Ontology highlight
ABSTRACT: Background
The genome-wide association study (GWAS) is a powerful method for mapping quantitative trait loci (QTL). However, standard GWAS can detect only QTL that segregate in the mapping population. Crossing populations with different characteristics increases genetic variability but F2 or back-crosses lack mapping resolution due to the limited number of recombination events. This drawback can be overcome with advanced intercross line (AIL) populations, which increase the number recombination events and provide a more accurate mapping resolution. Recent studies in humans have revealed ancestry-dependent genetic architecture and shown the effectiveness of admixture mapping in admixed populations.Results
Through the incorporation of line-of-origin effects and GWAS on an F
SUBMITTER: Bu L
PROVIDER: S-EPMC11660596 | biostudies-literature | 2024 Dec
REPOSITORIES: biostudies-literature