Bivariate variance-component analysis, with application to systolic blood pressure and total cholesterol levels in the Framingham Heart Study
Cui, Jisheng S. and Sheffield, L. J. 2002, Bivariate variance-component analysis, with application to systolic blood pressure and total cholesterol levels in the Framingham Heart Study, in GAW13 2002 : Analysis of Longitudinal Family Data for Complex Diseases and Related Risk Factors, BioMed Central Ltd, [New Orleans, La.], pp. 1-5, doi: 10.1186/1471-2156-4-S1-S81.
Background : The correlations between systolic blood pressure (SBP) and total cholesterol levels (CHOL) might result from genetic or environmental factors that determine variation in the phenotypes and are shared by family members. Based on 330 nuclear families in the Framingham Heart Study, we used a multivariate normal model, implemented in the software FISHER, to estimate genetic and shared environmental components of variation and genetic and shared environmental correlation between the phenotypes. The natural logarithm of the phenotypes measured at the last visit in both Cohort 1 and 2 was used in the analyses. The antihypertensive treatment effect was corrected before adjustment of the systolic blood pressure for age, sex, and cohort. Results : The univariate correlation coefficient was statistically significant for sibling pairs and parent-offspring pairs, but not significant for spouse pairs. In the bivariate analysis, the cross-trait correlation coefficients were not statistically significant for all relative pairs. The shared environmental correlation was statistically significant, but the genetic correlation was not significant. Conclusion : There is no significant evidence for a close genetic correlation between systolic blood pressure and total cholesterol levels. However, some shared environmental factors may determine the variation of both phenotypes.
Appears in BMC Genetics 2003, 4(Suppl 1):S81
Field of Research
110299 Cardiovascular Medicine and Haematology not elsewhere classified
Socio Economic Objective
920199 Clinical Health (Organs, Diseases and Abnormal Conditions) not elsewhere classified
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.
Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO.
If you believe that your rights have been infringed by this repository, please contact email@example.com.
Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact firstname.lastname@example.org.