| First Author | Christians JK | Year | 2007 |
| Journal | Mamm Genome | Volume | 18 |
| Issue | 4 | Pages | 240-5 |
| PubMed ID | 17541685 | Mgi Jnum | J:121980 |
| Mgi Id | MGI:3712722 | Doi | 10.1007/s00335-007-9018-4 |
| Citation | Christians JK, et al. (2007) Fine mapping dissects pleiotropic growth quantitative trait locus into linked loci. Mamm Genome 18(4):240-5 |
| abstractText | A recurring issue in studies of quantitative trait loci (QTLs) is whether QTLs that appear to have pleiotropic effects are indeed caused by pleiotropy at single loci or by linked QTLs. Previous work identified a QTL that affected tail length in mice and the lengths of various bones, including the humerus, ulna, femur, tibia, and mandible. The effect of this QTL on tail length has since been found to be due to multiple linked QTLs and so its apparently pleiotropic effects may have been due to linked QTLs with distinct effects. In the present study we examined a line of mice segregating only for a 0.94-Mb chromosomal region known to contain a subset of the QTLs influencing tail length. We measured a number of skeletal dimensions, including the lengths of the skull, mandible, humerus, ulna, femur, tibia, calcaneus, metatarsus, and a tail bone. The QTL region was found to have effects on the size of the mandible and length of the tail bone, with little or no effect on the other traits. Using a randomization approach, we rejected the null hypothesis that the QTL affected all traits equally, thereby demonstrating that the pleiotropic effects reported earlier were due to linked loci with distinct effects. This result underlines the possibility that seemingly pleiotropic effects of QTLs may frequently be due to linked loci and that high-resolution mapping will often be required to distinguish between pleiotropy and linkage. |
