rs113932726 - ZPR1

Magnitude 2.2 · 3 studies on file

Reported associations

  • A genome-wide search for gene-by-obesity interaction loci of dyslipidemia in Koreans shows diverse genetic risk alleles. - Journal of lipid research (2020) · Kang M, Sung J · PubMed 31662442

    Dyslipidemia is a well-established risk factor for CVD. Studies suggest that similar fat accumulation in a given population might result in different levels of dyslipidemia risk among individuals; for example, despite similar or leaner body composition compared with Caucasians, Asians of Korean descent experience a higher prevalence of dyslipidemia. These variations imply a possible role of gene-obesity interactions on lipid profiles. Genome-wide association studies have identified more than 500 loci regulating plasma lipids, but the interaction structure between genes and obesity traits remains unclear. We hypothesized that some loci modify the effects of obesity on dyslipidemia risk and analyzed extensive gene-environment interactions (G×Es) at genome-wide levels to search for replicate

  • Genetic analysis of quantitative traits in the Japanese population links cell types to complex human diseases. - Nature genetics (2019) · Kanai M, Akiyama M, Takahashi A, Matoba N, Momozawa Y, Ikeda M, Iwata N, Ikegawa S, Hirata M, Matsuda K, Kubo M, Okada Y, Kamatani Y · PubMed 29403010

    Clinical measurements can be viewed as useful intermediate phenotypes to promote understanding of complex human diseases. To acquire comprehensive insights into the underlying genetics, here we conducted a genome-wide association study (GWAS) of 58 quantitative traits in 162,255 Japanese individuals. Overall, we identified 1,407 trait-associated loci (P < 5.0 × 10 ), 679 of which were novel. By incorporating 32 additional GWAS results for complex diseases and traits in Japanese individuals, we further highlighted pleiotropy, genetic correlations, and cell-type specificity across quantitative traits and diseases, which substantially expands the current understanding of the associated genetics and biology. This study identified both shared polygenic effects and cell-type specificity

  • 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


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Lifestyle context

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

Diet

  • Reduce refined carbohydrates and added sugars Moderate

    Refined carbohydrates elevate triglycerides and metabolic syndrome risk.

    Limit refined grains, sugary drinks, and processed foods; prioritize whole grains

Exercise

  • Regular aerobic exercise Moderate

    Aerobic activity reduces triglyceride levels and improves metabolic function.

    Aim for 150 minutes of moderate-intensity aerobic activity weekly

Lifestyle

  • Maintain healthy body weight Moderate

    Excess body weight exacerbates metabolic syndrome expression.

    Target BMI 18.5-24.9 or per clinical recommendation

Screening

  • Metabolic syndrome risk assessment High

    rs113932726 is associated with increased metabolic syndrome risk, indicating metabolic dysfunction.

    Screen annually for metabolic syndrome: BP, glucose, lipids, waist circumference

  • Triglyceride level monitoring High

    rs113932726 is associated with increased triglyceride levels, indicating altered lipid metabolism.

    Check triglycerides annually or per clinical recommendation