O01 Genetic risk factors associated with increased risk of uveitis in patients with juvenile idiopathic arthritis by Tordoff, Melissa, Smith, Samantha L, Lopez-Isac, Elena, Morris, Andrew, Eyre, Stephen, Thomson, Wendy, Bowes, John

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P18 Investigating the role of rare genetic variants and susceptibility to juvenile idiopathic arthritis highlights the importance of monogenic disease genes by Tordoff, Melissa K, Briggs, Tracy A, Smith, Samantha L, Yarwood, Annie, Thomson, Wendy, Bowes, John

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Integration of Genetic and Clinical Risk Factors for Risk Classification of Uveitis in Patients With Juvenile Idiopathic Arthritis by Tordoff, Melissa, Smith, Samantha L., Lawson‐Tovey, Saskia, Dick, Andrew D., Beresford, Michael W., Ramanan, Athimalaipet V., Hyrich, Kimme L., Morris, Andrew P., Eyre, Stephen, Wedderburn, Lucy R., Bowes, John, Wedderburn, Lucy R., Wanstall, Zoe, Alexiou, Vasiliki, Dekaj, Fatjon, Jebson, Bethany R., Kartawinata, Melissa, Kimonyo, Aline, Hahn, Eileen, Gottschalk, Genevieve, Luling Feilding, Freya, McNeece, Alyssia, Merali, Fatema, Ralph, Elizabeth, Robinson, Emily, Sumner, Emma, Dick, Andrew, Beresford, Michael W., Carlsson, Emil, Fairlie, Joanna, Gritzfeld, Jenna F., McClurg, Oliver, Rafferty, Karen, Ramanan, Athimalaipet V., Duerr, Teresa, Barnes, Michael, Ng, Sandra, Hyrich, Kimme, Eyre, Stephen, Raychaudhuri, Soumya, Thomson, Wendy, Bowes, John, Jennycloss, Jeronee, Lawson‐Tovey, Saskia, Martin, Paul, Morris, Andrew, Shoop‐Worrall, Stephanie, Smith, Samantha, Stadler, Michael, Tarasek, Damian, Tordoff, Melissa, Yarwood, Annie, Wallace, Chris, Lin, Wei‐Yu, Geifman, Nophar, Clarke, Sarah, Sornasse, Thierry, Benschop, Robert J., Wang, Rona, Dastros‐Pitei, Daniela, Mukherjee, Sumanta, McLean, Michael, Barkaway, Anna, Adjamian, Peyman, Neale, Helen

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No evidence that genetic predictors of susceptibility predict changes in core outcomes in JIA by Yarwood, Annie, Shoop-Worrall, Stephanie, López-Isac, Elena, Smith, Samantha Louise, Morris, Andrew P, Bowes, John David, Tordoff, Melissa, Hyrich, Kimme L., Thomson, Wendy, Eyre, Stephen

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Development and implementation of 'A guide to PPIE - Early Integration into Research Proposals' in a multi-disciplinary consortium by Beesley, Richard, Luling Feilding, Freya, Rosser, Elizabeth C, Shoop-Worrall, Stephanie J W, McNeece, Alyssia, Wanstall, Zoe, Hyrich, Kimme, Wedderburn, Lucy R

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OA30 Genetic analysis of whole exome sequencing in a cohort of children with refractory JIA reveals genetic risk factors for rare juvenile diseases by Tordoff, Melissa, Smith, Samantha, Rice, Gillian, Wedderburn, Lucy, Hyrich, Kimme, Morris, Andrew, Briggs, Tracy, Thomson, Wendy, Eyre, Stephen, Bowes, John

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Towards stratified treatment of JIA: machine learning identifies subtypes in response to methotrexate from four UK cohorts by Shoop-Worrall, Stephanie J.W., Lawson-Tovey, Saskia, Wedderburn, Lucy R., Hyrich, Kimme L., Geifman, Nophar, Kimonyo, Aline, McNeece, Alyssia, Dick, Andrew, Morris, Andrew, Yarwood, Annie, Ramanan, Athimalaipet, Jebson, Bethany R., Wallace, Chris, Dastros-Pitei, Daniela, Tarasek, Damian, Ralph, Elizabeth, Carlsson, Emil, Robinson, Emily, Sumner, Emma, Merali, Fatema, Dekaj, Fatjon, Neale, Helen, Al-Mossawi, Hussein, Roberts, Jacqui, Gritzfeld, Jenna F., Fairlie, Joanna, Bowes, John, Ioannou, John, Hyrich, Kimme L., Wedderburn, Lucy R., Kartawinata, Melissa, Tordoff, Melissa, Barnes, Michael, Beresford, Michael W., Stadler, Michael, Geifman, Nophar, Martin, Paul, Kallala, Rami, Ng, Sandra, Smith, Samantha, Clarke, Sarah, Lawson-Tovey, Saskia, Raychaudhuri, Soumya, Shoop-Worrall, Stephanie J.W., Eyre, Stephen, Mukherjee, Sumanta, Duerr, Teresa, Sornasse, Thierry, Alexiou, Vasiliki, Burton, Victoria J., Lin, Wei-Yu, Thomson, Wendy, Wanstall, Zoe

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The successes and challenges of harmonising juvenile idiopathic arthritis (JIA) datasets to create a large-scale JIA data resource by Lawson-Tovey, Saskia, Smith, Samantha Louise, Geifman, Nophar, Shoop-Worrall, Stephanie, Ng, Sandra, Barnes, Michael R, Wedderburn, Lucy R, Hyrich, Kimme L

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Towards stratified treatment of JIA: machine learning identifies subtypes in response to methotrexate from four UK cohortsResearch in context by Stephanie J.W. Shoop-Worrall, Saskia Lawson-Tovey, Lucy R. Wedderburn, Kimme L. Hyrich, Nophar Geifman, Aline Kimonyo, Alyssia McNeece, Andrew Dick, Andrew Morris, Annie Yarwood, Athimalaipet Ramanan, Bethany R. Jebson, Chris Wallace, Daniela Dastros-Pitei, Damian Tarasek, Elizabeth Ralph, Emil Carlsson, Emily Robinson, Emma Sumner, Fatema Merali, Fatjon Dekaj, Helen Neale, Hussein Al-Mossawi, Jacqui Roberts, Jenna F. Gritzfeld, Joanna Fairlie, John Bowes, John Ioannou, Kimme L. Hyrich, Lucy R. Wedderburn, Melissa Kartawinata, Melissa Tordoff, Michael Barnes, Michael W. Beresford, Michael Stadler, Nophar Geifman, Paul Martin, Rami Kallala, Sandra Ng, Samantha Smith, Sarah Clarke, Saskia Lawson-Tovey, Soumya Raychaudhuri, Stephanie J.W. Shoop-Worrall, Stephen Eyre, Sumanta Mukherjee, Teresa Duerr, Thierry Sornasse, Vasiliki Alexiou, Victoria J. Burton, Wei-Yu Lin, Wendy Thomson, Zoe Wanstall

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