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


Дәйексөз келтіру

Толық мәтін

Ашық рұқсат Ашық рұқсат
Рұқсат жабық Рұқсат берілді
Рұқсат жабық Тек жазылушылар үшін

Аннотация

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).

Авторлар туралы

V. Erdman

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

Хат алмасуға жауапты Автор.
Email: danivera@mail.ru
Ресей, Ufa, 450054

T. Nasibullin

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

Email: danivera@mail.ru
Ресей, Ufa, 450054

I. Tuktarova

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

Email: danivera@mail.ru
Ресей, Ufa, 450054

R. Somova

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

Email: danivera@mail.ru
Ресей, Ufa, 450054

O. Mustafina

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

Email: danivera@mail.ru
Ресей, Ufa, 450054


© Pleiades Publishing, Inc., 2019

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