A free web service designed to help you find the optimal genotyping array
for genetic studies using genotype imputation.
Genotype imputation is a critical step in genetic research, but selecting the optimal genotyping array can be challenging due to the trade-offs between cost, accuracy, and the specific requirements of a given genetic study. This decision is further complicated by the interplay of different reference panels, populations, and study-specific targets such as loci or SNPs or polygenic risk scores of interest.
By systematically guiding users through a series of questions, we simplify the decision-making process by automatically suggesting the optimal combination of reference panels and genotyping arrays based on target genes, SNPs, loci or polygenic risk scores of interests.
The tool is based on a comprehensive database enabling users to explore and compare the imputation accuracy based on different options and combinations.
4
Populations
4
Genotyping Arrays
3
Reference Panels
> 50M
Variaints
5,000
Polygenic Scores
The data is derived from Hanks et al., and the metadata for polygenic scores is used from the PGS Catalog.