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:: Volume 15, Issue 4 (12-2013) ::
2013, 15(4): 352-359 Back to browse issues page
Studying the Interaction Effects of Gene Polymorphisms on Low Level of HDL Over Time Using Transition Logic Regression: Tehran Lipid and Glucose Study
Parvin Sarbakhsh Dr, Yadollah Mehrabi Dr , Maryam Daneshpour Dr, Farid Zayeri Dr, Maryam Zarkesh , Feridoun Azizi Dr
Department of Epidemiology,School of Public Health, Shahid Beheshti University of Medical Sciences , mehrabi@sbmu.ac.ir
Abstract:   (5169 Views)

Introduction: As High-density lipoprotein (HDL) is directly associated with cardiovascular disease, the factors affecting the levels of this fat can be effective in reducing heart diseases. In addition to biochemical and environmental factors, genetic interactions also affect HDL level. Since polymorphism effects can be time-dependent, study of genetic interactions on HDL over time is important. In this study, we proposed Transition Logic Regression to analyze interactions in binary longitudinal data and used it to investigate polymorphism interactions related to low HDL over time. Materials and Methods: Data of 329 subjects who participated in three phases of TLGS was analyzed using the proposed model. Results: Results showed that subjects with high triglyceride levels and increased waist circumference have an odds ratio of 2.29 (CI95%: 1.51, 3.48) of having low HDL. Also, being in phase 2 and being a carrier of the minor allele of ApoA1M1 or being homozygous for the common allele of ApoCIII, were associated with an increased odds of having low HDL (OR= 2.30, CI95%: 1.77, 2.99). The odds ratio for having low HDL in male subjects with high blood pressure or being homozygous for the minor allele of SRB1 is 0.38 (CI95%: 0.25,0.59). Conclusions: Considering the identification of gene interactions in genetic studies and their importance over time, Transition Logic Regression was introduced and used to find gene interactions influencing low HDL over time and the most important models for gene interactions were identified.

 

Keywords: Logic Regression, Interaction effect, longitudinal data, Transition model, SNP, HDL
Full-Text [PDF 314 kb]   (1131 Downloads)    
Type of Study: Original | Subject: Genetic
Received: 2013/03/11 | Accepted: 2013/05/15 | Published: 2013/12/15
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Sarbakhsh P, Mehrabi Y, Daneshpour M, Zayeri F, Zarkesh M, Azizi F. Studying the Interaction Effects of Gene Polymorphisms on Low Level of HDL Over Time Using Transition Logic Regression: Tehran Lipid and Glucose Study. Iranian Journal of Endocrinology and Metabolism. 2013; 15 (4) :352-359
URL: http://ijem.sbmu.ac.ir/article-1-1527-en.html


Volume 15, Issue 4 (12-2013) Back to browse issues page
مجله ی غدد درون‌ریز و متابولیسم ایران، دو ماهنامه  پژوهشی مرکز تحقیقات غدد درون‌ریز و متابولیسم، Iranian Journal of Endocrinology and Metabolism
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