Extended Data Fig. 1: Evaluation of parameter estimation under different heritability settings.
From: An enhanced framework for local genetic correlation analysis
We compared HDL-L and LAVA for estimating heritability, genetic covariance, and genetic correlation across 50 simulation replicates. Six pairs of true heritability values were considered for the two phenotypes: \({h}_{1}^{2}\,=\,0.2,\,{h}_{2}^{2}\,=\,0.4\); \({h}_{1}^{2}\,=\,0.2,\,{h}_{2}^{2}\,=\,0.8;\) \({h}_{1}^{2}\,=\,0.6,\,{h}_{2}^{2}\,=\,0.8\); \({h}_{1}^{2}\,=\,0.3,\,{h}_{2}^{2}\,=\,0.3;\) \({h}_{1}^{2}\,=\,0.5,\,{h}_{2}^{2}\,=\,0.5;\) \({h}_{1}^{2}\,=\,0.7,\,{h}_{2}^{2}\,=\,0.7\). a-d, Chromosome 22 results: The boxplots depict estimation bias (Estimated minus true values), and the scatterplots with LOESS-fitted curves in the right panel show HDL-L’s improved accuracy. For each box, the horizontal line represents the median, the central box indicates the interquartile range (IQR), and whiskers extend up to 1.5 times the IQR.
