Trial reportClinical trials (London, England)2011
Design of a randomized trial of diabetes genetic risk testing to motivate behavior change: the Genetic Counseling/lifestyle Change (GC/LC) Study for Diabetes Prevention.
Trial report in Clinical trials (London, England), 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04331535 (Pragmatic Randomized Trial of Polygenic Risk Scoring for Common Diseases in Primary Care), which is not on this map. Cited by 12 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Pragmatic Randomized Trial of Polygenic Risk Scoring for Common Diseases in Primary Care
Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.
- Predicting risk of type 2 diabetes mellitus with genetic risk models on the basis of established genome-wide association markers: a systematic review.American journal of epidemiology · 2013Pooled it
- Personalized genetic risk counseling to motivate diabetes prevention: a randomized trial.Diabetes care · 2013Trial
- Randomized trial of personal genomics for preventive cardiology: design and challenges.Circulation. Cardiovascular genetics · 2012Trial
- Impact of literacy and numeracy on motivation for behavior change after diabetes genetic risk testing.Medical decision making : an international journal of the Society for Medical Decision MakingTrial
- Development and validation of a trans-ancestry polygenic risk score for type 2 diabetes in diverse populations.Genome medicine · 2022Article
- Parent and child perspectives on perceived barriers to child sun protection and their association with sun protection strategies among children of melanoma survivors.Pediatric dermatology · 2019Article
- Precision medicine in diabetes prevention, classification and management.Journal of diabetes investigation · 2018Review
- The ethics conundrum in Recall by Genotype (RbG) research: Perspectives from birth cohort participants.PloS one · 2018Article
- Article
- Can genetic information change patient behavior to reduce Type 2 diabetes risk?Personalized medicine · 2013Article
- Article
- Exploring predisposition and treatment response--the promise of genomics.Progress in cardiovascular diseasesReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 4 institutions in 1 country.
Funding
Abstract
backgroundThe efficacy of diabetes genetic risk testing to motivate behavior change for diabetes prevention is currently unknown. PURPOSE: This paper presents key issues in the design and implementation of one of the first randomized trials (The Genetic Counseling/Lifestyle Change (GC/LC) Study for Diabetes Prevention) to test whether knowledge of diabetes genetic risk can motivate patients to adopt healthier behaviors.
methodsBecause individuals may react differently to receiving 'higher' vs 'lower' genetic risk results, we designed a 3-arm parallel group study to separately test the hypotheses that: (1) patients receiving 'higher' diabetes genetic risk results will increase healthy behaviors compared to untested controls, and (2) patients receiving 'lower' diabetes genetic risk results will decrease healthy behaviors compared to untested controls. In this paper we describe several challenges to implementing this study, including: (1) the application of a novel diabetes risk score derived from genetic epidemiology studies to a clinical population, (2) the use of the principle of Mendelian randomization to efficiently exclude 'average' diabetes genetic risk patients from the intervention, and (3) the development of a diabetes genetic risk counseling intervention that maintained the ethical need to motivate behavior change in both 'higher' and 'lower' diabetes genetic risk result recipients.
resultsDiabetes genetic risk scores were developed by aggregating the results of 36 diabetes-associated single nucleotide polymorphisms. Relative risk for type 2 diabetes was calculated using Framingham Offspring Study outcomes, grouped by quartiles into 'higher', 'average' (middle two quartiles) and 'lower' genetic risk. From these relative risks, revised absolute risks were estimated using the overall absolute risk for the study group. For study efficiency, we excluded all patients receiving 'average' diabetes risk results from the subsequent intervention. This post-randomization allocation strategy was justified because genotype represents a random allocation of parental alleles ('Mendelian randomization'). Finally, because it would be unethical to discourage participants to participate in diabetes prevention behaviors, we designed our two diabetes genetic risk counseling interventions (for 'higher' and 'lower' result recipients) so that both groups would be motivated despite receiving opposing results. LIMITATIONS: For this initial assessment of the clinical implementation of genetic risk testing we assessed intermediate outcomes of attendance at a 12-week diabetes prevention course and changes in self-reported motivation. If effective, longer term studies with larger sample sizes will be needed to assess whether knowledge of diabetes genetic risk can help patients prevent diabetes.
conclusionsWe designed a randomized clinical trial designed to explore the motivational impact of disclosing both higher than average and lower than average genetic risk for type 2 diabetes. This design allowed exploration of both increased risk and false reassurance, and has implications for future studies in translational genomics.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.