rs111427307 - FSTL5
Magnitude 2.8 · 1 study on file
Reported associations
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Genome-wide analyses using UK Biobank data provide insights into the genetic architecture of osteoarthritis - Unknown journal (n.d.) · Unknown authors · PubMed 29559693
ABSTRACT: Osteoarthritis is a common complex disease with huge public health burden. Here we perform a genome-wide association study for osteoarthritis using data across 16.5 million variants from the UK Biobank resource. Following replication and meta-analysis in up to 30,727 cases and 297,191 controls, we report 9 new osteoarthritis loci, in all of which the most likely causal variant is non-coding. For three loci, we detect association with biologically-relevant radiographic endophenotypes, and in five signals we identify genes that are differentially expressed in degraded compared to intact articular cartilage from osteoarthritis patients. We establish causal effects for higher body mass index, but not for triglyceride levels or genetic predisposition to type 2 diabetes, on osteoarthri
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Lifestyle context
Concrete actions anchored to the cited research. We do not prescribe, we describe.
Exercise
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Low-impact exercise to protect joints Moderate
Increased genetic osteoarthritis risk suggests joint vulnerability to impact-related damage; low-impact activity reduces stress
Emphasize swimming, cycling, or walking over high-impact activities like running or jumping
Lifestyle
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Weight management to reduce joint stress Moderate
Increased body weight increases mechanical load on joints; individuals at genetic risk for osteoarthritis benefit from weight optimization
Maintain BMI in normal range (18.5-24.9 kg/m2) or discuss weight loss strategies with healthcare provider if overweight
Screening
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Osteoarthritis signs and symptoms surveillance Moderate
FSTL5 variant confers increased osteoarthritis risk; early detection enables preventive intervention
Annual assessment for joint stiffness, pain, or swelling; discuss with healthcare provider if symptoms develop