Evidence map›Paper›PMID 32372008›Full record

ArticleMolecular psychiatry2021

A structural brain network of genetic vulnerability to psychiatric illness.

Maxime Taquet, Stephen M Smith, Anna K Prohl, Jurriaan M Peters, Simon K Warfield, Benoit Scherrer, Paul J Harrison

Abstract read
In one paragraph

Article in Molecular psychiatry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 3 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

27 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  10. A rare variant inProceedings of the National Academy of Sciences of the United States of America · 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

7 authors.

Maxime TaquetDepartment of Psychiatry, University of Oxford, Oxford, UK. maxime.taquet@medsci.ox.ac.uk.ORCID http://orcid.org/0000-0002-8987-952X
Stephen M SmithWellcome Centre for Integrative Neuroimaging (WIN FMRIB), University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0001-8166-069X
Anna K ProhlComputational Radiology Laboratory, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.
Jurriaan M PetersComputational Radiology Laboratory, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.
Simon K WarfieldComputational Radiology Laboratory, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0002-7659-3880
Benoit Scherrer *Computational Radiology Laboratory, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.
Paul J Harrison *Department of Psychiatry, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0002-6719-1126

Funding

Mouse Neurodevelopmental Behavior CoreU54HD090255 · NICHD · BOSTON CHILDREN'S HOSPITAL · PI POMEROY, SCOTT LOREN · 2016 to 2020
$5.2M
Improved Motion Robust MRI of ChildrenR01EB019483 · NIBIB · BOSTON CHILDREN'S HOSPITAL · PI WARFIELD, SIMON K · 2015 to 2024
$3.9M
MRI Biomarkers of Patients with Tuberous Sclerosis Complex and AutismR01NS079788 · NINDS · BOSTON CHILDREN'S HOSPITAL · PI WARFIELD, SIMON K · 2013 to 2017
$3.6M
Prospective/Retrospective Motion Correction System for Motion Robust Pediatric MRIR44MH086984 · NIMH · ROBIN MEDICAL, INC. · PI NEVO, EREZ, WARFIELD, SIMON K · 2016 to 2018
$2.4M
Acquisition of a Siemens 3T MRI for Research ImagingS10OD025111 · OD · BOSTON CHILDREN'S HOSPITAL · PI WARFIELD, SIMON K · 2018 to 2018
$2.0M
Department of HealthMedical Research Council MC_PC_17215NIBIB NIH HHS R01 EB019483NICHD NIH HHS U54 HD090255NIH HHS S10 OD025111NIMH NIH HHS R44 MH086984NINDS NIH HHS R01 NS079788Wellcome Trust 098369
6 · The paper itself

Abstract

Psychiatry is undergoing a paradigm shift from the acceptance of distinct diagnoses to a representation of psychiatric illness that crosses diagnostic boundaries. How this transition is supported by a shared neurobiology remains largely unknown. In this study, we first identify single nucleotide polymorphisms (SNPs) associated with psychiatric disorders based on 136 genome-wide association studies. We then conduct a joint analysis of these SNPs and brain structural connectomes in 678 healthy children in the PING study. We discovered a strong, robust, and transdiagnostic mode of genome-connectome covariation which is positively and specifically correlated with genetic risk for psychiatric illness at the level of individual SNPs. Similarly, this mode is also significantly positively correlated with polygenic risk scores for schizophrenia, alcohol use disorder, major depressive disorder, a combined bipolar disorder-schizophrenia phenotype, and a broader cross-disorder phenotype, and significantly negatively correlated with a polygenic risk score for educational attainment. The resulting "vulnerability network" is shown to mediate the influence of genetic risks onto behaviors related to psychiatric vulnerability (e.g., marijuana, alcohol, and caffeine misuse, perceived stress, and impulsive behavior). Its anatomy overlaps with the default-mode network, with a network of cognitive control, and with the occipital cortex. These findings suggest that the brain vulnerability network represents an endophenotype funneling genetic risks for various psychiatric illnesses through a common neurobiological root. It may form part of the neural underpinning of the well-recognized but poorly explained overlap and comorbidity between psychiatric disorders.

Indexed as

Bipolar DisorderMajor Depressive DisorderMental DisordersBrainGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMultifactorial Inheritance

Identifiers

PMID32372008
PMCPMC7644622

What OpenQuestion holds

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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.