N-aсetyltransferase (NAT2) gene polymorphism and gene network analysis

Abstract

To search for new targets of therapy, it is necessary to reconstruct the gene network of the disease, and identify the interaction of genes, proteins, and drug compounds. Using the online bioinformatics tools we have analyzed the current data set related to the metabolism of xenobiotics, mediated by the N-acetyltransferase 2 (NAT2) gene. The study of allelic polymorphism of the NAT2 gene has a prognostic value, allowing to determine the risk of a number of oncological diseases, the degree of increased risk due to smoking and exposure to chemical carcinogens, including drugs. The aim of this study was to determine the frequencies of two important “slow” variants of the NAT2 gene (NAT2*5, rs1801280 and NAT2*7, rs1799931), which significantly affected the rate of xenobiotic acetylation among the indigenous Nenets population of Northern Siberia. The obtained frequencies of polymorphic variants among the Nenets occupy an intermediate value between those for Europeans and Asians, which might indicate specific features of adaptation. We present a model of the distribution of two polymorphic variants of the NAT2 gene involved in the biotransformation of xenobiotics to study the characteristics of their metabolism in the indigenous inhabitants of Yamal.

Editorial: Population and ancestry specific variation in disease susceptibility

“…For instance, cardiovascular diseases tend to manifest in distinct ways unique to the ancestry of the patient as was discussed for cardiovascular disease in African ancestry populations (Harshfield et al, 2021). Traditional high fat and protein diets in cold regions of North Asia have consequences on obesity and diabetes-related diseases (Bai et al, 2015;Tiis et al, 2020). Ancestry associations with obesity in the Arab population in Kuwait were discussed by Dashti et al (2021).…”

“…Madhoun et al discuss a genetic variant of metabolic syndrome in Arab and Asian ethnic cohorts. Metabolic syndrome is triggered by various factors that include genetic predisposition, aging, obesity, insulin resistance, and physical inactivity (Tiis et al, 2020). One of the genetic risk loci is the Caveolin-1 gene.…”

Note on genomic ancestry and variation in disease susceptibility

“…Methods and Algorithms: We have organized special journal issue (Research Topic) in "Frontiers in Genetics" considering genetic background and molecular mechanisms of the human diseases [5]. Understanding one's ancestry can play a monumental role in understanding variation in disease susceptibility across various populations and glean into the complex gene and environment interplay in ancestry-specific disorders [8]. Thus, traditional high fat and protein diets in cold regions of Siberia and North Asia have consequences on obesity and diabetes-related diseases [2].…”

Gene network reconstruction and functional association studies for oncological diseases using online bioinformatics tools

“…Results: We reconstructed gene networks for series of oncological diseases -glioma, lymphoma, and Kaposi's sarcoma. The work on gene network models include glioma [2], Parkinson's disease [5], and metabolic syndrome [9]. The steps include collection of a list of genes associated with the development of the disease (e.g., Parkinson's disease), analyze gene ontology categories for such a list, and reconstruct the gene network.…”