A Bias Correction Method for Substructure Estimation with Small Reference Sample Sizes
This paper demonstrates that small reference sample sizes introduce systematic bias in population substructure estimates using Summix2, identifies a threshold of 150 individuals per group for accuracy, and proposes two effective bias correction methods tailored to different reference sample size scenarios.