Evaluating gene by sex and age interactions on cardiovascular risk factors in Brazilian families.
Evaluating gene by sex and age interactions on cardiovascular risk factors in Brazilian families.
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DOI：
10.1186/1471-2350-11-132
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发表时间：
2010-09-20
影响因子：
--
通讯作者：
Soler JP
中科院分区：
文献类型：
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作者：
Giolo SR;Pereira AC;de Andrade M;Krieger JE;Soler JP
在家系研究中，评估基因和环境因素对感兴趣的性状的影响是很重要的。特别是，基因和环境的相对影响可能在感兴趣的种群的不同阶层中有所不同，例如年轻人和老年人，或者男性和女性。本文利用扩展的方差分量模型来评估性别和年龄(青年和老年人之间的分界线为43岁)引起的遗传和环境方差分量的异质性。分析的数据来自Baependi家庭心脏研究的81个巴西家庭(1675个人)。允许性别差异分量的模型表明，在男性和女性中，舒张压、低密度脂蛋白-胆固醇和高密度脂蛋白-胆固醇的遗传和环境差异没有差异，与模型中包括的协变量无关。然而，对于收缩压、空腹血糖和甘油三酯，异质性的证据依赖于模型中的协变量。例如，在存在性别和年龄协变量的情况下，空腹血糖的遗传方差分量存在异质性。但是，对于收缩压，两个方差分量中的任何一个都没有异质性的证据。除低密度脂蛋白-胆固醇外，允许年龄异质性的模型提供了甘油三酯、收缩压和舒张压的遗传方差异质性的证据。有证据表明，空腹血糖和高密度脂蛋白-胆固醇的环境差异具有异质性。我们的结果表明，在涉及这些性状的基因寻找研究的设计和分析中，性状方差的异质性不应被忽视，因为它可能产生关于基因效应的额外信息，并允许研究更复杂的模型，如包括性别特异性寡基因方差成分的模型。
In family studies, it is important to evaluate the impact of genes and environmental factors on traits of interest. In particular, the relative influences of both genes and the environment may vary in different strata of the population of interest, such as young and old individuals, or males and females. In this paper, extensions of the variance components model are used to evaluate heterogeneity in the genetic and environmental variance components due to the effects of sex and age (the cutoff between young and old was 43 yrs). The data analyzed were from 81 Brazilian families (1,675 individuals) of the Baependi Family Heart Study. The models allowing for heterogeneity of variance components by sex suggest that genetic and environmental variances are not different in males and females for diastolic blood pressure, LDL-cholesterol, and HDL-cholesterol, independent of the covariates included in the models. However, for systolic blood pressure, fasting glucose and triglycerides, the evidence for heterogeneity was dependent on the covariates in the model. For instance, in the presence of sex and age covariates, heterogeneity in the genetic variance component was suggested for fasting glucose. But, for systolic blood pressure, there was no evidence of heterogeneity in any of the two variance components. Except for the LDL-cholesterol, models allowing for heterogeneity by age provide evidence of heterogeneity in genetic variance for triglycerides and systolic and diastolic blood pressure. There was evidence of heterogeneity in environmental variance in fasting glucose and HDL-cholesterol. Our results suggest that heterogeneity in trait variances should not be ignored in the design and analyses of gene-finding studies involving these traits, as it may generate additional information about gene effects, and allow the investigation of more sophisticated models such as the model including sex-specific oligogenic variance components.