Massively parallel sequencing of the mouse exome to accurately identify rare, induced mutations: an immediate source for thousands of new mouse models
Andrews, Thomas Daniel; Whittle, Belinda; Field, Matthew; Balakishnan, Bhavani; Zhang, Yafei; Shao, Yunlin (Lilly); Cho, Eun; Kirk, Michael; Singh, Mandeep; Xia, Yu; Hager, J; Winslade, Stephen; Sjollema, Geoffrey; Beutler, B; Enders, Anselm; Goodnow, Christopher
Accurate identification of sparse heterozygous single-nucleotide variants (SNVs) is a critical challenge for identifying the causative mutations in mouse genetic screens, human genetic diseases and cancer. When seeking to identify causal DNA variants that occur at such low rates, they are overwhelmed by falsepositive calls that arise from a range of technical and biological sources. We describe a strategy using whole-exome capture, massively parallel DNA sequencing and computational analysis,...[Show more]
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