Preprint
Oct 2026
GCTAg: scalable mixed-model analysis for biobank-scale agricultural cohorts
Genome-wide association studies identify genomic variants associated with traits. Mixed linear model association (MLMA) methods using a whole-genome relationship matrix, such as those implemented in GCTA, are powerful but computationally expensive. Here, we remove key memory and CPU bottlenecks in GCTA, reducing REML m...
A. Leonard, Qiong-Yu He, Natasha Watson et al.
· 0 citations