Article

Leveraging population-based clinical quantitative phenotyping for drug repositioning

2017-04-25

Abstract excerpt

<h4>ABSTRACT</h4> Computational drug repositioning methods can scalably nominate approved drugs for new diseases, with reduced risk of unforeseen side effects. The majority of methods eschew individual-level phenotypes despite the promise of biomarker-driven repositioning. In this study, we propose a framework for discovering serendipitous interactions between drugs and routine clinical phenotypes in cross-sectio...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: f57469b4-7f19-5e6c-b1ca-a221aa83c5eb
DOI: 10.1101/130799

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Leveraging population-based clinical quantitative phenotyping for drug repositioningDOI 10.1101/130799Read

Leveraging Population-Based Clinical Quantitative Phenotyping for Drug Repositioning.Semantic proximity Read

Genotype-predicted drug response phenotypes and their co-occurrence with dispensed medicines among 738,531 participants in the UK Our Future Health studySemantic proximity Read

From genomics to clinic: the transformative impact of AI in pharmacogenomics and personalized medicine.Semantic proximity Read

Pharmacogenomics in clinical practice and drug development.Semantic proximity Read

Empirical Drug Dosage Validates Pharmacogenomic Associations in All of Us.Semantic proximity Read

The Influence of Big (Clinical) Data and Genomics on Precision Medicine and Drug DevelopmentSemantic proximity Read

A Genetics-guided Integrative Framework for Drug Repurposing: Identifying Anti-hypertensive Drug Telmisartan for Type 2 DiabetesSemantic proximity Read

Influence of metabolic profiles on the safety of drug therapy in routine care in Germany: protocol of the cohort study EMPAR.Semantic proximity Read

Disease-drug database for pharmacogenomic-based prescribing.Semantic proximity Read

Foundational model aided automatic high-throughput drug screening using self-controlled cohort studySemantic proximity Read

Utilizing Large Electronic Medical Record Data Sets to Identify Novel Drug-Gene Interactions for Commonly Used Drugs.Semantic proximity Read

A genetically supported drug repurposing pipeline for diabetes treatment using electronic health recordsSemantic proximity Read