Cardiovascular Diseases Clinical Trial
To reanalyze data on risk factors for cardiovascular disease (CVD) including total cholesterol and high density lipoprotein (HDL) cholesterol for the subjects in the first, second, and third exams of the NHLBI Twin Study.
BACKGROUND:
The results of these longitudinal analyses yielded new insights on genetic effects affecting
CVD risk factors during the aging process.
DESIGN NARRATIVE:
The analyses utilized maximum likelihood estimators of genetic variance which were
asymptotically more efficient than the method-of-moments estimators used in previous
analyses. The models used incorporated terms to partition the variance in a trait from twin
data into either i) additive genetic variance and unshared environmental variance (the AE
model), ii) additive genetic variance, dominance genetic variance, and unshared
environmental variance (the ADE model), or iii) additive genetic variance, shared
environmental variance, and unshared environmental variance (the ACE model). The AE, ADE,
and ACE models were fitted separately to data from each of the three exams to obtain a
cross-sectional analysis. The investigators also extended these models for use with
longitudinal data by incorporating terms to represent the covariance of variance components
from different exams.
Two important additional objectives of this study were i) to introduce resistant estimation
techniques in twin modeling, which trimmed the effect of outlier data points smoothly, and
ii) to carefully study the performance of maximum likelihood and method-of-moments
estimators when assumptions of the twin model were violated. The results of these parts of
the study should yield a more complete understanding of the relative merits and limitations
of twin modeling procedures.
The study completion date listed in this record was obtained from the "End Date" entered in
the Protocol Registration and Results System (PRS) record.
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