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

BACKGROUND & AIMS: For 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 profil...

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Autores principales: Gholami, Fatemeh, Rasaei, Niloufar, Samadi, Mahsa, Yekaninejad, Mir Saeid, Keshavarz, Seyed Ali, Javdan, Gholamali, Karimi, Zahra, Mirzaei, Khadijeh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9632045/
https://www.ncbi.nlm.nih.gov/pubmed/36324080
http://dx.doi.org/10.1186/s12872-022-02888-z
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author Gholami, Fatemeh
Rasaei, Niloufar
Samadi, Mahsa
Yekaninejad, Mir Saeid
Keshavarz, Seyed Ali
Javdan, Gholamali
Karimi, Zahra
Mirzaei, Khadijeh
author_facet Gholami, Fatemeh
Rasaei, Niloufar
Samadi, Mahsa
Yekaninejad, Mir Saeid
Keshavarz, Seyed Ali
Javdan, Gholamali
Karimi, Zahra
Mirzaei, Khadijeh
author_sort Gholami, Fatemeh
collection PubMed
description BACKGROUND & AIMS: For 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. METHODS: The 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. RESULTS: A 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. CONCLUSION: We 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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spelling pubmed-96320452022-11-04 The relationship of genetic risk score with cardiometabolic risk factors: a cross-sectional study Gholami, Fatemeh Rasaei, Niloufar Samadi, Mahsa Yekaninejad, Mir Saeid Keshavarz, Seyed Ali Javdan, Gholamali Karimi, Zahra Mirzaei, Khadijeh BMC Cardiovasc Disord Research BACKGROUND & AIMS: For 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. METHODS: The 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. RESULTS: A 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. CONCLUSION: We 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. BioMed Central 2022-11-02 /pmc/articles/PMC9632045/ /pubmed/36324080 http://dx.doi.org/10.1186/s12872-022-02888-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Gholami, Fatemeh
Rasaei, Niloufar
Samadi, Mahsa
Yekaninejad, Mir Saeid
Keshavarz, Seyed Ali
Javdan, Gholamali
Karimi, Zahra
Mirzaei, Khadijeh
The relationship of genetic risk score with cardiometabolic risk factors: a cross-sectional study
title The relationship of genetic risk score with cardiometabolic risk factors: a cross-sectional study
title_full The relationship of genetic risk score with cardiometabolic risk factors: a cross-sectional study
title_fullStr The relationship of genetic risk score with cardiometabolic risk factors: a cross-sectional study
title_full_unstemmed The relationship of genetic risk score with cardiometabolic risk factors: a cross-sectional study
title_short The relationship of genetic risk score with cardiometabolic risk factors: a cross-sectional study
title_sort relationship of genetic risk score with cardiometabolic risk factors: a cross-sectional study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9632045/
https://www.ncbi.nlm.nih.gov/pubmed/36324080
http://dx.doi.org/10.1186/s12872-022-02888-z
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