Expressive

rs11216168 - SIK3

Magnitude 2.2 · 2 studies on file

Reported associations

  • A Genome-Wide Association Study of Metabolic Syndrome in the Taiwanese Population - Unknown journal (n.d.) · Unknown authors · PubMed 38201907

    ABSTRACT: The purpose of this study was to investigate genetic factors associated with metabolic syndrome (MetS) by conducting a large-scale genome-wide association study (GWAS) in Taiwan, addressing the limited data on Asian populations compared to Western populations. Using data from the Taiwan Biobank, comprehensive clinical and genetic information from 107,230 Taiwanese individuals was analyzed. Genotyping data from the TWB1.0 and TWB2.0 chips, including over 650,000 single nucleotide polymorphisms (SNPs), were utilized. Genotype imputation using the 1000 Genomes Project was performed, resulting in more than 9 million SNPs. MetS was defined based on a modified version of the Adult Treatment Panel III criteria. Among all participants (mean age: 50 years), 23% met the MetS definition. GW

  • Genetic variants associated with subjective well-being, depressive symptoms and neuroticism identified through genome-wide analyses - Unknown journal (n.d.) · Unknown authors · PubMed 27089181

    ABSTRACT: We conducted genome-wide association studies of three phenotypes: subjective well-being (N = 298,420), depressive symptoms (N = 161,460), and neuroticism (N = 170,910). We identified three variants associated with subjective well-being, two with depressive symptoms, and eleven with neuroticism, including two inversion polymorphisms. The two depressive symptoms loci replicate in an independent depression sample. Joint analyses that exploit the high genetic correlations between the phenotypes strengthen the overall credibility of the findings, and allow us to identify additional variants. Across our phenotypes, loci regulating expression in central nervous system and adrenal/pancreas tissues are strongly enriched for association. FULL TEXT: [INTRO] Introduction [INTRO] Subjectiv

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Lifestyle context

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

Diet

  • Mediterranean or DASH dietary pattern High

    These patterns reduce metabolic dysfunction through improved insulin sensitivity and lipid metabolism; key for metabolic syndrome prevention.

    Emphasize vegetables, whole grains, legumes, fish; minimize refined carbohydrates and added sugars

Exercise

  • Moderate aerobic exercise for metabolic health High

    Exercise is first-line intervention for metabolic syndrome; improves insulin sensitivity, glucose homeostasis, and lipid profile.

    150 minutes per week moderate-intensity aerobic activity, or 75 minutes vigorous intensity

Lifestyle

  • Weight management through diet and physical activity High

    Central obesity and excessive weight are major metabolic syndrome drivers; genetic association may indicate heightened metabolic sensitivity.

    Maintain BMI <25; if overweight, target 5-10% weight loss over 6 months

Screening

  • Annual metabolic and cardiovascular screening High

    Strong genetic association (p=3e-9) with metabolic syndrome risk; early detection of dysglycemia, dyslipidemia, and hypertension enables intervention.

    Annual fasting glucose, lipid panel, blood pressure; assess for metabolic syndrome if 3+ abnormal values