Familial aggregation and coaggregation of history of hypertension and stroke.
We attempted to evaluate familial aggregation and coaggregation of history of hypertension and stroke. Past and family history of hypertension and stroke for 83 089 probands and their relatives were obtained from a data set for the Japan Collaborative Cohort Study for Evaluation of Cancer Risk sponsored by the Ministry of Education (JACC Study), which was initiated from 1988 to 1990. First, evaluation was performed for familial aggregation of each of two disorders using ordinal logistic regression of the generalized estimation equations (GEE) to account for dependence of observations within families. Secondly, in order to evaluate the familial congregation of the history of hypertension and stroke, a GEE-based multivariate probed predictive model was applied. After adjusting for the proband's age, level of obesity, smoking status, drinking status, habitation area, and the gender and type of the relatives, the estimated odds ratios for the intraindividual clustering and familial aggregation of the disease history showed statistically significant relationships. In addition, the history of the two disorders showed a significant relationship in terms of familial coaggregation independently of the aggregation of each disorder itself. Our results confirmed that hypertension and stroke coaggregate strongly within families through possible effects of genetic factors, which, alone or in conjunction with environmental factors, influence susceptibility to both hypertension and stroke.
Kondo
T
T
Department of Medical Technology, Nagoya University School of Health Sciences, Nagoya, Japan.
Toyoshima
H
H
Tsuzuki
Y
Y
Hori
Y
Y
Yatsuya
H
H
Tamakoshi
K
K
Tamakoshi
A
A
Ohno
Y
Y
D000328:Adult; D000368:Aged; D015331:Cohort Studies; D003625:Data Collection; D005260:Female; D020022:Genetic Predisposition to Disease; D006801:Humans; D006973:Hypertension / Q000150:complications* / Q000453:epidemiology / Q000235:genetics*; D007564:Japan / Q000453:epidemiology; D016015:Logistic Models; D008297:Male; D008487:Medical History Taking; D008875:Middle Aged; D016017:Odds Ratio; D020521:Stroke / Q000453:epidemiology / Q000209:etiology* / Q000235:genetics*