Three Sibling Genes Involved in Genetic Risk for Lateral Epicondylopathy
Burns, K.; Kim, S.; Denq, W.
Show abstract
ObjectivesTo screen the entire genome for genes associated with risk for lateral epicondylopathy and improve understanding of underlying biological mechanisms and inform future research aimed at risk stratification and personalized prevention and treatment strategies. MethodsA genome-wide association study was conducted using UK Biobank data. Lateral epicondylopathy cases were identified based on electronic health records from individuals of European ancestry. Logistic regression tested associations between single-nucleotide polymorphisms and disease status, adjusting for sex, age, height, weight and ancestry principal components. Previously-identified candidate genes from the literature were also tested for association with lateral epicondylopathy. ResultsAmong 20,390 cases of lateral epicondylopathy, two loci reached genome-wide significance: one comprising 144 linked SNPs and one single SNP. The first locus, led by rs13127477 (p=7.7x10-12; OR 0.93, 95% CI 0.91 to 0.95), is located near three SIBLING genes (IBSP, MEPE and SPP1) involved in extracellular matrix remodelling at fibrocartilaginous entheses. The risk allele was associated with increased SIBLING gene expression, suggesting that excessive entheseal matrix remodelling contributes to disease susceptibility. The second locus was defined by rs138254824 (p=3.69x10-8; OR 3.42, 95% CI 2.23 to 5.25) near NEDD9 and TMEM170B. Previously reported collagen gene associations were not replicated. ConclusionIn the first genome-wide screen for lateral epicondylopathy, two loci were identified. These loci provide insight regarding the pathophysiology of lateral epicondylopathy and a roadmap for preventing and treating this injury with personalized medicine. Summary BoxO_ST_ABSWhat is already known on this topicC_ST_ABSLateral epicondylopathy is a common and disabling overuse tendon condition, yet its genetic basis has remained poorly characterised, with prior studies limited to small candidate gene analyses. What this study addsThis study provides the first genome-wide association analysis of lateral epicondylopathy, identifying two risk loci on chromosomes 4 and 6 and implicating SIBLING genes (IBSP, MEPE, and SPP1) involved in entheseal extracellular matrix remodelling. How this study might affect research, practice or policyThese findings offer new biological insight into disease susceptibility and challenge previously reported collagen gene associations.
Matching journals
The top 8 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Multipoint Stimulation Motor Unit Number Estimation of the Extensor Indicis and Anconeus after Cervical Spinal Cord Injury 90%
- Development of a major histocompatibility complex class II conditional knockout mouse to study cell-specific and time-dependent adaptive immune responses in peripheral nerves. 89%
- The Impact of Brain-Derived Neurotrophic Factor rs6265 (Val66Met) Polymorphism on Therapeutic Electrical Stimulation for Peripheral Nerve Regeneration: A Preclinical Study of Therapy-Genotype Interactions 88%
Similar papers in this journal
- A genome-wide association analysis of loss of ambulation in dystrophinopathy patients suggests multiple candidate modifiers of disease severity 90%
- Genetic correlations between pain phenotypes and depression and neuroticism 88%
- Millennium-Old Pathogenic Mendelian Mutation Discovery for MultipleOsteochondromas from a Gaelic Medieval Graveyard. 88%
Similar papers in this journal
- A genome-wide association study identifies genetic variants associated with hip pain in the UK Biobank cohort (N=221,127) 92%
- Integrating Multidimensional Data Analytics for Precision Diagnosis of Chronic Low Back Pain 92%
- Altered TGFB1 regulated pathways promote accelerated tendon healing in the superhealer MRL/MpJ mouse 92%
Similar papers in this journal
- Familial clustering of erosive hand osteoarthritis in a large statewide cohort 94%
- autoscoRA: Deep Learning to Automate Sharp/van der Heijde Scoring of Radiographic Damage in Rheumatoid Arthritis 89%
- Identification and Evaluation of Serum Protein Biomarkers Which Differentiate Psoriatic from Rheumatoid Arthritis 88%
Similar papers in this journal
- Allelic expression imbalance in articular cartilage and subchondral bone refined genome-wide association signals in osteoarthritis 91%
- Prodromal symptoms of rheumatoid arthritis in a primary care database: variation by ethnicity and socioeconomic status 91%
- Incorporating computer vision on smart phone photographs into screening for inflammatory arthritis: results from an Indian patient cohort 90%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.