Extended Data Fig. 8: Comparison of genomic inflation between BOLT-LMM (estimating the variance components only once using all variants) and BOLT-LMM_fine-tuning (re-estimating the variance components when a chromosome is left out). | Nature Genetics

Extended Data Fig. 8: Comparison of genomic inflation between BOLT-LMM (estimating the variance components only once using all variants) and BOLT-LMM_fine-tuning (re-estimating the variance components when a chromosome is left out).

From: A resource-efficient tool for mixed model association analysis of large-scale data

Extended Data Fig. 8: Comparison of genomic inflation between BOLT-LMM (estimating the variance components only once using all variants) and BOLT-LMM_fine-tuning (re-estimating the variance components when a chromosome is left out).

The simulation setting was the same as the (0, 0) scenario in Fig. 1. The median λ was computed at the null variants. Each boxplot represents the distribution of median λ across 100 simulation replicates. The line inside each box indicates the median value, notches indicate the 95% confidence interval of the median, the central box indicates the interquartile range (IQR), and whiskers indicate data up to 1.5 times the IQR.

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