ObjectiveTo investigate the relationship between the gene polymorphism of autophagy-related gene 3 (ATG3) and the development and clinical symptoms of tuberculosis in tuberculosis patients in western China.MethodsAccording to the inclusion and exclusion criteria, 476 tuberculosis patients (tuberculosis group) who were admitted to West China Hospital of Sichuan University from December 2014 to November 2015 and 475 healthy controls (healthy control group) who underwent health examination during the same period were finally included. High-throughput genotyping technology was used to detect genotypes of three single nucleotide polymorphisms (SNPs) (rs2638029, rs2638037, rs3732817) of ATG3 gene, and relevant clinical data of subjects were collected. The relationship between gene polymorphism and susceptibility to tuberculosis and clinical symptoms was analyzed by statistical methods such as χ2 test and logistic regression model.ResultsExcept for GA genotype [odds ratio (OR) =1.375, 95% confidence interval (CI) (1.048, 1.805), P=0.022] and dominant genetic model GG+GA [OR=1.326, 95%CI (1.024, 1.717), P=0.032] in rs2638037, there was no statistically significant difference in the allele frequency, genotype and genetic patterns of rs2638029, rs3732817 and rs2638037 between the two groups (P>0.05), after the adjustment of the gender and age. But after correction by Bonferroni, GA genotype and dominant genetic patterns GG+GA showed no statistical significance between the two groups (P=0.132, 0.201). Haplotype CGA was associated with tuberculosis susceptibility [OR=1.262, 95%CI (1.001,1.593), P=0.048]. There was a statistically significant difference in weight loss symptoms among rs2638037 genotypes (χ2=8.131, P=0.017).ConclusionsThe haplotype CGA of three SNPs of ATG3 gene may be involved in the development of tuberculosis. The rs2638037 single nucleotide polymorphism may be related to weight loss, and more research is needed in the future.
Objective To explore the correlation between the single nucleotide polymorphism (SNP) in the promotor of hepatic l ipase (HL) gene and untraumatic avascular necrosis of the femoral head (ANFH). Methods Between January 2007 and June 2009, 243 patients with ANFH were treated (case group), including 143 cases of steroid-induced, 79 cases of alchol-induced, and 21 cases of idiopathic. There were 156 males and 87 females with an age ranged from 16 to 64 years. Atotal of 96 normal individuals (matched for age, sex, and nation) served as control group. The blood sample of all subjects were collected to extract DNA. The promotor of HL was sequenced to find the SNP. A statistic on the frequencies of the genotype and the allele of the SNP was made. The frequencies of the genotype and the allele were analyzed with χ2 test according to case-control principle. Results The rs59644784 and rs1800588 were found in the sequenced region. It was accorded with Hardy-Weinbery genetic equil ibrium law in rs59644784 and rs1800588 of the control group and case group. There was no significant difference in the allele and genotype of rs59644784 and rs1800588 between the control group and case group (P gt; 0.05). The two SNPs existed complete l inkage disequil ibrium according to the l inkage disequil ibrium analysis. Conclusion The heterozygosity of the SNP is not consistency, and heterozygosity may be associated with the diversity of the race. ANFH is not associated with rs59644784 and rs1800588 SNPs.
ObjectiveTo analyze the causal relationship between SARS-CoV-2 infection and retinal vascular obstruction by mendelian randomization (MR). MethodsA two-sample MR analysis utilizing summary statistics from genome-wide association studies (GWAS) in European populations was conducted. The GWAS data for SARS-CoV-2 infection comprised cases of common infection (2 597 856), hospitalized infection (2 095 324), and severe infection (1 086 211). Data on retinal vascular obstruction were obtained from the FinnGen database, which included 203 269 cases of retinal artery obstruction and 182 945 cases of retinal vein obstruction (RVO). Inverse variance weighting (IVW), random effects models, weighted median (WM), MR-Egger regression, simple models, and weighted models were used to analyze the bidirectional causal relationship between different SARS-CoV-2 infection phenotypes and retinal obstruction. The Q statistic was used to assess heterogeneity among single nucleotide polymorphisms (SNP), while MR-Presso was utilized to detect SNP outliers, and MR-Egger intercept tests were performed to evaluate horizontal pleiotropy. ResultsThe MR analysis, using IVW, random effects models, MR-Egger, WM, and weighted models, indicated no significant association between common SARS-CoV-2 infection, hospitalized infection, severe infection, and retinal vascular obstruction (P＞0.05). Additionally, retinal vascular obstruction did not show a significant association with the various SARS-CoV-2 infection phenotypes (P＞0.05). In the simple model, a significant association was found between severe SARS-CoV-2 infection and RVO (P＜0.05), as well as between RVO and common SARS-CoV-2 infection (P＜0.05). No heterogeneity was observed in the IVW and MR-Egger analyses (P＞0.05). The MR-Egger test provided no evidence of horizontal pleiotropy (P＞0.05), and MR-Presso detected no outlier SNP. ConclusionThe findings of this study do not support a causal relationship between SARS-CoV-2 infection and the occurrence of retinal vascular obstruction.
Objective To explore the relationship between alcohol induced osteonecrosis of the femoral head (ONFH) and the single nucleotide polymorphisms (SNP) of methylene tetrahydrofolate reductase (MTHFR) 677 C/T. Methods From July 2005 to May 2008, eighty-nine male patients with alcohol induced ONFH were selected as the patient group, aged from 24 to58 years old (mean 44.3 years old). The time of drinking was about 17 years, 375 mL/day. The imaging evidence showed ONFH with no other history associated to ONFH. Seventy-seven male healthy adults were selected as the control group, aged from 23 to 52 years old (mean 42.7 years old). The time of drinking was about 14 years, 335 mL/day. The imaging evidence showed no ONFH. The 2 mL blood sample was acquired from every subject. DNA was purified from leucocyte at first, then was ampl icated by PCR, the product of PCR was sequenced at last. The SNP of MTHFR 677 C/T was analyzed with SPSS 12.0 software package. Results The TT genotype and T allele frequencies of MTHFR 677 C/T were 27.2% and 52.0% (P gt; 0.05) in the control group, and the distribution of genotype was consistent with Hardy-Weinberg equil ibrium. The genotype frequencies of CC, CT and TT were 23.4% (18 cases), 49.4% (38 cases) and 27.2% (21 cases) in the control group, were 14.6% (13 cases), 36.0% (32 cases) and 49.4% (44 cases) in the patient group; showing statistically significant differences (P lt; 0.05). The allele frequencies of C and T were 48.0% (74) and 52.0% (80) in the control group, and were 32.6% (58) and 67.4% (120) in the patient group; showing statistically significant differences (P lt; 0.05). The frequencies of C, T alleles and TT genotype were higher in the patient group than in the control group, showing statistically significant differences (P lt; 0.05). The odds ratios were 0.523, 1.914 and 2.607, respectively; the 95% confidence interval were 0.335-0.816, 1.226-2.987, 1.359-5.001, respectively. Conclusion The relationship may exist between the SNP of MTHFR 677 C/T and alcohol induced ONFH.
Objective To explore the causal relationship between gut microbiota and urinary tract infections (UTI) using data from genome-wide association studies. Methods The gut microbiota data were sourced from the MiBioGen consortium, comprising genetic variables from 18 340 individuals. UTI data (ieu-b-5.65) were derived from the UK Biobank. Six methods including inverse variance weighted (IVW), Mendelian randomization (MR)-Egger, maximum likelihood, simple mode, weighted mode, and weighted median were employed for two-sample MR analysis on these datasets. Additionally, MR-PRESSO was used to detect and correct for heterogeneity and outliers in the analysis. Cochran’s Q test and leave-one-out analysis were applied to assess potential heterogeneity and multiple effects. Furthermore, reverse MR analysis was conducted to investigate causal relationships between UTI and gut microbiota. Results According to IVW method analysis results, bacterial genera Eggerthella (OR=1.08, 95%CI 1.01 to 1.16, P=0.034) and Ruminococcaceae (UCG005) (OR=1.10, 95%CI 1.01 to 1.20, P=0.022) were found to increase the risk of UTI, while Defluviitaleaceae (UCG011) (OR=0.90, 95%CI 0.82 to 0.99, P=0.022) appeared to decrease it. Reverse MR analysis did not reveal a significant effect of UTI on these three bacterial genera. Our study found no evidence of heterogeneity or pleiotropy based on the results of Cochran’s Q test, MR-Egger, and MR-PRESSO global test. Conclusion In this MR study, we demonstrate a causal association between Eggerthella, Ruminococcaceae, Defluvitalaceae and the risk of urinary tract infections.
Objective
To explore the relationships between the polymorphisms of inhibitor genes WIF1 and DKK1 in WNT signaling pathway and susceptibility to tuberculosis, clinical characteristics and laboratory indexes.
Methods
From December 2014 to November 2016, 475 tuberculosis patients and 370 healthy controls of West China Hospital of Sichuan University were enrolled in the study, and the clinical data of the subjects were collected. High-throughput genotyping technique was used to detect the polymorphisms of WIF1 rs58635985 and DKK1 rs11001548 in WNT signaling pathway. The allele frequency distribution, genotype, genetic model, clinical features and laboratory indexes of two single nucleotide polymorphisms were analyzed by χ2 test and logistic regression analysis.
Results
There was no significant difference in the allele frequency distribution (P=0.275, 0.949), genotype (P=0.214, 0.659) or genetic models: additive model (P=0.214, 0.659), dominant model (P=0.414, 0.827), recessive model (P=0.227, 0.658) of rs58635985 and rs11001548 between the tuberculosis group and the healthy control group. Subgroup analysis showed no significant difference in allele and genotype distribution between rs58635985 and rs11001548 (pulmonary tuberculosis group vs. healthy control group: P>0.05; pulmonary tuberculosis groupvs. extra-pulmonary tuberculosis group: P>0.05). There was no significant difference in the clinical features (fever, night sweat, fatigue,etc.) or laboratory indexes (complete blood count, erythrocyte sedimentation rate, TB-DNA, etc.) (P>0.05).
Conclusions
There is no association between rs58635985 of WIF1 gene or rs11001548 of DKK1 gene and genetic susceptibility, clinical characteristics and laboratory indexes in Han population in Western China. To expand the sample size for verification and analysis in different populations is necessary.
The association between single nucleotide polymorphism and disease is a typical representation of genetic association studies. Compared with the traditional dichotomous data, single nucleotide polymorphism data has its own characteristics, and 5 genetic models are commonly performed in meta-analysis. In this paper, we show how to use the " meta” package in R software to conduct meta-analysis of single nucleotide polymorphism research through examples.
ObjectiveTo investigate the association between single nucleotide polymorphism (SNP) rs3754219 in the glucose transporters 1 (GLUT1) gene and genetic susceptibility to type 2 diabetes mellitus (T2DM) in Han population in Guangdong Province.MethodsA total of 1 092 T2DM patients (case group) and 1 092 healthy controls (control group) diagnosed or examined between November 2011 and October 2014 form 10 hospitals were enrolled in this study. SNPscanTM SNP classification technology was used to detect the polymorphism of rs3754219 of GLUT1 genetype. Finally, 1 067 T2DM patients and 1 054 healthy controls were included, removing 37 individuals with SNP typing deletion rates >20% and 26 individucals with failed SNP site genotyping. The differences in allele frequency distribution, genotype, and genetic models between the two groups were analyzed.ResultsAfter correction for age and body mass index, there was no statistically significant difference in allele frequency or polymorphism genotype frequency of rs3754219 (P>0.05). There was no statistically significant difference between the two groups under different genetic models (P>0.05).ConclusionGenetic susceptibility to T2DM in Han population in Guangdong Province may be unrelated to the GLUT1 rs3754219 SNP.
【Abstract】 Objective To analyze the correlations between the mt5351G and mt6680C genotypes in mitochondrial DNA ( mtDNA) haplogroup M and susceptibility to high altitude pulmonary edema ( HAPE)among the Hans. Methods Specimens from206 Hans cases of HAPE and 144 matched Hans controls were collected. Then PCR-RFLP method was used to determine haplogroup M and N of mtDNA, and PCR-LDR was used to genotype mt5351G and mt6680C in the haplogroup M in these samples. Results The frequencies of haplogroup Mand N were 49. 0% and 51.0% in the HAPE patients, and 47. 2% and 52. 8% in the controls, respectively, with no significant difference between the HAPE patients and the controls. In the haplogroup M, the genotype of mt6680C and mt5351G frequencies in the HAPE patients were both significantly higher than the controls ( both 12. 0% vs. 1. 5% , P = 0. 016) . Conclusion The existence of mt5351G and mt6680C genotypes in the haplogroup Mis a risk factor for HAPE among the Hans.
Objective
To review the research progress of bone morphogenetic protein (BMP) and the liability of ossification of the posterior longitudinal ligament (OPLL).
Methods
Recent literature concerning BMP and the liability of OPLL was reviewed, analysed, and summarized.
Results
The single nucleotide polymorphisms (SNPs) of BMP gene may produce a minor cumulative effect and increase individual susceptibility to OPLL. A variety of environmental factors can promote the occurrence and development of OPLL by increasing the expression of BMP gene.
Conclusion
The SNPs of BMP gene may increase individual susceptibility to OPLL. However, interaction of cumulative effect of the SNPs and environmental factors can promote the liability to OPLL.
