Impact of erroneous marker data on the accuracy of narrow-sense heritability.

ABSTRACT: Genomic relationship matrices computed from single nucleotide polymorphism (SNP) data are now widely used to estimate narrow-sense heritability (h2), yet the impact of genotyping error on these estimates is not well understood. We used stochastic simulation and supporting algebra to examine this impact and its interplay with marker density. Starting from a diploid founder population with 300 additive quantitative trait loci, we simulated SNP panels with densities ranging from 6.25 to 50 SNPs per cM and traits with true h2 of either 0.2 or 0.6. Genotypes were then altered at error rates ε=0-1 under three error kernels. For each of 100 simulation replicates, we calculated the genomic relationship matrix using VanRaden's method and estimated h2 with restricted maximum likelihood (REML). In th

SUBMITTER: Sagariya C 

PROVIDER: S-EPMC12774826 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature