<? mode longauthoraffil?> The Human Phenotype Ontology in 2024: phenotypes around the world

MA Gargano, N Matentzoglu, B Coleman… - Nucleic acids …, 2024 - academic.oup.com
Abstract The Human Phenotype Ontology (HPO) is a widely used resource that
comprehensively organizes and defines the phenotypic features of human disease …

Computational approaches for predicting variant impact: An overview from resources, principles to applications

Y Liu, WSB Yeung, PCN Chiu, D Cao - Frontiers in genetics, 2022 - frontiersin.org
One objective of human genetics is to unveil the variants that contribute to human diseases.
With the rapid development and wide use of next-generation sequencing (NGS), massive …

Generalisable long COVID subtypes: findings from the NIH N3C and RECOVER programmes

JT Reese, H Blau, E Casiraghi, T Bergquist… - …, 2023 - thelancet.com
Background Stratification of patients with post-acute sequelae of SARS-CoV-2 infection
(PASC, or long COVID) would allow precision clinical management strategies. However …

Phenotype‐driven approaches to enhance variant prioritization and diagnosis of rare disease

JOB Jacobsen, C Kelly, V Cipriani… - Human …, 2022 - Wiley Online Library
Rare disease diagnostics and disease gene discovery have been revolutionized by whole‐
exome and genome sequencing but identifying the causative variant (s) from the millions in …

AI-MARRVEL—a knowledge-driven AI system for diagnosing Mendelian disorders

D Mao, C Liu, L Wang, R Ai-Ouran, C Deisseroth… - Nejm Ai, 2024 - ai.nejm.org
Background Diagnosing genetic disorders requires extensive manual curation and
interpretation of candidate variants, a labor-intensive task even for trained geneticists …

The human phenotype ontology in 2021

S Köhler, M Gargano, N Matentzoglu… - Nucleic acids …, 2021 - academic.oup.com
Abstract The Human Phenotype Ontology (HPO, https://hpo. jax. org) was launched in 2008
to provide a comprehensive logical standard to describe and computationally analyze …

PhenoScore quantifies phenotypic variation for rare genetic diseases by combining facial analysis with other clinical features using a machine-learning framework

AJM Dingemans, M Hinne, KMG Truijen, L Goltstein… - Nature Genetics, 2023 - nature.com
Several molecular and phenotypic algorithms exist that establish genotype–phenotype
correlations, including facial recognition tools. However, no unified framework that …

Enhancing phenotype recognition in clinical notes using large language models: PhenoBCBERT and PhenoGPT

J Yang, C Liu, W Deng, D Wu, C Weng, Y Zhou… - Patterns, 2024 - cell.com
To enhance phenotype recognition in clinical notes of genetic diseases, we developed two
models—PhenoBCBERT and PhenoGPT—for expanding the vocabularies of Human …

[PDF][PDF] The human phenotype ontology in 2017

S Kohler, NA Vasilevsky, M Engelstad, E Foster… - 2017 - repository.ubn.ru.nl
Deep phenoty** has been defined as the precise and comprehensive analysis of
phenotypic abnormalities in which the individual components of the phenotype are observed …

[HTML][HTML] Genomic answers for children: Dynamic analyses of> 1000 pediatric rare disease genomes

ASA Cohen, EG Farrow, AT Abdelmoity, JT Alaimo… - Genetics in …, 2022 - Elsevier
Purpose This study aimed to provide comprehensive diagnostic and candidate analyses in a
pediatric rare disease cohort through the Genomic Answers for Kids program. Methods …