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The effects of electronic medical record phenotyping details on genetic association studies: HDL-C as a case study

  • Logan Dumitrescu1, 2,
  • Robert Goodloe1, 2,
  • Yukiko Bradford3,
  • Eric Farber-Eger1,
  • Jonathan Boston1 and
  • Dana C Crawford4Email author
BioData Mining20158:15

https://doi.org/10.1186/s13040-015-0048-2

Received: 22 May 2014

Accepted: 28 April 2015

Published: 6 May 2015

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Open Peer Review reports

Pre-publication versions of this article are available by contacting info@biomedcentral.com.

Original Submission
22 May 2014 Submitted Original manuscript
Author responded Author comments
Reviewed Reviewer Report
Resubmission - Version 2
Submitted Manuscript version 2
Reviewed Reviewer Report
Resubmission - Version 3
Submitted Manuscript version 3
Publishing
28 Apr 2015 Editorially accepted
6 May 2015 Article published 10.1186/s13040-015-0048-2

How does Open Peer Review work?

Open peer review is a system where authors know who the reviewers are, and the reviewers know who the authors are. If the manuscript is accepted, the named reviewer reports are published alongside the article. Pre-publication versions of the article are available by contacting info@biomedcentral.com.

You can find further information about the peer review system here.

Authors’ Affiliations

(1)
Center for Human Genetics Research, Vanderbilt University, Nashville, USA
(2)
Department of Molecular Physiology and Biophysics, Vanderbilt University, Nashville, USA
(3)
Center for Systems Genomics, Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, USA
(4)
Department of Epidemiology and Biostatistics, Institute for Computational Biology, Case Western Reserve University, Cleveland, USA

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