Article
Loci on chromosomes 2, 4, 9, and 16 for body weight, body length, and adiposity identified in a genome scan of an F2 intercross between the 129P3/J and C57BL/6ByJ mouse strains.
Monell Chemical Senses Center, 3500 Market Street, Philadelphia, Pennsylvania 19104, USA.
Mammalian Genome (impact factor:
2.89).
06/2003;
14(5):302-13.
pp.302-13
Source: PubMed
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Article: Voluntary ethanol consumption by mice: genome-wide analysis of quantitative trait loci and their interactions in a C57BL/6ByJ x 129P3/J F2 intercross.
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ABSTRACT: Consumption of ethanol solutions by rodents in two-bottle choice tests is a model to study human alcohol intake. Mice of the C57BL/6ByJ strain have higher ethanol preferences and intakes than do mice of the 129P3/J strain. F2 hybrids between these two strains were phenotyped using two-bottle tests involving a choice between water and either 3% or 10% ethanol. High ethanol preferences and intakes of the B6 mice were inherited as additive or dominant traits in the F2 generation. A genome screen using these F2 mice identified three significant linkages. Two loci, on distal chromosome 4 (Ap3q) and proximal chromosome 7 (Ap7q), strongly affected 10% ethanol intake and weakly affected 3% ethanol intake. A male-specific locus on proximal chromosome 8 (Ap8q) affected 3% ethanol preference, but not indexes of 10% ethanol consumption. In addition, six suggestive linkages (on chromosomes 2, 9, 12, 13, 17, and 18) affecting indexes of 3% and/or 10% ethanol consumption were detected. The loci with significant and suggestive linkages accounted for 35-44% of the genetic variation in ethanol consumption phenotypes. No additive-by-additive epistatic interactions were detected for the primary loci with significant and suggestive linkages. However, there were a few modifiers of the primary linkages and a number of interactions among unlinked loci. This demonstrates a significant role of the genetic background in the variation of ethanol consumption.Genome Research 09/2002; 12(8):1257-68. · 13.61 Impact Factor -
Article: Using mouse models to dissect the genetics of obesity.
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ABSTRACT: Mice have proved to be powerful models for understanding obesity in humans and farm animals. Single-gene mutants and genetically modified mice have been used successfully to discover genes and pathways that can regulate body weight. For polygenic obesity, the most common pattern of inheritance, many quantitative trait loci (QTLs) have been mapped in crosses between selected and inbred mouse lines. Most QTL effects are additive, and diet, age and gender modify the genetic effects. Congenic, recombinant inbred, advanced intercross, and chromosome substitution strains are needed to map QTLs finely, to identify the genes underlying the traits, and to examine interactions between them.Trends in Genetics 08/2002; 18(7):367-76. · 10.06 Impact Factor -
Article: Detection of QTL for body weight and body fat content in mice using genetic markers
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ABSTRACT: The aim of the project was the identification of quantitative trait loci (QTL) for body weight and body fat content. Using selected (Du6, Du6P) and randomly mated (DuKs) mouse lines with differences in body weight and abdominal fat content up to 100%, the study was carried out in three steps: (1) Line specific alleles were detected for DNA fingerprint banding patterns and equally spaced microsatellite markers. (2) Linkage analysis was performed in informative families generated by crosses between the lines to prove if the line specific allele distribution at single loci is the result of the selection process. The Maximum Likelihood test statistic (MLS) provided evidence for a QTL effecting growth on chromosome 11 (MLS = 7.6). A QTL responsible for abdominal fat content may be suggested on chromosome 3 (MLS = 2.7). (3) Expression analysis of the putative candidate genes Gh and Ap2 in the chromosomal regions with effect on the trait differentiation revealed no differences between the lines. Differences in the tissue specific gene expression levels between the lines were detected for the Gpd and the Igfl-genes.ZusammenfassungNachweis von QTL für Körpermasse und Fettansatz in Mäusen unter Verwendung von genetischen MarkernMit den Untersuchungen wurde das Ziel verfolgt, quantitative Merkmalsorte (QTL) für den Merkmalskomplex Körpergewicht und Fettansatz zu identifizieren. Unter Verwendung von selektierten (Du6, Du6P) und zufallsgepaarten (DuKs) Mauslinien, die sich in der Körpermasse und im Fettansatz bis zu 100% unterschieden, wurde die Studie in drei Schritten durchgeführt: (1) Mittels DNA Fingerprinting und Microsatellitenmarkern wurden im gesamten Genom Loci mit linientypischer Allelverteilung identifiziert. (2) In Kopplungsanalysen innerhalb informativer Familien aus Kreuzungen zwischen den Linien wurde getestet, ob die linientypischen Allele auf die Selektion zurückzuführen sind. Auf dem Chromosom 11 wurde ein QTL für Körpermasse (MLS = 7.6) und auf dem Chromosom 3 mit hoher Wahrscheinlichkeit ein QTL für Fettansatz (MLS = 2.7) identifiziert. (3) Die Analyse des Gh- und Ap2 Genes als putative Kandidatengene in den identifizierten Chromosomenregionen mit Effekt auf die Merkmalsausprägung zeigte keine Unterschiede. Gewebespezifische Unterschiede in der Genexpression wurden zwischen den Linien im Gpd- und Igf1-Gen nachgewiesen.Journal of Animal Breeding and Genetics 01/1996; 113(1‐6):373 - 379. · 1.46 Impact Factor
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Keywords
288 additional F2 mice
body size
body weight
Chr 2
complex trait
F2 mice
first phase
Genetic loci
inbred mouse strains 129P3/J
Linkages
next step
obesity genes
powerful model organism
second phase
Significant linkages
Single gene mutants
suggestive linkages
suggestive sex-dependent linkages
two-phase process
understanding obesity