Comprehensive epigenomic profiling reveals the extent of disease-specific chromatin states and informs target discovery in ankylosing spondylitis

全面的表观基因组分析揭示了疾病特异性染色质状态的程度,并为强直性脊柱炎的靶点发现提供了信息。

阅读:8
作者:Andrew C Brown ,Carla J Cohen ,Olga Mielczarek ,Gabriele Migliorini ,Félicie Costantino ,Alice Allcock ,Connor Davidson ,Katherine S Elliott ,Hai Fang ,Alicia Lledó Lara ,Alice C Martin ,Julie A Osgood ,Anna Sanniti ,Giuseppe Scozzafava ,Matteo Vecellio ,Ping Zhang ,Mary Helen Black ,Shuwei Li ,Dongnhu Truong ,Julio Molineros ,Trevor Howe ,B Paul Wordsworth ,Paul Bowness ,Julian C Knight

Abstract

Ankylosing spondylitis (AS) is a common, highly heritable inflammatory arthritis characterized by enthesitis of the spine and sacroiliac joints. Genome-wide association studies (GWASs) have revealed more than 100 genetic associations whose functional effects remain largely unresolved. Here, we present a comprehensive transcriptomic and epigenomic map of disease-relevant blood immune cell subsets from AS patients and healthy controls. We find that, while CD14+ monocytes and CD4+ and CD8+ T cells show disease-specific differences at the RNA level, epigenomic differences are only apparent upon multi-omics integration. The latter reveals enrichment at disease-associated loci in monocytes. We link putative functional SNPs to genes using high-resolution Capture-C at 10 loci, including PTGER4 and ETS1, and show how disease-specific functional genomic data can be integrated with GWASs to enhance therapeutic target discovery. This study combines epigenetic and transcriptional analysis with GWASs to identify disease-relevant cell types and gene regulation of likely pathogenic relevance and prioritize drug targets.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。