The INSIG1 gene, not the INSIG2 gene, associated with coronary heart disease: tagSNPs and haplotype-based association study

2008 ◽  
Vol 100 (05) ◽  
pp. 886-892 ◽  
Author(s):  
Xiaoli Liu ◽  
Yun Li ◽  
Laiyuan Wang ◽  
Qi Zhao ◽  
Xiangfeng Lu ◽  
...  

SummaryDyslipidemia, especially hypercholesterolemia, is a major risk factor of coronary heart disease (CHD). The insulin induced gene 1 (INSIG1) and insulin induced gene 2 (INSIG2) encode two proteins which mediate feedback control of cholesterol synthesis. We conducted a case-control study to investigate whether the common variants in INSIG genes were associated with CHD in Chinese Han population. Three single nucleotide polymorphisms (SNPs) of the INSIG1 gene and four SNPs of the INSIG2 gene were chosen as haplotype-tagging SNPs (htSNPs) and genotyped in 853 patients with CHD and 948 unrelated control subjects. Haplotype analysis showed that the haplotype Hap4 (TTA) of the INSIG1 gene significantly increased the risk of CHD (adjusted odds ratio [OR]1.59, 95% confidence interval [CI] 1.22–2.06,p=0.0006),while the haplotype Hap3 (TGA) significantly decreased the risk of CHD (adjusted OR 0.74, 95%CI 0.60–0.92, p=0.006) compared with the reference haplotype Hap1 (GGA). No significant associations were found between polymorphisms of INSIG2 gene and CHD. In addition, the single polymorphism analysis showed that rs9769826 of the INSIG1 gene was associated with glucose in controls. The G-allele (minor allele) carriers had higher glucose level (5.74 ± 2.03 mM) than AA genotype carriers (5.45 ± 1.37 mM,p=0.015).The present study indicated that the INSIG1 gene, but not the INSIG2 gene, was associated with CHD in the Chinese population.

2020 ◽  
Author(s):  
Yuping Yan ◽  
Xiaoyan Du ◽  
Xiaoxi liu ◽  
Jingjie Li ◽  
Zichao Xiong ◽  
...  

Abstract Objective: The aim of this study was to explore the effects of NINJ2 polymorphisms on susceptibility of coronary heart disease (CHD).Methods: We conducted a case-control study with 499 CHD cases and 505 age- and sex- matched controls. Five single nucleotide polymorphisms (SNP) in NINJ2 (rs118050317, rs75750647, rs7307242, rs10849390 and rs11610368) were genotyped by Agena MassARRAY platform. Odd ratios (OR) and 95% confidence intervals (CI) were calculated using logistic regression to assess the association of NINJ2 polymorphism and CHD risk adjusting for age and gender..Results: NINJ2 rs118050317 significantly increased the risk of CHD in people over 60 years old (allele: P = 0.010; heterozygote: P = 0.016; dominant: P = 0.015; additive: P = 0.021) and women (allele: P = 0.026; heterozygote: P = 0.015; dominant: P = 0.018; additive: P = 0.030). Rs118050317 and rs7307242 were closely related to the risk of hypertension in CHD patients. Additionally, rs75750647 significantly increased diabetes risk in multiple models among CHD cases (allele: P = 0.014; homozygote: P = 0.037; heterozygote: P = 0.044; dominant: P = 0.019; additive: P = 0.013), whereas rs10849390 could protect CHD patients from diabetes in allele (P = 0.035), homozygote (P = 0.047) and additive (P = 0.037) models. We also observed two block (block 1: rs118050317 and rs75750647; block 2: rs7307242, rs10849390 and rs11610368) in NINJ2.Conclusion: Our results suggested that the relationships of NINJ2 polymorphisms and CHD risk were dependent on age, sex or complications.


2020 ◽  
Author(s):  
Yuping Yan ◽  
Xiaoyan Du ◽  
Xiaoxi Liu ◽  
Jingjie Li ◽  
Zichao Xiong ◽  
...  

Abstract Objective The aim of this study was to explore the effects of NINJ2 polymorphisms on susceptibility of coronary heart disease (CHD). Methods We conducted a case-control study with 499 CHD cases and 505 age- and sex- matched controls. Five single nucleotide polymorphisms (SNP) in NINJ2 (rs118050317, rs75750647, rs7307242, rs10849390 and rs11610368) were genotyped by Agena MassARRAY platform. Odd ratios (OR) and 95% confidence intervals (CI) were calculated using logistic regression to assess the association of NINJ2 polymorphism and CHD risk adjusting for age and gender.. Results NINJ2 rs118050317 significantly increased CHD risk among people older than 60 years old (allele: P = 0.010; heterozygote: P = 0.016; dominant: P = 0.015; additive: P = 0.021) and women (allele: P = 0.026; heterozygote: P = 0.015; dominant: P = 0.018; additive: P = 0.030). Rs118050317 and rs7307242 had strong relationship with hypertension risk in CHD patients. Additionally, rs75750647 significantly increased diabetes risk in multiple models among cases (allele: P = 0.014; homozygote: P = 0.037; heterozygote: P = 0.044; dominant: P = 0.019; additive: P = 0.013), whereas rs10849390 could protect CHD patients from diabetes in allele ( P = 0.035), homozygote ( P = 0.047) and additive ( P = 0.037) models. We also observed two block (block 1: rs118050317 and rs75750647; block 2: rs7307242, rs10849390 and rs11610368) in NINJ2 . Conclusion Our results suggest that NINJ2 polymorphisms are associated with CHD risk.


2020 ◽  
Author(s):  
Yuping Yan ◽  
Xiaoyan Du ◽  
Xiaoxi liu ◽  
Jingjie Li ◽  
Zichao Xiong ◽  
...  

Abstract Objective: The aim of this study was to explore the effects of NINJ2 polymorphisms on susceptibility of coronary heart disease (CHD).Methods: We conducted a case-control study with 499 CHD cases and 505 age- and sex- matched controls. Five single nucleotide polymorphisms (SNP) in NINJ2 (rs118050317, rs75750647, rs7307242, rs10849390 and rs11610368) were genotyped by Agena MassARRAY platform. Odd ratios (OR) and 95% confidence intervals (CI) were calculated using logistic regression to assess the association of NINJ2 polymorphism and CHD risk adjusting for age and gender..Results: NINJ2 rs118050317 significantly increased CHD risk among people older than 60 years old (allele: P = 0.010; heterozygote: P = 0.016; dominant: P = 0.015; additive: P = 0.021) and women (allele: P = 0.026; heterozygote: P = 0.015; dominant: P = 0.018; additive: P = 0.030). Rs118050317 and rs7307242 had strong relationship with hypertension risk in CHD patients. Additionally, rs75750647 significantly increased diabetes risk in multiple models among cases (allele: P = 0.014; homozygote: P = 0.037; heterozygote: P = 0.044; dominant: P = 0.019; additive: P = 0.013), whereas rs10849390 could protect CHD patients from diabetes in allele (P = 0.035), homozygote (P = 0.047) and additive (P = 0.037) models. We also observed two block (block 1: rs118050317 and rs75750647; block 2: rs7307242, rs10849390 and rs11610368) in NINJ2.Conclusion: Our results suggest that NINJ2 polymorphisms are associated with CHD risk.


2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e16100-e16100
Author(s):  
Jing Lin ◽  
Yu Chen ◽  
Bin Lan ◽  
Zeng-qing Guo ◽  
Wei-feng Tang ◽  
...  

e16100 Background: Colorectal cancer is a leading cause of cancer deaths, with poor prognosis. Some studies have reported that obesity and overweight are risk factor for the development of CRC. Leptin ( LEP) and its receptor ( LEPR) single nucleotide polymorphisms (SNPs) might regulate energy balance and be implicated in the development of CRC. The aim of this case-control study was to assess the association of LEP rs2167270 G > A, rs7799039 A > G, LEPR rs6588147 G > A, rs1137100 G > A and rs1137101 G > A SNPs with susceptibility to CRC in Eastern Chinese Han population. Methods: 1,003 CRC cases and 1,303 matched controls was compared. Five functional SNPs in LEP and LEPR genes were chosen to evaluate the correlation of these chosen SNPs with CRC susceptibility. We used the SNPscan genotyping assay to genotype LEP and LEPR SNPs. Results: A significantly decreased risk of CRC was found to be associated with the LEPR rs6588147 polymorphism (GA vs. GG: crude P= 0.007 and GA/AA vs. GG: crude P= 0.018). With adjustments for risk factors (e.g. age, gender, drinking, BMI and smoking), these associations were not changed. In subgroup analyses, the association of LEP rs2167270 with a decreased risk of CRC was found in the ≥61 years old subgroup. For LEPR rs1137100, the association of this SNP with an increased susceptibility of CRC was found in the BMI < 24 kg/m2 subgroup. In subgroup analyses for LEPR rs6588147, we identified that this locus also decreased the susceptibility of CRC in the male subgroup, < 61 years old subgroup, never smoking subgroup and never drinking subgroup. For LEPR rs1137101, the relationship of this polymorphism with a decreased susceptibility to CRC was found in the never drinking subgroup. Conclusions: The present study highlights that LEPR rs6588147, rs1137101 and LEP rs2167270 may decrease the risk of CRC. However, LEPR rs1137100 is associated with susceptibility to CRC. Further case-control studies with larger sample sizes should be conducted to validate our findings.


2019 ◽  
Vol 20 (1) ◽  
Author(s):  
Yuan Wu ◽  
Junjie Zhao ◽  
Yonglin Zhao ◽  
Tingqin Huang ◽  
Xudong Ma ◽  
...  

Abstract Background Ischemic stroke (IS) is a serious cardiovascular disease and is associated with several single nucleotide polymorphisms (SNPs). However, the role of Cytochrome P450 family 4 subfamily F member 2 (CYP4F2) gene in IS remains unknown. Our study aimed to explore whether CYP4F2 polymorphisms influenced IS risk in the Han Chinese population. Methods We selected 477 patients and 495 controls to do a case-control study, and five SNPs in CYP4F2 gene were successfully genotyped. And we evaluated the associations using the Chi-squared test, independent sample t test, and genetic models analyses. Logistic regression analysis was used to calculate odds ratios (ORs) and 95% confidence intervals (CIs). Results In this study, rs12459936 and rs3093144 were associated with IS risk in the overall. After stratified analysis by age (> 61 years), rs3093193 and rs3093144 were related to an increased risk of IS, whereas rs12459936 was related to a decreased risk of IS. In addition, we found that three SNPs (rs3093193, rs3093144 and rs12459936) were associated with the susceptibility to IS in males. We also found five SNPs in the CYP4F2 gene had strong linkage. Conclusions Three SNPs (rs3093193, rs3093144 and rs12459936) in the CYP4F2 were associated with IS risk in a Chinese Han population. And, CYP4F2 gene may be involved in the development of IS.


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