Literature DB >> 10885188

Tracking of familial resemblance for resting blood pressure over time in the Québec Family Study.

T Rice1, R Rao, L Pérusse, C Bouchard, D C Rao.   

Abstract

The etiology of familial resemblance for systolic (SBP) and diastolic (DBP) blood pressure, both within a single time point as well as across time points, was assessed to determine how familial etiologies underlying a trait may change across time. SBP and DBP measurements were taken roughly 12 years apart in family members participating in the longitudinal Québec Family Study. A longitudinal (bivariate) familial correlation model yields 3 types of correlations: intraindividual cross-time (e.g., father's BP at time 1 with his own BP at time 2); interindividual within-time (e.g., father time 1 with child time 1); and interindividual cross-time (e.g., father time 1 with child time 2). In addition, the change in BP across time (i.e., time 1-time 2) is examined using a univariate family correlation model. This combined method is useful in assessing the degree to which the same familial factors are operating across time (interindividual cross-time correlations), as well as the degree to which different heritable components are involved across time (change score). Maximal heritabilities for SBP were about 70% at each time point, while for DBP the heritability was larger at time 1 (87%) than time 2 (39%). Both the change scores (48% for SBP and 54% for DBP) and the cross-time comparisons (58% to 72% for SBP and 63% to 65% for DBP) evidenced significant familial resemblance. These results illustrate how simple methodologies can be used to specify how familial etiologies underlying a trait may change across time. For BP, the model includes unique familial factors that are specific to each time measurement, and an additional familial factor which is common to both time points. The factors leading to differences in longitudinal familial resemblance for BP (i.e., the unique factors) may be primarily genetic in origin, while those leading to stability across time may include both genetic and familial environmental effects. Sex and/or age interactions with the genotypes are also suggested.

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Year:  2000        PMID: 10885188

Source DB:  PubMed          Journal:  Hum Biol        ISSN: 0018-7143            Impact factor:   0.553


  4 in total

Review 1.  Tracking of blood pressure from childhood to adulthood: a systematic review and meta-regression analysis.

Authors:  Xiaoli Chen; Youfa Wang
Journal:  Circulation       Date:  2008-06-16       Impact factor: 29.690

2.  Epidemiology of essential hypertension: the role of genetic polymorphism.

Authors:  V Romano-Spica; M Mettimano; A Ianni; M L Specchia; G Ricciardi; L Savi
Journal:  Eur J Epidemiol       Date:  2003       Impact factor: 8.082

3.  Power of linkage analysis using traits generated from simulated longitudinal data of the Framingham Heart Study.

Authors:  Dai Wang; Xiaohui Li; Ying-Chao Lin; Kai Yang; Xiuqing Guo; Huiying Yang
Journal:  BMC Genet       Date:  2003-12-31       Impact factor: 2.797

4.  The Effect of nutrition education on knowledge, attitude, and performance about junk food consumption among students of female primary schools.

Authors:  Ali Esmaeili Vardanjani; Mahnoush Reisi; Homamodin Javadzade; Zabihollah Gharli Pour; Elahe Tavassoli
Journal:  J Educ Health Promot       Date:  2015-08-06
  4 in total

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