Age and Gender Biases in Secondary??Prevention of Coronary??Heart Disease in a Finnish??University Hospital Setting

2007 ◽  
Vol 27 (10) ◽  
pp. 673-681 ◽  
Author(s):  
Sanna-Maria Michou ◽  
Mika K??h??nen ◽  
Terho Lehtim??ki ◽  
Kjell Nikus ◽  
Jari Viik ◽  
...  
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.


Gene ◽  
2013 ◽  
Vol 528 (2) ◽  
pp. 93-98 ◽  
Author(s):  
Basak Akadam-Teker ◽  
Ozlem Kurnaz ◽  
Ender Coskunpinar ◽  
Aynur Daglar-Aday ◽  
Ozlem Kucukhuseyin ◽  
...  

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