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Polymorphisms of large effect explain the majority of the host genetic contribution to variation of HIV-1 virus load

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Lenz,  Tobias L.
Emmy Noether Research Group Evolutionary Immunogenomics, Department Evolutionary Ecology, Max Planck Institute for Evolutionary Biology, Max Planck Society;

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引用

McLaren, P. J., Coulonges, C., Bartha, I., Lenz, T. L., Deutsch, A. J., Bashirova, A., Buchbinder, S., Carrington, M. N., Cossarizza, A., Dalmau, J., Luca, A. D., Goedert, J. J., Gurdasani, D., Haas, D. W., Herbeck, J. T., Johnson, E. O., Kirk, G. D., Lambotte, O., Luo, M., Mallal, S., van Manen, D., Martinez-Picado, J., Meyer, L., Miro, J. M., Mullins, J. I., Obel, N., Poli, G., Sandhu, M. S., Schuitemaker, H., Shea, P. R., Theodorou, I., Walker, B. D., Weintrob, A. C., Winkler, C. A., Wolinsky, S. M., Raychaudhuri, S., Goldstein, D. B., Telenti, A., de Bakker, P. I. W., Zagury, J.-F., & Fellay, J. (2015). Polymorphisms of large effect explain the majority of the host genetic contribution to variation of HIV-1 virus load. Proceedings of the National Academy of Sciences of the United States of America. doi:10.1073/pnas.1514867112.


引用: https://hdl.handle.net/11858/00-001M-0000-0029-1A6F-7
要旨
Previous genome-wide associat ion studies (GWAS) of HIV-1 – infected populations have been underpowered to detect common variants with moderate impact on disease outcome and have not assessed the phenotypic variance explained by genome-wide additive effects. By combining the majority of available genome-wide genotyping data in HIV-infected populations, we tested for association between ∼ 8 million variants and viral load (HIV RNA copies per milliliter of plasma) in 6,315 individuals of Eur opean ancestry. The strongest sig- nal of association was observed in the HLA class I region that was fully explained by independent effects mapping to five variable amino acid positions in the peptide binding grooves of the HLA-B and HLA-A proteins. We observed a second genome-wide significant association signal in the chemokine (C-C motif) receptor (CCR) gene cluster on chromosome 3. Conditional a nalysis showed that this signal could not be fully attributed to the known protective CCR5 Δ 32 allele and the risk P1 haplotype, suggesting further causal variants in this region. Heritability analysis demonstrated that common human ge- netic variation — mostly in the HLA and CCR5 regions — explains 25% of the variability in viral load. This study suggests that analyses in non-European populations and of variant classes not assessed by GWAS should be priorities for the field going forward.