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Association of a schizophrenia-risk nonsynonymous variant with putamen volume in adolescents

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Luo, Qiang, Chen, Qiang, Wang, Wenjia, Desrivières, Sylvane, Quinlan, Erin Burke, Jia, Tianye, Macare, Christine, Robert, Gabriel H., Cui, Jing, Guedj, Mickaël et al.
(2019) Association of a schizophrenia-risk nonsynonymous variant with putamen volume in adolescents. JAMA Psychiatry, 76 (4). pp. 435-445. doi:10.1001/jamapsychiatry.2018.4126

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Official URL: http://dx.doi.org/10.1001/jamapsychiatry.2018.4126

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Abstract

Importance

Deviation from normal adolescent brain development precedes manifestations of many major psychiatric symptoms. Such altered developmental trajectories in adolescents may be linked to genetic risk for psychopathology.

Objective

To identify genetic variants associated with adolescent brain structure and explore psychopathologic relevance of such associations.

Design, Setting, and Participants

Voxelwise genome-wide association study in a cohort of healthy adolescents aged 14 years and validation of the findings using 4 independent samples across the life span with allele-specific expression analysis of top hits. Group comparison of the identified gene-brain association among patients with schizophrenia, unaffected siblings, and healthy control individuals. This was a population-based, multicenter study combined with a clinical sample that included participants from the IMAGEN cohort, Saguenay Youth Study, Three-City Study, and Lieber Institute for Brain Development sample cohorts and UK biobank who were assessed for both brain imaging and genetic sequencing. Clinical samples included patients with schizophrenia and unaffected siblings of patients from the Lieber Institute for Brain Development study. Data were analyzed between October 2015 and April 2018.

Main Outcomes and Measures

Gray matter volume was assessed by neuroimaging and genetic variants were genotyped by Illumina BeadChip.

Results

The discovery sample included 1721 adolescents (873 girls [50.7%]), with a mean (SD) age of 14.44 (0.41) years. The replication samples consisted of 8690 healthy adults (4497 women [51.8%]) from 4 independent studies across the life span. A nonsynonymous genetic variant (minor T allele of rs13107325 in SLC39A8, a gene implicated in schizophrenia) was associated with greater gray matter volume of the putamen (variance explained of 4.21% in the left hemisphere; 8.66; 95% CI, 6.59-10.81; P = 5.35 × 10−18; and 4.44% in the right hemisphere; t = 8.90; 95% CI, 6.75-11.19; P = 6.80 × 10−19) and also with a lower gene expression of SLC39A8 specifically in the putamen (t127 = −3.87; P = 1.70 × 10−4). The identified association was validated in samples across the life span but was significantly weakened in both patients with schizophrenia (z = −3.05; P = .002; n = 157) and unaffected siblings (z = −2.08; P = .04; n = 149).

Conclusions and Relevance

Our results show that a missense mutation in gene SLC39A8 is associated with larger gray matter volume in the putamen and that this association is significantly weakened in schizophrenia. These results may suggest a role for aberrant ion transport in the etiology of psychosis and provide a target for preemptive developmental interventions aimed at restoring the functional effect of this mutation.

Item Type: Journal Article
Subjects: R Medicine > RC Internal medicine > RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry
Divisions: Faculty of Science > Computer Science
Library of Congress Subject Headings (LCSH): Schizophrenia -- Genetic aspects, Teenagers
Journal or Publication Title: JAMA Psychiatry
Publisher: American Medical Association
ISSN: 2168-622X
Official Date: 2019
Dates:
DateEvent
2019Published
16 January 2019Available
16 October 2018Accepted
Date of first compliant deposit: 31 January 2019
Volume: 76
Number: 4
Page Range: pp. 435-445
DOI: 10.1001/jamapsychiatry.2018.4126
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Open Access
RIOXX Funder/Project Grant:
Project/Grant IDRIOXX Funder NameFunder ID
16JC1420402Shanghai Science and Technology Innovation PlanUNSPECIFIED
71661167002[NSFC] National Natural Science Foundation of Chinahttp://dx.doi.org/10.13039/501100001809
91630314[NSFC] National Natural Science Foundation of Chinahttp://dx.doi.org/10.13039/501100001809
UNSPECIFIEDShanghai AI Platform for Diagnosis and Treatment of Brain DiseasesUNSPECIFIED
2016-17Project of Zhangjiang Hi-Tech District Management Committee, ShanghaiUNSPECIFIED
B18015[MEPRC] Ministry of Education of the People's Republic of Chinahttp://dx.doi.org/10.13039/501100002338
UNSPECIFIED[RS] Royal Societyhttp://dx.doi.org/10.13039/501100000288
B18015Base for Introducing Talents of Discipline to UniversitiesUNSPECIFIED

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