Prediction model for knee osteoarthritis based on genetic and clinical information |
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| Authors: | Hiroshi Takahashi Masahiro Nakajima Kouichi Ozaki Toshihiro Tanaka Naoyuki Kamatani Shiro Ikegawa |
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| Institution: | (1) Laboratory for Statistical Analysis, Center for Genomic Medicine, RIKEN, 4-6-1 Shirokanedai, 108-8639 Minato-ku, Tokyo, Japan;(2) Laboratory for Bone and Joint Diseases, Center for Genomic Medicine, RIKEN, 4-6-1 Shirokanedai, 108-8639 Minato-ku, Tokyo, Japan;(3) Laboratory for Cardiovascular Diseases, Center for Genomic Medicine, RIKEN, 1-7-22 Suehiro-cho, 230-0045 Tsurumi-ku, Yokohama, Kanagawa, Japan |
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| Abstract: | Introduction Osteoarthritis (OA) is the most common bone and joint disease influenced by genetic and environmental factors. Recent association
studies have uncovered the genetic factors behind OA, its susceptibility genes, which would enable us to predict disease occurrence
based on genotype information. However, most previous studies have evaluated the effects of only a single susceptibility gene,
and hence prediction based on such information is not as reliable. Here, we constructed OA-prediction models based on genotype
information from a case-control association study and tested their predictability. |
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