Extended Data Fig. 4: Correlation between chromosome length and estimates of variance explained from linkage analyses of BMI.
From: Genetic architecture reconciles linkage and association studies of complex traits

Analyses were based on summary statistics from a linkage meta-analysis of BMI and BMI adjusted for polygenic score (PGS). The x axis represents the physical length of each chromosome relative to the size of the autosome (that is, ~2879 Mb). The y axis represents the expected variance explained (\({q}_{{\rm{s}}}^{2}\)) for each chromosome (s = 1–22) estimated as \({q}_{{\rm{s}}}^{2}=\,{m}_{s}{\bar{q}}^{2}\), where \({\bar{q}}^{2}\) is the mean across the chromosome of estimates of locus-specific variance, and ms an effective number of independent markers per chromosome (Supplementary Table 8). Error bars around each dot represent ms times the standard deviation of linkage estimate across the chromosomes. Standard errors (s.e.) of the regression slopes were obtained using a leave-one-chromosome-out jackknife approach. 95% confidence intervals (CI) were calculated as 1.96×s.e.