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BGmisc: An R Package for Extended Behavior Genetics Analysis
S Mason Garrison1, Michael D Hunter2, Xuanyu Lyu1,3,4
1Department of Psychology, Wake Forest University, North Carolina, USA.
Journal of Open Source Software
|July 31, 2025
Summary
Behavior genetics research uses complex family structures to understand gene-environment interactions. The BGmisc tool simplifies analyzing these intricate behavioral genetics datasets for diverse family types.
Area of Science:
- Behavioral genetics
- Quantitative genetics
- Human behavioral biology
Background:
- Twin studies are traditional in behavior genetics for understanding genetic and environmental influences.
- Recent research incorporates complex family designs like children-of-twins (CoT) and mother-daughter-aunt-niece (MDAN) studies.
- These advanced designs provide richer insights but pose data analysis challenges.
Purpose of the Study:
- To introduce BGmisc, a software package designed to simplify the analysis of complex family data in behavior genetics.
- To provide a flexible tool for researchers studying gene-environment interplay across various family structures.
Main Methods:
- The study presents the BGmisc software package.
- BGmisc offers functions to manage and analyze data from diverse family structures, including twins and extended pedigrees.
- The package is designed for ease of use and adaptability to different research needs.
Main Results:
- BGmisc effectively accommodates complex family structures, simplifying data analysis.
- The software supports a range of family sizes and relationship types.
- This facilitates more detailed investigation into behavioral traits.
Conclusions:
- BGmisc enhances the analytical capabilities for behavior genetics research.
- The tool supports the growing trend towards complex family designs.
- It aids researchers in disentangling genetic and environmental contributions to behavior.
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