Genetic & Genomic MedicineNature GeneticsPeer-reviewed
Valid inference for machine learning-assisted GWAS
Jiacheng Miao, Yixuan Wu, Zhongxuan Sun…·Qiongshi Lu
This study identifies risks of false positives in ML-assisted GWAS and introduces POP-GWAS, a framework that provides valid inference for GWAS on ML-imputed phenotypes, applied to BMD data to find 89 novel loci.
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