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Publication : Genome-Wide Exome Analysis of <i>Cmv5</i>-Disparate Mouse Strains that Differ in Host Resistance to Murine Cytomegalovirus Infection.

First Author  Gillespie A Year  2017
Journal  G3 (Bethesda) Volume  7
Issue  6 Pages  1979-1984
PubMed ID  28450376 Mgi Jnum  J:251745
Mgi Id  MGI:6102781 Doi  10.1534/g3.117.042531
Citation  Gillespie A, et al. (2017) Genome-Wide Exome Analysis of Cmv5-Disparate Mouse Strains that Differ in Host Resistance to Murine Cytomegalovirus Infection. G3 (Bethesda) 7(6):1979-1984
abstractText  Host resistance to murine cytomegalovirus (MCMV) varies in different strains of laboratory mice due to differences in expression of determinants that control and clear viral infection. The major histocompatibility complex class I D(k) molecule is one such determinant that controls MCMV through the action of natural killer (NK) cells. However, the extent of NK cell-mediated D(k)-dependent resistance to infection varies in different mouse strains. The molecular genetic basis of this variation remains unclear. Previous work to examine the D(k) effect on MCMV resistance in MA/My x C57L offspring discovered multiple quantitative trait loci (QTL) that may serve to modify NK cells or their capacity to respond during MCMV infection. One QTL in particular, Cmv5, was found to regulate the frequency of NK cells and secondary lymphoid organ structure in spleen during MCMV infection. Cmv5 alleles, however, have not been identified. We therefore sequenced and analyzed genome-wide exome (GWE) variants, including those aligned to the critical genetic interval, in Cmv5-disparate mouse strains. Their GWE variant profiles were compared to assess strain-specific sequence data integrity and to analyze mouse strain relatedness across the genome. GWE content was further compared against data from the Mouse Genomes Project. This approach was developed as a platform for using GWE variants to define genomic regions of divergence and similarity in different mouse strains while also validating the overall quality of GWE sequence data. Moreover, the analysis provides a framework for the selection of novel QTL candidate sequences, including at the Cmv5 critical region.
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