scholarly journals Genetic Analysis of 25 Patients with 5α-Reductase Deficiency in Chinese Population

2020 ◽  
Vol 2020 ◽  
pp. 1-7
Author(s):  
Bing Han ◽  
Tong Cheng ◽  
Hui Zhu ◽  
Jie Yu ◽  
Wen-jiao Zhu ◽  
...  
Keyword(s):  
Chinese Population ◽  
Autosomal Recessive Disorder ◽  
Ambiguous Genitalia ◽  
Chinese Patients ◽  
Nucleotide Polymorphisms ◽  
Single Nucleotide ◽  
Reductase Deficiency ◽  
Significant Difference ◽  
Hotspot Mutations

Background. A deficiency in steroid 5α-reductase type 2 is an autosomal recessive disorder. Affected individuals manifested ambiguous genitalia, which is caused by decreased dihydrotestosterone (DHT) synthesis in the fetus. Methods. We analyzed 25 patients with 5α-reductase deficiency in China. Seventeen of the 25 patients (68%) were initially raised as females. Sixteen patients changed their social gender from female to male after puberty. Results. Eighteen mutations were identified in these patients. p.Gly203Ser and p.Gln6∗ were found to be the most prevalent mutations. On the basis of the genotype of these patients, we divided them into different groups. There was no significant difference in hormone levels and external masculinization score (EMS) in patients with or without these prevalent mutations. Twelve common single-nucleotide polymorphisms (SNPs) near the p.Gln6∗ mutation were chosen for haplotype analysis. Three haplotypes were observed in 6 patients who had the p.Gln6∗ mutation (12 alleles). Conclusion. We analyzed mutations of the SRD5A2 gene in Chinese patients with 5α-reductase deficiency. Although hotspot mutations exist, no founder effect of prevalent mutations in the SRD5A2 gene was detected in the Chinese population.

scholarly journals Gas6 gene rs8191974 and Ap3s2 gene rs2028299 are associated with type 2 diabetes in the northern Chinese Han population

2017 ◽  
Vol 64 (2) ◽  
Author(s):  
Elena Kazakova ◽  
Tianwei Zghuang ◽  
Tingting Li ◽  
Qingxiao Fang ◽  
Jun Han ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Chinese Population ◽  
Specific Gene ◽  
Dominant Model ◽  
Nucleotide Polymorphisms ◽  
Chinese Han ◽  
Chinese Populations ◽  
Significant Difference ◽  
Stratified Analysis

Previous studies in other countries have shown that single nucleotide polymorphisms (SNPs) in the growth arrest-specific gene 6 (Gas6; rs8191974) and adapter- related protein complex 3 subunit sigma-2 (Ap3s2; rs2028299) were associated with an increasedrisk for type 2 diabetes mellitus (T2DM). However, the association of these loci with T2DM has not been examined in Chinese populations. We performed a replication study to investigate the association of these susceptibility loci with T2DM in the Chinese population. We genotyped 1968 Chinese participants (996 with T2DM and 972controls) for rs8191974 in Gas6 and rs2028299 near Ap3s2, and examined their association with T2DM using a logistic regression analysis. We also analyzed the correlation of genotypes and clinical phenotypes. The distribution of the T allele of SNP rs8191974 in the Gas6 gene was significantly different between T2DM cases and controls when compared with the C allele (P<0.05, OR: 0.80，95% CI: 0.69–0.94). The occurrence of the CT genotype and the dominant model was also significantly less frequent in the T2DM cases vs. controls when compared with the CC genotype (CT vs. CC: P<0.05, OR: 0.75, 95% CI:0.62–0.90; TT+CT vs. CC: P<0.05, OR:0.75, 95% CI:0.63–0.90). In SNP rs2028299, the allele C showed no statistically significant differencein distribution between the control and T2DM groups when compared with allele A. However, in male populations, the dominant model was statistically more frequent when compared with genotype AA (CC+CA vs. AA: P<0.05, OR:1.29, 95% CI:1.02–1.64), and in obesity-stratified analysis, we also observed a significant difference in the distribution of the dominant model between the T2DM cases and controls in subjects with BMI≥24 kg/ m2 and BMI<28kg/m2 (CC+CA vs. AA: P<0.05, OR: 6.33, 95% CI:4.17–9.61). In conclusion, our study shows that SNPsrs8191974 and rs2028299 are significantly associated with T2DM in the Chinese population.

scholarly journals Association of Leptin Gene Polymorphisms with Rheumatoid Arthritis in a Chinese Population

2020 ◽  
Vol 2020 ◽  
pp. 1-7
Author(s):  
Sha-Sha Tao ◽  
Yi-Lin Dan ◽  
Guo-Cui Wu ◽  
Qin Zhang ◽  
Tian-Ping Zhang ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Chinese Population ◽  
Clinical Manifestations ◽  
Enzyme Linked Immunosorbent Assay ◽  
Healthy Controls ◽  
Nucleotide Polymorphisms ◽  
Single Nucleotide ◽  
Genotype Frequencies ◽  
Significant Difference ◽  
Plasma Leptin

Background. Recently, increasing studies have revealed that leptin is involved in the development of rheumatoid arthritis (RA). This study is aimed at exploring the association of leptin gene single nucleotide polymorphisms (SNPs) with susceptibility to RA in a Chinese population. Methods. We recruited 600 RA patients and 600 healthy controls from a Chinese population and analyzed their three leptin SNPs (rs10244329, rs2071045, and rs2167270) using the improved Multiplex Ligase Detection Reaction (iMLDR) assays. The associations of these SNPs with clinical manifestations of RA were also analyzed. Enzyme-linked immunosorbent assay (ELISA) was performed for plasma leptin determination. Results. No significant difference in either allele or genotype frequencies of these three SNPs between RA patients and healthy controls was observed (all P > 0.05 ). Association between the genotype effects of dominant, recessive models was also not found (all P > 0.05 ). No significant difference in plasma leptin levels was detected between RA patients and controls ( P > 0.05 ). Conclusion. Leptin gene (rs10244329, rs2071045, and rs2167270) polymorphisms are not associated with RA genetic susceptibility and its clinical features in the Chinese population.

Association between Single-nucleotide Polymorphisms of RXRG and Genetic Susceptibility to Type 2 Diabetes in South China

2020 ◽  
Vol 20 (6) ◽  
pp. 408-414
Author(s):  
Haibing Yu ◽  
Shu Wang ◽  
Wei Hu ◽  
Lin Xu ◽  
Yuanlin Ding ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Risk Factor ◽  
Genetic Susceptibility ◽  
South China ◽  
Nucleotide Polymorphisms ◽  
Chinese Han ◽  
Single Nucleotide ◽  
Han Population ◽  
Significant Difference

Objective: To investigate the relationship between genetic polymorphisms of RXRG rs1467664, rs3753898 and the genetic susceptibility of type 2 diabetes in the Chinese Han population from South China. Methods: In our case-control study, single-nucleotide polymorphisms (SNPs) rs1467664 and rs3753898 were genotyped by SNPscanTM kit in 1092 patients with T2D as cases and 1092 normal persons as controls. The distributions of genotype and allele frequencies in two groups were analyzed by the SPSS 20.0 software. Results: The distribution of genotypes and alleles of RXRG rs3753898 was statistically significant between the two groups, but there was no significant difference in the distribution of genotypes and alleles of the rs1467664. Before and after the adjustment of age, sex and BMI, rs3753898 in the two groups had statistical significance under the additive, dominant and recessive models (P<0.05), but no statistical differences were found under the overdominance and co-dominant genetic models (P>0.05). There was no significant difference in the genetic models of rs1467664 between the two groups (P>0.05). The haplotype, which consists of rs1467664 allele T and rs3753898 allele A was a high-risk factor for T2D, OR=1.27, 95% CI (1.09-1.47), Padj=0.002. Conclusion: Our results showed that the single nucleotide polymorphism of RXRG rs3753898 may be related to genetic susceptibility of type 2 diabetes. The haplotype consisting of the allele T of rs1467664 and the allele A of rs3753898 is a risk factor for type 2 diabetes, suggesting that the genetic variation of RXRG gene may be the genetic cause of diabetes mellitus in the Chinese Han population.

Association of PPARG Gene Polymorphisms Pro12Ala with Type 2 Diabetes Mellitus: A Meta-analysis

2019 ◽  
Vol 15 (4) ◽  
pp. 277-283 ◽  
Author(s):  
Junyan Li ◽  
Xiaohong Niu ◽  
JianBo Li ◽  
Qingzhong Wang
Keyword(s):  
Publication Bias ◽  
Chinese Population ◽  
Meta Analysis ◽  
Genetic Data ◽  
Nucleotide Polymorphisms ◽  
Single Nucleotide ◽  
Genetic Studies ◽  
Combined Analysis ◽  
Pparg Gene

Background:Previous studies suggested that the single nucleotide polymorphisms of Pro12Ala located within the PPARG gene were significantly associated with the T2DM. Recently, the genetic studies on Pro12Ala were conducted in the different ethnic groups and the results of each study were shown to be inconsistent. Moreover, the systematic review has not been updated since 2000.Objective:To further validate the risk of Pro12Ala for T2DM disease based on the genetic data.Methods:The genetic studies on the Pro12Ala in the T2DM were searched in the PubMed and PMC database from January 2000 to October 2017. The meta-analysis was conducted with the CMA software.Results:The meta-analysis collected 14 studies including 20702 cases and 36227 controls. The combined analysis of all studies found that Pro12Ala was shown to be significantly associated with T2DM and the Ala allele played the increasing risks for the disease. Nevertheless, publication bias was detected in the combined analysis. The subgroup analysis indicated that Pro12Ala was found to be significant in the Caucasian and Chinese population. There was no heterogeneity and publication bias in these two groups.Conclusion:The meta-analysis confirmed the evidence that the Pro12Ala was the susceptible variant for the decreasing risks for the T2DM

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