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 Association Study of the M132L Single Nucleotide Polymorphism With Susceptibility to Chronic Wasting Disease in Korean Elk: A Meta-Analysis

2022 ◽  
Vol 8 ◽  
Author(s):  
In-Soon Roh ◽  
Yong-Chan Kim ◽  
Sae-Young Won ◽  
Kyung-Je Park ◽  
Hoo-Chang Park ◽  
...  
Keyword(s):  
Single Nucleotide Polymorphism ◽  
Prion Protein ◽  
Association Analysis ◽  
Chronic Wasting Disease ◽  
Meta Analysis ◽  
Strong Association ◽  
Amplicon Sequencing ◽  
Nucleotide Polymorphism ◽  
Wasting Disease ◽  
Single Nucleotide

Chronic wasting disease (CWD) is a deleterious brain proteinopathy caused by a pathogenic form of prion protein (PrPSc), which is converted from a benign form of prion protein (PrPC) encoded by the prion protein gene (PRNP). In elk, the M132L single nucleotide polymorphism (SNP) of the PRNP gene likely plays a pivotal role in susceptibility to CWD. However, the association of the M132L SNP with susceptibility to CWD has not been evaluated in Korean elk to date. To estimate the association of the M132L SNP with susceptibility to CWD in Korean elk, we investigated the genotype and allele frequencies of the M132L SNP by amplicon sequencing and performed association analysis between CWD-positive and CWD-negative elk. In addition, we performed a meta-analysis to evaluate the association between the M132L SNP and susceptibility to CWD in quantitatively synthesized elk populations. Furthermore, we estimated the effect of the M132L SNP on elk PrP using in silico programs, including PolyPhen-2, PROVEAN, AMYCO and Swiss-PdbViewer. We did not identify a significant association between the M132L SNP of PRNP and susceptibility to CWD in Korean elk. The meta-analysis also did not identify a strong association between the M132L SNP of PRNP and susceptibility to CWD in quantitatively synthesized elk populations. Furthermore, we did not observe significant changes in structure, amyloid propensity or electrostatic potential based on the M132L SNP in elk PrP. To the best of our knowledge, this was the first report of an association analysis and meta-analysis in Korean elk and quantitatively synthesized elk populations, respectively.

Cluster headache and the hypocretin receptor 2 reconsidered: A genetic association study and meta-analysis

Cephalalgia ◽  
2014 ◽  
Vol 35 (9) ◽  
pp. 741-747 ◽  
Author(s):  
Claudia M Weller ◽  
Leopoldine A Wilbrink ◽  
Jeanine J Houwing-Duistermaat ◽  
Stephany C Koelewijn ◽  
Lisanne S Vijfhuizen ◽  
...  
Keyword(s):  
Single Nucleotide Polymorphism ◽  
Cluster Headache ◽  
Confidence Intervals ◽  
Genetic Association ◽  
Odds Ratio ◽  
Meta Analysis ◽  
Random Effect ◽  
Nucleotide Polymorphism ◽  
Single Nucleotide ◽  
Study Population

Background Cluster headache is a severe neurological disorder with a complex genetic background. A missense single nucleotide polymorphism (rs2653349; p.Ile308Val) in the HCRTR2 gene that encodes the hypocretin receptor 2 is the only genetic factor that is reported to be associated with cluster headache in different studies. However, as there are conflicting results between studies, we re-evaluated its role in cluster headache. Methods We performed a genetic association analysis for rs2653349 in our large Leiden University Cluster headache Analysis (LUCA) program study population. Systematic selection of the literature yielded three additional studies comprising five study populations, which were included in our meta-analysis. Data were extracted according to predefined criteria. Results A total of 575 cluster headache patients from our LUCA study and 874 controls were genotyped for HCRTR2 SNP rs2653349 but no significant association with cluster headache was found (odds ratio 0.91 (95% confidence intervals 0.75–1.10), p = 0.319). In contrast, the meta-analysis that included in total 1167 cluster headache cases and 1618 controls from the six study populations, which were part of four different studies, showed association of the single nucleotide polymorphism with cluster headache (random effect odds ratio 0.69 (95% confidence intervals 0.53–0.90), p = 0.006). The association became weaker, as the odds ratio increased to 0.80, when the meta-analysis was repeated without the initial single South European study with the largest effect size. Conclusions Although we did not find evidence for association of rs2653349 in our LUCA study, which is the largest investigated study population thus far, our meta-analysis provides genetic evidence for a role of HCRTR2 in cluster headache. Regardless, we feel that the association should be interpreted with caution as meta-analyses with individual populations that have limited power have diminished validity.

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
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