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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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Literature Corpus work
dbf16422-3096-5543-a411-85622870a504
DOI
10.1101/2024.03.04.24303678
Open publication

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Leveraging molecular-QTL co-association to predict novel disease-associated genetic loci using a graph convolutional neural networkDOI 10.1101/2024.03.04.24303678
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