Polymorphic variants of the genes for enzymes of the antioxidant system, apoptosis and inflammation as potential predictors of myocardial infarction.

Myocardial infarction (MI) is a multifactorial polygenic disease that develops as a result of a complex interaction of numerous genetic factors and the external environment. Accordingly, the contribution of each of them separately is usually not large and may significantly depend on the state of other accompanying factors. The purpose of the study was to search for informative predictors of MI risk based on polygenic analysis of polymorphic variants of (1) the antioxidant defense enzyme genes PON1 (rs662), PON2 (rs7493), CAT (rs1001179), MSRA (rs10098474) and GSTP1 (rs1695); (2) the apoptosis genes CASP8 (rs3834129), TP53 (rs1042522) and BCL2 (rs12454712); and (3) the inflammation genes CRP (rs1205), CX3CR1 (rs3732378), IL6 (rs1800795) and CCL2 (rs1024611).

Polygenic markers of survival and longevity in the antioxidant genes PON1, PON2, MTHFR, MSRA, SOD1, NQO1, and CAT in a 20-year follow-up study in the population from the Volga-Ural region.

Background: Genetic background of healthy or pathological styles of aging and human lifespan is determined by joint gene interactions. Lucky combinations of antioxidant gene polymorphisms can result in a highly adaptive phenotype, providing a successful way to interact with external triggers. Our purpose was to identify the polygenic markers of survival and longevity in the antioxidant genes among elderly people with physiological and pathological aging.

[Multiple sclerosis in the Republic of Bashkortostan: population-specific genetic predictors and the results of a 20-year clinical follow-up study].

Objective: Identification of a complex of genetic predictors of multiple sclerosis (MS) based on previously obtained results in genome-wide association studies of disease markers (GWAS markers) in a population of MS patients and healthy individuals of the Republic of Bashkortostan (Russian Federation) using polygenic detection.

Material And Methods: The total study group consisted of 2048 people (641 patients with MS and 1407 healthy individuals) who permanently resided in the Republic of Bashkortostan and belonged to the Bashkir (325), Russian (772) or Tatar (951) nationalities. The analysis of association between MS and polymorphisms previously associated with the disease according to GWAS data was performed.

Alu Deletions in and Genes Are Key Components of Polygenic Predictors of Longevity.

Longevity is a unique human phenomenon and a highly stable trait, characterized by polygenicity. The longevity phenotype occurs due to the ability to successfully withstand the age-related genomic instability triggered by Alu elements. The purpose of our cross-sectional study was to evaluate the combined contribution of , , *, , , , , , and Alu elements to longevity.

Multilocus evaluation of genetic predictors of multiple sclerosis.

Background: Genome-wide association studies identified numerous susceptibility loci for multiple sclerosis in populations of European ancestry, but the associations are not always reproducible in other populations due to admixture and different linkage disequilibrium patterns obscuring true association signals.

Objective: Our aim was to identify genetic predictors of multiple sclerosis in three ethnically homogenous populations from the Volga-Ural region of Russian Federation.

Methods: In the largest to date study of multiple sclerosis in Russian population, involving 2048 participants from the Republic of Bashkortostan, Russian Federation (641 patients with multiple sclerosis and 1407 unaffected individuals), we performed replication analysis of previously identified genome-wide signals for multiple sclerosis.