Evidence map›Paper›PMID 41757170›Full record

ArticlemedRxiv : the preprint server for health sciences2026

Multi-tissue transcriptome-wide association study identifies 29 risk genes associated with attention-deficit/hyperactivity disorder.

Sarina Abrishamcar, Qile Dai, Jingjing Yang, Anke Hüls, Michael P Epstein

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Sarina AbrishamcarDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA.ORCID 0000-0001-9478-7374
Qile DaiDepartment of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA.
Jingjing YangCenter for Computational and Quantitative Genetics, Department of Human Genetics, Emory University School of Medicine, Atlanta, GA, USA.ORCID 0000-0002-4191-4138
Anke HülsDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA.
Michael P EpsteinCenter for Computational and Quantitative Genetics, Department of Human Genetics, Emory University School of Medicine, Atlanta, GA, USA.ORCID 0000-0001-9647-9738

Funding

Graduate and Postdoctoral Training in ToxicologyT32ES012870 · NIEHS · EMORY UNIVERSITY · PI Carmen Joseph Marsit · 2004 to 2026
$9.1M
IMPACT-ADRD: Investigating the Multi-omics Perturbations Associated with Complex Environmental Toxicants and their Contribution to Alzheimer's Disease and Related DementiasU01AG088425 · NIA · EMORY UNIVERSITY · PI Anke Huels, Donghai Liang · 2024 to 2026
$6.8M
Quantitative Genetic Models for Exploring Missing Heritability of Alzheimer's DiseaseRF1AG071170 · NIA · EMORY UNIVERSITY · PI CUTLER, DAVID JOSEPH, EPSTEIN, MICHAEL PHILIP · 2020 to 2020
$2.9M
Novel Bayesian statistical tools for integrating multi-omics data to help elucidate the genomic etiology of complex phenotypesR35GM138313 · NIGMS · EMORY UNIVERSITY · PI YANG, JINGJING · 2020 to 2024
$1.9M
Investigating Cis- and Trans-Genetic Regulation of Brain Transcriptomics and Proteomics Associated with AD/ADRDR01AG089703 · NIA · EMORY UNIVERSITY · PI Jingjing Yang · 2025 to 2026
$1.0M
The Joint Effects of Prenatal Pesticide Exposure and Psychosocial Factors on Epigenetic Age Trajectories and Child Psychopathology in a South African Birth CohortF31ES037540 · NIEHS · EMORY UNIVERSITY · PI ABRISHAMCAR, SARINA · 2025 to 2025
$50k
NIA NIH HHS R01 AG089703NIA NIH HHS RF1 AG071170NIA NIH HHS U01 AG088425NIEHS NIH HHS F31 ES037540NIEHS NIH HHS T32 ES012870NIGMS NIH HHS R35 GM138313
6 · The paper itself

Abstract

Background: Attention-deficit/hyperactivity disorder (ADHD) is a common heritable neurodevelopmental disorder, affecting ~7 million children (11.4%) in the U.S. However, ADHD's underlying genetic architecture remains largely unknown. Transcriptome-wide association studies (TWAS), which integrate expression quantitative trait loci (eQTL) and GWAS summary data, can identify differentially expressed risk genes underlying complex phenotypes. Here we conduct a TWAS of ADHD using expression data from multiple brain tissues to improve understanding of the complex genetic architecture underlying this psychopathology. Methods: We applied the TWAS framework OTTERS to train multiple gene expression imputation models using cis-eQTL summary statistics from MetaBrain for three brain regions: cortex (n=2,683), basal ganglia (n=208), and cerebellum (n=492), and GWAS summary statistics from the most recent meta-analysis of ADHD (n=225,534; case fraction =0.17). We further conducted fine-mapping, colocalization analysis, and functional enrichment analysis. Results: We identified 29 significant TWAS risk genes for ADHD (11 in cortex, 4 in basal ganglia, and 14 in cerebellum). Six genes appear novel for ADHD ( Conclusion: This multi-tissue TWAS refines the genetic architecture of ADHD by identifying genes whose genetically regulated expression is associated with risk, including six candidates not previously linked to ADHD. Together, these findings provide novel insights for potential targets in translational research and drug discovery.

Indexed as

Attention-deficit/hyperactivity-disorder (ADHD)brain tissueexpression quantitative trait loci (eQTL)genetically regulated gene expression (GReX)multi-tissue analysistranscriptome-wide association study (TWAS)

Identifiers

PMID41757170
PMCPMC12934864

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.