Publicação
Effects of psychosis-associated genetic markers on brain volumetry: a systematic review of replicated findings and an independent validation
| dc.contributor.author | Vouga Ribeiro, Nuno | |
| dc.contributor.author | Tavares, Vânia | |
| dc.contributor.author | Bramon, Elvira | |
| dc.contributor.author | Toulopoulou, Timothea | |
| dc.contributor.author | Valli, Isabel | |
| dc.contributor.author | Shergill, Sukhi | |
| dc.contributor.author | Murray, Robin | |
| dc.contributor.author | Prata, Diana | |
| dc.date.accessioned | 2022-09-30T14:26:08Z | |
| dc.date.available | 2022-09-30T14:26:08Z | |
| dc.date.issued | 2022 | |
| dc.description | © The Author(s), 2022. Published by Cambridge University Press. This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited. | pt_PT |
| dc.description.abstract | Background: Given psychotic illnesses' high heritability and associations with brain structure, numerous neuroimaging-genetics findings have been reported in the last two decades. However, few findings have been replicated. In the present independent sample we aimed to replicate any psychosis-implicated SNPs (single nucleotide polymorphisms), which had previously shown at least two main effects on brain volume. Methods: A systematic review for SNPs showing a replicated effect on brain volume yielded 25 studies implicating seven SNPs in five genes. Their effect was then tested in 113 subjects with either schizophrenia, bipolar disorder, 'at risk mental state' or healthy state, for whole-brain and region-of-interest (ROI) associations with grey and white matter volume changes, using voxel-based morphometry. Results: We found FWER-corrected (Family-wise error rate) (i.e. statistically significant) associations of: (1) CACNA1C-rs769087-A with larger bilateral hippocampus and thalamus white matter, across the whole brain; and (2) CACNA1C-rs769087-A with larger superior frontal gyrus, as ROI. Higher replication concordance with existing literature was found, in decreasing order, for: (1) CACNA1C-rs769087-A, with larger dorsolateral-prefrontal/superior frontal gyrus and hippocampi (both with anatomical and directional concordance); (2) ZNF804A-rs11681373-A, with smaller angular gyrus grey matter and rectus gyri white matter (both with anatomical and directional concordance); and (3) BDNF-rs6265-T with superior frontal and middle cingulate gyri volume change (with anatomical and allelic concordance). Conclusions: Most literature findings were not herein replicated. Nevertheless, high degree/likelihood of replication was found for two genome-wide association studies- and one candidate-implicated SNPs, supporting their involvement in psychosis and brain structure. | pt_PT |
| dc.description.sponsorship | VT was supported by a Fundação para a Ciência e Tecnologia (FCT) PhD fellowship (PD/BD/114460/2016) and hired on the FCT DSAIPA/DS/0065/2018 grant. DP was supported, during this work, by the European Commission Seventh Framework Programme Marie Curie Career Integration Grant FP7-PEOPLE-2013-CIG-631952, the 2016 Bial Foundation Psychophysiology Grant – Ref. 292/16, and the FCT IF/00787/2014, LISBOA-01-0145-FEDER-030907, DSAIPA/DS/0065/2018 and UIDB/00645/2020 grants, and the Instituto de Medicina Molecular (iMM) Lisboa Director's Fund Breakthrough Idea Grant 2016. | pt_PT |
| dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
| dc.identifier.citation | Psychol Med. 2022 Sep 28;1-16 | pt_PT |
| dc.identifier.doi | 10.1017/S0033291722002896 | pt_PT |
| dc.identifier.eissn | 1469-8978 | |
| dc.identifier.issn | 0033-2917 | |
| dc.identifier.uri | http://hdl.handle.net/10451/54639 | |
| dc.language.iso | eng | pt_PT |
| dc.peerreviewed | yes | pt_PT |
| dc.publisher | Cambridge University Press | pt_PT |
| dc.relation | FP7-PEOPLE-2013-CIG-631952 | pt_PT |
| dc.relation | Prediction of the onset of schizophrenia based on a multimodal approach | |
| dc.relation | Artificial intelligence-based neuroimaging biomarkers for the diagnosis of neuropsychiatric illnesses | |
| dc.relation | Institute of <biophysics and Biomedical Engineering | |
| dc.relation.publisherversion | https://www.cambridge.org/core/journals/psychological-medicine | pt_PT |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt_PT |
| dc.subject | Brain structure | pt_PT |
| dc.subject | GWAS | pt_PT |
| dc.subject | MRI | pt_PT |
| dc.subject | Candidate genes | pt_PT |
| dc.subject | Imaging genetics | pt_PT |
| dc.title | Effects of psychosis-associated genetic markers on brain volumetry: a systematic review of replicated findings and an independent validation | pt_PT |
| dc.type | journal article | |
| dspace.entity.type | Publication | |
| oaire.awardTitle | Prediction of the onset of schizophrenia based on a multimodal approach | |
| oaire.awardTitle | Artificial intelligence-based neuroimaging biomarkers for the diagnosis of neuropsychiatric illnesses | |
| oaire.awardTitle | Institute of <biophysics and Biomedical Engineering | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/OE/PD%2FBD%2F114460%2F2016/PT | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/3599-PPCDT/DSAIPA%2FDS%2F0065%2F2018/PT | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00645%2F2020/PT | |
| oaire.citation.endPage | 16 | pt_PT |
| oaire.citation.startPage | 1 | pt_PT |
| oaire.citation.title | Psychological Medicine | pt_PT |
| oaire.fundingStream | OE | |
| oaire.fundingStream | 3599-PPCDT | |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| person.familyName | Vouga Ribeiro | |
| person.familyName | Tavares | |
| person.familyName | Pinto Prata | |
| person.givenName | Nuno | |
| person.givenName | Vânia | |
| person.givenName | Diana Maria | |
| person.identifier | YaC5f4AAAAAJ&hl | |
| person.identifier.ciencia-id | A012-09CC-78E9 | |
| person.identifier.ciencia-id | 7B18-C8FC-904C | |
| person.identifier.orcid | 0000-0002-8500-5235 | |
| person.identifier.orcid | 0000-0002-7446-4444 | |
| person.identifier.orcid | 0000-0002-4051-022X | |
| person.identifier.scopus-author-id | 57220088914 | |
| person.identifier.scopus-author-id | 14632352500 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | article | pt_PT |
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