Rice T K, Borecki I B
Division of Biostatistics, Washington University School of Medicine, St. Louis, Missouri 63110, USA.
Adv Genet. 2001;42:35-44. doi: 10.1016/s0065-2660(01)42013-x.
Familial resemblance, which arises when members within families are more similar than are unrelated pairs of individuals, may be estimated in terms of correlations (or covariances) among family members. The magnitudes of such correlations generally reflect both the extent of environmental sharing and the degree of biological relationship between the relatives. Heritability, or more appropriately multifactorial heritability or generalized heritability, quantifies the strength of the familial resemblance and represents the percentage of variance ina trait that is due to all additive familial effects including additive genetic effects and those of the familial environment. However, the traditional concept of heritability, which may be more appropriately called the genetic heritability, represents only the percentage of phenotypic variance due to additive genetic effects. Resolving the sources of familial resemblance entails other issues. For example, there may be major gene effects that may be largely or entirely nonadditive, temporal or developmental trends, and gene-gene (epistasis) and gene-environment interactions. The design of a family study determines which of these sources are resolvable. For example, in intact nuclear families consisting of parents and offspring, the genetic and familial environmental effects are not resolvable because these relatives share both genes and environments. However, extended pedigrees and twin and adoption study designs allow separation of the heritable effects and, possibly, more complex etiologies, including interactions. Various factors affect the estimation and interpretability of heritability, for example, assumptions regarding linearity and additivity of the effects, assortative mating, and the underlying distribution of the data. Nonnormality of the data can lead to errors in hypothesis testing, although it yields reasonably unbiased estimates. Fortunately, these and other complications can be directly modeled in many of the sophisticated software packages available today in genetic epidemiology.
家族相似性是指家族成员之间比非亲属个体对更为相似,可通过家族成员间的相关性(或协方差)来估计。这种相关性的大小通常既反映了环境共享的程度,也反映了亲属间的生物学关系程度。遗传力,或者更确切地说是多因素遗传力或广义遗传力,量化了家族相似性的强度,代表了一个性状中由于所有加性家族效应(包括加性基因效应和家族环境效应)导致的方差百分比。然而,传统的遗传力概念,可能更恰当地称为基因遗传力,仅代表由于加性基因效应导致的表型方差百分比。解决家族相似性的来源还涉及其他问题。例如,可能存在主要基因效应,这些效应可能在很大程度上或完全是非加性的、存在时间或发育趋势,以及基因 - 基因(上位性)和基因 - 环境相互作用。家族研究的设计决定了这些来源中哪些是可解析的。例如,在由父母和后代组成的完整核心家庭中,基因和家族环境效应是无法解析的,因为这些亲属既共享基因又共享环境。然而,扩展的谱系以及双胞胎和收养研究设计允许分离遗传效应,并且可能分离更复杂的病因,包括相互作用。各种因素会影响遗传力的估计和可解释性,例如,关于效应的线性和加性的假设、选型交配以及数据的潜在分布。数据的非正态性可能导致假设检验中的错误,尽管它会产生合理无偏的估计。幸运的是,在当今遗传流行病学中可用的许多复杂软件包中,可以直接对这些及其他复杂情况进行建模。