Comparing factor and network models of cognitive abilities using twin data

Intelligence, Journal Year: 2024, Volume and Issue: 104, P. 101833 - 101833

Published: April 9, 2024

Network models have become a popular alternative to factor for analysing the phenotypic relationships among cognitive abilities. Studies begun compare these directly one another using ability data, although such comparison has so far not extended genetics. Our aim with this study was therefore and network of abilities first at level then genetic level. We analyzed data from Twins Early Development Study that were collected 14 measures 11,290 twins in UK aged 12 years old. conducted analyses which numerous tested, including novel twin model. Factor both provided useful representations Surprisingly, several within networks negative, suggests might share some variants inverse effects, more research is currently needed confirm this. Implications future genomic are discussed.

Language: Английский

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Advancing transdiagnostic data analytics using knowledge graphs

Biomarkers in Neuropsychiatry, Journal Year: 2025, Volume and Issue: 12, P. 100122 - 100122

Published: Feb. 1, 2025

Language: Английский

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Polygenic Risk Underlies Youth Psychopathology and Personalized Functional Brain Network Topography

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 26, 2024

Abstract Importance Functional brain networks are associated with both behavior and genetic factors. To uncover clinically translatable mechanisms of psychopathology, it is critical to define how the spatial organization these relates risk during development. Objective determine relationship between transdiagnostic polygenic scores (PRSs), personalized functional (PFNs), overall psychopathology (p-factor) early adolescence. Design The Adolescent Brain Cognitive Development (ABCD) Study⍰ an ongoing longitudinal cohort study 21 collection sites across United States. Here, we conduct a cross-sectional analysis ABCD baseline data, collected 2017-2018. Setting Study ® multi-site community-based study. Participants sample largely recruited through school systems. Exclusion criteria included severe sensory, intellectual, medical, or neurological issues that interfere protocol scanner contraindications. Split-half subsets were used for cross-validation, matched on age, ethnicity, family structure, handedness, parental education, site, sex, anesthesia exposure. Exposures Polygenic factors F1 (PRS-F1) F2 (PRS-F2) derived from adults in Psychiatric Genomic Consortium UK Biobanks datasets. PRS-F1 indexes liability common psychiatric symptoms disorders related mood disturbance; PRS-F2 rarer forms mental illness characterized by mania psychosis. Main Outcomes Measures (1) P-factor bifactor models youth- parent-reported health assessments. (2) Person-specific network topography magnetic resonance imaging (fMRI) scans. Results Total participants 11,873 youths ages 9-10 years old; 5,678 (47.8%) female, mean (SD) age was 9.92 (0.62) years. PFN found be heritable ( N =7,459, 57.06% vertices h 2 p FDR <0.05, =0.35). p-factor =5,815, r =0.12, 95% CI [0.09–0.15], p<0.001). Interindividual differences =0.12), =3,982, =0.05), =0.08). Cortical maps regression coefficients highly correlated =0.7, =0.003). Conclusions Relevance adulthood These results advance our understanding developmental drivers psychopathology. Key Points Question What adolescence? Findings In this =11,873, 9-10), PRS p-factor, PRS-F1, (capturing adulthood) all robustly topography. Meaning

Language: Английский

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Early cognitive development and psychopathology in children at familial high risk for schizophrenia

Schizophrenia Research, Journal Year: 2024, Volume and Issue: 271, P. 262 - 270

Published: July 27, 2024

Language: Английский

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