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Mapping the Read2/CTV3 controlled clinical terminologies to Phecodes in UK Biobank primary care electronic health records: implementation and evaluation.

Authors :
Denaxas S
Liu G
Feng Q
Fatemifar G
Bastarache L
Kerchberger EV
Hingorani AD
Lumbers T
Peterson JF
Wei WQ
Hemingway H
Source :
AMIA ... Annual Symposium proceedings. AMIA Symposium [AMIA Annu Symp Proc] 2022 Feb 21; Vol. 2021, pp. 362-371. Date of Electronic Publication: 2022 Feb 21 (Print Publication: 2021).
Publication Year :
2022

Abstract

Objective: To establish and validate mappings between primary care clinical terminologies (Read Version 2, Clinical Terms Version 3) and Phecodes. Methods: We processed 123,662,421 primary care events from 230,096 UK Biobank (UKB) participants. We assessed the validity of the primary care-derived Phecodes by conducting PheWAS analyses for seven pre-selected SNPs in the UKB and compared with estimates from BioVU. Results: We mapped 92% of Read2 (n=10,834) and 91% of CTV3 (n=21,988) to 1,449 and 1,490 Phecodes. UKB PheWAS using Phecodes from primary care EHR and hospitalizations replicated all (n=22) previously-reported genotype-phenotype associations. When limiting Phecodes to primary care EHR, replication was 81% (n=18). Conclusion: We introduced a first version of mappings from Read2/CTV3 to Phecodes. The reference list of diseases provided by Phecodes can be extended, enabling researchers to leverage primary care EHR for high-throughput discovery research.<br /> (©2021 AMIA - All rights reserved.)

Details

Language :
English
ISSN :
1942-597X
Volume :
2021
Database :
MEDLINE
Journal :
AMIA ... Annual Symposium proceedings. AMIA Symposium
Publication Type :
Academic Journal
Accession number :
35308936