The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Genomewide Association Study of an AIDS‐Nonprogression Cohort Emphasizes the Role Played by HLA Genes (ANRS Genomewide Association Study 02)
Abstract
To elucidate the genetic factors predisposing to AIDS progression, we analyzed a unique cohort of 275 human immunodeficiency virus (HIV) type 1-seropositive nonprogressor patients in relation to a control group of 1352 seronegative individuals in a genomewide association study (GWAS). The strongest association was obtained for HCP5 rs2395029 (P=6.79x10(-10); odds ratio, 3.47) and was possibly linked to an effect of sex. Interestingly, this single-nucleotide polymorphism (SNP) was in high linkage disequilibrium with HLA-B, MICB, TNF, and several other HLA locus SNPs and haplotypes. A meta-analysis of our genomic data combined with data from the previously conducted Euro-CHAVI (Center for HIV/AIDS Vaccine Immunology) GWAS confirmed the HCP5 signal (P=3.02x10(-19)) and identified several new associations, all of them involving HLA genes: MICB, TNF, RDBP, BAT1-5, PSORS1C1, and HLA-C. Finally, stratification by HCP5 rs2395029 genotypes emphasized an independent role for ZNRD1, also in the HLA locus, and this finding was confirmed by experimental data. The present study, the first GWAS of HIV-1 nonprogressors, underscores the potential for some HLA genes to control disease progression soon after infection.
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PLINK: a tool set for whole-genome association and population-based linkage analyses.
Purcell, S., Neale, B., Todd-Brown, K., Thomas, L., Ferreira, M. A. R., Bender, D., Maller, J., Sklar, P., de Bakker, P. I. W., Daly, M. J., et al. (2007) · The American Journal of Human Genetics · doi:10.1086/519795 · Cited by 34,089
Genomic Control for Association Studies
Devlin, B., & Roeder, K. (1999) · Biometrics · doi:10.1111/j.0006-341x.1999.00997.x · Cited by 3,162 · cited 1×
“We also computed the genomic inflation factor [12].”
MethodIdentification of host proteins required for HIV infection through a functional genomic screen
Brass, A. L., Dykxhoorn, D. M., Benita, Y., Yan, N., Engelman, A., Xavier, R. J., Lieberman, J., & Elledge, S. J. (2008) · Science · doi:10.1126/science.1152725 · Cited by 1,449 · cited 1×
“and replication [32], suggesting that this RNA polymerase I sub-”
Backgroundde Bakker, P. I. W., McVean, G., Sabeti, P. C., Miretti, M. M., Green, T., Marchini, J., Ke, X., Monsuur, A. J., Whittaker, P., Delgado, M., et al. (2006) · Nature Genetics · doi:10.1038/ng1885 · Cited by 766
A Conserved mRNA Export Machinery Coupled to pre-mRNA Splicing
Reed, R., & Hurt, E. (2002) · Cell · doi:10.1016/s0092-8674(02)00627-x · Cited by 400
Kamatani, Y., Matsuda, K., Ohishi, T., Ohtsubo, S., Yamazaki, K., Iida, A., Hosono, N., Kubo, M., Yumura, W., Nitta, K., et al. (2008) · Journal of Human Genetics · doi:10.1007/s10038-007-0219-1 · Cited by 31 · cited 1×
“For instance, tenascin XB (TNXB) is an extracellular matrix protein previously associated with systemic lupus erythematosus [26], HLA-B–associated transcript (BAT) 2 is a potential splicing factor previously associated with rheumatoid arthritis [27], BAT3 is an essential regulator of apoptosis and p53-mediated respons…”
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Cited by
The mRNA-Bound Proteome and Its Global Occupancy Profile on Protein-Coding Transcripts
Baltz, A. G., Munschauer, M., Schwanhäusser, B., Vasile, A., Murakawa, Y., Schueler, M., Youngs, N., Penfold-Brown, D., Drew, K., Milek, M., et al. (2012) · Molecular Cell · doi:10.1016/j.molcel.2012.05.021 · Cited by 1,198
The MHC locus and genetic susceptibility to autoimmune and infectious diseases
Matzaraki, V., Kumar, V., Wijmenga, C., & Zhernakova, A. (2017) · Genome biology · doi:10.1186/s13059-017-1207-1 · Cited by 566
Fairfax, B. P., Makino, S., Radhakrishnan, J., Plant, K., Leslie, S., Dilthey, A., Ellis, P., Langford, C., Vannberg, F. O., & Knight, J. C. (2012) · Nature Genetics · doi:10.1038/ng.2205 · Cited by 486
Hunter-gatherer genomic diversity suggests a southern African origin for modern humans
Henn, B. M., Gignoux, C. R., Jobin, M., Granka, J. M., Macpherson, J. M., Kidd, J. M., Rodríguez-Botigué, L., Ramachandran, S., Hon, L., Brisbin, A., et al. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1017511108 · Cited by 502
Common Genetic Variation and the Control of HIV-1 in Humans
Fellay, J., Ge, D., Shianna, K. V., Colombo, S., Ledergerber, B., Cirulli, E. T., Urban, T. J., Zhang, K., Gumbs, C. E., Smith, J. P., et al. (2009) · PLoS Genetics · doi:10.1371/journal.pgen.1000791 · Cited by 419
Metadata
- Authors
- Limou, S., Le Clerc, S., Coulonges, C., Carpentier, W., Dina, C., Delaneau, O., Labib, T., Taing, L., Sladek, R., ANRS Genomic Group, Deveau, C., Ratsimandresy, R., Montes, M., Spadoni, J., Lelièvre, J., Lévy, Y., Therwath, A., Schächter, F., Matsuda, F., Gut, I., Froguel, P., Delfraissy, J., Hercberg, S., & Zagury, J.
- Venue
- The Journal of Infectious Diseases
- Publisher
- Oxford University Press (OUP)
- Published
- 2009-02
- Volume
- 199
- Issue
- 3
- Pages
- 419-426
- ISSN
- 0022-1899 (ISSN-L)
- 1537-6613
- OpenAlex
- W2165579407
- Cited by
- 239
- References
- 6
- FWCI
- 9.36
- Type
- journal article
- Language
- en
- Open access
- closed
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