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1.	Breen, MS, et al. (author) Global landscape and genetic regulation of RNA editing in cortical samples from individuals with schizophrenia 2019 In: Nature neuroscience. - : Springer Science and Business Media LLC. - 1546-1726 .- 1097-6256. ; 22:9, s. 1402- Journal article (peer-reviewed)
2.	Fromer, M, et al. (author) Gene expression elucidates functional impact of polygenic risk for schizophrenia 2016 In: Nature neuroscience. - : Springer Science and Business Media LLC. - 1546-1726 .- 1097-6256. ; 19:11, s. 1442-1453 Journal article (peer-reviewed)
3.	Hauberg, ME, et al. (author) Differential activity of transcribed enhancers in the prefrontal cortex of 537 cases with schizophrenia and controls 2019 In: Molecular psychiatry. - : Springer Science and Business Media LLC. - 1476-5578 .- 1359-4184. ; 24:11, s. 1685-1695 Journal article (peer-reviewed)
4.	Huckins, LM, et al. (author) Gene expression imputation across multiple brain regions provides insights into schizophrenia risk 2019 In: Nature genetics. - : Springer Science and Business Media LLC. - 1546-1718 .- 1061-4036. ; 51:4, s. 659- Journal article (peer-reviewed)
5.	Huckins, LM, et al. (author) Publisher Correction: Gene expression imputation across multiple brain regions provides insights into schizophrenia risk 2019 In: Nature genetics. - : Springer Science and Business Media LLC. - 1546-1718 .- 1061-4036. ; 51:6, s. 1068-1068 Journal article (other academic/artistic)
6.	Sieberts, SK, et al. (author) Crowdsourced assessment of common genetic contribution to predicting anti-TNF treatment response in rheumatoid arthritis 2016 In: Nature communications. - : Springer Science and Business Media LLC. - 2041-1723. ; 7, s. 12460- Journal article (peer-reviewed)abstract Rheumatoid arthritis (RA) affects millions world-wide. While anti-TNF treatment is widely used to reduce disease progression, treatment fails in ∼one-third of patients. No biomarker currently exists that identifies non-responders before treatment. A rigorous community-based assessment of the utility of SNP data for predicting anti-TNF treatment efficacy in RA patients was performed in the context of a DREAM Challenge (http://www.synapse.org/RA_Challenge). An open challenge framework enabled the comparative evaluation of predictions developed by 73 research groups using the most comprehensive available data and covering a wide range of state-of-the-art modelling methodologies. Despite a significant genetic heritability estimate of treatment non-response trait (h2=0.18, P value=0.02), no significant genetic contribution to prediction accuracy is observed. Results formally confirm the expectations of the rheumatology community that SNP information does not significantly improve predictive performance relative to standard clinical traits, thereby justifying a refocusing of future efforts on collection of other data.

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Result 1-6 of 6

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Type of publication: journal article (6)

Type of content: peer-reviewed (5); other academic/artistic (1)

Author/Editor: Sieberts, SK (6); Mangravite, LM (5); Roussos, P (5); Sklar, P (5); Devlin, B. (5); Domenici, E (5); show more...; Ruderfer, DM (5); Peters, MA (4); Fromer, M (4); Buxbaum, JD (4); Haroutunian, V (4); Lewis, DA (4); Hahn, CG (4); Johnson, JS (4); Kramer, R (4); Lipska, BK (4); Shah, HR (4); Sullivan, P (3); Borglum, AD (3); Logsdon, BA (3); Gur, RE (3); Stahl, EA (3); Dobbyn, A (3); Fullard, JF (3); Girdhar, K (3); Perumal, TM (3); Kim, Y. (2); Pardinas, AF (2); Zhang, B. (2); Sullivan, PF (2); Mattheisen, M (2); Cox, NJ (2); Stahl, E (2); O'Donovan, MC (2); Roeder, K. (2); Owen, MJ (2); Purcell, S (2); Purcell, SM (2); Als, TD (2); Schadt, EE (2); Demontis, D. (2); Essioux, L. (2); Boocock, J. (2); Huckins, LM (2); Chess, A (2); Browne, A (2); Hauberg, ME (2); Wang, YC (2); Walters, JTR (2); Im, HK (2); show less...

University: Karolinska Institutet (6); Umeå University (1)

Language: English (6)

Research subject (UKÄ/SCB): Natural sciences (1); Medical and Health Sciences (1)

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