A high-resolution haplotype-resolved Reference panel constructed from the China Kadoorie Biobank Study

Author:

Yu Canqing123ORCID,Lan Xianmei45ORCID,Tao Ye5,Guo Yu6,Sun Dianjianyi123,Qian Puyi7,Zhou Yuwen45,Walters Robin G89,Li Linxuan45,Zhu Yunqing1,Zeng Jingyu510,Millwood Iona Y89,Guo Ruidong5,Pei Pei2,Yang Tao7,Du Huaidong89ORCID,Yang Fan7,Yang Ling89,Ren Fangyi7,Chen Yiping89,Chen Fengzhen7,Jiang Xiaosen45,Ye Zhiqiang7,Dai Lanlan7,Wei Xiaofeng7,Xu Xun511ORCID,Yang Huanming51213,Wang Jian14,Chen Zhengming89,Zhu Huanhuan5,Lv Jun215,Jin Xin516,Li Liming123ORCID

Affiliation:

1. Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center , Beijing 100191 , China

2. Center for Public Health and Epidemic Preparedness and Response, Peking University , Beijing 100191 , China

3. Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education , Beijing 100191, China

4. College of Life Sciences, University of Chinese Academy of Sciences , Beijing 100049 , China

5. BGI Research , Shenzhen 518083 , China

6. National Center for Cardiovascular Diseases, Fuwai Hospital, Chinese Academy of Medical Sciences , Beijing 100037 , China

7. China National GeneBank, BGI , Shenzhen 518083 , China

8. Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford , Oxford OX3 7LF, United Kingdom

9. Medical Research Council Population Health Research Unit, Nuffield Department of Population Health, University of Oxford , Oxford OX3 7LF, United Kingdom

10. College of Life Sciences, Northwest A&F University , Yangling, Shaanxi 712100, China

11. Guangdong Provincial Key Laboratory of Genome Read and Write, BGI Research , Shenzhen 518083 , China

12. Guangdong Provincial Academician Workstation of BGI Synthetic Genomics, BGI , Shenzhen 518083 , China

13. James D. Watson Institute of Genome Sciences , Hangzhou 310013 , China

14. BGI , Shenzhen 518083 , China

15. State Key Laboratory of Vascular Homeostasis and Remodeling, Peking University , Beijing 100191, China

16. School of Medicine, South China University of Technology , Guangzhou 510006 , China

Abstract

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.

Publisher

Oxford University Press (OUP)

Subject

Genetics

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