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Record W2120418867 · doi:10.1086/498877

Genetic Variants in Nonclassical Major Histocompatibility Complex Class I Human Leukocyte Antigen (HLA)–E and HLA‐G Molecules Are Associated with Susceptibility to Heterosexual Acquisition of HIV‐1

2005· article· en· W2120418867 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueThe Journal of Infectious Diseases · 2005
Typearticle
Languageen
FieldImmunology and Microbiology
TopicReproductive System and Pregnancy
Canadian institutionsCentre Hospitalier de l’Université de MontréalMcGill University Health CentreUniversité de MontréalHôpital Notre-Dame
Fundersnot available
KeywordsHuman leukocyte antigenImmunologyHeterozygote advantageGenotypeAlleleHistocompatibilityMajor histocompatibility complexBiologyPopulationAntigenImmune systemGeneticsVirologyMedicineGene

Abstract

fetched live from OpenAlex

Human leukocyte antigen (HLA)-E and HLA-G molecules act as powerful modulators of the innate immune response. The present study shows that the HLA-E(G) genetic variant (the HLA-E*0103 allele) alone is significantly (P = .001) associated with a 4.0-fold decreased risk of human immunodeficiency virus 1 (HIV-1) infection in Zimbabwean women. Furthermore, women carrying the combination of the protective HLA-E(G) homozygote and HLA-G*0105N heterozygote genotypes had a 12.5-fold decreased risk of HIV-1 infection (P = .03), compared with women carrying neither genotype. These associations remained significant after adjustment was made for other significant sociodemographic risk factors for HIV prevalence in this population. In conclusion, HLA-E and HLA-G polymorphisms can independently and synergistically influence susceptibility to heterosexual acquisition of HIV-1.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.131
Threshold uncertainty score0.497

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.015
GPT teacher head0.256
Teacher spread0.241 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it