Imaging Genetics and Genomics in Psychiatry: A Critical Review of Progress and Potential.
Imaging Genetics and Genomics in Psychiatry: A Critical Review of Progress and Potential.
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DOI：
10.1016/j.biopsych.2016.12.030
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发表时间：
2017-08-01
影响因子：
10.6
通讯作者：
Goldman D
中科院分区：
文献类型：
--
作者：
Bogdan R;Salmeron BJ;Carey CE;Agrawal A;Calhoun VD;Garavan H;Hariri AR;Heinz A;Hill MN;Holmes A;Kalin NH;Goldman D
成像遗传学和基因组学研究已经开始为神经表型的分子和遗传结构以及精神病理遗传风险可能出现的神经机制提供见解。随着影像遗传学进入第三个十年，它面临着许多挑战，包括使用小样本量和不同设计的研究的扩散，有限的复制，用于荟萃分析的神经表型的协调问题，不明确的机制，以及效应大小可能比最初假设的更温和的证据，越来越多的证据表明多基因性。这些问题鼓励了该领域在许多新的方向上发展，包括联盟和大规模数据收集项目的发展以及新方法（例如，多基因方法，机器学习）的使用，这些方法提高了成像遗传研究的质量，但也带来了新的挑战。在这里，我们批判性地回顾了成像遗传学的进展，并提出了建议，并强调了新方法的潜在缺陷。最终，成像遗传学和基因组学的优势在于其与其他研究方法（例如，非人类动物模型，精神遗传学，药理学挑战）的转化和整合潜力，以阐明导致行为和精神病理学风险的巨大个体差异的基于大脑的途径。
Imaging genetics and genomics research has begun to provide insight into the molecular and genetic architecture of neural phenotypes and the neural mechanisms through which genetic risk for psychopathology may emerge. As it approaches its third decade, imaging genetics is confronted by many challenges including the proliferation of studies using small sample sizes and diverse designs, limited replication, problems with harmonization of neural phenotypes for meta-analysis, unclear mechanisms, and evidence that effect sizes may be more modest than originally posited, with increasing evidence of polygenicity. These concerns have encouraged the field to grow in many new directions including the development of consortia and large scale data collection projects as well as the use of novel methods (e.g., polygenic approaches, machine learning), which enhance the quality of imaging genetic studies, but also introduce new challenges. Here, we critically review progress in imaging genetics and offer suggestions and highlight potential pitfalls of novel approaches. Ultimately, the strength of imaging genetics and genomics lies in its translational and integrative potential with other research approaches (e.g., non-human animal models, psychiatric genetics, pharmacologic challenge) to elucidate brain-based pathways that give rise to the vast individual differences in behavior as well as risk for psychopathology.
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影响因子：
9.3
作者：
Agrawal A;Bogdan R
通讯作者：
Bogdan R
影响因子：
30.8
作者：
Bulik-Sullivan, Brendan K.;Loh, Po-Ru;Finucane, Hilary K.;Ripke, Stephan;Yang, Jian;Patterson, Nick;Daly, Mark J.;Price, Alkes L.;Neale, Benjamin M.
通讯作者：
Neale, Benjamin M.
影响因子：
16.2
作者：
Arloth J;Bogdan R;Weber P;Frishman G;Menke A;Wagner KV;Balsevich G;Schmidt MV;Karbalai N;Czamara D;Altmann A;Trümbach D;Wurst W;Mehta D;Uhr M;Klengel T;Erhardt A;Carey CE;Conley ED;Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium (PGC);Ruepp A;Müller-Myhsok B;Hariri AR;Binder EB;Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium PGC
通讯作者：
Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium PGC
影响因子：
120.7
作者：
Bjornsson, Hans T.;Sigurdsson, Martin I.;Feinberg, Andrew P.
通讯作者：
Feinberg, Andrew P.
影响因子：
8.2
作者：
Bastiaansen, Jojanneke A.;Servaas, Michelle N.;Aleman, Andre
通讯作者：
Aleman, Andre