Phenoscreening: a developmental approach to research domain criteria-motivated sampling.

ABSTRACT:

Background

To advance early identification efforts, we must detect and characterize neurodevelopmental sequelae of risk among population-based samples early in development. However, variability across the typical-to-atypical continuum and heterogeneity within and across early emerging psychiatric/neurodevelopmental disorders represent fundamental challenges to overcome. Identifying multidimensionally determined profiles of risk, agnostic to DSM categories, via data-driven computational approaches represents an avenue to improve early identification of risk.

Methods

Factor mixture modeling (FMM) was used to identify subgroups and characterize phenotypic risk profiles, derived from multiple parent-report measures of typical and atypical behaviors common to autism spectrum diso

SUBMITTER: Doyle CM 

PROVIDER: S-EPMC11221542 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature