FAMILIAL AGGREGATION OF A DISEASE CONSEQUENT UPON CORRELATION BETWEEN RELATIVES IN A RISK FACTOR MEASURED ON A CONTINUOUS SCALE
FAMILIAL AGGREGATION OF A DISEASE CONSEQUENT UPON CORRELATION BETWEEN RELATIVES IN A RISK FACTOR MEASURED ON A CONTINUOUS SCALE
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DOI：
10.1093/oxfordjournals.aje.a116580
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发表时间：
1992-11-01
影响因子：
5
通讯作者：
CARLIN, JB
中科院分区：
文献类型：
--
作者：
HOPPER, JL;CARLIN, JB
亲属之间在一个或多个疾病风险因素中的相关性将有助于受影响个体的亲属的风险，而不管相关性的原因。本文提出了一个模型来量化以下三者之间的关系：1）定量风险因子中随机一对亲属之间的相关性（rho），2）受风险因子影响的概率的依赖性，假设是一个逻辑函数，并由上下四分位数之间的风险比（RR）总结，3）亲属之间的疾病关联，表示为比值比。对于一个危险因素，比值比在0.001-0.1的范围内几乎与疾病频率无关，并且在对数尺度上与rho近似线性相关。如果rho = 1和RR = 9，如果rho = 0.6和RR = 20，或者如果rho = 0.3和RR = 100，则亲属之间的比值比约为2。对于具有相同风险比和ρ的两个独立风险因素，所得的比值比超过1，大约是只有一个风险因素时的两倍。也就是说，即使疾病的中度家族聚集性也与存在一个或多个强烈的家族（遗传和/或环境）风险因素相一致。该模型的插图进行了讨论。
Correlation between relatives in one or more risk factors for a disease will contribute to the risk in relatives of an affected individual, irrespective of the cause(s) of the correlation. In this paper, a model is proposed to quantify the relation between 1) the correlation (rho)) between a random pair of relatives in a quantitative risk factor, 2) the dependence of the probability of being affected on a risk factor, assumed to be a logistic function and summarized by a risk ratio (RR) between upper and lower quartiles, and 3) the resultant disease association between relatives, represented as an odds ratio. For one risk factor, the odds ratio is almost independent of disease frequency across the range 0.001-0.1, and is approximately linearly related to rho on a logarithmic scale. An odds ratio between relatives of about 2 occurs if rho = 1 and RR = 9, if rho = 0.6 and RR = 20, or if rho = 0.3 and RR = 100. For two independent risk factors with the same risk ratio and rho, the resultant odds ratio exceeds unity by about twice as much as when there is one risk factor. That is, even moderate familial aggregation of a disease is consistent with there being one or more strong familial (genetic and/or environmental) risk factors. Illustrations of the model are discussed.