Quantitative trait loci for steady-state platelet count in mice

Cheun, Carol C., Martin, Ian C.A., Zenger, Kyall R., Donald, Jenny A., Thomson, Peter C., Moran, Christopher, and Buckley, Michael F. (2004) Quantitative trait loci for steady-state platelet count in mice. Mammalian Genome, 15 (10). pp. 784-797.

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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.

Item ID: 9779
Item Type: Article (Research - C1)
ISSN: 1432-1777
Keywords: QTL, platelet count, blood diseases, quantitative genetics and genomics
Date Deposited: 15 Apr 2010 00:32
FoR Codes: 06 BIOLOGICAL SCIENCES > 0604 Genetics > 060408 Genomics @ 40%
06 BIOLOGICAL SCIENCES > 0604 Genetics > 060412 Quantitative Genetics (incl Disease and Trait Mapping Genetics) @ 60%
SEO Codes: 97 EXPANDING KNOWLEDGE > 970106 Expanding Knowledge in the Biological Sciences @ 50%
92 HEALTH > 9201 Clinical Health (Organs, Diseases and Abnormal Conditions) > 920199 Clinical Health (Organs, Diseases and Abnormal Conditions) not elsewhere classified @ 50%
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