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Applying a Big Data Approach to Biomarker Discovery
Author(s) -
James A. de Lemos,
Anand Rohatgi,
Colby Ayers
Publication year - 2015
Publication title -
circulation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 7.795
H-Index - 607
eISSN - 1524-4539
pISSN - 0009-7322
DOI - 10.1161/circulationaha.115.019648
Subject(s) - medicine , biomarker , biomarker discovery , medical school , big data , gerontology , medical education , computer science , proteomics , gene , biochemistry , chemistry , operating system
Circulating biomarkers play an increasingly important role in cardiovascular medicine. Clinicians routinely measure biomarkers of cardiac injury, neurohormonal activation, and renal function for diagnosis and risk assessment and for guiding therapeutic decision making. Several intersecting trends have heightened interest in the discovery and validation of additional cardiovascular biomarkers, including the highly anticipated transition to personalized or precision medicine and the pending availability of “big data” sets that promise a dizzying array of patient-level data, including unprecedented numbers of biomarkers.Article see p 2297 A number of strategies have been used to search for novel biomarkers of cardiovascular disease (CVD). Unbiased technologies, including genomics, proteomics, and metabolomics, all use a big data approach for novel biomarker discovery,1 but to date, these technologies have failed to deliver on their initial promise, yielding no new clinically useful biomarkers in cardiac care. An alternative strategy is to focus on known proteins reflecting mediating pathways to ensure a higher probability of association with CVD, an approach that can now be implemented on a massive scale with the use of new multiplex immunoassay techniques that allow conservation of sample volume.In this issue of Circulation , Gerstein et al,2 representing the Outcome Reduction With an Initial Glargine Intervention (ORIGIN) Trial investigators, used a commercially available Luminex multiplex immunoassay platform to screen hundreds of distinct biomarkers for their ability to predict CVD events. Although the marker selection process was described as an unbiased approach, each of the biomarkers tested was a known protein preselected by either the company or the investigators on the basis of some a priori rationale for inclusion in the test panel, a strategy that may increase the yield of discovery while limiting the full scope of what can be discovered. Within the field of circulating cardiovascular biomarkers, this effort is almost …

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