Performance of an electronic health record-based phenotype algorithm to identify community associated methicillin-resistant Staphylococcus aureus cases and controls for genetic association studies

Performance of an electronic health record-based phenotype algorithm to identify community associated methicillin-resistant Staphylococcus aureus cases and controls for genetic association studies

Abstract Background Community associated methicillin-resistant Staphylococcus aureus (CA-MRSA) is one of the most common causes of skin and soft tissue infections in the United States, and a variety of genetic host factors are suspected to be risk factors for recurrent infection. Based on the CDC de...

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Bibliographic Details
Main Authors: Kathryn L. Jackson, Michael Mbagwu, Jennifer A. Pacheco, Abigail S. Baldridge, Daniel J. Viox, James G. Linneman, Sanjay K. Shukla, Peggy L. Peissig, Kenneth M. Borthwick, David A. Carrell, Suzette J. Bielinski, Jacqueline C. Kirby, Joshua C. Denny, Frank D. Mentch, Lyam M. Vazquez, Laura J. Rasmussen-Torvik, Abel N. Kho
Format: Article
Language:English
Published: BMC 2016-11-01
Series:BMC Infectious Diseases
Subjects:
ca_MRSA
Phenotyping
Electronic Health Record
ca-MRSA Phenotype
GWAS
Online Access:http://link.springer.com/article/10.1186/s12879-016-2020-2

Internet

http://link.springer.com/article/10.1186/s12879-016-2020-2

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