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资源简介：
Artificial selection of the Ral-GTPases enhancing Actin-based Mortality in Racing Horse
应用场景：
创建时间：
2018-08-01
相关数据集
Additional file 3 of A genome-wide SNP-association study confirms a sequence variant (g.66493737C>T) in the equine myostatin (MSTN) gene as the most powerful predictor of optimum racing distance for Thoroughbred racehorses
Additional file 3: Sequence and structural variation in the coding, intronic and flanking sequences of the equine MSTN gene. Sequences are provided for the + strand. (XLS 24 KB)
NIAID Data Ecosystem90
Selected genomic regions among top 1% SNPs identifying core genes targeted by selection for the Australian racing phenotype (top 3 regions only).
Selected genomic regions among top 1% SNPs identifying core genes targeted by selection for the Australian racing phenotype (top 3 regions only).
NIAID Data Ecosystem30
Case-control association test results for a series of cohort comparisons for g.66493737C>T.
TBE: elite Group race winning Thoroughbreds; TBO: other non-winning Thoroughbreds; TBE>8 f, TBE≤8 f and TBE≤7 f: elite Group race winning Thoroughbreds that won their best (most valuable or highest gr
NIAID Data Ecosystem20
Genetic variation associated with racing phenotype in horse
We identify genes contributing to exercise adaptation in racehorses by applying genomics approaches for racing performance.Variation in these genes may be exploited for genetic improvement of horse po
NIAID Data Ecosystem70
Additional file 2 of A genome-wide SNP-association study confirms a sequence variant (g.66493737C>T) in the equine myostatin (MSTN) gene as the most powerful predictor of optimum racing distance for Thoroughbred racehorses
Additional file 2: PCR and sequencing primers for re-sequencing MSTN flanking regions. Primers were designed to cover ~2 kb of the 3' UTR and ~2 kb of the 5' UTR of the MSTN gene. (XLS 19 KB)
Figshare2021-04-16 更新30
