ABSTRACT
Selective breeding for the acute inflammatory response (AIR) generated two mouse lines characterized by maximum (AIRmax) and minimum (AIRmin) responses, explained by the additive effect of alleles differentially fixed in quantitative trait loci (QTLs). These mice also differ in their susceptibility to lung tumorigenesis, raising the possibility that the same loci are involved in the control of both phenotypes. To map the QTLs responsible for the different phenotypes, we carried out a genome-wide linkage analysis using single-nucleotide polymorphism arrays in a pedigree consisting of 802 mice, including 693 (AIRmax × AIRmin)F2 intercross mice treated with urethane and phenotyped for AIR and lung tumor multiplicity. We mapped five loci on chromosomes 4, 6, 7, 11 and 13 linked to AIR (logarithm of odds (LOD)=3.56, 3.52, 15.74, 7.74 and 3.34, respectively) and two loci linked to lung tumor multiplicity, on chromosomes 6 and 18 (LOD=12.18 and 4.69, respectively). The known pulmonary adenoma susceptibility 1 (Pas1) locus on chromosome 6 was the only locus linked to both phenotypes, suggesting that alleles of this locus were differentially fixed during breeding and selection of AIR mice. These results represent a step toward understanding the link between inflammation and cancer.
Subject(s)
Carcinogenesis/genetics , Genetic Linkage , Lung Neoplasms/genetics , Polymorphism, Single Nucleotide , Quantitative Trait Loci , Alleles , Animals , Breeding , Chromosome Mapping , Chromosomes/genetics , Inflammation/genetics , MiceABSTRACT
We tested the possibility to map loci affecting the acute inflammatory response (AIR) in an (AIRmax AIRmin) F2 intercrossmouse population derived from non-inbred parents, by association analysis in the absence of pedigree information. Using 1064 autosomal single nucleotide polymorphisms (SNPs), we clustered the intercross population into 12 groups of genetically related individuals. Association analysis adjusted for genetic clusters allowed to identify two loci, inflammatory response modulator 1 (Irm1) on chromosome 7 previously detected by genetic linkage analysis in the F2 mice, and a new locus onchromosome 5 (Irm2), linked to the number of infiltrating cells in subcutaneous inflammatory exudates (Irm1: P»6.3 10 7; Irm2: P»8.2 10 5) and interleukin 1 beta (IL-1b) production (Irm1: P»1.9 10 16; Irm2: P»1.1 10 6). Use of a polygenic model based on additive effects of the rare alleles of 15 or 18 SNPs associated at suggestive genome-wide statistical threshold(Po3.4 10 3) with the number of infiltrating cells or IL-1b production, respectively, allowed prediction of the inflammatory response of progenitor AIR mice. Our findings suggest the usefulness of association analysis in combination with genetic clustering to map loci affecting complex phenotypes in non-inbred animal species.
Subject(s)
Mice , Cluster Analysis , Heredity/genetics , Heredity/immunology , Genetic Linkage/genetics , Acute-Phase Reaction/immunology , Cytogenetic Analysis/methods , Polymorphism, Single Nucleotide/immunologyABSTRACT
We tested the possibility to map loci affecting the acute inflammatory response (AIR) in an (AIRmax × AIRmin) F2 intercross mouse population derived from non-inbred parents, by association analysis in the absence of pedigree information. Using 1064 autosomal single nucleotide polymorphisms (SNPs), we clustered the intercross population into 12 groups of genetically related individuals. Association analysis adjusted for genetic clusters allowed to identify two loci, inflammatory response modulator 1 (Irm1) on chromosome 7 previously detected by genetic linkage analysis in the F2 mice, and a new locus on chromosome 5 (Irm2), linked to the number of infiltrating cells in subcutaneous inflammatory exudates (Irm1: P=6.3 × 10(-7); Irm2: P=8.2 × 10(-5)) and interleukin 1 beta (IL-1ß) production (Irm1: P=1.9 × 10(-16); Irm2: P=1.1 × 10(-6)). Use of a polygenic model based on additive effects of the rare alleles of 15 or 18 SNPs associated at suggestive genome-wide statistical threshold (P<3.4 × 10(-3)) with the number of infiltrating cells or IL-1ß production, respectively, allowed prediction of the inflammatory response of progenitor AIR mice. Our findings suggest the usefulness of association analysis in combination with genetic clustering to map loci affecting complex phenotypes in non-inbred animal species.
Subject(s)
Genetic Association Studies , Genetic Linkage , Inflammation/genetics , Quantitative Trait Loci/genetics , Animals , Crosses, Genetic , Female , Genetic Predisposition to Disease/genetics , Genome-Wide Association Study , Inflammation/metabolism , Interleukin-1beta/immunology , Interleukin-1beta/metabolism , Male , Mice , Polymorphism, Single Nucleotide/geneticsABSTRACT
Mice obtained by bidirectional selective breeding for high (HIII) or low (LIII) antibody (Ab) production are resistant or extremely susceptible to pristane-induced arthritis (PIA), respectively. Several quantitative trait loci regulating Ab production (Ab QTL) have been mapped in these lines, which were used to investigate the influence of these Ab QTL in PIA. Parental HIII and LIII mice and their F1 and F2 intercrosses were injected twice with pristane, and arthritis was observed for 200 days. In LIII mice PIA was more severe and incidence was 100% at day 105, while F1 and F2 mice showed intermediate values. HIII mice were totally resistant. Microsatellite polymorphisms of Ab QTL were analysed and D3Mit100 alleles cosegregated significantly with PIA incidence, severity and onset in F2 intercross mice, while the other four markers showed suggestive values. Results indicate colocalization of QTL for Ab production and PIA susceptibility. Moreover, the different cytokine and IgG isotype profiles observed in HIII and LIII lines after PIA induction are useful to candidate genes endowed with the regulation of the Ab production and arthritis phenotypes.