Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

pyPheWAS: A Phenome-Disease Association Tool for Electronic Medical Record Analysis.

Neuroinformatics - 1 Apr 2022

Kerley Cailey I, Chaganti Shikha, Nguyen Tin Q, Bermudez Camilo, Cutting Laurie E, Beason-Held Lori L, Lasko Thomas, Landman Bennett A

Abstract excerpt

Along with the increasing availability of electronic medical record (EMR) data, phenome-wide association studies (PheWAS) and phenome-disease association studies (PheDAS) have become a prominent, first-line method of analysis for uncovering the secrets of EMR. Despite this recent growth, there is a lack of approachable software tools for conducting these analyses on large-scale EMR cohorts. In this article, we...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Electronic Health Records
Share to Genome-Wide Association Study

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Phenotype

Share to Software

Source

Open in PubMed Open full text

Identifiers

PMID: 34981404
DOI: 10.1007/s12021-021-09553-4
PMCID: PMC9250547

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

pyPheWAS: A Phenome-Disease Association Tool for Electronic Medical Record Analysis.PMID 34981404Read ↗

Using Phecodes for Research with the Electronic Health Record: From PheWAS to PheRS.Semantic proximity Read ↗

Next-generation phenotyping: introducing phecodeX for enhanced discovery research in medical phenomics.Semantic proximity Read ↗

PhenoTips: patient phenotyping software for clinical and research use.Semantic proximity Read ↗

The phers R package: using phenotype risk scores based on electronic health records to study Mendelian disease and rare genetic variantsSemantic proximity Read ↗

Maturation and application of phenome-wide association studies.Semantic proximity Read ↗

Developing and Evaluating Pediatric Phecodes (Peds-Phecodes) for High-Throughput Phenotyping Using Electronic Health RecordsSemantic proximity Read ↗

Methodology in phenome-wide association studies: a systematic review.Semantic proximity Read ↗

The phers R package: using phenotype risk scores based on electronic health records to study Mendelian disease and rare genetic variants.Semantic proximity Read ↗

GA4GH phenopacket-driven characterization of genotype-phenotype correlations in Mendelian disorders.Semantic proximity Read ↗

Improving the phenotype risk score as a scalable approach to identifying patients with Mendelian diseaseSemantic proximity Read ↗

Developing and evaluating pediatric phecodes (Peds-Phecodes) for high-throughput phenotyping using electronic health records.Semantic proximity Read ↗

Overcome the Limitation of Phenome-Wide Association Studies (PheWAS): Extension of PheWAS to Efficient and Robust Large-Scale ICD Codes AnalysisSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.