Tracking of familial resemblance for resting blood pressure over time in the Québec Family Study.
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.
Rice
T
T
Division of Biostatistics, Washington University School of Medicine, St. Louis, MO 63110, USA.
Rao
R
R
Pérusse
L
L
Bouchard
C
C
Rao
D C
DC
D000328:Adult; D017677:Age Distribution; D001794:Blood Pressure / Q000235:genetics*; D001795:Blood Pressure Determination; D016009:Chi-Square Distribution; D002648:Child; D002675:Child, Preschool; D005260:Female; D005602:France / Q000208:ethnology; D006801:Humans; D008137:Longitudinal Studies; D008297:Male; D011159:Population Surveillance; D011792:Quebec; D012494:Sampling Studies; D017678:Sex Distribution; D044465:White People / Q000235:genetics*