Association of <i>PPAR</i>‐γ gene polymorphisms with obesity and obesity‐associated phenotypes in north indian population

Prakash, Jai; Srivastava, Neena; Awasthi, Sanjay; Agarwal, C. G.; Natu, S.M.; Rajpal, Naresh; Mittal, Balraj

doi:10.1002/ajhb.22245

Cited by 37 publications

(28 citation statements)

References 65 publications

(72 reference statements)

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“…5 Meanwhile, the Han Chinese from other countries portrayed similar MAF with us, for example the MAF of .25 in Taiwan 29 and .21 in Beijing 30 populations. Similar with our study, this SNP was previously found to have no significant association with obesity [28][29][30][31][32][33][34][35] and Met-S 5,28-30,36 in various populations, while others found positive association with obesity 37,38 and Met-S. 39,40 As with PPARα L162V, this SNP was …”

Section: Discussionsupporting

confidence: 79%

Screening of Peroxisome Proliferator-activated Receptors (PPARs) α, γ and δ Gene Polymorphisms for Obesity and Metabolic Syndrome Association in the Multi-ethnic Malaysian Population

Chia¹,

Fan²,

Say

2015

Ethn Dis

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Objective: This study aimed to investigate the association of peroxisome proliferatoractivated receptor (PPAR) genes PPARα L162V, PPARγ2 C161T and PPARδ T294C single nucleotide polymorphisms (SNPs) with obesity and metabolic syndrome (Met-S) in a multi-ethnic population in Kampar, Malaysia.Methods: Socio-demographic data, anthropometric and biochemical measurements (plasma lipid profile, adiponectin and interleukin-6 [IL-6] levels) were taken from 307 participants (124 males; 180 obese; 249 Met-S; 97 Malays, 85 ethnic Chinese, 55 ethnic Indians). Results:The overall minor allele frequencies were .08, .22 and .30 for PPAR α L162V, γ C161T, δ T294C, respectively. All SNPs were not associated with obesity, Met-S and obesity with/without Met-S by χ 2 analysis, ethnicity-stratified and logistic regression analyses. Nevertheless, participants with V162 allele of PPARα had significantly higher IL-6, while those with T161 allele of PPARγ2 had significantly lower HOMA-IR. Conclusions

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Section: Discussionsupporting

confidence: 79%

Screening of Peroxisome Proliferator-activated Receptors (PPARs) α, γ and δ Gene Polymorphisms for Obesity and Metabolic Syndrome Association in the Multi-ethnic Malaysian Population

Chia¹,

Fan²,

Say

2015

Ethn Dis

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“…The association between adiponectin concentration and this particular SNP has been reported in a previous study [15]. Moreover, some observational studies have verified the effect of the relationship between the PPARγ Pro12Ala polymorphism and unsaturated fatty acid intake on BMI and WC [7,9].…”

Section: Discussionmentioning

confidence: 97%

“…Treatment with PPARγ agonist drugs, such as thiazolidinediones, causes a two- to threefold increase in the plasma level of adiponectin, along with an improvement in insulin sensitivity in diabetic or insulin-resistant subjects [13,14]. A previous study reported lower values of adiponectin to be associated with the Ala allele of the Pro12Ala polymorphism [15]. …”

Section: Introductionmentioning

confidence: 99%

Docosahexaenoic Acid-Rich Fish Oil Supplementation Improves Body Composition without Influence of the PPARγ Pro12Ala Polymorphism in Patients with Type 2 Diabetes: A Randomized, Double-Blind, Placebo-Controlled Clinical Trial

et al. 2015

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Background: The aims of this research were to investigate (1) the impact of docosahexaenoic acid (DHA)-rich fish oil supplementation on body composition, plasma adiponectin level, and peroxisome proliferator-activated receptor γ (PPARγ) gene expression, and (2) whether the effect of DHA-rich fish oil supplementation on the aforementioned variables is modulated by PPARγ Pro12Ala polymorphism. Methods: We genotyped PPARγ Pro12Ala polymorphism in subjects with type 2 diabetes mellitus (T2DM). Ala carriers and non-Ala carriers were randomly assigned to DHA-rich fish oil or placebo intake for 8 weeks. Results: Glycemic control was not affected by the intervention. The supplementation with DHA-rich fish oil decreased waist circumference (p < 0.001), body fat mass (p = 0.01), body fat percent (p = 0.04), and visceral fat rating (p = 0.02) as well as trunk fat mass (p = 0.04). Weight, body mass index, fat-free mass, adiponectin level, and PPARγ gene expression changes showed no significant difference. No gene-diet interaction was found on body composition, adiponectin level, and PPARγ gene expression. Conclusions: DHA-rich fish oil supplementation favorably modulated body composition in patients with T2DM and could be useful to reduce visceral obesity. However, the PPARγ Pro12Ala polymorphism did not influence the changes in the desired variables.

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“…29,33 The absence of replication may be associated with lower coverage of genetic markers in the replication samples as well as different sample sizes. 13 In this vein, our study comes with limitations owing to the small number of participants studied.…”

Section: Pparg-lyplal1 Association With Obesity and Overweight -Hernámentioning

confidence: 99%

PPARG-LYPLAL1 Multi-Allelic Combination Associated with Obesity and Overweight in Mexican Adolescent Females

et al. 2016

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Objective: We studied multi-loci variants to identify the contribution of six candidate genes (ADIPOQ, CDH13, LYPLAL1, MC4R, PPARG and PGC1A) in the development of obesity and overweight. Design:We genotyped 404 chromosomes with eleven SNPs in Mexican female adolescents, who were subdivided into two groups (obesity-overweight and normal-weight) using the World Health Organization parameters. Genomic (800 chromosomes) and ancestral (208 chromosomes) controls were included to reduce the population bias. Anthropometric measurements, biochemical parameters, and caloric intake were obtained only in the groups of Mexican female adolescents. Results:A positive genotype-phenotype association was found that involves the multi-allelic combination of three risk alleles (one in PPARG and two in LYPLAL1) with obesity and overweight (OR=3.1, P=.010). This combination also exhibited a significant association with waist circumference (P=.030) and triglycerides levels (P=.030). These associations were supported by a logistic regression analysis adjusted for several confounding variables. Conclusions:Our data suggest the joint participation of PPARG-LYPLAL1 genes in metabolic disorders development. Hence, these genes could act as potential biomarkers in obesity and overweight. Our findings underscore the complexity of metabolic disorders and provide evidence about the importance of multi-loci analysis to study complex diseases. Ethn Dis.

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Association of PPAR‐γ gene polymorphisms with obesity and obesity‐associated phenotypes in north indian population

Abstract: PPAR-γ gene polymorphisms influence obesity and obesity phenotype in a complex manner, probably involving insulin resistance in north Indian population.

Cited by 37 publications

References 65 publications

Screening of Peroxisome Proliferator-activated Receptors (PPARs) α, γ and δ Gene Polymorphisms for Obesity and Metabolic Syndrome Association in the Multi-ethnic Malaysian Population

Screening of Peroxisome Proliferator-activated Receptors (PPARs) α, γ and δ Gene Polymorphisms for Obesity and Metabolic Syndrome Association in the Multi-ethnic Malaysian Population

Docosahexaenoic Acid-Rich Fish Oil Supplementation Improves Body Composition without Influence of the PPARγ Pro12Ala Polymorphism in Patients with Type 2 Diabetes: A Randomized, Double-Blind, Placebo-Controlled Clinical Trial

PPARG-LYPLAL1 Multi-Allelic Combination Associated with Obesity and Overweight in Mexican Adolescent Females

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Association of PPAR‐γ gene polymorphisms with obesity and obesity‐associated phenotypes in north indian population

Abstract: PPAR-γ gene polymorphisms influence obesity and obesity phenotype in a complex manner, probably involving insulin resistance in north Indian population.

Cited by 37 publications

References 65 publications

Screening of Peroxisome Proliferator-activated Receptors (PPARs) α, γ and δ Gene Polymorphisms for Obesity and Metabolic Syndrome Association in the Multi-ethnic Malaysian Population

Screening of Peroxisome Proliferator-activated Receptors (PPARs) α, γ and δ Gene Polymorphisms for Obesity and Metabolic Syndrome Association in the Multi-ethnic Malaysian Population

Docosahexaenoic Acid-Rich Fish Oil Supplementation Improves Body Composition without Influence of the PPAR&#947; Pro12Ala Polymorphism in Patients with Type 2 Diabetes: A Randomized, Double-Blind, Placebo-Controlled Clinical Trial

PPARG-LYPLAL1 Multi-Allelic Combination Associated with Obesity and Overweight in Mexican Adolescent Females

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Docosahexaenoic Acid-Rich Fish Oil Supplementation Improves Body Composition without Influence of the PPARγ Pro12Ala Polymorphism in Patients with Type 2 Diabetes: A Randomized, Double-Blind, Placebo-Controlled Clinical Trial