Abdominal obesity, as assessed by waist circumference, is closely associated with metabolic dysfunction. Manual measurements have so far been the method of choice for body circumference assessment. 3D body surface scanners facilitate computation of body measures, but limited information is available on validity and reliability. We found strong correlations between automated measurements with the bodyscanner VitussmartXXL and manual measurements (Jaeschke et al, PLoS ONE 2015). Reliability was high and correlations with parameters of MetS were similar between automated and manual measurements. Supported by the Federal Ministry for Economic Affairs and Energy (BMWi), we investigate in the MetSScan Study to what extent automated measures of abdominal volume may improve detection of MetS.
Analysis of complex data from omics studies requires appropriate statistical approaches. We propose a biological framework and a statistical model incorporating multi-level biological measures, which leads to more powerful genetic association analyses (Konigorski et al, BMC Proc, in press). We investigated the effect of single nucleotide variants on blood pressure and gene expression, while considering the non-directional dependence between both, using copula functions. Our results show that such tests have smaller p-values than univariate single or multi marker tests.
Jaeschke L, Steinbrecher A, Pischon T. Measurement of waist and hip circumference with a body surface scanner: feasibility, validity, reliability, and correlations with markers of the metabolic syndrome. PLoS One 2015;10:e0119430