Research ArticleArticle
Psoriasis Characteristics for the Early Detection of Psoriatic Arthritis
Sophie Belman, Jessica A. Walsh, Courtney Carroll, Michael Milliken, Benjamin Haaland, Kristina C. Duffin, Gerald G. Krueger and Bing-Jian Feng
The Journal of Rheumatology April 2021, jrheum.201123; DOI: https://doi.org/10.3899/jrheum.201123
Sophie Belman
This study was partially supported by the 2019 Discovery Research Grant and Psoriatic Arthritis Diagnostic Test Grant from the National Psoriasis Foundation, the 2018 Immunology, Inflammation, and Infectious Diseases 3i Initiative at the University of Utah, and Pfizer Inc. (grant numbers WI227108 and WI240276). The support and resources from the Center for High-Performance Computing at the University of Utah are gratefully acknowledged. The computational resources used were partially funded by the National Institutes of Health (NIH) Shared Instrumentation Grant 1S10OD021644-01A1. This project utilized REDCap at the University of Utah, supported by grant 8UL1TR000105 ( formerly UL1RR025764) from the National Center for Advancing Translational Sciences and NIH. S. Belman, MSc, School of Medicine, University of Utah, Salt Lake City, Utah, USA, and Wellcome Sanger Institute, University of Cambridge, Hinxton, UK; J.A. Walsh, MD, C. Carroll, MSc, M. Milliken, MD, MPH, K. Callis Duffin, MD, G.G. Krueger, MD, School of Medicine, University of Utah, Salt Lake City, Utah, USA; B. Haaland, PhD, B.J. Feng, PhD, School of Medicine, and Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA. The PERCH software, for which BJF is the inventor, has been nonexclusively licensed to Ambry Genetics Corporation for their clinical genetic testing services and research. BJF also reports funding and sponsorship to his institution on his behalf from Pfizer Inc., Regeneron Genetics Center LLC., and AstraZeneca. BH has consulted for the National Kidney Foundation and Value Analytics Labs. The remaining authors declare no potential conflicts of interest relevant to this article. Address correspondence to Dr. B.J. Feng, 30 N 1900 E, Department of Dermatology, Salt Lake City, UT 84132, USA. Email: bingjian.feng@hsc.utah.edu. Accepted for publication March 29, 2021.
Jessica A. Walsh
This study was partially supported by the 2019 Discovery Research Grant and Psoriatic Arthritis Diagnostic Test Grant from the National Psoriasis Foundation, the 2018 Immunology, Inflammation, and Infectious Diseases 3i Initiative at the University of Utah, and Pfizer Inc. (grant numbers WI227108 and WI240276). The support and resources from the Center for High-Performance Computing at the University of Utah are gratefully acknowledged. The computational resources used were partially funded by the National Institutes of Health (NIH) Shared Instrumentation Grant 1S10OD021644-01A1. This project utilized REDCap at the University of Utah, supported by grant 8UL1TR000105 ( formerly UL1RR025764) from the National Center for Advancing Translational Sciences and NIH. S. Belman, MSc, School of Medicine, University of Utah, Salt Lake City, Utah, USA, and Wellcome Sanger Institute, University of Cambridge, Hinxton, UK; J.A. Walsh, MD, C. Carroll, MSc, M. Milliken, MD, MPH, K. Callis Duffin, MD, G.G. Krueger, MD, School of Medicine, University of Utah, Salt Lake City, Utah, USA; B. Haaland, PhD, B.J. Feng, PhD, School of Medicine, and Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA. The PERCH software, for which BJF is the inventor, has been nonexclusively licensed to Ambry Genetics Corporation for their clinical genetic testing services and research. BJF also reports funding and sponsorship to his institution on his behalf from Pfizer Inc., Regeneron Genetics Center LLC., and AstraZeneca. BH has consulted for the National Kidney Foundation and Value Analytics Labs. The remaining authors declare no potential conflicts of interest relevant to this article. Address correspondence to Dr. B.J. Feng, 30 N 1900 E, Department of Dermatology, Salt Lake City, UT 84132, USA. Email: bingjian.feng@hsc.utah.edu. Accepted for publication March 29, 2021.
Courtney Carroll
This study was partially supported by the 2019 Discovery Research Grant and Psoriatic Arthritis Diagnostic Test Grant from the National Psoriasis Foundation, the 2018 Immunology, Inflammation, and Infectious Diseases 3i Initiative at the University of Utah, and Pfizer Inc. (grant numbers WI227108 and WI240276). The support and resources from the Center for High-Performance Computing at the University of Utah are gratefully acknowledged. The computational resources used were partially funded by the National Institutes of Health (NIH) Shared Instrumentation Grant 1S10OD021644-01A1. This project utilized REDCap at the University of Utah, supported by grant 8UL1TR000105 ( formerly UL1RR025764) from the National Center for Advancing Translational Sciences and NIH. S. Belman, MSc, School of Medicine, University of Utah, Salt Lake City, Utah, USA, and Wellcome Sanger Institute, University of Cambridge, Hinxton, UK; J.A. Walsh, MD, C. Carroll, MSc, M. Milliken, MD, MPH, K. Callis Duffin, MD, G.G. Krueger, MD, School of Medicine, University of Utah, Salt Lake City, Utah, USA; B. Haaland, PhD, B.J. Feng, PhD, School of Medicine, and Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA. The PERCH software, for which BJF is the inventor, has been nonexclusively licensed to Ambry Genetics Corporation for their clinical genetic testing services and research. BJF also reports funding and sponsorship to his institution on his behalf from Pfizer Inc., Regeneron Genetics Center LLC., and AstraZeneca. BH has consulted for the National Kidney Foundation and Value Analytics Labs. The remaining authors declare no potential conflicts of interest relevant to this article. Address correspondence to Dr. B.J. Feng, 30 N 1900 E, Department of Dermatology, Salt Lake City, UT 84132, USA. Email: bingjian.feng@hsc.utah.edu. Accepted for publication March 29, 2021.
Michael Milliken
This study was partially supported by the 2019 Discovery Research Grant and Psoriatic Arthritis Diagnostic Test Grant from the National Psoriasis Foundation, the 2018 Immunology, Inflammation, and Infectious Diseases 3i Initiative at the University of Utah, and Pfizer Inc. (grant numbers WI227108 and WI240276). The support and resources from the Center for High-Performance Computing at the University of Utah are gratefully acknowledged. The computational resources used were partially funded by the National Institutes of Health (NIH) Shared Instrumentation Grant 1S10OD021644-01A1. This project utilized REDCap at the University of Utah, supported by grant 8UL1TR000105 ( formerly UL1RR025764) from the National Center for Advancing Translational Sciences and NIH. S. Belman, MSc, School of Medicine, University of Utah, Salt Lake City, Utah, USA, and Wellcome Sanger Institute, University of Cambridge, Hinxton, UK; J.A. Walsh, MD, C. Carroll, MSc, M. Milliken, MD, MPH, K. Callis Duffin, MD, G.G. Krueger, MD, School of Medicine, University of Utah, Salt Lake City, Utah, USA; B. Haaland, PhD, B.J. Feng, PhD, School of Medicine, and Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA. The PERCH software, for which BJF is the inventor, has been nonexclusively licensed to Ambry Genetics Corporation for their clinical genetic testing services and research. BJF also reports funding and sponsorship to his institution on his behalf from Pfizer Inc., Regeneron Genetics Center LLC., and AstraZeneca. BH has consulted for the National Kidney Foundation and Value Analytics Labs. The remaining authors declare no potential conflicts of interest relevant to this article. Address correspondence to Dr. B.J. Feng, 30 N 1900 E, Department of Dermatology, Salt Lake City, UT 84132, USA. Email: bingjian.feng@hsc.utah.edu. Accepted for publication March 29, 2021.
Benjamin Haaland
This study was partially supported by the 2019 Discovery Research Grant and Psoriatic Arthritis Diagnostic Test Grant from the National Psoriasis Foundation, the 2018 Immunology, Inflammation, and Infectious Diseases 3i Initiative at the University of Utah, and Pfizer Inc. (grant numbers WI227108 and WI240276). The support and resources from the Center for High-Performance Computing at the University of Utah are gratefully acknowledged. The computational resources used were partially funded by the National Institutes of Health (NIH) Shared Instrumentation Grant 1S10OD021644-01A1. This project utilized REDCap at the University of Utah, supported by grant 8UL1TR000105 ( formerly UL1RR025764) from the National Center for Advancing Translational Sciences and NIH. S. Belman, MSc, School of Medicine, University of Utah, Salt Lake City, Utah, USA, and Wellcome Sanger Institute, University of Cambridge, Hinxton, UK; J.A. Walsh, MD, C. Carroll, MSc, M. Milliken, MD, MPH, K. Callis Duffin, MD, G.G. Krueger, MD, School of Medicine, University of Utah, Salt Lake City, Utah, USA; B. Haaland, PhD, B.J. Feng, PhD, School of Medicine, and Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA. The PERCH software, for which BJF is the inventor, has been nonexclusively licensed to Ambry Genetics Corporation for their clinical genetic testing services and research. BJF also reports funding and sponsorship to his institution on his behalf from Pfizer Inc., Regeneron Genetics Center LLC., and AstraZeneca. BH has consulted for the National Kidney Foundation and Value Analytics Labs. The remaining authors declare no potential conflicts of interest relevant to this article. Address correspondence to Dr. B.J. Feng, 30 N 1900 E, Department of Dermatology, Salt Lake City, UT 84132, USA. Email: bingjian.feng@hsc.utah.edu. Accepted for publication March 29, 2021.
Kristina C. Duffin
This study was partially supported by the 2019 Discovery Research Grant and Psoriatic Arthritis Diagnostic Test Grant from the National Psoriasis Foundation, the 2018 Immunology, Inflammation, and Infectious Diseases 3i Initiative at the University of Utah, and Pfizer Inc. (grant numbers WI227108 and WI240276). The support and resources from the Center for High-Performance Computing at the University of Utah are gratefully acknowledged. The computational resources used were partially funded by the National Institutes of Health (NIH) Shared Instrumentation Grant 1S10OD021644-01A1. This project utilized REDCap at the University of Utah, supported by grant 8UL1TR000105 ( formerly UL1RR025764) from the National Center for Advancing Translational Sciences and NIH. S. Belman, MSc, School of Medicine, University of Utah, Salt Lake City, Utah, USA, and Wellcome Sanger Institute, University of Cambridge, Hinxton, UK; J.A. Walsh, MD, C. Carroll, MSc, M. Milliken, MD, MPH, K. Callis Duffin, MD, G.G. Krueger, MD, School of Medicine, University of Utah, Salt Lake City, Utah, USA; B. Haaland, PhD, B.J. Feng, PhD, School of Medicine, and Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA. The PERCH software, for which BJF is the inventor, has been nonexclusively licensed to Ambry Genetics Corporation for their clinical genetic testing services and research. BJF also reports funding and sponsorship to his institution on his behalf from Pfizer Inc., Regeneron Genetics Center LLC., and AstraZeneca. BH has consulted for the National Kidney Foundation and Value Analytics Labs. The remaining authors declare no potential conflicts of interest relevant to this article. Address correspondence to Dr. B.J. Feng, 30 N 1900 E, Department of Dermatology, Salt Lake City, UT 84132, USA. Email: bingjian.feng@hsc.utah.edu. Accepted for publication March 29, 2021.
Gerald G. Krueger
This study was partially supported by the 2019 Discovery Research Grant and Psoriatic Arthritis Diagnostic Test Grant from the National Psoriasis Foundation, the 2018 Immunology, Inflammation, and Infectious Diseases 3i Initiative at the University of Utah, and Pfizer Inc. (grant numbers WI227108 and WI240276). The support and resources from the Center for High-Performance Computing at the University of Utah are gratefully acknowledged. The computational resources used were partially funded by the National Institutes of Health (NIH) Shared Instrumentation Grant 1S10OD021644-01A1. This project utilized REDCap at the University of Utah, supported by grant 8UL1TR000105 ( formerly UL1RR025764) from the National Center for Advancing Translational Sciences and NIH. S. Belman, MSc, School of Medicine, University of Utah, Salt Lake City, Utah, USA, and Wellcome Sanger Institute, University of Cambridge, Hinxton, UK; J.A. Walsh, MD, C. Carroll, MSc, M. Milliken, MD, MPH, K. Callis Duffin, MD, G.G. Krueger, MD, School of Medicine, University of Utah, Salt Lake City, Utah, USA; B. Haaland, PhD, B.J. Feng, PhD, School of Medicine, and Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA. The PERCH software, for which BJF is the inventor, has been nonexclusively licensed to Ambry Genetics Corporation for their clinical genetic testing services and research. BJF also reports funding and sponsorship to his institution on his behalf from Pfizer Inc., Regeneron Genetics Center LLC., and AstraZeneca. BH has consulted for the National Kidney Foundation and Value Analytics Labs. The remaining authors declare no potential conflicts of interest relevant to this article. Address correspondence to Dr. B.J. Feng, 30 N 1900 E, Department of Dermatology, Salt Lake City, UT 84132, USA. Email: bingjian.feng@hsc.utah.edu. Accepted for publication March 29, 2021.
Bing-Jian Feng
This study was partially supported by the 2019 Discovery Research Grant and Psoriatic Arthritis Diagnostic Test Grant from the National Psoriasis Foundation, the 2018 Immunology, Inflammation, and Infectious Diseases 3i Initiative at the University of Utah, and Pfizer Inc. (grant numbers WI227108 and WI240276). The support and resources from the Center for High-Performance Computing at the University of Utah are gratefully acknowledged. The computational resources used were partially funded by the National Institutes of Health (NIH) Shared Instrumentation Grant 1S10OD021644-01A1. This project utilized REDCap at the University of Utah, supported by grant 8UL1TR000105 ( formerly UL1RR025764) from the National Center for Advancing Translational Sciences and NIH. S. Belman, MSc, School of Medicine, University of Utah, Salt Lake City, Utah, USA, and Wellcome Sanger Institute, University of Cambridge, Hinxton, UK; J.A. Walsh, MD, C. Carroll, MSc, M. Milliken, MD, MPH, K. Callis Duffin, MD, G.G. Krueger, MD, School of Medicine, University of Utah, Salt Lake City, Utah, USA; B. Haaland, PhD, B.J. Feng, PhD, School of Medicine, and Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah, USA. The PERCH software, for which BJF is the inventor, has been nonexclusively licensed to Ambry Genetics Corporation for their clinical genetic testing services and research. BJF also reports funding and sponsorship to his institution on his behalf from Pfizer Inc., Regeneron Genetics Center LLC., and AstraZeneca. BH has consulted for the National Kidney Foundation and Value Analytics Labs. The remaining authors declare no potential conflicts of interest relevant to this article. Address correspondence to Dr. B.J. Feng, 30 N 1900 E, Department of Dermatology, Salt Lake City, UT 84132, USA. Email: bingjian.feng@hsc.utah.edu. Accepted for publication March 29, 2021.
In this issue
The Journal of Rheumatology
Vol. 51, Issue 4
1 Apr 2024
Psoriasis Characteristics for the Early Detection of Psoriatic Arthritis
Sophie Belman, Jessica A. Walsh, Courtney Carroll, Michael Milliken, Benjamin Haaland, Kristina C. Duffin, Gerald G. Krueger, Bing-Jian Feng
The Journal of Rheumatology Apr 2021, jrheum.201123; DOI: 10.3899/jrheum.201123