Article
Weighted single-step genomic best linear unbiased prediction integrating variants selected from sequencing data by association and bioinformatics analyses.
Genetics, selection, evolution : GSE - 14 Aug 2020
Liu Aoxing, Lund Mogens Sandø, Boichard Didier, Karaman Emre, Guldbrandtsen Bernt, Fritz Sebastien, Aamand Gert Pedersen, Nielsen Ulrik Sander, Sahana Goutam, Wang Yachun, Su Guosheng
Abstract excerpt
BACKGROUND: Sequencing data enable the detection of causal loci or single nucleotide polymorphisms (SNPs) highly linked to causal loci to improve genomic prediction. However, until now, studies on integrating such SNPs using a single-step genomic best linear unbiased prediction (ssGBLUP) model are scarce. We investigated the integration of sequencing SNPs selected by association (1262 SNPs) and bioinformatics...
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