Author
Listed:
- Julien Bryois
(Karolinska Institutet)
- Melanie E. Garrett
(Duke Molecular Physiology Institute)
- Lingyun Song
(Duke University)
- Alexias Safi
(Duke University)
- Paola Giusti-Rodriguez
(University of North Carolina)
- Graham D. Johnson
(Duke University)
- Annie W. Shieh
(SUNY Upstate Medical University)
- Alfonso Buil
(Mental Health Center Sct. Hans)
- John F. Fullard
(Icahn School of Medicine at Mount Sinai)
- Panos Roussos
(Icahn School of Medicine at Mount Sinai
Icahn School of Medicine at Mount Sinai
James J. Peters VA Medical Center)
- Pamela Sklar
(Icahn School of Medicine at Mount Sinai)
- Schahram Akbarian
(Icahn School of Medicine at Mount Sinai)
- Vahram Haroutunian
(Icahn School of Medicine at Mount Sinai
JJ Peters VA Medical Center)
- Craig A. Stockmeier
(University of Mississippi Medical Center)
- Gregory A. Wray
(Duke University
Duke University)
- Kevin P. White
(University of Chicago)
- Chunyu Liu
(SUNY Upstate Medical University)
- Timothy E. Reddy
(Duke University
Duke University)
- Allison Ashley-Koch
(Duke Molecular Physiology Institute
Duke University)
- Patrick F. Sullivan
(Karolinska Institutet
University of North Carolina
University of North Carolina)
- Gregory E. Crawford
(Duke University
Duke University)
Abstract
Schizophrenia genome-wide association studies have identified >150 regions of the genome associated with disease risk, yet there is little evidence that coding mutations contribute to this disorder. To explore the mechanism of non-coding regulatory elements in schizophrenia, we performed ATAC-seq on adult prefrontal cortex brain samples from 135 individuals with schizophrenia and 137 controls, and identified 118,152 ATAC-seq peaks. These accessible chromatin regions in the brain are highly enriched for schizophrenia SNP heritability. Accessible chromatin regions that overlap evolutionarily conserved regions exhibit an even higher heritability enrichment, indicating that sequence conservation can further refine functional risk variants. We identify few differences in chromatin accessibility between cases and controls, in contrast to thousands of age-related differential accessible chromatin regions. Altogether, we characterize chromatin accessibility in the human prefrontal cortex, the effect of schizophrenia and age on chromatin accessibility, and provide evidence that our dataset will allow for fine mapping of risk variants.
Suggested Citation
Julien Bryois & Melanie E. Garrett & Lingyun Song & Alexias Safi & Paola Giusti-Rodriguez & Graham D. Johnson & Annie W. Shieh & Alfonso Buil & John F. Fullard & Panos Roussos & Pamela Sklar & Schahra, 2018.
"Evaluation of chromatin accessibility in prefrontal cortex of individuals with schizophrenia,"
Nature Communications, Nature, vol. 9(1), pages 1-15, December.
Handle:
RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-018-05379-y
DOI: 10.1038/s41467-018-05379-y
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