Rector Arya1, Agustin Escalante2, Vidya S Farook3, Jose F Restrepo2, Daniel F Battafarano4, Marcio Almeida3, Mark Z Kos3, Marcel J Fourcaudot5, Srinivas Mummidi3, Satish Kumar3, Joanne E Curran3, Christopher P Jenkinson3, John Blangero3, Ravindranath Duggirala3, Inmaculada Del Rincon2. 1. Department of Human Genetics, School of Medicine, The University of Texas Rio Grande Valley, Edinburg/Brownsville, TX, USA; South Texas Diabetes and Obesity Institute, School of Medicine, The University of Texas Rio Grande Valley, Edinburg/Brownsville, TX, USA. Electronic address: rector.arya@utrgv.edu. 2. Department of Medicine, Division of Rheumatology and Clinical Immunology, The University of Texas Health, San Antonio, TX, USA. 3. Department of Human Genetics, School of Medicine, The University of Texas Rio Grande Valley, Edinburg/Brownsville, TX, USA; South Texas Diabetes and Obesity Institute, School of Medicine, The University of Texas Rio Grande Valley, Edinburg/Brownsville, TX, USA. 4. San Antonio Military Medical Center, Fort Sam Houston, TX, USA. 5. Division of Diabetes, Department of Medicine, The University of Texas Health, San Antonio, TX, USA.
Abstract
BACKGROUND AND AIMS: Little is known about specific genetic determinants of carotid-intima-media thickness (CIMT) and carotid plaque in subjects with rheumatoid arthritis (RA). We have used the Metabochip array to fine map and replicate loci that influence variation in these phenotypes in Mexican Americans (MAs) and European Americans (EAs). METHODS: CIMT and plaque were measured using ultrasound from 700 MA and 415 EA patients with RA and we conducted association analyses with the Metabochip single nucleotide polymorphism (SNP) data using PLINK. RESULTS: In MAs, 12 SNPs from 11 chromosomes and 6 SNPs from 6 chromosomes showed suggestive associations (p < 1 × 10-4) with CIMT and plaque, respectively. The strongest association was observed between CIMT and rs17526722 (SLC17A2 gene) (β ± SE = -0.84 ± 0.18, p = 3.80 × 10-6). In EAs, 9 SNPs from 7 chromosomes and 7 SNPs from 7 chromosomes showed suggestive associations with CIMT and plaque, respectively. The top association for CIMT was observed with rs1867148 (PPCDC gene, β ± SE = -0.28 ± 0.06, p = 5.11 × 10-6). We also observed strong association between plaque and two novel loci: rs496916 from COL4A1 gene (OR = 0.51, p = 3.15 × 10-6) in MAs and rs515291 from SLCA13 gene (OR = 0.50, p = 3.09 × 10-5) in EAs. CONCLUSIONS: We identified novel associations between CIMT and variants in SLC17A2 and PPCDC genes, and between plaque and variants from COL4A1 and SLCA13 that may pinpoint new candidate risk loci for subclinical atherosclerosis associated with RA.
BACKGROUND AND AIMS: Little is known about specific genetic determinants of carotid-intima-media thickness (CIMT) and carotid plaque in subjects with rheumatoid arthritis (RA). We have used the Metabochip array to fine map and replicate loci that influence variation in these phenotypes in Mexican Americans (MAs) and European Americans (EAs). METHODS:CIMT and plaque were measured using ultrasound from 700 MA and 415 EA patients with RA and we conducted association analyses with the Metabochip single nucleotide polymorphism (SNP) data using PLINK. RESULTS: In MAs, 12 SNPs from 11 chromosomes and 6 SNPs from 6 chromosomes showed suggestive associations (p < 1 × 10-4) with CIMT and plaque, respectively. The strongest association was observed between CIMT and rs17526722 (SLC17A2 gene) (β ± SE = -0.84 ± 0.18, p = 3.80 × 10-6). In EAs, 9 SNPs from 7 chromosomes and 7 SNPs from 7 chromosomes showed suggestive associations with CIMT and plaque, respectively. The top association for CIMT was observed with rs1867148 (PPCDC gene, β ± SE = -0.28 ± 0.06, p = 5.11 × 10-6). We also observed strong association between plaque and two novel loci: rs496916 from COL4A1 gene (OR = 0.51, p = 3.15 × 10-6) in MAs and rs515291 from SLCA13 gene (OR = 0.50, p = 3.09 × 10-5) in EAs. CONCLUSIONS: We identified novel associations between CIMT and variants in SLC17A2 and PPCDC genes, and between plaque and variants from COL4A1 and SLCA13 that may pinpoint new candidate risk loci for subclinical atherosclerosis associated with RA.
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