Unique prediction of developmental psychopathology from genetic and familial risk

Bibliographic Data

ID21344531
AuthorsRobert Loughnan (0000-0003-4870-4501, University of California San Diego, corresponding author), Robert J Loughnan (Population Neuroscience and Genetics University of California San Diego La Jolla CA USA), Clare E Palmer (0000-0001-8079-4071, Center for Human Development University of California San Diego La Jolla CA USA), Carolina Makowski (0000-0002-8816-4549, Department of Radiology University of California San Diego School of Medicine La Jolla CA USA), Wesley K Thompson (0000-0002-1148-1976, Population Neuroscience and Genetics University of California San Diego La Jolla CA USA), Deanna M Barch (0000-0003-1693-8506, Psychological & Brain Sciences, Psychiatry and Radiology Washington University in St. Louis St. Louis MO USA), Terry L Jernigan (0000-0002-2011-9370, Center for Human Development University of California San Diego La Jolla CA USA), Angela M Dale (0000-0002-6126-2966, University of California San Diego), Anders M Dale (Department of Radiology University of California San Diego School of Medicine La Jolla CA USA), Chun Chieh Fan (0000-0002-5289-9447, Population Neuroscience and Genetics University of California San Diego La Jolla CA USA)
Year2022
Volume63
Issue12
Pages1631-1643
Publication date2022-12-01
Open AccessYes
TypeARTICLE
VenueJournal of Child Psychology and Psychiatry (JOURNAL)
Journal identifiersISSN: 0021-9630 • E-ISSN: 1469-7610
PublisherWiley (PUBLISHER • GB)
DOI10.1111/jcpp.13649
PMID35764363
OpenAlexW4283709787
LanguageEN
References cited51

Background Early detection is critical for easing the rising burden of psychiatric disorders. However, the specificity of psychopathological measurements and genetic predictors is unclear among youth. Methods We measured associations between genetic risk for psychopathology (polygenic risk scores (PRS) and family history (FH) measures) and a wide range of behavioral measures in a large sample ( n = 5,204) of early adolescent participants (9–11 years) from the Adolescent Brain and Cognitive Development Study SM . Associations were measured both with and without accounting for shared variance across measures of genetic risk. Results When controlling for genetic risk for other psychiatric disorders, polygenic risk for problematic opioid use (POU) is uniquely associated with lower behavioral inhibition. Attention deficit hyperactivity disorder (ADHD), depression (DEP), and attempted suicide (SUIC) PRS shared many significant associations with externalizing, internalizing, and psychosis‐related behaviors. However, when accounting for all measures of genetic and familial risk, these PRS also showed clear, unique patterns of association. Polygenic risk for ASD, BIP, and SCZ, and attempted suicide uniquely predicted variability in cognitive performance. FH accounted for unique variability in behavior above and beyond PRS and vice versa, with FH measures explaining a greater proportion of unique variability compared to the PRS. Conclusion Our results indicate that, among youth, many behaviors show shared genetic influences; however, there is also specificity in the profile of emerging psychopathologies for individuals with high genetic risk for particular disorders. This may be useful for quantifying early, differential risk for psychopathology in development

Cognition · Conduct disorder · Developmental psychology · Polygenic risk score · Psychiatry · Psychopathology · Psychosis · Schizophrenia (object-oriented programming) · Single-nucleotide polymorphism · Attention Deficit Hyperactivity Disorder · Clinical Psychology · Cognitive Abilities and Testing · Genetics · Neurotransmitter Receptor Influence on Behavior · Psychology

Tools

Open DOIOpen Access