The role of mother's and child's self-regulation on bidirectional links between harsh parenting and child externalizing problems.

The authors examined task-based (i.e., executive function), surveyed (i.e., effortful control), and physiological (i.e., resting cardiac respiratory sinus arrhythmia [RSA]) measures of child and maternal regulation as distinct moderators of longitudinal bidirectional links between child externalizing (EXT) behaviors and harsh parenting (HP) from 6 to 9 years. The sample size was 299 (50.9% female; 1% Asian, 4% multiple races; 14% Black; 78% White), and participants were recruited in the United States (a rural college town in Virginia and a midsized city in North Carolina). Higher child EXT at 6 years predicted higher HP at 7-8 years, which predicted higher EXT at 9 years. Also, this path was moderated by 6-year child effortful control, 6-year resting RSA, and 9-year executive function. In contrast, there was no moderating effect of any measure of maternal regulation. Findings suggest it is important to consider child self-regulation when examining bidirectionality in parent and child effects for HP and child EXT. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Mouse Genome Informatics: an integrated knowledgebase system for the laboratory mouse.

Mouse Genome Informatics (MGI) is a federation of expertly curated information resources designed to support experimental and computational investigations into genetic and genomic aspects of human biology and disease using the laboratory mouse as a model system. The Mouse Genome Database (MGD) and the Gene Expression Database (GXD) are core MGI databases that share data and system architecture. MGI serves as the central community resource of integrated information about mouse genome features, variation, expression, gene function, phenotype, and human disease models acquired from peer-reviewed publications, author submissions, and major bioinformatics resources. To facilitate integration and standardization of data, biocuration scientists annotate using terms from controlled metadata vocabularies and biological ontologies (e.g. Mammalian Phenotype Ontology, Mouse Developmental Anatomy, Disease Ontology, Gene Ontology, etc.), and by applying international community standards for gene, allele, and mouse strain nomenclature. MGI serves basic scientists, translational researchers, and data scientists by providing access to FAIR-compliant data in both human-readable and compute-ready formats. The MGI resource is accessible at https://informatics.jax.org. Here, we present an overview of the core data types represented in MGI and highlight recent enhancements to the resource with a focus on new data and functionality for MGD and GXD.