Dr. Yun Li’s laboratory has published a new manuscript titled “MagicalRsq: Machine-learning-based genotype imputation quality calibration” in the American Journal of Human Genetics.
First author is Quan Sun, graduate student in the Department of Biostatistics, co-senior authors include Dr. Yun Li and Dr. Christian Fuchsberger (Institute for Biomedicine, Eurac Research) and Genetics faculty co-authors include Drs. Laura Raffield and Daniel Schrider. The paper describes a machine-learning-based-method that integrates variant-level imputation and population genetics statistics, to provide a better calibrated imputation quality metric.