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Updated: Nov 5, 2025

Sample Preparation to Bioinformatics Analysis of DNA Methylation: Association Strategy for Obesity and Related Trait Studies
Published on: May 6, 2022
[Meta-analysis of the association between PPARγ2 gene Pro12Ala polymorphism and obesity in Chinese population]
Meiyan Li1, Yongzhi Wang1, Alimu Ayiguli1
1School of Public Health, XinJiang Medical University, Urumqi 830011, China.
Objective:
To explore the relationship between the peroxisome proliferator-activated receptor γ(PPARγ) 2 gene Pro12 Ala polymorphism and the risk of obesity in the Chinese population.
Methods:
Take "peroxisome proliferator activated receptor gamma2", "PPAR gamma2", "pparg2", "peroxisome proliferator-activated receptor gamma2", "obesity", "Pro12 Ala", "gene polymorphism", "Chinese" as searchable words, Chinese people were selected as study subjects from Chinese databases such as CNKI, Wanfang Database, VIP and foreign language databases such as PubMed, Embase, Cochrane Library and Web of Science, which were published from the establishment of the database until December 31, 2019. RevMan 5. 3 software was used for Meta-analysis of the literature with literature score ≥ 5 points.
Results:
A total of 12 articles were included, including 2233 cases and 1795 healthy controls. Meta-analysis showed that:(1) Dominant gene model: the risk of obesity for those carrying Ala/Ala+Pro/Ala was 1. 86 times that of those carrying Pro/Pro(OR=1. 86, 95%CI 1. 07-3. 21). (2) Additive gene model: the risk of obesity for those carrying Pro/Ala was 1. 79 times that of those carrying Pro/Pro(OR=1. 79, 95% CI 1. 04-3. 08). (3) Allelic model: the risk of obesity in those carrying the allele Ala was 1. 75 times that of those carrying the allele Pro(OR=1. 75, 95% CI 1. 11-2. 78). The subgroup analysis of different regions showed that the combined OR(95% CI) values of the dominant gene model, additive gene model and allelic model in the southern region were 1. 96(1. 12-3. 42), 2. 02(1. 14-3. 56) and 1. 79(1. 06-3. 03), the combined OR(95% CI) values of the dominant gene model, additive gene model and allele model in the northern region were 1. 89(0. 90-3. 97), 1. 77(0. 85-3. 67) and 1. 80(0. 97-3. 36).
Conclusion:
The polymorphic allele Ala or genotype Ala/Ala or Pro/Ala of PPARγ2 gene may increase the risk of obesity in Chinese population. The correlation between the PPARγ2 gene Pro12 Ala polymorphism and the risk of obesity in the southern population is more obvious.
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