Evidence map›Paper›PMID 33965196›Full record

ArticleBiological psychiatry2021

Developmental Profile of Psychiatric Risk Associated With Voltage-Gated Cation Channel Activity.

Nicholas E Clifton, Leonardo Collado-Torres, Emily E Burke, Antonio F Pardiñas, Janet C Harwood, Arianna Di Florio, James T R Walters, Michael J Owen, Michael C O'Donovan, Daniel R Weinberger and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Biological psychiatry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 10% of its field
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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Protein-Altering Variants' Analysis in Autism Subgroups Uncovers Early Brain-Expressed Gene Modules Relevant to Autism Pathophysiology.Autism research : official journal of the International Society for Autism Research · 2025
    Article
  5. Article
  6. Article
  7. CACNA1C (CaNeuropharmacology · 2022
    Review
  8. Article
  9. Review
  10. Review
  11. The relationship between case-control differential gene expression from brain tissue and genetic associations in schizophrenia.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 2 institutions in 2 countries.

Nicholas E CliftonNeuroscience and Mental Health Research Institute, Cardiff University, Cardiff, United Kingdom; MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, United Kingdom. Electronic address: cliftonne@cardiff.ac.uk.
Leonardo Collado-TorresLieber Institute for Brain Development, Johns Hopkins University Medical Campus, Baltimore, Maryland; Centre for Computational Biology, Johns Hopkins University Medical Campus, Baltimore, Maryland.
Emily E BurkeLieber Institute for Brain Development, Johns Hopkins University Medical Campus, Baltimore, Maryland.
Antonio F PardiñasMRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, United Kingdom.
Janet C HarwoodMRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, United Kingdom.
Arianna Di FlorioMRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, United Kingdom.
James T R WaltersMRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, United Kingdom.
Michael J OwenNeuroscience and Mental Health Research Institute, Cardiff University, Cardiff, United Kingdom; MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, United Kingdom.
Michael C O'DonovanMRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, United Kingdom.
Daniel R WeinbergerLieber Institute for Brain Development, Johns Hopkins University Medical Campus, Baltimore, Maryland; Departments of Psychiatry, Neurology, Neuroscience and Genetic Medicine, Johns Hopkins School of Medicine, Baltimore, Maryland.
Peter A HolmansMRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, United Kingdom.
Andrew E JaffeLieber Institute for Brain Development, Johns Hopkins University Medical Campus, Baltimore, Maryland; Centre for Computational Biology, Johns Hopkins University Medical Campus, Baltimore, Maryland; Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland. Electronic address: andrew.jaffe@libd.org.
Jeremy HallNeuroscience and Mental Health Research Institute, Cardiff University, Cardiff, United Kingdom; MRC Centre for Neuropsychiatric Genetics and Genomics, Division of Psychological Medicine and Clinical Neurosciences, Cardiff University, Cardiff, United Kingdom.
Cardiff University · GBJohns Hopkins University · US

Funding

Medical Research Council G0800509Medical Research Council MR/L010305/1Medical Research Council MR/R011397/1Wellcome Trust
6 · The paper itself

Abstract

backgroundRecent breakthroughs in psychiatric genetics have implicated biological pathways onto which genetic risk for psychiatric disorders converges. However, these studies do not reveal the developmental time point(s) at which these pathways are relevant.

methodsWe aimed to determine the relationship between psychiatric risk and developmental gene expression relating to discrete biological pathways. We used postmortem RNA sequencing data (BrainSeq and BrainSpan) from brain tissue at multiple prenatal and postnatal time points, with summary statistics from recent genome-wide association studies of schizophrenia, bipolar disorder, and major depressive disorder. We prioritized gene sets for overall enrichment of association with each disorder and then tested the relationship between the association of their constituent genes with their relative expression at each developmental stage.

resultsWe observed relationships between the expression of genes involved in voltage-gated cation channel activity during early midfetal, adolescence, and early adulthood time points and association with schizophrenia and bipolar disorder, such that genes more strongly associated with these disorders had relatively low expression during early midfetal development and higher expression during adolescence and early adulthood. The relationship with schizophrenia was strongest for the subset of genes related to calcium channel activity, while for bipolar disorder, the relationship was distributed between calcium and potassium channel activity genes.

conclusionsOur results indicate periods during development when biological pathways related to the activity of calcium and potassium channels may be most vulnerable to the effects of genetic variants conferring risk for psychiatric disorders. Furthermore, they indicate key time points and potential targets for disorder-specific therapeutic interventions.

Indexed as

Bipolar DisorderMajor Depressive DisorderSchizophreniaAdultCationsGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansCationsBrain developmentDorsolateral prefrontal cortexGenome-wide association studiesPsychiatric disordersTranscriptomeVoltage-gated cation channel activity

Identifiers

PMID33965196
PMCPMC8375582
OpenAlexW3137291091

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.