Evidence map›Paper›PMID 33492530›Full record

SynthesisResearch on child and adolescent psychopathology2021

Polygenic Scores for ADHD: A Meta-Analysis.

James J Li, Quanfa He

Abstract readMeta-AnalysisReview
PubMed Publisher
In one paragraph

Synthesis in Research on child and adolescent psychopathology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
5.0field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 40 citations in OpenAlex.

  1. Common and rare genetic variants explain distinct diagnostic variance in pediatric attention deficit hyperactivity disorder.Genetics in medicine : official journal of the American College of Medical Genetics · 2025
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  13. Annual Research Review: Perspectives on progress in ADHD science - from characterization to cause.Journal of child psychology and psychiatry, and allied disciplines · 2023
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 2 institutions in 1 country.

James J LiDepartment of Psychology, University of Wisconsin, Madison, WI, USA. james.li@wisc.edu.
Quanfa HeDepartment of Psychology, University of Wisconsin, Madison, WI, USA.ORCID http://orcid.org/0000-0001-8031-7216
James Madison University · USUniversity of Wisconsin–Madison · US

Funding

Waisman Intellectual and Developmental Disabilities Research Center Down Syndrome RegistryU54HD090256 · NICHD · UNIVERSITY OF WISCONSIN-MADISON · PI CHANG, QIANG · 2016 to 2020
$6.0M
NICHD NIH HHS U54 HD090256
6 · The paper itself

Abstract

Attention-deficit/hyperactivity disorder (ADHD) is a highly heritable neurodevelopmental disorder that is known to have a polygenic (i.e., many genes of individually small effects) architecture. Polygenic scores (PGS), which characterize this polygenicity as a single score for a given individual, are considered the state-of-the-art in psychiatric genetics research. Despite the proliferation of ADHD studies adopting this approach and its clinical implications, remarkably little is known about the predictive utility of PGS in ADHD research to date, given that there have not yet been any systematic or meta-analytic reviews of this rapidly developing literature. We meta-analyzed 12 unique effect sizes from ADHD PGS studies, yielding an N = 40,088. These studies, which included a mixture of large population-based cohorts and case-control samples of predominantly European ancestry, yielded a pooled ADHD PGS effect size of r

Indexed as

Attention Deficit Disorder with HyperactivityHumansMultifactorial InheritanceADHDGenome-wide association studyMeta-analysisPolygenic scoresPsychiatric genetics

Identifiers

PMID33492530
OpenAlexW3124250451

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.