TY - JOUR
T1 - Schizophrenia polygenic risk score predicts mnemonic hippocampal activity
AU - Chen, Qiang
AU - Ursini, Gianluca
AU - Romer, Adrienne L.
AU - Knodt, Annchen R.
AU - Mezeivtch, Karleigh
AU - Xiao, Ena
AU - Pergola, Giulio
AU - Blasi, Giuseppe
AU - Straub, Richard E.
AU - Callicott, Joseph H.
AU - Berman, Karen F.
AU - Hariri, Ahmad R.
AU - Bertolino, Alessandro
AU - Mattay, Venkata S.
AU - Weinberger, Daniel R.
N1 - Funding Information:
The collection of the genetic data for the American samples was supported by direct funding from the Intramural Research Program of the NIMH to the Clinical Brain Disorders Branch (DR Weinberger, PI, protocol 95-M-0150, NCT00001486, annual report number: ZIA MH002942-03 CTNB). The analytic work was funded by the Lieber Institute for Brain Development.
Funding Information:
The Duke Neurogenetics Study received support from Duke University as well as US-National Institutes of Health grants R01DA033369 and R01DA031579. ARK and ARH received further support from US-National Institutes of Health grant R01AG049789.
Funding Information:
Analysis of European data was supported by a “Capitale Umano ad Alta Qualificazione” grant by Fondazione Con Il Sud and by the “Ricerca Finalizzata” (grant number: PE-2011-02347951) awarded to Alessandro Bertolino. Additionally, this project has received funding from the European Union Seventh Framework Programme for research, technological development and demonstration under grant agreement no. 602450. This paper reflects only the author’s views and the European Union is not liable for any use that may be made of the information contained therein.
Funding Information:
The collection of the genetic data for the American samples was supported by direct funding from the Intramural Research Program of the NIMH to the Clinical Brain Disorders Branch (DR Weinberger, PI, protocol 95-M-0150, NCT00001486, annual report number: ZIA MH002942-03 CTNB). The analytic work was funded by the Lieber Institute for Brain Development. The Duke Neurogenetics Study received support from Duke University as well as US-National Institutes of Health grants R01DA033369 and R01DA031579. ARK and ARH received further support from US-National Institutes of Health grant R01AG049789. Analysis of European data was supported by a “Capitale Umano ad Alta Qualificazione” grant by Fondazione Con Il Sud and by the “Ricerca Finalizzata” (grant number: PE-2011-02347951) awarded to Alessandro Bertolino. Additionally, this project has received funding from the European Union Seventh Framework Programme for research, technological development and demonstration under grant agreement no. 602450. This paper reflects only the author’s views and the European Union is not liable for any use that May be made of the information contained therein.
Funding Information:
The collection of the genetic data for the American samples was supported by direct funding from the Intramural Research Program of the NIMH to the Clinical Brain Disorders Branch (DR Weinberger, PI, protocol 95-M-0150, NCT00001486, annual report number: ZIA MH002942-03 CTNB). The analytic work was funded by the Lieber Institute for Brain Development. The Duke Neurogenetics Study received support from Duke University as well as US-National Institutes of Health grants R01DA033369 and R01DA031579. ARK and ARH received further support from US-National Institutes of Health grant R01AG049789. Analysis of European data was supported by a ?Capitale Umano ad Alta Qualificazione? grant by Fondazione Con Il Sud and by the ?Ricerca Finalizzata? (grant number: PE-2011-02347951) awarded to Alessandro Bertolino. Additionally, this project has received funding from the European Union Seventh Framework Programme for research, technological development and demonstration under grant agreement no. 602450. This paper reflects only the author?s views and the European Union is not liable for any use that May be made of the information contained therein.
Publisher Copyright:
© The Author(s) (2018).
PY - 2018/4
Y1 - 2018/4
N2 - The use of polygenic risk scores has become a practical translational approach to investigating the complex genetic architecture of schizophrenia, but the link between polygenic risk scores and pathophysiological components of this disorder has been the subject of limited research. We investigated in healthy volunteers whether schizophrenia polygenic risk score predicts hippocampal activity during simple memory encoding, which has been proposed as a risk-associated intermediate phenotype of schizophrenia. We analysed the relationship between polygenic risk scores and hippocampal activity in a discovery sample of 191 unrelated healthy volunteers from the USA and in two independent replication samples of 76 and 137 healthy unrelated participants from Europe and the USA, respectively. Polygenic risk scores for each individual were calculated as the sum of the imputation probability of reference alleles weighted by the natural log of odds ratio from the recent schizophrenia genome-wide association study. We examined hippocampal activity during simple memory encoding of novel visual stimuli assessed using blood oxygen level-dependent functional MRI. Polygenic risk scores were significantly associated with hippocampal activity in the discovery sample [P = 0.016, family-wise error (FWE) corrected within Anatomical Automatic Labeling (AAL) bilateral hippocampal-parahippocampal mask] and in both replication samples (P = 0.033, FWE corrected within AAL right posterior hippocampal-parahippocampal mask in Bari sample, and P = 0.002 uncorrected in the Duke Neurogenetics Study sample). The relationship between polygenic risk scores and hippocampal activity was consistently negative, i.e. lower hippocampal activity in individuals with higher polygenic risk scores, consistent with previous studies reporting decreased hippocampal-parahippocampal activity during declarative memory tasks in patients with schizophrenia and in their healthy siblings. Polygenic risk scores accounted for more than 8% of variance in hippocampal activity during memory encoding in discovery sample. We conclude that polygenic risk scores derived from the most recent schizophrenia genome-wide association study predict significant variability in hippocampal activity during memory encoding in healthy participants. Our findings validate mnemonic hippocampal activity as a genetic risk associated intermediate phenotype of schizophrenia, indicating that the aggregate neurobiological effect of schizophrenia risk alleles converges on this pattern of neural activity.
AB - The use of polygenic risk scores has become a practical translational approach to investigating the complex genetic architecture of schizophrenia, but the link between polygenic risk scores and pathophysiological components of this disorder has been the subject of limited research. We investigated in healthy volunteers whether schizophrenia polygenic risk score predicts hippocampal activity during simple memory encoding, which has been proposed as a risk-associated intermediate phenotype of schizophrenia. We analysed the relationship between polygenic risk scores and hippocampal activity in a discovery sample of 191 unrelated healthy volunteers from the USA and in two independent replication samples of 76 and 137 healthy unrelated participants from Europe and the USA, respectively. Polygenic risk scores for each individual were calculated as the sum of the imputation probability of reference alleles weighted by the natural log of odds ratio from the recent schizophrenia genome-wide association study. We examined hippocampal activity during simple memory encoding of novel visual stimuli assessed using blood oxygen level-dependent functional MRI. Polygenic risk scores were significantly associated with hippocampal activity in the discovery sample [P = 0.016, family-wise error (FWE) corrected within Anatomical Automatic Labeling (AAL) bilateral hippocampal-parahippocampal mask] and in both replication samples (P = 0.033, FWE corrected within AAL right posterior hippocampal-parahippocampal mask in Bari sample, and P = 0.002 uncorrected in the Duke Neurogenetics Study sample). The relationship between polygenic risk scores and hippocampal activity was consistently negative, i.e. lower hippocampal activity in individuals with higher polygenic risk scores, consistent with previous studies reporting decreased hippocampal-parahippocampal activity during declarative memory tasks in patients with schizophrenia and in their healthy siblings. Polygenic risk scores accounted for more than 8% of variance in hippocampal activity during memory encoding in discovery sample. We conclude that polygenic risk scores derived from the most recent schizophrenia genome-wide association study predict significant variability in hippocampal activity during memory encoding in healthy participants. Our findings validate mnemonic hippocampal activity as a genetic risk associated intermediate phenotype of schizophrenia, indicating that the aggregate neurobiological effect of schizophrenia risk alleles converges on this pattern of neural activity.
KW - Genetics
KW - Hippocampal activity
KW - Neuroimaging genetics
KW - Polygenic risk score (PRS)
KW - Schizophrenia
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U2 - 10.1093/brain/awy004
DO - 10.1093/brain/awy004
M3 - Article
C2 - 29415119
AN - SCOPUS:85048236504
SN - 0006-8950
VL - 141
SP - 1218
EP - 1228
JO - Brain
JF - Brain
IS - 4
ER -