Abstract: The present disclosure relates to predicting trait information from the genetic information of individuals, and generating a model therefor. Learning is performed using a plurality of types of genetic information from a plurality of individuals, and a model for predicting trait information is generated. For said learning, it is possible to create images of the genetic information, and provide the same to said learning. The images in the present disclosure can store both sequence information and expression information. Moreover, the layout of genetic factors in the images can be optimized. Said learning can be performed as split learning, and the data after said split learning can be consolidated.