We first estimated the genetic relationship matrix based on SNPs on each autosome using all individuals. Next we fitted a linear regression to explore the relationship between the number of known genes in a chromosome and its explained variance. This result is shown in the left panel of Figure 2. The R2 was 0.14% (P-value= 0.8685), indicating that there is no significant association between them. When we considered the relationship between the length of a chromosome and its explained variance, we observed a significant linear relationship between them (R2 = 20.75%, P-value= 0.033), as shown in the right panel of Figure 2.
