ArticleInternational journal of obesity (2005)2008
Candidate genes for obesity revealed from a C57BL/6J x 129S1/SvImJ intercross.
Article in International journal of obesity (2005), 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed, 32 citations in OpenAlex.
- Sexually Dimorphic Effects of CYP2B6 in the Development of Fasting-Mediated Steatosis in Mice: Role of the Oxylipin Products 9-HODE and 9-HOTrE.Biomedicines · 2025Article
- Genetic variation is a key determinant of chromatin accessibility and drives differences in the regulatory landscape of C57BL/6J and 129S1/SvImJ mice.Nucleic acids research · 2024Article
- Differential Strain-dependent Ovarian and Metabolic Responses in a Mouse Model of PCOS.Endocrinology · 2023Article
- Perinatal exposure to tetracycline contributes to lasting developmental effects on offspring.Animal microbiome · 2021Article
- Container-aided integrative QTL and RNA-seq analysis of Collaborative Cross mice supports distinct sex-oriented molecular modes of response in obesity.BMC genomics · 2020Article
- A Natural mtDNA Polymorphism in Complex III Is a Modifier of Healthspan in Mice.International journal of molecular sciences · 2019Article
- Regulation of hepatic gluconeogenesis by nuclear factor Y transcription factor in mice.The Journal of biological chemistry · 2018Article
- Targeting PPARγ in the epigenome rescues genetic metabolic defects in mice.The Journal of clinical investigation · 2017Article
- Novel genes on rat chromosome 10 are linked to body fat mass, preadipocyte number and adipocyte size.International journal of obesity (2005) · 2016Article
- Article
- Body Composition QTLs Identified in Intercross Populations Are Reproducible in Consomic Mouse Strains.PloS one · 2015Article
- Linking cellular zinc status to body weight and fat mass: mapping quantitative trait loci in Znt7 knockout mice.Mammalian genome : official journal of the International Mammalian Genome Society · 2014Article
- QTL analysis of dietary obesity in C57BL/6byj X 129P3/J F2 mice: diet- and sex-dependent effects.PloS one · 2013Article
- Review
- The mouse QTL map helps interpret human genome-wide association studies for HDL cholesterol.Journal of lipid research · 2011Article
- Article
- Assessment of feeding behavior in laboratory mice.Cell metabolism · 2010Article
- Fine-mapping of obesity-related quantitative trait loci in an F9/10 advanced intercross line.Obesity (Silver Spring, Md.) · 2010Article
- Altered body mass regulation in male mPeriod mutant mice on high-fat diet.Chronobiology international · 2010Article
- The genetics of obesity and the metabolic syndrome.Endocrine, metabolic & immune disorders drug targets · 2010Review
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
objectiveTo identify the genes controlling body fat, we carried out a quantitative trait locus (QTL) analysis using C57BL/6J (B6) and 129S1/SvImJ (129) mice, which differ in obesity susceptibility after consuming an atherogenic diet.
methodsMice were fed chow until 8 weeks and an atherogenic diet from 8 to 16 weeks; body fatness was measured by X-ray absorptiometry in 528 (B6 x 129) F(2) at 8 and 16 weeks. A high-density genome scan was performed using 508 polymorphic markers. After identifying the genetic loci, we narrowed the QTL using comparative genomics and bioinformatics.
resultsThe percentage of body fat was significantly linked to loci on chromosomes (Chr) 1 (22, 68 and 173 Mb), 4 (74 Mb), 5 (73 Mb), 7 (88 Mb), 8 (43 and 80 Mb), 9 (55 Mb), 11 (115 Mb) and 12 (32 Mb); three suggestive loci on Chrs 6 (76 Mb), 9 (30 Mb) and 16 (26 Mb) and two pairs of interacting loci (Chr 2 at 99.8 Mb with Chr 7; Chr 1 at 68 Mb with Chr 11). Comparative genomics narrowed the QTL intervals by 20-57% depending on the chromosome; in most cases, haplotype analysis further narrowed them by about 90%.
conclusionsOur analysis identified 15 QTL for percentage of body fat. We narrowed the QTL using comparative genomics and haplotype analysis and suggest several candidate genes: Apcs on Chr 1, Ppargc1a on Chr 5, Ucp1 on Chr 8, Angptl6 on Chr 9 and Lpin1 on Chr 12.
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