Unravelling the human genome–phenome relationship using phenome-wide association studies

WS Bush, MT Oetjens, DC Crawford - Nature Reviews Genetics, 2016 - nature.com
Advances in genotyping technology have, over the past decade, enabled the focused
search for common genetic variation associated with human diseases and traits. With the …

Phenome-wide association studies as a tool to advance precision medicine

JC Denny, L Bastarache… - Annual review of genomics …, 2016 - annualreviews.org
Beginning in the early 2000s, the accumulation of biospecimens linked to electronic health
records (EHRs) made possible genome-phenome studies (ie, comparative analyses of …

Efficiently controlling for case-control imbalance and sample relatedness in large-scale genetic association studies

W Zhou, JB Nielsen, LG Fritsche, R Dey… - Nature …, 2018 - nature.com
In genome-wide association studies (GWAS) for thousands of phenotypes in large biobanks,
most binary traits have substantially fewer cases than controls. Both of the widely used …

Phenotype risk scores identify patients with unrecognized Mendelian disease patterns

L Bastarache, JJ Hughey, S Hebbring, J Marlo, W Zhao… - Science, 2018 - science.org
Genetic association studies often examine features independently, potentially missing
subpopulations with multiple phenotypes that share a single cause. We describe an …

[HTML][HTML] A clinician friendly data warehouse oriented toward narrative reports: Dr. Warehouse

N Garcelon, A Neuraz, R Salomon, H Faour… - Journal of biomedical …, 2018 - Elsevier
Introduction Clinical data warehouses are often oriented toward integration and exploration
of coded data. However narrative reports are of crucial importance for translational research …

SemEHR: A general-purpose semantic search system to surface semantic data from clinical notes for tailored care, trial recruitment, and clinical research

H Wu, G Toti, KI Morley, ZM Ibrahim… - Journal of the …, 2018 - academic.oup.com
Objective Unlocking the data contained within both structured and unstructured components
of electronic health records (EHRs) has the potential to provide a step change in data …

Electronic health records for the diagnosis of rare diseases

N Garcelon, A Burgun, R Salomon, A Neuraz - Kidney international, 2020 - Elsevier
With the emergence of electronic health records, the reuse of clinical data offers new
perspectives for the diagnosis and management of patients with rare diseases. However …

Evaluating electronic health record data sources and algorithmic approaches to identify hypertensive individuals

PL Teixeira, WQ Wei, RM Cronin, H Mo… - Journal of the …, 2017 - academic.oup.com
Objective: Phenotyping algorithms applied to electronic health record (EHR) data enable
investigators to identify large cohorts for clinical and genomic research. Algorithm …

PheWAS and beyond: the landscape of associations with medical diagnoses and clinical measures across 38,662 individuals from Geisinger

A Verma, A Lucas, SS Verma, Y Zhang… - The American Journal of …, 2018 - cell.com
Most phenome-wide association studies (PheWASs) to date have used a small to moderate
number of SNPs for association with phenotypic data. We performed a large-scale single …

Genome‐wide and phenome‐wide approaches to understand variable drug actions in electronic health records

JR Robinson, JC Denny, DM Roden… - Clinical and …, 2017 - pmc.ncbi.nlm.nih.gov
Genome-wide association studies (GWAS) and phenomewide association studies
(PheWAS) have provided powerful methods for investigating the impact of genetic variation …