The Serum Glucose Response After a Dietary Treatment in Subjects with Metabolic Syndrome was predicted by a Genetic Predisposition Score that Integrated 11 Polymorphism

There is the need to develop genetic predisposition scores (GPS), that integrate the additive associations of a set of single nucleotide polymorphism (SNPs) with several phenotypes. Therefore, the aim of this work was to study how a GPS could be used as a predictive tool to infer the concentrations of glucose in response to a dietary treatment in subject with metabolic syndrome (MetS). We studied in 67 participants with MetS 11 SNPs at seven loci, and their serum glucose response after a dietary treatment. Subjects received either placebo or dietary portfolio (soy protein, nopal, chia seed and oat) for 2 months. To develop the GPS, we assigned a value to each polymorphism as follows: 1 unit (high beneficial‐response to glucose for allele homozygous), 0.5 unit (heterozygous) and 0 units (low beneficial‐response to glucose homozygous). The additive effect of each SNP on serum glucose was expressed as Δ mg/dL. Our results showed that subjects with a GPS >; 4 had a low response to a dietary treatment as observed by an increase of serum glucose, whereas subjects with a GPS< 4 had a high response to the dieatray treatment by reducing serum blood glucose. This response was independent of the consumption of placebo or dietary portfolio. Thus, a genetic score of 11 SNPs predicted the serum blood glucose response to a dietary treatment. (Grant: CONACyT 181685 to MGC)