rs116123555 - NALCN
Magnitude 4.5 · 1 study on file
Reported associations
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Genome-wide association analysis of metabolic syndrome quantitative traits in the GENNID multiethnic family study - Unknown journal (n.d.) · Unknown authors · PubMed 34074324
ABSTRACT: Background To identify genetic associations of quantitative metabolic syndrome (MetS) traits and characterize heterogeneity across ethnic groups. Methods Data was collected from GENetics of Noninsulin dependent Diabetes Mellitus (GENNID), a multiethnic resource of Type 2 diabetic families and included 1520 subjects in 259 African-American, European-American, Japanese-Americans, and Mexican-American families. We focused on eight MetS traits: weight, waist circumference, systolic and diastolic blood pressure, high-density lipoprotein, triglycerides, fasting glucose, and insulin. Using genotyped and imputed data from Illumina's Multiethnic array, we conducted genome-wide association analyses with linear mixed models for all ethnicities, except for the smaller Japanese-American gro
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Lifestyle context
Concrete actions anchored to the cited research. We do not prescribe, we describe.
Screening
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Annual fasting glucose and insulin screening Moderate
NALCN rs116123555 C allele associates with elevated fasting insulin; monitoring identifies metabolic changes