4.6 Article

Correspondence of DNA Methylation Between Blood and Brain Tissue and Its Application to Schizophrenia Research

Journal

SCHIZOPHRENIA BULLETIN
Volume 42, Issue 2, Pages 406-414

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/schbul/sbv074

Keywords

DNA methylation; cross-tissue; blood; brain; correlation; schizophrenia

Categories

Funding

  1. National Institutes of Health [NIH/NCRR P41RR14075, K08 MH068540, NIH: 2P20GM103472-06]
  2. Department of Energy [DE-FG02-99ER62764]
  3. MIND Research Network, Morphometry BIRN [1U24, RR021382A]
  4. Function BIRN [U24RR021992-01, NIH.NCRR MO1 RR025758-01]
  5. National Institute of General Medical Sciences [NIGMS P20-GM103472]
  6. National Institute of Biomedical Imaging and Bioengineering [NIBIB 2R01-EB000840]
  7. National Association for Research in Schizophrenia and Affective Disorders (NARSAD)
  8. German Ministry for Education, Research and Technology (BMBF) [13N10777]
  9. Friedrich-Ebert foundation
  10. MRC [MC_UU_12013/2, MC_UU_12013/1] Funding Source: UKRI
  11. Medical Research Council [MC_UU_12013/2, MC_UU_12013/1] Funding Source: researchfish

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Given the difficulty of procuring human brain tissue, a key question in molecular psychiatry concerns the extent to which epigenetic signatures measured in more accessible tissues such as blood can serve as a surrogate marker for the brain. Here, we aimed (1) to investigate the blood-brain correspondence of DNA methylation using a within-subject design and (2) to identify changes in DNA methylation of brain-related biological pathways in schizophrenia. We obtained paired blood and temporal lobe biopsy samples simultaneously from 12 epilepsy patients during neurosurgical treatment. Using the Infinium 450K methylation array we calculated similarity of blood and brain DNA methylation for each individual separately. We applied our findings by performing gene set enrichment analyses (GSEA) of peripheral blood DNA methylation data (Infinium 27K) of 111 schizophrenia patients and 122 healthy controls and included only Cytosine-phosphate-Guanine (CpG) sites that were significantly correlated across tissues. Only 7.9% of CpG sites showed a statistically significant, large correlation between blood and brain tissue, a proportion that although small was significantly greater than predicted by chance. GSEA analysis of schizophrenia data revealed altered methylation profiles in pathways related to precursor metabolites and signaling peptides. Our findings indicate that most DNA methylation markers in peripheral blood do not reliably predict brain DNA methylation status. However, a subset of peripheral data may proxy methylation status of brain tissue. Restricting the analysis to these markers can identify meaningful epigenetic differences in schizophrenia and potentially other brain disorders.

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