Evidence map›Paper›PMID 33969380›Full record

ReviewBriefings in functional genomics2021

Review of multi-omics data resources and integrative analysis for human brain disorders.

Xianjun Dong, Chunyu Liu, Mikhail Dozmorov

Abstract readReview
In one paragraph

Review in Briefings in functional genomics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Review
  2. Multi-omics approaches to major psychiatric disorders.Neuropsychiatrie : Klinik, Diagnostik, Therapie und Rehabilitation : Organ der Gesellschaft Osterreichischer Nervenarzte und Psychiater · 2026
    Review
  3. Review
  4. Review
  5. Can classical statistics and deep learning converge on explainable, causally driven target discovery?DNA research : an international journal for rapid publication of reports on genes and genomes · 2025
    Review
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  7. Review
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  9. Review
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  11. Review
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  15. Article
  16. Review
  17. Review
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  19. Review
  20. 3D genomics and its applications in precision medicine.Cellular & molecular biology letters · 2023
    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

3 authors.

Xianjun DongHarvard Medical School, head of the Genomics and Bioinformatics Hub at Brigham and Women's Hospital.
Chunyu LiuSUNY Upstate Medical University.
Mikhail DozmorovDepartment of Biostatistics, Virginia Commonwealth University.

Funding

2/2-Discovery and validation of neuronal enhancers associated with the development of psychiatric disordersU01MH116489 · NIMH · UNIVERSITY OF CHICAGO · PI GAYNOR, SOPHIA, GESCHWIND, DANIEL H · 2018 to 2022
$4.5M
Genetic variants affect brain gene expression and risks of psychiatric disordersU01MH103340 · NIMH · UPSTATE MEDICAL UNIVERSITY · PI LIU, CHUNYU, RZHETSKY, ANDREY · 2014 to 2017
$4.3M
1/2 Measuring translational dynamics and the proteome to identify potential brain biomarkers for psychiatric diseaseR01MH110920 · NIMH · UPSTATE MEDICAL UNIVERSITY · PI LIU, CHUNYU · 2016 to 2019
$2.0M
AI2AMP-PD: Accelerating Parkinsons Diagnosis using Multi-omics and Artificial IntelligenceU01NS120637 · NINDS · BRIGHAM AND WOMEN'S HOSPITAL · PI DONG, XIANJUN, SCHERZER, CLEMENS R · 2020 to 2020
$537k
Somatic Mutations in Brain in Alzheimer's DiseaseR21AG045789 · NIA · UNIVERSITY OF CHICAGO · PI FAULKNER, GEOFFREY JOHN, GERSHON, ELLIOT S · 2014 to 2015
$487k
1/3 High-resolution mapping of cell type-specific DNA (hydroxy)methylation in the human brain during postnatal development and in psychiatric disease.U01MH122591 · NIMH · UPSTATE MEDICAL UNIVERSITY · PI LIU, CHUNYU · 2020 to 2022
$483k
1/3 High-resolution mapping of cell type-specific DNA (hydroxy)methylation in the human brain during postnatal development and in psychiatric disease.R01MH122591 · NIMH · UPSTATE MEDICAL UNIVERSITY · PI LIU, CHUNYU · 2023 to 2024
$306k
NIA NIH HHS R21 AG045789NIMH NIH HHS R01 MH110920NIMH NIH HHS R01 MH122591NIMH NIH HHS U01 MH103340NIMH NIH HHS U01 MH116489NIMH NIH HHS U01 MH122591NINDS NIH HHS U01 NS120637
6 · The paper itself

Abstract

In the last decade, massive omics datasets have been generated for human brain research. It is evolving so fast that a timely update is urgently needed. In this review, we summarize the main multi-omics data resources for the human brains of both healthy controls and neuropsychiatric disorders, including schizophrenia, autism, bipolar disorder, Alzheimer's disease, Parkinson's disease, progressive supranuclear palsy, etc. We also review the recent development of single-cell omics in brain research, such as single-nucleus RNA-seq, single-cell ATAC-seq and spatial transcriptomics. We further investigate the integrative multi-omics analysis methods for both tissue and single-cell data. Finally, we discuss the limitations and future directions of the multi-omics study of human brain disorders.

Indexed as

Brain DiseasesTranscriptomeHumanshuman brainsintegrative analysismulti-omicsneuropsychiatric diseasessingle-cell omics

Identifiers

PMID33969380
PMCPMC8287916

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.