Quantitative trait loci affecting growth in high growth (hg) mice

Corva, P. M.; Horvat, Simon; Medrano, Juan F.

doi:10.1007/s003350010275

Cited by 53 publications

(59 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Bone mineral content and morphology are among the most common phenotypes used in QTL analyses, but these have been confined to just a few strains [primarily AKR/J, C57BL/6J, CAST/EiJ, DBA/2, MRL/MpJ, SJL/J and SAMP [6,7,9,15,17,18,26,27,29,31,38,[46][47][48]. The present results provide a basis for extending these studies to other strains, including some with more extreme phenotypes than those used previously.…”

Section: Bone Mineral Density and Contentmentioning

confidence: 66%

Forty mouse strain survey of voluntary calcium intake, blood calcium, and bone mineral content

Tordoff

Bachmanov

Reed

2007

Physiology & Behavior

View full text Add to dashboard Cite

We measured voluntary calcium intake, blood calcium, and bone mineral content of male and female mice from 40 inbred strains. Calcium intakes were assessed using 48-h two-bottle tests with a choice between water and one of the following: water, 7.5, 25, and 75 mM CaCl 2 , then 7.5, 25, and 75 mM calcium lactate (CaLa). Intakes were affected by strain, sex, anion, and concentration. In 11 strains females consumed more calcium than did males and in the remaining 29 strains there were no sex differences. Nine strains drank more CaLa than CaCl 2 whereas only one strain (JF1/Ms) drank more CaCl 2 than CaLa. Some strains had consistently high calcium intakes and preferred all calcium solutions relative to water (e.g., PWK/PhJ, BTBR T + tf/J, JF1/Ms). Others had consistently low calcium intakes and avoided all calcium solutions relative to water (e.g., KK/H1J, C57BL/10J, CE/ J, C58/J). After behavioral tests, blood was sampled and assayed for pH, ionized calcium concentration, and plasma total calcium concentration. Bone mineral density and content were assessed by DEXA. There were no significant correlations between any of these physiological measures and calcium intake. However, strains of mice that had the highest calcium intakes generally fell at the extremes of the physiological distributions. We conclude that the avidity for calcium is determined by different genetic architecture and thus different physiological mechanisms in different strains. KeywordsCalcium appetite; Ionized calcium; Bone mineral density; Calcium lactate; Inbred strain; Mouse phenome Adequate calcium intake is essential for many physiological processes but the controls of calcium intake are not well understood [reviews [45,54]]. Blood ionized calcium may regulate calcium intake [30,51,54], perhaps by acting on calcium receptors in the brain [e.g., [32]]. Circulating levels of parathyroid hormone, calcitonin, and 1,25-dihydroxyvitamin D influence calcium intake [e.g., [12,30,43,51,61]] but it is unclear whether these effects are due to the direct action of the hormones on the brain or to their indirect actions on blood calcium levels. The most-studied control of calcium intake involves orosensory acceptance. Calcium deficiency lowers the behavioral and electrophysiological detection thresholds for calcium [25]. It also increases the avidity for concentrations of calcium that are disliked in the replete state: calcium deficiency increases calcium intakes in preference tests [14,25], the rate of shamingestion of calcium [34], the frequency of hedonically positive facial expressions during calcium consumption [33], and the response to oral calcium of sweet-best units in the nucleus of the solitary tract [35]. Ingestion or infusion of calcium can also condition preferences for arbitrary flavors [13,23,24,55]. Taken together, these findings argue that the oral modulation of calcium acceptance plays an important role in governing calcium consumption. Animals consume calcium solutions even when calcium is available in adequate amounts in the d...

show abstract

Section: Bone Mineral Density and Contentmentioning

confidence: 66%

Forty mouse strain survey of voluntary calcium intake, blood calcium, and bone mineral content

Tordoff

Bachmanov

Reed

2007

Physiology & Behavior

View full text Add to dashboard Cite

show abstract

“…2, 51.9 À77.9 Mbp; C10bw1, Q2Ucd1, and Mob7) were derived from independent crosses between CAST and C57BL/ 6J mice. [67][68][69][70] Thus, one might speculate that in these cases the observed phenotypic variation correlates with a certain strain-specific allele.…”

Section: Discussionmentioning

confidence: 99%

A meta-analysis of quantitative trait loci associated with body weight and adiposity in mice

et al. 2006

View full text Add to dashboard Cite

Objective: Cross-breeding experiments with different mouse strains have successfully been used by many groups to identify genetic loci that predispose for obesity. In order to provide a statistical assessment of these quantitative trait loci (QTL) as a basis for a systematic investigation of candidate genes, we have performed a meta-analysis of genome-wide linkage scans for body weight and body fat. Data: From a total of 34 published mouse cross-breeding experiments, we compiled a list of 162 non-redundant QTL for body weight and 117 QTL for fat weight and body fat percentage. Collectively, these studies include data from 42 different parental mouse strains and 414 500 individual mice. Methods: The results of the studies were analyzed using the truncated product method (TPM). Results: The analysis revealed significant evidence (logarithm of odds (LOD) score 44.3) for linkage of body weight and adiposity to 49 different segments of the mouse genome. The most prominent regions with linkage for body weight and body fat (LOD scores 14.8-21.8) on chromosomes 1, 2, 7, 11, 15, and 17 contain a total of 58 QTL for body weight and body fat. At least 34 candidate genes and genetic loci, which have been implicated in regulation of body weight and body composition in rodents and/or humans, are found in these regions, including CCAAT/enhancer-binding protein alpha (C/EBPA), sterol regulatory element-binding transcription factor 1 (SREBP-1), peroxisome proliferator activator receptor delta (PPARD), and hydroxysteroid 11-beta dehydrogenase 1 (HSD11B1). Our results demonstrate the presence of numerous distinct consensus QTL regions with highly significant LOD scores that control body weight and body composition. An interactive physical map of the QTL is available online at

show abstract

“…As Corva et al (28) pointed out, one should exercise caution in comparing linkage data from independent experiments. Comparisons of this nature are especially problematic if the data suggest regulation of a trait by multiple QTLs and the comparisons involve populations that are distantly related.…”

Section: Discussionmentioning

confidence: 99%

Identification of quantitative trait loci affecting body composition in a mouse intercross

Vitarius

Sehayek

Breslow

2006

Proc. Natl. Acad. Sci. U.S.A.

View full text Add to dashboard Cite

Gravimetric analysis and dual energy x-ray absorptiometry densitometry were used to determine lean, fat, and bone tissue traits in a F2 mouse population from a C57BL/6J and CASA/Rk intercross (B6CASAF2). These traits were used in a linkage analysis to identify quantitative trait loci that affect body composition. Linkage mapping showed that body weight (BW) loci on proximal chromosome 2 occurred in the same region as body length, lean tissue mass, and bone mineral content and on chromosome 13 in the same region as lean tissue mass, bone mineral density, and bone mineral content. Fat-related loci occurring on mid-chromosome 2 near 60 cM, proximal chromosome 6, and mid-chromosome 10 were distinct from BW, lean tissue, and bone tissue loci. In B6CASAF2 females, heterozygotes and CASA/Rk homozygotes at the chromosome 6 locus marker had higher body fat percentages, and this locus was responsible for 11% of the variance for body fat percentage. Female heterozygotes and C57BL/6J homozygotes at the chromosome 15 locus marker had higher bone mineral densities, and this locus could explain 8% of that trait's variance. A survey of the literature did not reveal any previous reports of fat-specific loci in the chromosomal 10 region near 42 cM reported in this study. The results of this study indicate that BW and BMI have limited usefulness as phenotypes in linkage or association studies when used as obesity phenotypes.body mass index ͉ bone mineral density ͉ dual energy x-ray absorptiometry ͉ lean tissue mass ͉ obesity

show abstract

Quantitative trait loci affecting growth in high growth (hg) mice

Cited by 53 publications

References 36 publications

Forty mouse strain survey of voluntary calcium intake, blood calcium, and bone mineral content

Forty mouse strain survey of voluntary calcium intake, blood calcium, and bone mineral content

A meta-analysis of quantitative trait loci associated with body weight and adiposity in mice

Identification of quantitative trait loci affecting body composition in a mouse intercross

Contact Info

Product

Resources

About