No abstract

BackgroundTransmission ratio distortion (TRD), defined as statistically significant deviation from expected 1:1 Mendelian ratios of allele inheritance, results in a reduction of the expected progeny of a given genotype. Since TRD is a common occurrence within interspecific crosses, a mouse interspecific backcross was used to genetically map regions showing TRD, and a developmental analysis was performed to identify the timing of allele loss.ResultsThree independent events of statistically significant deviation from the expected 50:50 Mendelian inheritance ratios were observed in an interspecific backcross between the Mus musculus A/J and the Mus spretus SPRET/EiJ inbred strains. At weaning M. musculus alleles are preferentially inherited on Chromosome (Chr) 7, while M. spretus alleles are preferentially inherited on Chrs 10 and 11. Furthermore, alleles on Chr 3 modify the TRD on Chr 11. All TRD loci detected at weaning were present in Mendelian ratios at mid-gestation and at birth.ConclusionsGiven that Mendelian ratios of inheritance are observed for Chr 7, 10 and 11 during development and at birth, the underlying causes for the interspecific TRD events are the differential post-natal survival of pups with specific genotypes. These results are consistent with the TRD mechanism being deviation from Mendelian inheritance rather than meiotic drive or segregation distortion.

The gastrointestinal epithelia of mammals are tolerant of their resident gut microbiota but are usually highly responsive to entero-pathogens; the host-specific responses have not been well characterized. To this end, the transcriptional responses of cultured human (Caco-2) and murine (CT-26) colonic epithelial cells were compared after exposure with the microfloral bacterium Lactobacillus reuteri or the human gastrointestinal pathogen Campylobacter jejuni. When in bacterial broth, both species elicit a stronger differential gene expression response in human colonic cells compared with mouse colonic cells. However, when these data are adjusted to remove bacterial broth effects, only human colonic epithelia exposed to C. jejuni show altered gene expression, suggesting that the human pathogen C. jejuni induces a host-specific response. The genes with altered expression are involved in growth, transcription, and steroid biosynthesis. Interestingly, human genes involved in cell polarity and water transport were significantly changed in response to C. jejuni exposure, linking infection with gastrointestinal disease. This study demonstrates that mouse and human colonic epithelia remain relatively unresponsive to commensal bacterial challenge, while the human pathogen C. jejuni elicits a host-specific response.

A Bayesian methodology has been developed for multiple quantitative trait loci (QTL) mapping of complex binary traits that follow liability threshold models. Unlike most QTL mapping methods where only one or a few markers are used at a time, the proposed method utilizes all markers across the genome simultaneously. The outperformance of our Bayesian method over the traditional single-marker analysis and interval mapping has been illustrated via simulations and real data analysis to identify candidate loci associated with colorectal cancer. T REMENDOUS advances have been achieved over the last decade in the identification of genes underlying many heritable traits with the greatest progress limited almost entirely to those with Mendelian inheritance patterns and well-defined quantitative traits that have relatively large and consistent effects. However, many common pathologies afflicting the greatest number of individuals are not due to simple Mendelian traits. Recent emphasis has been shifted to map complex traits, which are caused by the sum of a complex interaction between gene products and environmental stimuli. Complicating the analysis of these types of traits is the prediction that many are also controlled by genes that have small effects individually, but whose cumulative action is the cause of significant interindividual variation. Due to the complex and often subtle nature of phenotypic variation, traits with complex etiologies have proven far more resistant to genetic analysis. Most of the available quantitative trait loci (QTL) mapping methods map only one or a few QTL at a time and therefore are not efficient for mapping such complex traits. Forward and stepwise selection procedures have been proposed in searching for multiple QTL. Though simple, these methods have their limitations, such as the uncertainty of number of QTL, the sequential model building that makes it unclear how to assess the significance of the associated tests, etc.

Colorectal cancer (CRC) has a complex etiology resulting from the combination of multiple genetic and environmental factors, each with small effects. Interactions among susceptibility modifier loci make many of the loci difficult to detect in human genome-wide association studies. Previous analyses in mice have used classical inbred strains, which share large portions of their genomes due to common ancestry. Herein, we used an interspecific backcross between the Mus musculus strain A/J and the Mus spretus strain SPRET/EiJ to map 6 additional CRC modifier loci (Scc16-21) and 2 suggestive loci. Three loci modify the location of tumors along the proximal-distal axis of the colon. Six CRC modifiers previously mapped in intraspecific crosses were also replicated. This work confirms genetic models suggesting that CRC is caused by many small effect alleles and brings the catalog of reported CRC modifier loci to 23 spread across 13 chromosomes. Furthermore, this work provides the foundation for large population-level epistatic interaction tests to identify combinations of low effect alleles that may have large effects on CRC susceptibility.