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Abstract 3454: Fine Mapping Of A Chromosome 16 Locus Associated With Low High-density Lipoprotein Cholesterol Level (HDL-C) In French Canadian Subjects

2007· article· en· W72370645 on OpenAlexaffabout
Zari Dastani, Michel Marcil, Jenny C. Lee, Päivi Pajukanta, Daniel Gaudet, Jacques Genest, James C. Engert

Bibliographic record

VenueCirculation · 2007
Typearticle
Languageen
FieldImmunology and Microbiology
TopicAtherosclerosis and Cardiovascular Diseases
Canadian institutionsUniversité du Québec à ChicoutimiMcGill University Health Centre
Fundersnot available
KeywordsSingle-nucleotide polymorphismLocus (genetics)HaplotypeGeneticsSNPGenetic linkageGenetic associationPopulationLinkage disequilibriumBiologyMedicineGeneAlleleGenotype

Abstract

fetched live from OpenAlex

Low HDL-C is a known independent risk factor for coronary heart disease. Levels of HDL-C are influenced by both genetic and environmental factors. We previously performed a quantitative linkage analysis in two independent studies of the French Canadian founder population: a Quebec-wide study (QUE) consisted of 362 individuals from multigenerational families, and 410 individuals from families of the Saguanay-Lac St-Jean region (SLSJ). The results demonstrated a linkage to the locus 16q23–24 in both studies. This locus has been implicated in previous linkage scans for HDL-C in multiple studies from different populations. All of them resulted in linkage peaks that are less than 12 cM far from our peak, suggesting the existence of one or more genes in this specific locus. We examined the region by SNP fine mapping and used family based association and case-control association analysis. Using families from the QUE study, defining HDL-C <5th percentile (age/gender-matched) as cases, the region was narrowed from 25 cM to 18.1 cM. Affected members from four families share a 2 microsatellite haplotype. SNPs genotyped in this locus allowed us to narrow down the shared haplotype to 4Mb. A case-control association study in the SLSJ study sample (cases <5 percentile HDL-C, controls >40 percentile HDL-C) identified several significant SNPs, one of which was located in the same region as the shared haplotype from the QUE families. Constructing a haplotype of this SNP and a nearby SNP, increased the evidence for association (p =0.016 to 0.0097). The CHST6 gene, located within this region, has been previously identified in macular corneal dystrophy. Because of the presence of occular manifestations with other genes associated with low HDL-C (e.g. LCAT, ApoA1), we sequenced the CHST6 gene and also its homologue CHST5, which is located in the same region. We found three non-synonymous variants in these two genes. One of the variants in the CHST6 gene showed a strong segregation in the four families sharing the microsatellite haplotype. This same variant also demonstrated an odds ratio >2 in the case/control sample, but this was not significant due to the small sample size. Our data present strong evidence for a HDL-C gene on chromosome 16q23–24 that may be related to the CHST6 or CHST5 loci.

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)0.000
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 score0.047
Threshold uncertainty score0.095

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0030.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.016
GPT teacher head0.198
Teacher spread0.182 · 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".

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Citations0
Published2007
Admission routes2
Has abstractyes

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