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The influence of polygenic risk for bipolar disorder on neural activation assessed using fMRI
Genome-wide association studies (GWAS) have demonstrated a significant polygenic contribution to bipolar disorder (BD) where disease risk is determined by the summation of many alleles of small individual magnitude. Modelling polygenic risk scores may be a powerful way of identifying disrupted brain...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3410628/ https://www.ncbi.nlm.nih.gov/pubmed/22760554 http://dx.doi.org/10.1038/tp.2012.60 |
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author | Whalley, H C Papmeyer, M Sprooten, E Romaniuk, L Blackwood, D H Glahn, D C Hall, J Lawrie, S M Sussmann, Je McIntosh, A M |
author_facet | Whalley, H C Papmeyer, M Sprooten, E Romaniuk, L Blackwood, D H Glahn, D C Hall, J Lawrie, S M Sussmann, Je McIntosh, A M |
author_sort | Whalley, H C |
collection | PubMed |
description | Genome-wide association studies (GWAS) have demonstrated a significant polygenic contribution to bipolar disorder (BD) where disease risk is determined by the summation of many alleles of small individual magnitude. Modelling polygenic risk scores may be a powerful way of identifying disrupted brain regions whose genetic architecture is related to that of BD. We determined the extent to which common genetic variation underlying risk to BD affected neural activation during an executive processing/language task in individuals at familial risk of BD and healthy controls. Polygenic risk scores were calculated for each individual based on GWAS data from the Psychiatric GWAS Consortium Bipolar Disorder Working Group (PGC-BD) of over 16 000 subjects. The familial group had a significantly higher polygene score than the control group (P=0.04). There were no significant group by polygene interaction effects in terms of association with brain activation. However, we did find that an increasing polygenic risk allele load for BD was associated with increased activation in limbic regions previously implicated in BD, including the anterior cingulate cortex and amygdala, across both groups. The findings suggest that this novel polygenic approach to examine brain-imaging data may be a useful means of identifying genetically mediated traits mechanistically linked to the aetiology of BD. |
format | Online Article Text |
id | pubmed-3410628 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-34106282012-08-02 The influence of polygenic risk for bipolar disorder on neural activation assessed using fMRI Whalley, H C Papmeyer, M Sprooten, E Romaniuk, L Blackwood, D H Glahn, D C Hall, J Lawrie, S M Sussmann, Je McIntosh, A M Transl Psychiatry Original Article Genome-wide association studies (GWAS) have demonstrated a significant polygenic contribution to bipolar disorder (BD) where disease risk is determined by the summation of many alleles of small individual magnitude. Modelling polygenic risk scores may be a powerful way of identifying disrupted brain regions whose genetic architecture is related to that of BD. We determined the extent to which common genetic variation underlying risk to BD affected neural activation during an executive processing/language task in individuals at familial risk of BD and healthy controls. Polygenic risk scores were calculated for each individual based on GWAS data from the Psychiatric GWAS Consortium Bipolar Disorder Working Group (PGC-BD) of over 16 000 subjects. The familial group had a significantly higher polygene score than the control group (P=0.04). There were no significant group by polygene interaction effects in terms of association with brain activation. However, we did find that an increasing polygenic risk allele load for BD was associated with increased activation in limbic regions previously implicated in BD, including the anterior cingulate cortex and amygdala, across both groups. The findings suggest that this novel polygenic approach to examine brain-imaging data may be a useful means of identifying genetically mediated traits mechanistically linked to the aetiology of BD. Nature Publishing Group 2012-07 2012-07-03 /pmc/articles/PMC3410628/ /pubmed/22760554 http://dx.doi.org/10.1038/tp.2012.60 Text en Copyright © 2012 Macmillan Publishers Limited http://creativecommons.org/licenses/by-nc-sa/3.0/ This work is licensed under the Creative Commons Attribution-NonCommercial-Share Alike 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/3.0/ |
spellingShingle | Original Article Whalley, H C Papmeyer, M Sprooten, E Romaniuk, L Blackwood, D H Glahn, D C Hall, J Lawrie, S M Sussmann, Je McIntosh, A M The influence of polygenic risk for bipolar disorder on neural activation assessed using fMRI |
title | The influence of polygenic risk for bipolar disorder on neural activation assessed using fMRI |
title_full | The influence of polygenic risk for bipolar disorder on neural activation assessed using fMRI |
title_fullStr | The influence of polygenic risk for bipolar disorder on neural activation assessed using fMRI |
title_full_unstemmed | The influence of polygenic risk for bipolar disorder on neural activation assessed using fMRI |
title_short | The influence of polygenic risk for bipolar disorder on neural activation assessed using fMRI |
title_sort | influence of polygenic risk for bipolar disorder on neural activation assessed using fmri |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3410628/ https://www.ncbi.nlm.nih.gov/pubmed/22760554 http://dx.doi.org/10.1038/tp.2012.60 |
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