GCRP: Integrated Global Chicken Reference Panel from 11,951 Chicken Genomes

Chickens are a crucial source of protein for humans and a popular model animal for bird research. Despite the emergence of imputation as a reliable genotyping strategy for large populations, the lack of a high-quality chicken reference panel has hindered progress in chicken genome research. To address this, here we introduce the first phase of the 100K Global Chicken Reference Panel (100K GCRP). Currently, two panels are available: a comprehensive mix panel (CMP) for domestication diversity research and a commercial breed panel (CBP) for breeding broilers specifically. Evaluation of genotype imputation quality showed that CMP had the highest imputation accuracy compared to imputation using existing chicken panels in Animal-SNPAtlas and Animal Genotype Imputation Database (AGIDB), whereas CBP performed stably in the imputation of commercial populations. Additionally, we found that genome-wide association studies using GCRP-imputed data, whether on simulated or real phenotypes, exhibited greater statistical power. In conclusion, our study indicates that the GCRP effectively fills the gap in high-quality reference panels for chickens, providing an effective imputation platform for future genetic and breeding research. The project includes 11,951 samples and provides services for various applications on its website at http://farmrefpanel.com/GCRP/#/.

Authors

Institutions

Publication Details

Journal
Genomics Proteomics & Bioinformatics
Published
2025-04-15
DOI
https://doi.org/10.1093/gpbjnl/qzaf032
Citations
5
Primary Topic
Livestock and Poultry Management
Type
article
Field-Weighted Citation Impact
5.97
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

GCRP: Integrated Global Chicken Reference Panel from 11,951 Chicken Genomes

Yiqiang Zhao, Lingzhao Fang, Zheya Sheng, Yuzhan Wang et al.
5 citations
Genomics Proteomics & Bioinformatics
Livestock and Poultry Management
5.97
article

GCRP: Integrated Global Chicken Reference Panel from 11,951 Chicken Genomes

Yiqiang Zhao, Lingzhao Fang, Zheya Sheng, Yuzhan Wang, Dingming Shu, Xiaoxiang Hu, Qinghua Nie, Zi-Qin Jiang, Hui Li, Hui Zhang, Di Zhu, Hao Qu, Dexiang Zhang, Yuzhe Wang, Zhenqiang Xu, Suqiao Chu, Yunliang Jiang, Chugang Feng
article en
5 citations

Abstract

Chickens are a crucial source of protein for humans and a popular model animal for bird research. Despite the emergence of imputation as a reliable genotyping strategy for large populations, the lack of a high-quality chicken reference panel has hindered progress in chicken genome research. To address this, here we introduce the first phase of the 100K Global Chicken Reference Panel (100K GCRP). Currently, two panels are available: a comprehensive mix panel (CMP) for domestication diversity research and a commercial breed panel (CBP) for breeding broilers specifically. Evaluation of genotype imputation quality showed that CMP had the highest imputation accuracy compared to imputation using existing chicken panels in Animal-SNPAtlas and Animal Genotype Imputation Database (AGIDB), whereas CBP performed stably in the imputation of commercial populations. Additionally, we found that genome-wide association studies using GCRP-imputed data, whether on simulated or real phenotypes, exhibited greater statistical power. In conclusion, our study indicates that the GCRP effectively fills the gap in high-quality reference panels for chickens, providing an effective imputation platform for future genetic and breeding research. The project includes 11,951 samples and provides services for various applications on its website at http://farmrefpanel.com/GCRP/#/.

Genomics Proteomics & BioinformaticsVol. 23(3)
South China Agricultural University (CN), Nanjing Agricultural University (CN), Northeast Agricultural University (CN), Aarhus University (DK), Huazhong Agricultural University (CN), Animal Husbandry & Veterinary (IN), Guangdong Academy of Agricultural Sciences (CN), Wen's Food Group (China) (CN), China Agricultural University (CN), Shandong Agricultural University (CN)
Openalex Percentile: Top 4%
Livestock and Poultry Management
5.97
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.