Open AccessGene Expression Profiles for the Identification of Prevalent Atrial Fibrillation
Author(s) -
Thériault Sébastien,
Whitlock Richard,
Raman Kripa,
Vincent Jessica,
Yusuf Salim,
Paré Guillaume
Publication year - 2017
Publication title -
journal of the american heart association
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.494
H-Index - 85
ISSN - 2047-9980
DOI - 10.1161/jaha.117.006057
Subject(s) - medicine , atrial fibrillation , cohort , gene expression , logistic regression , cardiology , receiver operating characteristic , gene expression profiling , area under the curve , transcriptome , whole blood , gene , bioinformatics , oncology , genetics , biology
Diagnosis of atrial fibrillation (AF) can be difficult, requiring cumbersome investigations. We aimed to determine the association of established whole-blood gene expression scores with prevalent AF and to evaluate their performance for the identification of AF in a SIRS (Steroids in Cardiac Surgery) trial cohort.