Fig. 1: Strategy used to identify SDV from bovine GWAS and to assess the performance of splicing prediction programs.
From: Functional impact of splicing variants in the elaboration of complex traits in cattle
GWAS were performed on multiple agronomic traits in cattle, as described in the main text and Supplementary Data. A dataset (Var.GWAS) containing significant variants from GWAS was built up and functionally analysed to identify causal variants in the first instance. In parallel, an additional dataset (Var.P) containing arbitrarily selected variants with predictive splicing scores was used to increase the number of variants analysed by both in silico and Vex-seq methods in order to improve the performance evaluation of prediction programs.
