Expressive

rs11986942 - LPL - RPL30P9

Magnitude 2.8 · 3 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

  • Genome-wide association study of metabolic syndrome in Korean populations - Unknown journal (n.d.) · Unknown authors · PubMed 31910446

    ABSTRACT: Metabolic syndrome (MetS) which is caused by obesity and insulin resistance, is well known for its predictive capability for the risk of type 2 diabetes mellitus and cardiovascular disease. The development of MetS is associated with multiple genetic factors, environmental factors and lifestyle. We performed a genome-wide association study to identify single-nucleotide polymorphism (SNP) related to MetS in large Korean population based samples of 1,362 subjects with MetS and 6,061 controls using the Axiom® Korean Biobank Array 1.0. We replicated the data in another sample including 502 subjects with MetS and 1,751 controls. After adjusting for age and sex, rs662799 located in the APOA5 gene were significantly associated with MetS. 15 SNPs in GCKR, C2orf16, APOA5, ZPR1, and BUD13

  • Multiple genotype-phenotype association study reveals intronic variant pair on SIDT2 associated with metabolic syndrome in a Korean population - Unknown journal (n.d.) · Unknown authors · PubMed 30382898

    ABSTRACT: Background Metabolic syndrome is a risk factor for type 2 diabetes and cardiovascular disease. We identified common genetic variants that alter the risk for metabolic syndrome in the Korean population. To isolate these variants, we conducted a multiple-genotype and multiple-phenotype genome-wide association analysis using the family-based quasi-likelihood score (MFQLS) test. For this analysis, we used 7211 and 2838 genotyped study subjects for discovery and replication, respectively. We also performed a multiple-genotype and multiple-phenotype analysis of a gene-based single-nucleotide polymorphism (SNP) set. Results We found an association between metabolic syndrome and an intronic SNP pair, rs7107152 and rs1242229, in SIDT2 gene at 11q23.3. Both SNPs correlate with the expressi

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

  • Mediterranean-style diet or unsaturated fat emphasis Moderate

    Dietary composition affects HDL cholesterol and triglyceride levels; emphasis on unsaturated fats and plant-based foods supports healthier lipid profile.

    Emphasize olive oil, fish, nuts, legumes, whole grains, and vegetables

Exercise

  • regular aerobic exercise Moderate

    Physical activity increases HDL cholesterol and improves metabolic syndrome components; partially counteracts genetic effect on lipid metabolism through LPL.

    150 minutes moderate-intensity aerobic activity per week

Screening

  • lipid panel including HDL and triglycerides High

    Variant is strongly associated with low HDL cholesterol; regular lipid monitoring assesses phenotypic manifestation and guides therapeutic decisions.

    Baseline lipid panel, then every 1-2 years or per physician recommendation

  • metabolic syndrome components assessment High

    Variant is strongly associated with metabolic syndrome; regular screening for fasting glucose, blood pressure, and waist circumference assesses overall metabolic phenotype.

    Baseline assessment, repeat every 1-2 years or per physician recommendation