| Literature DB >> 27786187 |
Gerome Breen1,2, Qingqin Li3, Bryan L Roth4,5,6, Patricio O'Donnell7, Michael Didriksen8, Ricardo Dolmetsch9, Paul F O'Reilly1, Héléna A Gaspar1,2, Husseini Manji3, Christopher Huebel1,2, John R Kelsoe10, Dheeraj Malhotra11, Alessandro Bertolino12, Danielle Posthuma13,14, Pamela Sklar15,16,17, Shitij Kapur18, Patrick F Sullivan19,20, David A Collier1,2,21, Howard J Edenberg22,23.
Abstract
Genome-wide association studies (GWAS) in psychiatry, once they reach sufficient sample size and power, have been enormously successful. The Psychiatric Genomics Consortium (PGC) aims for mega-analyses with sample sizes that will grow to >1 million individuals in the next 5 years. This should lead to hundreds of new findings for common genetic variants across nine psychiatric disorders studied by the PGC. The new targets discovered by GWAS have the potential to restart largely stalled psychiatric drug development pipelines, and the translation of GWAS findings into the clinic is a key aim of the recently funded phase 3 of the PGC. This is not without considerable technical challenges. These approaches complement the other main aim of GWAS studies, risk prediction approaches for improving detection, differential diagnosis, and clinical trial design. This paper outlines the motivations, technical and analytical issues, and the plans for translating PGC phase 3 findings into new therapeutics.Entities:
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Year: 2016 PMID: 27786187 PMCID: PMC5676453 DOI: 10.1038/nn.4411
Source DB: PubMed Journal: Nat Neurosci ISSN: 1097-6256 Impact factor: 24.884