path(MESH:"Osteoarthritis, Knee") positiveCorrelation path(MESH:"Knee Injuries")

View Subject View Object

PubMed:30505280

Obesity, genetic factors, and aging are some of the most prominent risk factors (Sharma et al., 2006), and in the younger population, previous knee injury is an important contributor to increased prevalence of knee OA – as much as half of those sustaining a knee injury in their 20s had developed posttraumatic knee OA in the following 12 to 14 years (Lohmander et al., 2004, 2007; von Porat et al., 2004).

Related Edges 7

• bp(GO:aging) positiveCorrelation path(MESH:"Osteoarthritis, Knee")
• bp(MESH:"Genetic Markers") positiveCorrelation path(MESH:"Osteoarthritis, Knee")
• path(MESH:"Knee Injuries") positiveCorrelation path(MESH:"Osteoarthritis, Knee")
• path(MESH:"Osteoarthritis, Knee") positiveCorrelation path(MESH:Obesity)
• path(MESH:"Osteoarthritis, Knee") positiveCorrelation bp(GO:aging)
• path(MESH:"Osteoarthritis, Knee") positiveCorrelation bp(MESH:"Genetic Markers")
• path(MESH:Obesity) positiveCorrelation path(MESH:"Osteoarthritis, Knee")

Text Location

Introduction

BEL Commons is developed and maintained in an academic capacity by Charles Tapley Hoyt and Daniel Domingo-Fernández at the Fraunhofer SCAI Department of Bioinformatics with support from the IMI project, AETIONOMY. It is built on top of PyBEL, an open source project. Please feel free to contact us here to give us feedback or report any issues. Also, see our Publishing Notes and Data Protection information.

If you find BEL Commons useful in your work, please consider citing: Hoyt, C. T., Domingo-Fernández, D., & Hofmann-Apitius, M. (2018). BEL Commons: an environment for exploration and analysis of networks encoded in Biological Expression Language. Database, 2018(3), 1–11.

---