The relationship of genetic risk score with cardiometabolic risk factors: a cross-sectional study

BMC Cardiovascular Disorders

卷:22

Research

Seyed Ali Keshavarz¹  Niloufar Rasaei²  Mahsa Samadi²  Fatemeh Gholami²  Khadijeh Mirzaei³  Mir Saeid Yekaninejad⁴  Zahra Karimi⁴  Gholamali Javdan⁵ 

[1] Department of Clinical Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran;

[2] Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), P. O Box 6446, 14155, Tehran, Iran;

[3] Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), P. O Box 6446, 14155, Tehran, Iran;Food Microbiology Research Center, Tehran University of Medical Sciences, Tehran, Iran;

[4] Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Science, Tehran, Iran;

[5] Food Health Research Center, Hormozgan University of Medical Sciences, Bandar Abbas, Iran;

关键词: Cardiometabolic risk factors;    Genetic risk score;    Obesity;   

DOI  :  10.1186/s12872-022-02888-z

 received in 2022-05-17, accepted in 2022-10-10,  发布年份 2022

来源: Springer

【 摘 要 】

Background & aimsFor more than eight decades, cardiovascular disease (CVD) has remained the leading cause of death in the world. CVD risk factors are multifaceted, with genetics and lifestyle both playing a role. The aim of this study was to investigate the association between a genetic profile risk score for obesity GRS and cardio-metabolic risk factors in overweight and obese women.MethodsThe current cross-sectional study was conducted on 391 overweight and obese women. The genetic risk score was created by combining three single nucleotide polymorphisms [MC4R (rs17782313), CAV-1 (rs3807992), and Cry-1 (rs2287161)]. Anthropometric measurements, blood pressure, and some blood parameters were measured by standard protocols.ResultsA significant association between the GRS and some of cardiometabolic risk factors variables such as body mass index (β = 0. 49, 95%CI = 0.22 to 0.76, p < 0.001), waist circumference (β = 0. 86, 95%CI = 0.18 to 1.54, p = 0.01), body fat mass (β = 0. 82, 95%CI = 0.25 to 1.39, p = 0.005), %body fat (β = 0. 44, 95%CI = 0.06 to 0.82, p = 0.02), and hs-CRP (β = 0.46, 95% CI = 0.14 to 0.78, p = 0.005) was observed in crude model. After adjustment for confounding factors (age, BMI, and physical activity), a significant positive association was observed between BMI (p = 0.004), WC (p = 0.02), body fat mass (p = 0.01), %BF (p = 0.01), hs-CRP (p = 0.009), and GRS. In addition, we discovered a significant negative association between the GRS and BMC (= -0.02, 95%CI = -0.05 to -0.001, p = 0.04). But other variables did not show any significant association with GRS among obese and overweight women.ConclusionWe found a significant positive association between GRS, including MC4R (rs17782313), CAV-1 (rs3807992), and Cry-1 (rs2287161) and cardiometabolic risk factors among overweight and obese Iranian women.

【 授权许可】

CC BY   
© The Author(s) 2022

【 图 表 】

42004_2022_764_Taba_HTML.png

Fig. 1