Identifying Crohn ’s disease signal from variome analysis

ConclusionsLarger training panels and additional features, including other types of genetic variants and environmental factors, e.g., human-associated microbiota, may improve model performance. However, the results presented here already position AVA,Dx as both an effective method for revealing pathogenesis pathways and as a CD risk analysis tool, which can improve clinical diagnostic time and accuracy. Links to the AVA,Dx Docker image and the BitBucket source code are athttps://bromberglab.org/project/avadx/.
Source: Genome Medicine - Category: Genetics & Stem Cells Source Type: research