Skip to content

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

Research output: Contribution to journalArticle

Standard

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 Edmund Johannes.

In: Schizophrenia Bulletin, Vol. 45, No. 2, sby037, 07.03.2019, p. 405-414.

Research output: Contribution to journalArticle

Harvard

Lancaster, TM, Dimitriadis, SL, Tansey, KE, Perry, G, Ihssen, N, Jones, DK, Singh, KD, Holmans, P, Pocklington, A, Davey Smith, G, Zammit, S, Hall, J, O'Donovan, MC, Owen, MJ & Linden, DEJ 2019, 'Structural and Functional Neuroimaging of Polygenic Risk for Schizophrenia: A Recall-by-Genotype–Based Approach', Schizophrenia Bulletin, vol. 45, no. 2, sby037, pp. 405-414. https://doi.org/10.1093/schbul/sby037

APA

Lancaster, T. M., Dimitriadis, S. L., Tansey, K. E., Perry, G., Ihssen, N., Jones, D. K., ... Linden, D. E. J. (2019). Structural and Functional Neuroimaging of Polygenic Risk for Schizophrenia: A Recall-by-Genotype–Based Approach. Schizophrenia Bulletin, 45(2), 405-414. [sby037]. https://doi.org/10.1093/schbul/sby037

Vancouver

Lancaster TM, Dimitriadis SL, Tansey KE, Perry G, Ihssen N, Jones DK et al. Structural and Functional Neuroimaging of Polygenic Risk for Schizophrenia: A Recall-by-Genotype–Based Approach. Schizophrenia Bulletin. 2019 Mar 7;45(2):405-414. sby037. https://doi.org/10.1093/schbul/sby037

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 Edmund Johannes. / Structural and Functional Neuroimaging of Polygenic Risk for Schizophrenia : A Recall-by-Genotype–Based Approach. In: Schizophrenia Bulletin. 2019 ; Vol. 45, No. 2. pp. 405-414.

Bibtex

@article{a520ac57f9c74dfdb33e833000850212,
title = "Structural and Functional Neuroimaging of Polygenic Risk for Schizophrenia: A Recall-by-Genotype–Based Approach",
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.",
keywords = "imaging genetics, reward processing, recall-by-genotype, polygenic, schizophrenia",
author = "Lancaster, {Thomas M.} and Dimitriadis, {Stavros L.} and Tansey, {Katherine E.} and Gavin Perry and Niklas Ihssen and Jones, {Derek K.} and Singh, {Krish D.} and Peter Holmans and Andrew Pocklington and {Davey Smith}, George and Stan Zammit and Jeremy Hall and O'Donovan, {Michael C.} and Owen, {Michael J.} and Linden, {David Edmund Johannes}",
year = "2019",
month = "3",
day = "7",
doi = "10.1093/schbul/sby037",
language = "English",
volume = "45",
pages = "405--414",
journal = "Schizophrenia Bulletin",
issn = "0586-7614",
publisher = "Oxford University Press",
number = "2",

}

RIS - suitable for import to EndNote

TY - JOUR

T1 - Structural and Functional Neuroimaging of Polygenic Risk for Schizophrenia

T2 - A Recall-by-Genotype–Based Approach

AU - Lancaster, Thomas M.

AU - Dimitriadis, Stavros L.

AU - Tansey, Katherine E.

AU - Perry, Gavin

AU - Ihssen, Niklas

AU - Jones, Derek K.

AU - Singh, Krish D.

AU - Holmans, Peter

AU - Pocklington, Andrew

AU - Davey Smith, George

AU - Zammit, Stan

AU - Hall, Jeremy

AU - O'Donovan, Michael C.

AU - Owen, Michael J.

AU - Linden, David Edmund Johannes

PY - 2019/3/7

Y1 - 2019/3/7

N2 - 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.

AB - 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.

KW - imaging genetics

KW - reward processing

KW - recall-by-genotype

KW - polygenic

KW - schizophrenia

UR - http://www.scopus.com/inward/record.url?scp=85060279793&partnerID=8YFLogxK

U2 - 10.1093/schbul/sby037

DO - 10.1093/schbul/sby037

M3 - Article

VL - 45

SP - 405

EP - 414

JO - Schizophrenia Bulletin

JF - Schizophrenia Bulletin

SN - 0586-7614

IS - 2

M1 - sby037

ER -