cells. However, emerging evidence suggests that CD8(+)T cells can maintain a lowered viral burden through multiple mechanisms. A thorough understanding of the CD8(+)T-cell functions in HIV-1 infection that correlate with viral control, the populations responsible for these functions, and the elicitation and maintenance of these responses can provide guidance for vaccine design and potentially the development of new classes of antiretroviral therapies. In this review, we discuss the CD8(+)T-cell correlates of protection in HIV-1 and SIV infection and recent advances in this field.
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Affiliation(s)
- Stephanie A Freel
- Department of Surgery, Duke Human Vaccine Institute, Duke University Medical Center, Rm 113 SORF Building MSRBII, LaSalle St. Ext., Durham, NC 27710, USA
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Bol SM, Booiman T, Bunnik EM, Moerland PD, van Dort K, Strauss JF, Sieberer M, Schuitemaker H, Kootstra NA, van 't Wout AB. Polymorphism in HIV-1 dependency factor PDE8A affects mRNA level and HIV-1 replication in primary macrophages. Virology 2011; 420:32-42. [PMID: 21920574 DOI: 10.1016/j.virol.2011.08.013] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2011] [Revised: 04/27/2011] [Accepted: 08/18/2011] [Indexed: 12/29/2022]
Abstract
Four genome-wide RNAi screens have recently identified hundreds of HIV-1 dependency factors (HDFs). Previously, we reported a large variation in the ability of HIV-1 to replicate in monocyte-derived macrophages (MDM) derived from >400 healthy seronegative blood donors. Here we determined whether SNPs in genes encoding newly identified HDFs were associated with this variation in HIV-1 replication. We found a significant association between the minor allele of SNP rs2304418 in phosphodiesterase 8A (PDE8A) and lower HIV-1 replication (p=2.4×10(-6)). The minor allele of SNP rs2304418 was also significantly associated with lower PDE8A mRNA levels in MDM (p=8.3×10(-5)). In accordance with this, overexpression of PDE8A in HEK293T cells resulted in increased HIV-1 replication, while subsequent knock-down of PDE8A decreased replication. This study links host genetic variation in a newly identified HDF to variation in HIV-1 replication in a relevant primary target cell for HIV-1 and may provide new leads for treatment of this infection.
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Affiliation(s)
- Sebastiaan M Bol
- Department of Experimental Immunology, Sanquin Research, Landsteiner Laboratory and Center for Infection and Immunity at the Academic Medical Center of the University of Amsterdam, Amsterdam, The Netherlands
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Sobieszczyk ME, Lingappa JR, McElrath MJ. Host genetic polymorphisms associated with innate immune factors and HIV-1. Curr Opin HIV AIDS 2011; 6:427-34. [PMID: 21734565 DOI: 10.1097/coh.0b013e3283497155] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
PURPOSE OF REVIEW Our understanding of the early events in HIV-1 infection continues to grow, along with the heightened recognition of the important contribution that innate immunity plays in response to HIV-1. Here, we review the epidemiological and functional studies of genetic polymorphisms associated with innate immune factors that are believed to modulate host responses, focusing specifically on recent findings related to Toll-like receptor, cytokine, host restriction and KIR genes and their activities. RECENT FINDINGS A growing number of genomic studies have described polymorphisms in innate immune genes that are associated with early postseroconversion events, including TLR4, TLR9, IRF-3, TRIM5α and the ABOBEC3 gene family. Genetic and functional data confirm the importance of KIR-HLA interactions and provide new understanding of the role of innate restriction factors in resistance to HIV-1 and disease progression. SUMMARY Single-gene, genome-wide association and expression studies have permitted the identification of innate immune genes and their variants that contribute to protection from disease progression. Characterization of the pathogen-innate immune system interactions and discovery of new and rare host genetic variants that account for a portion of the observed variance in the HIV-1 phenotype is critical to gain new insights into promising treatment and prevention strategies.
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Affiliation(s)
- Magdalena E Sobieszczyk
- Department of Medicine, Columbia University College of Physicians and Surgeons, New York, New York, USA
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274
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van Manen D, Delaneau O, Kootstra NA, Boeser-Nunnink BD, Limou S, Bol SM, Burger JA, Zwinderman AH, Moerland PD, van 't Slot R, Zagury JF, van 't Wout AB, Schuitemaker H. Genome-wide association scan in HIV-1-infected individuals identifying variants influencing disease course. PLoS One 2011; 6:e22208. [PMID: 21811574 PMCID: PMC3141012 DOI: 10.1371/journal.pone.0022208] [Citation(s) in RCA: 36] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2011] [Accepted: 06/17/2011] [Indexed: 01/20/2023] Open
Abstract
Background AIDS develops typically after 7–11 years of untreated HIV-1 infection, with extremes of very rapid disease progression (<2 years) and long-term non-progression (>15 years). To reveal additional host genetic factors that may impact on the clinical course of HIV-1 infection, we designed a genome-wide association study (GWAS) in 404 participants of the Amsterdam Cohort Studies on HIV-1 infection and AIDS. Methods The association of SNP genotypes with the clinical course of HIV-1 infection was tested in Cox regression survival analyses using AIDS-diagnosis and AIDS-related death as endpoints. Results Multiple, not previously identified SNPs, were identified to be strongly associated with disease progression after HIV-1 infection, albeit not genome-wide significant. However, three independent SNPs in the top ten associations between SNP genotypes and time between seroconversion and AIDS-diagnosis, and one from the top ten associations between SNP genotypes and time between seroconversion and AIDS-related death, had P-values smaller than 0.05 in the French Genomics of Resistance to Immunodeficiency Virus cohort on disease progression. Conclusions Our study emphasizes that the use of different phenotypes in GWAS may be useful to unravel the full spectrum of host genetic factors that may be associated with the clinical course of HIV-1 infection.
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Affiliation(s)
- Daniëlle van Manen
- Department of Experimental Immunology, Sanquin Research, Landsteiner Laboratory, and Center for Infectious Diseases and Immunity Amsterdam (CINIMA) at the Academic Medical Center of the University of Amsterdam, Amsterdam, The Netherlands
| | - Olivier Delaneau
- Chaire de Bioinformatique, Conservatoire National des Arts et Métiers and ANRS Genomic Group, Paris, France
| | - Neeltje A. Kootstra
- Department of Experimental Immunology, Sanquin Research, Landsteiner Laboratory, and Center for Infectious Diseases and Immunity Amsterdam (CINIMA) at the Academic Medical Center of the University of Amsterdam, Amsterdam, The Netherlands
| | - Brigitte D. Boeser-Nunnink
- Department of Experimental Immunology, Sanquin Research, Landsteiner Laboratory, and Center for Infectious Diseases and Immunity Amsterdam (CINIMA) at the Academic Medical Center of the University of Amsterdam, Amsterdam, The Netherlands
| | - Sophie Limou
- Chaire de Bioinformatique, Conservatoire National des Arts et Métiers and ANRS Genomic Group, Paris, France
| | - Sebastiaan M. Bol
- Department of Experimental Immunology, Sanquin Research, Landsteiner Laboratory, and Center for Infectious Diseases and Immunity Amsterdam (CINIMA) at the Academic Medical Center of the University of Amsterdam, Amsterdam, The Netherlands
| | - Judith A. Burger
- Department of Experimental Immunology, Sanquin Research, Landsteiner Laboratory, and Center for Infectious Diseases and Immunity Amsterdam (CINIMA) at the Academic Medical Center of the University of Amsterdam, Amsterdam, The Netherlands
| | - Aeilko H. Zwinderman
- Department of Clinical Epidemiology, Biostatistics and Bioinformatics at the Academic Medical Center of the University of Amsterdam, Amsterdam, The Netherlands
| | - Perry D. Moerland
- Department of Clinical Epidemiology, Biostatistics and Bioinformatics at the Academic Medical Center of the University of Amsterdam, Amsterdam, The Netherlands
- Netherlands Bioinformatics Center (NBIC), Nijmegen, The Netherlands
| | - Ruben van 't Slot
- Complex Genetics Section, Department of Biomedical Genetics at the University Medical Center, Utrecht, The Netherlands
| | - Jean-François Zagury
- Chaire de Bioinformatique, Conservatoire National des Arts et Métiers and ANRS Genomic Group, Paris, France
| | - Angélique B. van 't Wout
- Department of Experimental Immunology, Sanquin Research, Landsteiner Laboratory, and Center for Infectious Diseases and Immunity Amsterdam (CINIMA) at the Academic Medical Center of the University of Amsterdam, Amsterdam, The Netherlands
| | - Hanneke Schuitemaker
- Department of Experimental Immunology, Sanquin Research, Landsteiner Laboratory, and Center for Infectious Diseases and Immunity Amsterdam (CINIMA) at the Academic Medical Center of the University of Amsterdam, Amsterdam, The Netherlands
- * E-mail:
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Risk of all-cause mortality in HIV infected patients is associated with clinical, immunologic predictors and the CCR5 Δ32 deletion. PLoS One 2011; 6:e22215. [PMID: 21789236 PMCID: PMC3138763 DOI: 10.1371/journal.pone.0022215] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2010] [Accepted: 06/21/2011] [Indexed: 11/20/2022] Open
Abstract
Objective Investigation of the interplay between the CCR5 Δ32/wt genotype and demographic, epidemiological, clinical and immunological factors associated with mortality in the cART era. Design Longitudinal data from 507 HIV-infected patients following the Δ32 allele detection were analyzed. Methods Cumulative 15 years mortality was calculated using Kaplan-Meyer methodology. Hazard ratios were estimated using univariate Cox models. Basing on Akakie information criteria and statistical significance multivariate Cox model was constructed and effect plots presenting adjusted hazard ratio time-dependency were drawn. Analysis of the association of all-cause mortality and CCR5 Δ32/wt genotype prior to the antiretroviral treatment (cART) initiation (n = 507) and on the therapy (n = 422) was also performed. Results A mortality rate of 2.66 (CI 2.57–3.19) per 100 person-years was observed. Univariate analysis factors modifying the risk of death included the CCR5 genotype, gender, history of cART, AIDS diagnosis and also CD4 lymphocyte nadir, zenith, the latest CD4 count and stable levels >500 cells/µl. For multivariate analysis the following predictors were selected: CCR5 genotype (HR for wt/wt 2.53, CI 1.16–5.53, p = 0.02), gender (HR for males 1.91, 95%CI 1.1–3.36, p = 0.023), introduction of combined antiretroviral treatment (HR 4.85, CI 3.0–7.89, if untreated or treated <1 month, p<0.0001) CD4 count of 500 cells/µl for six months or more (HR 4.16, CI 1.95–8.88 if not achieved, p = 0.028), the latest CD4 count (HR 5.44, CI 3.39–8.74 for <100 cells/µl, p<0.0001) and history of AIDS (HR 1.69, CI 1.03–2.79, p = 0.039). Among untreated individuals the Δ32/wt genotype was associated with notably better survival (p = 0.026), while among cART treated individuals the Δ32 mutation did not correlate significantly with higher survival rates (p = 0.23). Conclusions The Δ32 CCR5 allele is associated with a reduction of the risk of all-cause mortality in HIV (+) patients alongside clinical and immunologic predictors such as AIDS, history of cART, lymphocyte CD4 cell count and gender.
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Human leukocyte antigen variants B*44 and B*57 are consistently favorable during two distinct phases of primary HIV-1 infection in sub-Saharan Africans with several viral subtypes. J Virol 2011; 85:8894-902. [PMID: 21715491 DOI: 10.1128/jvi.00439-11] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023] Open
Abstract
As part of an ongoing study of early human immunodeficiency virus type 1 (HIV-1) infection in sub-Saharan African countries, we have identified 134 seroconverters (SCs) with distinct acute-phase (peak) and early chronic-phase (set-point) viremias. SCs with class I human leukocyte antigen (HLA) variants B*44 and B*57 had much lower peak viral loads (VLs) than SCs without these variants (adjusted linear regression beta values of -1.08 ± 0.26 log(10) [mean ± standard error] and -0.83 ± 0.27 log(10), respectively; P < 0.005 for both), after accounting for several nongenetic factors, including gender, age at estimated date of infection, duration of infection, and country of origin. These findings were confirmed by alternative models in which major viral subtypes (A1, C, and others) in the same SCs replaced country of origin as a covariate (P ≤ 0.03). Both B*44 and B*57 were also highly favorable (P ≤ 0.03) in analyses of set-point VLs. Moreover, B*44 was associated with relatively high CD4(+) T-cell counts during early chronic infection (P = 0.02). Thus, at least two common HLA-B variants showed strong influences on acute-phase as well as early chronic-phase VL, regardless of the infecting viral subtype. If confirmed, the identification of B*44 as another favorable marker in primary HIV-1 infection should help dissect mechanisms of early immune protection against HIV-1 infection.
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277
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Replication-competent simian immunodeficiency virus (SIV) Gag escape mutations archived in latent reservoirs during antiretroviral treatment of SIV-infected macaques. J Virol 2011; 85:9167-75. [PMID: 21715484 DOI: 10.1128/jvi.00366-11] [Citation(s) in RCA: 34] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
In response to pressure exerted by major histocompatibility complex (MHC) class I-mediated CD8(+) T cell control, human immunodeficiency virus (HIV) escape mutations often arise in immunodominant epitopes recognized by MHC class I alleles. While the current standard of care for HIV-infected patients is treatment with highly active antiretroviral therapy (HAART), suppression of viral replication in these patients is not absolute and latently infected cells persist as lifelong reservoirs. To determine whether HIV escape from MHC class I-restricted CD8(+) T cell control develops during HAART treatment and then enters latent reservoirs in the periphery and central nervous system (CNS), with the potential to emerge as replication-competent virus, we tracked the longitudinal development of the simian immunodeficiency virus (SIV) Gag escape mutation K165R in HAART-treated SIV-infected pigtailed macaques. Key findings of these studies included: (i) SIV Gag K165R escape mutations emerged in both plasma and cerebrospinal fluid (CSF) during the decaying phase of viremia after HAART initiation before suppression of viral replication, (ii) SIV K165R Gag escape mutations were archived in latent proviral DNA reservoirs, including the brain in animals receiving HAART that suppressed viral replication, and (iii) replication-competent SIV Gag K165R escape mutations were present in the resting CD4(+) T cell reservoir in HAART-treated SIV-infected macaques. Despite early administration of aggressive antiretroviral treatment, HIV immune escape from CD8(+) T cell control can still develop during the decaying phases of viremia and then persist in latent reservoirs, including the brain, with the potential to emerge if HAART therapy is interrupted.
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278
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Rao X, Hoof I, Fontaine Costa AICA, van Baarle D, Keşmir C. HLA class I allele promiscuity revisited. Immunogenetics 2011; 63:691-701. [PMID: 21695550 PMCID: PMC3190086 DOI: 10.1007/s00251-011-0552-6] [Citation(s) in RCA: 42] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2011] [Accepted: 06/10/2011] [Indexed: 12/02/2022]
Abstract
The peptide repertoire presented on human leukocyte antigen (HLA) class I molecules is largely determined by the structure of the peptide binding groove. It is expected that the molecules having similar grooves (i.e., belonging to the same supertype) might present similar/overlapping peptides. However, the extent of promiscuity among HLA class I ligands remains controversial: while in many studies T cell responses are detected against epitopes presented by alternative molecules across HLA class I supertypes and loci, peptide elution studies report minute overlaps between the peptide repertoires of even related HLA molecules. To get more insight into the promiscuous peptide binding by HLA molecules, we analyzed the HLA peptide binding data from the large epitope repository, Immune Epitope Database (IEDB), and further performed in silico analysis to estimate the promiscuity at the population level. Both analyses suggest that an unexpectedly large fraction of HLA ligands (>50%) bind two or more HLA molecules, often across supertype or even loci. These results suggest that different HLA class I molecules can nevertheless present largely overlapping peptide sets, and that “functional” HLA polymorphism on individual and population level is probably much lower than previously anticipated.
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Affiliation(s)
- Xiangyu Rao
- Theoretical Biology and Bioinformatics, Utrecht University, Padualaan 8, 3584CH Utrecht, The Netherlands
| | - Ilka Hoof
- Theoretical Biology and Bioinformatics, Utrecht University, Padualaan 8, 3584CH Utrecht, The Netherlands
| | | | - Debbie van Baarle
- Department of Immunology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Can Keşmir
- Theoretical Biology and Bioinformatics, Utrecht University, Padualaan 8, 3584CH Utrecht, The Netherlands
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279
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Klimentidis YC, Aissani B, Shriver MD, Allison DB, Shrestha S. Natural selection among Eurasians at genomic regions associated with HIV-1 control. BMC Evol Biol 2011; 11:173. [PMID: 21689440 PMCID: PMC3141432 DOI: 10.1186/1471-2148-11-173] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2010] [Accepted: 06/20/2011] [Indexed: 12/11/2022] Open
Abstract
Background HIV susceptibility and pathogenicity exhibit both interindividual and intergroup variability. The etiology of intergroup variability is still poorly understood, and could be partly linked to genetic differences among racial/ethnic groups. These genetic differences may be traceable to different regimes of natural selection in the 60,000 years since the human radiation out of Africa. Here, we examine population differentiation and haplotype patterns at several loci identified through genome-wide association studies on HIV-1 control, as determined by viral-load setpoint, in European and African-American populations. We use genome-wide data from the Human Genome Diversity Project, consisting of 53 world-wide populations, to compare measures of FST and relative extended haplotype homozygosity (REHH) at these candidate loci to the rest of the respective chromosome. Results We find that the Europe-Middle East and Europe-South Asia pairwise FST in the most strongly associated region are elevated compared to most pairwise comparisons with the sub-Saharan African group, which exhibit very low FST. We also find genetic signatures of recent positive selection (higher REHH) at these associated regions among all groups except for sub-Saharan Africans and Native Americans. This pattern is consistent with one in which genetic differentiation, possibly due to diversifying/positive selection, occurred at these loci among Eurasians. Conclusions These findings are concordant with those from earlier studies suggesting recent evolutionary change at immunity-related genomic regions among Europeans, and shed light on the potential genetic and evolutionary origin of population differences in HIV-1 control.
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Affiliation(s)
- Yann C Klimentidis
- Section on Statistical Genetics, Department of Biostatistics, University of Alabama at Birmingham, Birmingham, AL 35294, USA.
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280
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Abstract
Intracellular pathogens contribute to a significant proportion of infectious disease morbidity and mortality worldwide. Increasing evidence points to a major role for host genetics in explaining inter-individual variation in susceptibility to infectious diseases. A number of monogenic disorders predisposing to infectious disease have been reported, including susceptibility to intracellular pathogens in association with mutations in genes of the interleukin-12/interleukin-23/interferon-γ axis. Common genetic variants have also been demonstrated to regulate susceptibility to intracellular infection, for example the CCR5Δ32 polymorphism that modulates human immunodeficiency virus-1 (HIV-1) disease progression. Genome-wide association study approaches are being increasingly utilized to define genetic variants underlying susceptibility to major infectious diseases. This review focuses on the current state-of-the-art in genetics and genomics as pertains to understanding the genetic contribution to human susceptibility to infectious diseases caused by intracellular pathogens such as tuberculosis, leprosy, HIV-1, hepatitis, and malaria, with a particular emphasis on insights from recent genome-wide approaches. The results from these studies implicate common genetic variants in novel molecular pathways involved in human immunity to specific pathogens.
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Affiliation(s)
- Fredrik O Vannberg
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK
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281
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Nalls MA, Couper DJ, Tanaka T, van Rooij FJA, Chen MH, Smith AV, Toniolo D, Zakai NA, Yang Q, Greinacher A, Wood AR, Garcia M, Gasparini P, Liu Y, Lumley T, Folsom AR, Reiner AP, Gieger C, Lagou V, Felix JF, Völzke H, Gouskova NA, Biffi A, Döring A, Völker U, Chong S, Wiggins KL, Rendon A, Dehghan A, Moore M, Taylor K, Wilson JG, Lettre G, Hofman A, Bis JC, Pirastu N, Fox CS, Meisinger C, Sambrook J, Arepalli S, Nauck M, Prokisch H, Stephens J, Glazer NL, Cupples LA, Okada Y, Takahashi A, Kamatani Y, Matsuda K, Tsunoda T, Tanaka T, Kubo M, Nakamura Y, Yamamoto K, Kamatani N, Stumvoll M, Tönjes A, Prokopenko I, Illig T, Patel KV, Garner SF, Kuhnel B, Mangino M, Oostra BA, Thein SL, Coresh J, Wichmann HE, Menzel S, Lin J, Pistis G, Uitterlinden AG, Spector TD, Teumer A, Eiriksdottir G, Gudnason V, Bandinelli S, Frayling TM, Chakravarti A, van Duijn CM, Melzer D, Ouwehand WH, Levy D, Boerwinkle E, Singleton AB, Hernandez DG, Longo DL, Soranzo N, Witteman JCM, Psaty BM, Ferrucci L, Harris TB, O'Donnell CJ, Ganesh SK. Multiple loci are associated with white blood cell phenotypes. PLoS Genet 2011; 7:e1002113. [PMID: 21738480 PMCID: PMC3128114 DOI: 10.1371/journal.pgen.1002113] [Citation(s) in RCA: 99] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2010] [Accepted: 04/17/2011] [Indexed: 01/09/2023] Open
Abstract
White blood cell (WBC) count is a common clinical measure from complete blood count assays, and it varies widely among healthy individuals. Total WBC count and its constituent subtypes have been shown to be moderately heritable, with the heritability estimates varying across cell types. We studied 19,509 subjects from seven cohorts in a discovery analysis, and 11,823 subjects from ten cohorts for replication analyses, to determine genetic factors influencing variability within the normal hematological range for total WBC count and five WBC subtype measures. Cohort specific data was supplied by the CHARGE, HeamGen, and INGI consortia, as well as independent collaborative studies. We identified and replicated ten associations with total WBC count and five WBC subtypes at seven different genomic loci (total WBC count-6p21 in the HLA region, 17q21 near ORMDL3, and CSF3; neutrophil count-17q21; basophil count- 3p21 near RPN1 and C3orf27; lymphocyte count-6p21, 19p13 at EPS15L1; monocyte count-2q31 at ITGA4, 3q21, 8q24 an intergenic region, 9q31 near EDG2), including three previously reported associations and seven novel associations. To investigate functional relationships among variants contributing to variability in the six WBC traits, we utilized gene expression- and pathways-based analyses. We implemented gene-clustering algorithms to evaluate functional connectivity among implicated loci and showed functional relationships across cell types. Gene expression data from whole blood was utilized to show that significant biological consequences can be extracted from our genome-wide analyses, with effect estimates for significant loci from the meta-analyses being highly corellated with the proximal gene expression. In addition, collaborative efforts between the groups contributing to this study and related studies conducted by the COGENT and RIKEN groups allowed for the examination of effect homogeneity for genome-wide significant associations across populations of diverse ancestral backgrounds.
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Affiliation(s)
- Michael A. Nalls
- Laboratory of Neurogenetics, Intramural Research Program, National Institute on Aging (NIA), National Institutes of Health (NIH), Bethesda, Maryland, United States of America
| | - David J. Couper
- Collaborative Studies Coordinating Center, Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America
| | - Toshiko Tanaka
- Longitudinal Studies Section, Clinical Research Branch, NIA, NIH, Baltimore, Maryland, United States of America
| | - Frank J. A. van Rooij
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
- Netherlands Consortium for Healthy Aging (NGI-NCHA), The Netherlands Genomics Initiative, Leiden, The Netherlands
| | - Ming-Huei Chen
- National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, Massachusetts, United States of America
- Department of Neurology, Boston University School of Medicine, Boston, Massachusetts, United States of America
| | - Albert V. Smith
- Icelandic Heart Association, Kopavogur, Iceland
- University of Iceland, Reykjavik, Iceland
| | - Daniela Toniolo
- Division of Genetics and Cell Biology, San Raffaele Scientific Institute, Milano, Italy
- Institute of Molecular Genetics–CNR, Pavia, Italy
| | - Neil A. Zakai
- Department of Medicine University of Vermont College of Medicine, Burlington, Vermont, United States of America
- Department of Pathology University of Vermont College of Medicine, Burlington, Vermont, United States of America
| | - Qiong Yang
- National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, Massachusetts, United States of America
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, United States of America
| | - Andreas Greinacher
- Institute of Immunology and Transfusion Medicine, Ernst-Moritz-Arndt-University Greifswald, Greifswald, Germany
| | - Andrew R. Wood
- Genetics of Complex Traits, Peninsula College of Medicine and Dentistry, University of Exeter, United Kingdom
| | - Melissa Garcia
- Laboratory for Epidemiology, Demography, and Biometry, NIA, NIH, Bethesda, Maryland, United States of America
| | - Paolo Gasparini
- Medical Genetics, IRCCS–Burlo Garofolo/University of Trieste, Trieste, Italy
| | - Yongmei Liu
- Department of Epidemiology and Prevention, Division of Public Health Sciences, Wake Forest University, Winston-Salem, North Carolina, United States of America
| | - Thomas Lumley
- Department of Biostatistics, University of Washington, Seattle, Washington, United States of America
| | - Aaron R. Folsom
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, Minnesota, United States of America
| | - Alex P. Reiner
- Department of Epidemiology, University of Washington, Seattle, Washington, United States of America
| | - Christian Gieger
- Institute of Genetic Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Vasiliki Lagou
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, United Kingdom
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, United Kingdom
| | - Janine F. Felix
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
- Netherlands Consortium for Healthy Aging (NGI-NCHA), The Netherlands Genomics Initiative, Leiden, The Netherlands
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany
| | - Henry Völzke
- Community Medicine, Ernst-Moritz-Arndt-University Greifswald, Greifswald, Germany
| | - Natalia A. Gouskova
- University of North Carolina, School of Public Health, United States of America
| | - Alessandro Biffi
- Center for Human Genetic Research, Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, United States of America
- Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts, United States of America
| | - Angela Döring
- Institute of Epidemiology I, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Uwe Völker
- Interfaculty Institute for Genetics and Functional Genomics, Ernst-Moritz-Arndt-University Greifswald, Greifswald, Germany
| | - Sean Chong
- Laboratory of Neurogenetics, Intramural Research Program, National Institute on Aging (NIA), National Institutes of Health (NIH), Bethesda, Maryland, United States of America
| | - Kerri L. Wiggins
- Cardiovascular Health Resarch Unit and Department of Medicine, University of Washington, Seattle, Washington, United States of America
| | - Augusto Rendon
- Department of Haematology, University of Cambridge and National Health Service Blood and Transplant, Cambridge, United Kingdom
| | - Abbas Dehghan
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
- Netherlands Consortium for Healthy Aging (NGI-NCHA), The Netherlands Genomics Initiative, Leiden, The Netherlands
| | - Matt Moore
- Laboratory of Neurogenetics, Intramural Research Program, National Institute on Aging (NIA), National Institutes of Health (NIH), Bethesda, Maryland, United States of America
| | - Kent Taylor
- Medical Genetics Institute, Cedars-Sinai Medical Center, Los Angeles, California, United States of America
| | - James G. Wilson
- Department of Physiology and Biophysics, University of Mississippi Medical Center, Jackson, Mississippi, United States of America
| | - Guillaume Lettre
- Montreal Heart Institute and Universite de Montreal, Montreal, Canada
| | - Albert Hofman
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
- Netherlands Consortium for Healthy Aging (NGI-NCHA), The Netherlands Genomics Initiative, Leiden, The Netherlands
| | - Joshua C. Bis
- Cardiovascular Health Resarch Unit and Department of Medicine, University of Washington, Seattle, Washington, United States of America
| | - Nicola Pirastu
- Medical Genetics, IRCCS–Burlo Garofolo/University of Trieste, Trieste, Italy
| | - Caroline S. Fox
- National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, Massachusetts, United States of America
- Division of Endocrinology, Brigham and Women's Hospital and Harvard Medical School, Boston, United States of America
| | - Christa Meisinger
- Institute of Epidemiology II, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Jennifer Sambrook
- Department of Haematology, University of Cambridge and National Health Service Blood and Transplant, Cambridge, United Kingdom
| | - Sampath Arepalli
- Laboratory of Neurogenetics, Intramural Research Program, National Institute on Aging (NIA), National Institutes of Health (NIH), Bethesda, Maryland, United States of America
| | - Matthias Nauck
- Institute for Clinical Chemistry and Laboratory Medicine, Ernst-Moritz-Arndt-University Greifswald, Greifswald, Germany
| | - Holger Prokisch
- Institute of Human Genetics, Klinikum rechts der Isar, Technical University Munich, Munich, Germany
- Institute of Human Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Jonathan Stephens
- Department of Haematology, University of Cambridge and National Health Service Blood and Transplant, Cambridge, United Kingdom
| | - Nicole L. Glazer
- Cardiovascular Health Resarch Unit and Department of Medicine, University of Washington, Seattle, Washington, United States of America
| | - L. Adrienne Cupples
- National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, Massachusetts, United States of America
- Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, United States of America
| | - Yukinori Okada
- Laboratory for Statistical Analysis, Center for Genomic Medicine (CGM), Institute of Physical and Chemical Research (RIKEN), Yokohama, Japan
- Department of Allergy and Rheumatology, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
| | - Atsushi Takahashi
- Laboratory for Statistical Analysis, Center for Genomic Medicine (CGM), Institute of Physical and Chemical Research (RIKEN), Yokohama, Japan
| | | | - Koichi Matsuda
- Laboratory of Molecular Medicine, Human Genome Center, Institute of Medical Science, University of Tokyo, Tokyo, Japan
| | | | - Toshihiro Tanaka
- Laboratory for Cardiovascular Diseases, CGM, RIKEN, Yokohama, Japan
| | - Michiaki Kubo
- Laboratory for Genotyping Development, CGM, RIKEN, Yokohama, Japan
| | - Yusuke Nakamura
- Laboratory of Molecular Medicine, Human Genome Center, Institute of Medical Science, University of Tokyo, Tokyo, Japan
| | - Kazuhiko Yamamoto
- Department of Allergy and Rheumatology, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
| | - Naoyuki Kamatani
- Laboratory for Statistical Analysis, Center for Genomic Medicine (CGM), Institute of Physical and Chemical Research (RIKEN), Yokohama, Japan
| | - Michael Stumvoll
- Department of Medicine, University of Leipzig, Leipzig, Germany
- LIFE Study Centre, University of Leipzig, Leipzig, Germany
| | - Anke Tönjes
- Department of Medicine, University of Leipzig, Leipzig, Germany
| | - Inga Prokopenko
- Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, United Kingdom
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, United Kingdom
| | - Thomas Illig
- Unit for Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Kushang V. Patel
- Laboratory for Epidemiology, Demography, and Biometry, NIA, NIH, Bethesda, Maryland, United States of America
| | - Stephen F. Garner
- Department of Haematology, University of Cambridge and National Health Service Blood and Transplant, Cambridge, United Kingdom
| | - Brigitte Kuhnel
- Institute of Genetic Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Massimo Mangino
- Department of Twin Research and Genetic Epidemiology, King's College London, London, United Kingdom
| | - Ben A. Oostra
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
- Netherlands Consortium for Healthy Aging (NGI-NCHA), The Netherlands Genomics Initiative, Leiden, The Netherlands
- Department of Clinical Genetics, Erasmus MC, Rotterdam, The Netherlands
| | - Swee Lay Thein
- Molecular Haematology, King's College London, London, United Kingdom
| | - Josef Coresh
- Department of Epidemiology, Johns Hopkins University, Baltimore, Maryland, United States of America
| | - H.-Erich Wichmann
- Institute of Epidemiology I, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
- Institute of Medical Informatics, Biometry and Epidemiology, Chair of Epidemiology, Ludwig-Maximilians-Universität, Munich, Germany
- Klinikum Grosshadern, Munich, Germany
| | - Stephan Menzel
- Molecular Haematology, King's College London, London, United Kingdom
| | - JingPing Lin
- Office of Biostatistical Research, Division of Cardiovascular Sciences, NHLBI, NIH, Bethesda, Maryland, United States of America
| | - Giorgio Pistis
- Division of Genetics and Cell Biology, San Raffaele Scientific Institute, Milano, Italy
| | - André G. Uitterlinden
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
- Netherlands Consortium for Healthy Aging (NGI-NCHA), The Netherlands Genomics Initiative, Leiden, The Netherlands
- Department of Internal Medicine, Erasmus MC, Rotterdam, The Netherlands
| | - Tim D. Spector
- Department of Twin Research and Genetic Epidemiology, King's College London, London, United Kingdom
| | - Alexander Teumer
- Interfaculty Institute for Genetics and Functional Genomics, Ernst-Moritz-Arndt-University Greifswald, Greifswald, Germany
| | | | - Vilmundur Gudnason
- Icelandic Heart Association, Kopavogur, Iceland
- University of Iceland, Reykjavik, Iceland
| | | | - Timothy M. Frayling
- Genetics of Complex Traits, Peninsula College of Medicine and Dentistry, University of Exeter, United Kingdom
| | - Aravinda Chakravarti
- McKusick-Nathans Institute of Genetic Medicine, Johns Hopkins University, Baltimore, Maryland, United States of America
| | - Cornelia M. van Duijn
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
- Netherlands Consortium for Healthy Aging (NGI-NCHA), The Netherlands Genomics Initiative, Leiden, The Netherlands
| | - David Melzer
- Epidemiology and Public Health, Peninsula College of Medicine and Dentistry, University of Exeter, Exeter, United Kingdom
- The European Centre for Environment and Human Health, PCMD, Truro, United Kingdom
| | - Willem H. Ouwehand
- Department of Haematology, University of Cambridge and National Health Service Blood and Transplant, Cambridge, United Kingdom
- Wellcome Trust Sanger Institute, Hinxton, United Kingdom
| | - Daniel Levy
- National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, Massachusetts, United States of America
- Division of Intramural Research, National Heart, Lung, and Blood Institute (NHLBI), Bethesda, Maryland, United States of America
| | - Eric Boerwinkle
- Human Genetics Center, University of Texas Health Science Center, Houston, Texas, United States of America
| | - Andrew B. Singleton
- Laboratory of Neurogenetics, Intramural Research Program, National Institute on Aging (NIA), National Institutes of Health (NIH), Bethesda, Maryland, United States of America
| | - Dena G. Hernandez
- Laboratory of Neurogenetics, Intramural Research Program, National Institute on Aging (NIA), National Institutes of Health (NIH), Bethesda, Maryland, United States of America
- Department of Molecular Neuroscience and Reta Lila Laboratories, Institute of Neurology, University College London, London, United Kingdom
| | - Dan L. Longo
- Clinical Research Branch, National Institute on Aging, Baltimore, Maryland, United States of America
| | - Nicole Soranzo
- Wellcome Trust Sanger Institute, Hinxton, United Kingdom
| | - Jacqueline C. M. Witteman
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
- Netherlands Consortium for Healthy Aging (NGI-NCHA), The Netherlands Genomics Initiative, Leiden, The Netherlands
| | - Bruce M. Psaty
- Departments of Epidemiology, Medicine and Health Services, University of Washington, Seattle, Washington, United States of America
- Group Health Research Institute, Group Health, Seattle, Washington, United States of America
| | - Luigi Ferrucci
- Longitudinal Studies Section, Clinical Research Branch, NIA, NIH, Baltimore, Maryland, United States of America
| | - Tamara B. Harris
- Laboratory for Epidemiology, Demography, and Biometry, NIA, NIH, Bethesda, Maryland, United States of America
| | - Christopher J. O'Donnell
- National Heart, Lung, and Blood Institute's Framingham Heart Study, Framingham, Massachusetts, United States of America
- Division of Intramural Research, National Heart, Lung, and Blood Institute (NHLBI), Bethesda, Maryland, United States of America
- Cardiology Division, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Santhi K. Ganesh
- Division of Cardiovascular Medicine, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, United States of America
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282
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Evangelou E, Fellay J, Colombo S, Martinez-Picado J, Obel N, Goldstein DB, Telenti A, Ioannidis JPA. Impact of phenotype definition on genome-wide association signals: empirical evaluation in human immunodeficiency virus type 1 infection. Am J Epidemiol 2011; 173:1336-42. [PMID: 21490045 DOI: 10.1093/aje/kwr024] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
Discussion on improving the power of genome-wide association studies to identify candidate variants and genes is generally centered on issues of maximizing sample size; less attention is given to the role of phenotype definition and ascertainment. The authors used genome-wide data from patients infected with human immunodeficiency virus type 1 (HIV-1) to assess whether differences in type of population (622 seroconverters vs. 636 seroprevalent subjects) or the number of measurements available for defining the phenotype resulted in differences in the effect sizes of associations between single nucleotide polymorphisms and the phenotype, HIV-1 viral load at set point. The effect estimate for the top 100 single nucleotide polymorphisms was 0.092 (95% confidence interval: 0.074, 0.110) log(10) viral load (log(10) copies of HIV-1 per mL of blood) greater in seroconverters than in seroprevalent subjects. The difference was even larger when the authors focused on chromosome 6 variants (0.153 log(10) viral load) or on variants that achieved genome-wide significance (0.232 log(10) viral load). The estimates of the genetic effects tended to be slightly larger when more viral load measurements were available, particularly among seroconverters and for variants that achieved genome-wide significance. Differences in phenotype definition and ascertainment may affect the estimated magnitude of genetic effects and should be considered in optimizing power for discovering new associations.
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Affiliation(s)
- Evangelos Evangelou
- Institute of Microbiology, University Hospital Center, University of Lausanne, Lausanne, Switzerland
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283
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Troyer JL, Nelson GW, Lautenberger JA, Chinn L, McIntosh C, Johnson RC, Sezgin E, Kessing B, Malasky M, Hendrickson SL, Li G, Pontius J, Tang M, An P, Winkler CA, Limou S, Le Clerc S, Delaneau O, Zagury JF, Schuitemaker H, van Manen D, Bream JH, Gomperts ED, Buchbinder S, Goedert JJ, Kirk GD, O'Brien SJ. Genome-wide association study implicates PARD3B-based AIDS restriction. J Infect Dis 2011; 203:1491-502. [PMID: 21502085 PMCID: PMC3080910 DOI: 10.1093/infdis/jir046] [Citation(s) in RCA: 46] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2010] [Accepted: 12/22/2010] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Host genetic variation influences human immunodeficiency virus (HIV) infection and progression to AIDS. Here we used clinically well-characterized subjects from 5 pretreatment HIV/AIDS cohorts for a genome-wide association study to identify gene associations with rate of AIDS progression. METHODS European American HIV seroconverters (n = 755) were interrogated for single-nucleotide polymorphisms (SNPs) (n = 700,022) associated with progression to AIDS 1987 (Cox proportional hazards regression analysis, co-dominant model). RESULTS Association with slower progression was observed for SNPs in the gene PARD3B. One of these, rs11884476, reached genome-wide significance (relative hazard = 0.3; P =3. 370 × 10(-9)) after statistical correction for 700,022 SNPs and contributes 4.52% of the overall variance in AIDS progression in this study. Nine of the top-ranked SNPs define a PARD3B haplotype that also displays significant association with progression to AIDS (hazard ratio, 0.3; P = 3.220 × 10(-8)). One of these SNPs, rs10185378, is a predicted exonic splicing enhancer; significant alteration in the expression profile of PARD3B splicing transcripts was observed in B cell lines with alternate rs10185378 genotypes. This SNP was typed in European cohorts of rapid progressors and was found to be protective for AIDS 1993 definition (odds ratio, 0.43, P = .025). CONCLUSIONS These observations suggest a potential unsuspected pathway of host genetic influence on the dynamics of AIDS progression.
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Affiliation(s)
- Jennifer L Troyer
- Laboratory of Genomic Diversity, SAIC-Frederick, Inc., Frederick, MD 21702, USA.
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284
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Huang KHG, Goedhals D, Carlson JM, Brockman MA, Mishra S, Brumme ZL, Hickling S, Tang CSW, Miura T, Seebregts C, Heckerman D, Ndung'u T, Walker B, Klenerman P, Steyn D, Goulder P, Phillips R, van Vuuren C, Frater J. Progression to AIDS in South Africa is associated with both reverting and compensatory viral mutations. PLoS One 2011; 6:e19018. [PMID: 21544209 PMCID: PMC3081339 DOI: 10.1371/journal.pone.0019018] [Citation(s) in RCA: 50] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2011] [Accepted: 03/13/2011] [Indexed: 11/18/2022] Open
Abstract
We lack the understanding of why HIV-infected individuals in South Africa progress to AIDS. We hypothesised that in end-stage disease there is a shifting dynamic between T cell imposed immunity and viral immune escape, which, through both compensatory and reverting viral mutations, results in increased viral fitness, elevated plasma viral loads and disease progression. We explored how T cell responses, viral adaptation and viral fitness inter-relate in South African cohorts recruited from Bloemfontein, the Free State (n = 278) and Durban, KwaZulu-Natal (n = 775). Immune responses were measured by γ-interferon ELISPOT assays. HLA-associated viral polymorphisms were determined using phylogenetically corrected techniques, and viral replication capacity (VRC) was measured by comparing the growth rate of gag-protease recombinant viruses against recombinant NL4-3 viruses. We report that in advanced disease (CD4 counts <100 cells/µl), T cell responses narrow, with a relative decline in Gag-directed responses (p<0.0001). This is associated with preserved selection pressure at specific viral amino acids (e.g., the T242N polymorphism within the HLA-B*57/5801 restricted TW10 epitope), but with reversion at other sites (e.g., the T186S polymorphism within the HLA-B*8101 restricted TL9 epitope), most notably in Gag and suggestive of "immune relaxation". The median VRC from patients with CD4 counts <100 cells/µl was higher than from patients with CD4 counts ≥ 500 cells/µl (91.15% versus 85.19%, p = 0.0004), potentially explaining the rise in viral load associated with disease progression. Mutations at HIV Gag T186S and T242N reduced VRC, however, in advanced disease only the T242N mutants demonstrated increasing VRC, and were associated with compensatory mutations (p = 0.013). These data provide novel insights into the mechanisms of HIV disease progression in South Africa. Restoration of fitness correlates with loss of viral control in late disease, with evidence for both preserved and relaxed selection pressure across the HIV genome. Interventions that maintain viral fitness costs could potentially slow progression.
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Affiliation(s)
- Kuan-Hsiang Gary Huang
- Nuffield Department of Clinical Medicine,
Oxford University, Oxford, United Kingdom
- The James Martin 21st Century School,
Oxford, United Kingdom
| | - Dominique Goedhals
- University of Free State, Bloemfontein, South
Africa
- National Health Laboratory Services (NHLS),
Johannesburg, South Africa
| | - Jonathan M. Carlson
- eScience Group, Microsoft Research, Los
Angeles, California, United States of America
| | - Mark A. Brockman
- Simon Fraser University, Burnaby, British
Columbia, Canada
- British Columbia Centre for Excellence in
HIV/AIDS, Vancouver, British Columbia, Canada
- Ragon Institute of Massachusetts General
Hospital, Harvard University and Massachusetts Institute of Technology (MIT),
Boston, Massachusetts, United States of America
| | - Swati Mishra
- Nuffield Department of Clinical Medicine,
Oxford University, Oxford, United Kingdom
| | - Zabrina L. Brumme
- Simon Fraser University, Burnaby, British
Columbia, Canada
- British Columbia Centre for Excellence in
HIV/AIDS, Vancouver, British Columbia, Canada
- Ragon Institute of Massachusetts General
Hospital, Harvard University and Massachusetts Institute of Technology (MIT),
Boston, Massachusetts, United States of America
| | - Stephen Hickling
- Nuffield Department of Clinical Medicine,
Oxford University, Oxford, United Kingdom
| | | | - Toshiyuki Miura
- Ragon Institute of Massachusetts General
Hospital, Harvard University and Massachusetts Institute of Technology (MIT),
Boston, Massachusetts, United States of America
- Institute of Medical Science, University of
Tokyo, Tokyo, Japan
| | - Chris Seebregts
- Biomedical Informatics Research Division,
Medical Research Council, Cape Town, South Africa
| | - David Heckerman
- eScience Group, Microsoft Research, Los
Angeles, California, United States of America
| | - Thumbi Ndung'u
- HIV Pathogenesis Programme, The Doris Duke
Medical Research Institute, University of KwaZulu-Natal, Durban, South
Africa
| | - Bruce Walker
- HIV Pathogenesis Programme, The Doris Duke
Medical Research Institute, University of KwaZulu-Natal, Durban, South
Africa
- Infectious Disease, Massachusetts General
Hospital, Boston, Massachusetts, United States of America
- Division of AIDS, Harvard University,
Boston, Massachusetts, United States of America
| | - Paul Klenerman
- Nuffield Department of Clinical Medicine,
Oxford University, Oxford, United Kingdom
- Oxford NIHR Biomedical Research Centre,
Oxford, United Kingdom
| | - Dewald Steyn
- University of Free State, Bloemfontein, South
Africa
| | - Philip Goulder
- Department of Paediatrics, University of
Oxford, Oxford, United Kingdom
| | - Rodney Phillips
- Nuffield Department of Clinical Medicine,
Oxford University, Oxford, United Kingdom
- The James Martin 21st Century School,
Oxford, United Kingdom
- Oxford NIHR Biomedical Research Centre,
Oxford, United Kingdom
| | | | | | - John Frater
- Nuffield Department of Clinical Medicine,
Oxford University, Oxford, United Kingdom
- Oxford NIHR Biomedical Research Centre,
Oxford, United Kingdom
- * E-mail:
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285
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Altfeld M, Goulder PJ. The STEP study provides a hint that vaccine induction of the right CD8+ T cell responses can facilitate immune control of HIV. J Infect Dis 2011; 203:753-5. [PMID: 21343145 DOI: 10.1093/infdis/jiq119] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
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286
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Riva A, Vicenzi E, Galli M, Poli G. Strenuous resistance to natural HIV-1 disease progression: viral controllers and long-term nonprogressors. Future Virol 2011. [DOI: 10.2217/fvl.11.25] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
HIV-1 infection leads to AIDS and death within 8–10 years for most individuals in the absence of antiretroviral therapy (ART). However, a minority of infected individuals show the unusual capacity to spontaneously control disease progression after infection in the absence of any ART. So-called ‘long-term nonprogressors’ are defined by maintenance of peripheral CD4+ T-cell counts >500 cells/µl and good health without ART for >7 years since infection. More recently, ART-naive individuals who spontaneously control their viremia levels at either <50 or <2000 copies of RNA/ml for at least 12 months in the absence of ART have been named ‘elite controllers’ and ‘HIV controllers’, respectively. The overlap between long-term nonprogressors and elite controllers/HIV controllers is partial, and both groups collectively account for <5% of all infected individuals. Unraveling the nature of their relative resistance to HIV-1 disease progression would be of great value for HIV-prevention strategies.
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Affiliation(s)
- Agostino Riva
- Infectious Diseases & Immunopathology Section, Department of Clinical Sciences, L Sacco Hospital, Università di Milano, Italy
| | - Elisa Vicenzi
- Viral Pathogens & Biosafety & AIDS Immunopathogenesis Units, Division of Immunology, Transplantation & Infectious Diseases, San Raffaele Scientific Institute, Milano, Italy; P2/P3 Laboratories, Via Olgettina n 58, 20132, Milano, Italy
| | - Massimo Galli
- Infectious Diseases & Immunopathology Section, Department of Clinical Sciences, L Sacco Hospital, Università di Milano, Italy
| | - Guido Poli
- Vita-Salute San Raffaele University, School of Medicine, Milano, Italy
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287
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Müller V, Fraser C, Herbeck JT. A strong case for viral genetic factors in HIV virulence. Viruses 2011; 3:204-216. [PMID: 21994727 PMCID: PMC3185695 DOI: 10.3390/v3030204] [Citation(s) in RCA: 25] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2011] [Revised: 02/28/2011] [Accepted: 02/28/2011] [Indexed: 12/23/2022] Open
Abstract
HIV infections show great variation in the rate of progression to disease, and the role of viral genetic factors in this variation had remained poorly characterized until recently. Now a series of four studies [1-4] published within a year has filled this important gap and has demonstrated a robust effect of the viral genotype on HIV virulence.
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Affiliation(s)
- Viktor Müller
- Institute of Biology, Eötvös Loránd University, Pázmány P. s. 1/C, 1117 Budapest, Hungary
| | - Christophe Fraser
- Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London W2 1PG, UK; E-Mail:
| | - Joshua T. Herbeck
- Department of Microbiology, University of Washington School of Medicine, Seattle, WA 98195, USA; E-Mail:
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288
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Blais ME, Dong T, Rowland-Jones S. HLA-C as a mediator of natural killer and T-cell activation: spectator or key player? Immunology 2011; 133:1-7. [PMID: 21355865 DOI: 10.1111/j.1365-2567.2011.03422.x] [Citation(s) in RCA: 74] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
The biochemical properties of the HLA-C antigen differ substantially from those of HLA-A and -B molecules. For this reason, HLA-C diversity and expression at the cell surface are much lower than its counterparts and in consequence HLA-C-restricted responses have been infrequently detected and described. In this review we summarise the key differences between HLA-C and other class I molecules and provide an update on natural killer and T-cell responses restricted by HLA-C. We also discuss the different clinical settings associated with HLA-C alleles which mainly consist of autoimmune disorders, cancers and chronic infections.
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Affiliation(s)
- Marie-Eve Blais
- MRC Human Immunology Unit, Weatherall Institute of Molecular Medicine, John Radcliffe Hospital, Oxford, UK
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289
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Le Clerc S, Coulonges C, Delaneau O, Van Manen D, Herbeck JT, Limou S, An P, Martinson JJ, Spadoni JL, Therwath A, Veldink JH, van den Berg LH, Taing L, Labib T, Mellak S, Montes M, Delfraissy JF, Schächter F, Winkler C, Froguel P, Mullins JI, Schuitemaker H, Zagury JF. Screening low-frequency SNPS from genome-wide association study reveals a new risk allele for progression to AIDS. J Acquir Immune Defic Syndr 2011; 56:279-84. [PMID: 21107268 PMCID: PMC3386792 DOI: 10.1097/qai.0b013e318204982b] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
BACKGROUND Seven genome-wide association studies (GWAS) have been published in AIDS, and only associations in the HLA region on chromosome 6 and CXCR6 have passed genome-wide significance. METHODS We reanalyzed the data from 3 previously published GWAS, targeting specifically low-frequency SNPs (minor allele frequency <5%). Two groups composed of 365 slow progressors and 147 rapid progressors from Europe and the United States were compared with a control group of 1394 seronegative individuals using Eigenstrat corrections. RESULTS Of the 8584 SNPs with minor allele frequency <5% in cases and controls (Bonferroni threshold = 5.8 × 10⁻⁶), 4 SNPs showed statistical evidence of association with the slow progressor phenotype. The best result was for HCP5 rs2395029 [P = 8.54 × 10⁻¹⁵, odds ratio (OR) = 3.41] in the HLA locus, in partial linkage disequilibrium with 2 additional chromosome 6 associations in C6orf48 (P = 3.03 × 10⁻¹⁰, OR = 2.9) and NOTCH4 (9.08 × 10⁻⁰⁷, OR = 2.32). The fourth association corresponded to rs2072255 located in RICH2 (P = 3.30 × 10⁻⁰⁶, OR = 0.43) in chromosome 17. Using HCP5 rs2395029 as a covariate, the C6orf48 and NOTCH4 signals disappeared, but the RICH2 signal still remained significant. CONCLUSIONS Besides the already known chromosome 6 associations, the analysis of low-frequency SNPs brought up a new association in the RICH2 gene. Interestingly, RICH2 interacts with BST-2 known to be a major restriction factor for HIV-1 infection. Our study has thus identified a new candidate gene for AIDS molecular etiology and confirms the interest of singling out low-frequency SNPs to exploit GWAS data.
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Affiliation(s)
- Sigrid Le Clerc
- Chaire de Bioinformatique, Conservatoire National des Arts et Métiers, Paris, France
- Université Paris 12, INSERM U955, Créteil, France
- ANRS Genomic Group (French Agency for Research on AIDS and Hepatitis), Paris, France
| | - Cédric Coulonges
- Chaire de Bioinformatique, Conservatoire National des Arts et Métiers, Paris, France
- ANRS Genomic Group (French Agency for Research on AIDS and Hepatitis), Paris, France
| | - Olivier Delaneau
- Chaire de Bioinformatique, Conservatoire National des Arts et Métiers, Paris, France
| | - Danielle Van Manen
- Department of Experimental Immunology, Sanquin Research, Landsteiner Laboratory, Center for Infectious Diseases and Immunity Amsterdam (CINIMA) Academic Medical Center, University of Amsterdam, Amsterdam, Netherlands
| | - Joshua T. Herbeck
- University of Washington School of Medicine, Department of Microbiology, Seattle, WA, USA
| | - Sophie Limou
- Chaire de Bioinformatique, Conservatoire National des Arts et Métiers, Paris, France
- Université Paris 12, INSERM U955, Créteil, France
- ANRS Genomic Group (French Agency for Research on AIDS and Hepatitis), Paris, France
- CEA/Institut de Génomique, Centre National de Génotypage, Evry, France
| | - Ping An
- Laboratory of Genomic Diversity, SAIC-Frederick, Inc., National Cancer Institute-Frederick, Frederick, MD, USA
| | | | - Jean-Louis Spadoni
- Chaire de Bioinformatique, Conservatoire National des Arts et Métiers, Paris, France
| | - Amu Therwath
- Laboratoire d’Oncologie Moléculaire, Université Paris 7, Paris, France
| | - Jan H. Veldink
- Rudolf Magnus Institute of Neuroscience, Department of Neurology, University Medical Center Utrecht, 3584 CX, Utrecht, The Netherlands
| | - Leonard H. van den Berg
- Rudolf Magnus Institute of Neuroscience, Department of Neurology, University Medical Center Utrecht, 3584 CX, Utrecht, The Netherlands
| | - Lieng Taing
- Chaire de Bioinformatique, Conservatoire National des Arts et Métiers, Paris, France
| | - Taoufik Labib
- Chaire de Bioinformatique, Conservatoire National des Arts et Métiers, Paris, France
| | - Safa Mellak
- Chaire de Bioinformatique, Conservatoire National des Arts et Métiers, Paris, France
| | - Matthieu Montes
- Chaire de Bioinformatique, Conservatoire National des Arts et Métiers, Paris, France
| | | | - François Schächter
- Chaire de Bioinformatique, Conservatoire National des Arts et Métiers, Paris, France
| | - Cheryl Winkler
- Laboratory of Genomic Diversity, SAIC-Frederick, Inc., National Cancer Institute-Frederick, Frederick, MD, USA
| | - Philippe Froguel
- UMR CNRS 8090, Institut Pasteur de Lille, Lille, France
- Genomic Medicine, Hammersmith Hospital, Imperial College London, London, UK
| | - James I. Mullins
- University of Washington School of Medicine, Department of Microbiology, Seattle, WA, USA
| | - Hanneke Schuitemaker
- Department of Experimental Immunology, Sanquin Research, Landsteiner Laboratory, Center for Infectious Diseases and Immunity Amsterdam (CINIMA) Academic Medical Center, University of Amsterdam, Amsterdam, Netherlands
| | - Jean-François Zagury
- Chaire de Bioinformatique, Conservatoire National des Arts et Métiers, Paris, France
- Université Paris 12, INSERM U955, Créteil, France
- ANRS Genomic Group (French Agency for Research on AIDS and Hepatitis), Paris, France
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290
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Aouizerat BE, Pearce CL, Miaskowski C. The search for host genetic factors of HIV/AIDS pathogenesis in the post-genome era: progress to date and new avenues for discovery. Curr HIV/AIDS Rep 2011; 8:38-44. [PMID: 21221856 PMCID: PMC3035795 DOI: 10.1007/s11904-010-0065-1] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
Abstract
Though pursuit of host genetic factors that influence the pathogenesis of HIV began over two decades ago, progress has been slow. Initial genome-level searches for variations associated with HIV-related traits have yielded interesting candidates, but less in the way of novel pathways to be exploited for therapeutic targets. More recent genome-wide association studies (GWAS) that include different phenotypes, novel designs, and that have examined different population characteristics suggest novel targets and affirm the utility of additional searches. Recent findings from these GWAS are reviewed, new directions for research are identified, and the promise of systems biology to yield novel insights is discussed.
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Affiliation(s)
- Bradley E. Aouizerat
- Department of Physiological Nursing and Institute for Human Genetics, University of California San Francisco, San Francisco, CA 94143-0610 USA
| | - C. Leigh Pearce
- Department of Preventive Medicine, Norris Comprehensive Cancer Center, Keck School of Medicine, University of Southern California, Los Angeles, CA 90089 USA
| | - Christine Miaskowski
- Department of Physiological Nursing, University of California San Francisco, San Francisco, CA 94143-0610 USA
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291
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Bol SM, Moerland PD, Limou S, van Remmerden Y, Coulonges C, van Manen D, Herbeck JT, Fellay J, Sieberer M, Sietzema JG, van 't Slot R, Martinson J, Zagury JF, Schuitemaker H, van 't Wout AB. Genome-wide association study identifies single nucleotide polymorphism in DYRK1A associated with replication of HIV-1 in monocyte-derived macrophages. PLoS One 2011; 6:e17190. [PMID: 21364930 PMCID: PMC3045405 DOI: 10.1371/journal.pone.0017190] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2010] [Accepted: 01/21/2011] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND HIV-1 infected macrophages play an important role in rendering resting T cells permissive for infection, in spreading HIV-1 to T cells, and in the pathogenesis of AIDS dementia. During highly active anti-retroviral treatment (HAART), macrophages keep producing virus because tissue penetration of antiretrovirals is suboptimal and the efficacy of some is reduced. Thus, to cure HIV-1 infection with antiretrovirals we will also need to efficiently inhibit viral replication in macrophages. The majority of the current drugs block the action of viral enzymes, whereas there is an abundance of yet unidentified host factors that could be targeted. We here present results from a genome-wide association study identifying novel genetic polymorphisms that affect in vitro HIV-1 replication in macrophages. METHODOLOGY/PRINCIPAL FINDINGS Monocyte-derived macrophages from 393 blood donors were infected with HIV-1 and viral replication was determined using Gag p24 antigen levels. Genomic DNA from individuals with macrophages that had relatively low (n = 96) or high (n = 96) p24 production was used for SNP genotyping with the Illumina 610 Quad beadchip. A total of 494,656 SNPs that passed quality control were tested for association with HIV-1 replication in macrophages, using linear regression. We found a strong association between in vitro HIV-1 replication in monocyte-derived macrophages and SNP rs12483205 in DYRK1A (p = 2.16 × 10(-5)). While the association was not genome-wide significant (p<1 × 10(-7)), we could replicate this association using monocyte-derived macrophages from an independent group of 31 individuals (p = 0.0034). Combined analysis of the initial and replication cohort increased the strength of the association (p = 4.84 × 10(-6)). In addition, we found this SNP to be associated with HIV-1 disease progression in vivo in two independent cohort studies (p = 0.035 and p = 0.0048). CONCLUSIONS/SIGNIFICANCE These findings suggest that the kinase DYRK1A is involved in the replication of HIV-1, in vitro in macrophages as well as in vivo.
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Affiliation(s)
- Sebastiaan M. Bol
- Landsteiner Laboratory, Sanquin Research, Department of Experimental Immunology, and Center for Infection and Immunity Amsterdam (CINIMA) at the Academic Medical Center of the University of Amsterdam, Amsterdam, The Netherlands
| | - Perry D. Moerland
- Bioinformatics Laboratory, Department of Clinical Epidemiology, Biostatistics and Bioinformatics, Academic Medical Center of the University of Amsterdam, The Netherlands
- Netherlands Bioinformatics Center (NBIC), Nijmegen, The Netherlands
| | - Sophie Limou
- Chaire de Bioinformatique, Conservatoire National des Arts et Métiers, Paris, France
- Université Paris 12, INSERM U955, Paris, France
| | - Yvonne van Remmerden
- Landsteiner Laboratory, Sanquin Research, Department of Experimental Immunology, and Center for Infection and Immunity Amsterdam (CINIMA) at the Academic Medical Center of the University of Amsterdam, Amsterdam, The Netherlands
| | - Cédric Coulonges
- Chaire de Bioinformatique, Conservatoire National des Arts et Métiers, Paris, France
- Université Paris 12, INSERM U955, Paris, France
| | - Daniëlle van Manen
- Landsteiner Laboratory, Sanquin Research, Department of Experimental Immunology, and Center for Infection and Immunity Amsterdam (CINIMA) at the Academic Medical Center of the University of Amsterdam, Amsterdam, The Netherlands
| | - Joshua T. Herbeck
- Department of Microbiology, University of Washington School of Medicine, Seattle, Washington, United States of America
| | - Jacques Fellay
- Center for Human Genome Variation, Duke University, Durham, North Carolina, United States of America
| | - Margit Sieberer
- Landsteiner Laboratory, Sanquin Research, Department of Experimental Immunology, and Center for Infection and Immunity Amsterdam (CINIMA) at the Academic Medical Center of the University of Amsterdam, Amsterdam, The Netherlands
| | - Jantine G. Sietzema
- Landsteiner Laboratory, Sanquin Research, Department of Experimental Immunology, and Center for Infection and Immunity Amsterdam (CINIMA) at the Academic Medical Center of the University of Amsterdam, Amsterdam, The Netherlands
| | - Ruben van 't Slot
- Complex Genetics Section, Department of Biomedical Genetics, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Jeremy Martinson
- Department of Human Genetics, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America
| | - Jean-François Zagury
- Chaire de Bioinformatique, Conservatoire National des Arts et Métiers, Paris, France
- Université Paris 12, INSERM U955, Paris, France
| | - Hanneke Schuitemaker
- Landsteiner Laboratory, Sanquin Research, Department of Experimental Immunology, and Center for Infection and Immunity Amsterdam (CINIMA) at the Academic Medical Center of the University of Amsterdam, Amsterdam, The Netherlands
| | - Angélique B. van 't Wout
- Landsteiner Laboratory, Sanquin Research, Department of Experimental Immunology, and Center for Infection and Immunity Amsterdam (CINIMA) at the Academic Medical Center of the University of Amsterdam, Amsterdam, The Netherlands
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292
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Mendelian randomization: potential use of genetics to enable causal inferences regarding HIV-associated biomarkers and outcomes. Curr Opin HIV AIDS 2011; 5:545-59. [PMID: 20978399 DOI: 10.1097/coh.0b013e32833f2087] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
PURPOSE OF REVIEW It is unknown whether biomarkers simply correlate with or are causal for HIV-associated outcomes. Mendelian randomization is a genetic epidemiologic approach used to disentangle causation from association. Here, we discuss the potential use of Mendelian randomization for differentiating whether biomarkers are correlating with or causal for HIV-associated outcomes. RECENT FINDINGS Mendelian randomization refers to the random allocation of alleles at the time of gamete formation. In observational epidemiology, this refers to the use of genetic variants to estimate a causal effect between a modifiable risk factor and an outcome of interest. A formal Mendelian randomization study using a genetic marker as a proxy for the biomarker has not been conducted in the HIV field. However, in the postgenomic era, this approach is being used increasingly. Examples are evidence for the causal role of BMI in blood pressure and noncausal role of C-reactive protein in coronary heart disease. We discuss the conceptual framework, uses, and limitations of Mendelian randomization in the context of HIV infection as well as specific biomarkers (IL-6, C-reactive protein) and genetic determinants (e.g., in CCR5, chemokine, and DARC genes) that associate with HIV-related outcomes. SUMMARY Making the distinction between correlation and causality has particular relevance when a biomarker (e.g., IL-6) is potentially modifiable, in which case a biomarker-guided targeted treatment strategy may be feasible. Although the tenets of Mendelian randomization rest on strong assumptions, and conducting a Mendelian randomization study in HIV infection presents many challenges, it may offer the potential to identify causal biomarkers for HIV-associated outcomes.
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293
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Common human genetic variants and HIV-1 susceptibility: a genome-wide survey in a homogeneous African population. AIDS 2011; 25:513-8. [PMID: 21160409 DOI: 10.1097/qad.0b013e328343817b] [Citation(s) in RCA: 72] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
OBJECTIVE To date, CCR5 variants remain the only human genetic factors to be confirmed to impact HIV-1 acquisition. However, protective CCR5 variants are largely absent in African populations, in which sporadic resistance to HIV-1 infection is still unexplained. We investigated whether common genetic variants associate with HIV-1 susceptibility in Africans. METHODS We performed a genome-wide association study (GWAS) in a population of 1532 individuals from Malawi, a country with high prevalence of HIV-1 infection. Using single-nucleotide polymorphisms (SNPs) present on the genome-wide chip, we also investigated previously reported associations with HIV-1 susceptibility or acquisition. Recruitment was coordinated by the Center for HIV/AIDS Vaccine Immunology at two sexually transmitted infection clinics. HIV status was determined by HIV rapid tests and nucleic acid testing. RESULTS After quality control, the population consisted of 848 high-risk seronegative and 531 HIV-1 seropositive individuals. Logistic regression testing in an additive genetic model was performed for SNPs that passed quality control. No single SNP yielded a significant P value after correction for multiple testing. The study was sufficiently powered to detect markers with genotype relative risk 2.0 or more and minor allele frequencies 12% or more. CONCLUSION This is the first GWAS of host determinants of HIV-1 susceptibility, performed in an African population. The absence of any significant association can have many possible explanations: rarer genetic variants or common variants with weaker effect could be responsible for the resistance phenotype; alternatively, resistance to HIV-1 infection might be due to nongenetic parameters or to complex interactions between genes, immunity and environment.
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294
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Guo Y, Luo J, Wang J, Wang Y, Wu R. How to compute which genes control drug resistance dynamics. Drug Discov Today 2011; 16:339-44. [PMID: 21315181 DOI: 10.1016/j.drudis.2011.02.004] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2010] [Revised: 01/20/2011] [Accepted: 02/01/2011] [Indexed: 01/13/2023]
Abstract
Increasing evidence shows that genes have a pivotal role in affecting the dynamic pattern of viral loads in the body of a host. By reviewing the biochemical interactions between a virus and host cells as a dynamic system, we outline a computational approach for mapping the genetic control of virus dynamics. The approach integrates differential equations (DEs) to quantify the dynamic origin and behavior of a viral infection system. It enables geneticists to generate various testable hypotheses about the genetic control mechanisms for virus dynamics and infection. The experiment designed according to this approach will also enable researchers to gain insight into the role of genes in limiting virus abundance and the dynamics of viral drug resistance, facilitating the development of personalized medicines to eliminate viral infections.
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Affiliation(s)
- Yunqian Guo
- Center for Computational Biology, Beijing Forestry University, Beijing 100083, China
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Jennes W, Verheyden S, Demanet C, Menten J, Vuylsteke B, Nkengasong JN, Kestens L. Low CD4+ T cell counts among African HIV-1 infected subjects with group B KIR haplotypes in the absence of specific inhibitory KIR ligands. PLoS One 2011; 6:e17043. [PMID: 21347267 PMCID: PMC3038936 DOI: 10.1371/journal.pone.0017043] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2010] [Accepted: 01/14/2011] [Indexed: 12/26/2022] Open
Abstract
Natural killer (NK) cells are regulated by interactions between polymorphic killer immunoglobulin-like receptors (KIR) and human leukocyte antigens (HLA). Genotypic combinations of KIR3DS1/L1 and HLA Bw4-80I were previously shown to influence HIV-1 disease progression, however other KIR genes have not been well studied. In this study, we analyzed the influence of all activating and inhibitory KIR, in association with the known HLA inhibitory KIR ligands, on markers of disease progression in a West African population of therapy-naïve HIV-1 infected subjects. We observed a significant association between carriage of a group B KIR haplotype and lower CD4+ T cell counts, with an additional effect for KIR3DS1 within the frame of this haplotype. In contrast, we found that individuals carrying genes for the inhibitory KIR ligands HLA-Bw4 as well as HLA-C1 showed significantly higher CD4+ T cell counts. These associations were independent from the viral load and from individual HIV-1 protective HLA alleles. Our data suggest that group B KIR haplotypes and lack of specific inhibitory KIR ligand genes, genotypes considered to favor NK cell activation, are predictive of HIV-1 disease progression.
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Affiliation(s)
- Wim Jennes
- Department of Microbiology, Institute of Tropical Medicine, Antwerp, Belgium.
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296
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Abstract
Macrophages and CD4+ T cells are natural target cells for HIV-1, and both cell types contribute to the establishment of the viral reservoir that is responsible for continuous residual virus replication during antiretroviral therapy and viral load rebound upon treatment interruption. Scientific findings that support a critical role for the infected monocyte/macrophage in HIV-1-associated diseases, such as neurological disorders and cardiovascular disease, are accumulating. To prevent or treat these HIV-1-related diseases, we need to halt HIV-1 replication in the macrophage reservoir. This article describes our current knowledge of how monocytes and certain macrophage subsets are able to restrict HIV-1 infection, in addition to what makes macrophages respond less well to current antiretroviral drugs as compared with CD4+ T cells. These insights will help to find novel approaches that can be used to meet this challenge.
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Affiliation(s)
- Sebastiaan M Bol
- Department of Experimental Immunology, Sanquin Research, Landsteiner Laboratory, and Center for Infectious Diseases and Immunity Amsterdam (CINIMA) at the Academic Medical Center of the University of Amsterdam, Meibergdreef 15, 1105 AZ Amsterdam, The Netherlands
| | - Viviana Cobos-Jiménez
- Department of Experimental Immunology, Sanquin Research, Landsteiner Laboratory, and Center for Infectious Diseases and Immunity Amsterdam (CINIMA) at the Academic Medical Center of the University of Amsterdam, Meibergdreef 15, 1105 AZ Amsterdam, The Netherlands
| | - Neeltje A Kootstra
- Department of Experimental Immunology, Sanquin Research, Landsteiner Laboratory, and Center for Infectious Diseases and Immunity Amsterdam (CINIMA) at the Academic Medical Center of the University of Amsterdam, Meibergdreef 15, 1105 AZ Amsterdam, The Netherlands
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297
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Bizinoto MC, Leal É, Diaz RS, Janini LM. Loci polymorphisms of the APOBEC3G gene in HIV type 1-infected Brazilians. AIDS Res Hum Retroviruses 2011; 27:137-41. [PMID: 20874421 DOI: 10.1089/aid.2010.0146] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
The human APOBEC3G (A3G) protein activity obstructs retrovirus infection by inducing mutations of guanosines to adenosines (G → A) in the viral DNA. These G → A mutations may disrupt the reading frames of the viral genes. It has been observed that A3G polymorphisms can affect the degree of G → A mutations and the disease progression. For example, one study showed that the nonsynonymous substitution H186R was linked to AIDS progression in African Americans. Other studies, however, found no association between A3G polymorphisms and progression to AIDS in Europeans or in Asians. The genetic structure of a host population likely affects the dynamics of HIV-1 infection. The AIDS infection in Brazil is unique because of the high incidence of isolates with an unusual motif (GWGR) at the V3 region of the env gene. Since the Brazilian population is a mix of Portuguese, native Amerindians, and Africans we aimed to explore the influence of A3G polymorphisms in HIV-1 infection in this heterogeneous host population. We analyzed seven loci polymorphisms of A3G in 400 HIV-1-infected individuals naive to drug therapy. Our findings indicated no significant influence of A3G polymorphisms on disease status. The exception was the SNP -571 (rs5757463) in which heterozygous individuals (C/G) and homozygous individuals (G/G) presented lower CD4(+) T cell counts compared to homozygous (C/C) individuals (Mann-Whitney test p-value = 0.0076). Furthermore, the loci diversity of A3G in Brazilians was similar to that of Europeans. Consequently, if there is any host factor that could be used to explain the peculiar subtype B HIV-1 infection in Brazil it is not associated with the innate immunity of the A3G gene.
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Affiliation(s)
| | - Élcio Leal
- Federal University of Pará, Belém, PA, Brazil
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298
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Fellay J, Frahm N, Shianna KV, Cirulli ET, Casimiro DR, Robertson MN, Haynes BF, Geraghty DE, McElrath MJ, Goldstein DB. Host genetic determinants of T cell responses to the MRKAd5 HIV-1 gag/pol/nef vaccine in the step trial. J Infect Dis 2011; 203:773-9. [PMID: 21278214 DOI: 10.1093/infdis/jiq125] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
Understanding how human genetic variation impacts individual response to immunogens is fundamental for rational vaccine development. To explore host mechanisms involved in cellular immune responses to the MRKAd5 human immunodeficiency virus type 1 (HIV-1) gag/pol/nef vaccine tested in the Step trial, we performed a genome-wide association study of determinants of HIV-specific T cell responses, measured by interferon γ enzyme-linked immunospot assays. No human genetic variant reached genome-wide significance, but polymorphisms located in the major histocompatibility complex (MHC) region showed the strongest association with response to the HIV-1 Gag protein: HLA-B alleles known to be associated with differences in HIV-1 control were responsible for these associations. The implication of the same HLA alleles in vaccine-induced cellular immunity and in natural immune control is of relevance for vaccine design. Furthermore, our results demonstrate the importance of considering the host immunogenetic background in the analysis of immune responses to T cell vaccines.
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Affiliation(s)
- Jacques Fellay
- Center for Human Genome Variation, Duke University School of Medicine, Durham, NC 27708, USA.
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299
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Abstract
PURPOSE OF REVIEW This review summarizes recent developments related to cofactors that may influence response to vaccination. RECENT FINDINGS The unexpected increased HIV acquisition among vaccinees in the Step trial with prior exposure to adenovirus type 5 (Ad5) led to several studies trying to understand whether an underlying biological risk factor may have been responsible for this observation. Demographic factors and genetic background of the human populations in HIV vaccine trials remain a source of potential variation in responses observed in vaccine trials, yet empirical data remain limited on the impact of those factors. Coinfections, particularly those that may modulate the immune response, are a further concern for HIV vaccine trialists, with recent data providing further insight into effects of coinfections on innate and adaptive immunity and vaccine responses. SUMMARY Individuals and human populations display variation in response to vaccination. Key explanatory variables for this variation include host factors, such as host genetics, and environmental factors, such as prior exposure to the vaccine vector, coinfection with other pathogens, and demographic factors. This review will outline some of the recent developments investigating the role of various cofactors on vaccine responses, with a particular emphasis on studies of HIV vaccines.
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300
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Feng S, Wang S, Chen CC, Lan L. GWAPower: a statistical power calculation software for genome-wide association studies with quantitative traits. BMC Genet 2011; 12:12. [PMID: 21255436 PMCID: PMC3036643 DOI: 10.1186/1471-2156-12-12] [Citation(s) in RCA: 52] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2010] [Accepted: 01/21/2011] [Indexed: 11/25/2022] Open
Abstract
Background In designing genome-wide association (GWA) studies it is important to calculate statistical power. General statistical power calculation procedures for quantitative measures often require information concerning summary statistics of distributions such as mean and variance. However, with genetic studies, the effect size of quantitative traits is traditionally expressed as heritability, a quantity defined as the amount of phenotypic variation in the population that can be ascribed to the genetic variants among individuals. Heritability is hard to transform into summary statistics. Therefore, general power calculation procedures cannot be used directly in GWA studies. The development of appropriate statistical methods and a user-friendly software package to address this problem would be welcomed. Results This paper presents GWAPower, a statistical software package of power calculation designed for GWA studies with quantitative traits, where genetic effect is defined as heritability. Based on several popular one-degree-of-freedom genetic models, this method avoids the need to specify the non-centrality parameter of the F-distribution under the alternative hypothesis. Therefore, it can use heritability information directly without approximation. In GWAPower, the power calculation can be easily adjusted for adding covariates and linkage disequilibrium information. An example is provided to illustrate GWAPower, followed by discussions. Conclusions GWAPower is a user-friendly free software package for calculating statistical power based on heritability in GWA studies with quantitative traits. The software is freely available at: http://dl.dropbox.com/u/10502931/GWAPower.zip
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Affiliation(s)
- Sheng Feng
- Deaprtment of Biostatistics and Bioinformatics, Duke University, Durham, North Carolina 27710, USA.
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