DSpace Repository

GENETIC FACTORS ASSOCIATED WITH OBESITY RISKS IN A KAZAKHSTANI POPULATION

Система будет остановлена для регулярного обслуживания. Пожалуйста, сохраните рабочие данные и выйдите из системы.

Show simple item record

dc.contributor.author Razbekova, Madina
dc.contributor.author Issanov, Alpamys
dc.contributor.author Chan, Mei-Yen
dc.contributor.author Chan, Robbie
dc.contributor.author Yerezhepov, Dauren
dc.contributor.author Kozhamkulov, Ulan
dc.contributor.author Akilzhanova, Ainur
dc.contributor.author Chan, Chee-Kai
dc.date.accessioned 2022-11-15T04:58:29Z
dc.date.available 2022-11-15T04:58:29Z
dc.date.issued 2021
dc.identifier.citation Mashekova, A., Baltash, Y., Yegamkulov, M., Trussov, I., Bakenov, Z., & Mukanova, A. (2022). Polycationic doping of the LATP ceramic electrolyte for Li-ion batteries. RSC Advances, 12(46), 29595–29601. https://doi.org/10.1039/d2ra05782d en_US
dc.identifier.uri http://nur.nu.edu.kz/handle/123456789/6780
dc.description.abstract Objectives There is limited published literature on the genetic risks of chronic inflammatory related disease (eg, obesity and cardiovascular disease) among the Central Asia population. The aim is to determine potential genetic loci as risk factors for obesity for the Kazakhstani population. Setting Kazakhstan. Participants One hundred and sixty-three Kazakhstani nationals (ethnic groups: both Russians and Kazakhs) were recruited for the cross-sectional study. Linear regression models, adjusted for confounding factors, were used to examine the genetic associations of single nucleotide polymorphisms (SNPs) in 19 genetic loci with obesity (73 obese/overweight individuals and 90 controls). Results Overall, logistic regression analyses revealed genotypes C/T in CRP (rs1205), A/C in AGTR1 (rs5186), A/G in CBS (rs234706), G/G in FUT2 (rs602662), A/G in PAI-1 (rs1799889), G/T (rs1801131) and A/G (rs1801133) in MTHFR genes significantly decrease risk of overweight/obesity. After stratification for ethnicity, rs234706 was significantly associated with overweight/obesity in both Russians and Kazakhs, while rs1800871 was significant in Kazakhs only. Conclusions This study revealed that variations in SNPs known to be associated with cardiovascular health can also contribute to the risks of developing obesity in the population of Kazakhstan. en_US
dc.language.iso en en_US
dc.publisher BMJ Nutrition, Prevention and Health en_US
dc.rights Attribution-NonCommercial-ShareAlike 3.0 United States *
dc.rights.uri http://creativecommons.org/licenses/by-nc-sa/3.0/us/ *
dc.subject Type of access: Open Access en_US
dc.subject Kazakhstani population en_US
dc.subject obesity risks en_US
dc.subject Genetic factors en_US
dc.title GENETIC FACTORS ASSOCIATED WITH OBESITY RISKS IN A KAZAKHSTANI POPULATION en_US
dc.type Article en_US
workflow.import.source science


Files in this item

The following license files are associated with this item:

This item appears in the following Collection(s)

Show simple item record

Attribution-NonCommercial-ShareAlike 3.0 United States Except where otherwise noted, this item's license is described as Attribution-NonCommercial-ShareAlike 3.0 United States