Evidence map›Paper›PMID 36949060›Full record

ArticleTranslational psychiatry2023

BrainGENIE: The Brain Gene Expression and Network Imputation Engine.

Jonathan L Hess, Thomas P Quinn, Chunling Zhang, Gentry C Hearn, Samuel Chen, Neuropsychiatric Consortium for Analysis and Sharing of Transcriptomes, Sek Won Kong, Murray Cairns, Ming T Tsuang, Stephen V Faraone and 1 more

Registry-linked trialFull text read
In one paragraph

Article in Translational psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06112093 (Using Repetitive Transcranial Magnetic Stimulation to Manage Headaches and Improve Rehabilitation Outcomes in Mild Traumatic Brain Injury), which is not on this map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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.

NCT06112093 phase1recruitingnot on this map

Using Repetitive Transcranial Magnetic Stimulation to Manage Headaches and Improve Rehabilitation Outcomes in Mild Traumatic Brain Injury: A Longitudinal Study

TypeinterventionalSponsorState University of New York - Upstate Medical UniversityRan2023 to 2027Enrolled60ConditionsBrain Concussion, Mild Traumatic Brain Injury, Headache, Post-Concussion SymptomsArmsRepetitive Transcranial Magnetic Stimulation, Sham Repetitive Transcranial Magnetic Stimulation
3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. A twin analysis to estimate genetic and environmental factors contributing to variation in weighted gene co-expression network module eigengenes.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2025
    Article
  7. 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

11 authors.

Jonathan L HessDepartment of Psychiatry & Behavioral Sciences, Norton College of Medicine at SUNY Upstate Medical University, Syracuse, NY, USA.ORCID 0000-0001-8406-632X
Thomas P QuinnApplied Artificial Intelligence Institute (A2I2), Deakin University, Geelong, Australia.
Chunling ZhangDepartment of Neuroscience & Physiology, Norton College of Medicine at SUNY Upstate Medical University, Syracuse, NY, USA.
Gentry C HearnDepartment of Neuroscience & Physiology, Norton College of Medicine at SUNY Upstate Medical University, Syracuse, NY, USA.
Samuel ChenDepartment of Psychiatry & Behavioral Sciences, Norton College of Medicine at SUNY Upstate Medical University, Syracuse, NY, USA.
Neuropsychiatric Consortium for Analysis and Sharing of Transcriptomes
Sek Won KongComputational Health Informatics Program, Boston Children's Hospital, Boston, MA, USA.ORCID 0000-0003-4877-7567
Murray CairnsSchool of Biomedical Sciences & Pharmacy, Faculty of Health, The University of Newcastle, New South Wales, Callaghan, New South Wales, Australia.ORCID 0000-0003-2490-2538
Ming T TsuangCenter for Behavioral Genomics, Department of Psychiatry, Institute for Genomic Medicine, University of California, San Diego, La Jolla, CA, USA.ORCID 0000-0002-0076-5340
Stephen V FaraoneDepartment of Psychiatry & Behavioral Sciences, Norton College of Medicine at SUNY Upstate Medical University, Syracuse, NY, USA.
Stephen J GlattDepartment of Psychiatry & Behavioral Sciences, Norton College of Medicine at SUNY Upstate Medical University, Syracuse, NY, USA. stephen.glatt@psychgenelab.com.ORCID 0000-0002-0360-7567

Funding

The VETSA Longitudinal Twin Study of Cognition and Aging (VETSA 4)R01AG050595 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ELMAN, JEREMY A, FRANZ, CAROL ELAINE · 2015 to 2024
$28.0M
The VETSA Longitudinal MRI Twin Study of Aging (VETSA MRI 4)R01AG076838 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ANDERS M DALE, Jeremy A Elman · 2022 to 2026
$8.7M
SLE Treatment with N-acetylcysteineU01AR076092 · NIAMS · UPSTATE MEDICAL UNIVERSITY · PI Michael P McDermott, Andras Perl · 2020 to 2026
$7.9M
Discoveries in ADHD genomics: Help or hype in clinical settings?R01MH116037 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI DOYLE, ALYSA E · 2019 to 2023
$4.4M
Genetic Predictors, Transcriptomic Biomarkers, & Neurobiological Signatures of Resilience to Alzheimer's DiseaseR01AG064955 · NIA · UPSTATE MEDICAL UNIVERSITY · PI FENNEMA-NOTESTINE, CHRISTINE, GLATT, STEPHEN J · 2019 to 2023
$3.8M
LIMBIC &MEDULLARY MECH. IN COCAINE-RELATED SUDDEN DEATHR01DA006227 · NIDA · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI MASH, DEBORAH C. · 1990 to 2012
$3.7M
Longitudinal Family/Molecular Genetic Study to Validate Research Domain CriteriaR01MH101519 · NIMH · UPSTATE MEDICAL UNIVERSITY · PI FARAONE, STEPHEN V, GLATT, STEPHEN J · 2014 to 2018
$3.5M
Biorepository of iPSC lines from diverse rat strains for regenerative medicine researchR24OD024622 · OD · MCLEAN HOSPITAL · PI KIM, KWANG-SOO, KONG, SEK WON · 2018 to 2021
$3.4M
Gene Expression Biomarkers for Early Identification of Mild Cognitive Impairment: A Twin StudyR01AG054002 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI GLATT, STEPHEN J, TSUANG, MING T. · 2016 to 2019
$2.7M
Methods for high-resolution analysis of genetic effects on gene expressionR01MH101814 · NIMH · UNIVERSITY OF GENEVA · PI BUSTAMANTE, CARLOS DANIEL, DERMITZAKIS, EMMANOUIL · 2013 to 2016
$2.3M
Harnessing GTEx to Create Transcriptome Knowledge and Inform Disease BiologyR01MH101820 · NIMH · UNIVERSITY OF CHICAGO · PI COX, NANCY J, NICOLAE, DAN LIVIU · 2013 to 2015
$2.3M
An environment-wide association study in autism spectrum disorders using novel bioinformatics methods and metabolomics via mass spectrometryR01MH107205 · NIMH · BOSTON CHILDREN'S HOSPITAL · PI KONG, SEK WON · 2015 to 2019
$2.1M
CCR NIH HHS HHSN261200800001CNCI NIH HHS HHSN261200800001ENHLBI NIH HHS HHSN268201000029CNIAMS NIH HHS U01 AR076092NIA NIH HHS R01 AG050595NIA NIH HHS R01 AG054002NIA NIH HHS R01 AG064955NIA NIH HHS R01 AG076838NIDA NIH HHS R01 DA006227NIH HHS R24 OD024622NIMH NIH HHS R01 MH090936NIMH NIH HHS R01 MH090937NIMH NIH HHS R01 MH090941NIMH NIH HHS R01 MH090948NIMH NIH HHS R01 MH090951NIMH NIH HHS R01 MH101519NIMH NIH HHS R01 MH101782NIMH NIH HHS R01 MH101810NIMH NIH HHS R01 MH101814NIMH NIH HHS R01 MH101819NIMH NIH HHS R01 MH101820NIMH NIH HHS R01 MH101822NIMH NIH HHS R01 MH101825NIMH NIH HHS R01 MH107205NIMH NIH HHS R01 MH116037NIMH NIH HHS R21 MH126494NINDS NIH HHS R01 NS128535
6 · The paper itself

Abstract

In vivo experimental analysis of human brain tissue poses substantial challenges and ethical concerns. To address this problem, we developed a computational method called the Brain Gene Expression and Network-Imputation Engine (BrainGENIE) that leverages peripheral-blood transcriptomes to predict brain tissue-specific gene-expression levels. Paired blood-brain transcriptomic data collected by the Genotype-Tissue Expression (GTEx) Project was used to train BrainGENIE models to predict gene-expression levels in ten distinct brain regions using whole-blood gene-expression profiles. The performance of BrainGENIE was compared to PrediXcan, a popular method for imputing gene expression levels from genotypes. BrainGENIE significantly predicted brain tissue-specific expression levels for 2947-11,816 genes (false-discovery rate-adjusted p < 0.05), including many transcripts that cannot be predicted significantly by a transcriptome-imputation method such as PrediXcan. BrainGENIE recapitulated measured diagnosis-related gene-expression changes in the brain for autism, bipolar disorder, and schizophrenia better than direct correlations from blood and predictions from PrediXcan. We developed a convenient software toolset for deploying BrainGENIE, and provide recommendations for how best to implement models. BrainGENIE complements and, in some ways, outperforms existing transcriptome-imputation tools, providing biologically meaningful predictions and opening new research avenues.

Indexed as

Gene Expression ProfilingGenome-Wide Association StudyBrainGenotypeHumansTranscriptome

Identifiers

PMID36949060
PMCPMC10033657

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Registered trials

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.