Evidence map›Paper›PMID 29608775›Full record

ArticleSchizophrenia bulletin2019

Structural and Functional Neuroimaging of Polygenic Risk for Schizophrenia: A Recall-by-Genotype-Based Approach.

Thomas M Lancaster, Stavros L Dimitriadis, Katherine E Tansey, Gavin Perry, Niklas Ihssen, Derek K Jones, Krish D Singh, Peter Holmans, Andrew Pocklington, George Davey Smith and 5 more

Open access · hybridAbstract read
In one paragraph

Article in Schizophrenia bulletin, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
4.0field-weighted citation impact, top 6% 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

21 citing papers in PubMed, 2 syntheses or guidelines pooled it, 40 citations in OpenAlex.

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  13. Global Brain Flexibility During Working Memory Is Reduced in a High-Genetic-Risk Group for Schizophrenia.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2021
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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

15 authors at 3 institutions in 1 country.

Thomas M LancasterNeuroscience and Mental Health Research Institute, Cardiff University, Cardiff, UK.
Stavros L DimitriadisCardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, UK.
Katherine E TanseyMRC Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, Cardiff School of Medicine, Cardiff University, Cardiff, UK.
Gavin PerryCardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, UK.
Niklas IhssenSchool of Psychology, Durham University, Durham, UK.
Derek K JonesCardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, UK.
Krish D SinghCardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, UK.
Peter HolmansMRC Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, Cardiff School of Medicine, Cardiff University, Cardiff, UK.
Andrew PocklingtonMRC Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, Cardiff School of Medicine, Cardiff University, Cardiff, UK.
George Davey SmithMRC Integrative Epidemiology Unit (IEU), University of Bristol, Bristol, UK.
Stan ZammitMRC Centre for Neuropsychiatric Genetics and Genomics, Institute of Psychological Medicine and Clinical Neurosciences, Cardiff School of Medicine, Cardiff University, Cardiff, UK.
Jeremy HallNeuroscience and Mental Health Research Institute, Cardiff University, Cardiff, UK.
Michael C O'DonovanNeuroscience and Mental Health Research Institute, Cardiff University, Cardiff, UK.
Michael J OwenNeuroscience and Mental Health Research Institute, Cardiff University, Cardiff, UK.
David E LindenNeuroscience and Mental Health Research Institute, Cardiff University, Cardiff, UK.
Cardiff University · GBDurham University · GBUniversity of Bristol · GB

Funding

Medical Research Council G0800509Medical Research Council G9815508Medical Research Council MC_UU_00011/1Medical Research Council MR/K004360/1Medical Research Council MR/L010305/1Medical Research Council MR/P005748/1
6 · The paper itself

Abstract

Risk profile scores (RPS) derived from genome-wide association studies (GWAS) explain a considerable amount of susceptibility for schizophrenia (SCZ). However, little is known about how common genetic risk factors for SCZ influence the structure and function of the human brain, largely due to the constraints of imaging sample sizes. In the current study, we use a novel recall-by-genotype (RbG) methodological approach, where we sample young adults from a population cohort (Avon Longitudinal Study of Parents and Children: N genotyped = 8365) based on their SCZ-RPS. We compared 197 healthy individuals at extremes of low (N = 99) or high (N = 98) SCZ-RPS with behavioral tests, and structural and functional magnetic resonance imaging (fMRI). We first provide methodological details that will inform the design of future RbG studies for common SCZ genetic risk. We further provide an between group analysis of the RbG individuals (low vs high SCZ-RPS) who underwent structural neuroimaging data (T1-weighted scans) and fMRI data during a reversal learning task. While we found little evidence for morphometric differences between the low and high SCZ-RPS groups, we observed an impact of SCZ-RPS on blood oxygen level-dependent (BOLD) signal during reward processing in the ventral striatum (PFWE-VS-CORRECTED = .037), a previously investigated broader reward-related network (PFWE-ROIS-CORRECTED = .008), and across the whole brain (PFWE-WHOLE-BRAIN-CORRECTED = .013). We also describe the study strategy and discuss specific challenges of RbG for SCZ risk (such as SCZ-RPS related homoscedasticity). This study will help to elucidate the behavioral and imaging phenotypes that are associated with SCZ genetic risk.

Indexed as

BrainGenetic Predisposition to DiseaseGenotypeSchizophreniaVentral StriatumAdultCohort StudiesFemaleFunctional NeuroimagingHumansMagnetic Resonance ImagingMaleNeuroimagingReversal LearningRewardRiskimaging geneticspolygenicrecall-by-genotypereward processingschizophrenia

Identifiers

PMID29608775
PMCPMC6403064
OpenAlexW2795322000

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.