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Genome-wide Fine-mapping Power Prediction Tool
Predict fine-mapping power based on the estimated genetic architecture for complex trait
SBayesR / SBayesRC input Power and PHE prediction curves
Purpose
This tool is designed to predict the fine-mapping power and proportion of SNP-based heritability explained by fine-mapped variants using the estimated SNP-based heritability and number of variants in each mixture component defined in SBayesR or SBayesRC model. These parameters can be obtained from the output of SBayesR or SBayesRC analysis.
Method
The theoretical prediction method was developed by Jian Zeng and Loic Thibaut. This interactive interface was designed by Yang Wu and Zhili Zheng. Full details on the method please refer to:
Wu et al. (2026) Genome-wide fine-mapping improves identification of causal variants. Nature Genetics. In press.
Support
Yang Wu
Zhili Zheng
Jian Zeng
Model parameters
The number of variants with
Heritability
Trait name
Non-zero mixture variants
Fine-mapping power
Statistical power for identifying causal variants at different GWAS sample sizes
Fine-mapping PHE
Proportion of SNP-based heritability explained at different GWAS sample sizes