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Integrative genetic and epigenetic analysis uncovers regulatory mechanisms of autoimmune disease

Parisa Shooshtari, View ORCID ProfileHailieng Huang, View ORCID ProfileChris Cotsapas
doi: https://doi.org/10.1101/054361
Parisa Shooshtari
1 Department of Neurology, Yale School of Medicine, New Haven CT, USA
2 Program in Medical and Population Genetics and Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USA
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Hailieng Huang
2 Program in Medical and Population Genetics and Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USA
3 Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
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Chris Cotsapas
1 Department of Neurology, Yale School of Medicine, New Haven CT, USA
2 Program in Medical and Population Genetics and Stanley Center for Psychiatric Research, Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USA
4 Department of Genetics, Yale School of Medicine, New Haven CT, USA
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  • For correspondence: cotsapas@broadinstitute.org
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Abstract

Genome-wide association studies in autoimmune and inflammatory diseases (AID) have uncovered hundreds of loci mediating risk1,2. These associations are preferentially located in non-coding DNA regions3,4 and in particular to tissue-specific Dnase I hypersensitivity sites (DHS)5,6. Whilst these analyses clearly demonstrate the overall enrichment of disease risk alleles on gene regulatory regions, they are not designed to identify individual regulatory regions mediating risk or the genes under their control, and thus uncover the specific molecular events driving disease risk. To do so we have departed from standard practice by identifying regulatory regions which replicate across samples, and connect them to the genes they control through robust re-analysis of public data. We find substantial evidence of regulatory potential in 132/301 (44%) risk loci across nine autoimmune and inflammatory diseases, and are able to prioritize a single gene in 104/132 (79%) of these. Thus, we are able to generate testable mechanistic hypotheses of the molecular changes that drive disease risk.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC 4.0 International license.
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Posted May 19, 2016.
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Integrative genetic and epigenetic analysis uncovers regulatory mechanisms of autoimmune disease
Parisa Shooshtari, Hailieng Huang, Chris Cotsapas
bioRxiv 054361; doi: https://doi.org/10.1101/054361
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Integrative genetic and epigenetic analysis uncovers regulatory mechanisms of autoimmune disease
Parisa Shooshtari, Hailieng Huang, Chris Cotsapas
bioRxiv 054361; doi: https://doi.org/10.1101/054361

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