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Whole-exome sequencing data of suicide victims who had suffered from major depressive disorder
Suicide is one of the leading causes of mortality worldwide; it causes the death of more than one million patients each year. Suicide is a complex, multifactorial phenotype with environmental and genetic factors contributing to the risk of the forthcoming suicide. These factors first generally lead...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6362893/ https://www.ncbi.nlm.nih.gov/pubmed/30720799 http://dx.doi.org/10.1038/sdata.2019.10 |
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author | Tombácz, Dóra Maróti, Zoltán Kalmár, Tibor Palkovits, Miklós Snyder, Michael Boldogkői, Zsolt |
author_facet | Tombácz, Dóra Maróti, Zoltán Kalmár, Tibor Palkovits, Miklós Snyder, Michael Boldogkői, Zsolt |
author_sort | Tombácz, Dóra |
collection | PubMed |
description | Suicide is one of the leading causes of mortality worldwide; it causes the death of more than one million patients each year. Suicide is a complex, multifactorial phenotype with environmental and genetic factors contributing to the risk of the forthcoming suicide. These factors first generally lead to mental disorders, such as depression, schizophrenia and bipolar disorder, which then become the direct cause of suicide. Here we present a high quality dataset (including processed BAM and VCF files) gained from the high-throughput whole-exome Illumina sequencing of 23 suicide victims – all of whom had suffered from major depressive disorder - and 21 control patients to a depth of at least 40-fold coverage in both cohorts. We identified ~130,000 variants per sample and altogether 442,270 unique variants in the cohort of 44 samples. To our best knowledge, this is the first whole-exome sequencing dataset from suicide victims. We expect that this dataset provides useful information for genomic studies of suicide and depression, and also for the analysis of the Hungarian population. |
format | Online Article Text |
id | pubmed-6362893 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-63628932019-02-06 Whole-exome sequencing data of suicide victims who had suffered from major depressive disorder Tombácz, Dóra Maróti, Zoltán Kalmár, Tibor Palkovits, Miklós Snyder, Michael Boldogkői, Zsolt Sci Data Data Descriptor Suicide is one of the leading causes of mortality worldwide; it causes the death of more than one million patients each year. Suicide is a complex, multifactorial phenotype with environmental and genetic factors contributing to the risk of the forthcoming suicide. These factors first generally lead to mental disorders, such as depression, schizophrenia and bipolar disorder, which then become the direct cause of suicide. Here we present a high quality dataset (including processed BAM and VCF files) gained from the high-throughput whole-exome Illumina sequencing of 23 suicide victims – all of whom had suffered from major depressive disorder - and 21 control patients to a depth of at least 40-fold coverage in both cohorts. We identified ~130,000 variants per sample and altogether 442,270 unique variants in the cohort of 44 samples. To our best knowledge, this is the first whole-exome sequencing dataset from suicide victims. We expect that this dataset provides useful information for genomic studies of suicide and depression, and also for the analysis of the Hungarian population. Nature Publishing Group 2019-02-05 /pmc/articles/PMC6362893/ /pubmed/30720799 http://dx.doi.org/10.1038/sdata.2019.10 Text en Copyright © 2019, The Author(s) http://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/ The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files made available in this article. |
spellingShingle | Data Descriptor Tombácz, Dóra Maróti, Zoltán Kalmár, Tibor Palkovits, Miklós Snyder, Michael Boldogkői, Zsolt Whole-exome sequencing data of suicide victims who had suffered from major depressive disorder |
title | Whole-exome sequencing data of suicide victims who had suffered from major depressive disorder |
title_full | Whole-exome sequencing data of suicide victims who had suffered from major depressive disorder |
title_fullStr | Whole-exome sequencing data of suicide victims who had suffered from major depressive disorder |
title_full_unstemmed | Whole-exome sequencing data of suicide victims who had suffered from major depressive disorder |
title_short | Whole-exome sequencing data of suicide victims who had suffered from major depressive disorder |
title_sort | whole-exome sequencing data of suicide victims who had suffered from major depressive disorder |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6362893/ https://www.ncbi.nlm.nih.gov/pubmed/30720799 http://dx.doi.org/10.1038/sdata.2019.10 |
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