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      DNA methylation meta-analysis reveals cellular alterations in psychosis and markers of treatment-resistant schizophrenia

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      Author(s)
      Hannon, E.
      Dempster, E. L.
      Mansell, G.
      Burrage, J.
      Bass, N.
      Bohlken, M. M.
      Corvin, A.
      Curtis, C. J.
      Dempster, D.
      Forti, M. D.
      Dinan, T. G.
      Donohoe, G.
      Gaughran, F.
      Gill, M.
      Gillespie, A.
      Gunasinghe, C.
      Hulshoff, H. E.
      Hultman, C. M.
      Johansson, V.
      Kahn, R. S.
      Kaprio, J.
      Kenis, G.
      Kowalec, K.
      MacCabe, J.
      McDonald, C.
      McQuillin, A.
      Morris, D. W.
      Murphy, K. C.
      Mustard, C. J.
      Nenadic, I.
      O'Donovan, M. C.
      Quattrone, D.
      Richards, A. L.
      Richards, Bart PF
      Clair, David St
      Therman, T.
      Toulopoulou, Timothea
      Os, Jim Van
      Waddington, J. L.
      Sullivan, P.
      Vassos, E.
      Breen, G.
      Collier, D. A.
      Murray, R. M.
      Schalkwyk, L. S.
      Mill, J.
      Date
      2021-02-26
      Source Title
      eLife
      Print ISSN
      2050-084X
      Publisher
      eLife Sciences Publications Ltd.
      Pages
      1 - 31
      Language
      English
      Type
      Article
      Item Usage Stats
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      Abstract
      We performed a systematic analysis of blood DNA methylation profiles from 4483 participants from seven independent cohorts identifying differentially methylated positions (DMPs) associated with psychosis, schizophrenia, and treatment-resistant schizophrenia. Psychosis cases were characterized by significant differences in measures of blood cell proportions and elevated smoking exposure derived from the DNA methylation data, with the largest differences seen in treatment-resistant schizophrenia patients. We implemented a stringent pipeline to meta-analyze epigenome-wide association study (EWAS) results across datasets, identifying 95 DMPs associated with psychosis and 1048 DMPs associated with schizophrenia, with evidence of colocalization to regions nominated by genetic association studies of disease. Many schizophrenia-associated DNA methylation differences were only present in patients with treatment-resistant schizophrenia, potentially reflecting exposure to the atypical antipsychotic clozapine. Our results highlight how DNA methylation data can be leveraged to identify physiological (e.g., differential cell counts) and environmental (e.g., smoking) factors associated with psychosis and molecular biomarkers of treatment-resistant schizophrenia.
      Permalink
      http://hdl.handle.net/11693/77214
      Published Version (Please cite this version)
      https://dx.doi.org/10.7554/eLife.58430
      Collections
      • Aysel Sabuncu Brain Research Center (BAM) 228
      • Department of Psychology 216
      • National Magnetic Resonance Research Center (UMRAM) 250
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