ArticleMammalian genome : official journal of the International Mammalian Genome Society2006
Quantitative trait locus analysis for obesity reveals multiple networks of interacting loci.
Article in Mammalian genome : official journal of the International Mammalian Genome Society, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 1 of them a synthesis that pooled it.
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
44 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Independent evolution toward larger body size in the distinctive Faroe Island mice.G3 (Bethesda, Md.) · 2021Pooled it
- Genetic connection of carotid atherosclerosis with coat color and body weight in an intercross between hyperlipidemic mouse strains.Physiological genomics · 2022Article
- Thirty Mouse Strain Survey of Voluntary Physical Activity and Energy Expenditure: Influence of Strain, Sex and Day-Night Variation.Frontiers in neuroscience · 2020Article
- Panx3 links body mass index and tumorigenesis in a genetically heterogeneous mouse model of carcinogen-induced cancer.Genome medicine · 2016Article
- Epistatic partners of neurogenic genes modulate Drosophila olfactory behavior.Genes, brain, and behavior · 2016Article
- Epistasis and quantitative traits: using model organisms to study gene-gene interactions.Nature reviews. Genetics · 2014Review
- Article
- QTL analysis of dietary obesity in C57BL/6byj X 129P3/J F2 mice: diet- and sex-dependent effects.PloS one · 2013Article
- Genetic regulation of life span, metabolism, and body weight in Pohn, a new wild-derived mouse strain.The journals of gerontology. Series A, Biological sciences and medical sciences · 2013Article
- Identification of exercise capacity QTL using association mapping in inbred mice.Physiological genomics · 2012Article
- Subcongenic analysis of tabw2 obesity QTL on mouse chromosome 6.BMC genetics · 2012Article
- Obesity-insulin targeted genes in the 3p26-25 region in human studies and LG/J and SM/J mice.Metabolism: clinical and experimental · 2012Article
- Understanding the sexome: measuring and reporting sex differences in gene systems.Endocrinology · 2012Review
- Genetic basis of atherosclerosis: insights from mice and humans.Circulation research · 2012Review
- Murine gut microbiota is defined by host genetics and modulates variation of metabolic traits.PloS one · 2012Article
- Article
- Mapping QTL main and interaction influences on milling quality in elite US rice germplasm.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2011Article
- Sex-, diet-, and cancer-dependent epistatic effects on complex traits in mice.Frontiers in genetics · 2011Article
- QTL Analysis of Type I and Type IIA Fibers in Soleus Muscle in a Cross between LG/J and SM/J Mouse Strains.Frontiers in genetics · 2011Article
- Genetic analysis of abdominal fat distribution in SM/J and A/J mice.Journal of lipid research · 2010Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Obesity is a highly heritable and genetically complex trait with hundreds of potential loci identified. An intercross of 513 F2 progeny between the SM/J x NZB/BINJ inbred mouse strains was generated to identify quantitative trait loci (QTL) that are involved in the weight of four fat pads: mesenteric, inguinal, gonadal, and retroperitoneal. Sex and lean body weight were treated as covariates in the analysis of these fat pads. This analysis uncoupled genetic effects related to overall body size from those influencing the adiposity of a mouse. We identified multiple significant QTL. QTL alleles associated with increased lean body weight and individual fat pad weights are contributed by the NZB background. Adiposity loci are distinct from these body size QTLs and high-adiposity alleles are contributed by the SM background. An extended network of epistatic QTL is also observed. A QTL on Chr 19 is the center of a network of eight interacting QTL, Chr 4 is the center of six, and Chr 17 the center of four interacting QTL. We conclude that interacting networks of multiple genes characterize the regulation of fat pad depots and body weight. Haplotype patterns and a literature-driven approach were used to generate hypotheses regarding the identity of the genes and pathways underlying the QTL.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.