Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Gene-Environment Interplay Beyond Interactions: Psychosocial Environments Mediate Genetic Effects Underlying Externalizing-Behavior Trajectories.

Clinical psychological science : a journal of the Association for Psychological Science·2026
Same author

Invariance and Construct Validity of HiTOP Dimensions Across Race and Ethnicity in the Adolescent Brain and Cognitive Development (ABCD) Study.

Assessment·2025
Same author

Self-Navigated, Retrospective, Data-Consistent Motion Correction for MPnRAGE.

Magnetic resonance in medicine·2025
Same author

Quality of Life in Autistic Children: Discrepancies Between Self- and Caregiver-Proxy Reports and Associations With Individual Characteristics.

Autism research : official journal of the International Society for Autism Research·2025
Same author

Weighing in: Clinician and Patient Perspectives on Discussions of Expected Body Weights in Eating Disorder Treatment.

The International journal of eating disorders·2025
Same author

Enhancing the discriminatory power of polygenic scores for ADHD and autism in clinical and non-clinical samples.

Journal of neurodevelopmental disorders·2025
Same journal

Reciprocal Pathways Linking Harsh Parenting and Conduct Problems in Early Childhood: The Mediating Role of Emotional Dysregulation.

Research on child and adolescent psychopathology·2026
Same journal

Children's Responses to Peer Conflict Scenarios: Feasibility and Initial Psychometric Properties of an Interactive Virtual Reality Assessment in a Clinical and Non-Clinical Sample.

Research on child and adolescent psychopathology·2026
Same journal

Longitudinal Evidence for Age- and Sex-Invariant Dimensions of Internalizing Symptoms from Childhood through Adolescence: Self-Worth, Social Anxiety, and Withdrawal.

Research on child and adolescent psychopathology·2026
Same journal

Dynamic Associations Between Negative Affect, Rumination, and Nonsuicidal Self-Injury in Daily Life: An Ecological Momentary Assessment Study of Adolescent Psychiatric Outpatients.

Research on child and adolescent psychopathology·2026
Same journal

School Bullying Involvement and Adolescent Depressive Mood: A Daily Diary Study.

Research on child and adolescent psychopathology·2026
Same journal

Low Self-Esteem Predicts Persistent Suicidal Ideation Across Adolescence and Young Adulthood: A 14-year Longitudinal Study.

Research on child and adolescent psychopathology·2026
See all related articles

Related Experiment Video

Updated: Nov 20, 2025

Event Related Potentials ERPs and other EEG Based Methods for Extracting Biomarkers of Brain Dysfunction: Examples from Pediatric Attention Deficit/Hyperactivity Disorder ADHD
10:02

Event Related Potentials ERPs and other EEG Based Methods for Extracting Biomarkers of Brain Dysfunction: Examples from Pediatric Attention Deficit/Hyperactivity Disorder ADHD

Published on: March 12, 2020

16.3K

Polygenic Scores for ADHD: A Meta-Analysis.

James J Li1,2,3, Quanfa He4,5

  • 1Department of Psychology, University of Wisconsin, Madison, WI, USA. james.li@wisc.edu.

Research on Child and Adolescent Psychopathology
|January 25, 2021
PubMed
Summary
This summary is machine-generated.

Polygenic scores (PGS) for attention-deficit/hyperactivity disorder (ADHD) reliably predict ADHD, accounting for up to 4% of the variance. This meta-analysis provides crucial insights into ADHD genetics and future research directions.

Keywords:
ADHDGenome-wide association studyMeta-analysisPolygenic scoresPsychiatric genetics

More Related Videos

The Adventures of Fundi Intervention Based on the Cognitive and Emotional Processing in Attention Deficit Hyperactive Disorder Patients
05:48

The Adventures of Fundi Intervention Based on the Cognitive and Emotional Processing in Attention Deficit Hyperactive Disorder Patients

Published on: June 12, 2020

6.1K
Using Brain Activation nir-HEG/Q-EEG and Execution Measures CPTs in a ADHD Assessment Protocol
13:09

Using Brain Activation nir-HEG/Q-EEG and Execution Measures CPTs in a ADHD Assessment Protocol

Published on: April 1, 2018

10.6K

Related Experiment Videos

Last Updated: Nov 20, 2025

Event Related Potentials ERPs and other EEG Based Methods for Extracting Biomarkers of Brain Dysfunction: Examples from Pediatric Attention Deficit/Hyperactivity Disorder ADHD
10:02

Event Related Potentials ERPs and other EEG Based Methods for Extracting Biomarkers of Brain Dysfunction: Examples from Pediatric Attention Deficit/Hyperactivity Disorder ADHD

Published on: March 12, 2020

16.3K
The Adventures of Fundi Intervention Based on the Cognitive and Emotional Processing in Attention Deficit Hyperactive Disorder Patients
05:48

The Adventures of Fundi Intervention Based on the Cognitive and Emotional Processing in Attention Deficit Hyperactive Disorder Patients

Published on: June 12, 2020

6.1K
Using Brain Activation nir-HEG/Q-EEG and Execution Measures CPTs in a ADHD Assessment Protocol
13:09

Using Brain Activation nir-HEG/Q-EEG and Execution Measures CPTs in a ADHD Assessment Protocol

Published on: April 1, 2018

10.6K

Area of Science:

  • Psychiatric Genetics
  • Neurodevelopmental Disorders
  • Quantitative Trait Genetics

Background:

  • Attention-deficit/hyperactivity disorder (ADHD) is a highly heritable neurodevelopmental disorder with a polygenic architecture.
  • Polygenic scores (PGS) are a state-of-the-art method in psychiatric genetics to summarize polygenicity into a single predictive score.
  • The predictive utility of PGS in ADHD research remains under-explored due to a lack of systematic reviews.

Purpose of the Study:

  • To systematically review and meta-analyze the predictive utility of polygenic scores (PGS) for attention-deficit/hyperactivity disorder (ADHD).
  • To quantify the overall effect size and variance explained by ADHD PGS across existing studies.
  • To provide recommendations for future research directions in leveraging PGS for ADHD.

Main Methods:

  • A meta-analysis was conducted on 12 unique effect sizes from ADHD PGS studies.
  • The meta-analysis included a total sample size of N = 40,088, comprising population-based cohorts and case-control samples.
  • Pooled effect sizes (random and fixed effects models) were calculated to estimate the predictive utility of ADHD PGS.

Main Results:

  • The pooled ADHD PGS effect size was r = 0.201 (random effects) and r = 0.190 (fixed effects).
  • ADHD PGS reliably account for 3.6% (fixed effects) to 4.0% (random effects) of the variance in broadly defined phenotypic ADHD.
  • The findings indicate a significant, albeit modest, predictive utility of current ADHD PGS.

Conclusions:

  • This meta-analysis confirms the reliable predictive utility of polygenic scores for ADHD, accounting for a notable proportion of phenotypic variance.
  • The results underscore the polygenic nature of ADHD and highlight the importance of PGS in psychiatric genetics.
  • Future research should focus on improving PGS by accounting for comorbidities, integrating bioinformatics for pathway elucidation, and testing mechanistic models of ADHD.