rs12140013 - THEMIS2
Magnitude 2.2 · 1 study on file
Reported associations
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Whole-Genome Sequencing Coupled to Imputation Discovers Genetic Signals for Anthropometric Traits - Unknown journal (n.d.) · Unknown authors · PubMed 28552196
ABSTRACT: Deep sequence-based imputation can enhance the discovery power of genome-wide association studies by assessing previously unexplored variation across the common- and low-frequency spectra. We applied a hybrid whole-genome sequencing (WGS) and deep imputation approach to examine the broader allelic architecture of 12 anthropometric traits associated with height, body mass, and fat distribution in up to 267,616 individuals. We report 106 genome-wide significant signals that have not been previously identified, including 9 low-frequency variants pointing to functional candidates. Of the 106 signals, 6 are in genomic regions that have not been implicated with related traits before, 28 are independent signals at previously reported regions, and 72 represent previously reported signals
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Lifestyle context
Concrete actions anchored to the cited research. We do not prescribe, we describe.
Discuss with your doctor
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genetic predisposition to waist-hip ratio and metabolic risk Moderate
rs12140013 T allele associates with higher waist-hip ratio and visceral adiposity; personalized metabolic management may be beneficial
Screening
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waist-hip ratio and abdominal fat distribution Moderate
T allele of rs12140013 associates with higher waist-hip ratio, a marker of visceral adiposity and metabolic risk
measure waist and hip circumference annually