“ big data ” approaches for prevention of the metabolic syndrome

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SUMMARY

    For genomic and epigenome studies, available sources are usually from blood samples acquired from populations recruited for extensive prospective studies of single centers or multiple centers, national bio-databases, or models from certain institutes (Chitrala et_al, 2020; Nuotio et_al, 2020; Parisinos et_al, 2020). Techniques involving micro-arrays or chips as highthroughput platforms are commonly used for sequencing and analysis of genomic DNA and DNA methylation from peripheral blood leukocytes, and regression-based mathematical models are applied in many of these studies as genomic-wide and epigenome-wide association studies (Murrell et_al, 2005; Wilson et_al . . .

     

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