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Record W7161960610 · doi:10.82308/37464

Novel genetic determinants of high-density lipoprotein cholesterol (HDL-C) in the French Canadian population

2009· dissertation· en· W7161960610 on OpenAlexaboutno aff
Zari Dastani

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldMedicine
TopicDiabetes, Cardiovascular Risks, and Lipoproteins
Canadian institutionsnot available
Fundersnot available
KeywordsGenetic linkageCentimorganQuantitative trait locusLocus (genetics)PopulationGeneGenetic associationIdentity by descentGenotypingGenetic marker

Abstract

fetched live from OpenAlex

HDL-C levels, are an independent risk factor for heart disease, and are influenced by multiple genes and environmental factors. Choosing an isolated population could reduce the heterogeneity and increase power to discover susceptibility genes for low HDL-C. To identify novel genetic determinants that contribute to HDL-C levels, I used several genetic approaches on highly informative families of French Canadian descent with probands selected for HDL-C levels < 5th% (age and sex specific). The estimated heritability of HDL-C for this cohort was 0.73. Using a candidate gene approach, I identified a novel mutation of ApoAI (apo AIE136X) in three probands. Segregation analysis showed a strong co-segregation of the ApoAI allele with the low HDL-C trait in these kindreds. I also performed whole genome linkage analysis using 485 markers situated at intervals of 6 centiMorgans (cM). In parametric two-point linkage analyses, the highest two-point LOD score of 4.6 was observed with the marker D4S424 on chromosome 4q31.21. I further refined the linked region from 12.2 cM to 2.9 cM (2.37 Mb) by genotyping 15 additional markers in the three families with the highest LOD-scores. None of the genes residing in the significantly restricted 2.37 Mb region has previously been associated with HDL-C metabolism. In quantitative linkage analysis, I identified significant linkage to a locus on chromosome 16q23-24 that had been previously implicated in linkage scans for HDL-C. I examined this region for association using both family-based and case-control analyses. Within an 18.1 cM region (7.8 Mb) four families demonstrated segregation. All coding regions and exon-intron boundaries of all genes within this region were sequenced. A missense variant in the CHST6 gene showed segregation in four families. An association analysis that included all of the French Canadian families as well as other cohorts showed association for one com

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.026
Threshold uncertainty score0.070

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0040.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.246
Teacher spread0.235 · 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 source (direct Gemma or distilled Codex), 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
Published2009
Admission routes1
Has abstractyes

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