作者: Karen M. Vernau , Catrina Fronick , Christopher R. Helps , John S. Munday , Wesley C. Warren
DOI: 10.1038/S41598-021-86200-7
关键词: Exome 、 Gene 、 Biology 、 Genome 、 Deep sequencing 、 Exome sequencing 、 Whole genome sequencing 、 Allele 、 Sequence assembly 、 Computational biology
摘要: Over 94 million domestic cats are susceptible to cancers and other common rare diseases. Whole exome sequencing (WES) is a proven strategy study these disease-causing variants. Presented 35.7 Mb capture design based on the annotated Felis_catus_9.0 genome assembly, covering 201,683 regions of cat genome. was conducted 41 with known unknown genetic diseases traits, which ten had matching whole sequence (WGS) data available, used validate WES performance. At 80 × mean depth coverage, 96.4% on-target base coverage > 20-fold, while over 98% single nucleotide variants (SNVs) identified by WGS were also WES. Platform-specific SNVs restricted sex chromosomes small number olfactory receptor genes. Within cats, we 31 previously causal discovered new gene candidate variants, including novel missense variance for polycystic kidney disease atrichia in Peterbald cat. These results show utility identify alleles traits first time feline model.