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Record W4414104862 · doi:10.1016/j.cjco.2025.09.003

Spectrum of DNA Variants in Southwestern Ontario Patients with Familial Hypercholesterolemia

2025· article· en· W4414104862 on OpenAlexaffabout
Sanaz Lordfard, Jian Wang, Adam D. McIntyre, Brooke A. Kennedy, Robert A. Hegele

Bibliographic record

VenueCJC Open · 2025
Typearticle
Languageen
FieldMedicine
TopicLipoproteins and Cardiovascular Health
Canadian institutionsWestern University
Fundersnot available
KeywordsFamilial hypercholesterolemiaDNAGenetic variantsGenetic variationGenetic diversityAlleleGenomeDiversity (politics)

Abstract

fetched live from OpenAlex

Background: Heterozygous familial hypercholesterolemia (HeFH) is the most prevalent inherited dyslipidemia, and it predisposes individuals to premature atherosclerotic cardiovascular disease. Genetic testing can provide a definitive diagnosis. The spectrum of causal DNA variants in Ontario patients with hypercholesterolemia is not fully defined. Methods: In Southwestern Ontario patients with a clinical diagnosis of HeFH, we performed targeted next-generation DNA sequencing and bioinformatic analysis to determine the qualitative and quantitative spectrum of pathogenic and likely pathogenic (P/LP) variants. Results: p.C681X Middle Eastern variant, seen in 15.4%, 7.1%, and 3.1% of patients, respectively. About three-quarters of variants originated in Europe, with others from Asia, Africa, and the Middle East. Conclusions: This study provides a comprehensive overview of the clinical and genetic spectrum of HeFH in Southwestern Ontario. The P/LP variant diversity reflects historical colonization and later migration patterns both from across the world and interprovincially from Quebec.

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.

How this classification was reachedexpand

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)0.000
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 score0.036
Threshold uncertainty score0.952

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.011
GPT teacher head0.253
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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes2
Has abstractyes

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