The role of polygenic risk score gene-set analysis in the context of the omnigenic model of schizophrenia
Author:
Funder
Irish Research Council
Science Foundation Ireland
Publisher
Springer Science and Business Media LLC
Subject
Psychiatry and Mental health,Pharmacology
Link
http://www.nature.com/articles/s41386-019-0410-z.pdf
Reference45 articles.
1. Ripke S, Neale BM, Corvin A, Walters JT, Farh KH, Holmans PA, et al. Biological insights from 108 schizophrenia-associated genetic loci. Nature. 2014;511:421–7.
2. Mitchell KJ. The genetics of neurodevelopmental disorders. Hoboken, NJ, USA: John Wiley & Sons; 2015.
3. Purcell S, Wray N, Stone J, Visscher P, O’Donovan M, Sullivan P, et al. Common polygenic variation contributes to risk of schizophrenia and bipolar disorder. Nature. 2009;460:748–52.
4. Nicodemus KK, Hargreaves A, Morris D, Anney R, Gill M, Corvin A, et al. Variability in working memory performance explained by epistasis vs olygenic scores in the ZNF804A pathway. JAMA Psychiatry. 2014;71:778.
5. Subramanian A, Tamayo P, Mootha VK, Mukherjee S, Ebert BL, Gillette MA, et al. Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles. Proc Natl Acad Sci. 2005;102:15545–50.
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