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Record W2143429821 · doi:10.4049/jimmunol.173.7.4273

Cutting Edge: Heterozygote Advantage in Autoimmune Disease: Hierarchy of Protection/Susceptibility Conferred by HLA and Killer Ig-Like Receptor Combinations in Psoriatic Arthritis

2004· article· en· W2143429821 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 Immunology · 2004
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmune Cell Function and Interaction
Canadian institutionsUniversity Health NetworkToronto Western Hospital
FundersNational Cancer Institute
KeywordsImmunologyPsoriatic arthritisHLA-B27Heterozygote advantageHuman leukocyte antigenMedicineArthritisBiologyGeneticsAntigenAlleleGene

Abstract

fetched live from OpenAlex

Functionally relevant combinations of HLA and killer Ig-like receptor (KIR) genotypes influence resistance to several diseases in humans. Analysis of genetic data from such studies is challenging because it involves multiple linked and unlinked loci that exert their influence in an epistatic manner. We previously reported that subjects with certain activating receptors were susceptible to developing psoriatic arthritis (PsA), an effect that was strongest when HLA ligands for corresponding homologous inhibitory receptors were missing. In this study, we present a novel model in which susceptibility to PsA is determined by the overall balance of activating and inhibitory composite KIR-HLA genotypes. This model fits our knowledge of clonal NK cell expression of KIR and regulation of NK cell activity better than does the previous model, as reflected in a robust trend for increasing susceptibility to PsA with more activating genotypes. These data emphasize the remarkable influence of KIR/HLA combinations on this disease.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.654
Threshold uncertainty score0.572

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.008
GPT teacher head0.230
Teacher spread0.222 · 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