rs11856877 - INAFM2 - CCDC9B
Magnitude 2.2 · 1 study on file
Reported associations
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The contribution of common and rare genetic variants to variation in metabolic traits in 288,137 East Asians - Unknown journal (n.d.) · Unknown authors · PubMed 36333282
ABSTRACT: Metabolic traits are heritable phenotypes widely-used in assessing the risk of various diseases. We conduct a genome-wide association analysis (GWAS) of nine metabolic traits (including glycemic, lipid, liver enzyme levels) in 125,872 Korean subjects genotyped with the Korea Biobank Array. Following meta-analysis with GWAS from Biobank Japan identify 144 novel signals (MAF ≥ 1%), of which 57.0% are replicated in UK Biobank. Additionally, we discover 66 rare (MAF < 1%) variants, 94.4% of them co-incident to common loci, adding to allelic series. Although rare variants have limited contribution to overall trait variance, these lead, in carriers, substantial loss of predictive accuracy from polygenic predictions of disease risk from common variant alone. We capture groups
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Lifestyle context
Concrete actions anchored to the cited research. We do not prescribe, we describe.
Diet
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low glycemic index diet Moderate
Risk allele associated with elevated HbA1c; dietary composition influences glucose homeostasis and glycemic control
Emphasize whole grains, legumes, vegetables; minimize refined carbohydrates and added sugars
Discuss with your doctor
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diabetes risk assessment and prevention strategy Moderate
Genetic variant increases HbA1c, a primary diabetes risk marker, warranting personalized prevention planning
Exercise
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regular aerobic exercise Moderate
Risk allele associated with elevated HbA1c; aerobic activity improves insulin sensitivity and glucose clearance
150 minutes per week moderate-intensity or 75 minutes vigorous-intensity aerobic activity
Screening
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hemoglobin A1c levels Moderate
Risk allele G associated with increased hemoglobin A1c levels in large GWAS study
Measure HbA1c annually or more frequently as recommended by healthcare provider