DeepNull models non-linear covariate effects to improve phenotypic prediction and association power

oleh: Zachary R. McCaw, Thomas Colthurst, Taedong Yun, Nicholas A. Furlotte, Andrew Carroll, Babak Alipanahi, Cory Y. McLean, Farhad Hormozdiari

Format: Article
Diterbitkan: Nature Portfolio 2022-01-01

Deskripsi

GWAS often assume a linear phenotype-covariate relationship which may not hold in practice. Here the authors present DeepNull, in which they apply deep learning to identify and adjust for complex non-linear relationships, improving phenotypic prediction and GWAS power.