scholarly journals Commentary: systematic review and meta-analysis of genetic association studies of pelvic organ prolapse

2021 ◽  
Author(s):  
Mittal Patel
Keyword(s):  
Systematic Review ◽  
Pelvic Organ Prolapse ◽  
Genetic Association ◽  
Association Studies ◽  
Meta Analysis ◽  
Genetic Association Studies ◽  
Pelvic Organ

scholarly journals Systematic review and meta-analysis of genetic association studies of pelvic organ prolapse

2021 ◽  
Author(s):  
Kristina Allen-Brady ◽  
John W. F. Chua ◽  
Romana Cuffolo ◽  
Marianne Koch ◽  
Felice Sorrentino ◽  
...  
Keyword(s):  
Systematic Review ◽  
Pelvic Organ Prolapse ◽  
Association Studies ◽  
Data Extraction ◽  
Meta Analysis ◽  
Twin Studies ◽  
Genetic Association Studies ◽  
Pelvic Organ ◽  
Genome Wide Association Studies ◽  
Meta Analyses

Abstract Introduction and hypothesis Family and twin studies demonstrate that pelvic organ prolapse (POP) is heritable, but the genetic etiology is poorly understood. This review aimed to identify genetic loci and specific polymorphisms associated with POP, while assessing the strength, consistency, and risk of bias among reported associations. Methods Updating an earlier systematic review, PubMed and HuGE Navigator as well as relevant conference abstracts were searched using genetic and phenotype keywords from 2015 to 2020. Screening and data extraction were performed in duplicate. Fixed and random effects meta-analyses were conducted using co-dominant models of inheritance. We assessed credibility of pooled associations using interim Venice criteria. Results We screened 504 new abstracts and included 46 published and 7 unpublished studies. In pooled analyses we found significant associations for four polymorphisms: rs2228480 at the ESR1 gene (OR 0.67 95% CI 0.46–0.98, I2 = 0.0%, Venice rating BAB), rs12589592 at the FBLN5 gene (OR 1.46 95% CI 1.11–1.82, I2 = 36.3%, Venice rating BBB), rs484389 in the PGR gene (OR 0.61 95% CI 0.39–0.96, I2 = 32.4%, Venice rating CBB), and rs1800012 at the COL1A1 gene (OR 0.80 95% CI 0.66–0.96, I2 = 0.0%, Venice rating BAB). Further credible novel variants have also been recently identified in genome-wide association studies. Conclusion The genetic contributions to POP remain poorly understood. Several biologically plausible variants have been identified, but much work is required to establish the role of these genes in the pathogenesis of POP or to establish a role for genetic testing in clinical practice.

scholarly journals A systematic review and meta-analysis of genetic association studies for the role of inflammation and the immune system in diabetic nephropathy

2017 ◽  
Vol 10 (3) ◽  
pp. 293-300 ◽  
Author(s):  
Maria Tziastoudi ◽  
Ioannis Stefanidis ◽  
Georgios M. Hadjigeorgiou ◽  
Konstantinos Stravodimos ◽  
Elias Zintzaras
Keyword(s):  
Systematic Review ◽  
Diabetic Nephropathy ◽  
Immune System ◽  
Genetic Association ◽  
Association Studies ◽  
Meta Analysis ◽  
Genetic Association Studies

scholarly journals The genetic map of diabetic nephropathy: evidence from a systematic review and meta-analysis of genetic association studies

2020 ◽  
Vol 13 (5) ◽  
pp. 768-781
Author(s):  
Maria Tziastoudi ◽  
Ioannis Stefanidis ◽  
Elias Zintzaras
Keyword(s):  
Systematic Review ◽  
Diabetic Nephropathy ◽  
Genetic Association ◽  
Pathway Analysis ◽  
Methylenetetrahydrofolate Reductase ◽  
Association Studies ◽  
Meta Analysis ◽  
Genetic Association Studies ◽  
Sirtuin 1 ◽  
Genotype Distribution

Abstract Despite the extensive efforts of scientists, the genetic background of diabetic nephropathy (DN) has not yet been clarified. To elucidate the genetic variants that predispose to the development of DN, we conducted a systematic review and meta-analysis of all available genetic association studies (GAS) of DN. We searched in the Human Genome Epidemiology Navigator (HuGE Navigator) and PubMed for available GAS of DN. The threshold for meta-analysis was three studies per genetic variant. The association between genotype distribution and DN was examined using the generalized linear odds ratio (ORG). For variants with available allele frequencies, the examined model was the allele contrast. The pooled OR was estimated using the DerSimonian and Laird random effects model. The publication bias was assessed with Egger’s test. We performed pathway analysis of significant genes with DAVID 6.7. Genetic data of 606 variants located in 228 genes were retrieved from 360 GASs and were synthesized with meta-analytic methods. ACACB, angiotensin I-converting enzyme (ACE), ADIPOQ, AGT, AGTR1, AKR1B1, APOC1, APOE, ATP1B2, ATP2A3, CARS, CCR5, CGNL1, Carnosine dipeptidase 1 (CNDP1), CYGB-PRCD, EDN1, Engulfment and cell motility 1 (ELMO1), ENPP1, EPO, FLT4, FTO, GLO1, HMGA2, IGF2/INS/TH cluster, interleukin 1B (IL1B), IL8, IL10, KCNQ1, KNG, LOC101927627, Methylenetetrahydrofolate reductase, nitric oxide synthase 3 (NOS3), SET domain containing seven, histone lysine methyltransferase (SETD7), Sirtuin 1 (SIRT1), SLC2A1, SLC2A2, SLC12A3, SLC19A3, TCF7L2, TGFB1, TIMP1, TTC39C, UNC13B, VEGFA, WTAPP1, WWC1 as well as XYLT1 and three intergenic polymorphisms showed significant association with DN. Pathway analysis revealed the overrepresentation of six signalling pathways. The significant findings provide further evidence for genetic factors implication in DN offering new perspectives in discovery of new therapies.

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