ArticleNucleic acids research2023
A high-resolution haplotype-resolved Reference panel constructed from the China Kadoorie Biobank Study.
Article in Nucleic acids research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Advances in haplotype phasing and genotype imputation.Nature reviews. Genetics · 2026Review
- High-quality Population-specific Haplotype-resolved Reference Panel in the Genomic and Pangenomic Eras.Genomics, proteomics & bioinformatics · 2025Review
- Recommendations for responsible use of population descriptors in polygenic risk score development.Nature genetics · 2025Review
- Cell-free DNA as a potential alternative to genomic DNA in genetic studies.NAR genomics and bioinformatics · 2025Article
- Arvimicrobium flavum gen. nov., sp. nov., A Novel Genus in the Family Phyllobacteriaceae Isolated From Forest Soil.Current microbiology · 2024Article
- Reference-based genome assembly and comparative genomics of Calamus Brandisii Becc. for unveiling sex-specific genes for early gender detection.Functional & integrative genomics · 2024Article
- Comparative whole genome analysis of face-derived Streptococcus infantis CX-4 unravels the functions related to skin barrier.Genes & genomics · 2024Article
- Differentiated adaptative genetic architecture and language-related demographical history in South China inferred from 619 genomes from 56 populations.BMC biology · 2024Article
- Genotyping and population characteristics of the China Kadoorie Biobank.Cell genomics · 2023Article
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Authors and funding
33 authors.
Funding
Abstract
Precision medicine depends on high-accuracy individual-level genotype data. However, the whole-genome sequencing (WGS) is still not suitable for gigantic studies due to budget constraints. It is particularly important to construct highly accurate haplotype reference panel for genotype imputation. In this study, we used 10 000 samples with medium-depth WGS to construct a reference panel that we named the CKB reference panel. By imputing microarray datasets, it showed that the CKB panel outperformed compared panels in terms of both the number of well-imputed variants and imputation accuracy. In addition, we have completed the imputation of 100 706 microarrays with the CKB panel, and the after-imputed data is the hitherto largest whole genome data of the Chinese population. Furthermore, in the GWAS analysis of real phenotype height, the number of tested SNPs tripled and the number of significant SNPs doubled after imputation. Finally, we developed an online server for offering free genotype imputation service based on the CKB reference panel (https://db.cngb.org/imputation/). We believe that the CKB panel is of great value for imputing microarray or low-coverage genotype data of Chinese population, and potentially mixed populations. The imputation-completed 100 706 microarray data are enormous and precious resources of population genetic studies for complex traits and diseases.
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