scholarly journals The single nucleotide polymorphism rs743572 of CYP17A1 shows significant association with polycystic ovary syndrome:a meta-analysis

2021 ◽  
Author(s):  
Xiqaio Xu ◽  
Kaiyu Hu ◽  
Hao Shi ◽  
Yiping Yu ◽  
Jiawei Xu ◽  
...  
Keyword(s):  
Single Nucleotide Polymorphism ◽  
Polycystic Ovary ◽  
Meta Analysis ◽  
Nucleotide Polymorphism ◽  
Single Nucleotide

scholarly journals Association between rs12252 and influenza susceptibility and severity: an updated meta-analysis

2018 ◽  
Vol 147 ◽  
Author(s):  
T. Chen ◽  
M. Xiao ◽  
J. Yang ◽  
Y. K. Chen ◽  
T. Bai ◽  
...  
Keyword(s):  
Single Nucleotide Polymorphism ◽  
Odds Ratio ◽  
Meta Analysis ◽  
Strong Association ◽  
Dominant Model ◽  
Healthy Individuals ◽  
Nucleotide Polymorphism ◽  
Single Nucleotide ◽  
Model C ◽  
Allelic Model

AbstractIn several lately published studies, the association between single-nucleotide polymorphism (SNP, rs12252) of IFITM3 and the risk of influenza is inconsistent. To further understand the association between the SNP of IFITM3 and the risk of influenza, we searched related studies in five databases including PubMed published earlier than 9 November 2017. Ten sets of data from nine studies were included and data were analysed by Revman 5.0 and Stata 12.0 in our updated meta-analysis, which represented 1365 patients and 5425 no-influenza controls from four different ethnicities. Here strong association between rs12252 and influenza was found in all four genetic models. The significant differences in the allelic model (C vs. T: odds ratio (OR) = 1.35, 95% confidence interval (CI) (1.03–1.79), P = 0.03) and homozygote model (CC vs. TT: OR = 10.63, 95% CI (3.39–33.33), P < 0.00001) in the Caucasian subgroup were discovered, which is very novel and striking. Also novel discoveries were found in the allelic model (C vs. T: OR = 1.37, 95% CI (1.08–1.73), P = 0.009), dominant model (CC + CT vs. TT: OR = 1.48, 95% CI (1.08–2.02), P = 0.01) and homozygote model (CC vs. TT: OR = 2.84, 95% CI (1.36–5.92), P = 0.005) when we compared patients with mild influenza with healthy individuals. Our meta-analysis suggests that single-nucleotide T to C polymorphism of IFITM3 associated with increasingly risk of severe and mild influenza in both Asian and Caucasian populations.

scholarly journals SNP rs2596542G>A in MICA is associated with risk of hepatocellular carcinoma: a meta-analysis

2019 ◽  
Vol 39 (5) ◽  
Author(s):  
Haichuan Wang ◽  
Hui Cao ◽  
Zhong Xu ◽  
Dong Wang ◽  
Yong Zeng
Keyword(s):  
Hepatocellular Carcinoma ◽  
Single Nucleotide Polymorphism ◽  
Web Of Science ◽  
Meta Analysis ◽  
Genetic Models ◽  
Complex Class ◽  
Related Gene ◽  
Nucleotide Polymorphism ◽  
Single Nucleotide ◽  
Histocompatibility Complex

Abstract The association of major histocompatibility complex class I chain-related gene A (MICA) single nucleotide polymorphism (SNP) rs2596542G>A and hepatocellular carcinoma (HCC) has been broadly studied, with inconsistent results. Therefore, we conducted the current meta-analysis to better elucidate the roles of SNP rs2596542G>A in HCC. Eligible articles were searched in PubMed, CNKI, Wanfang, Embase, VIP, Web of Science, and CBM databases up to November 2018. Odds ratios (ORs) and 95% CIs were applied. A total of 11 articles, including 4528 HCC patients and 16,625 control subjects, were analyzed. Results revealed that rs2596542G>A was significantly associated with HCC in the heterozygote (G/A versus A/A, P=0.006, OR = 0.854; 95% CI: 0.763–0.956); and dominant (G/G + G/A versus A/A; P=0.021; OR = 0.796; 95% CI: 0.655–0.967) genetic models. Nevertheless, we also detected significant associations between rs2596542G>A and HCV-induced HCC. Additionally, according to our analyses, SNP rs2596542G>A was not correlated with HBV-induced HCC. In conclusion, our findings suggest that MICA SNP rs2596542G>A is associated with HCC susceptibility amongst the Asian, Caucasian, and African ethnicity in certain genetic models. Specifically, MICA SNP rs2396542G>A is associated with risk of HCV-induced HCC, not HBV-induced HCC.

scholarly journals Genome-Wide Association Study Meta-Analysis of Stroke in 22 000 Individuals of African Descent Identifies Novel Associations With Stroke

Stroke ◽  
2020 ◽  
Vol 51 (8) ◽  
pp. 2454-2463
Author(s):  
Keith L. Keene ◽  
Hyacinth I. Hyacinth ◽  
Joshua C. Bis ◽  
Steven J. Kittner ◽  
Braxton D. Mitchell ◽  
...  
Keyword(s):  
Single Nucleotide Polymorphism ◽  
Meta Analysis ◽  
African Descent ◽  
Genome Wide Association ◽  
Minority Population ◽  
Genome Wide Association Studies ◽  
Nucleotide Polymorphism ◽  
Single Nucleotide ◽  
Genome Wide ◽  
A Genome

Background and Purpose: Stroke is a complex disease with multiple genetic and environmental risk factors. Blacks endure a nearly 2-fold greater risk of stroke and are 2× to 3× more likely to die from stroke than European Americans. Methods: The COMPASS (Consortium of Minority Population Genome-Wide Association Studies of Stroke) has conducted a genome-wide association meta-analysis of stroke in >22 000 individuals of African ancestry (3734 cases, 18 317 controls) from 13 cohorts. Results: In meta-analyses, we identified one single nucleotide polymorphism (rs55931441) near the HNF1A gene that reached genome-wide significance ( P =4.62×10 −8 ) and an additional 29 variants with suggestive evidence of association ( P <1×10 −6 ), representing 24 unique loci. For validation, a look-up analysis for a 100 kb region flanking the COMPASS single nucleotide polymorphism was performed in SiGN (Stroke Genetics Network) Europeans, SiGN Hispanics, and METASTROKE (Europeans). Using a stringent Bonferroni correction P value of 2.08×10 −3 (0.05/24 unique loci), we were able to validate associations at the HNF1A locus in both SiGN ( P =8.18×10 −4 ) and METASTROKE ( P =1.72×10 −3 ) European populations. Overall, 16 of 24 loci showed evidence for validation across multiple populations. Previous studies have reported associations between variants in the HNF1A gene and lipids, C-reactive protein, and risk of coronary artery disease and stroke. Suggestive associations with variants in the SFXN4 and TMEM108 genes represent potential novel ischemic stroke loci. Conclusions: These findings represent the most thorough investigation of genetic determinants of stroke in individuals of African descent, to date.

scholarly journals The correlation between methylenetetrahydrofolate reductase gene 677C > T polymorphism and fetal congenital defects: A meta-analysis

Pteridines ◽  
2020 ◽  
Vol 31 (1) ◽  
pp. 9-17
Author(s):  
Dexia Li ◽  
Enxia Wang ◽  
Xia Gao ◽  
Ping Li
Keyword(s):  
Single Nucleotide Polymorphism ◽  
Publication Bias ◽  
Methylenetetrahydrofolate Reductase ◽  
Meta Analysis ◽  
Random Effect ◽  
Congenital Defects ◽  
Nucleotide Polymorphism ◽  
Case Control Studies ◽  
Single Nucleotide ◽  
Increased Risk

AbstractObjective To investigate the correlation between the methylenetetrahydrofolate reductase (MTHFR) gene 677C> T polymorphism and fetal congenital defects.Method Original studies relevant to the MTHFR gene 677C>T single nucleotide polymorphism and fetal congenital defects were systematically searched in the electronic databases of Medline, EMBSE and China National Knowledge Infrastructure (CNKI). All relevant publications were screened for inclusion in the present work. The correlation between the MTHFR gene 677C > T single nucleotide polymorphism and the occurrence of fetal congenital defects was expressed as an odds ratio (OR) and its 95% confidence interval (95% CI). Publication bias was assessed by Begg’s funnel plot and Egger’s line regression test.Results Nineteen case-control studies were ultimately included in the present meta-analysis. The pooled results indicated that the general risk of fetal congenital defects was significantly elevated in subjects with the 677T allele of the MTHFR gene in dominant (OR=1.07,95%CI:1.03-1.12, P<0.05), homozygous (OR=1.17,95%CI:1.06-1.30, P<0.05) and recessive genetic models (OR=1.16,95%CI:1.03-1.31, P<0.05) through the random effect method. However, significant publication bias was identified upon pooling the individual data and evaluating the correlation.Conclusion According to the present evidence, the MTHFR gene 677C>T single nucleotide polymorphism is correlated with poor pregnancy outcomes, and subjects with the T allele have an increased risk of developing general fetal congenital defects.

T3111C CLOCK SINGLE NUCLEOTIDE POLYMORPHISM AND MOOD DISORDERS: A META-ANALYSIS

2010 ◽  
Vol 27 (4) ◽  
pp. 706-721 ◽  
Author(s):  
Raffaella Calati ◽  
Enrique Gaspar-Barba ◽  
Adina Yukler ◽  
Alessandro Serretti
Keyword(s):  
Single Nucleotide Polymorphism ◽  
Mood Disorders ◽  
Meta Analysis ◽  
Nucleotide Polymorphism ◽  
Single Nucleotide

scholarly journals Single-nucleotide polymorphism associations with preterm delivery: a case–control replication study and meta-analysis

2013 ◽  
Vol 74 (4) ◽  
pp. 433-438 ◽  
Author(s):  
Michael E. O’Callaghan ◽  
Alastair H. MacLennan ◽  
Gai L. McMichael ◽  
Eric A. Haan ◽  
Gustaaf A. Dekker
Keyword(s):  
Single Nucleotide Polymorphism ◽  
Preterm Delivery ◽  
Meta Analysis ◽  
Case Control ◽  
Replication Study ◽  
Nucleotide Polymorphism ◽  
Single Nucleotide
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