Association Analysis of Polymorphic Gene Variants in the JAK/STAT Signaling Pathway with Aging and Longevity


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Abstract

The aim of this study was to investigate the associations between the polymorphic loci in the JAK/STAT signaling pathway and the aging processes and longevity in the populations of ethnic Tatars. For this aim, we analyzed the age dynamics of genotype frequencies of the JAK1 (32454C>T, rs310216), JAK3 (14385C>T, rs3212780), STAT1 (14228A>C, rs12693591), STAT3 (19006G>C, rs2293152), and STAT5A (1985T>C, rs9889323) genes. Using logistic regression analysis, we discovered the association of these polymorphic loci with advanced age. In the general study group, the probability of the JAK1*C/*Т genotype was higher among persons of advanced age (69–80 years old, p = 0.031, OR = 1.070). In turn, the chance to reach advanced age was lower among the carriers of the JAK1*Т/*Т (58–82 years old, p = 0.014, OR = 0.958) and STAT5A*T/*T (46–109 years old, p < 0.001, OR = 0.979) genotypes. The probability of attaining longevity was higher among men with the STAT3*С/*С genotype (25–98 years old, p = 0.027, OR = 1.016) and was lower among men with the STAT3*G/*С genotype (73–98 years old, p = 0.044, OR = 0.950). In the group of women, the probability to reach 80 years of age and over was higher among carriers of the JAK3*Т/*С (48–81 years old, p = 0.046, OR = 1.024), STAT1*С/*A (61–88 years old, p = 0.041, OR = 1.035), and STAT5A*T/*C (46–82 years old, p < 0.0001, OR = 1.044) genotypes. In turn, among middle age women with the STAT1*С/*С genotype, the probability to attain longevity was lower (55–109 years old, p = 0.013, OR = 0.980).

About the authors

V. V. Erdman

Institute of Biochemistry and Genetics, Ufa Federal Research Center, Russian Academy of Sciences

Author for correspondence.
Email: danivera@mail.ru
Russian Federation, Ufa, 450054

T. R. Nasibullin

Institute of Biochemistry and Genetics, Ufa Federal Research Center, Russian Academy of Sciences

Email: danivera@mail.ru
Russian Federation, Ufa, 450054

I. A. Tuktarova

Institute of Biochemistry and Genetics, Ufa Federal Research Center, Russian Academy of Sciences

Email: danivera@mail.ru
Russian Federation, Ufa, 450054

R. Sh. Somova

Institute of Biochemistry and Genetics, Ufa Federal Research Center, Russian Academy of Sciences

Email: danivera@mail.ru
Russian Federation, Ufa, 450054

O. E. Mustafina

Institute of Biochemistry and Genetics, Ufa Federal Research Center, Russian Academy of Sciences

Email: danivera@mail.ru
Russian Federation, Ufa, 450054


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