Integrating GWAS and machine learning for disease risk prediction in the Taiwanese Hakka population.

To identify informative SNPs while minimizing redundancy, variants with P < 1 × 10 −2 were first selected based on prior evidence suggesting that moderately significant SNPs may still contribute meaningful predictive signal ( Narendra and Fukunaga, 1977 ; Montaez, 2018 ).

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