Abstract

BackgroundLarge sample sizes are often required to detect statistically significant associations between pharmacogenetic markers and treatment response. Meta-analysis may be performed to synthesize data from several studies, increasing sample size and, consequently, power to detect significant genetic effects. However, performing robust synthesis of data from pharmacogenetic studies is often challenging because of poor reporting of key data in study reports. There is currently no guideline for the reporting of pharmacogenetic studies that has been developed using a widely accepted robust methodology. The objective of this project was to develop the STrengthening the Reporting Of Pharmacogenetic Studies (STROPS) guideline.Methods and findingsWe established a preliminary checklist of reporting items to be considered for inclusion in the guideline. We invited representatives of key stakeholder groups to participate in a 2-round Delphi survey. A total of 52 individuals participated in both rounds of the survey, scoring items with regards to their importance for inclusion in the STROPS guideline. We then held a consensus meeting, at which 8 individuals considered the results of the Delphi survey and voted on whether each item ought to be included in the final guideline. The STROPS guideline consists of 54 items and is accompanied by an explanation and elaboration document. The guideline contains items that are particularly important in the field of pharmacogenetics, such as the drug regimen of interest and whether adherence to treatment was accounted for in the conducted analyses. The guideline also requires that outcomes be clearly defined and justified, because in pharmacogenetic studies, there may be a greater number of possible outcomes than in other types of study (for example, disease–gene association studies). A limitation of this project is that our consensus meeting involved a small number of individuals, the majority of whom are based in the United Kingdom.ConclusionsOur aim is for the STROPS guideline to improve the transparency of reporting of pharmacogenetic studies and also to facilitate the conduct of high-quality systematic reviews and meta-analyses. We encourage authors to adhere to the STROPS guideline when publishing pharmacogenetic studies.

Highlights

  • Pharmacogenetic studies investigate associations between genetic variants and treatment response for a particular drug in terms of both efficacy and adverse events

  • We held a consensus meeting, at which 8 individuals considered the results of the Delphi survey and voted on whether each item ought to be included in the final guideline

  • Our aim is for the STrengthening the Reporting Of Pharmacogenetic Studies (STROPS) guideline to improve the transparency of reporting of pharmacogenetic studies and to facilitate the conduct of high-quality systematic reviews and meta-analyses

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Summary

Introduction

Pharmacogenetic studies investigate associations between genetic variants and treatment response for a particular drug in terms of both efficacy and adverse events. Healthcare providers may refer to the genotyping test result when determining whether to prescribe the drug, and if prescribed, the appropriate drug dosage. Meta-analysis improves sample size and increases power to detect significant associations while allowing researchers to investigate the possibility that significant associations observed in individual studies may be spurious. If study authors do not report outcomes for each genotype group separately, it may not be possible for researchers to include this study in meta-analyses. Large sample sizes are often required to detect statistically significant associations between pharmacogenetic markers and treatment response. Meta-analysis may be performed to synthesize data from several studies, increasing sample size and, power to detect significant genetic effects. The objective of this project was to develop the STrengthening the Reporting Of Pharmacogenetic Studies (STROPS) guideline

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