双相情感障碍队列中自杀未遂的全外显子组序列数据评估。

Molecular Neuropsychiatry Pub Date : 2017-07-01 Epub Date: 2017-01-18 DOI:10.1159/000454773
Eric T Monson, Mehdi Pirooznia, Jennifer Parla, Melissa Kramer, Fernando S Goes, Marie E Gaine, Sophia C Gaynor, Kelly de Klerk, Dubravka Jancic, Rachel Karchin, W Richard McCombie, Peter P Zandi, James B Potash, Virginia L Willour
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引用次数: 12

摘要

自杀行为是一种复杂且具有破坏性的表型,具有遗传成分,现有的常见遗传变异分析尚未完全解释。这项研究代表了第一个大规模的DNA测序项目,旨在评估罕见的功能性基因变异在自杀行为风险中的作用。为了实现这一目标,对387名有自杀企图史的双相情感障碍患者和631名没有自杀企图的双相情感障碍患者进行了约19,000个基因的全外显子组测序。在所有外显子组基因中评估了罕见的功能变异,以及假设有助于自杀行为风险的途径。没有结果在保守的Bonferroni修正中幸存下来,尽管出现了许多值得额外关注的启发性发现。此外,还观察到对基因(如BDNF)和通路(如下丘脑-垂体-肾上腺轴)过去的关联的名义支持。最后,我们发现了一个由醛脱氢酶基因驱动的新途径。最终,这项调查探索了自杀行为中现有研究未触及的变异,为未来的调查提供了丰富的新信息,如荟萃分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Assessment of Whole-Exome Sequence Data in Attempted Suicide within a Bipolar Disorder Cohort.

Suicidal behavior is a complex and devastating phenotype with a heritable component that has not been fully explained by existing common genetic variant analyses. This study represents the first large-scale DNA sequencing project designed to assess the role of rare functional genetic variation in suicidal behavior risk. To accomplish this, whole-exome sequencing data for ∼19,000 genes were generated for 387 bipolar disorder subjects with a history of suicide attempt and 631 bipolar disorder subjects with no prior suicide attempts. Rare functional variants were assessed in all exome genes as well as pathways hypothesized to contribute to suicidal behavior risk. No result survived conservative Bonferroni correction, though many suggestive findings have arisen that merit additional attention. In addition, nominal support for past associations in genes, such as BDNF, and pathways, such as the hypothalamic-pituitary-adrenal axis, was also observed. Finally, a novel pathway was identified that is driven by aldehyde dehydrogenase genes. Ultimately, this investigation explores variation left largely untouched by existing efforts in suicidal behavior, providing a wealth of novel information to add to future investigations, such as meta-analyses.

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