Literature DB >> 24092328

DNase hypersensitive sites and association with multiple sclerosis.

Giulio Disanto1, Geir Kjetil Sandve, Vito A G Ricigliano, Julia Pakpoor, Antonio J Berlanga-Taylor, Adam E Handel, Jens Kuhle, Lars Holden, Corey T Watson, Gavin Giovannoni, Lahiru Handunnetthi, Sreeram V Ramagopalan.   

Abstract

Genome-wide association studies (GWASs) have shown that approximately 60 genetic variants influence the risk of developing multiple sclerosis (MS). Our aim was to identify the cell types in which these variants are active. We used available data on MS-associated single nucleotide polymorphisms (SNPs) and deoxyribonuclease I hypersensitive sites (DHSs) from 112 different cell types. Genomic intervals were tested for overlap using the Genomic Hyperbrowser. The expression profile of the genes located nearby MS-associated SNPs was assessed using the software GRAIL (Gene Relationships Across Implicated Loci). Genomic regions associated with MS were significantly enriched for a number of immune DHSs and in particular T helper (Th) 1, Th17, CD8+ cytotoxic T cells, CD19+ B cells and CD56+ natural killer (NK) cells (enrichment = 2.34, 2.19, 2.27, 2.05 and 1.95, respectively; P < 0.0001 for all of them). Similar results were obtained when genomic regions with suggestive association with MS and additional immune-mediated traits were investigated. Several new candidate MS-associated genes located within regions of suggestive association were identified by GRAIL (CARD11, FCRL2, CHST12, SYK, TCF7, SOCS1, NFKBIZ and NPAS1). Genetic data indicate that Th1, Th17, cytotoxic T, B and NK cells play a prominent role in the etiology of MS. Regions with confirmed and suggestive association have a similar immunological profile, indicating that many SNPs truly influencing the risk of MS actually fail to reach genome-wide significance. Finally, similar cell types are involved in the etiology of other immune-mediated diseases.

Entities:  

Mesh:

Substances:

Year:  2013        PMID: 24092328     DOI: 10.1093/hmg/ddt489

Source DB:  PubMed          Journal:  Hum Mol Genet        ISSN: 0964-6906            Impact factor:   6.150


  14 in total

Review 1.  Neuroimmunotherapies Targeting T Cells: From Pathophysiology to Therapeutic Applications.

Authors:  Stefan Bittner; Heinz Wiendl
Journal:  Neurotherapeutics       Date:  2016-01       Impact factor: 7.620

Review 2.  Negative Regulation of Cytokine Signaling in Immunity.

Authors:  Akihiko Yoshimura; Minako Ito; Shunsuke Chikuma; Takashi Akanuma; Hiroko Nakatsukasa
Journal:  Cold Spring Harb Perspect Biol       Date:  2018-07-02       Impact factor: 10.005

3.  Multiple Sclerosis Risk Allele in CLEC16A Acts as an Expression Quantitative Trait Locus for CLEC16A and SOCS1 in CD4+ T Cells.

Authors:  Ingvild S Leikfoss; Pankaj K Keshari; Marte W Gustavsen; Anja Bjølgerud; Ina S Brorson; Elisabeth G Celius; Anne Spurkland; Steffan D Bos; Hanne F Harbo; Tone Berge
Journal:  PLoS One       Date:  2015-07-23       Impact factor: 3.240

4.  Identification of a novel mechanism of action of fingolimod (FTY720) on human effector T cell function through TCF-1 upregulation.

Authors:  Maria Antonietta Mazzola; Radhika Raheja; Gopal Murugaiyan; Hasan Rajabi; Deepak Kumar; Thomas Pertel; Keren Regev; Russell Griffin; Lilian Aly; Pia Kivisakk; Parham Nejad; Bonny Patel; Nguendab Gwanyalla; Hillary Hei; Bonnie Glanz; Tanuja Chitnis; Howard L Weiner; Roopali Gandhi
Journal:  J Neuroinflammation       Date:  2015-12-30       Impact factor: 8.322

5.  The refinement of genetic predictors of multiple sclerosis.

Authors:  Giulio Disanto; Ruth Dobson; Julia Pakpoor; Ramyiadarsini I Elangovan; Rocco Adiutori; Jens Kuhle; Gavin Giovannoni
Journal:  PLoS One       Date:  2014-05-02       Impact factor: 3.240

6.  Integrating multiple oestrogen receptor alpha ChIP studies: overlap with disease susceptibility regions, DNase I hypersensitivity peaks and gene expression.

Authors:  Adam E Handel; Geir K Sandve; Giulio Disanto; Lahiru Handunnetthi; Gavin Giovannoni; Sreeram V Ramagopalan
Journal:  BMC Med Genomics       Date:  2013-10-30       Impact factor: 3.063

7.  Several Critical Cell Types, Tissues, and Pathways Are Implicated in Genome-Wide Association Studies for Systemic Lupus Erythematosus.

Authors:  Lu Liu; Xianyong Yin; Leilei Wen; Chao Yang; Yujun Sheng; Yan Lin; Zhengwei Zhu; Changbing Shen; Yinjuan Shi; Yajie Zheng; Sen Yang; Xuejun Zhang; Yong Cui
Journal:  G3 (Bethesda)       Date:  2016-06-01       Impact factor: 3.154

8.  Allelic imbalance of multiple sclerosis susceptibility genes IKZF3 and IQGAP1 in human peripheral blood.

Authors:  Pankaj K Keshari; Hanne F Harbo; Kjell-Morten Myhr; Jan H Aarseth; Steffan D Bos; Tone Berge
Journal:  BMC Genet       Date:  2016-04-14       Impact factor: 2.797

9.  Transcriptomic Analysis of Peripheral Monocytes upon Fingolimod Treatment in Relapsing Remitting Multiple Sclerosis Patients.

Authors:  G Sferruzza; F Clarelli; E Mascia; L Ferrè; L Ottoboni; M Sorosina; S Santoro; L Moiola; V Martinelli; G Comi; F Martinelli Boneschi; M Filippi; P Provero; Federica Esposito
Journal:  Mol Neurobiol       Date:  2021-06-28       Impact factor: 5.590

10.  Smoking Gun or Circumstantial Evidence? Comparison of Statistical Learning Methods using Functional Annotations for Prioritizing Risk Variants.

Authors:  Sarah A Gagliano; Reena Ravji; Michael R Barnes; Michael E Weale; Jo Knight
Journal:  Sci Rep       Date:  2015-08-24       Impact factor: 4.379

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.