rs113714930 - TAS2R16 - SLC13A1

Magnitude 2.0 · 1 study on file

Reported associations

• Variance-quantitative trait loci enable systematic discovery of gene-environment interactions for cardiometabolic serum biomarkers - Nature communications (2022) · Westerman KE, Majarian TD, Giulianini F, Jang DK, Miao J, Florez JC, Chen H, Chasman DI, Udler MS, Manning AK, Cole JB · PubMed 35810165

  ABSTRACT: Gene-environment interactions represent the modification of genetic effects by environmental exposures and are critical for understanding disease and informing personalized medicine. These often induce differential phenotypic variance across genotypes; these variance-quantitative trait loci can be prioritized in a two-stage interaction detection strategy to greatly reduce the computational and statistical burden and enable testing of a broader range of exposures. We perform genome-wide variance-quantitative trait locus analysis for 20 serum cardiometabolic biomarkers by multi-ancestry meta-analysis of 350,016 unrelated participants in the UK Biobank, identifying 182 independent locus-biomarker pairs (p < 4.5×10−9). Most are concentrated in a small subset (4%) of loci with

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