Development and application of a 10 K low-density whole-genome SNP array for chickens

Genomic selection (GS) accelerates genetic improvement in poultry, but the high cost of high-density SNP arrays limits its large-scale application. Here, we developed and validated a cost-effective 10 K SNP array for chickens based on 55 K array data from 58,496 individuals across 16 commercial lines. The genome-wide panel comprises 10,000 SNPs using a multi-step strategy that integrated the fixation index (F<sub>ST</sub>), parentage-informative markers, and linkage disequilibrium (LD) pruning. Population genetic analyses showed that the 10 K array effectively captured major genetic diversity and clearly distinguished among groups. Genomic relationship estimates derived from the 10 K and 55 K arrays were highly concordant (r = 0.992), and genomic estimated breeding values (GEBVs) for seven traits showed strong correlations between the two platforms (r ≈ 0.97). Imputation from the 10 K to the 55 K array largely restored predictive accuracy to high-density levels, especially when the reference panel contained full-sibling individuals. These results indicate that the 10 K SNP array achieves an effective balance between cost and performance, and that a low-density plus imputation strategy is effective when a high-quality reference panel is available.

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Publication Details

Journal
Poultry Science
Published
2026-02-26
DOI
https://doi.org/10.1016/j.psj.2026.106707
Primary Topic
Genetic and phenotypic traits in livestock
Type
article
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article

Development and application of a 10 K low-density whole-genome SNP array for chickens

RanRan Liu, John T. Wen, Mengdi Wang, Yuehua Chen et al.
Poultry Science
Genetic and phenotypic traits in livestock
article

Development and application of a 10 K low-density whole-genome SNP array for chickens

RanRan Liu, John T. Wen, Mengdi Wang, Yuehua Chen, Maiqing Zheng, Xiaochun Ma, Lu Bai, Guiping Zhao
article en

Abstract

Genomic selection (GS) accelerates genetic improvement in poultry, but the high cost of high-density SNP arrays limits its large-scale application. Here, we developed and validated a cost-effective 10 K SNP array for chickens based on 55 K array data from 58,496 individuals across 16 commercial lines. The genome-wide panel comprises 10,000 SNPs using a multi-step strategy that integrated the fixation index (F<sub>ST</sub>), parentage-informative markers, and linkage disequilibrium (LD) pruning. Population genetic analyses showed that the 10 K array effectively captured major genetic diversity and clearly distinguished among groups. Genomic relationship estimates derived from the 10 K and 55 K arrays were highly concordant (r = 0.992), and genomic estimated breeding values (GEBVs) for seven traits showed strong correlations between the two platforms (r ≈ 0.97). Imputation from the 10 K to the 55 K array largely restored predictive accuracy to high-density levels, especially when the reference panel contained full-sibling individuals. These results indicate that the 10 K SNP array achieves an effective balance between cost and performance, and that a low-density plus imputation strategy is effective when a high-quality reference panel is available.

Poultry ScienceVol. 105(6)
Chinese Academy of Agricultural Sciences (CN), Institute of Animal Sciences (CN)
Zero hunger
Openalex Percentile: Top 41%
Genetic and phenotypic traits in livestock
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