Literature DB >> 29213124

The RA-MAP Consortium: a working model for academia-industry collaboration.

Andrew P Cope1, Michael R Barnes2, Alexandra Belson3, Michael Binks3, Sarah Brockbank4, Francisco Bonachela-Capdevila5, Claudio Carini6, Benjamin A Fisher7, Carl S Goodyear8, Paul Emery9, Michael R Ehrenstein10, Neil Gozzard11, Ray Harris12, Sally Hollis13, Sarah Keidel14, Marc Levesque14, Catharina Lindholm13, Michael F McDermott9, Iain B McInnes8, Christopher M Mela15, Gerry Parker11, Simon Read16, Ayako Wakatsuki Pedersen4, Frederique Ponchel9, Duncan Porter8, Ravi Rao3, Anthony Rowe5, Peter Schulz-Knappe17, Matthew A Sleeman18, Deborah Symmons19, Peter C Taylor20, Brian Tom21, Wayne Tsuji22, Denny Verbeeck5, John D Isaacs4.   

Abstract

Collaboration can be challenging; nevertheless, the emerging successes of large, multi-partner, multi-national cooperatives and research networks in the biomedical sector have sustained the appetite of academics and industry partners for developing and fostering new research consortia. This model has percolated down to national funding agencies across the globe, leading to funding for projects that aim to realise the true potential of genomic medicine in the 21st century and to reap the rewards of 'big data'. In this Perspectives article, the experiences of the RA-MAP consortium, a group of more than 140 individuals affiliated with 21 academic and industry organizations that are focused on making genomic medicine in rheumatoid arthritis a reality are described. The challenges of multi-partner collaboration in the UK are highlighted and wide-ranging solutions are offered that might benefit large research consortia around the world.

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Year:  2017        PMID: 29213124      PMCID: PMC6711406          DOI: 10.1038/nrrheum.2017.200

Source DB:  PubMed          Journal:  Nat Rev Rheumatol        ISSN: 1759-4790            Impact factor:   32.286


  31 in total

1.  Genomics and medicine. Dissecting human disease in the postgenomic era.

Authors:  L Peltonen; V A McKusick
Journal:  Science       Date:  2001-02-16       Impact factor: 47.728

Review 2.  Genome-wide association studies for common diseases and complex traits.

Authors:  Joel N Hirschhorn; Mark J Daly
Journal:  Nat Rev Genet       Date:  2005-02       Impact factor: 53.242

Review 3.  Lowering industry firewalls: pre-competitive informatics initiatives in drug discovery.

Authors:  Michael R Barnes; Lee Harland; Steven M Foord; Matthew D Hall; Ian Dix; Scott Thomas; Bryn I Williams-Jones; Cory R Brouwer
Journal:  Nat Rev Drug Discov       Date:  2009-07-17       Impact factor: 84.694

Review 4.  Immune Checkpoint Inhibitor Therapy: What Line of Therapy and How to Choose?

Authors:  Chethan Ramamurthy; James L Godwin; Hossein Borghaei
Journal:  Curr Treat Options Oncol       Date:  2017-06

5.  Gefitinib or chemotherapy for non-small-cell lung cancer with mutated EGFR.

Authors:  Makoto Maemondo; Akira Inoue; Kunihiko Kobayashi; Shunichi Sugawara; Satoshi Oizumi; Hiroshi Isobe; Akihiko Gemma; Masao Harada; Hirohisa Yoshizawa; Ichiro Kinoshita; Yuka Fujita; Shoji Okinaga; Haruto Hirano; Kozo Yoshimori; Toshiyuki Harada; Takashi Ogura; Masahiro Ando; Hitoshi Miyazawa; Tomoaki Tanaka; Yasuo Saijo; Koichi Hagiwara; Satoshi Morita; Toshihiro Nukiwa
Journal:  N Engl J Med       Date:  2010-06-24       Impact factor: 91.245

6.  Studies of the HER-2/neu proto-oncogene in human breast and ovarian cancer.

Authors:  D J Slamon; W Godolphin; L A Jones; J A Holt; S G Wong; D E Keith; W J Levin; S G Stuart; J Udove; A Ullrich
Journal:  Science       Date:  1989-05-12       Impact factor: 47.728

Review 7.  Discovering genotypes underlying human phenotypes: past successes for mendelian disease, future approaches for complex disease.

Authors:  David Botstein; Neil Risch
Journal:  Nat Genet       Date:  2003-03       Impact factor: 38.330

Review 8.  Developing and evaluating polygenic risk prediction models for stratified disease prevention.

Authors:  Nilanjan Chatterjee; Jianxin Shi; Montserrat García-Closas
Journal:  Nat Rev Genet       Date:  2016-05-03       Impact factor: 53.242

9.  "A good collaboration is based on unique contributions from each side": assessing the dynamics of collaboration in stem cell science.

Authors:  Michael Morrison
Journal:  Life Sci Soc Policy       Date:  2017-05-04

10.  SmartR: an open-source platform for interactive visual analytics for translational research data.

Authors:  Sascha Herzinger; Wei Gu; Venkata Satagopam; Serge Eifes; Kavita Rege; Adriano Barbosa-Silva; Reinhard Schneider
Journal:  Bioinformatics       Date:  2017-07-15       Impact factor: 6.937

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  4 in total

1.  Corrigendum: The RA-MAP Consortium: a working model for academia-industry collaboration.

Authors:  Andrew P Cope; Michael R Barnes; Alexandra Belson; Michael Binks; Sarah Brockbank; Francisco Bonachela-Capdevila; Claudio Carini; Benjamin A Fisher; Carl S Goodyear; Paul Emery; Michael R Ehrenstein; Neil Gozzard; Ray Harris; Sally Hollis; Sarah Keidel; Marc Levesque; Catharina Lindholm; Michael F McDermott; Iain B McInnes; Christopher M Mela; Gerry Parker; Simon Read; Ayako Wakatsuki Pedersen; Frederique Ponchel; Duncan Porter; Ravi Rao; Anthony Rowe; Peter Schulze-Knappe; Matthew A Sleeman; Deborah Symmons; Peter C Taylor; Brian Tom; Wayne Tsuji; Denny Verbeeck; John D Isaacs
Journal:  Nat Rev Rheumatol       Date:  2018-01-24       Impact factor: 20.543

2.  RA-MAP, molecular immunological landscapes in early rheumatoid arthritis and healthy vaccine recipients.

Authors: 
Journal:  Sci Data       Date:  2022-05-09       Impact factor: 8.501

3.  Comprehensive exploratory autoantibody profiling in patients with early rheumatoid arthritis treated with methotrexate or tocilizumab.

Authors:  Xavier M Teitsma; Jenny Devenport; Johannes W G Jacobs; Attila Pethö-Schramm; Michelle E A Borm; Petra Budde; Johannes W J Bijlsma; Floris P J G Lafeber
Journal:  PLoS One       Date:  2020-12-10       Impact factor: 3.240

4.  Characterization of disease course and remission in early seropositive rheumatoid arthritis: results from the TACERA longitudinal cohort study.

Authors: 
Journal:  Ther Adv Musculoskelet Dis       Date:  2021-10-21       Impact factor: 5.346

  4 in total

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