دورية أكاديمية

GWAS for systemic sclerosis identifies multiple risk loci and highlights fibrotic and vasculopathy pathways

التفاصيل البيبلوغرافية
العنوان: GWAS for systemic sclerosis identifies multiple risk loci and highlights fibrotic and vasculopathy pathways
المؤلفون: López-Isac, Elena, Acosta-Herrera, Marialbert, Kerick, Martin, Assassi, Shervin, Satpathy, Ansuman T., Granja, Jeffrey, Mumbach, Maxwell R., Beretta, Lorenzo, Simeón, Carmen P., Carreira, Patricia, Ortego-Centeno, Norberto, Castellvi, Ivan, Bossini-Castillo, Lara, Carmona, Francisco David, Orozco, Gisela, Hunzelmann, Nicolas, Distler, Jörg H.W., Franke, Andre, Lunardi, Claudio, Moroncini, Gianluca, Gabrielli, Armando, de Vries-Bouwstra, Jeska, Wijmenga, Cisca, Koeleman, Bobby P.C., Nordin, Annika, Padyukov, Leonid, Hoffmann-Vold, Anna-Maria, Lie, Benedicte Alexandra, Proudman, Susanna, Stevens, Wendy, Nikpour, Mandana, Vyse, Timothy, Herrick, Ariane L., Worthington, Jane, Denton, Christopher P., Allanore, Yannick, Brown, Matthew A., Radstake, Timothy R.D.J., Fonseca, Carmen, Chang, Howard Y., Mayes, Maureen D., Martin, Javier
المصدر: 2041-1723.
سنة النشر: 2020
المجموعة: Universitet i Oslo: Digitale utgivelser ved UiO (DUO)
الوصف: Systemic sclerosis (SSc) is an autoimmune disease that shows one of the highest mortality rates among rheumatic diseases. We perform a large genome-wide association study (GWAS), and meta-analysis with previous GWASs, in 26,679 individuals and identify 27 independent genome-wide associated signals, including 13 new risk loci. The novel associations nearly double the number of genome-wide hits reported for SSc thus far. We define 95% credible sets of less than 5 likely causal variants in 12 loci. Additionally, we identify specific SSc subtype-associated signals. Functional analysis of high-priority variants shows the potential function of SSc signals, with the identification of 43 robust target genes through HiChIP. Our results point towards molecular pathways potentially involved in vasculopathy and fibrosis, two main hallmarks in SSc, and highlight the spectrum of critical cell types for the disease. This work supports a better understanding of the genetic basis of SSc and provides directions for future functional experiments.
نوع الوثيقة: article in journal/newspaper
اللغة: English
العلاقة: http://urn.nb.no/URN:NBN:no-78369Test; López-Isac, Elena Acosta-Herrera, Marialbert Kerick, Martin Assassi, Shervin Satpathy, Ansuman T. Granja, Jeffrey Mumbach, Maxwell R. Beretta, Lorenzo Simeón, Carmen P. Carreira, Patricia Ortego-Centeno, Norberto Castellvi, Ivan Bossini-Castillo, Lara Carmona, Francisco David Orozco, Gisela Hunzelmann, Nicolas Distler, Jörg H.W. Franke, Andre Lunardi, Claudio Moroncini, Gianluca Gabrielli, Armando de Vries-Bouwstra, Jeska Wijmenga, Cisca Koeleman, Bobby P.C. Nordin, Annika Padyukov, Leonid Hoffmann-Vold, Anna-Maria Lie, Benedicte Alexandra Proudman, Susanna Stevens, Wendy Nikpour, Mandana Vyse, Timothy Herrick, Ariane L. Worthington, Jane Denton, Christopher P. Allanore, Yannick Brown, Matthew A. Radstake, Timothy R.D.J. Fonseca, Carmen Chang, Howard Y. Mayes, Maureen D. Martin, Javier . GWAS for systemic sclerosis identifies multiple risk loci and highlights fibrotic and vasculopathy pathways. Nature Communications. 2019, 10:4955, 1-14; http://hdl.handle.net/10852/75280Test; 1766369; info:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Nature Communications&rft.volume=10:4955&rft.spage=1&rft.date=2019; Nature Communications; 10; https://doi.org/10.1038/s41467-019-12760-yTest; URN:NBN:no-78369; Fulltext https://www.duo.uio.no/bitstream/handle/10852/75280/2/GWAS%2Bfor%2Bsystemic%2Bsclerosis%2Bidentifies%2Bmultiple%2Brisk%2Bloci%2Band%2Bhighlights%2Bfibrotic%2Band%2Bvasculopathy%2Bpathways.pdfTest
DOI: 10.1038/s41467-019-12760-y
الإتاحة: https://doi.org/10.1038/s41467-019-12760-yTest
http://hdl.handle.net/10852/75280Test
http://urn.nb.no/URN:NBN:no-78369Test
حقوق: Attribution 4.0 International ; https://creativecommons.org/licenses/by/4.0Test/
رقم الانضمام: edsbas.9317A062
قاعدة البيانات: BASE