| Autor: |
Julien Thevenon, Kevin Yauy, Nicolas Duforet-Frebourg, Quentin Testard, Sacha Beaumeunier, Jerome Audoux, Benoit Simard, DImitri Larue, Michael Blum, VIrginie Bernard, David Geneviève, Denis Bertrand, Nicolas Philippe |
| Rok vydání: |
2022 |
| Popis: |
Observing phenotyping practices from an international cohort of 1,686 cases revealed heterogeneity of phenotype reporting among clinicians. Heterogeneity limited their exploitation for diagnosis as only 43% of symptom-gene associations in the cohort were available in public databases. We developed a symptom interaction model that summarized 16,600 terms into 390 groups of interacting symptoms and detected 3,222,053 novel symptom-gene associations. By learning phenotypic patterns in genetic diseases, symptom interaction modeling handled heterogeneity in phenotyping, to the extent of covering 99.8% of our cohort’s symptom-gene associations. Using these symptom interactions improved the diagnostic performance in gene prioritization by 42% (median rank 80 to 41) compared to the best algorithms. Symptom interaction modeling will provide new discoveries in precision medicine by standardizing clinical descriptions. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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