Work

Phenotype-aware prioritisation of rare Mendelian disease variants

Year: 2022
Type: review
Abstract: A molecular diagnosis from the analysis of sequencing data in rare Mendelian diseases has a huge impact on the management of patients and their families. Numerous patient phenotype-aware variant prioritisation (VP) tools have been developed to help automate this process, and shorten the diagnostic odyssey, but performance statistics on real patient data are limited. Here we identify, assess, and compare the performance of all up-to-date, freely available, and programmatically accessible tools using a whole-exome, retinal disease dataset from 134 individuals with a molecular diagnosis. All tools were able to identify around two-thirds of the genetic diagnoses as the top-ranked candidate, with LIRICAL performing best overall. Finally, we discuss the challenges to overcome most cases remaining undiagnosed after current, state-of-the-art practices.
Language: English
Subfield: Genetics
Open Access status: hybrid
Estimated APC paid: $6,700
OpenAlex ID: W4289794327
FWCI: 0.877
Cites: 59
Cited by: 35
Related to: 10