We performed mixed linear model-based associations with a leave-one-chromosome-out approach (MLMA-LOCO) using GCTA. Included were categorical covariates for sex and data type (genotyping or low-pass sequencing), as well as quantitative covariates for height and age for non-morphological traits. SNPs in linkage disequilibrium (r2 > 0.5) and within range (250 kb) of significantly associated index SNPs (p = 5e-8) and loosely associated index SNPs (p = 1e-6) were clumped. For each study, we plotted the -log10(p-value) across the genome, the distribution of phenotypes in the cohort, and a Q-Q plot.
Funding
Transforming family dogs into a powerful and accessible model for human cancer
Collaborative Research URoL: Epigenetics2: Epigenetic pathways to regulate homeostatic resilience: Model-based discovery of rules across diverse mammals