Neural network improves genetic risk prediction in type 2 diabetes, suggesting steps towards clinical use.
We present neural network approaches that improve classification performance by integrating genotype data with genomic context while accounting for ancestry. Although current performance is not yet sufficient for clinical use in type 2 diabetes, incremental advances such as these may help move genetic risk prediction toward future clinical utility.
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Barnett et al. (2025) studied this question.
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