rs11823013 - SIK3
Magnitude 2.2 · 1 study 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
Auto-generated from study metadata. AI-synthesised commentary is added when this entry is regenerated through content-service's LLM mode.
Lifestyle context
Concrete actions anchored to the cited research. We do not prescribe, we describe.
Diet
-
increase dietary fiber from whole grains and vegetables Moderate
dietary fiber improves insulin sensitivity and cholesterol metabolism in metabolic syndrome
target 25-30 grams daily fiber from whole grains, legumes, vegetables, and fruits
Exercise
-
moderate-intensity aerobic activity Moderate
physical activity improves insulin sensitivity and metabolic parameters in people at metabolic syndrome risk
150 minutes per week of moderate-intensity aerobic exercise
Lifestyle
-
weight reduction if overweight Moderate
weight loss reduces metabolic syndrome incidence and improves metabolic parameters
if BMI >= 25, target 5-10 percent body weight reduction
Screening
-
metabolic syndrome components screening Moderate
rs11823013-T allele associated with increased metabolic syndrome risk in large GWAS
baseline and annual screening for fasting glucose, lipid panel, blood pressure, waist circumference