rs11021409 - MAML2

Magnitude 2.2 · 1 study on file

Reported associations

  • Translational genomics of osteoarthritis in 1,962,069 individuals - Unknown journal (n.d.) · Unknown authors · PubMed 40205036

    ABSTRACT: Osteoarthritis is the third most rapidly growing health condition associated with disability, after dementia and diabetes. By 2050, the total number of patients with osteoarthritis is estimated to reach 1 billion worldwide. As no disease-modifying treatments exist for osteoarthritis, a better understanding of disease aetiopathology is urgently needed. Here we perform a genome-wide association study meta-analyses across up to 489,975 cases and 1,472,094 controls, establishing 962 independent associations, 513 of which have not been previously reported. Using single-cell multiomics data, we identify signal enrichment in embryonic skeletal development pathways. We integrate orthogonal lines of evidence, including transcriptome, proteome and epigenome profiles of primary joint tiss


Auto-generated from study metadata. AI-synthesised commentary is added when this entry is regenerated through content-service's LLM mode.

Lifestyle context

Concrete actions anchored to the cited research. We do not prescribe, we describe.

Exercise

  • low-impact joint-preserving exercise Moderate

    T allele increases osteoarthritis risk; regular low-impact activity maintains joint mobility and function while minimizing cartilage stress

    150-200 minutes per week moderate-intensity low-impact exercise (swimming, cycling, walking, elliptical)

Lifestyle

  • weight management to reduce joint loading Moderate

    Genetic predisposition to OA makes weight optimization particularly important; reduced joint loading slows cartilage degradation and OA progression

    Maintain BMI in healthy range (18.5-24.9) or discuss personalized weight goals with healthcare provider

Screening

  • osteoarthritis risk assessment and monitoring High

    rs11021409 T allele shows strong association with hip osteoarthritis across large populations (p=7e-16, n>1M); genetic risk stratification justifies baseline evaluation and follow-up

    Discuss baseline joint assessment with healthcare provider; establish monitoring schedule based on genetic risk