Literature DB >> 25850054

Opportunities for drug repositioning from phenome-wide association studies.

Majid Rastegar-Mojarad1, Zhan Ye2, Jill M Kolesar3, Scott J Hebbring4, Simon M Lin1.   

Abstract

Mesh:

Year:  2015        PMID: 25850054     DOI: 10.1038/nbt.3183

Source DB:  PubMed          Journal:  Nat Biotechnol        ISSN: 1087-0156            Impact factor:   54.908


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  16 in total

1.  An overview of MetaMap: historical perspective and recent advances.

Authors:  Alan R Aronson; François-Michel Lang
Journal:  J Am Med Inform Assoc       Date:  2010 May-Jun       Impact factor: 4.497

2.  Rational drug repositioning by medical genetics.

Authors:  Zhong-Yi Wang; Hong-Yu Zhang
Journal:  Nat Biotechnol       Date:  2013-12       Impact factor: 54.908

3.  Genomics-enabled drug repositioning and repurposing: insights from an IOM Roundtable activity.

Authors:  Aidan Power; Adam C Berger; Geoffrey S Ginsburg
Journal:  JAMA       Date:  2014-05       Impact factor: 56.272

4.  SemMedDB: a PubMed-scale repository of biomedical semantic predications.

Authors:  Halil Kilicoglu; Dongwook Shin; Marcelo Fiszman; Graciela Rosemblat; Thomas C Rindflesch
Journal:  Bioinformatics       Date:  2012-10-08       Impact factor: 6.937

5.  Systematic comparison of phenome-wide association study of electronic medical record data and genome-wide association study data.

Authors:  Joshua C Denny; Lisa Bastarache; Marylyn D Ritchie; Robert J Carroll; Raquel Zink; Jonathan D Mosley; Julie R Field; Jill M Pulley; Andrea H Ramirez; Erica Bowton; Melissa A Basford; David S Carrell; Peggy L Peissig; Abel N Kho; Jennifer A Pacheco; Luke V Rasmussen; David R Crosslin; Paul K Crane; Jyotishman Pathak; Suzette J Bielinski; Sarah A Pendergrass; Hua Xu; Lucia A Hindorff; Rongling Li; Teri A Manolio; Christopher G Chute; Rex L Chisholm; Eric B Larson; Gail P Jarvik; Murray H Brilliant; Catherine A McCarty; Iftikhar J Kullo; Jonathan L Haines; Dana C Crawford; Daniel R Masys; Dan M Roden
Journal:  Nat Biotechnol       Date:  2013-12       Impact factor: 54.908

6.  Genetics of rheumatoid arthritis contributes to biology and drug discovery.

Authors:  Yukinori Okada; Di Wu; Gosia Trynka; Towfique Raj; Chikashi Terao; Katsunori Ikari; Yuta Kochi; Koichiro Ohmura; Akari Suzuki; Shinji Yoshida; Robert R Graham; Arun Manoharan; Ward Ortmann; Tushar Bhangale; Joshua C Denny; Robert J Carroll; Anne E Eyler; Jeffrey D Greenberg; Joel M Kremer; Dimitrios A Pappas; Lei Jiang; Jian Yin; Lingying Ye; Ding-Feng Su; Jian Yang; Gang Xie; Ed Keystone; Harm-Jan Westra; Tõnu Esko; Andres Metspalu; Xuezhong Zhou; Namrata Gupta; Daniel Mirel; Eli A Stahl; Dorothée Diogo; Jing Cui; Katherine Liao; Michael H Guo; Keiko Myouzen; Takahisa Kawaguchi; Marieke J H Coenen; Piet L C M van Riel; Mart A F J van de Laar; Henk-Jan Guchelaar; Tom W J Huizinga; Philippe Dieudé; Xavier Mariette; S Louis Bridges; Alexandra Zhernakova; Rene E M Toes; Paul P Tak; Corinne Miceli-Richard; So-Young Bang; Hye-Soon Lee; Javier Martin; Miguel A Gonzalez-Gay; Luis Rodriguez-Rodriguez; Solbritt Rantapää-Dahlqvist; Lisbeth Arlestig; Hyon K Choi; Yoichiro Kamatani; Pilar Galan; Mark Lathrop; Steve Eyre; John Bowes; Anne Barton; Niek de Vries; Larry W Moreland; Lindsey A Criswell; Elizabeth W Karlson; Atsuo Taniguchi; Ryo Yamada; Michiaki Kubo; Jun S Liu; Sang-Cheol Bae; Jane Worthington; Leonid Padyukov; Lars Klareskog; Peter K Gregersen; Soumya Raychaudhuri; Barbara E Stranger; Philip L De Jager; Lude Franke; Peter M Visscher; Matthew A Brown; Hisashi Yamanaka; Tsuneyo Mimori; Atsushi Takahashi; Huji Xu; Timothy W Behrens; Katherine A Siminovitch; Shigeki Momohara; Fumihiko Matsuda; Kazuhiko Yamamoto; Robert M Plenge
Journal:  Nature       Date:  2013-12-25       Impact factor: 49.962

7.  BalestraWeb: efficient online evaluation of drug-target interactions.

Authors:  Murat Can Cobanoglu; Zoltán N Oltvai; D Lansing Taylor; Ivet Bahar
Journal:  Bioinformatics       Date:  2014-09-05       Impact factor: 6.937

8.  Adverse drug reaction prediction using scores produced by large-scale drug-protein target docking on high-performance computing machines.

Authors:  Montiago X LaBute; Xiaohua Zhang; Jason Lenderman; Brian J Bennion; Sergio E Wong; Felice C Lightstone
Journal:  PLoS One       Date:  2014-09-05       Impact factor: 3.240

Review 9.  The challenges, advantages and future of phenome-wide association studies.

Authors:  Scott J Hebbring
Journal:  Immunology       Date:  2014-02       Impact factor: 7.397

10.  In Silico target fishing: addressing a "Big Data" problem by ligand-based similarity rankings with data fusion.

Authors:  Xian Liu; Yuan Xu; Shanshan Li; Yulan Wang; Jianlong Peng; Cheng Luo; Xiaomin Luo; Mingyue Zheng; Kaixian Chen; Hualiang Jiang
Journal:  J Cheminform       Date:  2014-06-18       Impact factor: 5.514

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  56 in total

Review 1.  Unravelling the human genome-phenome relationship using phenome-wide association studies.

Authors:  William S Bush; Matthew T Oetjens; Dana C Crawford
Journal:  Nat Rev Genet       Date:  2016-02-15       Impact factor: 53.242

2.  Genome-wide association analyses identify 139 loci associated with macular thickness in the UK Biobank cohort.

Authors:  X Raymond Gao; Hua Huang; Heejin Kim
Journal:  Hum Mol Genet       Date:  2019-04-01       Impact factor: 6.150

3.  Application of clinical text data for phenome-wide association studies (PheWASs).

Authors:  Scott J Hebbring; Majid Rastegar-Mojarad; Zhan Ye; John Mayer; Crystal Jacobson; Simon Lin
Journal:  Bioinformatics       Date:  2015-02-04       Impact factor: 6.937

Review 4.  Drug repurposing from the perspective of pharmaceutical companies.

Authors:  Y Cha; T Erez; I J Reynolds; D Kumar; J Ross; G Koytiger; R Kusko; B Zeskind; S Risso; E Kagan; S Papapetropoulos; I Grossman; D Laifenfeld
Journal:  Br J Pharmacol       Date:  2017-05-18       Impact factor: 8.739

5.  Association of Interleukin 6 Receptor Variant With Cardiovascular Disease Effects of Interleukin 6 Receptor Blocking Therapy: A Phenome-Wide Association Study.

Authors:  Tianxi Cai; Yichi Zhang; Yuk-Lam Ho; Nicholas Link; Jiehuan Sun; Jie Huang; Tianrun A Cai; Scott Damrauer; Yuri Ahuja; Jacqueline Honerlaw; Jie Huang; Lauren Costa; Petra Schubert; Chuan Hong; David Gagnon; Yan V Sun; J Michael Gaziano; Peter Wilson; Kelly Cho; Philip Tsao; Christopher J O'Donnell; Katherine P Liao
Journal:  JAMA Cardiol       Date:  2018-09-01       Impact factor: 14.676

Review 6.  Network biology concepts in complex disease comorbidities.

Authors:  Jessica Xin Hu; Cecilia Engel Thomas; Søren Brunak
Journal:  Nat Rev Genet       Date:  2016-08-08       Impact factor: 53.242

Review 7.  Pathway and network-based strategies to translate genetic discoveries into effective therapies.

Authors:  Casey S Greene; Benjamin F Voight
Journal:  Hum Mol Genet       Date:  2016-06-23       Impact factor: 6.150

Review 8.  Phenome-Wide Association Studies as a Tool to Advance Precision Medicine.

Authors:  Joshua C Denny; Lisa Bastarache; Dan M Roden
Journal:  Annu Rev Genomics Hum Genet       Date:  2016-05-04       Impact factor: 8.929

9.  Applying family analyses to electronic health records to facilitate genetic research.

Authors:  Xiayuan Huang; Robert C Elston; Guilherme J Rosa; John Mayer; Zhan Ye; Terrie Kitchner; Murray H Brilliant; David Page; Scott J Hebbring
Journal:  Bioinformatics       Date:  2018-02-15       Impact factor: 6.937

10.  The Influence of Big (Clinical) Data and Genomics on Precision Medicine and Drug Development.

Authors:  Joshua C Denny; Sara L Van Driest; Wei-Qi Wei; Dan M Roden
Journal:  Clin Pharmacol Ther       Date:  2018-02-05       Impact factor: 6.875

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