作者
Roger S McIntyre, Danielle S Cha, Jeanette M Jerrell, Walter Swardfager, Rachael D Kim, Leonardo G Costa, Anusha Baskaran, Joanna K Soczynska, Hanna O Woldeyohannes, Rodrigo B Mansur, Elisa Brietzke, Alissa M Powell, Ashley Gallaugher, Paul Kudlow, Oksana Kaidanovich‐Beilin, Mohammad Alsuwaidan
发表日期
2014/8
来源
Bipolar disorders
卷号
16
期号
5
页码范围
531-547
简介
Objective
To provide a strategic framework for the prevention of bipolar disorder (BD) that incorporates a ‘Big Data’ approach to risk assessment for BD.
Methods
Computerized databases (e.g., Pubmed, PsychInfo, and MedlinePlus) were used to access English‐language articles published between 1966 and 2012 with the search terms bipolar disorder, prodrome, ‘Big Data’, and biomarkers cross‐referenced with genomics/genetics, transcriptomics, proteomics, metabolomics, inflammation, oxidative stress, neurotrophic factors, cytokines, cognition, neurocognition, and neuroimaging. Papers were selected from the initial search if the primary outcome(s) of interest was (were) categorized in any of the following domains: (i) ‘omics’ (e.g., genomics), (ii) molecular, (iii) neuroimaging, and (iv) neurocognitive.
Results
The current strategic approach to identifying individuals at risk for BD, with an emphasis on phenotypic …
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