Аннотация:Significance Heritability is a fundamental metric in population genetics. Existing heritability models lump together stable effects (e.g., due to the subject’s unique environment) and transient effects, such as measurement error. This can result in misleading assessments when comparing the heritability of traits that exhibit different levels of reliability. This paper presents a heritability estimation strategy that can account for transient intrasubject variation using repeat measurements. Using the proposed method, we show that the stable components of functional connectivity within and across well-established large-scale brain networks can be considerably heritable. With the explosive expansion of genomics, health informatics, and digital phenotyping technologies, the proposed model will be significant in dissecting the genetic basis of a wide range of informative but noisy phenotypes.
