Evidence map›Paper›PMID 34294919›Full record

ArticleNature neuroscience2021

Coexpression network architecture reveals the brain-wide and multiregional basis of disease susceptibility.

Christopher L Hartl, Gokul Ramaswami, William G Pembroke, Sandrine Muller, Greta Pintacuda, Ashis Saha, Princy Parsana, Alexis Battle, Kasper Lage, Daniel H Geschwind

Abstract read
In one paragraph

Article in Nature neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 1 pooled it
–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

51 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  7. Alpha psychiatry · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Christopher L HartlInterdepartmental Program in Bioinformatics, University of California, Los Angeles, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0003-3352-4356
Gokul RamaswamiProgram in Neurogenetics, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.
William G PembrokeProgram in Neurogenetics, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.
Sandrine MullerBroad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID http://orcid.org/0000-0001-5998-3003
Greta PintacudaBroad Institute of MIT and Harvard, Cambridge, MA, USA.
Ashis SahaDepartment of Computer Science, Johns Hopkins University, Baltimore, MD, USA.
Princy ParsanaDepartment of Computer Science, Johns Hopkins University, Baltimore, MD, USA.
Alexis BattleDepartment of Computer Science, Johns Hopkins University, Baltimore, MD, USA.
Kasper LageBroad Institute of MIT and Harvard, Cambridge, MA, USA.ORCID http://orcid.org/0000-0001-6827-6239
Daniel H GeschwindProgram in Neurogenetics, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA. dhg@mednet.ucla.edu.ORCID http://orcid.org/0000-0003-2896-3450

Funding

UCLA IDDRC: Translational CoreP50HD103557 · NICHD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HARLEY IAN KORNBLUM · 2020 to 2026
$9.6M
1/2 Cross modal integration of molecular and physiological networks in ASDU01MH115746 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI GESCHWIND, DANIEL H, MEHTA, MAYANK R · 2017 to 2021
$5.3M
2/3 Integrative Genomic Analysis of Human Brain Development and AutismR01MH110927 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI GESCHWIND, DANIEL H · 2016 to 2019
$2.7M
1/3 Building integrative CNS networks for genomic analysis of autismR01MH109912 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI GESCHWIND, DANIEL H · 2016 to 2020
$2.6M
2/3 Building Integrative CNS Networks for Genomic Analysis of AutismR01MH109903 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI HANSEN, KASPER LAGE · 2016 to 2020
$1.4M
From genetic risk variants to convergent protein networks: an integrative approach to elucidate the causal molecular mechanisms of schizophrenia.U01MH121499 · NIMH · BROAD INSTITUTE, INC. · PI HANSEN, KASPER LAGE · 2020 to 2020
$829k
Systems level integration of genetic, transcriptomic, and epigenomic data in autismF32MH114620 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI RAMASWAMI, GOKUL · 2018 to 2019
$111k
NICHD NIH HHS P50 HD103557NIMH NIH HHS F32 MH114620NIMH NIH HHS R01 MH109903NIMH NIH HHS R01 MH109912NIMH NIH HHS R01 MH110927NIMH NIH HHS U01 MH115746NIMH NIH HHS U01 MH121499
6 · The paper itself

Abstract

Gene networks have yielded numerous neurobiological insights, yet an integrated view across brain regions is lacking. We leverage RNA sequencing in 864 samples representing 12 brain regions to robustly identify 12 brain-wide, 50 cross-regional and 114 region-specific coexpression modules. Nearly 40% of genes fall into brain-wide modules, while 25% comprise region-specific modules reflecting regional biology, such as oxytocin signaling in the hypothalamus, or addiction pathways in the nucleus accumbens. Schizophrenia and autism genetic risk are enriched in brain-wide and multiregional modules, indicative of broad impact; these modules implicate neuronal proliferation and activity-dependent processes, including endocytosis and splicing, in disease pathophysiology. We find that cell-type-specific long noncoding RNA and gene isoforms contribute substantially to regional synaptic diversity and that constrained, mutation-intolerant genes are primarily enriched in neurons. We leverage these data using an omnigenic-inspired network framework to characterize how coexpression and gene regulatory networks reflect neuropsychiatric disease risk, supporting polygenic models.

Indexed as

BrainGene Expression ProfilingGene Regulatory NetworksGenetic Predisposition to DiseaseHumansMental DisordersTranscriptome

Identifiers

PMID34294919
PMCPMC10263365

What OpenQuestion holds

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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.