Evidence map›Paper›PMID 26966642›Full record

ArticlePeerJ2016

Genome-wide discovered psychosis-risk gene ZNF804A impacts on white matter microstructure in health, schizophrenia and bipolar disorder.

Emma-Jane Mallas, Francesco Carletti, Christopher A Chaddock, James Woolley, Marco M Picchioni, Sukhwinder S Shergill, Fergus Kane, Matthew P G Allin, Gareth J Barker, Diana P Prata

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
6.0field-weighted citation impact, top 4% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

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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

10 authors at 5 institutions in 2 countries.

Emma-Jane MallasDepartment of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, University of London, London, United Kingdom; Computational, Cognitive and Clinical Neuroimaging Laboratory, Division of Brain Sciences, Department of Medicine, Imperial College London, London, United Kingdom.
Francesco CarlettiDepartment of Neuroradiology, John Radcliffe Hospital, Oxford University Hospitals NHS Trust , Oxford , United Kingdom.
Christopher A ChaddockDepartment of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, University of London , London , United Kingdom.
James WoolleyPsychological Medicine, Royal Brompton & Harefield NHS Trust , London , United Kingdom.
Marco M PicchioniDepartment of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, University of London, London, United Kingdom; St Andrew's Academic Department, St Andrew's Healthcare, Northampton, United Kingdom.
Sukhwinder S ShergillDepartment of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, University of London , London , United Kingdom.
Fergus KaneDepartment of Psychology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, University of London , London , United Kingdom.
Matthew P G AllinDepartment of Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, University of London , London , United Kingdom.
Gareth J BarkerDepartment of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King's College London, University of London , London , United Kingdom.
Diana P PrataDepartment of Neuroimaging, Institute of Psychiatry, Psychology & Neuroscience, King's College London, University of London, London, United Kingdom; Instituto de Medicina Molecular, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal.
King's College London · GBUniversity of London · GBJohn Radcliffe Hospital · GBRoyal Brompton & Harefield NHS Foundation Trust · GBSt Andrew's Healthcare · GB

Funding

Department of Health PDF-2010-03-047
6 · The paper itself

Abstract

Background. Schizophrenia (SZ) and bipolar disorder (BD) have both been associated with reduced microstructural white matter integrity using, as a proxy, fractional anisotropy (FA) detected using diffusion tensor imaging (DTI). Genetic susceptibility for both illnesses has also been positively correlated in recent genome-wide association studies with allele A (adenine) of single nucleotide polymorphism (SNP) rs1344706 of the ZNF804A gene. However, little is known about how the genomic linkage disequilibrium region tagged by this SNP impacts on the brain to increase risk for psychosis. This study aimed to assess the impact of this risk variant on FA in patients with SZ, in those with BD and in healthy controls. Methods. 230 individuals were genotyped for the rs1344706 SNP and underwent DTI. We used tract-based spatial statistics (TBSS) followed by an analysis of variance, with threshold-free cluster enhancement (TFCE), to assess underlying effects of genotype, diagnosis and their interaction, on FA. Results. As predicted, statistically significant reductions in FA across a widely distributed brain network (p < 0.05, TFCE-corrected) were positively associated both with a diagnosis of SZ or BD and with the double (homozygous) presence of the ZNF804A rs1344706 risk variant (A). The main effect of genotype was medium (d = 0.48 in a 44,054-voxel cluster) and the effect in the SZ group alone was large (d = 1.01 in a 51,260-voxel cluster), with no significant effects in BD or controls, in isolation. No areas under a significant diagnosis by genotype interaction were found. Discussion. We provide the first evidence in a predominantly Caucasian clinical sample, of an association between ZNF804A rs1344706 A-homozygosity and reduced FA, both irrespective of diagnosis and particularly in SZ (in overlapping brain areas). This suggests that the previously observed involvement of this genomic region in psychosis susceptibility, and in impaired functional connectivity, may be conferred through it inducing abnormalities in white matter microstructure.

Indexed as

Bipolar disorderDiffusion tensor imagingFractional anisotropyGenome-wide associationPsychosisSchizophreniaWhite matterZNF804A

Identifiers

PMID26966642
PMCPMC4782689
OpenAlexW2274482507

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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.