ICGRM: integrative construction of genomic relationship matrix combining multiple genomic regions for big dataset

• Published in: BMC bioinformatics Vol. 20; no. 1; pp. 731 - 5
• Main Authors: Jiang, Dan, Xin, Cong, Ye, Jinhua, Yuan, Yingbo, Fang, Ming
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 26.12.2019; BioMed Central; BMC
• Subjects: Accuracy; Algorithms; Animal diseases; Animals; Breeding of animals; Computer memory; Computer simulation; Dairy cattle; Datasets; Gblup; Genome-Wide Association Study - methods; Genomes; Genomic relationship matrix; Genomic selection; Genomics; Genomics - methods; Humans; Mathematical analysis; Random access memory; Servers; Single-nucleotide polymorphism; Software; Statistical analysis; Statistics; Genomic selection; Gblup; Genomic relationship matrix

Genomic prediction is an advanced method for estimating genetic values, which has been widely accepted for genetic evaluation in animal and disease-risk prediction in human. It estimates genetic values with genome-wide distributed SNPs instead of pedigree. The key step of it is to construct genomic...