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Twin Analyses Without Zygosity Information: The Promise and Pitfalls of the Normal Finite-Mixture-Distribution Twin Model

2026-07-20

Abstract excerpt

<p>Twin designs offer a powerful framework for disentangling genetic and environmental sources of individual differences, but require zygosity information that is often unavailable. When zygosity is unknown, analyses may still be possible using a normal finite-mixture-distribution model. This model assumes that the bivariate twin phenotype is normally distributed within each zygosity group, an assumption that cann...

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Literature Corpus work
cd8844f4-6856-5d8f-97fd-872e169b6b0e
DOI
10.31234/osf.io/rkxgp_v3
Open publication

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Twin Analyses Without Zygosity Information: The Promise and Pitfalls of the Normal Finite-Mixture-Distribution Twin ModelDOI 10.31234/osf.io/rkxgp_v3
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