ArticleGenetica2009
Mapping of the chromosome 17 BMD QTL in the F(2) male mice of MRL/MpJ x SJL/J.
Article in Genetica, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed.
- Fine mapping of dental fluorosis quantitative trait loci in mice.European journal of oral sciences · 2011Article
- A new mapping method for quantitative trait loci of silkworm.BMC genetics · 2011Article
- Replication of long-bone length QTL in the F9-F10 LG,SM advanced intercross.Mammalian genome : official journal of the International Mammalian Genome Society · 2009Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Developing treatment strategies for osteoporosis would be facilitated by identifying genes regulating bone mineral density (BMD). One way to do so is through quantitative trait locus (QTL) mapping. However, there are sex differences in terms of the presence/absence and locations of BMD QTLs. In a previous study, our group identified a BMD QTL on chromosome 17 in the F(2) female mice of the MRL/MpJ x SJL/J cross. Here, we determined whether it was also present in the male mice of the same cross. Furthermore, we also intended to reduce the QTL region by increasing marker density. Interval mapping showed that the same QTL based on chromosomal positions was present in the male mice, with logarithmic odds (LOD) scores of 4.0 for femur BMD and 5.2 for total body BMD. Although there was a body weight QTL at the same location, the BMD QTL was not affected by the adjustment for body weight. Mapping with increased marker density indicated a most likely region of 35-55 Mb for this QTL. There were also co-localized QTLs for femur length, femur periosteal circumference (PC) and total body bone area, suggesting possibility of pleiotropy. Runx2 and VEGFA are strong candidate genes located within this QTL region.
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Registered trials
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