Evidence map›Paper›PMID 32066674›Full record

ArticleTranslational psychiatry2020

Large epigenome-wide association study of childhood ADHD identifies peripheral DNA methylation associated with disease and polygenic risk burden.

Michael A Mooney, Peter Ryabinin, Beth Wilmot, Priya Bhatt, Jonathan Mill, Joel T Nigg

Open access · goldAbstract read
In one paragraph

Article in Translational psychiatry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 5 pooled it
8.9field-weighted citation impact, top 1% 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

52 citing papers in PubMed, 5 syntheses or guidelines pooled it, 90 citations in OpenAlex.

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  14. Rare Variant Analyses in Ancestrally Diverse Cohorts Reveal Novel ADHD Risk Genes.medRxiv : the preprint server for health sciences · 2025
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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

6 authors at 3 institutions in 2 countries.

Michael A Mooney *Division of Bioinformatics & Computational Biology, Department of Medical Informatics & Clinical Epidemiology, Oregon Health & Science University, Portland, OR, USA.ORCID http://orcid.org/0000-0003-1372-8722
Peter Ryabinin *Oregon Clinical and Translational Research Institute, Portland, OR, USA.
Beth Wilmot *Division of Bioinformatics & Computational Biology, Department of Medical Informatics & Clinical Epidemiology, Oregon Health & Science University, Portland, OR, USA.ORCID http://orcid.org/0000-0003-3579-3592
Priya BhattDivision of Psychology, Department of Psychiatry, Oregon Health & Science University, Portland, OR, USA.
Jonathan MillUniversity of Exeter Medical School, Exeter University, Exeter, UK.ORCID http://orcid.org/0000-0003-1115-3224
Joel T NiggDivision of Psychology, Department of Psychiatry, Oregon Health & Science University, Portland, OR, USA. niggj@ohsu.edu.
Oregon Health & Science University · USOregon Research Institute · USUniversity of Exeter · GB

Funding

Oregon Clinical and Translational Research Institute - The National COVID Cohort Collaborative (N3C)UL1TR002369 · NCATS · OREGON HEALTH & SCIENCE UNIVERSITY · PI Cynthia D Morris, Christopher G. Slatore · 2017 to 2026
$78.4M
ADHD heterogeneity, mechanisms, and risk profileR37MH059105 · NIMH · OREGON HEALTH & SCIENCE UNIVERSITY · PI NIGG, JOEL T · 2014 to 2023
$7.0M
ADHD biotypes using genetic and imaging approachesR01MH099064 · NIMH · OREGON HEALTH & SCIENCE UNIVERSITY · PI NIGG, JOEL T · 2013 to 2017
$3.2M
NCATS NIH HHS UL1 TR002369NIMH NIH HHS R01 MH099064NIMH NIH HHS R37 MH059105U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH) R01MH099064
6 · The paper itself

Abstract

Epigenetic variation in peripheral tissues is being widely studied as a molecular biomarker of complex disease and disease-related exposures. To date, few studies have examined differences in DNA methylation associated with attention-deficit hyperactivity disorder (ADHD). In this study, we profiled genetic and methylomic variation across the genome in saliva samples from children (age 7-12 years) with clinically established ADHD (N = 391) and nonpsychiatric controls (N = 213). We tested for differentially methylated positions (DMPs) associated with both ADHD diagnosis and ADHD polygenic risk score, by using linear regression models including smoking, medication effects, and other potential confounders in our statistical models. Our results support previously reported associations between ADHD and DNA methylation levels at sites annotated to VIPR2, and identify several novel disease-associated DMPs (p < 1e-5), although none of them were genome-wide significant. The two top-ranked, ADHD-associated DMPs (cg17478313 annotated to SLC7A8 and cg21609804 annotated to MARK2) are also significantly associated with nearby SNPs (p = 1.2e-46 and p = 2.07e-59), providing evidence that disease-associated DMPs are under genetic control. We also report a genome-wide significant association between ADHD polygenic risk and variable DNA methylation at a site annotated to the promoter of GART and SON (p = 6.71E-8). Finally, we show that ADHD-associated SNPs colocalize with SNPs associated with methylation levels in saliva. This is the first large-scale study of DNA methylation in children with ADHD. Our results represent novel epigenetic biomarkers for ADHD that may be useful for patient stratification, reinforce the importance of genetic effects on DNA methylation, and provide plausible molecular mechanisms for ADHD risk variants.

Indexed as

Attention Deficit Disorder with HyperactivityChildDNA MethylationEpigenomeGenome-Wide Association StudyHumansMultifactorial Inheritance

Identifiers

PMID32066674
PMCPMC7026179
OpenAlexW3001853670

What OpenQuestion holds

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Registered trials

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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.