Algorithm pinpoints potential disease-causing variants in non-coding regions of human genome

Researchers from Children’s Hospital of Philadelphia (CHOP) and the Perelman School of Medicine at the University of Pennsylvania (Penn Medicine) have successfully employed an algorithm to identify potential mutations which increase disease risk in the noncoding regions of our DNA, which make up the vast majority of the human genome.

This article was originally published on MedicalXpress.com

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