ArticleGenetics, selection, evolution : GSE2024
Haplotype analysis incorporating ancestral origins identified novel genetic loci associated with chicken body weight using an advanced intercross line.
Article in Genetics, selection, evolution : GSE, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
5 citing papers in PubMed.
- Genetic evidence of population admixture with European pigs and Southern Chinese pigs in Chinese indigenous Diqing Tibetan breed.BMC genomics · 2026Article
- Genome-wide association studies on body-weight and body-size traits among Zhedong white geese based on a modified genotyping-by-sequencing method.BMC genomics · 2025Article
- Article
- The impact of haplotypes derived from Chinese pigs on genetic variation and economic traits in the Duroc breed.Genetics, selection, evolution : GSE · 2025Article
- Genome-wide analyses reveal intricate genetic mechanisms underlying egg production efficiency in chickens.Journal of animal science and biotechnology · 2025Article
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Authors and funding
7 authors.
Funding
Abstract
backgroundThe 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.
resultsThrough the incorporation of line-of-origin effects and GWAS on an F
conclusionsIn addition to the candidate genes reported in this study, our research demonstrates the effectiveness of incorporating ancestral information in population genetic analyses, which can be broadly applicable for genetic mapping in populations generated by ancestors with distinct phenotypes and genetic backgrounds. Our methods can benefit both geneticists and biologists interested in the genetic determinism of complex traits.
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