Four Actionable Bottlenecks and Potential Solutions to Translating Psychiatric Genetics Research: An Expert Review.

IF 1.3 4区 医学 Q4 GENETICS & HEREDITY Public Health Genomics Pub Date : 2020-01-01 Epub Date: 2020-11-04 DOI:10.1159/000510832
Jessica L Bourdon, Rachel A Davies, Elizabeth C Long
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Abstract

Background: Psychiatric genetics has had limited success in translational efforts. A thorough understanding of the present state of translation in this field will be useful in the facilitation and assessment of future translational progress.

Purpose: A narrative literature review was conducted. Combinations of 3 groups of terms were searched in EBSCOhost, Google Scholar, and PubMed. The review occurred in multiple steps, including abstract collection, inclusion/exclusion criteria review, coding, and analysis of included papers.

Results: One hundred and fourteen articles were analyzed for the narrative review. Across those, 4 bottlenecks were noted that, if addressed, may provide insights and help improve and increase translation in the field of psychiatric genetics. These 4 bottlenecks are emphasizing linear translational frameworks, relying on molecular genomic findings, prioritizing certain psychiatric disorders, and publishing more reviews than experiments.

Conclusions: These entwined bottlenecks are examined with one another. Awareness of these bottlenecks can inform stakeholders who work to translate and/or utilize psychiatric genetic information. Potential solutions include utilizing nonlinear translational frameworks as well as a wider array of psychiatric genetic information (e.g., family history and gene-environment interplay) in this area of research, expanding which psychiatric disorders are considered for translation, and when possible, conducting original research. Researchers are urged to consider how their research is translational in the context of the frameworks, genetic information, and psychiatric disorders discussed in this review. At a broader level, these efforts should be supported with translational efforts in funding and policy shifts.

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转化精神病遗传学研究的四个可行瓶颈和潜在解决方案:专家评论。
背景:精神病遗传学在转化工作中取得的成功有限。全面了解该领域的转化现状将有助于促进和评估未来的转化进展。在 EBSCOhost、Google Scholar 和 PubMed 上搜索了 3 组术语的组合。综述分多个步骤进行,包括摘要收集、纳入/排除标准审查、编码以及对纳入论文的分析:对 114 篇文章进行了叙述性综述分析。在这些文章中,我们注意到了 4 个瓶颈,如果能够解决这些瓶颈,就能为精神病遗传学领域提供深入的见解,并有助于改善和提高该领域的转化率。这4个瓶颈是强调线性转化框架、依赖分子基因组学发现、优先考虑某些精神疾病以及发表综述多于实验:结论:对这些相互交织的瓶颈进行了研究。对这些瓶颈的认识可以为致力于翻译和/或利用精神疾病遗传信息的相关人员提供信息。潜在的解决方案包括:在这一研究领域利用非线性转化框架以及更广泛的精神疾病遗传信息(如家族史和基因-环境相互作用),扩大考虑转化的精神疾病范围,以及在可能的情况下开展原创性研究。我们敦促研究人员结合本综述中讨论的框架、遗传信息和精神疾病,考虑他们的研究如何进行转化。在更广泛的层面上,这些工作应得到转化工作在资金和政策转变方面的支持。
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来源期刊
Public Health Genomics
Public Health Genomics 医学-公共卫生、环境卫生与职业卫生
CiteScore
2.90
自引率
0.00%
发文量
14
审稿时长
>12 weeks
期刊介绍: ''Public Health Genomics'' is the leading international journal focusing on the timely translation of genome-based knowledge and technologies into public health, health policies, and healthcare as a whole. This peer-reviewed journal is a bimonthly forum featuring original papers, reviews, short communications, and policy statements. It is supplemented by topic-specific issues providing a comprehensive, holistic and ''all-inclusive'' picture of the chosen subject. Multidisciplinary in scope, it combines theoretical and empirical work from a range of disciplines, notably public health, molecular and medical sciences, the humanities and social sciences. In so doing, it also takes into account rapid scientific advances from fields such as systems biology, microbiomics, epigenomics or information and communication technologies as well as the hight potential of ''big data'' for public health.
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