Data on genetic associations of carotid atherosclerosis markers in Mexican American and European American rheumatoid arthritis subjects

Rector Arya; Agustin Escalante; Vidya S. Farook; Jose F. Restrepo; Daniel F. Battafarano; Marcio Almeida; Mark Z. Kos; Marcel J. Fourcaudot; Srinivas Mummidi; Satish Kumar; Joanne E. Curran; Christopher P. Jenkinson; John Blangero; Ravindranath Duggirala; Inmaculada del Rincon

Data in Brief (Apr 2018)

Data on genetic associations of carotid atherosclerosis markers in Mexican American and European American rheumatoid arthritis subjects

Rector Arya,
Agustin Escalante,
Vidya S. Farook,
Jose F. Restrepo,
Daniel F. Battafarano,
Marcio Almeida,
Mark Z. Kos,
Marcel J. Fourcaudot,
Srinivas Mummidi,
Satish Kumar,
Joanne E. Curran,
Christopher P. Jenkinson,
John Blangero,
Ravindranath Duggirala,
Inmaculada del Rincon

Affiliations

Rector Arya: Department of Human Genetics, School of Medicine, the University of Texas Rio Grande Valley, Edinburg/Brownsville, Texas, USA; South Texas Diabetes and Obesity Institute, School of Medicine, the University of Texas Rio Grande Valley, Edinburg/Brownsville, Texas, USA; Corresponding author.
Agustin Escalante: Department of Medicine, Division of Rheumatology and Clinical Immunology, the University of Texas Health, San Antonio, Texas, USA
Vidya S. Farook: Department of Human Genetics, School of Medicine, the University of Texas Rio Grande Valley, Edinburg/Brownsville, Texas, USA; South Texas Diabetes and Obesity Institute, School of Medicine, the University of Texas Rio Grande Valley, Edinburg/Brownsville, Texas, USA
Jose F. Restrepo: Department of Medicine, Division of Rheumatology and Clinical Immunology, the University of Texas Health, San Antonio, Texas, USA
Daniel F. Battafarano: San Antonio Military Medical Center, Fort Sam Houston, Texas, USA
Marcio Almeida: Department of Human Genetics, School of Medicine, the University of Texas Rio Grande Valley, Edinburg/Brownsville, Texas, USA; South Texas Diabetes and Obesity Institute, School of Medicine, the University of Texas Rio Grande Valley, Edinburg/Brownsville, Texas, USA
Mark Z. Kos: Department of Human Genetics, School of Medicine, the University of Texas Rio Grande Valley, Edinburg/Brownsville, Texas, USA; South Texas Diabetes and Obesity Institute, School of Medicine, the University of Texas Rio Grande Valley, Edinburg/Brownsville, Texas, USA
Marcel J. Fourcaudot: Division of Diabetes, Department of Medicine, the University of Texas Health, San Antonio, Texas, USA
Srinivas Mummidi: Department of Human Genetics, School of Medicine, the University of Texas Rio Grande Valley, Edinburg/Brownsville, Texas, USA; South Texas Diabetes and Obesity Institute, School of Medicine, the University of Texas Rio Grande Valley, Edinburg/Brownsville, Texas, USA
Satish Kumar: Department of Human Genetics, School of Medicine, the University of Texas Rio Grande Valley, Edinburg/Brownsville, Texas, USA; South Texas Diabetes and Obesity Institute, School of Medicine, the University of Texas Rio Grande Valley, Edinburg/Brownsville, Texas, USA
Joanne E. Curran: Department of Human Genetics, School of Medicine, the University of Texas Rio Grande Valley, Edinburg/Brownsville, Texas, USA; South Texas Diabetes and Obesity Institute, School of Medicine, the University of Texas Rio Grande Valley, Edinburg/Brownsville, Texas, USA
Christopher P. Jenkinson: Department of Human Genetics, School of Medicine, the University of Texas Rio Grande Valley, Edinburg/Brownsville, Texas, USA; South Texas Diabetes and Obesity Institute, School of Medicine, the University of Texas Rio Grande Valley, Edinburg/Brownsville, Texas, USA
John Blangero: Department of Human Genetics, School of Medicine, the University of Texas Rio Grande Valley, Edinburg/Brownsville, Texas, USA; South Texas Diabetes and Obesity Institute, School of Medicine, the University of Texas Rio Grande Valley, Edinburg/Brownsville, Texas, USA
Ravindranath Duggirala: Department of Human Genetics, School of Medicine, the University of Texas Rio Grande Valley, Edinburg/Brownsville, Texas, USA; South Texas Diabetes and Obesity Institute, School of Medicine, the University of Texas Rio Grande Valley, Edinburg/Brownsville, Texas, USA
Inmaculada del Rincon: Department of Medicine, Division of Rheumatology and Clinical Immunology, the University of Texas Health, San Antonio, Texas, USA

Journal volume & issue: Vol. 17
pp. 820 – 829

Abstract

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Carotid Intima-media thickness (CIMT) and plaque are well established markers of subclinical atherosclerosis and are widely used for identifying subclinical atherosclerotic disease. We performed association analyses using Metabochip array to identify genetic variants that influence variation in CIMT and plaque, measured using B-mode ultrasonography, in rheumatoid arthritis (RA) patients. Data on genetic associations of common variants associated with both CIMT and plaque in RA subjects involving Mexican Americans (MA) and European Americans (EA) populations are presented in this article. Strong associations were observed after adjusting for covariate effects including baseline clinical characteristics and statin use. Susceptibility loci and genes and/or nearest genes associated with CIMT in MAs and EAs with RA are presented. In addition, common susceptibility loci influencing CIMT and plaque in both MAs and EAs have been presented. Polygenic Risk Score (PRS) plots showing complementary evidence for the observed CIMT and plaque association signals are also shown in this article. For further interpretation and details, please see the research article titled “A Genetic Association Study of Carotid Intima-Media Thickness (CIMT) and Plaque in Mexican Americans and European Americans with Rheumatoid Arthritis” which is being published in Atherosclerosis (Arya et al., 2018) [1].(Arya et al., in press) Thus, common variants in several genes exhibited significant associations with CIMT and plaque in both MAs and EAs as presented in this article. These findings may help understand the genetic architecture of subclinical atherosclerosis in RA populations.

Published in Data in Brief

ISSN: 2352-3409 (Online)
Publisher: Elsevier
Country of publisher: United States
LCC subjects: Medicine: Medicine (General): Computer applications to medicine. Medical informatics; Science: Science (General)
Website: http://www.journals.elsevier.com/data-in-brief/

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