Article
Leveraging molecular-QTL co-association to predict novel disease-associated genetic loci using a graph convolutional neural network
2024-03-05
Abstract excerpt
Genome-wide association studies (GWAS) have successfully uncovered numerous associations between genetic variants and disease traits to date. Yet, identifying significantly associated loci remains a considerable challenge due to the concomitant multiple-testing burden of performing such analyses genome-wide. Here, we leverage the genetic associations of molecular traits – DNA CpG-site methylation status and RNA ex...
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Identifiers and source
- Literature Corpus work
- dbf16422-3096-5543-a411-85622870a504
- DOI
- 10.1101/2024.03.04.24303678
