Expressive

rs112357006 - RNF214

Magnitude 2.2 · 2 studies on file

Reported associations

  • Genetics of 35 blood and urine biomarkers in the UK Biobank - Unknown journal (n.d.) · Unknown authors · PubMed 33462484

    ABSTRACT: Clinical laboratory tests are a critical component of the continuum of care. We evaluate the genetic basis of 35 blood and urine laboratory measurements in the UK Biobank (n=363,228 individuals). We identify 1,857 loci associated with at least one trait, containing 3,374 fine-mapped associations, and additional sets of large-effect (> 0.1 sd) protein-altering, HLA, and copy-number variant associations. Through Mendelian Randomization analysis, we discover 51 causal relationships, including previously known agonistic effects of urate on gout and cystatin C on stroke. Finally, we develop polygenic risk scores for each biomarker and built 'multi-PRS' models for diseases using 35 PRSs simultaneously, which improved chronic kidney disease, type 2 diabetes, gout, and alcoholic cirr

  • Pleiotropic genetic architecture and novel loci for C-reactive protein levels - Unknown journal (n.d.) · Unknown authors · PubMed 36376304

    ABSTRACT: C-reactive protein is involved in a plethora of pathophysiological conditions. Many genetic loci associated with C-reactive protein are annotated to lipid and glucose metabolism genes supporting common biological pathways between inflammation and metabolic traits. To identify novel pleiotropic loci, we perform multi-trait analysis of genome-wide association studies on C-reactive protein levels along with cardiometabolic traits, followed by a series of in silico analyses including colocalization, phenome-wide association studies and Mendelian randomization. We find 41 novel loci and 19 gene sets associated with C-reactive protein with various pleiotropic effects. Additionally, 41 variants colocalize between C-reactive protein and cardiometabolic risk factors and 12 of them display

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

  • Refined carbohydrates and added sugars Moderate

    Simple carbohydrates are converted to triglycerides; restriction is evidence-based for elevated triglyceridemia.

    Reduce sugary foods, sweetened beverages, and refined grains

Discuss with your doctor

  • Triglyceride management strategy High

    Genetic predisposition to elevated triglycerides warrants professional guidance on evidence-based interventions.

    Discuss monitoring schedule, dietary modifications, exercise targets, and pharmacological options if needed

Exercise

  • Regular aerobic exercise Moderate

    Aerobic activity reduces triglyceride levels through improved lipid metabolism and insulin sensitivity.

    Aim for 150 minutes of moderate-intensity aerobic exercise per week

Screening

  • Triglyceride levels via lipid panel High

    rs112357006-A increases triglyceride levels; regular monitoring enables early intervention to reduce cardiovascular risk.

    Baseline lipid panel, then annually if normal; more frequently if elevated