Evaluation of chromatin accessibility in prefrontal cortex of individuals with schizophrenia
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...
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| Vydáno v: | Nature communications Ročník 9; číslo 1; s. 3121 - 15 |
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| Hlavní autoři: | , , , , , , , , , , , , , , , , , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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London
Nature Publishing Group UK
07.08.2018
Nature Publishing Group Nature Portfolio |
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| ISSN: | 2041-1723, 2041-1723 |
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| 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.
Chromatin accessibility may be altered in disease states. Here the authors carry out ATAC-seq on a large number of samples of dorsolateral prefrontal cortex from individuals with schizophrenia, and healthy controls. |
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| AbstractList | 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. 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. Chromatin accessibility may be altered in disease states. Here the authors carry out ATAC-seq on a large number of samples of dorsolateral prefrontal cortex from individuals with schizophrenia, and healthy controls. 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. Chromatin accessibility may be altered in disease states. Here the authors carry out ATAC-seq on a large number of samples of dorsolateral prefrontal cortex from individuals with schizophrenia, and healthy controls. Chromatin accessibility may be altered in disease states. Here the authors carry out ATAC-seq on a large number of samples of dorsolateral prefrontal cortex from individuals with schizophrenia, and healthy controls. 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.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. |
| ArticleNumber | 3121 |
| Author | Fullard, John F. Ashley-Koch, Allison Safi, Alexias Giusti-Rodriguez, Paola Garrett, Melanie E. White, Kevin P. Shieh, Annie W. Reddy, Timothy E. Roussos, Panos Johnson, Graham D. Liu, Chunyu Sullivan, Patrick F. Song, Lingyun Akbarian, Schahram Crawford, Gregory E. Buil, Alfonso Stockmeier, Craig A. Sklar, Pamela Bryois, Julien Haroutunian, Vahram Wray, Gregory A. |
| Author_xml | – sequence: 1 givenname: Julien orcidid: 0000-0002-4747-2166 surname: Bryois fullname: Bryois, Julien organization: Department of Medical Epidemiology and Biostatistics, Karolinska Institutet – sequence: 2 givenname: Melanie E. surname: Garrett fullname: Garrett, Melanie E. organization: Duke Molecular Physiology Institute – sequence: 3 givenname: Lingyun surname: Song fullname: Song, Lingyun organization: Center for Genomic and Computational Biology, Duke University – sequence: 4 givenname: Alexias surname: Safi fullname: Safi, Alexias organization: Center for Genomic and Computational Biology, Duke University – sequence: 5 givenname: Paola orcidid: 0000-0002-1921-1305 surname: Giusti-Rodriguez fullname: Giusti-Rodriguez, Paola organization: Department of Genetics, University of North Carolina – sequence: 6 givenname: Graham D. orcidid: 0000-0003-0723-4697 surname: Johnson fullname: Johnson, Graham D. organization: Center for Genomic and Computational Biology, Duke University – sequence: 7 givenname: Annie W. surname: Shieh fullname: Shieh, Annie W. organization: Department of Psychiatry, SUNY Upstate Medical University – sequence: 8 givenname: Alfonso surname: Buil fullname: Buil, Alfonso organization: Research Institute of Biological Psychiatry, Mental Health Center Sct. Hans – sequence: 9 givenname: John F. surname: Fullard fullname: Fullard, John F. organization: Department of Psychiatry and Neuroscience, Icahn School of Medicine at Mount Sinai – sequence: 10 givenname: Panos orcidid: 0000-0002-4640-6239 surname: Roussos fullname: Roussos, Panos organization: Department of Psychiatry and Neuroscience, Icahn School of Medicine at Mount Sinai, Department of Genetics and Genomic Sciences and Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, Mental Illness Research Education and Clinical Center (MIRECC), James J. Peters VA Medical Center – sequence: 11 givenname: Pamela surname: Sklar fullname: Sklar, Pamela organization: Department of Psychiatry and Neuroscience, Icahn School of Medicine at Mount Sinai – sequence: 12 givenname: Schahram orcidid: 0000-0001-7700-0891 surname: Akbarian fullname: Akbarian, Schahram organization: Department of Psychiatry and Neuroscience, Icahn School of Medicine at Mount Sinai – sequence: 13 givenname: Vahram orcidid: 0000-0001-5860-2512 surname: Haroutunian fullname: Haroutunian, Vahram organization: Department of Psychiatry and Neuroscience, Icahn School of Medicine at Mount Sinai, MIRECC, JJ Peters VA Medical Center – sequence: 14 givenname: Craig A. orcidid: 0000-0003-1861-1013 surname: Stockmeier fullname: Stockmeier, Craig A. organization: Department of Psychiatry and Human Behavior, Center for Psychiatric Neuroscience, University of Mississippi Medical Center – sequence: 15 givenname: Gregory A. surname: Wray fullname: Wray, Gregory A. organization: Center for Genomic and Computational Biology, Duke University, Department of Biology, Duke University – sequence: 16 givenname: Kevin P. surname: White fullname: White, Kevin P. organization: Department of Human Genetics, University of Chicago – sequence: 17 givenname: Chunyu surname: Liu fullname: Liu, Chunyu organization: Department of Psychiatry, SUNY Upstate Medical University – sequence: 18 givenname: Timothy E. orcidid: 0000-0002-7629-061X surname: Reddy fullname: Reddy, Timothy E. organization: Center for Genomic and Computational Biology, Duke University, Department of Biostatistics and Bioinformatics, Duke University – sequence: 19 givenname: Allison surname: Ashley-Koch fullname: Ashley-Koch, Allison organization: Duke Molecular Physiology Institute, Department of Medicine, Duke University – sequence: 20 givenname: Patrick F. orcidid: 0000-0002-6619-873X surname: Sullivan fullname: Sullivan, Patrick F. email: pfsulliv@med.unc.edu organization: Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Department of Genetics, University of North Carolina, Department of Psychiatry, University of North Carolina – sequence: 21 givenname: Gregory E. orcidid: 0000-0001-6106-2772 surname: Crawford fullname: Crawford, Gregory E. email: greg.crawford@duke.edu organization: Center for Genomic and Computational Biology, Duke University, Department of Pediatrics, Division of Medical Genetics, Duke University |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/30087329$$D View this record in MEDLINE/PubMed |
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| Copyright | The Author(s) 2018 2018. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
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| Snippet | Schizophrenia genome-wide association studies have identified >150 regions of the genome associated with disease risk, yet there is little evidence that coding... Chromatin accessibility may be altered in disease states. Here the authors carry out ATAC-seq on a large number of samples of dorsolateral prefrontal cortex... |
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| SubjectTerms | 13 38 45 631/337/100/102 631/378/1689/1799 Accessibility Age Aged Aged, 80 and over Brain Brain - physiopathology Chromatin Chromatin - chemistry Conserved sequence Female Gene Expression Profiling Gene mapping Genome-wide association studies Genome-Wide Association Study Genomes Health risks Heritability High-Throughput Nucleotide Sequencing Humanities and Social Sciences Humans Male Mental disorders Middle Aged multidisciplinary Mutation Non-coding RNA Polymorphism, Single Nucleotide Prefrontal cortex Prefrontal Cortex - metabolism Quantitative Trait Loci Regulatory sequences Risk Schizophrenia Schizophrenia - genetics Schizophrenia - metabolism Science Science (multidisciplinary) Sequence Analysis, DNA |
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| Title | Evaluation of chromatin accessibility in prefrontal cortex of individuals with schizophrenia |
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