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.

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 The First Meta-Analysis of the M129V Single-Nucleotide Polymorphism (SNP) of the Prion Protein Gene (PRNP) with Sporadic Creutzfeldt–Jakob Disease

Cells ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 3132
Author(s):  
Yong-Chan Kim ◽  
Byung-Hoon Jeong
Keyword(s):  
Prion Protein ◽  
Protein Gene ◽  
Meta Analysis ◽  
Prnp Gene ◽  
Case Control ◽  
Prion Protein Gene ◽  
Nucleotide Polymorphism ◽  
Single Nucleotide ◽  
Jakob Disease ◽  
Sporadic Cjd

Prion diseases are fatal, chronic, and incurable neurodegenerative diseases caused by pathogenic forms of prion protein (PrPSc) derived from endogenous forms of prion protein (PrPC). Several case–control and genome-wide association studies have reported that the M129V polymorphism of the human prion protein gene (PRNP) is significantly associated with susceptibility to sporadic Creutzfeldt–Jakob disease (CJD). However, since some case–control studies have not shown these associations, the results remain controversial. We collected data that contain the genotype and allele frequencies of the M129V single-nucleotide polymorphism (SNP) of the PRNP gene and information on ethnic backgrounds from sporadic CJD patients. We performed a meta-analysis by collecting data from eligible studies to evaluate the association between the M129V SNP of the PRNP gene and susceptibility to sporadic CJD. We found a very strong association between the M129V SNP of the PRNP gene and susceptibility to sporadic CJD using a meta-analysis for the first time. We validated the eligibility of existing reports and found severe heterogeneity in some previous studies. We also found that the MM homozygote is a potent risk factor for sporadic CJD compared to the MV heterozygote in the heterozygote comparison model (MM vs. MV, odds ratio = 4.9611, 95% confidence interval: 3.4785; 7.0758, p < 1 × 10−10). To the best of our knowledge, this was the first meta-analysis assessment of the relationship between the M129V SNP of the PRNP gene and susceptibility to sporadic CJD.

Simultaneous determination of Mycobacterium leprae drug resistance and single nucleotide polymorphism genotype using nested multiplex PCR with amplicon sequencing

2021 ◽  
Author(s):  
Yasuhisa Iwao ◽  
Shuichi Mori ◽  
Manabu Ato ◽  
Noboru Nakata
Keyword(s):  
Drug Resistance ◽  
Single Nucleotide Polymorphism ◽  
Multiplex Pcr ◽  
Simultaneous Determination ◽  
Mycobacterium Leprae ◽  
Amplicon Sequencing ◽  
Clinical Samples ◽  
Nucleotide Polymorphism ◽  
Single Nucleotide

Mycobacterium leprae is the predominant cause of leprosy worldwide, and its genotypes can be classified into four single nucleotide polymorphism (SNP) types and 16 subtypes. Determining M. leprae drug resistance and genotype is typically done by PCR and Sanger DNA sequencing, which require substantial effort. Here we describe a rapid method involving multiplex PCR in combination with nested amplification and next generation sequence analysis that allows simultaneous determination of M. leprae drug resistance and SNP genotype directly from clinical specimens. We used this method to analyze clinical samples from two paucibacillary, nine multibacillary, and six type-undetermined leprosy patients. Regions in folP1 , rpoB , gyrA , and gyrB that determine drug resistance and those for 84 SNP-InDels in the M. leprae genome were amplified from clinical samples and their sequences were determined. The results showed that seven samples were subtype 1A, three were 1D, and seven were 3K. Three samples of the subtype 3K had folp1 mutation. The method may allow more rapid genetic analyses of M. leprae in clinical samples.

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.

Sign in / Sign up

Export Citation Format

Share Document