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Genetic factors associated with obesity risks in a Kazakhstani population

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. SETTIN...

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Autores principales: Razbekova, Madina, Issanov, Alpamys, Chan, Mei-Yen, Chan, Robbie, Yerezhepov, Dauren, Kozhamkulov, Ulan, Akilzhanova, Ainur, Chan, Chee-Kai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8258080/
https://www.ncbi.nlm.nih.gov/pubmed/34308116
http://dx.doi.org/10.1136/bmjnph-2020-000139
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author Razbekova, Madina
Issanov, Alpamys
Chan, Mei-Yen
Chan, Robbie
Yerezhepov, Dauren
Kozhamkulov, Ulan
Akilzhanova, Ainur
Chan, Chee-Kai
author_facet Razbekova, Madina
Issanov, Alpamys
Chan, Mei-Yen
Chan, Robbie
Yerezhepov, Dauren
Kozhamkulov, Ulan
Akilzhanova, Ainur
Chan, Chee-Kai
author_sort Razbekova, Madina
collection PubMed
description 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.
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spelling pubmed-82580802021-07-23 Genetic factors associated with obesity risks in a Kazakhstani population Razbekova, Madina Issanov, Alpamys Chan, Mei-Yen Chan, Robbie Yerezhepov, Dauren Kozhamkulov, Ulan Akilzhanova, Ainur Chan, Chee-Kai BMJ Nutr Prev Health Original Research 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. BMJ Publishing Group 2021-02-05 /pmc/articles/PMC8258080/ /pubmed/34308116 http://dx.doi.org/10.1136/bmjnph-2020-000139 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Original Research
Razbekova, Madina
Issanov, Alpamys
Chan, Mei-Yen
Chan, Robbie
Yerezhepov, Dauren
Kozhamkulov, Ulan
Akilzhanova, Ainur
Chan, Chee-Kai
Genetic factors associated with obesity risks in a Kazakhstani population
title Genetic factors associated with obesity risks in a Kazakhstani population
title_full Genetic factors associated with obesity risks in a Kazakhstani population
title_fullStr Genetic factors associated with obesity risks in a Kazakhstani population
title_full_unstemmed Genetic factors associated with obesity risks in a Kazakhstani population
title_short Genetic factors associated with obesity risks in a Kazakhstani population
title_sort genetic factors associated with obesity risks in a kazakhstani population
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8258080/
https://www.ncbi.nlm.nih.gov/pubmed/34308116
http://dx.doi.org/10.1136/bmjnph-2020-000139
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