Work

P207: Phenotype-driven algorithms for enhanced rare disease diagnostics

Year: 2024
Type: article
Abstract: On average, approximately 30% of patients suffering from rare monogenic diseases receive a molecular diagnosis. Many patients remain undiagnosed due to the lack of a clear disease-causing genetic variant or mutation among the millions of variants in the average human genome. Computational approaches that efficiently and accurately identify functionally relevant variants for review are essential to diagnostic teams.
Authors: Isabelle Cooperstein, Alistair Ward, Gabor Marth
Institution: University of Utah
Language: English
Subfield: Genetics
Open Access status: gold
Estimated APC paid: $3,200
OpenAlex ID: W4392588982
FWCI:
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Related to: 10