Impact of different genomic relationship matrix construction methods on the accuracy of genomic prediction in different species

The study concluded that the optimal G-matrix construction method varies across species, with population structure being a key factor. These findings highlight the importance of species-specific optimization in genomic prediction and suggest that the influence of G-matrix construction diminishes in large-scale, high-density genomic datasets.

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Publication Details

Journal
Frontiers in Genetics
Published
2025-05-02
DOI
https://doi.org/10.3389/fgene.2025.1576248
Citations
1
Primary Topic
Genetic and phenotypic traits in livestock
Type
article
Field-Weighted Citation Impact
1.82

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article

Impact of different genomic relationship matrix construction methods on the accuracy of genomic prediction in different species

Qishan Wang, Dengying Liu, Yuchun Pan, Peipei Ma et al.
1 citations
Frontiers in Genetics
Genetic and phenotypic traits in livestock
1.82
article

Impact of different genomic relationship matrix construction methods on the accuracy of genomic prediction in different species

Qishan Wang, Dengying Liu, Yuchun Pan, Peipei Ma, Yingliang Wei, Shiyi Wang, Xiangzhe Zhang
article en
1 citations

Abstract

The study concluded that the optimal G-matrix construction method varies across species, with population structure being a key factor. These findings highlight the importance of species-specific optimization in genomic prediction and suggest that the influence of G-matrix construction diminishes in large-scale, high-density genomic datasets.

Frontiers in GeneticsVol. 16
Shanghai Jiao Tong University (CN), Zhejiang University (CN)
Natural Science Foundation of Shanghai, Agricultural Science and Technology Innovation Program
Life in Land
Openalex Percentile: Top 16%
Genetic and phenotypic traits in livestock
1.82
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