rs10872479 - LINC02865, SIMALR
Magnitude 2.2 · 1 study on file
Reported associations
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Multi-ancestry genome-wide association analyses identify novel genetic mechanisms in rheumatoid arthritis - Unknown journal (n.d.) · Unknown authors · PubMed 36333501
ABSTRACT: Rheumatoid arthritis (RA) is a highly heritable complex disease with unknown etiology. Multi-ancestry genetic research of RA promises to improve power to detect genetic signals, fine-mapping resolution and performances of polygenic risk scores (PRS). Here, we present a large-scale genome-wide association study (GWAS) of RA, which includes 276,020 samples from five ancestral groups. We conducted a multi-ancestry meta-analysis and identified 124 loci (P < 5 × 10−8), of which 34 are novel. Candidate genes at the novel loci suggest essential roles of the immune system (for example, TNIP2 and TNFRSF11A) and joint tissues (for example, WISP1) in RA etiology. Multi-ancestry fine-mapping identified putatively causal variants with biological insights (for example, LEF1). Moreover, PRS
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Lifestyle context
Concrete actions anchored to the cited research. We do not prescribe, we describe.
Discuss with your doctor
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Genetic RA risk and prevention strategies Moderate
rs10872479-A carriers have 1.07x increased odds of RA (p=6e-10, n=276020); physician guidance personalizes monitoring and preventive approaches
Consult rheumatologist or primary care physician to discuss genetic risk, screening strategy, and preventive approaches
Screening
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Rheumatoid arthritis screening and serology Moderate
Variant rs10872479-A strongly associated with increased RA risk; early detection may enable preventive intervention before symptomatic disease
Baseline rheumatoid factor and anti-CCP antibodies; discuss repeat testing schedule with physician