F David Carmona1, Ahmet Mesut Onat2, Tamara Fernández-Aranguren2, Alberto Serrano-Fernández2, Gema Robledo2, Haner Direskeneli2, Amr H Sawalha2, Sule Yavuz2, Javier Martín2. 1. From the Instituto de Parasitología y Biomedicina "López-Neyra," IPBLN-CSIC, PTS Granada, Granada, Spain; Department of Rheumatology, University of Gaziantep, Gaziantep; Division of Rheumatology, Marmara University, School of Medicine; Department of Rheumatology, Istanbul Bilim University, Istanbul, Turkey; Division of Rheumatology, Department of Internal Medicine, University of Michigan; Center for Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, USA.F.D. Carmona, PhD, Instituto de Parasitología y Biomedicina "López-Neyra," IPBLN-CSIC, PTS Granada; A.M. Onat, MD, Department of Rheumatology, University of Gaziantep; T. Fernández-Aranguren, BSc, Instituto de Parasitología y Biomedicina "López-Neyra," IPBLN-CSIC, PTS Granada; A. Serrano-Fernández, BSc, Instituto de Parasitología y Biomedicina "López-Neyra," IPBLN-CSIC, PTS Granada; G. Robledo, BSc, Instituto de Parasitología y Biomedicina "López-Neyra," IPBLN-CSIC, PTS Granada; H. Direskeneli, MD, Division of Rheumatology, Marmara University, School of Medicine; A.H. Sawalha, MD, Division of Rheumatology, Department of Internal Medicine, University of Michigan, and the Center for Computational Medicine and Bioinformatics, University of Michigan; S. Yavuz, MD, Department of Rheumatology, Istanbul Bilim University; J. Martín, MD, PhD, Instituto de Parasitología y Biomedicina "López-Neyra," IPBLN-CSIC, PTS Granada. dcarmona@ipb.csic.es. 2. From the Instituto de Parasitología y Biomedicina "López-Neyra," IPBLN-CSIC, PTS Granada, Granada, Spain; Department of Rheumatology, University of Gaziantep, Gaziantep; Division of Rheumatology, Marmara University, School of Medicine; Department of Rheumatology, Istanbul Bilim University, Istanbul, Turkey; Division of Rheumatology, Department of Internal Medicine, University of Michigan; Center for Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, USA.F.D. Carmona, PhD, Instituto de Parasitología y Biomedicina "López-Neyra," IPBLN-CSIC, PTS Granada; A.M. Onat, MD, Department of Rheumatology, University of Gaziantep; T. Fernández-Aranguren, BSc, Instituto de Parasitología y Biomedicina "López-Neyra," IPBLN-CSIC, PTS Granada; A. Serrano-Fernández, BSc, Instituto de Parasitología y Biomedicina "López-Neyra," IPBLN-CSIC, PTS Granada; G. Robledo, BSc, Instituto de Parasitología y Biomedicina "López-Neyra," IPBLN-CSIC, PTS Granada; H. Direskeneli, MD, Division of Rheumatology, Marmara University, School of Medicine; A.H. Sawalha, MD, Division of Rheumatology, Department of Internal Medicine, University of Michigan, and the Center for Computational Medicine and Bioinformatics, University of Michigan; S. Yavuz, MD, Department of Rheumatology, Istanbul Bilim University; J. Martín, MD, PhD, Instituto de Parasitología y Biomedicina "López-Neyra," IPBLN-CSIC, PTS Granada.
Abstract
OBJECTIVE: To evaluate the genetic background of systemic sclerosis (SSc) in the Turkish population. METHODS: There were 354 cases and 718 unaffected controls from Turkey genotyped for the most relevant SSc genetic markers (IRF5-rs10488631, STAT4-rs3821236, CD247-rs2056626, DNASE1L3-rs35677470, IL12A-rs77583790, and ATG5-rs9373839). Association tests were conducted to identify possible associations. RESULTS: Except for ATG5, all the analyzed genes showed either significant associations (IRF5: p = 1.32E-05, OR 1.76; CD247: p = 2.20E-03, OR 0.75) or trends of association (STAT4: p = 0.066, OR 1.21; IL12A: p = 0.079, OR 4.07; DNASE1L3: p = 0.097, OR 1.41) with the overall disease or with specific phenotypes. CONCLUSION: The genetic component of SSc seems to be similar between Turks and Europeans.
OBJECTIVE: To evaluate the genetic background of systemic sclerosis (SSc) in the Turkish population. METHODS: There were 354 cases and 718 unaffected controls from Turkey genotyped for the most relevant SSc genetic markers (IRF5-rs10488631, STAT4-rs3821236, CD247-rs2056626, DNASE1L3-rs35677470, IL12A-rs77583790, and ATG5-rs9373839). Association tests were conducted to identify possible associations. RESULTS: Except for ATG5, all the analyzed genes showed either significant associations (IRF5: p = 1.32E-05, OR 1.76; CD247: p = 2.20E-03, OR 0.75) or trends of association (STAT4: p = 0.066, OR 1.21; IL12A: p = 0.079, OR 4.07; DNASE1L3: p = 0.097, OR 1.41) with the overall disease or with specific phenotypes. CONCLUSION: The genetic component of SSc seems to be similar between Turks and Europeans.