Literature DB >> 26238699

The fatty acid binding protein 2 (FABP2) polymorphism Ala54Thr and obesity in Pakistan: A population based study and a systematic meta-analysis.

Shahida Hasnain1.   

Abstract

The prevalence of obesity has increased worldwide and it has been designated as a global epidemic by WHO. In Pakistan, recent decades have seen an explosion of obesity, but the research in the field of obesity genetics is limited. We aimed to determine the allele/genotype frequencies of Ala54Thr polymorphism of the FABP2 gene that affects fatty acid metabolism and look for its association on serum biochemical parameters in the Pakistani population. A total of 569 obese and 446 non obese controls were genotyped by PCR-RFLP method. Serum parameters were determined by commercially available kits. Results showed a higher allele frequency of Thr54 allele in cases (0.424) as well as controls (0.331) than Caucasians (0.271). The risk allele was significantly associated with obesity (p=0.002) and there was a significant difference in allele and genotype frequencies among cases and controls (p=0.002). The risk allele is significantly associated with serum total cholesterol and LDL-c but not triglycerides, HDL-c, leptin, systolic/diastolic blood pressure and insulin. The Ala54Thr polymorphism has a high prevalence in the Pakistani population and may play a considerable role in the development of obesity. The effect on obesity may be in part mediated through changing serum cholesterol levels. We then performed a systematic search for any previous reports on the association of the variant with obesity. We identified 5 studies for Ala54Thr association with obesity in Asian subjects. The meta-analysis revealed a significant association of the variant with obesity (Thr allele: OR=1.15, CI=1.02-1.30 and p-value=0.02).
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  FABP2 Ala54Thr polymorphism; Lipids; Meta-analysis; Obesity

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Year:  2015        PMID: 26238699     DOI: 10.1016/j.gene.2015.07.087

Source DB:  PubMed          Journal:  Gene        ISSN: 0378-1119            Impact factor:   3.688


  6 in total

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Authors:  - Shabana; Shahida Hasnain
Journal:  J Biosci       Date:  2016-06       Impact factor: 1.826

2.  GWAS implicated risk variants in different genes contribute additively to increase the risk of coronary artery disease (CAD) in the Pakistani subjects.

Authors:  Saleem Ullah Shahid; N A Shabana; Abdul Rehman; Steve Humphries
Journal:  Lipids Health Dis       Date:  2018-04-19       Impact factor: 3.876

3.  Distinct Alteration of Gene Expression Programs in the Small Intestine of Male and Female Mice in Response to Ablation of Intestinal Fabp Genes.

Authors:  Yiheng Chen; Luis B Agellon
Journal:  Genes (Basel)       Date:  2020-08-15       Impact factor: 4.096

4.  The p. N103K mutation of leptin (LEP) gene and severe early onset obesity in Pakistan.

Authors:  Shahida Hasnain
Journal:  Biol Res       Date:  2016-04-13       Impact factor: 5.612

5.  Use of a gene score of multiple low-modest effect size variants can predict the risk of obesity better than the individual SNPs.

Authors:  Saleem Ullah Shahid; Shahida Hasnain
Journal:  Lipids Health Dis       Date:  2018-07-18       Impact factor: 3.876

6.  Correlation of Subcutaneous Fat Measured on Ultrasound with Body Mass Index.

Authors:  Baby Nadeem; Raham Bacha; Syed Amir Gilani
Journal:  J Med Ultrasound       Date:  2018-12-14
  6 in total

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