We extended the joint analysis of chromosomes to that of genomic segments. We divided the genome evenly into NS segments with each of dS Mb length, and then estimated the GRM using the SNPs on each segment. We estimated the variance explained by each segment ( hC2) by fitting the GRMs of all the segments in an MLM y=Xβ+∑S=1NSgS+ε where gs is a vector of genetic effects attributable to each segment.
