Evidence map›Paper›PMID 41076565›Full record

ArticleGenetics in medicine : official journal of the American College of Medical Genetics2025

Common and rare genetic variants explain distinct diagnostic variance in pediatric attention deficit hyperactivity disorder.

Anne B Arnett, Ryan Koesterer, Paulina Gonzalez Tovar, Mia O'Connell, Soleha Patel, Han Zhang, Courtney E French, Shira Rockowitz, Jason Flannick, Ryan Doan

Abstract read
In one paragraph

Article in Genetics in medicine : official journal of the American College of Medical Genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Article
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

10 authors.

Anne B ArnettDivision of Developmental Medicine, Boston Children's Hospital, Brookline, MA; Department of Pediatrics, Harvard Medical School, Boston, MA; Department of Psychiatry, Harvard Medical School, Boston, MA. Electronic address: anne.arnett@childrens.harvard.edu.
Ryan KoestererThe Broad Institute, Cambridge, MA.
Paulina Gonzalez TovarDivision of Genetics and Genomics, Boston Children's Hospital, Boston, MA.
Mia O'ConnellDivision of Genetics and Genomics, Boston Children's Hospital, Boston, MA.
Soleha PatelDivision of Genetics and Genomics, Boston Children's Hospital, Boston, MA.
Han ZhangThe Broad Institute, Cambridge, MA; Children's Rare Disease Collaborative, Boston Children's Hospital, Boston, MA.
Courtney E FrenchChildren's Rare Disease Collaborative, Boston Children's Hospital, Boston, MA.
Shira RockowitzDivision of Genetics and Genomics, Boston Children's Hospital, Boston, MA; Children's Rare Disease Collaborative, Boston Children's Hospital, Boston, MA; The Manton Center for Orphan Disease Research, Boston Children's Hospital, Boston, MA.
Jason FlannickThe Broad Institute, Cambridge, MA; Division of Genetics and Genomics, Boston Children's Hospital, Boston, MA.
Ryan DoanDepartment of Pediatrics, Harvard Medical School, Boston, MA; Division of Genetics and Genomics, Boston Children's Hospital, Boston, MA.

Funding

Instrumenting the Delivery System for a Genomics Research Information CommonsU01TR002623 · NCATS · BOSTON CHILDREN'S HOSPITAL · PI MANDL, KENNETH D. · 2019 to 2024
$8.6M
Advancing Understanding of Genomic Mechanisms for Primary ADHD in FamiliesRF1MH137118 · NIMH · BOSTON CHILDREN'S HOSPITAL · PI Anne Bernard Arnett, Ryan Neil Doan · 2026 to 2026
$2.6M
Advancing Understanding of Genomic Mechanisms for Primary ADHD in FamiliesR01MH137118 · NIMH · BOSTON CHILDREN'S HOSPITAL · PI ARNETT, ANNE BERNARD, DOAN, RYAN NEIL · 2024 to 2025
$1.6M
Neurophysiologically Defined Subtypes of ADHDR00MH116064 · NIMH · BOSTON CHILDREN'S HOSPITAL · PI ARNETT, ANNE BERNARD · 2021 to 2023
$884k
NCATS NIH HHS U01 TR002623NIMH NIH HHS R00 MH116064NIMH NIH HHS R01 MH137118NIMH NIH HHS RF1 MH137118
6 · The paper itself

Abstract

purposePediatric attention deficit hyperactivity disorder (ADHD, OMIM 143465) is highly heritable, yet the genetic architecture of the condition remains poorly understood. This study tested the hypothesis that rare and common genetic variants reflect distinct genetic pathways to ADHD.

methodsGenome sequencing was completed for 150 pediatric ADHD cases and 370 controls. ADHD polygenic scores were derived and compared across 5 methods, including 2 published genome-wide association studies and 2 publicly available catalogs. Likely pathogenic rare variants were identified with a previously published customized annotation and classification pipeline followed by manual curation using established American College of Medical Genetics and Genomics variant interpretation guidelines.

resultsADHD cases had higher ADHD polygenic scores and lower IQ polygenic scores. Likely pathogenic variants for ADHD were identified in 13% of cases and 0.5% of controls. ADHD polygenic scores among cases without rare variants were higher than cases carrying rare variants. ADHD cases were predicted by ADHD and IQ polygenic scores, ancestry, and rare variant status with 70% area under the curve.

conclusionThe genetic etiology of ADHD is likely multifactorial, with independent contributions from common and rare variants. Genome-wide association studies of ADHD may have increased power to detect common genetic loci if individuals with rare variants are excluded.

Indexed as

Attention Deficit Disorder with HyperactivityGenetic VariationAdolescentCase-Control StudiesChildFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMaleMultifactorial InheritancePolymorphism, Single NucleotideADHDGeneticsGenomicsPolygenic riskRare variants

Identifiers

PMID41076565
PMCPMC12637209

What OpenQuestion holds

Textmetadata
LicenceTDM
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.