Published January 7, 2024 | Version v1
Journal article Open

Mapping potential pathways from polygenic liability through brain structure to psychological problems across the transition to adolescence

  • 1. University of Chicago
  • 2. Vanderbilt University
  • 3. Rutgers University
  • 4. SUNY Downstate Health Sciences University
  • 5. University of Pennsylvania

Description

Background: We used a polygenic score for externalizing behavior (extPGS) and structural MRI to examine potential pathways from genetic liability to conduct problems via the brain across the adolescent transition.

Methods: Three annual assessments of child conduct problems, attention-deficit/hyperactivity problems, and internalizing problems were conducted across across 9-13 years of age among 4,475 children of European ancestry in the Adolescent Brain Cognitive DevelopmentSM Study (ABCD Study®).

Results: The extPGS predicted conduct problems in each wave (R2 = 2.0%-2.9%). Bifactor models revealed that the extPRS predicted variance specific to conduct problems (R2 = 1.7%-2.1%), but also variance that conduct problems shared with other measured problems (R2 = .8%-1.4%). Longitudinally, extPGS predicted levels of specific conduct problems (R2 = 2.0%), but not their slope of change across age. The extPGS was associated with total gray matter volume (TGMV; R2 = .4%) and lower TGMV predicted both specific conduct problems (R2 = 1.7%-2.1%) and the variance common to all problems in each wave (R2 = 1.6%-3.1%). A modest proportion of the polygenic liability specific to conduct problems in each wave was statistically mediated by TGMV.

Conclusions: Across the adolescent transition, the extPGS predicted both variance specific to conduct problems and variance shared by all measured problems. The extPGS also was associated with TGMV, which robustly predicted conduct problems. Statistical mediation analyses suggested the hypothesis that polygenic variation influences individual differences in brain development that are related to the likelihood of conduct problems during the adolescent transition, justifying new research to test this causal hypothesis.

Data availability

Data used in the preparation of this article are obtained from the Adolescent Brain Cognitive DevelopmentSM (ABCD) Study (https://abcdstudy.org), held in the NIMH Data Archive (NDA). This is a multisite, longitudinal study designed to recruit more than 10,000 children age 9–10 and follow them over 10 years into early adulthood. The ABCD Study® is supported by the National Institutes of Health and additional federal partners under award numbers U01DA041048, U01DA050989, U01DA051016, U01DA041022, U01DA051018, U01DA051037, U01DA050987, U01DA041174, U01DA041106, U01DA041117, U01DA041028, U01DA041134, U01DA050988, U01DA051039, U01DA041156, U01DA041025, U01DA041120, U01DA051038, U01DA041148, U01DA041093, U01DA041089, U24DA041123, and U24DA041147. A full list of supporters is available at https://abcdstudy.org/federal-partners.html. A listing of participating sites and a complete listing of the study investigators can be found at https://abcdstudy.org/consortium_members/. ABCD consortium investigators designed and implemented the study and/or provided data but did not necessarily participate in the analysis or writing of this report. This manuscript reflects the views of the authors and may not reflect the opinions or views of the NIH or ABCD consortium investigators. The ABCD data repository grows and changes over time. The ABCD data used in this report came from RRID: SCR_015769, DOI 10.15154/1523041 (data release 4.0) and NDA study DOI 10.15154/1527791. DOIs can be found at https://nda.nih.gov/abcd/study-information. The Externalizing Consortium has been supported by the National Institute on Alcohol Abuse and Alcoholism (R01AA015416 – administrative supplement to DMD), and the National Institute on Drug Abuse (R01DA050721 to DMD). Additional funding for investigator effort has been provided by K02AA018755, U10AA008401, and P50AA022537, as well as a European Research Council Consolidator Grant (647,648 EdGe to Koellinger). The content is solely the responsibility of the authors and does not necessarily represent the official views of the above funding bodies. The Externalizing Consortium would like to thank the following groups for making the research possible: 23andMe, Add Health, Vanderbilt University Medical Center's BioVU, Collaborative Study on the Genetics of Alcoholism (COGA), the Psychiatric Genomics Consortium's Substance Use Disorders working group, UK10K Consortium, UK Biobank, and Philadelphia Neurodevelopmental Cohort. More details about the Externalizing Consortium can be found at Externalizing.org.

Files

Mapping-potential-pathways-from-polygenic-liability.pdf

Files (873.6 kB)

Name Size Download all
md5:84b09d0827780c30af884a52e876aac0
138.1 kB Download
Article
md5:30427cd824acc4b0e225523d2c740bb5
735.5 kB Preview Download

Additional details

Identifiers

DOI
10.1111/jcpp.13944
Other
oai:uchicago.tind.io:10350

Funding

National Institute on Drug Abuse
UG3DA045251
National Institute of Mental Health
R01MH098098
National Institute of Mental Health
R01MH117014
National Institute of Mental Health
R00MH117274
National Institute of Mental Health
T32MH18921
National Center for Advancing Translational Sciences
UL1TR000430
National Center for Advancing Translational Sciences
UL1TR000445
Brain & Behavior Research Foundation
Young Investigator Grant
Sloan Research Fellowship
American Psychological Foundation
David H. and Beverly A. Barlow grant
University of Pennsylvania
Lifespan Brain Institute
National Science Foundation
Graduate Research Fellowship Program

UChicago Information

Division(s)
Biological Sciences Division
Department(s)
Public Health Sciences