Rapid-throughput skeletal phenotyping of 100 knockout mice identifies 9 new genes that determine bone strength.
Osteoporosis is a common polygenic disease and global healthcare priority but its genetic basis remains largely unknown. We report a high-throughput multi-parameter phenotype screen to identify functionally significant skeletal phenotypes in mice generated by the Wellcome Trust Sanger Institute Mouse Genetics Project and discover novel genes that may be involved in the pathogenesis of osteoporosis. The integrated use of primary phenotype data with quantitative x-ray microradiography, micro-computed tomography, statistical approaches and biomechanical testing in 100 micro-computed tomography, statistical approaches and biomechanical testing in 100 unselected knockout mouse strains identified nine new genetic determinants of bone mass and strength. These nine new genes include five whose deletion results in low bone mass and four whose deletion results in high bone mass. None of the nine genes have been implicated previously in skeletal disorders and detailed analysis of the biomechanical consequences of their deletion revealed a novel functional classification of bone structure and strength. The organ-specific and disease-focused strategy described in this study can be applied to any biological system or tractable polygenic disease, thus providing a general basis to define gene function in a systemspecific manner. Application of the approach to diseases affecting other physiological systems will help to realize the full potential of the International Mouse Phenotyping Consortium.
|Authors||Bassett, J.H.D.; Gogakos, A.; White, J.K.; Evans, H.; Jacques, R.M.; Van der Spek, A.H.; Sanger Mouse Genetics Project; Ramirez-Solis, R.; Ryder, E.; Sunter, D.; Boyde, A.; Campbell, M.J.; Croucher, P.I.; Williams, G.R.|
|Publisher Name||PLOS GENET|
|URL link to publisher's version||http://www.ncbi.nlm.nih.gov/pubmed/22876197|
|OpenAccess link to author's accepted manuscript version||https://publications.gimr.garvan.org.au/open-access/11396|