rs1107392 - INKA2
Magnitude 2.2 · 1 study on file
Reported associations
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Multivariate genomic analysis of 5 million people elucidates the genetic architecture of shared components of the metabolic syndrome - Unknown journal (n.d.) · Unknown authors · PubMed 39349817
ABSTRACT: Metabolic syndrome (MetS) is a complex hereditary condition comprising various metabolic traits as risk factors. Although the genetics of individual MetS components have been investigated actively through large-scale genome-wide association studies, the conjoint genetic architecture has not been fully elucidated. Here, we performed the largest multivariate genome-wide association study of MetS in Europe (nobserved = 4,947,860) by leveraging genetic correlation between MetS components. We identified 1,307 genetic loci associated with MetS that were enriched primarily in brain tissues. Using transcriptomic data, we identified 11 genes associated strongly with MetS. Our phenome-wide association and Mendelian randomization analyses highlighted associations of MetS with diverse di
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Lifestyle context
Concrete actions anchored to the cited research. We do not prescribe, we describe.
Bloodwork
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Annual monitoring of metabolic parameters Moderate
Regular assessment of glucose homeostasis and lipid metabolism enables early detection of metabolic dysfunction
Annual fasting glucose, lipid panel, blood pressure, waist circumference; more frequent if abnormalities detected
Diet
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Mediterranean or DASH-style diet Moderate
These dietary patterns reduce glucose intolerance, dyslipidemia, and adiposity; core metabolic syndrome features
Emphasize whole grains, vegetables, legumes, olive oil, fish; minimize refined carbohydrates and added sugars
Exercise
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Regular aerobic and resistance training Moderate
Physical activity reduces metabolic syndrome components; genetic predisposition increases benefit from preventive exercise
150 minutes moderate aerobic activity + 2 days/week resistance training
Screening
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Metabolic syndrome screening (every 5 years) Moderate
rs1107392 INKA2 variant is associated with increased metabolic syndrome risk; screening enables early intervention
Fasting glucose, lipid panel, blood pressure, waist circumference measurements per provider guidelines