Schizophrenia risk variants modulate white matter volume across the psychosis spectrum: Evidence from two independent cohorts
Polygenic risk scores, based on risk variants identified in genome-wide-association-studies (GWAS), explain a considerable portion of the heritability for schizophrenia (SZ) and bipolar disorder (BD). However, little is known about the combined effects of these variants, although polygenic neuroimag...
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2015
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Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4375641/ |
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pubmed-43756412015-04-03 Schizophrenia risk variants modulate white matter volume across the psychosis spectrum: Evidence from two independent cohorts Oertel-Knöchel, Viola Lancaster, Thomas M. Knöchel, Christian Stäblein, Michael Storchak, Helena Reinke, Britta Jurcoane, Alina Kniep, Jonathan Prvulovic, David Mantripragada, Kiran Tansey, Katherine E. O’Donovan, Michael C. Owen, Michael J. Linden, David E.J. Regular Article Polygenic risk scores, based on risk variants identified in genome-wide-association-studies (GWAS), explain a considerable portion of the heritability for schizophrenia (SZ) and bipolar disorder (BD). However, little is known about the combined effects of these variants, although polygenic neuroimaging has developed into a powerful tool of translational neuroscience. In this study, we used genome wide significant SZ risk variants to test the predictive capacity of the polygenic model and explored potential associations with white matter volume, a key candidate in imaging phenotype for psychotic disorders. Elsevier 2015-03-13 /pmc/articles/PMC4375641/ /pubmed/25844328 http://dx.doi.org/10.1016/j.nicl.2015.03.005 Text en © 2015 The Authors. Published by Elsevier Inc. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
repository_type |
Open Access Journal |
institution_category |
Foreign Institution |
institution |
US National Center for Biotechnology Information |
building |
NCBI PubMed |
collection |
Online Access |
language |
English |
format |
Online |
author |
Oertel-Knöchel, Viola Lancaster, Thomas M. Knöchel, Christian Stäblein, Michael Storchak, Helena Reinke, Britta Jurcoane, Alina Kniep, Jonathan Prvulovic, David Mantripragada, Kiran Tansey, Katherine E. O’Donovan, Michael C. Owen, Michael J. Linden, David E.J. |
spellingShingle |
Oertel-Knöchel, Viola Lancaster, Thomas M. Knöchel, Christian Stäblein, Michael Storchak, Helena Reinke, Britta Jurcoane, Alina Kniep, Jonathan Prvulovic, David Mantripragada, Kiran Tansey, Katherine E. O’Donovan, Michael C. Owen, Michael J. Linden, David E.J. Schizophrenia risk variants modulate white matter volume across the psychosis spectrum: Evidence from two independent cohorts |
author_facet |
Oertel-Knöchel, Viola Lancaster, Thomas M. Knöchel, Christian Stäblein, Michael Storchak, Helena Reinke, Britta Jurcoane, Alina Kniep, Jonathan Prvulovic, David Mantripragada, Kiran Tansey, Katherine E. O’Donovan, Michael C. Owen, Michael J. Linden, David E.J. |
author_sort |
Oertel-Knöchel, Viola |
title |
Schizophrenia risk variants modulate white matter volume across the psychosis spectrum: Evidence from two independent cohorts |
title_short |
Schizophrenia risk variants modulate white matter volume across the psychosis spectrum: Evidence from two independent cohorts |
title_full |
Schizophrenia risk variants modulate white matter volume across the psychosis spectrum: Evidence from two independent cohorts |
title_fullStr |
Schizophrenia risk variants modulate white matter volume across the psychosis spectrum: Evidence from two independent cohorts |
title_full_unstemmed |
Schizophrenia risk variants modulate white matter volume across the psychosis spectrum: Evidence from two independent cohorts |
title_sort |
schizophrenia risk variants modulate white matter volume across the psychosis spectrum: evidence from two independent cohorts |
description |
Polygenic risk scores, based on risk variants identified in genome-wide-association-studies (GWAS), explain a considerable portion of the heritability for schizophrenia (SZ) and bipolar disorder (BD). However, little is known about the combined effects of these variants, although polygenic neuroimaging has developed into a powerful tool of translational neuroscience. In this study, we used genome wide significant SZ risk variants to test the predictive capacity of the polygenic model and explored potential associations with white matter volume, a key candidate in imaging phenotype for psychotic disorders. |
publisher |
Elsevier |
publishDate |
2015 |
url |
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4375641/ |
_version_ |
1613204092747776000 |