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Differential Methylation Analysis of Suicidal Ideation Severity in Schizophrenia with the Illumina MethylationEPIC Array

There is a multitude of factors that makes difficult to identify those at risk for suicide, especially among schizophrenia patients. Suicide cannot be explained by genetics alone, therefore epigenetic mechanisms including DNA methylation are thought to play a role. DNA methylation could be a valuabl...

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Autores principales: Wang, Kevin Z., Chaudhary, Zanib, Qian, Jessica, Adanty, Christopher, Graff-Guerrero, Ariel, Gerretsen, Philip, Zai, Clement C., De Luca, Vincenzo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9141768/
https://www.ncbi.nlm.nih.gov/pubmed/35627945
http://dx.doi.org/10.3390/healthcare10050809
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author Wang, Kevin Z.
Chaudhary, Zanib
Qian, Jessica
Adanty, Christopher
Graff-Guerrero, Ariel
Gerretsen, Philip
Zai, Clement C.
De Luca, Vincenzo
author_facet Wang, Kevin Z.
Chaudhary, Zanib
Qian, Jessica
Adanty, Christopher
Graff-Guerrero, Ariel
Gerretsen, Philip
Zai, Clement C.
De Luca, Vincenzo
author_sort Wang, Kevin Z.
collection PubMed
description There is a multitude of factors that makes difficult to identify those at risk for suicide, especially among schizophrenia patients. Suicide cannot be explained by genetics alone, therefore epigenetic mechanisms including DNA methylation are thought to play a role. DNA methylation could be a valuable tool in helping predict those at-risk individuals. This cross-sectional study comprised 112 subjects diagnosed with schizophrenia spectrum disorders, and were grouped according to the current suicidal ideation severity. DNA methylation across the genome was measured with the Infinium(®) MethylationEPIC BeadChip. We utilized the dmpFinder and bumphunter functions within the Bioconductor minfi package to identify differentially methylated positions (DMPs) and differentially methylated regions (DMRs), respectively. Following quality control, we removed one sample from the analysis and reported the most significant DMPs and DMRs associated with suicidal ideation severity. All positions and regions identified in this analysis were only found to have suggestive levels of significance at the genome-wide level. The present study was one of the first to investigate genome-wide methylation and suicidal ideation severity. While there were many strengths of our study, including investigating both differentially methylated positions and regions, further larger-scale studies are necessary to replicate, support, and validate our findings presented here.
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spelling pubmed-91417682022-05-28 Differential Methylation Analysis of Suicidal Ideation Severity in Schizophrenia with the Illumina MethylationEPIC Array Wang, Kevin Z. Chaudhary, Zanib Qian, Jessica Adanty, Christopher Graff-Guerrero, Ariel Gerretsen, Philip Zai, Clement C. De Luca, Vincenzo Healthcare (Basel) Article There is a multitude of factors that makes difficult to identify those at risk for suicide, especially among schizophrenia patients. Suicide cannot be explained by genetics alone, therefore epigenetic mechanisms including DNA methylation are thought to play a role. DNA methylation could be a valuable tool in helping predict those at-risk individuals. This cross-sectional study comprised 112 subjects diagnosed with schizophrenia spectrum disorders, and were grouped according to the current suicidal ideation severity. DNA methylation across the genome was measured with the Infinium(®) MethylationEPIC BeadChip. We utilized the dmpFinder and bumphunter functions within the Bioconductor minfi package to identify differentially methylated positions (DMPs) and differentially methylated regions (DMRs), respectively. Following quality control, we removed one sample from the analysis and reported the most significant DMPs and DMRs associated with suicidal ideation severity. All positions and regions identified in this analysis were only found to have suggestive levels of significance at the genome-wide level. The present study was one of the first to investigate genome-wide methylation and suicidal ideation severity. While there were many strengths of our study, including investigating both differentially methylated positions and regions, further larger-scale studies are necessary to replicate, support, and validate our findings presented here. MDPI 2022-04-27 /pmc/articles/PMC9141768/ /pubmed/35627945 http://dx.doi.org/10.3390/healthcare10050809 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Wang, Kevin Z.
Chaudhary, Zanib
Qian, Jessica
Adanty, Christopher
Graff-Guerrero, Ariel
Gerretsen, Philip
Zai, Clement C.
De Luca, Vincenzo
Differential Methylation Analysis of Suicidal Ideation Severity in Schizophrenia with the Illumina MethylationEPIC Array
title Differential Methylation Analysis of Suicidal Ideation Severity in Schizophrenia with the Illumina MethylationEPIC Array
title_full Differential Methylation Analysis of Suicidal Ideation Severity in Schizophrenia with the Illumina MethylationEPIC Array
title_fullStr Differential Methylation Analysis of Suicidal Ideation Severity in Schizophrenia with the Illumina MethylationEPIC Array
title_full_unstemmed Differential Methylation Analysis of Suicidal Ideation Severity in Schizophrenia with the Illumina MethylationEPIC Array
title_short Differential Methylation Analysis of Suicidal Ideation Severity in Schizophrenia with the Illumina MethylationEPIC Array
title_sort differential methylation analysis of suicidal ideation severity in schizophrenia with the illumina methylationepic array
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9141768/
https://www.ncbi.nlm.nih.gov/pubmed/35627945
http://dx.doi.org/10.3390/healthcare10050809
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