The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
The Major Genetic Determinants of HIV-1 Control Affect HLA Class I Peptide Presentation
Open accessAbstract
Getting HIV Under Control: Approximately 1 in 300 people infected with HIV are HIV “controllers” who are able to maintain long-term control of the virus without medication and who do not progress to AIDS. Uncovering the genetic basis for this ability is of great interest. Pereyra et al. (p. 1551 , published online 4 November; see the Perspective by McMichael and Jones ) now present genome-wide association results from patients enrolled in the International HIV Controllers Study. The analysis compared HIV controllers of European, African-American, and Hispanic descent with HIV progressors and found >300 variants that reached genome-wide significance, all of which were in the major histocompatibility class I (HLA) region on chromosome 6. Analysis of the effects of individual amino acids within classical HLA proteins revealed six independently significant residues, five of which lined the peptide-binding groove. Thus, differences in binding to viral peptide antigens by HLA may be the major factors underlying genetic differences between HIV controllers and progressors.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
A note on a general definition of the coefficient of determination
NAGELKERKE, N. J. D. (1991) · Biometrika · doi:10.1093/biomet/78.3.691 · Cited by 5,927
Integrating common and rare genetic variation in diverse human populations
The International HapMap 3 Consortium (2010) · Nature · doi:10.1038/nature09298 · Cited by 3,026
de 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
Cited by
Genome-wide association studies
Uffelmann, E., Huang, Q. Q., Munung, N. S., de Vries, J., Okada, Y., Martin, A. R., Martin, H. C., Lappalainen, T., & Posthuma, D. (2021) · Nature Reviews Methods Primers · doi:10.1038/s43586-021-00056-9 · Cited by 1,849
Patient HLA class I genotype influences cancer response to checkpoint blockade immunotherapy
Chowell, D., Morris, L. G. T., Grigg, C. M., Weber, J. K., Samstein, R. M., Makarov, V., Kuo, F., Kendall, S. M., Requena, D., Riaz, N., et al. (2018) · Science · doi:10.1126/science.aao4572 · Cited by 1,142
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
Exome sequencing and the genetic basis of complex traits
Kiezun, A., Garimella, K., Do, R., Stitziel, N. O., Neale, B. M., McLaren, P. J., Gupta, N., Sklar, P., Sullivan, P. F., Moran, J. L., et al. (2012) · Nature Genetics · doi:10.1038/ng.2303 · Cited by 372
Metadata
- Authors
- Study, T. I. H. C.
- Venue
- Science
- Published
- 2010-12-10
- Volume
- 330
- Issue
- 6010
- Pages
- 1551-1557
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2109130469
- Cited by
- 1,171
- References
- 3
- FWCI
- 38.20
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The Major Genetic Determinants of HIV-1 Control Affect HLA Class I Peptide Presentation. https://app.cochat.ai/papers/10.1126/science.1195271
- The paper
- Study, T. I. H. C. (2010). The Major Genetic Determinants of HIV-1 Control Affect HLA Class I Peptide Presentation. Science. https://doi.org/10.1126/science.1195271
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
