JOURNAL ARTICLE

Additional file 1 of Multi-omics-data-assisted genomic feature markers preselection improves the accuracy of genomic prediction

Ye, ShaopanLi, JiaqiZhang, Zhe

Year: 2020 Journal:   OPAL (Open@LaTrobe) (La Trobe University)   Publisher: La Trobe University

Abstract

Additional file 1: Table S1. The bias values of genomic prediction using preselected SNPs based on GWAS results (S_GWAS). Table S2. The number of preselected SNPs based on the GWAS results (S_GWAS). Table S3. The bias values of genomic prediction using preselected SNPs based on TWAS results (S_TWAS). Table S4. The number of preselected SNPs based on the TWAS results (S_TWAS). Table S5. The bias values of genomic prediction using preselected SNPs based on the results of eQTL mapping of all genes (S_eQTL_A). S6. The number of the preselected SNPs based on the results of eQTL mapping of all genes (S_eQTL_A). Table S7. The bias values of genomic prediction using preselected SNPs based on the results of eQTL mapping of significant genes (S_eQTL_S). Table S8. The number of preselected SNPs based on the results of eQTL mapping of significant genes (S_eQTL_S). Table S9. The variance component of GBLUP using preselected SNPs based on the GWAS results (S_GWAS). Table S10. The variance component of GFBLUP using preselected SNPs based on the GWAS results. Table S11. The variance component of GBLUP using preselected SNPs based on the TWAS results (S_TWAS). Table S12. The variance component of GFBLUP using preselected SNPs based on the TWAS results (S_TWAS).

Keywords:
Single-nucleotide polymorphism Table (database) Genome-wide association study Expression quantitative trait loci Variance (accounting) Feature (linguistics)

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