Introduction of Statistical Models for GWAS and GS

Table of Contents: 00:00 - Video 1: Introduction of statistical models used for GWAS and GS 00:44 - Genome-wide association study (GWAS) 02:24 - Genomic selection (GS) 07:16 - Statistical model used to obtain best linear unbiased predictions (BLUPs) 09:10 - Statistical model used to obtain best linear unbiased estimators (BLUEs) 10:24 - Genetic diversity can lead to false positives in a GWAS 13:01 - Mixed models reduce false positives in GWAS 13:51 - Basic GS statistical model 14:38 - Issues with n << p 15:22 - Ridge regression best linear unbiased prediction (RR-BLUP) for genomic selection 16:35 - Assumptions of the error terms