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FastGWA-GLMM is a fast, scalable generalized linear mixed model method for genetic association testing for binary traits in large cohorts that is robust to variant frequency and case–control imbalance.
QUILT is a method for rapid genotype imputation and phasing from low-coverage whole-genome sequence data using a large haplotype reference panel. QUILT enables highly accurate imputation across a range of coverages and data types.
REGENIE is a whole-genome regression method based on ridge regression that enables highly parallelized analysis of quantitative and binary traits in biobank-scale data with reduced computational requirements.
GLIMPSE is a new method for haplotype phasing and genotype imputation of low-coverage sequencing datasets from large reference panels. GLIMPSE shows remarkable performance across different coverages and human populations.
