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Vyse, Timothy J.

https://orcid.org/0000-0003-1123-1464

Mayo Clinic

National Jewish Health

Citations 3

Analysis of MHC Class II Genes in the Susceptibility to Lupus in New Zealand Mice
Rozzo, Stephen J., Vyse, Timothy J. , David, Chella S., Palmer, Ed, Izui, Shozo, Kotzin, Brian L.

The Journal of Immunology | December 31, 2022 | Volume: 162 | Issue: 5 | Pages: 2623-2630

10.4049/jimmunol.162.5.2623 Get It

Abstract Hybrids of New Zealand Black (NZB) and New Zealand White (NZW) mice spontaneously develop a disease similar to human systemic lupus erythematosus. MHC and non-MHC genes contribute to disease susceptibility in this murine model. Multiple studies have shown that the NZW H2z locus is strongly associated with the development of lupus-like disease in these mice. The susceptibility gene(s) within H2z is not known, but different lines of evidence have pointed to class II MHC genes, either H2-E or H2-A (Ez or Az in NZW). Recent studies from our laboratory showed that Ez does not supplant H2z in the contribution to lupus-like disease. In the present work we generated C57BL/10 (B10) mice transgenic for Aaz and Abz genes (designated B10.Az mice) and used a (B10.Az × NZB)F1 × NZB backcross to assess the contributions of Az genes to disease. A subset of backcross mice produced high levels of IgG autoantibodies and developed severe nephritis. However, no autoimmune phenotype was linked to the Az transgenes. Surprisingly, in the same backcross mice, inheritance of H2b from the nonautoimmune B10 strain was strongly linked with both autoantibody production and nephritis. Taken together with our previous Ez studies, the present work calls into question the importance of class II MHC genes for lupus susceptibility in this model and provides new insight into the role of MHC in lupus-like autoimmunity.
Genetic overlap between autoimmune diseases and non‐Hodgkin lymphoma subtypes
Din, Lennox, Kosaraju, Nikitha , Smedby, Karin E. , Berndt, Sonja I. , Skibola, Christine F., Nieters, Alexandra, Wang, Sophia , McKay, James , Cocco, Pierluigi , Foretová, Lenka , Staines, Anthony , Mack, Thomas M. , Sanjosé, Sílvia de , Vyse, Timothy J. , Padyukov, Leonid , Monnereau, Alain , Arslan, Alan A. , Moore, Amy , Brooks‐Wilson, Angela , Novak, Anne J. , Glimelius, Bengt , Birmann, Brenda M. , Link, Brian K. , Stewart, Carolyn, Vajdic, Claire M. , Magnani, Corrado , Conti, David V. , Cox, David G. , Casabonne, Delphine, Kane, Eleanor , Roman, Eve , Salles, Gilles , Adami, Hans‐Olov , Ghesquières, Hervé , Vivo, Immaculata De , Clavel, Jacqueline , Spinelli, John J., Curtin, Karen , Costenbader, Karen H. , Onel, Kenan , Offit, Kenneth , Morton, Lindsay M. , Conde, Lucía , Miligi, Lucia , Melbye, Mads , Liebow, Mark , Purdue, Mark P. , Glenn, Martha, Din, M. Azhar Ud, Rothman, Nathaniel , Camp, Nicola J. , Doo, Nicole Wong , Becker, Nikolaus, Pradhan, Nisha , Bracci, Paige M. , Vineis, Paolo , Brennan, Paul , Kraft, Peter , Lan, Qing , Severson, Richard K., Vermeulen, Roel , Kaaks, Rudolph, Travis, Ruth C. , Weinstein, Stephanie J. , Ansell, Stephen M. , Zheng, Tongzhang, Benavente, Yolanda , Taub, Zachary, Madireddy, Lohith, Gourraud, Pierre‐Antoine , Oksenberg, Jorge R. , Hjalgrim, Henrik , Khankhanian, Pouya , Cerhan, James R , Khankhanian, Pouya , Link, Brian K , Cocco, Pierluigi , Brooks-Wilson, Angela R , Vajdic, Claire M , Kane, Eleanor , Arslan, Alan A , Travis, Ruth C , De Vivo, Immaculata , Kraft, Peter , Morton, Lindsay M , Padyukov, Leonid , Salles, Gilles A , Wang, Sophia S , Birmann, Brenda M , Roman, Eve , Clavel, Jacqueline , Conti, David V , Doo, Nicole Wong , Sheikh, Mohammad, Bernatsky, Sasha , Maynadié, Marc , Haïoun, Corinne , Casabonne, Delphine , Albanes, Demetrius , Muzi, Giacomo , Giles, Graham G. , Cerhan, James R. , Hofmann, Jonathan N. , Vijai, Joseph , Teras, Lauren R. , Ennas, Maria Grazia , Southey, Melissa C. , Boffetta, Paolo , Milne, Roger L. , Chanock, Stephen Jacob , Slager, Susan L. , Zhang, Yawei , Cozen, Wendy

Genetic Epidemiology | August 13, 2019 | Volume: 43 | Issue: 7 | Pages: 844-863

10.1002/gepi.22242 Get It

AbstractEpidemiologic studies show an increased risk of non‐Hodgkin lymphoma (NHL) in patients with autoimmune disease (AD), due to a combination of shared environmental factors and/or genetic factors, or a causative cascade: chronic inflammation/antigen‐stimulation in one disease leads to another. Here we assess shared genetic risk in genome‐wide‐association‐studies (GWAS).Secondary analysis of GWAS of NHL subtypes (chronic lymphocytic leukemia, diffuse large B‐cell lymphoma, follicular lymphoma, and marginal zone lymphoma) and ADs (rheumatoid arthritis, systemic lupus erythematosus, and multiple sclerosis). Shared genetic risk was assessed by (a) description of regional genetic of overlap, (b) polygenic risk score (PRS), (c)"diseasome", (d)meta‐analysis.Descriptive analysis revealed few shared genetic factors between each AD and each NHL subtype. The PRS of ADs were not increased in NHL patients (nor vice versa). In the diseasome, NHLs shared more genetic etiology with ADs than solid cancers (p = .0041). A meta‐analysis (combing AD with NHL) implicated genes of apoptosis and telomere length.This GWAS‐based analysis four NHL subtypes and three ADs revealed few weakly‐associated shared loci, explaining little total risk. This suggests common genetic variation, as assessed by GWAS in these sample sizes, may not be the primary explanation for the link between these ADs and NHLs.
Identification of Susceptibility Loci in IL6 , RPS9 / LILRB3 , and an Intergenic Locus on Chromosome 21q22 in Takay
Saruhan‐Direskeneli, Güher , Coit, Patrick , Adler, Adam, Aksu, Kenan , Alıbaz-Öner, Fatma , Aydın, Sibel Zehra , Kamalı, Sevil , Carette, Simon , Cuthbertson, David , Hoffman, Gary S., Önen, Fatoş , Akkoç, Nurullah , Koening, Curry L. , Karadağ, Ömer , Kiraz, Sedat , Langford, Carol A. , Maksimowicz‐McKinnon, Kathleen , McAlear, Carol A. , Özbalkan, Zeynep, Ateş, Aşkın , Karaaslan, Yaşar , Düzgün, Nurşen , Özer, Hüseyin , Erken, Eren , Öztürk, Mehmet Akif , Yazıcı, Ayten , Çefle, Ayşe , Onat, Ahmet Mesut , Kısacık, Bünyamin , Kaşifoğlu, Timuçin , Fresko, İzzet , Seo, Philip , Sreih, Antoine G. , Warrington, Kenneth J. , Ytterberg, Steven R. , Çobankara, Veli , Cunninghame‐Graham, Deborah S., Vyse, Timothy J. , Pamuk, Ömer Nuri̇ , Tunç, Şevket Ercan , Dalkılıç, Ediz , Bıçakçıgil, Müge, Yentür, Sibel P., Wren, Jonathan D. , Sawalha, Amr H. , Renauer, Paul A. , Keser, Gökhan , İnanç, Murat , Akar, Servet , Khalidi, Nader , Monach, Paul A. , Pagnoux, Christian , Seyahi, Emire , Merkel, Peter A. , Di̇reskeneli̇, Haner , Warrington, Kenneth J

Arthritis & Rheumatology | January 20, 2015 | Volume: 67 | Issue: 5 | Pages: 1361-1368

10.1002/art.39035 Get It

Objective Takayasu arteritis is a rare large vessel vasculitis with incompletely understood etiology. This study was undertaken to perform the first unbiased genome‐wide association analysis of Takayasu arteritis. Methods Two independent cohorts of patients with Takayasu arteritis from Turkey and North America were included in our study. The Turkish cohort consisted of 559 patients and 489 controls, and the North American cohort consisted of 134 patients and 1,047 controls of European ancestry. Genotyping was performed using the Omni1‐Quad and Omni2.5 genotyping arrays. Genotyping data were subjected to rigorous quality control measures and subsequently analyzed to discover genetic susceptibility loci for Takayasu arteritis. Results We identified genetic susceptibility loci for Takayasu arteritis with a genome‐wide level of significance in IL6 (rs2069837) (odds ratio [OR] 2.07, P = 6.70 × 10 −9 ), RPS9 / LILRB3 (rs11666543) (OR 1.65, P = 2.34 × 10 −8 ), and an intergenic locus on chromosome 21q22 (rs2836878) (OR 1.79, P = 3.62 × 10 −10 ). The genetic susceptibility locus in RPS9 / LILRB3 lies within the leukocyte receptor complex gene cluster on chromosome 19q13.4, and the disease risk variant in this locus correlates with reduced expression of multiple genes including the inhibitory leukocyte immunoglobulin‐like receptor gene LILRB3 ( P = 2.29 × 10 −8 ). In addition, we identified candidate susceptibility genes with suggestive levels of association ( P < 1 × 10 −5 ) with Takayasu arteritis, including PCSK5, LILRA3, PPM1G/NRBP1 , and PTK2B . Conclusion Our findings indicate novel genetic susceptibility loci for Takayasu arteritis and uncover potentially important aspects of the pathophysiology of this form of vasculitis.