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Large-scale analysis of DNA methylation identifies cellular alterations in blood from psychosis patients and molecular biomarkers of treatment-resistant schizophrenia

Authors :
Hannon, Eilis
Dempster, Emma L
Mansell, Georgina
Burrage, Joe
Bass, Nick
Bohlken, Marc M
Corvin, Aiden
Curtis, Charles J
Dempster, David
Di Forta, Marta
Dinan, Timothy G
Donohoe, Gary
Gaughran, Fiona
Gill, Michael
Gillespie, Amy
Gunasinghe, Cerisse
Hulshoff, Hilleke E
Hultman, Christina M
Johansson, Viktoria
Kahn, Rene S
Kaprio, Jaakko
Kenis, Gunter
Kowalec, Kaarina
MacCabe, James
McDonald, Colm
McQuillin, Andew
Morris, Derek W
Murphy, Kieran C
Mustard, Collette
Nenadic, Igor
O’Donovan, Michael C
Quattrone, Diego
Richards, Alexander L
Rutten, Bart PF
Clair, David St
Therman, Sebastian
Toulopoulou, Timothea
Van Os, Jim
Waddington, John L
Sullivan, Patrick
Vassos, Evangelos
Breen, Gerome
Collier, David Andrew
Murray, Robin
Schalkwyk, Leonard S
Mill, Jonathan
Publication Year :
2020
Publisher :
Cold Spring Harbor Laboratory, 2020.

Abstract

ObjectivePsychosis - a complex and heterogeneous neuropsychiatric condition characterized by hallucinations and delusions - is a common feature of schizophrenia. There is evidence for altered DNA methylation (DNAm) associated with schizophrenia in both brain and peripheral tissues. We aimed to undertake a systematic analysis of variable DNAm associated with psychosis, schizophrenia, and treatment-resistant schizophrenia, also exploring measures of biological ageing, smoking, and blood cell composition derived from DNAm data to identify molecular biomarkers of disease.MethodsWe quantified DNAm across the genome in blood samples from 4,483 participants from seven case-control cohorts including patients with schizophrenia or first-episode psychosis. Measures of biological age, cellular composition and smoking status were derived from DNAm data using established algorithms. DNAm and derived measures were analyzed within each cohort and the results combined by meta-analysis.ResultsPsychosis cases were characterized by significant differences in measures of blood cell proportions and elevated smoking exposure derived from the DNAm data, with the largest differences seen in treatment-resistant schizophrenia patients. DNAm at 95 CpG sites was significantly different between psychosis cases and controls, with 1,048 differentially methylated positions (DMPs) identified between schizophrenia cases and controls. Schizophrenia-associated DMPs colocalize to regions identified in genetic association studies, with genes annotated to these sites enriched for pathways relevant to disease. Finally, a number of the schizophrenia associated differences were only present in the treatment-resistant schizophrenia subgroup.ConclusionsWe show that DNAm data can be leveraged to derive measures of blood cell counts and smoking that are strongly associated with psychosis. Our DNAm meta-analysis identified multiple DMPs associated with both psychosis and a more refined diagnosis of schizophrenia, with evidence for differential methylation associated with treatment-resistant schizophrenia that potentially reflects exposure to clozapine.

Details

Language :
English
Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....cdf75fdff9a1bd08deb383db1f319ba4
Full Text :
https://doi.org/10.1101/2020.04.05.026211