CartilageGeneticsPeer-reviewed journal article
Assessment of DNA methylation patterns in the bone and cartilage of a nonhuman primate model of osteoarthritis
Genevieve HousmaniD, Lorena M. Havill, Ellen E. QuilleniD, Anthony Gean ComuzzieiD, Anne C. StoneiD
Abstract
ObjectiveOsteoarthritis (OA) impacts humans and several other animals. Thus, the mechanisms underlying this disorder, such as specific skeletal tissue DNA methylation patterns, may be evolutionary conserved. However, associations between methylation and OA have not been readily studied in nonhuman animals. Baboons serve as important models of disease and develop OA at rates similar to those in humans. Therefore, this study investigated the associations between methylation and OA in baboons to advance the evolutionary understanding of OA.\n\nDesignTrabecular bone and cartilage was collected from the medial condyles of adult female baboon femora, five with and five without knee OA. The Infinium HumanMethylation450 BeadChip (450K array) was used to identify DNA methylation patterns in these tissues.\n\nResultsApproximately 44% of the 450K array probes reliably align to the baboon genome, contain a CpG site of interest, and maintain a wide distribution throughout the genome. Of the two filtering methods tested, both identified significantly differentially methylated positions (DMPs) between healthy and OA individuals in cartilage tissues, and some of these patterns overlap with those previously identified in humans. Conversely, no DMPs were found between tissue types or between disease states in bone tissues.\n\nConclusionsOverall, the 450K array can be used to measure genome-wide DNA methylation in baboon tissues and identify significant associations with complex traits. The results of this study indicate that some DNA methylation patterns associated with OA are evolutionarily conserved, while others are not. This warrants further investigation in a larger and more phylogenetically diverse sample set.
- organism: non-human primate
- assay: DNA methylation
- research focus: differential expression
- approach: statistical model
- Citations
- 22
- FWCI
- 2.55
- Field percentile
- top 11%
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