MétaCan
Menu
Back to cohort

Abstract MP068: Association Study of SNPs and measures of adiposity among 51990 European and European American Identifies Three Novel Loci

2012· article· en· W2269519750 on OpenAlexaff
Sachiko Yoneyama, Kira C. Taylor, Caroline S. Fox, Brendan J. Keating, Yan Gong, Alex P. Reiner, Haiqing Shen, Mathias Gorski, Sandosh Padmanabhan, Suzanne Rafelt, Patricia B. Munroe, Matthew B. Lanktree, Toby Johnson, Tom R. Gaunt, Yiran Guo, Liz Speilotes, Susan Redline, Gregory L. Burke, Herman A. Taylor, José M. Ordovás, Cashell E. Jaquish, Nancy L. Heard‐Costa, Kari E. North, Ellen W. Demerath

Bibliographic record

VenueCirculation · 2012
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicNutrition, Genetics, and Disease
Canadian institutionsWestern University
Fundersnot available
KeywordsSingle-nucleotide polymorphismGenome-wide association studyMedicineGeneticsCandidate geneGenetic associationBody mass indexSNPLinkage disequilibriumPopulationWaist–hip ratioMinor allele frequencyWaistInternal medicineBiologyGenotypeGene

Abstract

fetched live from OpenAlex

Introduction and objectives. Measures of adiposity such as waist circumference (WC) and waist-to-hip ratio (WHR) are associated with adverse cardiovascular events and diabetes independent of body mass index (BMI). WC and WHR have high heritability and multiple susceptibility loci have been identified across the genome, including GRB14 , LYPAL1 , and VEGFA . We aim to identify novel loci associated with WC and WHR using a bespoke SNP array focused on cardio-centric candidate genes. Methods. We assessed the association between SNPs and anthropometry phenotypes WC adjusted for BMI (cm), and WHR adjusted for BMI among 51990 individuals of European ancestry from NHLBI’s Candidate Gene Association Resource (CARe) project and 14 other cohorts. The study population consisted of women and men aged 20 to 80, of which 65% were females. Individuals were genotyped using the ITMAT/Broad/CARE (IBC) chip, which includes ∼50,000 densely mapped cosmopolitan tagged SNPs across ∼2100 candidate genes. We modeled each trait as a function of age, study site, and ancestry, and conducted a fixed-effects meta-analysis. Results. Three novel loci reached our Bonferroni adjusted threshold for statistical significance (P<2E-6). The A allele of SNP rs761422 in gene MFAP2 was associated with decreased WC adjusted for BMI (P=4.4E-7), and has previously been reported in a height GWAS. The C allele of SNP rs2811337 near TMCC1 , involved in signaling pathways, and the A allele of SNP rs7302703 in gene HOXC10 , involved in cell differentiation, were associated with decreased WHR adjusted for BMI (P=8.6E-9 and P=2.8E-7, respectively). Fourteen loci have been previously reported in association with WHR adjusted for BMI, five of which, were included on the IBC chip. Of the five, three also reached statistical significance with the same direction of effect in our sample: RSPO3 (P=3.0E-10), ADAMTS9 (P=8.6E-9),and ITPR2 (P=5.6E-8). All SNPs were common variants (MAF>10%). Fine mapping is currently underway to determine whether each locus may contain multiple independent signals. Replication cohorts have been identified and we are working to verify the novel loci and investigate sub-significant loci. Conclusions . In 51990 European decent individuals typed on a dense IBC chip, we identified 3 novel loci and replicated 3 additional loci. Significant loci among WC adjusted for BMI, and WHR adjusted for BMI were distinct from one another, indicating each measure of adiposity may be capturing distinct underlying phenotypes and thus different pathways through which risk alleles affect adiposity. We will pursue further assessment of risk loci and adiposity through fine mapping and follow-up genotyping.

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)0.002
metaresearch head score (Gemma)0.003
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 score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.022
GPT teacher head0.240
Teacher spread0.218 · 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
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueCirculationSame topicNutrition, Genetics, and DiseaseFrench-language works237,207