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Quantitative trait loci for steady-state platelet count in mice
Authors:Carol?C?Cheung  Ian?CA?Martin  Kyall?R?Zenger  Jenny?A?Donald  Peter?C?Thomson  Christopher?Moran  Email author" target="_blank">Michael?F?BuckleyEmail author
Institution:(1) Centre for Vascular Research, University of New South Wales, Kensington 2052, Sydney, Australia;(2) Molecular & Cytogenetics Unit, Department of Haematology, South Eastern Area Laboratory Services, Prince of Wales Hospital, High Street, Randwick 2031, Sydney, Australia;(3) Centre for Advanced Technologies in Animal Genetics and Reproduction, University of Sydney, 2006, Sydney, Australia;(4) Department of Biological Sciences, Macquarie University, North Ryde 2109, Sydney, Australia
Abstract:Platelet count in humans is a strongly genetically regulated trait, with approximately 85% of the interindividual variance in platelet numbers attributable to genetic factors. Inbred mouse strains also have strain-specific platelet count ranges. As part of a project to identify novel factors that regulate platelet count, we identified two inbred mouse strains, CBA/CaH and QSi5, with substantial differences in platelet count (mean values of 581 vs. 1062 × 109/L). An F2 intercross resource of 1126 animals was bred from these two parental strains for a genomewide scan for quantitative trait loci (QTL) for platelet count. QTL were identified on MMU1 (LOD 6.8, p < 0.0005) and MMU11 (LOD 11.2, p < 0.0005) by selectively genotyping animals from the extremes of the F2 platelet count distribution. Three other QTL of suggestive statistical significance were also detected on MMU7, 13, and 17. It is noteworthy that no QTL were detected in the vicinity of the genes encoding thrombopoietin (Thpo), and its receptor (c-Mpl), both known to influence platelet production. Comparison of gene expression levels between the parental mouse strains by microarrays also showed little difference in the mRNA levels of these known candidate genes. These results represent the first published use of a genetic linkage-based approach in a mouse model toward the identification of genetic factors that regulate platelet count.
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