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Structural and Functional Neuroimaging of Polygenic Risk for Schizophrenia: A Recall-by-Genotype–Based Approach
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 co...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6403064/ https://www.ncbi.nlm.nih.gov/pubmed/29608775 http://dx.doi.org/10.1093/schbul/sby037 |
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author | Lancaster, Thomas M Dimitriadis, Stavros L Tansey, Katherine E Perry, Gavin Ihssen, Niklas Jones, Derek K Singh, Krish D Holmans, Peter Pocklington, Andrew Davey Smith, George Zammit, Stan Hall, Jeremy O’Donovan, Michael C Owen, Michael J Linden, David E |
author_facet | Lancaster, Thomas M Dimitriadis, Stavros L Tansey, Katherine E Perry, Gavin Ihssen, Niklas Jones, Derek K Singh, Krish D Holmans, Peter Pocklington, Andrew Davey Smith, George Zammit, Stan Hall, Jeremy O’Donovan, Michael C Owen, Michael J Linden, David E |
author_sort | Lancaster, Thomas M |
collection | PubMed |
description | 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 (P(FWE-VS-CORRECTED) = .037), a previously investigated broader reward-related network (P(FWE-ROIS-CORRECTED) = .008), and across the whole brain (P(FWE-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. |
format | Online Article Text |
id | pubmed-6403064 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-64030642019-03-12 Structural and Functional Neuroimaging of Polygenic Risk for Schizophrenia: A Recall-by-Genotype–Based Approach Lancaster, Thomas M Dimitriadis, Stavros L Tansey, Katherine E Perry, Gavin Ihssen, Niklas Jones, Derek K Singh, Krish D Holmans, Peter Pocklington, Andrew Davey Smith, George Zammit, Stan Hall, Jeremy O’Donovan, Michael C Owen, Michael J Linden, David E Schizophr Bull Regular Articles 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 (P(FWE-VS-CORRECTED) = .037), a previously investigated broader reward-related network (P(FWE-ROIS-CORRECTED) = .008), and across the whole brain (P(FWE-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. Oxford University Press 2019-03 2018-03-28 /pmc/articles/PMC6403064/ /pubmed/29608775 http://dx.doi.org/10.1093/schbul/sby037 Text en © The Author(s) 2018. Published by Oxford University Press on behalf of the Maryland Psychiatric Research Center. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Regular Articles Lancaster, Thomas M Dimitriadis, Stavros L Tansey, Katherine E Perry, Gavin Ihssen, Niklas Jones, Derek K Singh, Krish D Holmans, Peter Pocklington, Andrew Davey Smith, George Zammit, Stan Hall, Jeremy O’Donovan, Michael C Owen, Michael J Linden, David E Structural and Functional Neuroimaging of Polygenic Risk for Schizophrenia: A Recall-by-Genotype–Based Approach |
title | Structural and Functional Neuroimaging of Polygenic Risk for Schizophrenia: A Recall-by-Genotype–Based Approach |
title_full | Structural and Functional Neuroimaging of Polygenic Risk for Schizophrenia: A Recall-by-Genotype–Based Approach |
title_fullStr | Structural and Functional Neuroimaging of Polygenic Risk for Schizophrenia: A Recall-by-Genotype–Based Approach |
title_full_unstemmed | Structural and Functional Neuroimaging of Polygenic Risk for Schizophrenia: A Recall-by-Genotype–Based Approach |
title_short | Structural and Functional Neuroimaging of Polygenic Risk for Schizophrenia: A Recall-by-Genotype–Based Approach |
title_sort | structural and functional neuroimaging of polygenic risk for schizophrenia: a recall-by-genotype–based approach |
topic | Regular Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6403064/ https://www.ncbi.nlm.nih.gov/pubmed/29608775 http://dx.doi.org/10.1093/schbul/sby037 |
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