Results 241 to 250 of about 7,761,818 (273)

Extending Service Beyond Active Duty: Generalizability of Rheumatoid Arthritis Research Conducted Among US Veterans

Arthritis Care &Research, EarlyView.
Biomedical research involving US veterans continues to advance health care beyond the Veterans Health Administration. This is particularly true in rheumatoid arthritis (RA), where veteran‐centric research has uncovered novel insights into pathogenesis, risk factors, and disease manifestations, informing clinical care and research across both veteran ...
Austin M. Wheeler, Joshua F. Baker, Jennifer L. Barton, Maria I. Danila, Tate M. Johnson, Kamini Kuchinad, Kaleb Michaud, Amir A. Razmjou, J. Steuart Richards, Namrata Singh, Isaac D. Smith, Katherine D. Wysham, Grant W. Cannon, Bryant R. England, Amy Joseph, Deana Lazaro, Katherine P. Liao, Courtney Loecker, Andreas Reimold, Beth I. Wallace, Ted R. Mikuls   +20 more
wiley   +1 more source

Effect Modification of Cigarette Smoking on the Relationship Between Posttraumatic Stress Disorder, Other Mental Health Conditions, and Rheumatoid Arthritis Risk: A Large Case‐Control Study in US Veterans

Arthritis Care &Research, EarlyView.
Objective We examined associations of posttraumatic stress disorder (PTSD) and other mental health disorders (OMH) with rheumatoid arthritis (RA), accounting for effects of smoking. Methods We conducted a matched case‐control study, identifying incident RA cases and controls using national Veterans Health Administration data (2006–2019).
Kelsey Coziahr, Harlan Sayles, Tate M. Johnson, Joshua F. Baker, Punyasha Roul, Grant W. Cannon, Gary A. Kunkel, Katherine D. Wysham, Gail S. Kerr, Amir A. Razmjou, Isaac Smith, Jennifer L. Barton, Maria I. Danila, Jonathan S. Richards, Bryant R. England, Ted R. Mikuls   +15 more
wiley   +1 more source

Relation-Aware Heterogeneous Graph Learning for miRNA-Drug Response Association Prediction Under Cold-Start Generalization. [PDF]

Int J Mol Sci
Elbashir MK.
europepmc   +1 more source

Novel Models for the Prediction of Drug–Gene Interactions

Expert Opinion on Drug Metabolism and Toxicology, 2021
Adverse drug reactions (ADRs) are among the leading causes of death, and frequently associated with drug–gene interactions (DGIs). In addition to pharmacogenomic programs for implementation of genetic preemptive testing into clinical practice, mathematical modeling can help to understand, quantify and predict the effects of DGIs in vivo.
Dominik Selzer, Thorsten Lehr, Matthias Schwab   +2 more
exaly   +3 more sources

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Insights Into Pharmacogenetics, Drug-Gene Interactions, and Drug-Drug-Gene Interactions

Drug Metabolism Reviews
This review explores genetic contributors to drug interactions, known as drug-gene and drug-drug-gene interactions (DGI and DDGI, respectively). This article is part of a mini-review issue led by the International Society for the Study of Xenobiotics (ISSX) New Investigators Group.
Benjamin J Maldonato, Laura E Russell, Jaydeep Yadav   +2 more
exaly   +3 more sources

A review on the design and reporting of studies on drug–gene interaction

Journal of Clinical Epidemiology, 2005
Methodological standards for clinical pharmacogenetic studies should be developed to improve reporting of studies and facilitate their inclusion in systematic reviews. The essence of these studies lies within the concept of effect modification.A narrative review discussing methodological issues in the design and reporting of pharmacogenetic studies ...
Kim M, Smits, Jan S, Schouten, Luc J, Smits, Foekje F, Stelma, Patty, Nelemans, Martin H, Prins   +5 more
openaire   +2 more sources

Barcode Sequencing for Understanding Drug–Gene Interactions

2012
With the advent of next-generation sequencing (NGS) technology, methods previously developed for microarrays have been adapted for use by NGS. Here we describe in detail a protocol for Barcode analysis by sequencing (Bar-seq) to assess pooled competitive growth of individually barcoded yeast deletion mutants.
Andrew M, Smith, Tanja, Durbic, Saranya, Kittanakom, Guri, Giaever, Corey, Nislow   +4 more
openaire   +2 more sources

Drug metabolism and liver disease: a drug–gene–environment interaction

Drug Metabolism Reviews, 2017
Despite the central role of the liver in drug metabolism, surprisingly there is lack of certainty in anticipating the extent of modification of the clearance of a given drug in a given patient. The intent of this review is to provide a conceptual framework in considering the impact of liver disease on drug disposition and reciprocally the impact of ...
Nathalie K, Zgheib, Robert A, Branch
openaire   +2 more sources

Risk of drug‐gene interaction reduced under pharmacogenomic testing

The Brown University Psychopharmacology Update, 2022
Patients with major depressive disorder who received treatment guided by pharmacogenomic testing were more likely than patients receiving usual care to receive a medication with a lower potential drug‐gene interaction, a randomized clinical trial has reported.
openaire   +1 more source