rs10488798 - MPPED2-AS1 - DCDC1
Magnitude 2.2 · 1 study on file
Reported associations
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Genome-wide meta-analyses of restless legs syndrome yield insights into genetic architecture, disease biology and risk prediction - Unknown journal (n.d.) · Unknown authors · PubMed 38839884
ABSTRACT: Restless legs syndrome (RLS) affects up to 10% of older adults. Their healthcare is impeded by delayed diagnosis and insufficient treatment. To advance disease prediction and find new entry points for therapy, we performed meta-analyses of genome-wide association studies in 116,647 individuals with RLS (cases) and 1,546,466 controls of European ancestry. The pooled analysis increased the number of risk loci eightfold to 164, including three on chromosome X. Sex-specific meta-analyses revealed largely overlapping genetic predispositions of the sexes (rg = 0.96). Locus annotation prioritized druggable genes such as glutamate receptors 1 and 4, and Mendelian randomization indicated RLS as a causal risk factor for diabetes. Machine learning approaches combining genetic and nongen
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Lifestyle context
Concrete actions anchored to the cited research. We do not prescribe, we describe.
Bloodwork
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Iron status (ferritin and serum iron) Moderate
Iron deficiency is associated with restless legs syndrome; this SNP increases RLS risk, making iron monitoring clinically relevant
Baseline serum ferritin and iron testing; periodic monitoring per physician guidance
Screening
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Restless legs syndrome (RLS) screening Moderate
This SNP variant is associated with increased restless legs syndrome risk; early identification enables appropriate management
Discuss nocturnal leg symptoms with doctor; consider formal RLS evaluation if symptoms present