MétaCan
Menu
Back to cohort
Record W2896570568 · doi:10.1002/jbmr.3605

Identification of Novel Loci Associated With Hip Shape: A Meta-Analysis of Genomewide Association Studies

2018· review· en· W2896570568 on OpenAlexaff
Denis Baird, Daniel S. Evans, Frederick Kamanu, J.S. Gregory, Fiona R. Saunders, R.J. Barr, R.M. Aspden, Deborah A. Jenkins, Douglas P. Kiel, Eric Orwoll, Steven R. Cummings, Nancy E. Lane, Benjamin H. Mullin, Frances M. K. Williams, J. Brent Richards, Scott G. Wilson, Tim D. Spector, Benjamin G Faber, Elin Grundberg, Claes Ohlsson, U. Pettersson, Terence D. Capellini, Daniel Richard, Thomas Beck, David M. Evans, Lavinia Paternoster, David Karasik, Jonathan H. Tobias

Bibliographic record

VenueJournal of Bone and Mineral Research · 2018
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic Associations and Epidemiology
Canadian institutionsMcGill Genome CentreMcGill UniversityJewish General Hospital
FundersNational Institute on AgingNational Health and Medical Research CouncilNovo Nordisk FondenNational Institutes of HealthSvenska LäkaresällskapetRaine Medical Research FoundationUniversity of BristolKing's College LondonArthritis Research UKNational Institute for Health and Care ResearchNational Center for Advancing Translational SciencesWellcome TrustNational Institute of Arthritis and Musculoskeletal and Skin DiseasesMedical Research CouncilVersus ArthritisKempe FoundationSchool of Medicine, Boston UniversityHarvard UniversityNational Heart, Lung, and Blood InstituteVetenskapsrådetNational Science Foundation
KeywordsSingle-nucleotide polymorphismGenome-wide association studyHip fractureLinkage disequilibriumMedicineSNPGeneticsOsteoporosisInternal medicineBiologyGenotypeGene

Abstract

fetched live from OpenAlex

ABSTRACT We aimed to report the first genomewide association study (GWAS) meta-analysis of dual-energy X-ray absorptiometry (DXA)-derived hip shape, which is thought to be related to the risk of both hip osteoarthritis and hip fracture. Ten hip shape modes (HSMs) were derived by statistical shape modeling using SHAPE software, from hip DXA scans in the Avon Longitudinal Study of Parents and Children (ALSPAC; adult females), TwinsUK (mixed sex), Framingham Osteoporosis Study (FOS; mixed), Osteoporotic Fractures in Men study (MrOS), and Study of Osteoporotic Fractures (SOF; females) (total N = 15,934). Associations were adjusted for age, sex, and ancestry. Five genomewide significant (p < 5 × 10−9, adjusted for 10 independent outcomes) single-nucleotide polymorphisms (SNPs) were associated with HSM1, and three SNPs with HSM2. One SNP, in high linkage disequilibrium with rs2158915 associated with HSM1, was associated with HSM5 at genomewide significance. In a look-up of previous GWASs, three of the identified SNPs were associated with hip osteoarthritis, one with hip fracture, and five with height. Seven SNPs were within 200 kb of genes involved in endochondral bone formation, namely SOX9, PTHrP, RUNX1, NKX3-2, FGFR4, DICER1, and HHIP. The SNP adjacent to DICER1 also showed osteoblast cis-regulatory activity of GSC, in which mutations have previously been reported to cause hip dysplasia. For three of the lead SNPs, SNPs in high LD (r2 > 0.5) were identified, which intersected with open chromatin sites as detected by ATAC-seq performed on embryonic mouse proximal femora. In conclusion, we identified eight SNPs independently associated with hip shape, most of which were associated with height and/or mapped close to endochondral bone formation genes, consistent with a contribution of processes involved in limb growth to hip shape and pathological sequelae. These findings raise the possibility that genetic studies of hip shape might help in understanding potential pathways involved in hip osteoarthritis and hip fracture. © 2018 The Authors. Journal of Bone and Mineral Research Published by Wiley Periodicals, Inc.

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)0.006
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.006
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.010
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0050.020
Bibliometrics0.0040.007
Science and technology studies0.0010.001
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.307
GPT teacher head0.469
Teacher spread0.162 · 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 designMeta-analysis
Domainnot available
GenreReview

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

Citations67
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Bone and Mineral ResearchSame topicGenetic Associations and EpidemiologyFrench-language works237,207