TY - JOUR T1 - Genetic factors associated with obesity risks in a Kazakhstani population JF - BMJ Nutrition, Prevention & Health JO - BMJ Nutrition SP - 90 LP - 101 DO - 10.1136/bmjnph-2020-000139 VL - 4 IS - 1 AU - Madina Razbekova AU - Alpamys Issanov AU - Mei-Yen Chan AU - Robbie Chan AU - Dauren Yerezhepov AU - Ulan Kozhamkulov AU - Ainur Akilzhanova AU - Chee-Kai Chan Y1 - 2021/06/01 UR - http://nutrition.bmj.com/content/4/1/90.abstract N2 - 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.All data relevant to the study are included in the article or uploaded as supplementary information. Deidentified participant data are stored with National Lab Astana. ER -