IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0060646.html
   My bibliography  Save this article

Evidence of New Risk Genetic Factor to Systemic Lupus Erythematosus: The UBASH3A Gene

Author

Listed:
  • Lina-Marcela Diaz-Gallo
  • Elena Sánchez
  • Norberto Ortego-Centeno
  • Jose Mario Sabio
  • Francisco J García-Hernández
  • Enrique de Ramón
  • Miguel A González-Gay
  • Torsten Witte
  • Hans-Joachim Anders
  • María F González-Escribano
  • Javier Martin

Abstract

The ubiquitin associated and Src-homology 3 (SH3) domain containing A (UBASH3a) is a suppressor of T-cell receptor signaling, underscoring antigen presentation to T-cells as a critical shared mechanism of diseases pathogenesis. The aim of the present study was to determine whether the UBASH3a gene influence the susceptibility to systemic lupus erythematosus (SLE) in Caucasian populations. We evaluated five UBASH3a polymorphisms (rs2277798, rs2277800, rs9976767, rs13048049 and rs17114930), using TaqMan® allelic discrimination assays, in a discovery cohort that included 906 SLE patients and 1165 healthy controls from Spain. The SNPs that exhibit statistical significance difference were evaluated in a German replication cohort of 360 SLE patients and 379 healthy controls. The case-control analysis in the Spanish population showed a significant association between the rs9976767 and SLE (Pc = 9.9E-03 OR = 1.21 95%CI = 1.07–1.37) and a trend of association for the rs2277798 analysis (P = 0.09 OR = 0.9 95%CI = 0.79–1.02). The replication in a German cohort and the meta-analysis confirmed that the rs9976767 (Pc = 0.02; Pc = 2.4E-04, for German cohort and meta-analysis, respectively) and rs2277798 (Pc = 0.013; Pc = 4.7E-03, for German cohort and meta-analysis, respectively) UBASH3a variants are susceptibility factors for SLE. Finally, a conditional regression analysis suggested that the most likely genetic variation responsible for the association was the rs9976767 polymorphism. Our results suggest that UBASH3a gene plays a role in the susceptibility to SLE. Moreover, our study indicates that UBASH3a can be considered as a common genetic factor in autoimmune diseases.

Suggested Citation

  • Lina-Marcela Diaz-Gallo & Elena Sánchez & Norberto Ortego-Centeno & Jose Mario Sabio & Francisco J García-Hernández & Enrique de Ramón & Miguel A González-Gay & Torsten Witte & Hans-Joachim Anders & M, 2013. "Evidence of New Risk Genetic Factor to Systemic Lupus Erythematosus: The UBASH3A Gene," PLOS ONE, Public Library of Science, vol. 8(4), pages 1-5, April.
  • Handle: RePEc:plo:pone00:0060646
    DOI: 10.1371/journal.pone.0060646
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0060646
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0060646&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0060646?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Miriam F. Moffatt & Michael Kabesch & Liming Liang & Anna L. Dixon & David Strachan & Simon Heath & Martin Depner & Andrea von Berg & Albrecht Bufe & Ernst Rietschel & Andrea Heinzmann & Burkard Simma, 2007. "Genetic variants regulating ORMDL3 expression contribute to the risk of childhood asthma," Nature, Nature, vol. 448(7152), pages 470-473, July.
    2. Alexandra C Nica & Leopold Parts & Daniel Glass & James Nisbet & Amy Barrett & Magdalena Sekowska & Mary Travers & Simon Potter & Elin Grundberg & Kerrin Small & Åsa K Hedman & Veronique Bataille & Jo, 2011. "The Architecture of Gene Regulatory Variation across Multiple Human Tissues: The MuTHER Study," PLOS Genetics, Public Library of Science, vol. 7(2), pages 1-9, February.
    3. Alexandra Zhernakova & Eli A Stahl & Gosia Trynka & Soumya Raychaudhuri & Eleanora A Festen & Lude Franke & Harm-Jan Westra & Rudolf S N Fehrmann & Fina A S Kurreeman & Brian Thomson & Namrata Gupta &, 2011. "Meta-Analysis of Genome-Wide Association Studies in Celiac Disease and Rheumatoid Arthritis Identifies Fourteen Non-HLA Shared Loci," PLOS Genetics, Public Library of Science, vol. 7(2), pages 1-13, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Josine L Min & Jennifer M Taylor & J Brent Richards & Tim Watts & Fredrik H Pettersson & John Broxholme & Kourosh R Ahmadi & Gabriela L Surdulescu & Ernesto Lowy & Christian Gieger & Chris Newton-Cheh, 2011. "The Use of Genome-Wide eQTL Associations in Lymphoblastoid Cell Lines to Identify Novel Genetic Pathways Involved in Complex Traits," PLOS ONE, Public Library of Science, vol. 6(7), pages 1-14, July.
    2. Zari Dastani & Marie-France Hivert & Nicholas Timpson & John R B Perry & Xin Yuan & Robert A Scott & Peter Henneman & Iris M Heid & Jorge R Kizer & Leo-Pekka Lyytikäinen & Christian Fuchsberger & Tosh, 2012. "Novel Loci for Adiponectin Levels and Their Influence on Type 2 Diabetes and Metabolic Traits: A Multi-Ethnic Meta-Analysis of 45,891 Individuals," PLOS Genetics, Public Library of Science, vol. 8(3), pages 1-23, March.
    3. Hang Yin & Jian Zheng & Qiuqiu He & Xuan Zhang & Xuzichao Li & Yongjian Ma & Xiao Liang & Jiaqi Gao & Benjamin L. Kocsis & Zhuang Li & Xiang Liu & Neal M. Alto & Long Li & Heng Zhang, 2023. "Insights into the GSDMB-mediated cellular lysis and its targeting by IpaH7.8," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    4. Guangdie Yang & Junjun Chen & Fei Xu & Zhang Bao & Yake Yao & Jianying Zhou, 2014. "Association between Tumor Necrosis Factor-α rs1800629 Polymorphism and Risk of Asthma: A Meta-Analysis," PLOS ONE, Public Library of Science, vol. 9(6), pages 1-11, June.
    5. Joverlyn Gaudillo & Jae Joseph Russell Rodriguez & Allen Nazareno & Lei Rigi Baltazar & Julianne Vilela & Rommel Bulalacao & Mario Domingo & Jason Albia, 2019. "Machine learning approach to single nucleotide polymorphism-based asthma prediction," PLOS ONE, Public Library of Science, vol. 14(12), pages 1-12, December.
    6. Ryan Abo & Gregory D Jenkins & Liewei Wang & Brooke L Fridley, 2012. "Identifying the Genetic Variation of Gene Expression Using Gene Sets: Application of Novel Gene Set eQTL Approach to PharmGKB and KEGG," PLOS ONE, Public Library of Science, vol. 7(8), pages 1-11, August.
    7. Nicoló Fusi & Oliver Stegle & Neil D Lawrence, 2012. "Joint Modelling of Confounding Factors and Prominent Genetic Regulators Provides Increased Accuracy in Genetical Genomics Studies," PLOS Computational Biology, Public Library of Science, vol. 8(1), pages 1-9, January.
    8. Jin Hyun Ju & Sushila A Shenoy & Ronald G Crystal & Jason G Mezey, 2017. "An independent component analysis confounding factor correction framework for identifying broad impact expression quantitative trait loci," PLOS Computational Biology, Public Library of Science, vol. 13(5), pages 1-26, May.
    9. Diptavo Dutta & Yuan He & Ashis Saha & Marios Arvanitis & Alexis Battle & Nilanjan Chatterjee, 2022. "Aggregative trans-eQTL analysis detects trait-specific target gene sets in whole blood," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
    10. Tian Xie & Peng Liu & Xinyue Wu & Feitong Dong & Zike Zhang & Jian Yue & Usha Mahawar & Faheem Farooq & Hisham Vohra & Qi Fang & Wenchen Liu & Binks W. Wattenberg & Xin Gong, 2023. "Ceramide sensing by human SPT-ORMDL complex for establishing sphingolipid homeostasis," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
    11. Adaikalavan Ramasamy & Mikko Kuokkanen & Sailaja Vedantam & Zofia K Gajdos & Alexessander Couto Alves & Helen N Lyon & Manuel A R Ferreira & David P Strachan & Jing Hua Zhao & Michael J Abramson & Mat, 2012. "Genome-Wide Association Studies of Asthma in Population-Based Cohorts Confirm Known and Suggested Loci and Identify an Additional Association near HLA," PLOS ONE, Public Library of Science, vol. 7(9), pages 1-10, September.
    12. Maggie C Y Ng & Daniel Shriner & Brian H Chen & Jiang Li & Wei-Min Chen & Xiuqing Guo & Jiankang Liu & Suzette J Bielinski & Lisa R Yanek & Michael A Nalls & Mary E Comeau & Laura J Rasmussen-Torvik &, 2014. "Meta-Analysis of Genome-Wide Association Studies in African Americans Provides Insights into the Genetic Architecture of Type 2 Diabetes," PLOS Genetics, Public Library of Science, vol. 10(8), pages 1-14, August.
    13. Michael A Nalls & David J Couper & Toshiko Tanaka & Frank J A van Rooij & Ming-Huei Chen & Albert V Smith & Daniela Toniolo & Neil A Zakai & Qiong Yang & Andreas Greinacher & Andrew R Wood & Melissa G, 2011. "Multiple Loci Are Associated with White Blood Cell Phenotypes," PLOS Genetics, Public Library of Science, vol. 7(6), pages 1-16, June.
    14. Leyao Wang & William Murk & Andrew T DeWan, 2015. "Genome-Wide Gene by Environment Interaction Analysis Identifies Common SNPs at 17q21.2 that Are Associated with Increased Body Mass Index Only among Asthmatics," PLOS ONE, Public Library of Science, vol. 10(12), pages 1-14, December.
    15. Hirofumi Nakaoka & Tailin Cui & Atsushi Tajima & Akira Oka & Shigeki Mitsunaga & Koichi Kashiwase & Yasuhiko Homma & Shinji Sato & Yasuo Suzuki & Hidetoshi Inoko & Ituro Inoue, 2011. "A Systems Genetics Approach Provides a Bridge from Discovered Genetic Variants to Biological Pathways in Rheumatoid Arthritis," PLOS ONE, Public Library of Science, vol. 6(9), pages 1-16, September.
    16. Ya Cui & Frederick J. Arnold & Fanglue Peng & Dan Wang & Jason Sheng Li & Sebastian Michels & Eric J. Wagner & Albert R. Spada & Wei Li, 2023. "Alternative polyadenylation transcriptome-wide association study identifies APA-linked susceptibility genes in brain disorders," Nature Communications, Nature, vol. 14(1), pages 1-15, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0060646. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.