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혈중 지질 농도와 관련한 양적 형질 유전자의 연관 불균형 분석

Other Titles
 Linkage Disequilibrium Analysis of Quantitative Trait Locus Associated with Lipid Profiles 
Authors
 송기준  ;  임길섭  ;  조진남  ;  장양수  ;  박현영 
Citation
 KOREAN CIRCULATION JOURNAL, Vol.36(10) : 688-694, 2006 
Journal Title
KOREAN CIRCULATION JOURNAL
ISSN
 1738-5520 
Issue Date
2006
Keywords
Quantitative trait locus ; Association ; Linkage disequilibrium ; Lipids
Abstract
Background and Objectives: The common methods of genetic association analysis are sensitive to population stratification, which may easily lead to a spurious association result. We used a regression approach based for linkage disequilibrium to perform a high resolution genetic association analysis.

Subjects and Methods: We applied a regression approach that can increase the resolution of quantitative traits that are related with cardiovascular diseases. The population data was composed of 543 males and 876 females without cardiovascular diseases, and it was obtained from a cardiovascular genome center. We used information about linkage disequilibrium between the marker and trait locus, and we added the covariates to model their effects.

Results: We found that this regression approach has the merit of analyzing genetic association based on linkage disequilibrium. In the analysis of the male group, the total cholesterol was significantly in linkage disequilibrium with CETP3 (p=0.002), and triglyceride was significantly in linkage disequilibrium with ACE8 (p=0.037), APOA1-1 (p=0.031), APOA5-1 (p=0.001), APOA5-2 (p=0.001) and LIPC4 (p=0.022). HDL-cholesterol was significantly in linkage disequilibrium with ACE7 (p=0.002), ACE8 (p=0.008), ACE10 (p=0.003), APOA5-2 (p=0.022), and MTP1 (p=0.001). In the female group, total cholesterol was significantly associated with APOA5-1 (p=0.020), APOA5-2 (p=0.001), and LIPC1 (p=0.016), and triglyceride was significantly associated with APOA5-1 (p=0.009), APOA5-2 (p=0.001), and CETP5 (p=0.049). LDL-cholesterol was significantly associated with APOA5-2 (p=0.004), and HDL-cholesterol was significantly associated with LIPC1 (p=0.004).

Conclusion: We used a regression-based method to perform high resolution linkage disequilibrium analysis of a quantitative trait locus that's associated with lipid profiles. This method of using a single marker, as applied in this paper, was well suited for analysis of genetic association. Because of the simplicity, the method can also be easily performed by routine statistical analysis software.
Files in This Item:
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Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Biomedical Systems Informatics (의생명시스템정보학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Internal Medicine (내과학교실) > 1. Journal Papers
Yonsei Authors
Song, Ki Jun(송기준) ORCID logo https://orcid.org/0000-0003-2505-4112
Jang, Yang Soo(장양수) ORCID logo https://orcid.org/0000-0002-2169-3112
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/110887
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