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常见思维联盟为精神分裂症和双相情感障碍提供转录组学和表观基因组学数据。

CommonMind Consortium provides transcriptomic and epigenomic data for Schizophrenia and Bipolar Disorder.

机构信息

Pamela Sklar Division of Psychiatric Genomics, Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA.

Icahn Institute for Data Science and Genomic Technology, Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA.

出版信息

Sci Data. 2019 Sep 24;6(1):180. doi: 10.1038/s41597-019-0183-6.

Abstract

Schizophrenia and bipolar disorder are serious mental illnesses that affect more than 2% of adults. While large-scale genetics studies have identified genomic regions associated with disease risk, less is known about the molecular mechanisms by which risk alleles with small effects lead to schizophrenia and bipolar disorder. In order to fill this gap between genetics and disease phenotype, we have undertaken a multi-cohort genomics study of postmortem brains from controls, individuals with schizophrenia and bipolar disorder. Here we present a public resource of functional genomic data from the dorsolateral prefrontal cortex (DLPFC; Brodmann areas 9 and 46) of 986 individuals from 4 separate brain banks, including 353 diagnosed with schizophrenia and 120 with bipolar disorder. The genomic data include RNA-seq and SNP genotypes on 980 individuals, and ATAC-seq on 269 individuals, of which 264 are a subset of individuals with RNA-seq. We have performed extensive preprocessing and quality control on these data so that the research community can take advantage of this public resource available on the Synapse platform at http://CommonMind.org .

摘要

精神分裂症和双相情感障碍是严重的精神疾病,影响超过 2%的成年人。尽管大规模的遗传学研究已经确定了与疾病风险相关的基因组区域,但对于风险等位基因如何通过小的影响导致精神分裂症和双相情感障碍的分子机制知之甚少。为了填补遗传学和疾病表型之间的这一空白,我们对来自 4 个不同脑库的对照、精神分裂症和双相情感障碍患者的死后大脑进行了多队列基因组学研究。在这里,我们展示了来自 4 个脑库的 986 个人的背外侧前额叶皮层(DLPFC;Brodmann 区域 9 和 46)的功能基因组数据的公共资源,其中包括 353 名被诊断为精神分裂症的患者和 120 名双相情感障碍患者。基因组数据包括 980 个人的 RNA-seq 和 SNP 基因型,以及 269 个人的 ATAC-seq,其中 264 个人是 RNA-seq 个人的子集。我们已经对这些数据进行了广泛的预处理和质量控制,以便研究界能够利用这个在 Synapse 平台上的公共资源,网址是 http://CommonMind.org

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4332/6760149/d834680ae6c4/41597_2019_183_Fig1_HTML.jpg

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