Free and Safe Next-Generation Genotype Imputation Service. Genotype imputation is a key component of genetic association studies, where it increases power, facilitates meta-analysis, and aids interpretation of signals. Genotype imputation is computationally demanding and, with current tools, typically requires access to a high-performance computing cluster and to a reference panel of sequenced genomes.
Run >>
88,000,000
Reference Genomes Variants
234
Registered Users
1,584
Jobs
The safest way to impute genotypes
Highly convenient
A new web-based service for imputation that greatly improves user experience and productivity.
Secure and private
Protect the security and privacy of reference panel and users' data at the same time. You have full control about the service.
Reference panel
Our sever offers genotype imputation from the 1000 Genomes (Phase 3 v5) reference panels with genome assembly GRCh37 (hg19) and GRCh38.
The easiest way to impute genotypes
Upload your genotype files
Select a reference panel
Download the results
Imputation workflow
Genotype imputation is a commonly used technique that exploits linkage disequilibrium (LD) to infer missing genotypes in genetic datasets, using a reference panel of subjects with complete observations on a more comprehensive set of SNPs.
News
A high-resolution haplotype-resolved Reference panel constructed from the China Kadoorie Biobank Study, published on 23 October 2023 in Nucleic Acids Research.
2023-10-23
The CNGB Imputation Service’s Reference panel has added the China Kadoorie Biobank (CKB).
2023-09-21
Redesigned user interface to improve user experience.
2021-10-10
Updated pipeline to v1.1.0. Currently, your CNGB Imputation pipeline will run on an SGX-based trusted execution environment.
2021-09-30
The CNGB Imputation Service v1.0.0 is online and available to signed-up users.
2021-09-01
How to cite
Yu, C., Lan, X., Tao, Y., Guo, Y., Sun, D., Qian, P., ... & Li, L. (2023). A high-resolution
haplotype-resolved Reference panel constructed from the China Kadoorie Biobank Study.
Nucleic Acids Research, 51(21), 11770-11782.
https://doi.org/10.1093/nar/gkad779