Genetic variation in Glp1r expression influences the rate of gastric emptying
Ontology highlight
ABSTRACT:
ORGANISM(S): Mus musculus
PROVIDER: GSE7756 | GEO | 2008/02/13
SECONDARY ACCESSION(S): PRJNA99881
REPOSITORIES: GEO
Similar Datasets
Project description:The specific genes influencing the quantitative variation in macronutrient preference and food intake are virtually unknown. We refined a previously identified mouse chromosome 17 (MMU17) region harboring quantitative trait loci (QTL) with large effects on preferential macronutrient intake-carbohydrate (Mnic1), total kilcalories (Kcal2), and total food volume (Tfv1) using interval-specific congenic strains. These loci were isolated in the [C57BL/6J.CAST/EiJ-17.1-(D17Mit19-D17Mit50); B6.CAST-17.1] strain, developed by introgressing a ~40.1 Mb CAST MMU17 region into recipient B6 genome. In a diet selection paradigm (carbohydrate/protein vs. fat/protein), these B6.CAST-17.1 sub-congenic mice eat 30% more calories from the carbohydrate-rich diet, ~10% more total calories, and ~9% more total food volume per body weight. In the current study, this carbohydrate-preferring B6.CAST-17.1 subcongenic strain was crossed with the fat-preferring inbred B6 strain to generate a subcongenic-derived F2 mapping population; genotypes were determined using a high-density, custom SNP panel. The main outcome of this study is that genetic linkage analysis greatly reduced the 95% confidence interval (CI) for Mnic1 (encompassing Kcal2 and Tfv1) from 40.1 to 29.5 Mb and more precisely established the QTL boundaries. Specifically, the genetic architecture for Mnic1 (preferential carbohydrate intake) does not follow the same pattern as that for co-localized Kcal2/Tfv1 (total kcal and food volume, respectively), suggesting the presence of separate quantitative trait genes for these food intake traits. No genetic linkage for self-selected fat intake was detected, underscoring the carbohydrate-specific effects of this MMU17 locus. The Mnic1/Kcal2/Tfv1 QTL was further de-limited to a ~19.1 Mb interval, based on the absence of macronutrient diet selection phenotypes in subcongenic HQ17IIa mice that possess CAST MMU17 donor segment on a C57BL/6Jhg/hg background. A second key finding is the separation of two energy balance QTLs: Mnic1/Kcal2/Tfv1 for food intake and a newly discovered locus regulating short term body weight gain. The genes Decr2, Ppard and Agapt1 in the critical QTL interval were identified and prioritized using a combination of genome sequence analysis, and tag-based transcriptome sequencing to measure hypothalamic gene expression in non-recombinant F2 controls, possessing cast/cast and b6/b6 genotypes across the sub-congenic segment.
2015-05-15 | GSE60756 | GEO
Project description:The specific genes influencing the quantitative variation in macronutrient preference and food intake are virtually unknown. We refined a previously identified mouse chromosome 17 (MMU17) region harboring quantitative trait loci (QTL) with large effects on preferential macronutrient intake-carbohydrate (Mnic1), total kilcalories (Kcal2), and total food volume (Tfv1) using interval-specific congenic strains. These loci were isolated in the [C57BL/6J.CAST/EiJ-17.1-(D17Mit19-D17Mit50); B6.CAST-17.1] strain, developed by introgressing a ~40.1 Mb CAST MMU17 region into recipient B6 genome. In a diet selection paradigm (carbohydrate/protein vs. fat/protein), these B6.CAST-17.1 sub-congenic mice eat 30% more calories from the carbohydrate-rich diet, ~10% more total calories, and ~9% more total food volume per body weight. In the current study, this carbohydrate-preferring B6.CAST-17.1 subcongenic strain was crossed with the fat-preferring inbred B6 strain to generate a subcongenic-derived F2 mapping population; genotypes were determined using a high-density, custom SNP panel. The main outcome of this study is that genetic linkage analysis greatly reduced the 95% confidence interval (CI) for Mnic1 (encompassing Kcal2 and Tfv1) from 40.1 to 29.5 Mb and more precisely established the QTL boundaries. Specifically, the genetic architecture for Mnic1 (preferential carbohydrate intake) does not follow the same pattern as that for co-localized Kcal2/Tfv1 (total kcal and food volume, respectively), suggesting the presence of separate quantitative trait genes for these food intake traits. No genetic linkage for self-selected fat intake was detected, underscoring the carbohydrate-specific effects of this MMU17 locus. The Mnic1/Kcal2/Tfv1 QTL was further de-limited to a ~19.1 Mb interval, based on the absence of macronutrient diet selection phenotypes in subcongenic HQ17IIa mice that possess CAST MMU17 donor segment on a C57BL/6Jhg/hg background. A second key finding is the separation of two energy balance QTLs: Mnic1/Kcal2/Tfv1 for food intake and a newly discovered locus regulating short term body weight gain. The genes Decr2, Ppard and Agapt1 in the critical QTL interval were identified and prioritized using a combination of genome sequence analysis, and tag-based transcriptome sequencing to measure hypothalamic gene expression in non-recombinant F2 controls, possessing cast/cast and b6/b6 genotypes across the sub-congenic segment. Global gene expression profiles in the hypothalamus were compared between non-recombinant subcongenic-derived F2 mice, possessing a genotype of cast/cast (n=12) or b6/b6 (n=12) across the Chr 17 subcongenic segment and b6/b6 across the rest of the genome. RNA was isolated from individual mice of each genotype that were selected for study. Specifically, twelve mice of each genotype that displayed the most divergent phenotypic values for self-selected carbohydrate and total kcal intake were chosen for gene expression analysis, i.e., cast/cast mice with the highest and b6/b6 mice with the lowest kcal intake from carbohydrate, or the 25% tails of the distribution. Tissues were harvested ~48 h after re-initiation of the carbohydrate/protein vs. fat/protein diets, following an extended wash-out period on chow diet after completion of the 10 d macronutrient selection test.
2015-05-15 | E-GEOD-60756 | biostudies-arrayexpress
Project description:A C57BL6/J (B6) x CAST/Ei (CAST) strain intercross was used to identify the first mammalian QTL for macronutrient-specific intake (carbohydrate and fat) and for total energy intake. A region on proximal Chromosome 17 revealed two significant QTL that co-localized for increased macronutrient intake-carbohydrate (Mnic1) and total kilocalorie intake (Kcal2), adjusted for body weight. An interval-specific congenic strain, B6.CAST-17, was then developed which verified the QTL. A new sub-congenic strain was developed which retained the linked traits. Important new findings emerged shows that this congenic interval confers an activity phenotype, i.e., mice carrying the differential segment have 20% higher spontaneous physical activity levels compared with the host B6 strain. We hypothesize that this Chromosome 17 QTL is either encoded by a single gene locus that determines both food intake and physical activity, or by two or more genes, each determining a sub-phenotype of energy balance. Microarray analysis of skeletal muscle and hypothalamus in congenic and wild type B6 mice was carried out to identify potential candidate genes for the activity and food intake behavior. Keywords: macronutrient-specific intake, sub-congenic strain
2009-02-12 | GSE10517 | GEO
Project description:The goal of this experiment was to identify genes contributing to fat, carbohydrate, and total calorie intake in mice by comparing gene expression in liver and hypothalamus of an interval-specific congenic strain, B6.CAST-17, with that of the control strain. This congenic strain has previously confirmed genetic loci on Chr 17 linked to increased carbohydrate (Mnic1) and kilocalorie (Kcal2) intake. Keywords: Comparative gene expression analysis
2007-12-11 | GSE6507 | GEO
Project description:We previously utilized interval-specific congenic lines derived from C57BL/6J (B6) and DBA/2J (D2) alleles to fine map a quantitative trait locus (QTL) influencing methamphetamine (MA)- induced locomotor activity. We identified a 0.23 MB critical interval on chromosome 11 containing only two protein coding genes, Rufy1 and Hnrnph1. Notably, Rufy1 contains three missense SNPs and Hnrnph1 contains 1 SNP near the 5’ UTR. In an effort to identify the molecular mechanisms that bridge genetic variation with behavior, we conducted transcriptome analysis via mRNA sequencing (RNA-seq) in a B6.D2 congenic line (chr.11: 50-60 Mb) that captures the QTL. There was an overrepresentation of cis-regulated, differentially expressed genes within the congenic interval (4 out of 92 differentially expressed genes; FDR < 0.05) and widespread genomic regulation on all autosomes.
2015-12-11 | GSE66366 | GEO
Project description:Several studies have shown that bone mineral density (BMD), a clinically measurable predictor of osteoporotic fracture, is the sum of genetic and environmental influences. In addition, serum IGF-1 levels have been correlated to both BMD and fracture risk. We previously identified a Quantitative Trait Locus (QTL) for Bone Mineral Density (BMD) on mouse Chromosome (Chr) 6 that overlaps a QTL for serum IGF-1. The B6.C3H-6T (6T) congenic mouse is homozygous for C57BL/6J (B6) alleles across the genome except for a 30 cM region on Chr 6 that is homozygous for C3H/HeJ (C3H) alleles. This mouse was created to study biology behind both the BMD and the serum IGF-1 QTLs and to identify the gene(s) underlying these QTLs. Female 6T mice have lower BMD and lower serum IGF-1 levels at all ages measured. As the liver is the major source of serum IGF-1, we examined differential expression in the livers of fasted female B6 and 6T mice by microarray. Keywords: Genetic variation
2006-10-29 | GSE5959 | GEO
Project description:Several studies have shown that bone mineral density (BMD), a clinically measurable predictor of osteoporotic fracture, is the sum of genetic and environmental influences. In addition, serum IGF-1 levels have been correlated to both BMD and fracture risk. We previously identified a Quantitative Trait Locus (QTL) for Bone Mineral Density (BMD) on mouse Chromosome (Chr) 6 that overlaps a QTL for serum IGF-1. The B6.C3H-6T (6T) congenic mouse is homozygous for C57BL/6J (B6) alleles across the genome except for a 30 cM region on Chr 6 that is homozygous for C3H/HeJ (C3H) alleles. This mouse was created to study biology behind both the BMD and the serum IGF-1 QTLs and to identify the gene(s) underlying these QTLs. Female 6T mice have lower BMD and lower serum IGF-1 levels at all ages measured. As the liver is the major source of serum IGF-1, we examined differential expression in the livers of fasted female B6 and 6T mice by microarray. Experiment Overall Design: The experimental design of this experiment was a simple two-factor experiment, with three biological replicates of each factor (in this case mouse strain, B6.C3H-6T vs. C57BL/6J).
2007-11-13 | E-GEOD-5959 | biostudies-arrayexpress
Project description:Bone mineral density and structure candidate gene analysis in alcohol-non-preferring (NP), alcohol-preferring (P), congenic NP (NP.P) and congenic P (P.NP) rats Genetic mapping in alcohol-preferring (P) and alcohol-non-preferring (NP) rats has identified a major quantitative trait locus (QTL) in the region between q22 – q34 on chromosome (Chr) 4 for alcohol preference. In a separate genome-wide linkage study, using inbred Fischer 344 (F344) and Lewis (LEW) rats, several QTL linked to bone density and structure were identified at the same location suggesting that bone mass and strength genes might co-segregate with genes that regulate the alcohol preference trait. The aim of this study is to identify the genes segregating for skeletal phenotypes and alcohol trait in congenic P/NP rats. We compared bone mineral content (BMC), areal/volumetric bone mineral density (aBMD/vBMD) and biomechanical strength at different skeletal sites from 6-month-old inbred and congenic P/NP rats. Transfer of the NP Chr 4 QTL into P background significantly increased body weight but decreased BMC, aBMD/vBMD in whole body, cranium, femur, and lumbar vertebrae. On the other hand, transfer of P Chr 4 QTL into NP background significantly decreased body weight but increased BMC and aBMD in the same skeletal sites. Microarray analysis was performed from the femurs of 4-week-old rats (n = 5 per strain) using Affymetrix Rat Genome 230 2.0 arrays. A total of 53 genes, including 41 candidate genes and 12 predicted genes, were differentially expressed among all strains of rats with a false discovery rate (FDR) less than 10%. Several candidate genes from microarray analysis were found to be were strongly correlated (r2>0.50) with different skeletal phenotypes. Gene expression of top 3 candidate genes from microarray profiling was validated by quantitative real-time PCR (qRT-PCR). Ingenuity pathway analysis revealed relationships among the candidate genes related to bone metabolism including pathways related to beta-estradiol, tumor necrosis factor and androgen receptor. Keywords: Comparison of gene expression profiles between NP, P, NP.P and P.NP rats
2009-07-01 | GSE12066 | GEO
Project description:Bone mineral density and structure candidate gene analysis in alcohol-non-preferring (NP), alcohol-preferring (P), congenic NP (NP.P) and congenic P (P.NP) rats; Genetic mapping in alcohol-preferring (P) and alcohol-non-preferring (NP) rats has identified a major quantitative trait locus (QTL) in the region between q22 â?? q34 on chromosome (Chr) 4 for alcohol preference. In a separate genome-wide linkage study, using inbred Fischer 344 (F344) and Lewis (LEW) rats, several QTL linked to bone density and structure were identified at the same location suggesting that bone mass and strength genes might co-segregate with genes that regulate the alcohol preference trait. The aim of this study is to identify the genes segregating for skeletal phenotypes and alcohol trait in congenic P/NP rats. We compared bone mineral content (BMC), areal/volumetric bone mineral density (aBMD/vBMD) and biomechanical strength at different skeletal sites from 6-month-old inbred and congenic P/NP rats. Transfer of the NP Chr 4 QTL into P background significantly increased body weight but decreased BMC, aBMD/vBMD in whole body, cranium, femur, and lumbar vertebrae. On the other hand, transfer of P Chr 4 QTL into NP background significantly decreased body weight but increased BMC and aBMD in the same skeletal sites. Microarray analysis was performed from the femurs of 4-week-old rats (n = 5 per strain) using Affymetrix Rat Genome 230 2.0 arrays. A total of 53 genes, including 41 candidate genes and 12 predicted genes, were differentially expressed among all strains of rats with a false discovery rate (FDR) less than 10%. Several candidate genes from microarray analysis were found to be were strongly correlated (r2>0.50) with different skeletal phenotypes. Gene expression of top 3 candidate genes from microarray profiling was validated by quantitative real-time PCR (qRT-PCR). Ingenuity pathway analysis revealed relationships among the candidate genes related to bone metabolism including pathways related to beta-estradiol, tumor necrosis factor and androgen receptor. Experiment Overall Design: Comparison of differentially expressed genes between 4q22-4q34 on chromosome 4 in NP, P, NP.P and P.NP rats.
2009-07-11 | E-GEOD-12066 | biostudies-arrayexpress
Project description:Three congenic mouse strains were profiled with microarrays and were analyzed using a QTL/Microarray approach to identify candidate genes that regulate biometric phenotypes: HG2D (HG.CAST-(D2Mit329-D2Mit457)), HG11 (HG.CAST-(D11Mit260-D11Mit255, MGI reference: 3771218), and HG17 (HG.CAST-(D17Mit196-D17Mit190); MGI reference: 3771215). All these congenic strains isolate CAST/EiJ (CAST) alleles in a C57BL/6Jhg/hg (C57) background and bare the hg deletion in the high growth locus on chromosome 10. F2 animals from intercrossing congenic males and C57 control females were profiled for gene expresion on brain, liver and gonadal white fat. To detect differential expression produced by allelic effects of biometric QTLs on chromosomes 2, 11, and 17.
2010-07-30 | GSE22042 | GEO