Multi-ancestry polygenic risk scores for consumer genomics applications
This peer-reviewed study demonstrates that OmicsEdge's PRS models achieve superior predictive performance across diverse populations, outperforming existing academic and industry models in clinical validation datasets of 2M+ individuals.
Benchmark Results
Scientific Publications & White Papers
All models are backed by peer-reviewed research, validated methodologies, and continuous scientific refinement. Below is the complete list of OmicsEdge publications.
Multi-ancestry polygenic risk scores for consumer genomics applications
Validates OmicsEdge's ancestry-informed PRS models across diverse populations, demonstrating superior predictive performance compared to existing academic and industry models in clinical datasets of 2M+ individuals.
Polygenic Risk Scores Validation: A Comprehensive Benchmark Study
Detailed benchmark comparing OmicsEdge PRS models against leading academic and commercial approaches across multiple disease phenotypes, showing consistent outperformance in both European and non-European cohorts.
SumStatsRehab: An efficient algorithm for GWAS summary statistics assessment and restoration
Introduces a novel algorithm for quality control and restoration of genome-wide association study summary statistics, improving the reliability of downstream PRS construction.
A comparative analysis of current phasing and imputation software
Systematic comparison of phasing and imputation approaches, establishing the foundation for the development of Selphi, OmicsEdge's proprietary imputation pipeline that achieves 99.9% accuracy on 200M+ variants.
Tracing human genetic histories and natural selection with precise local ancestry inference
Presents Orchestra, OmicsEdge's ancestral deconvolution tool, which achieves ~15% better recall and ~14% better precision than competing methods across 35+ populations including admixed samples.
Empowering GWAS Discovery through Enhanced Genotype Imputation
Details the Selphi imputation algorithm, demonstrating superior performance across all allele frequencies and multiple ancestries, with particular strength in clinically significant rare variants.