| Title: |
Pathway-based, reaction-specific annotation of disease variants for elucidation of molecular phenotypes |
| Authors: |
Orlic-Milacic, Marija; Rothfels, Karen; Matthews, Lisa; Wright, Adam; Jassal, Bijay; Shamovsky, Veronica; Trinh, Quang; Gillespie, Marc E; Sevilla, Cristoffer; Tiwari, Krishna; Ragueneau, Eliot; Gong, Chuqiao; Stephan, Ralf; May, Bruce; Haw, Robin; Weiser, Joel; Beavers, Deidre; Conley, Patrick; Hermjakob, Henning; Stein, Lincoln D; D’Eustachio, Peter; Wu, Guanming |
| Contributors: |
Medicine by Design; Centre for Therapeutic Target Validation; European Commission; Ontario Research (GL2) Fund; Open Targets; European Bioinformatics Institute; National Human Genome Research Institute; National Institutes of Health; Google Summer of Code Program |
| Source: |
Database ; volume 2024 ; ISSN 1758-0463 |
| Publisher Information: |
Oxford University Press (OUP) |
| Publication Year: |
2024 |
| Description: |
Germline and somatic mutations can give rise to proteins with altered activity, including both gain and loss-of-function. The effects of these variants can be captured in disease-specific reactions and pathways that highlight the resulting changes to normal biology. A disease reaction is defined as an aberrant reaction in which a variant protein participates. A disease pathway is defined as a pathway that contains a disease reaction. Annotation of disease variants as participants of disease reactions and disease pathways can provide a standardized overview of molecular phenotypes of pathogenic variants that is amenable to computational mining and mathematical modeling. Reactome (https://reactome.org/), an open source, manually curated, peer-reviewed database of human biological pathways, in addition to providing annotations for >11 000 unique human proteins in the context of ∼15 000 wild-type reactions within more than 2000 wild-type pathways, also provides annotations for >4000 disease variants of close to 400 genes as participants of ∼800 disease reactions in the context of ∼400 disease pathways. Functional annotation of disease variants proceeds from normal gene functions, described in wild-type reactions and pathways, through disease variants whose divergence from normal molecular behaviors has been experimentally verified, to extrapolation from molecular phenotypes of characterized variants to variants of unknown significance using criteria of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology. Reactome’s data model enables mapping of disease variant datasets to specific disease reactions within disease pathways, providing a platform to infer pathway output impacts of numerous human disease variants and model organism orthologs, complementing computational predictions of variant pathogenicity. Database URL: https://reactome.org/ |
| Document Type: |
article in journal/newspaper |
| Language: |
English |
| DOI: |
10.1093/database/baae031 |
| DOI: |
10.1093/database/baae031/58365220/baae031.pdf |
| Availability: |
https://doi.org/10.1093/database/baae031; https://academic.oup.com/database/article-pdf/doi/10.1093/database/baae031/58365220/baae031.pdf |
| Rights: |
https://creativecommons.org/licenses/by/4.0/ |
| Accession Number: |
edsbas.972B3538 |
| Database: |
BASE |