A data-driven architecture using natural language processing to improve phenotyping efficiency and accelerate genetic diagnoses of rare disorders.
Journal
HGG advances
ISSN: 2666-2477
Titre abrégé: HGG Adv
Pays: United States
ID NLM: 101772885
Informations de publication
Date de publication:
Jul 2021
Jul 2021
Historique:
entrez:
13
9
2021
pubmed:
14
9
2021
medline:
14
9
2021
Statut:
ppublish
Résumé
Effective genetic diagnosis requires the correlation of genetic variant data with detailed phenotypic information. However, manual encoding of clinical data into machine-readable forms is laborious and subject to observer bias. Natural language processing (NLP) of electronic health records has great potential to enhance reproducibility at scale but suffers from idiosyncrasies in physician notes and other medical records. We developed methods to optimize NLP outputs for automated diagnosis. We filtered NLP-extracted Human Phenotype Ontology (HPO) terms to more closely resemble manually extracted terms and identified filter parameters across a three-dimensional space for optimal gene prioritization. We then developed a tiered pipeline that reduces manual effort by prioritizing smaller subsets of genes to consider for genetic diagnosis. Our filtering pipeline enabled NLP-based extraction of HPO terms to serve as a sufficient replacement for manual extraction in 92% of prospectively evaluated cases. In 75% of cases, the correct causal gene was ranked higher with our applied filters than without any filters. We describe a framework that can maximize the utility of NLP-based phenotype extraction for gene prioritization and diagnosis. The framework is implemented within a cloud-based modular architecture that can be deployed across health and research institutions.
Identifiants
pubmed: 34514437
doi: 10.1016/j.xhgg.2021.100035
pmc: PMC8432593
mid: NIHMS1732874
pii:
doi:
Types de publication
Journal Article
Langues
eng
Subventions
Organisme : NICHD NIH HHS
ID : P50 HD105351
Pays : United States
Organisme : NICHD NIH HHS
ID : U54 HD090255
Pays : United States
Déclaration de conflit d'intérêts
Declaration of interests J.R.P. is the owner and founder of J Square Labs LLC. J.R.P, T.D., P.M., J.R., and S.L. are current or former employees or consultants of Alexion Pharmaceuticals, Inc., and C.Y., R.G., T.W., M.M., A.B., and A.F. are current or former employees of Clinithink Ltd. J.R.P. has consulted for and received compensation from GNS Health-care and TCB Analytics. J.R. is the owner and founder of Latent Strategies, LLC. A.H.B. has received funding from the NIH, MDA (USA), AFM Telethon, Alexion Pharmaceuticals, Inc., Audentes Therapeutics Inc., Dynacure SAS, and Pfizer Inc. He has consulted and received compensation or honoraria from Asklepios BioPharmaceutical, Inc., Audentes Therapeutics, Biogen, F. Hoffman-La Roche AG, GLG, Inc., Guidepoint Global, and Kate Therapeutics and holds equity in Ballard Biologics and Kate Therapeutics. P.B.A. is on the Clinical Advisory Board of Illumina Inc. and GeneDx. C.A.B. has consulted for, and received compensation or honoraria from, Q State Biosciences. All other authors declare no competing interests.
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