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In ref. 1 we demonstrated that lumping together stable effects (e.g., unique environment) and transient effects (e.g., measurement error) in heritability analysis can be problematic when comparing traits with different levels of heritability. In particular, the conventional approach that averages repeat measurements (denoted ash   avg   2    ) underestimates the heritability of a trait in the presence of biological transients. We proposed a linear mixed-effects model that leverages repeat measurements to explicitly account for intra- and intersubject variation of … [↵][1]1To whom correspondence should be addressed. Email: tge1{at}mgh.harvard.edu. [1]: #xref-corresp-1-1

Reply to Risk and Zhu: Mixed-effects modeling as a principled approach to heritability analysis with repeat measurements