Investigation of associations between ten polymorphisms and the risk of coronary artery disease in Southern Han Chinese.
J Hum Genet
; 61(5): 389-93, 2016 May.
Article
in En
| MEDLINE
| ID: mdl-26740236
ABSTRACT
A large-scale meta-analysis of 14 genome-wide association studies has identified and replicated a series of susceptibility polymorphisms for coronary artery disease (CAD) in European ancestry populations, but evidences for the associations of these loci with CAD in other ethnicities remain lacking. Herein we investigated the associations between ten (rs579459, rs12413409, rs964184, rs4773144, rs2895811, rs3825807, rs216172, rs12936587, rs46522 and rs3798220) of these loci and CAD in Southern Han Chinese (CHS). Genotyping was performed in 1716 CAD patients and 1572 controls using mass spectrography. Both allelic and genotypic associations of rs964184, rs2895811 and rs3798220 with CAD were significant, regardless of adjustment for covariates of gender, age, hypertension, type 2 diabetes, blood lipid profiles and smoking. Significant association of rs12413409 was initially not observed, but after the adjustment for the covariates, both allelic and genotypic associations were identified as significant. Neither allelic nor genotypic association of the other six polymorphisms with CAD was significant regardless of the adjustment. Our results indicated that four loci of the total 10 were associated with CAD in CHS. Therefore, some of the CAD-related loci in European ancestry populations are indeed susceptibility loci for the risk of CAD in Han Chinese.
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Coronary Artery Disease
/
Genetic Predisposition to Disease
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Polymorphism, Single Nucleotide
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Asian People
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Genetic Association Studies
Type of study:
Diagnostic_studies
/
Etiology_studies
/
Observational_studies
/
Prognostic_studies
/
Risk_factors_studies
/
Systematic_reviews
Limits:
Humans
Country/Region as subject:
Asia
Language:
En
Journal:
J Hum Genet
Journal subject:
GENETICA MEDICA
Year:
2016
Document type:
Article
Affiliation country: