Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Preparing the Way: Exploiting Genomic Medicine to Stop Smoking.

ABSTRACT: Clinical medicine of the future is poised to use an individual's genomic data to predict disease risk and guide clinical care. The treatment of cigarette smoking and tobacco use disorder represents a prime area for genomics implementation. The genes CHRNA5 and CYP2A6 are strong genomic contributors that alter the risk of heaviness of smoking, tobacco use disorder, and smoking-related diseases in humans. These biomarkers have proven analytical and clinical validity, and evidence for their clinical utility continues to grow. We propose that these biomarkers harbor the potential of enabling the identification of elevated disease risk in smokers, personalizing smoking cessation treatments, and motivating behavioral changes. We must prepare for the integration of genomic applications into clinical care of patients who smoke.

SUBMITTER: Bierut LJ

PROVIDER: S-EPMC5812803 | biostudies-literature | 2018 Feb

REPOSITORIES: biostudies-literature

ACCESS DATA

Json Xml

Publications

Preparing the Way: Exploiting Genomic Medicine to Stop Smoking.

Bierut Laura J LJ Tyndale Rachel F RF

Trends in molecular medicine 20180104 2

Clinical medicine of the future is poised to use an individual's genomic data to predict disease risk and guide clinical care. The treatment of cigarette smoking and tobacco use disorder represents a prime area for genomics implementation. The genes CHRNA5 and CYP2A6 are strong genomic contributors that alter the risk of heaviness of smoking, tobacco use disorder, and smoking-related diseases in humans. These biomarkers have proven analytical and clinical validity, and evidence for their clinica ...[more]

PMID: 29307500

Similar Datasets

Preparing for genomic medicine: a real world demonstration of health system change.

Project description:Organisations and governments seeking to implement genomics into clinical practice face numerous challenges across multiple, diverse aspects of the health care system. It is not sufficient to tackle any one aspect in isolation: to create a system that supports genomic medicine, they must be addressed simultaneously. The growing body of global knowledge can guide decision-making, but each jurisdiction or organisation needs a model for genomic (or personalised) medicine that is tailored to its unique context, its priorities and the funds available. Poor decisions could greatly reduce the benefits that could potentially arise from genomic medicine. Demonstration projects enable models to be tested, providing valuable evidence and experience for subsequent implementation. Here, we present the Melbourne Genomics Health Alliance demonstration project as an exemplar of a collaborative, holistic approach to phased implementation of genomics across multiple autonomous institutions. The approach and lessons learned may assist others in determining how best to integrate genomics into their healthcare system.

| S-EPMC5677913 | biostudies-literature

Preparing Medical Specialists to Practice Genomic Medicine: Education an Essential Part of a Broader Strategy.

Project description:Developing a competent workforce will be crucial to realizing the promise of genomic medicine. The preparedness of medical specialists without specific genetic qualifications to play a role in this workforce has long been questioned, prompting widespread calls for education across the spectrum of medical training. Adult learning theory indicates that for education to be effective, a perceived need to learn must first be established. Medical specialists have to perceive genomic medicine as relevant to their clinical practice. Here, we review what is currently known about medical specialists' perceptions of genomics, compare these findings to those from the genetics era, and identify areas for future research. Previous studies reveal that medical specialists' views on the clinical utility of genomic medicine are mixed and are often tempered by several concerns. Specialists generally perceive their confidence and understanding to be lacking; subsequently, they welcome additional educational support, although specific needs are rarely detailed. Similar findings from the genetics era suggest that these challenges are not necessarily new but on a different scale and relevant to more specialties as genomic applications expand. While existing strategies developed for genetic education and training may be suitable for genomic education and training, investigating the educational needs of a wider range of specialties is critically necessary to determine if tailored approaches are needed and, if so, to facilitate these. Other interventions are also required to address some of the additional challenges identified in this review, and we encourage readers to see education as part of a broader implementation strategy.

| S-EPMC6749815 | biostudies-literature

Natural history of attempts to stop smoking.

Project description:This study provides a prospective fine-grain description of the incidence and pattern of intentions to quit, quit attempts, abstinence, and reduction in order to address several clinical questions about self-quitting.A total of 152 smokers who planned to quit in the next 3 months called nightly for 12 weeks to an Interactive Voice Response system to report cigarettes/day, quit attempts, intentions to smoke or not in the next day, and so forth. No treatment was provided.Most smokers (60%) made multiple transitions among smoking, reduction, and abstinence. Intention to not smoke or quit often did not result in a quit attempt but were still strong predictors of a quit attempt and eventual abstinence. Most quit attempts (79%) lasted less than 1 day; about one fifth (18%) of the participants were abstinent at 12 weeks. The majority of quit attempts (72%) were not preceded by an intention to quit. Such quit attempts were shorter than quit attempts preceded by an intention to quit (<1 day vs. 25 days). Most smokers (67%) used a treatment, and use of a treatment was nonsignificantly associated with greater abstinence (14 days vs. 3 days). Making a quit attempt and failing early predicted an increased probability of a later quit attempt compared to not making a quit attempt early (86% vs. 67%). Smokers often (17%) failed to report brief quit attempts on an end-of-study survey.Cessation is a more chronic, complex, and dynamic process than many theories or treatments assume.

| S-EPMC4184396 | biostudies-literature

Preparing Emergency Medicine Residents as Teachers: Clinical Teaching Scenarios.

Project description:IntroductionPreparing residents for supervision of medical students in the clinical setting is important to provide high-quality education for the next generation of physicians and is mandated by the Liaison Committee on Medical Education as well as the Accreditation Council for Graduate Medical Education. This requirement is met in variable ways depending on the specialty, school, and setting where teaching takes place. This educational intervention was designed to allow residents to practice techniques useful while supervising medical students in simulated encounters in the emergency department and increase their comfort level with providing feedback to students.MethodsThe four role-playing scenarios described here were developed for second-year residents in emergency medicine at the Indiana University School of Medicine. Residents participated in the scenarios prior to serving as a supervisor for fourth-year medical students rotating on the emergency medicine clerkship. For each scenario, a faculty member observed the simulated interaction between the resident and the simulated student. The residents were surveyed before and after participating in the scenarios to determine the effectiveness of the instruction.ResultsResidents reported that they were more comfortable supervising students, evaluating their performance, and giving feedback after participating in the scenarios.DiscussionParticipation in these clinical teaching scenarios was effective at making residents more comfortable with their role as supervisors of fourth-year students taking an emergency medicine clerkship. These scenarios may be useful as part of a resident-as-teacher curriculum for emergency medicine residents.

| S-EPMC6342361 | biostudies-literature

Precision Medicine in Lifestyle Medicine: The Way of the Future?

Project description:Precision medicine has captured the imagination of the medical community with visions of therapies precisely targeted to the specific individual's genetic, biological, social, and environmental profile. However, in practice it has become synonymous with genomic medicine. As such its successes have been limited, with poor predictive or clinical value for the majority of people. It adds little to lifestyle medicine, other than in establishing why a healthy lifestyle is effective in combatting chronic disease. The challenge of lifestyle medicine remains getting people to actually adopt, sustain, and naturalize a healthy lifestyle, and this will require an approach that treats the patient as a person with individual needs and providing them with suitable types of support. The future of lifestyle medicine is holistic and person-centered rather than technological.

| S-EPMC7092395 | biostudies-literature

Memantine Hydrochloride in Helping Cancer Survivors Stop Smoking

Project description:RATIONALE: Memantine hydrochloride may help people stop smoking by decreasing the symptoms of nicotine withdrawal. PURPOSE: This randomized, pilot phase II trial studies how effective memantine hydrochloride works compared to placebo in helping cancer survivors stop smoking.

| 2120504 | ecrin-mdr-crc

BioMiner: Paving the Way for Personalized Medicine.

Project description:Personalized medicine is promising a revolution for medicine and human biology in the 21st century. The scientific foundation for this revolution is accomplished by analyzing biological high-throughput data sets from genomics, transcriptomics, proteomics, and metabolomics. Currently, access to these data has been limited to either rather simple Web-based tools, which do not grant much insight or analysis by trained specialists, without firsthand involvement of the physician. Here, we present the novel Web-based tool "BioMiner," which was developed within the scope of an international and interdisciplinary project (SYSTHER) and gives access to a variety of high-throughput data sets. It provides the user with convenient tools to analyze complex cross-omics data sets and grants enhanced visualization abilities. BioMiner incorporates transcriptomic and cross-omics high-throughput data sets, with a focus on cancer. A public instance of BioMiner along with the database is available at http://systherDB.microdiscovery.de/, login and password: "systher"; a tutorial detailing the usage of BioMiner can be found in the Supplementary File.

| S-EPMC4406277 | biostudies-literature

Leveraging Genomic Data in Smoking Cessation Trials in the Era of Precision Medicine: Why and How.

Project description:ImplicationsThis article outlines a framework for the consistent integration of biological data/samples into smoking cessation pharmacotherapy trials, aligned with the objectives of the recently unveiled Precision Medicine Initiative. Our goal is to encourage and provide support for treatment researchers to consider biosample collection and genotyping their existing samples as well as integrating genetic analyses into their study design in order to realize precision medicine in treatment of nicotine dependence.

| S-EPMC5896450 | biostudies-literature

From evidence-based medicine to genomic medicine.

Project description:The concept of 'evidence-based medicine' dates back to mid-19th century or even earlier. It remains pivotal in planning, funding and in delivering the health care. Clinicians, public health practitioners, health commissioners/purchasers, health planners, politicians and public seek formal 'evidence' in approving any form of health care provision. Essentially 'evidence-based medicine' aims at the conscientious, explicit and judicious use of the current best evidence in making decisions about the care of individual patients. It is in fact the 'personalised medicine' in practice. Since the completion of the human genome project and the rapid accumulation of huge amount of data, scientists and physicians alike are excited on the prospect of 'personalised health care' based on individual's genotype and phenotype. The first decade of the new millennium now witnesses the transition from 'evidence-based medicine' to the 'genomic medicine'. The practice of medicine, including health promotion and prevention of disease, stands now at a wide-open road as the scientific and medical community embraces itself with the rapidly expanding and revolutionising field of genomic medicine. This article reviews the rapid transformation of modern medicine from the 'evidence-based medicine' to 'genomic medicine'.

| S-EPMC2269034 | biostudies-other

Direct-to-Consumer Genetic and Genomic Testing: Preparing Nurse Practitioners for Genomic Healthcare.

Project description:Rapidly emerging technologies make it possible for consumers to acquire information that is intended to explain their inherited susceptibility to disease and facilitate tailored healthcare services through direct-to-consumer (DTC) marketing of personal genetic (PG) and personal genomic (PGM) testing. However, the health benefits and risks associated with these technologies are largely unknown. Consumers will turn to their healthcare providers, including nurse practitioners, to interpret test results and seek guidance on how to use these test results for medical decision-making. Nurse practitioners will need to constantly update their practice skills in response to advances in genomic technology that create new expectations among patients and lead to substantial changes in healthcare delivery.

| S-EPMC2995214 | biostudies-literature

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data