Literature DB >> 34188205

Genome editing to define the function of risk loci and variants in rheumatic disease.

Yuriy Baglaenko1,2,3, Dana Macfarlane1,2, Alexander Marson4,5,6,7,8,9,10, Peter A Nigrovic2,11, Soumya Raychaudhuri12,13,14,15,16.   

Abstract

Discoveries in human genetic studies have revolutionized our understanding of complex rheumatic and autoimmune diseases, including the identification of hundreds of genetic loci and single nucleotide polymorphisms that potentially predispose individuals to disease. However, in most cases, the exact disease-causing variants and their mechanisms of action remain unresolved. Functional follow-up of these findings is most challenging for genomic variants that are in non-coding genomic regions, where the large majority of common disease-associated variants are located, and/or that probably affect disease progression via cell type-specific gene regulation. To deliver on the therapeutic promise of human genetic studies, defining the mechanisms of action of these alleles is essential. Genome editing technology, such as CRISPR-Cas, has created a vast toolbox for targeted genetic and epigenetic modifications that presents unprecedented opportunities to decipher disease-causing loci, genes and variants in autoimmunity. In this Review, we discuss the past 5-10 years of progress in resolving the mechanisms underlying rheumatic disease-associated alleles, with an emphasis on how genomic editing techniques can enable targeted dissection and mechanistic studies of causal autoimmune risk variants.
© 2021. Springer Nature Limited.

Entities:  

Year:  2021        PMID: 34188205     DOI: 10.1038/s41584-021-00637-8

Source DB:  PubMed          Journal:  Nat Rev Rheumatol        ISSN: 1759-4790            Impact factor:   20.543


  107 in total

1.  The support of human genetic evidence for approved drug indications.

Authors:  Matthew R Nelson; Hannah Tipney; Jeffery L Painter; Judong Shen; Paola Nicoletti; Yufeng Shen; Aris Floratos; Pak Chung Sham; Mulin Jun Li; Junwen Wang; Lon R Cardon; John C Whittaker; Philippe Sanseau
Journal:  Nat Genet       Date:  2015-06-29       Impact factor: 38.330

Review 2.  The Post-GWAS Era: From Association to Function.

Authors:  Michael D Gallagher; Alice S Chen-Plotkin
Journal:  Am J Hum Genet       Date:  2018-05-03       Impact factor: 11.025

Review 3.  Decoding enhancers using massively parallel reporter assays.

Authors:  Fumitaka Inoue; Nadav Ahituv
Journal:  Genomics       Date:  2015-06-10       Impact factor: 5.736

Review 4.  Twin studies in autoimmune disease: genetics, gender and environment.

Authors:  Dimitrios P Bogdanos; Daniel S Smyk; Eirini I Rigopoulou; Maria G Mytilinaiou; Michael A Heneghan; Carlo Selmi; M Eric Gershwin
Journal:  J Autoimmun       Date:  2011-12-15       Impact factor: 7.094

5.  Conservation and divergence in the transcriptional programs of the human and mouse immune systems.

Authors:  Tal Shay; Vladimir Jojic; Or Zuk; Katherine Rothamel; David Puyraimond-Zemmour; Ting Feng; Ei Wakamatsu; Christophe Benoist; Daphne Koller; Aviv Regev
Journal:  Proc Natl Acad Sci U S A       Date:  2013-02-04       Impact factor: 11.205

Review 6.  Validating therapeutic targets through human genetics.

Authors:  Robert M Plenge; Edward M Scolnick; David Altshuler
Journal:  Nat Rev Drug Discov       Date:  2013-07-19       Impact factor: 84.694

Review 7.  Recent insights in the epidemiology of autoimmune diseases: improved prevalence estimates and understanding of clustering of diseases.

Authors:  Glinda S Cooper; Milele L K Bynum; Emily C Somers
Journal:  J Autoimmun       Date:  2009-10-09       Impact factor: 7.094

8.  Large-scale genome-wide association study in a Japanese population identifies novel susceptibility loci across different diseases.

Authors:  Soumya Raychaudhuri; Johji Inazawa; Toshimasa Yamauchi; Takashi Kadowaki; Michiaki Kubo; Yoichiro Kamatani; Kazuyoshi Ishigaki; Masato Akiyama; Masahiro Kanai; Atsushi Takahashi; Eiryo Kawakami; Hiroki Sugishita; Saori Sakaue; Nana Matoba; Siew-Kee Low; Yukinori Okada; Chikashi Terao; Tiffany Amariuta; Steven Gazal; Yuta Kochi; Momoko Horikoshi; Ken Suzuki; Kaoru Ito; Satoshi Koyama; Kouichi Ozaki; Shumpei Niida; Yasushi Sakata; Yasuhiko Sakata; Takashi Kohno; Kouya Shiraishi; Yukihide Momozawa; Makoto Hirata; Koichi Matsuda; Masashi Ikeda; Nakao Iwata; Shiro Ikegawa; Ikuyo Kou; Toshihiro Tanaka; Hidewaki Nakagawa; Akari Suzuki; Tomomitsu Hirota; Mayumi Tamari; Kazuaki Chayama; Daiki Miki; Masaki Mori; Satoshi Nagayama; Yataro Daigo; Yoshio Miki; Toyomasa Katagiri; Osamu Ogawa; Wataru Obara; Hidemi Ito; Teruhiko Yoshida; Issei Imoto; Takashi Takahashi; Chizu Tanikawa; Takao Suzuki; Nobuaki Sinozaki; Shiro Minami; Hiroki Yamaguchi; Satoshi Asai; Yasuo Takahashi; Ken Yamaji; Kazuhisa Takahashi; Tomoaki Fujioka; Ryo Takata; Hideki Yanai; Akihide Masumoto; Yukihiro Koretsune; Hiromu Kutsumi; Masahiko Higashiyama; Shigeo Murayama; Naoko Minegishi; Kichiya Suzuki; Kozo Tanno; Atsushi Shimizu; Taiki Yamaji; Motoki Iwasaki; Norie Sawada; Hirokazu Uemura; Keitaro Tanaka; Mariko Naito; Makoto Sasaki; Kenji Wakai; Shoichiro Tsugane; Masayuki Yamamoto; Kazuhiko Yamamoto; Yoshinori Murakami; Yusuke Nakamura
Journal:  Nat Genet       Date:  2020-06-08       Impact factor: 38.330

9.  GWAS and drug targets.

Authors:  Chen Cao; John Moult
Journal:  BMC Genomics       Date:  2014-05-20       Impact factor: 3.969

10.  Are drug targets with genetic support twice as likely to be approved? Revised estimates of the impact of genetic support for drug mechanisms on the probability of drug approval.

Authors:  Emily A King; J Wade Davis; Jacob F Degner
Journal:  PLoS Genet       Date:  2019-12-12       Impact factor: 5.917

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  1 in total

Review 1.  Reprogramming the tumor microenvironment by genome editing for precision cancer therapy.

Authors:  Ke Liu; Jia-Jia Cui; Yan Zhan; Qian-Ying Ouyang; Qi-Si Lu; Dong-Hua Yang; Xiang-Ping Li; Ji-Ye Yin
Journal:  Mol Cancer       Date:  2022-04-11       Impact factor: 27.401

  1 in total

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