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Record W1596851294 · doi:10.1161/circ.129.suppl_1.48

Abstract 48: A newly identified rare variant (chr11:47227430) with possible functional activity is associated with fasting insulin at the chromosome 11p11.2-NR1H3 locus in the Cohorts for Heart and Aging Research in Genetic Epidemiology Targeted Sequencing Study (CHARGE-TSS).

2014· article· en· W1596851294 on OpenAlexaff
Marco Dauriz, Belinda K. Cornes, Jennifer A. Brody, Naghmeh Nikpoor, Alanna C. Morrison, Shuai Wang, Josée Dupuis, Bruce M. Psaty, Eric Boerwinkle, Jerome I. Rotter, Siscovick David, Robert Sladek, James B. Meigs

Bibliographic record

VenueCirculation · 2014
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA modifications and cancer
Canadian institutionsMcGill University
Fundersnot available
KeywordsLocus (genetics)GeneticsBiologyAlleleMinor allele frequencyGenetic associationGenome-wide association studyGeneSingle-nucleotide polymorphismAllele frequencyGenotype

Abstract

fetched live from OpenAlex

Aim: Common variation at the polygenic 11p11.2 locus has been associated with fasting glucose (FG) and insulin (FI) in genome-wide association studies. Further insights into the genetic pathways involved in glucose homeostasis and type 2 diabetes pathogenesis might rely on discovery of functional variants in genes or regulatory regions. Hypothesis: We hypothesized that high-throughput next-generation deep sequencing at the polygenic 11p11.2 locus might identify additional rare, potentially functional variants influencing FG and/or FI levels. Methods: We deeply sequenced (mean depth 38X) 16.1kb across the 11p11.2 locus in 3,566 non-diabetic individuals enrolled in the CHARGE Consortium (http://web.chargeconsortium.com/). We analyzed rare variants (minor allele frequency [MAF] <1%) in five gene regions, including MADD , ACP2 , NR1H3 , MYBPC3 and SPI1 , with FI or FG using Sequence Kernel Association Test (SKAT). Predicted regulatory variants were then analyzed by conditioning in SKAT on two previously known variants at MADD locus (rs7944584 and rs10838687 associated, respectively, with FG and FI). All analyses were adjusted for age, sex and study design variables. FI (adjusted for BMI) was naturally log-transformed to improve normality. Further functional studies were performed in human HepG2 hepatoma cells to unravel possible mechanistic pathways linked to functional variants. Results: We identified 653 allelic variants (including the known rs7944584 and rs10838687), 79.9% of which were rare and novel. At NR1H3, 53 rare variants were jointly associated with FI ( p =2.7 x 10 -3 ); of these, seven were predicted to have regulatory function. Conditional analysis suggested more than two independent signals at 11p11.2- MADD locus. One predicted regulatory variant, chr11:47227430 (hg18; MAF=0.0007), contributed 20.6% to the overall SKAT score at NR1H3, and lies in intron 2 of NR1H3 , a predicted binding site of the FOXA1 enhancer, a transcription factor associated with insulin regulation. Functional studies in HepG2 cells showed that the chr11:47227430 variant disrupts FOXA1 binding and significantly reduces FOXA1-dependent transcriptional activity. Conclusions/interpretation: We confirmed known common FI-associated variants near MADD gene and identified rare variation in an intron of NR1H3 associated with FI. Functional in vitro studies showed that the rare A allele of the chr11:47227430 variant at the NR1H3 locus might theoretically affect insulin regulation by interfering with transcription factor FOXA1 binding and, consequently, FOXA1-dependent transcriptional activity. Our targeted deep resequencing approach proved valuable in identifying new rare functional variants; quantitation of their actual impact on glucose homeostasis needs further confirmation.

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 score0.014
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0140.001

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 head0.068
GPT teacher head0.321
Teacher spread0.253 · 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
Published2014
Admission routes1
Has abstractyes

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