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一项关于理解基因对体型和代谢率影响的双胞胎研究方法。

A twin study approach towards understanding genetic contributions to body size and metabolic rate.

作者信息

Hewitt J K, Stunkard A J, Carroll D, Sims J, Turner J R

机构信息

Department of Human Genetics, Medical College of Virginia, Richmond.

出版信息

Acta Genet Med Gemellol (Roma). 1991;40(2):133-46. doi: 10.1017/s0001566000002567.

Abstract

The genetic and environmental determinants of a brief assessment of metabolic rate at rest and under psychological stress were studied in 40 pairs of monozygotic and 40 pairs of dizygotic young adult male twins. Height, weight and age were employed as covariates. Univariate analyses showed a high heritability for height and weight and moderate heritability for metabolic rate. Classical twin analyses and multivariate genetic modeling indicated that genetic influences on resting metabolic rate were entirely explained by body weight: there was no independent genetic contribution to resting metabolic rate. Metabolic rate under psychological stress, on the other hand, showed a significant genetic effect. The exponent (3/4) in the power function relating body weight to resting metabolic rate was the same as that found in a wide variety of animal species, a value that has been proposed as defining a body weight set point. We speculate that an adult body weight set point is genetically transmitted. Independent genetic effects on resting metabolic rate would be observed only when the normal equilibrium between body weight and metabolic rate is unbalanced during development, aging or disease. The study illustrates the use of multivariate genetic analyses of twin data which may be readily applied to widely used metabolic rate assessments.

摘要

在40对同卵和40对异卵年轻成年男性双胞胎中,研究了静息和心理应激状态下代谢率简短评估的遗传和环境决定因素。身高、体重和年龄用作协变量。单变量分析显示身高和体重的遗传度较高,代谢率的遗传度中等。经典双胞胎分析和多变量遗传模型表明,对静息代谢率的遗传影响完全由体重解释:对静息代谢率没有独立的遗传贡献。另一方面,心理应激下的代谢率显示出显著的遗传效应。体重与静息代谢率相关的幂函数中的指数(3/4)与在多种动物物种中发现的指数相同,该值已被提议作为定义体重设定点。我们推测成年体重设定点是通过基因传递的。只有当体重与代谢率之间的正常平衡在发育、衰老或疾病期间失衡时,才会观察到对静息代谢率的独立遗传效应。该研究说明了双胞胎数据多变量遗传分析的应用,这种分析可很容易地应用于广泛使用的代谢率评估。

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