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Discovery and replication of a peripheral tissue DNA methylation biosignature to augment a suicide prediction model

BACKGROUND: Suicide is the second leading cause of death among adolescents in the USA, and rates are rising. Methods to identify individuals at risk are essential for implementing prevention strategies, and the development of a biomarker can potentially improve prediction of suicidal behaviors. Pred...

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Autores principales: Clive, Makena L., Boks, Marco P., Vinkers, Christiaan H., Osborne, Lauren M., Payne, Jennifer L., Ressler, Kerry J., Smith, Alicia K., Wilcox, Holly C., Kaminsky, Zachary
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5093988/
https://www.ncbi.nlm.nih.gov/pubmed/27822318
http://dx.doi.org/10.1186/s13148-016-0279-1
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author Clive, Makena L.
Boks, Marco P.
Vinkers, Christiaan H.
Osborne, Lauren M.
Payne, Jennifer L.
Ressler, Kerry J.
Smith, Alicia K.
Wilcox, Holly C.
Kaminsky, Zachary
author_facet Clive, Makena L.
Boks, Marco P.
Vinkers, Christiaan H.
Osborne, Lauren M.
Payne, Jennifer L.
Ressler, Kerry J.
Smith, Alicia K.
Wilcox, Holly C.
Kaminsky, Zachary
author_sort Clive, Makena L.
collection PubMed
description BACKGROUND: Suicide is the second leading cause of death among adolescents in the USA, and rates are rising. Methods to identify individuals at risk are essential for implementing prevention strategies, and the development of a biomarker can potentially improve prediction of suicidal behaviors. Prediction of our previously reported SKA2 biomarker for suicide and PTSD is substantially improved by questionnaires assessing perceived stress or anxiety and is therefore reliant on psychological assessment. However, such stress-related states may also leave a biosignature that could equally improve suicide prediction. In genome-wide DNA methylation data, we observed significant overlap between waking cortisol-associated and suicide-associated DNA methylation in blood and the brain, respectively. RESULTS: Using a custom bioinformatic brain to blood discovery algorithm, we derived a DNA methylation biosignature that interacts with SKA2 methylation to improve the prediction of suicidal ideation in our existing suicide prediction model across both blood and saliva data sets. This biosignature was independently validated in the Grady Trauma Project cohort and interacted with HPA axis metrics in the same cohort. The biosignature showed a relationship with immune status by its correlation with myeloid-derived cell proportions in all data sets and with IL-6 measures in a prospective postpartum depression cohort. Three probes showed significant correlations with the biosignature: cg08469255 (DDR1), cg22029879 (ARHGEF10), and cg24437859 (SHP1), of which SHP1 methylation correlated with immune measures. CONCLUSIONS: We conclude that this biosignature interacts with SKA2 methylation to improve suicide prediction and may represent a biological state of immune and HPA axis modulation that mediates suicidal behavior. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13148-016-0279-1) contains supplementary material, which is available to authorized users.
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spelling pubmed-50939882016-11-07 Discovery and replication of a peripheral tissue DNA methylation biosignature to augment a suicide prediction model Clive, Makena L. Boks, Marco P. Vinkers, Christiaan H. Osborne, Lauren M. Payne, Jennifer L. Ressler, Kerry J. Smith, Alicia K. Wilcox, Holly C. Kaminsky, Zachary Clin Epigenetics Research BACKGROUND: Suicide is the second leading cause of death among adolescents in the USA, and rates are rising. Methods to identify individuals at risk are essential for implementing prevention strategies, and the development of a biomarker can potentially improve prediction of suicidal behaviors. Prediction of our previously reported SKA2 biomarker for suicide and PTSD is substantially improved by questionnaires assessing perceived stress or anxiety and is therefore reliant on psychological assessment. However, such stress-related states may also leave a biosignature that could equally improve suicide prediction. In genome-wide DNA methylation data, we observed significant overlap between waking cortisol-associated and suicide-associated DNA methylation in blood and the brain, respectively. RESULTS: Using a custom bioinformatic brain to blood discovery algorithm, we derived a DNA methylation biosignature that interacts with SKA2 methylation to improve the prediction of suicidal ideation in our existing suicide prediction model across both blood and saliva data sets. This biosignature was independently validated in the Grady Trauma Project cohort and interacted with HPA axis metrics in the same cohort. The biosignature showed a relationship with immune status by its correlation with myeloid-derived cell proportions in all data sets and with IL-6 measures in a prospective postpartum depression cohort. Three probes showed significant correlations with the biosignature: cg08469255 (DDR1), cg22029879 (ARHGEF10), and cg24437859 (SHP1), of which SHP1 methylation correlated with immune measures. CONCLUSIONS: We conclude that this biosignature interacts with SKA2 methylation to improve suicide prediction and may represent a biological state of immune and HPA axis modulation that mediates suicidal behavior. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13148-016-0279-1) contains supplementary material, which is available to authorized users. BioMed Central 2016-11-03 /pmc/articles/PMC5093988/ /pubmed/27822318 http://dx.doi.org/10.1186/s13148-016-0279-1 Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Clive, Makena L.
Boks, Marco P.
Vinkers, Christiaan H.
Osborne, Lauren M.
Payne, Jennifer L.
Ressler, Kerry J.
Smith, Alicia K.
Wilcox, Holly C.
Kaminsky, Zachary
Discovery and replication of a peripheral tissue DNA methylation biosignature to augment a suicide prediction model
title Discovery and replication of a peripheral tissue DNA methylation biosignature to augment a suicide prediction model
title_full Discovery and replication of a peripheral tissue DNA methylation biosignature to augment a suicide prediction model
title_fullStr Discovery and replication of a peripheral tissue DNA methylation biosignature to augment a suicide prediction model
title_full_unstemmed Discovery and replication of a peripheral tissue DNA methylation biosignature to augment a suicide prediction model
title_short Discovery and replication of a peripheral tissue DNA methylation biosignature to augment a suicide prediction model
title_sort discovery and replication of a peripheral tissue dna methylation biosignature to augment a suicide prediction model
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5093988/
https://www.ncbi.nlm.nih.gov/pubmed/27822318
http://dx.doi.org/10.1186/s13148-016-0279-1
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