Garrison S Mason, Hunter Michael D, Lyu Xuanyu, Trattner Jonathan D, Burt S Alexandra
Department of Psychology, Wake Forest University, North Carolina, USA.
Department of Human Development and Family Studies, Pennsylvania State University, Pennsylvania, USA.
J Open Source Softw. 2024;9(94). doi: 10.21105/joss.06203. Epub 2024 Feb 24.
Behavior genetics is a field that studies how our genes and environment contribute to differences in behavior and traits among individuals. Traditionally, twin studies have long been a cornerstone of this field, helping researchers understand how genetics influence behavior. Recently, the focus has expanded to include studies with more complex family structures, e.g., children of twins (CoT, D'Onofrio et al., 2003) and mother-daughter-aunt-niece (MDAN, Rodgers, Bard, Johnson, D'Onofrio, & Miller, 2008). These broader studies offer more detailed insights into how our genes and environment shape us, but they also make analyzing and organizing the data more complex. BGmisc simplifies the analysis of these complex data structures by offering a comprehensive suite of functions for accommodating families of any size, from twins to extensive pedigrees.
行为遗传学是一个研究我们的基因和环境如何导致个体间行为和特征差异的领域。传统上,双胞胎研究长期以来一直是该领域的基石,帮助研究人员了解基因如何影响行为。最近,研究重点已扩大到包括具有更复杂家庭结构的研究,例如双胞胎的子女(CoT,多诺弗里奥等人,2003年)以及母女 - 姨妈 - 侄女(MDAN,罗杰斯、巴德、约翰逊、多诺弗里奥和米勒,2008年)。这些更广泛的研究为我们的基因和环境如何塑造我们提供了更详细的见解,但它们也使数据的分析和整理变得更加复杂。BGmisc通过提供一套全面的函数来简化对这些复杂数据结构的分析,这些函数可适应任何规模的家庭,从双胞胎到庞大的谱系。