Department of Medical Biology, Faculty of Medicine, University of Szeged, Somogyi B. u. 4., Szeged, H-6720, Hungary.
Department of Paediatrics, Faculty of Medicine, University of Szeged, Korányi fasor 14-15., Szeged, H-6720, Hungary.
Sci Data. 2019 Feb 5;6:190010. doi: 10.1038/sdata.2019.10.
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.
自杀是全球主要死亡原因之一,每年导致超过 100 万人死亡。自杀是一种复杂的、多因素的表型,环境和遗传因素导致即将发生的自杀风险。这些因素通常首先导致精神障碍,如抑郁症、精神分裂症和双相情感障碍,然后成为自杀的直接原因。在这里,我们提供了一个高质量的数据集(包括处理后的 BAM 和 VCF 文件),该数据集来自 23 名自杀受害者的高通量全外显子 Illumina 测序,他们都患有重度抑郁症,以及 21 名对照患者,两组的深度至少为 40 倍覆盖。我们在每个样本中鉴定了约 130000 个变体,总共在 44 个样本的队列中鉴定了 442270 个独特变体。据我们所知,这是第一个来自自杀受害者的全外显子组测序数据集。我们希望该数据集为自杀和抑郁的基因组研究以及对匈牙利人群的分析提供有用的信息。