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论文题目: Analysis of Genome-wide Association Data Highlights Candidates for Drug Repositioning in Psychiatry
作者: So HC, Chau CK, Chiu WT, Ho KS, Lo CP, Yim SH, Sham PC
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发表年度: 2017
DOI: doi:10.1038/nn.4618
摘要:

Knowledge of psychiatric disease genetics has advanced rapidly during the past decade with the advent of genome-wide association studies (GWAS). However, less progress has been made in harnessing these data to reveal new therapies. Here we propose a framework for drug repositioning by comparing transcriptomes imputed from GWAS data with drug-induced gene expression profiles from the Connectivity Map database and apply this approach to seven psychiatric disorders. We found a number of repositioningcandidates, many supported by preclinical or clinical evidence. Repositioning candidates for a number of disorders were also significantly enriched for known psychiatric medications or therapies considered in clinical trials. For example, candidates for schizophrenia were enriched for antipsychotics, while those for bipolar disorder were enriched for both antipsychotics and antidepressants. These findings provide support for the usefulness of GWAS data in guiding drug discovery

刊物名称: Nature Neuroscience
论文出处: http://www.nature.com/neuro/journal/vaop/ncurrent/full/nn.4618.html?foxtrotcallback=true
影响因子: 17.839(2016年)