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Record W2577841140 · doi:10.1177/0022034516686562

GWAS Identifies New Loci for Painful Temporomandibular Disorder: Hispanic Community Health Study/Study of Latinos

2017· review· en· W2577841140 on OpenAlexaff
Anne E. Sanders, Deepti Jain, Tamar Sofer, Kathleen F. Kerr, Cathy C. Laurie, John R. Shaffer, Mary L. Marazita, Linda M. Kaste, Gary D. Slade, Roger B. Fillingim, Richard Ohrbach, William Maixner, Thomas Kocher, Olaf Bernhardt, Alexander Teumer, Christian Schwahn, Kirsi Sipilä, Raija Lähdesmäki, Minna Männikkö, Paula Pesonen, Marjo‐Riitta Järvelin, Célia Marisa Rizzatti‐Barbosa, Carolina B. Meloto, Margarete Ribeiro-Dasilva, Luda Diatchenko, Priscila de Oliveira Serrano, Shad B. Smith

Bibliographic record

VenueJournal of Dental Research · 2017
Typereview
Languageen
FieldHealth Professions
TopicTemporomandibular Joint Disorders
Canadian institutionsMcGill University Health CentreMcGill University
FundersNational Institute on Minority Health and Health DisparitiesMedical Research CouncilNational Center for Advancing Translational SciencesUniversität GreifswaldNational Institute of Dental and Craniofacial ResearchNational Institute on AgingOffice of Dietary SupplementsMinistry of Cultural AffairsNational Institute of Diabetes and Digestive and Kidney DiseasesBiocenter, University of OuluOulun YliopistoBundesministerium für Bildung und ForschungUniversity of WashingtonJohns Hopkins UniversityUniversity at BuffaloNational Institutes of HealthSan Diego State UniversityNational Institute of Mental HealthHorizon 2020 Framework ProgrammeAcademy of FinlandNational Heart, Lung, and Blood InstituteUniversity of MiamiNorthwestern UniversityNational Institute on Deafness and Other Communication Disorders
KeywordsGenome-wide association studyCohortSingle-nucleotide polymorphismOdds ratioMedicineInternal medicineLocus (genetics)GeneticsBiologyGenotypeGene

Abstract

fetched live from OpenAlex

Temporomandibular disorder (TMD) is a musculoskeletal condition characterized by pain and reduced function in the temporomandibular joint and/or associated masticatory musculature. Prevalence in the United States is 5% and twice as high among women as men. We conducted a discovery genome-wide association study (GWAS) of TMD in 10,153 participants (769 cases, 9,384 controls) of the US Hispanic Community Health Study/Study of Latinos (HCHS/SOL). The most promising single-nucleotide polymorphisms (SNPs) were tested in meta-analysis of 4 independent cohorts. One replication cohort was from the United States, and the others were from Germany, Finland, and Brazil, totaling 1,911 TMD cases and 6,903 controls. A locus near the sarcoglycan alpha ( SGCA), rs4794106, was suggestive in the discovery analysis ( P = 2.6 × 10 6 ) and replicated (i.e., 1-tailed P = 0.016) in the Brazilian cohort. In the discovery cohort, sex-stratified analysis identified 2 additional genome-wide significant loci in females. One lying upstream of the relaxin/insulin-like family peptide receptor 2 ( RXP2) (chromosome 13, rs60249166, odds ratio [OR] = 0.65, P = 3.6 × 10 −8 ) was replicated among females in the meta-analysis (1-tailed P = 0.052). The other (chromosome 17, rs1531554, OR = 0.68, P = 2.9 × 10 −8 ) was replicated among females (1-tailed P = 0.002), as well as replicated in meta-analysis of both sexes (1-tailed P = 0.021). A novel locus at genome-wide level of significance (rs73460075, OR = 0.56, P = 3.8 × 10 −8 ) in the intron of the dystrophin gene DMD (X chromosome), and a suggestive locus on chromosome 7 (rs73271865, P = 2.9 × 10 −7 ) upstream of the Sp4 Transcription Factor ( SP4) gene were identified in the discovery cohort, but neither of these was replicated. The SGCA gene encodes SGCA, which is involved in the cellular structure of muscle fibers and, along with DMD, forms part of the dystrophin-glycoprotein complex. Functional annotation suggested that several of these variants reside in loci that regulate processes relevant to TMD pathobiologic processes.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.033
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.654
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0330.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0050.001
Bibliometrics0.0020.001
Science and technology studies0.0050.000
Scholarly communication0.0000.000
Open science0.0030.002
Research integrity0.0010.009
Insufficient payload (model declined to judge)0.0000.000

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 head0.545
GPT teacher head0.639
Teacher spread0.094 · 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 teacher head, not a consensus.

Study designNot applicable
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

Citations35
Published2017
Admission routes1
Has abstractyes

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