Research ArticleSpondyloarthritis
Prediction of Ankylosing Spondylitis in the HUNT Study by a Genetic Risk Score Combining 110 Single-nucleotide Polymorphisms of Genome-wide Significance
Sina Rostami, Mari Hoff, Matthew A. Brown, Kristian Hveem, Oddgeir L. Holmen, Lars G. Fritsche and Vibeke Videm
The Journal of Rheumatology February 2020, 47 (2) 204-210; DOI: https://doi.org/10.3899/jrheum.181209
Sina Rostami
From the Department of Clinical and Molecular Medicine, Department of Neuromedicine and Movement Science, and Department of Public Health and Nursing, Faculty of Medicine and Health Sciences, NTNU -Norwegian University of Science and Technology, Trondheim; Department of Rheumatology and Department of Immunology and Transfusion Medicine, St. Olavs University Hospital, Trondheim, Norway; Institute of Health and Biomedical Innovation, Translational Research Institute, Princess Alexandra Hospital, Queensland University of Technology, Brisbane, Australia; Department of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, Michigan,
USA.
Mari Hoff
Matthew A. Brown
Kristian Hveem
Oddgeir L. Holmen
Lars G. Fritsche
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In this issue
The Journal of Rheumatology
Vol. 47, Issue 2
1 Feb 2020
Prediction of Ankylosing Spondylitis in the HUNT Study by a Genetic Risk Score Combining 110 Single-nucleotide Polymorphisms of Genome-wide Significance
Sina Rostami, Mari Hoff, Matthew A. Brown, Kristian Hveem, Oddgeir L. Holmen, Lars G. Fritsche, Vibeke Videm
The Journal of Rheumatology Feb 2020, 47 (2) 204-210; DOI: 10.3899/jrheum.181209
Prediction of Ankylosing Spondylitis in the HUNT Study by a Genetic Risk Score Combining 110 Single-nucleotide Polymorphisms of Genome-wide Significance
Sina Rostami, Mari Hoff, Matthew A. Brown, Kristian Hveem, Oddgeir L. Holmen, Lars G. Fritsche, Vibeke Videm
The Journal of Rheumatology Feb 2020, 47 (2) 204-210; DOI: 10.3899/jrheum.181209