Cargando…

Genetic and environment effects on structural neuroimaging endophenotype for bipolar disorder: a novel molecular approach

We investigated gene–environment effects on structural brain endophenotype in bipolar disorder (BD) using a novel method of combining polygenic risk scores with epigenetic signatures since traditional methods of examining the family history and trauma effects have significant limitations. The study...

Descripción completa

Detalles Bibliográficos
Autores principales: Hu, Bo, Cha, Jungwon, Fullerton, Janice M., Hesam-Shariati, Sonia, Nakamura, Kunio, Nurnberger, John I., Anand, Amit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8980067/
https://www.ncbi.nlm.nih.gov/pubmed/35379780
http://dx.doi.org/10.1038/s41398-022-01892-3
_version_ 1784681315285598208
author Hu, Bo
Cha, Jungwon
Fullerton, Janice M.
Hesam-Shariati, Sonia
Nakamura, Kunio
Nurnberger, John I.
Anand, Amit
author_facet Hu, Bo
Cha, Jungwon
Fullerton, Janice M.
Hesam-Shariati, Sonia
Nakamura, Kunio
Nurnberger, John I.
Anand, Amit
author_sort Hu, Bo
collection PubMed
description We investigated gene–environment effects on structural brain endophenotype in bipolar disorder (BD) using a novel method of combining polygenic risk scores with epigenetic signatures since traditional methods of examining the family history and trauma effects have significant limitations. The study enrolled 119 subjects, including 55 BD spectrum (BDS) subjects diagnosed with BD or major depressive disorder (MDD) with subthreshold BD symptoms and 64 non-BDS subjects comprising 32 MDD subjects without BD symptoms and 32 healthy subjects. The blood samples underwent genome-wide genotyping and methylation quantification. We derived polygenic risk score (PRS) and methylation profile score (MPS) as weighted summations of risk single nucleotide polymorphisms and methylation probes, respectively, which were considered as molecular measures of genetic and environmental risks for BD. Linear regression was used to relate PRS, MPS, and their interaction to 44 brain structure measures quantified from magnetic resonance imaging (MRI) on 47 BDS subjects, and the results were compared with those based on family history and childhood trauma. After multiplicity corrections using false discovery rate (FDR), MPS was found to be negatively associated with the volume of the medial geniculate thalamus (FDR = 0.059, partial R(2) = 0.208). Family history, trauma scale, and PRS were not associated with any brain measures. PRS and MPS show significant interactions on whole putamen (FDR = 0.09, partial R(2) = 0.337). No significant gene–environment interactions were identified for the family history and trauma scale. PRS and MPS generally explained greater proportions of variances of the brain measures (range of partial R(2) = [0.008, 0.337]) than the clinical risk factors (range = [0.004, 0.228]).
format Online
Article
Text
id pubmed-8980067
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Nature Publishing Group UK
record_format MEDLINE/PubMed
spelling pubmed-89800672022-04-20 Genetic and environment effects on structural neuroimaging endophenotype for bipolar disorder: a novel molecular approach Hu, Bo Cha, Jungwon Fullerton, Janice M. Hesam-Shariati, Sonia Nakamura, Kunio Nurnberger, John I. Anand, Amit Transl Psychiatry Article We investigated gene–environment effects on structural brain endophenotype in bipolar disorder (BD) using a novel method of combining polygenic risk scores with epigenetic signatures since traditional methods of examining the family history and trauma effects have significant limitations. The study enrolled 119 subjects, including 55 BD spectrum (BDS) subjects diagnosed with BD or major depressive disorder (MDD) with subthreshold BD symptoms and 64 non-BDS subjects comprising 32 MDD subjects without BD symptoms and 32 healthy subjects. The blood samples underwent genome-wide genotyping and methylation quantification. We derived polygenic risk score (PRS) and methylation profile score (MPS) as weighted summations of risk single nucleotide polymorphisms and methylation probes, respectively, which were considered as molecular measures of genetic and environmental risks for BD. Linear regression was used to relate PRS, MPS, and their interaction to 44 brain structure measures quantified from magnetic resonance imaging (MRI) on 47 BDS subjects, and the results were compared with those based on family history and childhood trauma. After multiplicity corrections using false discovery rate (FDR), MPS was found to be negatively associated with the volume of the medial geniculate thalamus (FDR = 0.059, partial R(2) = 0.208). Family history, trauma scale, and PRS were not associated with any brain measures. PRS and MPS show significant interactions on whole putamen (FDR = 0.09, partial R(2) = 0.337). No significant gene–environment interactions were identified for the family history and trauma scale. PRS and MPS generally explained greater proportions of variances of the brain measures (range of partial R(2) = [0.008, 0.337]) than the clinical risk factors (range = [0.004, 0.228]). Nature Publishing Group UK 2022-04-04 /pmc/articles/PMC8980067/ /pubmed/35379780 http://dx.doi.org/10.1038/s41398-022-01892-3 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Hu, Bo
Cha, Jungwon
Fullerton, Janice M.
Hesam-Shariati, Sonia
Nakamura, Kunio
Nurnberger, John I.
Anand, Amit
Genetic and environment effects on structural neuroimaging endophenotype for bipolar disorder: a novel molecular approach
title Genetic and environment effects on structural neuroimaging endophenotype for bipolar disorder: a novel molecular approach
title_full Genetic and environment effects on structural neuroimaging endophenotype for bipolar disorder: a novel molecular approach
title_fullStr Genetic and environment effects on structural neuroimaging endophenotype for bipolar disorder: a novel molecular approach
title_full_unstemmed Genetic and environment effects on structural neuroimaging endophenotype for bipolar disorder: a novel molecular approach
title_short Genetic and environment effects on structural neuroimaging endophenotype for bipolar disorder: a novel molecular approach
title_sort genetic and environment effects on structural neuroimaging endophenotype for bipolar disorder: a novel molecular approach
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8980067/
https://www.ncbi.nlm.nih.gov/pubmed/35379780
http://dx.doi.org/10.1038/s41398-022-01892-3
work_keys_str_mv AT hubo geneticandenvironmenteffectsonstructuralneuroimagingendophenotypeforbipolardisorderanovelmolecularapproach
AT chajungwon geneticandenvironmenteffectsonstructuralneuroimagingendophenotypeforbipolardisorderanovelmolecularapproach
AT fullertonjanicem geneticandenvironmenteffectsonstructuralneuroimagingendophenotypeforbipolardisorderanovelmolecularapproach
AT hesamshariatisonia geneticandenvironmenteffectsonstructuralneuroimagingendophenotypeforbipolardisorderanovelmolecularapproach
AT nakamurakunio geneticandenvironmenteffectsonstructuralneuroimagingendophenotypeforbipolardisorderanovelmolecularapproach
AT nurnbergerjohni geneticandenvironmenteffectsonstructuralneuroimagingendophenotypeforbipolardisorderanovelmolecularapproach
AT anandamit geneticandenvironmenteffectsonstructuralneuroimagingendophenotypeforbipolardisorderanovelmolecularapproach