Nina Roth Mota

This paper investigates the shared genetic architecture of psychiatric and insulin resistance conditions using multivariate GWAS and identifies potential biological mechanisms and drug candidates.

This study links genetic liability to psychiatric disorders with quality of life outcomes in children and adults, finding ADHD and MDD PGSs significantly associated with lower quality of life factors.

This study identifies shared genetic factors between psychiatric and insulin-related traits using genomic structural equation modeling and multivariate genome-wide association analyses.

This study examines genetic liability for psychiatric disorders using disorder-specific and transdiagnostic frameworks, finding that depression PRS is associated with multiple disorders and uncovering four functional domains aligning with RDoC.

The paper investigates genetic overlaps between neuropsychiatric disorders and insulin-related diseases, finding significant genetic correlations and suggesting potential clusters of disorders with divergent pleiotropic effects.

This study uses community detection to identify subgroups in ASD based on subcortical brain volumes, revealing more homogeneous groups with enhanced case/control differences.

This study identifies genetic variants associated with antisocial behavior through a genome-wide association meta-analysis, finding significant links to FOXP2 and correlations with multiple health and behavioral traits.

This study identifies neuroanatomic subgroups in ADHD using subcortical volumes, finding distinct patterns in males but not females.

This study identifies nine new genetic loci associated with ADHD and shows shared genetic architecture between childhood and adult ADHD.

This study identifies ADHD risk genes by linking ID-related genes to ADHD through common variants and validates their role in Drosophila behavior.

This study identifies dopaminergic signaling as a genetic link between ADHD and obesity through genome-wide analyses and brain volume associations.

This study identifies genetic variants associated with sociability as a continuous trait and finds genetic correlations with schizophrenia, major depressive disorder, and autism spectrum disorders.

RICOPILI is a Perl-based pipeline for efficient GWAS analysis, including quality control, imputation, and meta-analysis, with automated parallelization for rapid data processing.

The paper identifies genetic correlations between ADHD and brain volumes, finding negative associations with intracranial volume and specific brain regions.