Next-generation phenotyping: introducing phecodeX for enhanced discovery research in medical phenomics

Author:

Shuey Megan M12ORCID,Stead William W3ORCID,Aka Ida3,Barnado April L3,Bastarache Julie A1,Brokamp Elly2,Campbell Meredith4,Carroll Robert J3,Goldstein Jeffrey A5,Lewis Adam3,Malow Beth A1,Mosley Jonathan D12,Osterman Travis3,Padovani-Claudio Dolly A6,Ramirez Andrea7,Roden Dan M12,Schuler Bryce A8,Siew Edward1,Sucre Jennifer8,Thomsen Isaac8,Tinker Rory J8,Van Driest Sara78,Walsh Colin3,Warner Jeremy L8,Wells Quinn S1,Wheless Lee1,Bastarache Lisa3

Affiliation:

1. Department of Medicine, Vanderbilt University Medical Center , Nashville, TN 37203, United States

2. Vanderbilt Genetics Institute, Vanderbilt University Medical Center , Nashville, TN 37203, United States

3. Department of Biomedical Informatics, Vanderbilt University Medical Center , Nashville, TN 37203, United States

4. Department of Pediatrics, Virginia Commonwealth University , Richmond, VA 23219, United States

5. Department of Pathology, Northwestern Feinberg School of Medicine , Chicago, IL 60611, United States

6. Department of Ophthalmology, Vanderbilt University Medical Center , Nashville, TN 37232, United States

7. All of Us Research Program, National Institutes of Health , Bethesda, MD 20892, United States

8. Department of Pediatrics, Vanderbilt University Medical Center , Nashville, TN 37203, United States

Abstract

Abstract Motivation Phecodes are widely used and easily adapted phenotypes based on International Classification of Diseases codes. The current version of phecodes (v1.2) was designed primarily to study common/complex diseases diagnosed in adults; however, there are numerous limitations in the codes and their structure. Results Here, we present phecodeX, an expanded version of phecodes with a revised structure and 1,761 new codes. PhecodeX adds granularity to phenotypes in key disease domains that are under-represented in the current phecode structure—including infectious disease, pregnancy, congenital anomalies, and neonatology—and is a more robust representation of the medical phenome for global use in discovery research. Availability and implementation phecodeX is available at https://github.com/PheWAS/phecodeX.

Funder

National Library of Medicine

National Human Genome Research Institute

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Reference23 articles.

1. Genetic and clinical determinants of telomere length;Allaire;HGG Adv,2023

2. Using phecodes for research with the electronic health record: from PheWAS to PheRS;Bastarache;Annu Rev Biomed Data Sci,2021

3. The phenotype–genotype reference map: improving biobank data science through replication;Bastarache;Am J Hum Genet,2023

4. Phenome-wide association studies;Bastarache;JAMA,2022

5. Codes and Vocabularies

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