PPARG Pro12Ala Polymorphism with CKD in Asians: A Meta-Analysis Combined with a Case-Control Study—A Key for Reaching Null Association

Background: So far, numerous meta-analyses have been published regarding the correlation between peroxisome proliferator-activated receptor gamma (PPARG) proline 12 alanine (Pro12Ala) gene polymorphism and chronic kidney disease (CKD); however, the results appear to be contradictory. Hence, this study is formulated with the objective of using existing meta-analysis data together with our research population to study the correlation between PPARG Pro12Ala gene polymorphism and CKD and evaluate whether an accurate result can be obtained. Methods: First, literature related to CKD and PPARG Pro12Ala available on the PubMed and EMBASE databases up to December 2016 was gathered from 20 publications. Then, the gathered results were combined with our case-control study of 1693 enrolled subjects and a trial sequential analysis (TSA) was performed to verify existing evidence and determine whether a firm conclusion can be drawn. Results: The TSA results showed that the cumulative sample size for the Asian sample was 6078 and was sufficient to support a definite result. The results of this study confirmed that there is no obvious correlation between PPARG Pro12Ala and CKD for Asians (OR = 0.82 (95% CI = 0.66–1.02), I2 = 63.1%), but this was not confirmed for Caucasians. Furthermore, the case-control sample in our study was shown to be the key for reaching this conclusion. Conclusions: The meta-analysis results of this study suggest no significant correlation between PPARG Pro12Ala gene polymorphism and CKD for Asians after adding our samples, but not for Caucasian.

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TNF-α-308A>G and IL-10-819C>T polymorphisms as risk factors for cervical cancer: A case-control study, meta-analysis and trial sequential analysis

Meta Gene ◽

10.1016/j.mgene.2021.100943 ◽

2021 ◽

pp. 100943

Author(s):

EdilsonLeite de Moura ◽

Denise Macedo da Silva ◽

Ana CarolineMelo dos Santos ◽

Adriely Ferreira da Silva ◽

Abel Barbosa Lira Neto ◽

...

Keyword(s):

Risk Factors ◽

Cervical Cancer ◽

Sequential Analysis ◽

Case Control Study ◽

Meta Analysis ◽

Case Control ◽

Trial Sequential Analysis ◽

Tnf Α ◽

Control Study

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Association of rs1801133 polymorphism with migraine susceptibility: A case-control study followed by updated meta-analysis and trial sequential analysis

Gene Reports ◽

10.1016/j.genrep.2020.100881 ◽

2020 ◽

Vol 21 ◽

pp. 100881

Author(s):

P.S. Aiswarya ◽

R.S. Akram Husain ◽

Pallavi Kesavan ◽

K. Subramaniyan ◽

Shiek S.S.J. Ahmed ◽

...

Keyword(s):

Sequential Analysis ◽

Case Control Study ◽

Meta Analysis ◽

Case Control ◽

Trial Sequential Analysis ◽

Control Study

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Is MTHFR 677 C>T Polymorphism Clinically Important in Polycystic Ovarian Syndrome (PCOS)? A Case-Control Study, Meta-Analysis and Trial Sequential Analysis

PLoS ONE ◽

10.1371/journal.pone.0151510 ◽

2016 ◽

Vol 11 (3) ◽

pp. e0151510 ◽

Cited By ~ 12

Author(s):

S. Justin Carlus ◽

Saumya Sarkar ◽

Sandeep Kumar Bansal ◽

Vertika Singh ◽

Kiran Singh ◽

...

Keyword(s):

Sequential Analysis ◽

Polycystic Ovarian Syndrome ◽

Case Control Study ◽

Meta Analysis ◽

Case Control ◽

Trial Sequential Analysis ◽

Ovarian Syndrome ◽

Control Study

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The Decisive Case-Control Study Elaborates the Null Association between ESR1 XbaI and Osteoarthritis in Asians: A Case–Control Study and Meta-Analysis

Genes ◽

10.3390/genes12030404 ◽

2021 ◽

Vol 12 (3) ◽

pp. 404

Author(s):

Yu-Hao Huang ◽

Wen-Hui Fang ◽

Dung-Jang Tsai ◽

Yu-Hsuan Chen ◽

Yu-Chiao Wang ◽

...

Keyword(s):

Estrogen Receptor ◽

Gender Difference ◽

Sequential Analysis ◽

Case Control Study ◽

Meta Analysis ◽

Case Control ◽

Current Evidence ◽

Trial Sequential Analysis ◽

Knee Oa ◽

Control Study

(1) Background: The prevalence of knee osteoarthritis (OA) in women is significantly higher than in men. The estrogen receptor α (ERα) has been considered to play a key role due to a large gender difference in its expression. ERα is encoded by the gene estrogen receptor 1 (ESR1), which is widely studied to explore the gender difference in knee OA. Several polymorphisms in ESR1 [PvuII (rs2234693) and BtgI (rs2228480)] were confirmed as the risk factors of OA. However, the evidence of the last widely investigated polymorphism, ESR1 Xbal (rs9340799), is still insufficient for concluding its effect on knee OA. (2) Objective: This study proposed a case–control study to investigate the association between ESR1 Xbal and knee OA. Moreover, a meta-analysis and trial sequential analysis (TSA) were conducted to enlarge the sample size for obtaining a conclusive evidence. (3) Methods: In total, 497 knee OA cases and 473 healthy controls were recruited between March 2015 and July 2018. The Kellgren–Lawrence grading system was used to identify the knee OA cases. To improve the evidence level of our study, we conducted a meta-analysis including the related studies published up until December 2018 from PubMed, Embase, and previous meta-analysis. The results are expressed as odds ratios (ORs) with corresponding 95% confidence intervals (CI) for evaluating the effect of this polymorphism on knee OA risk. TSA was used to estimate the sample sizes required in this issue. (4) Results: We found non-significant association between the G allele and knee OA [Crude-OR: 0.97 (95% CI: 0.78–1.20) and adjusted-OR: 0.90 (95% CI: 0.71–1.15) in allele model] in the present case–control study, and the analysis of other genetic models showed a similar trend. After including six published studies and our case–control studies, the current evidence with 3174 Asians showed the conclusively null association between ESR1 XbaI and knee OA [OR: 0.78 (95% CI: 0.59–1.04)] with a high heterogeneity (I2: 78%). The result of Caucasians also concluded the null association [OR: 1.05 (95% CI: 0.56–1.95), I2: 87%]. (5) Conclusions: The association between ESR1 XbaI and knee OA was not similar with other polymorphisms in ESR1, which is not a causal relationship. This study integrated all current evidence to elaborate this conclusion for suggesting no necessity of future studies.

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Lack of association between IGF2BP2 rs4402960 polymorphism and gestational diabetes mellitus: a case–control study, meta-analysis and trial sequential analysis

Bioscience Reports ◽

10.1042/bsr20200990 ◽

2020 ◽

Vol 40 (7) ◽

Cited By ~ 1

Author(s):

Jing Liu ◽

Guang Song ◽

Ge Zhao ◽

Tao Meng

Keyword(s):

Diabetes Mellitus ◽

Gestational Diabetes ◽

Gestational Diabetes Mellitus ◽

Sequential Analysis ◽

Case Control Study ◽

Meta Analysis ◽

Case Control ◽

Genetic Models ◽

Trial Sequential Analysis ◽

Control Study

Abstract Background: It is well known that insulin-like growth factor 2 mRNA-binding protein 2 (IGF2BP2) rs4402960 polymorphism is associated with Type 2 diabetes mellitus, which has a shared genetic background with gestational diabetes mellitus (GDM). Previous studies have yielded controversial results about the link between IGF2BP2 rs4402960 polymorphism and GDM risk. Thus, a meta-analysis was performed to obtain more conclusive results. Methods: Clinical and genotype data were determined for 305 GDM and 1216 healthy participants recruited. Eligible studies were retrieved in PubMed, Web of science, EMBASE, and Scopus. Odds ratios (ORs) with 95% confidence intervals (CIs) were utilized to evaluate the relationship between IGF2BP2 polymorphisms and GDM susceptibility in five genetic models. The subgroup stratified analysis and trial sequential analysis (TSA) were performed. Results: In this case–control study, no significant association was revealed between IGF2BP2 polymorphism and GDM (P>0.05). When combined with the previous studies in the meta-analysis, there was no statistical association between IGF2BP2 polymorphism and GDM (allele model: OR = 1.01, 95% CI = 0.86–1.18; dominant model: OR = 1.00, 95% CI = 0.81–1.24; recessive model: OR = 1.08, 95% CI = 0.91–1.29; heterozygous model: OR = 0.99, 95% CI = 0.80–1.24; homozygous model: OR = 1.06, 95% CI = 0.78–1.42). No association was observed in five genetic models in each subgroup. TSA indicated sufficient proof of such null association in the overall population. Conclusions: This meta-analysis provides sufficient statistical evidence indicating null association between IGF2BP2 rs4402960 polymorphism and GDM risk.

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