TY - JOUR
T1 - Repeated‐measures model for the investigation of temporal trends using longitudinal family studies
T2 - Application to systolic blood pressure
AU - Province, M. A.
AU - Tishler, P.
AU - Rao, D. C.
AU - Eaves, Lindon J.
PY - 1989
Y1 - 1989
N2 - A contemporary path model for the analysis of familial resemblance is extended to incorporate repeated measurements on the entire pedigree over time, in order to assess age‐related changes in familiality. The parameters of the model can be defined as arbitrary functions of the ages, age differences, or cohabitation times of the family members at the exact time of measurement. Tracking of the phenotypes is decomposed into a familial and a nonfamilial component, which vares with both the time span between measurements and the ages at measurement. Some of the family members may have data missing on one or more visits, and the visits may be unequally spaced both within and across families. The method incorporates all measurements available from all visits into a single model. The model is applied to longitudinal data on systolic blood pressure in 490 East Boston families measured two times at 3‐year intervals. Evidence for some nonfamilial tracking is found. Additionally, significant temporal trends are demonstrated in the familiality as a function of age, t2(A), which appears to be near zero at birth, grow to a maximum of about 40% at around age 30, and then appears to monotonically decrease again. No evidence was found for temporal trends in marital resemblance or residual sibling environmental effects. This model provides an objective method of investigating developmental changes in the correlational structure of families over time using repeated‐measures and of estimating continuous changes in familiality with age.
AB - A contemporary path model for the analysis of familial resemblance is extended to incorporate repeated measurements on the entire pedigree over time, in order to assess age‐related changes in familiality. The parameters of the model can be defined as arbitrary functions of the ages, age differences, or cohabitation times of the family members at the exact time of measurement. Tracking of the phenotypes is decomposed into a familial and a nonfamilial component, which vares with both the time span between measurements and the ages at measurement. Some of the family members may have data missing on one or more visits, and the visits may be unequally spaced both within and across families. The method incorporates all measurements available from all visits into a single model. The model is applied to longitudinal data on systolic blood pressure in 490 East Boston families measured two times at 3‐year intervals. Evidence for some nonfamilial tracking is found. Additionally, significant temporal trends are demonstrated in the familiality as a function of age, t2(A), which appears to be near zero at birth, grow to a maximum of about 40% at around age 30, and then appears to monotonically decrease again. No evidence was found for temporal trends in marital resemblance or residual sibling environmental effects. This model provides an objective method of investigating developmental changes in the correlational structure of families over time using repeated‐measures and of estimating continuous changes in familiality with age.
KW - blood pressure
KW - family studies
KW - repeated measures
UR - http://www.scopus.com/inward/record.url?scp=0024370596&partnerID=8YFLogxK
U2 - 10.1002/gepi.1370060204
DO - 10.1002/gepi.1370060204
M3 - Article
C2 - 2721928
AN - SCOPUS:0024370596
SN - 0741-0395
VL - 6
SP - 333
EP - 347
JO - Genetic Epidemiology
JF - Genetic Epidemiology
IS - 2
ER -