Polygenic score workflows achieved highest discrimination for 53 of 80 openSNP phenotypes while machine-learning or deep-learning workflows did so for 27, with 41.2% of comparisons as practical ties and performance highly phenotype-dependent.
Human genotype-to-phenotype predictions: Boosting accuracy with nonlinear models.PLOS ONE, 17(8):e0273293, August 2022
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Benchmarking end-to-end genotype-to-phenotype prediction workflows across 80 openSNP phenotypes
Polygenic score workflows achieved highest discrimination for 53 of 80 openSNP phenotypes while machine-learning or deep-learning workflows did so for 27, with 41.2% of comparisons as practical ties and performance highly phenotype-dependent.