Literature DB >> 34420811

Association of FTO, ABCA1, ADRB3, and PPARG variants with obesity, type 2 diabetes, and metabolic syndrome in a Northwest Mexican adult population.

Jorge Velazquez-Roman1, Uriel A Angulo-Zamudio1, Nidia León-Sicairos2, Julio Medina-Serrano3, Nora DeLira-Bustillos4, Hugo Villamil-Ramírez5, Samuel Canizales-Quinteros5, Luis Macías-Kauffer5, Abraham Campos-Romero6, Jonathan Alcántar-Fernández6, Adrian Canizalez-Roman7.   

Abstract

AIM: To identify associations among allelic variants of the genes FTO, ABCA1, ADRB3, and PPARG with anthropometric and biochemical traits, metabolic diseases (obesity, T2D or metabolic syndrome) in an adult population from Northwest Mexico.
METHODS: Blood samples were collected from 846 subjects including 266 normal weight subjects, 285 with obesity, and 295 with T2D. Of the 846 persons in the study, 365 presented metabolic syndrome diagnostic criteria. Anthropometric and biochemical traits were recorded and 4 single nucleotide polymorphisms (SNPs): FTO rs9939609 A-allele, ABCA1 rs9282541 A-allele, ADRB3 rs4994 G-allele, and PPARG rs1801282 G-allele were genotyped by real-time PCR.
RESULTS: FTO rs9939609 A-allele was significantly associated with obesity (p: 8.3 × 10-4), and metabolic syndrome (p: 0.001), but no individual SNPs were significantly associated with T2D. Finally, the cumulative risk of the four SNPs was significantly associated with obesity (p: 1.95 × 10-4).
CONCLUSION: Associations in FTO, ABCA, ADRB3, and PPARG SNPs presented in this study with obesity and metabolic syndrome could represent a risk for developing metabolic diseases in Northwest Mexican adult subjects.
Copyright © 2021. Published by Elsevier Inc.

Entities:  

Keywords:  ABCA; ADRB3 and PPARG; FTO; Metabolic syndrome; Obesity; SNP; Type 2 diabetes

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Year:  2021        PMID: 34420811     DOI: 10.1016/j.jdiacomp.2021.108025

Source DB:  PubMed          Journal:  J Diabetes Complications        ISSN: 1056-8727            Impact factor:   2.852


  1 in total

1.  Study on Dynamic Progression and Risk Assessment of Metabolic Syndrome Based on Multi-State Markov Model.

Authors:  Jaina Razbek; Yan Zhang; Wen-Jun Xia; Wan-Ting Xu; De-Yang Li; Zhe Yin; Ming-Qin Cao
Journal:  Diabetes Metab Syndr Obes       Date:  2022-08-16       Impact factor: 3.249

  1 in total

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