Confluence of Genes Related to the Combined Etiology DOISm (Diabetes, Obesity, Inflammation and Metabolic Syndrome) in Dissecting Nutritional Phenotypes

摘要

The term DOISm (Diabetes, Obesity, Inflammation and metabolic Syndrome) describes a confluence of comorbidities specifying these disease phenotypes. Recent studies using genome-wide association analysis have identified genes and variations that correlate human phenotype within phenotype prediction programs. Benefiting from such post-genomics outcomes, we catalogued genes that have been associated with each of the four conditions before searching for confluence of any two or three conditions, and the confluence of genes concomitantly involved in all phenotypes. Bioinformatics analyses were performed using multi-relational data mining techniques to cover sequence, structure and functional/clinical features. We used high-confidence predictions for gene functional classification analyses for better phenotyping DOISm confluence. Our curated panel of 1439 DOISm genes and a subset of 217 confluent genes represents a platform to assist in dissecting complex nutritional phenotypes. Our repertoire of human genes likely to be involved in DOISm is an attempt to guide further subtyping of complex phenotypes.