Multivariate Cholesky models of human female fertility patterns in the NLSY.

Multivariate Cholesky models of human female fertility patterns in the NLSY.
复制标题

NLSY 中人类女性生育模式的多元 Cholesky 模型。

DOI:
10.1007/s10519-006-9137-9
复制
发表时间:
2007
期刊:
影响因子:
2.6
通讯作者:
Miller,WarrenB
Miller,WarrenB
中科院分区:
医学3区
文献类型:
--
作者:
Rodgers,JosephLee;Bard,DavidE;Miller,WarrenB

文献摘要

相似文献

现在有大量证据表明,衡量人类生育结果或与之相关的变量具有可遗传成分。在这项研究中,我们定义了一系列年龄顺序的生育变量,并采用多元模型来解释潜在的共同遗传和环境差异来源。我们根据Ury[(1996)低生育率社会的生物社会模型]发展的理论进行预测。收录于:Casterline,JB,Lee Rd,Foote Ka(合编):美国的生育:新模式,新理论。人口理事会,纽约]表明,生物/遗传动机可以更容易地实现和衡量,在提供生育选择的环境中。乌德里的理论,连同分子遗传学的原理和生活史理论的某些原则,使我们能够对不同年龄的生物识别模式做出具体的预测。与预测一致的是,我们的结果表明,与晚年相比,早年对生育差异的遗传影响有不同的来源,但只有一个共同的环境影响来源发生在早年。这些模式暗示了基因-基因和基因-环境相互作用的类型,我们必须对这些类型进行解释,以更好地理解生育结果的个体差异。
Substantial evidence now exists that variables measuring or correlated with human fertility outcomes have a heritable component. In this study, we define a series of age-sequenced fertility variables, and fit multivariate models to account for underlying shared genetic and environmental sources of variance. We make predictions based on a theory developed by Udry [(1996) Biosocial models of low-fertility societies. In: Casterline, JB, Lee RD, Foote KA (eds) Fertility in the United States: new patterns, new theories. The Population Council, New York] suggesting that biological/genetic motivations can be more easily realized and measured in settings in which fertility choices are available. Udry’s theory, along with principles from molecular genetics and certain tenets of life history theory, allow us to make specific predictions about biometrical patterns across age. Consistent with predictions, our results suggest that there are different sources of genetic influence on fertility variance at early compared to later ages, but that there is only one source of shared environmental influence that occurs at early ages. These patterns are suggestive of the types of gene–gene and gene–environment interactions for which we must account to better understand individual differences in fertility outcomes.