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혼합모형을 이용한 혈중 지질농도의 유전적 관련성 분석

Other Titles
 Genetic Association Analysis of Lipid Profiles Using Linear Mixed Model 
 송기준  ;  박찬미  ;  임길섭  ;  장양수  ;  김동기 
 KOREAN CIRCULATION JOURNAL, Vol.36(3) : 229-235, 2006 
Journal Title
Issue Date
Background and Objectives: Analyzing the association between multiple SNPs and the disease outcomes will provide new insight into the disease’s etiology. However, this presents an analytic difficulty due to the large number of SNPs and the complex relationships among them. We proposed using the mixed model approach to identify the significant multi-locus genotypes and the high-order gene-to-gene interactions. Subjects and Methods: We described the mixed effects model and applied this approach to real world data. For the purpose of these analyses, we examine the association of four types of SNPs (AGT5, APOB, CETP3 and ACE6) with the lipid profiles and the measures related with cardiovascular disease. We used data from 672 healthy individuals (283 males and 389 females) who were without cardiovascular diseases. Results: The results of our analysis suggested that there were significant random genotype patterns and genotype groups according to the gender effect on the lipid profiles. In other words, there was significant variability across the genotype groups because of the effect of gender on the lipid profiles. Conclusion: The mixed model approach provided a flexible statistical framework for controlling potential confounding variables and for identifying a significant genetic contributions that may come about through the effects of multi-locus genotypes or through an interaction between the genotype and environmental variables (e.g. gender) with the variations in quantitative traits (e.g. lipid profiles). There were significant genetic contributions to the variability in the lipid profiles, and these were explained by the 4 SNPs described in our real data.
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1. College of Medicine (의과대학) > Dept. of Internal Medicine (내과학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Biomedical Systems Informatics (의생명시스템정보학교실) > 1. Journal Papers
Yonsei Authors
Kim, Dong Ki(김동기)
Park, Chan Mi(박찬미)
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
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