Denaxas, Spiros;
Liu, Ge;
Feng, Qiping;
Fatemifar, Ghazaleh;
Bastarache, Lisa;
Kerchberger, Eric V;
Hingorani, Aroon D;
... Hemingway, Harry; + view all
(2021)
Mapping the Read2/CTV3 controlled clinical terminologies to Phecodes in UK Biobank primary care electronic health records: implementation and evaluation.
In:
Proceeding of the AMIA Annual Symposium 2021.
(pp. pp. 362-371).
AMIA (American Medical Informatics Association)
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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.
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