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Open data informatics and data repurposing for IBD

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Biomedical ‘big data’ has opened opportunities for data repurposing to reveal new insights into complex diseases. Public data on IBD have been repurposed for novel diagnostics and therapeutics, and these datasets continue to grow. Here, we discuss the practicalities and implications of open data informatics for IBD.

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References

  1. Sharaf, R. N. et al. Computational prediction and experimental validation associating FABP-1 and pancreatic adenocarcinoma with diabetes. BMC Gastroenterol. 11, 5 (2011).

    Article  Google Scholar 

  2. Liu, L. Y. et al. Integrating multiple ‘omics’ analyses identifies serological protein biomarkers for preeclampsia. BMC Med. 11, 236 (2013).

    Article  CAS  Google Scholar 

  3. Tzoulaki, I. et al. A nutrient-wide association study on blood pressure. Circulation 126, 2456–2464 (2012).

    Article  CAS  Google Scholar 

  4. Patel, C. J., Bhattacharya, J. & Butte, A. J. An Environment-Wide Association Study (EWAS) on type 2 diabetes mellitus. PLOS ONE 5, e10746 (2010).

    Article  CAS  Google Scholar 

  5. de Silva, P. S. et al. Association of urinary phenolic compounds, inflammatory bowel disease and chronic diarrheal symptoms: Evidence from the National Health and Nutrition Examination Survey. Environ. Pollut. 229, 621–626 (2017).

    Article  CAS  Google Scholar 

  6. Gaujoux, R. et al. Cell-centred meta-analysis reveals baseline predictors of anti-TNFα non-response in biopsy and blood of patients with IBD. Gut. https://doi.org/10.1136/gutjnl-2017-315494 (2018).

    Article  PubMed  Google Scholar 

  7. Dudley, J. T. et al. Computational repositioning of the anticonvulsant topiramate for inflammatory bowel disease. Sci. Transl. Med. 3, 96ra76 (2011).

    Article  CAS  Google Scholar 

  8. Bhattacharya, S. et al. ImmPort, toward repurposing of open access immunological assay data for translational and clinical research. Sci. Data 5, 180015 (2018).

    Article  CAS  Google Scholar 

  9. Zalocusky, K. A. et al. The 10,000 Immunomes Project: a resource for human immunology. bioRxiv. https://doi.org/10.1101/180489 (2017).

    Article  Google Scholar 

  10. Johnson, A. E. W. et al. MIMIC-III, a freely accessible critical care database. Sci. Data 3, 160035 (2016).

    Article  CAS  Google Scholar 

Download references

Acknowledgements

V.A.R. was supported by the NIH training grant T32 DK007007-42. A.J.B. was supported by the National Institute of Allergy and Infectious Diseases (Bioinformatics Support Contract HHSN316201200036W).

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Correspondence to Atul J. Butte.

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Rudrapatna, V.A., Butte, A.J. Open data informatics and data repurposing for IBD. Nat Rev Gastroenterol Hepatol 15, 715–716 (2018). https://doi.org/10.1038/s41575-018-0050-5

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