ArticleBMC cardiovascular disorders2022
The relationship of genetic risk score with cardiometabolic risk factors: a cross-sectional study.
Article in BMC cardiovascular disorders, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.
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Who cites it
13 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- The effects of ursolic acid on cardiometabolic risk factors: a systematic review and meta-analysis.Future cardiology · 2024Pooled it
- The effects of prebiotic, probiotic or synbiotic supplementation on overweight/obesity indicators: an umbrella review of the trials' meta-analyses.Frontiers in endocrinology · 2024Pooled it
- Multimodal (Bio)Markers and Risk of Obesity - A Comprehensive Scoping Review.Advances in nutrition (Bethesda, Md.) · 2026Article
- High Estimated 24-Hour Urinary Sodium Excretion is Associated With Metabolic Syndrome and Its Phenotypes: Tehran Lipid and Glucose Study.Journal of nutrition and metabolism · 2026Article
- Interaction of genetic risk score (GRS) and Plant-Based diet on atherogenic factors and body fat distribution indices among women with overweight and obesity: a cross-sectional study.Scientific reports · 2025Article
- The relationship of genetic signature for cardiometabolic risk with biomarkers of inflammatory and oxidative stress in diabetic patients.BMC endocrine disorders · 2025Article
- Interaction between 3-SNP genetic risk score and dietary fats intake on inflammatory markers among overweight and obese women.Journal of diabetes and metabolic disorders · 2025Article
- Exploring the impact of genetic factors and fatty acid quality on visceral and overall Fat levels in overweight and obese women: a genetic risk score study.BMC nutrition · 2025Article
- lncRNA TUG1 transcript levels and psychological disorders: insights into interplay of glycemic index and glycemic load.BMC medical genomics · 2024Article
- The transcript level of long non-coding RNAs; MALAT1 and TUG1, and the association with metabolic syndrome-related parameters in women with overweight and obesity.Journal of diabetes and metabolic disorders · 2024Article
- Investigation of the interaction between genetic risk score (GRS) and fatty acid quality indices on metabolic syndrome among overweight and obese women.BMC medical genomics · 2024Article
- The interaction between polyphenol intake and genes (MC4R, Cav-1, and Cry1) related to body homeostasis and cardiometabolic risk factors in overweight and obese women: a cross-sectional study.Frontiers in nutrition · 2024Article
- Early elevation of high-sensitivity C-reactive protein as a predictor for cardiovascular disease incidence and all-cause mortality: a landmark analysis.Scientific reports · 2023Article
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8 authors.
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Abstract
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.
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