2009 ◽  
Vol 37 (3) ◽  
pp. 527-530
Author(s):  
Pooja Nair

In March 2009, the Supreme Court held in Wyeth v. Levine that federal drug labeling laws do not pre-empt state tort claims against drug manufacturers. The decision surprised many Court watchers, coming on the heels of a 2008 decision, Riegel v. Medtronic, in which the Court found that the Food, Drug, and Cosmetic Act (FDCA) does pre-empt state-law claims for injuries caused by medical devices that received premarket approval from the Food and Drug Administration. Wyeth dealt an immediate and surprising blow to the pharmaceutical industry’s principal strategy for avoiding tort lawsuits, but failed to clarify the Court’s overall pre-emption jurisprudence.


2020 ◽  
pp. 106002802098304
Author(s):  
Christine M. Cheng ◽  
Thomas W. So ◽  
Jeff L. Bubp

Background: The US Food and Drug Administration (FDA) recommends using only FDA-reviewed pharmacogenetic information to make prescribing decisions based on genetic test results. Such information is available in drug labeling and in the Table of Pharmacogenetic Associations (“Associations table”). Objective: To compile a list of drug-gene pairs from drug labeling and the Associations table and categorize the pharmacogenetic information and clinical outcome associated with each drug-gene pair. Methods: This was a cross-sectional analysis of pharmacogenetic information in the Associations table and individual drug labeling in March 2020. We used the Table of Pharmacogenomic Biomarkers in Drug Labeling to identify drug labels to review. We categorized the pharmacogenetic information for each drug-gene pair according to whether the purpose was to describe (1) polymorphisms affecting drug disposition (metabolism or transport), (2) polymorphisms affecting a direct drug target, (3) variants associated with adverse drug reaction (ADR) susceptibility, (4) variants associated with therapeutic failure, (5) a biomarker-defined indication, or (6) a biomarker-defined ADR. We also categorized the clinical outcome—efficacy, safety, or unknown—associated with each drug-gene pair. We reported counts and proportions of drug-gene pairs in each pharmacogenetic information and clinical outcome category. Results: We identified 308 drug-gene pairs, of which 36% were associated with a biomarker-defined drug indication, 33% with polymorphic drug metabolism, and 28% with ADR susceptibility. Most drug-gene pairs (n = 267, 87%) were associated with an efficacy or safety-related outcome. Conclusion and Relevance: FDA-reviewed pharmacogenetic information is available for more than 300 drug-gene pairs and can help guide prescribing decisions.


DICP ◽  
1991 ◽  
Vol 25 (7-8) ◽  
pp. 863-866 ◽  
Author(s):  
Saleh A. Bawazir ◽  
Mohammed I. Al-Hassan ◽  
Khalil I. Al-Khamis ◽  
Hisham S. Abou-Auda ◽  
Othman A. Gubara

2018 ◽  
Vol 27 (9) ◽  
pp. 1086-1092 ◽  
Author(s):  
Yunha Noh ◽  
Dongwon Yoon ◽  
Inmyung Song ◽  
Han Eol Jeong ◽  
Ji Hwan Bae ◽  
...  

Author(s):  
Chikako KUROSAWA ◽  
Chika UCHIYAMA ◽  
Tomoya SAKURADA ◽  
Eriko KOBAYASHI ◽  
Nobunori SATOH

Sign in / Sign up

Export Citation Format

Share Document