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An ancillary genomics system to support the return of pharmacogenomic results.

ABSTRACT: Existing approaches to managing genetic and genomic test results from external laboratories typically include filing of text reports within the electronic health record, making them unavailable in many cases for clinical decision support. Even when structured computable results are available, the lack of adopted standards requires considerations for processing the results into actionable knowledge, in addition to storage and management of the data. Here, we describe the design and implementation of an ancillary genomics system used to receive and process heterogeneous results from external laboratories, which returns a descriptive phenotype to the electronic health record in support of pharmacogenetic clinical decision support.

SUBMITTER: Rasmussen LV

PROVIDER: S-EPMC6402311 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature

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An ancillary genomics system to support the return of pharmacogenomic results.

Rasmussen Luke V LV Smith Maureen E ME Almaraz Federico F Persell Stephen D SD Rasmussen-Torvik Laura J LJ Pacheco Jennifer A JA Chisholm Rex L RL Christensen Carl C Herr Timothy M TM Wehbe Firas H FH Starren Justin B JB

Journal of the American Medical Informatics Association : JAMIA 20190401 4

Existing approaches to managing genetic and genomic test results from external laboratories typically include filing of text reports within the electronic health record, making them unavailable in many cases for clinical decision support. Even when structured computable results are available, the lack of adopted standards requires considerations for processing the results into actionable knowledge, in addition to storage and management of the data. Here, we describe the design and implementation ...[more]

PMID: 30778576

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Project description:BackgroundThe return of genetics and genomics research results has been a subject of ongoing global debate. Such feedback is ethically desirable to update participants on research findings particularly those deemed clinically significant. Although there is limited literature, debate continues in African on what constitutes appropriate practice regarding the return of results for genetics and genomics research. This study explored perspectives and ethical considerations of Ugandan genomics researchers regarding the return of genetics and genomics research results.MethodsThis was a qualitative study that employed in-depth interviews. Thirty participants were purposively selected based on their expertise as genomics researchers in Uganda. Data were analysed through content analysis along the main themes of the study using a comprehensive thematic matrix, to identify common patterns arising from the narratives. NVivo software 12 was used to support data analysis.ResultsThe return of genetics and genomics research results was generally acceptable to researchers, and some indicated that they had previously returned individual or aggregate results to participants and communities. The main reasons cited for sharing research results with participants included their clinical utility, actionability and overall benefit to society. Ethical considerations for appropriate return of results included a need for effective community engagement, genetic counselling prior to disclosure of the results, adequate informed consent, and proper assessment of the implications of, or consequences of returning of results. However, the approaches to return of results were perceived as unstandardized due to the lack of appropriate regulatory frameworks.ConclusionsThe return of genetic and genomic research results is generally acceptable to researchers despite the lack of appropriate regulatory frameworks. Ethical considerations for return of genetics and genomics research results are highly divergent, hence the need for national ethical guidelines to appropriately regulate the practice.

Project description:BackgroundThe implications of secondary findings detected in large-scale sequencing projects remain uncertain. We assessed prevalence and penetrance of pathogenic familial hypercholesterolemia (FH) variants, their association with coronary heart disease (CHD), and 1-year outcomes following return of results in phase III of the electronic medical records and genomics network.MethodsAdult participants (n=18 544) at 7 sites were enrolled in a prospective cohort study to assess the clinical impact of returning results from targeted sequencing of 68 actionable genes, including LDLR, APOB, and PCSK9. FH variant prevalence and penetrance (defined as low-density lipoprotein cholesterol >155 mg/dL) were estimated after excluding participants enrolled on the basis of hypercholesterolemia. Multivariable logistic regression was used to estimate the odds of CHD compared to age- and sex-matched controls without FH-associated variants. Process (eg, referral to a specialist or ordering new tests), intermediate (eg, new diagnosis of FH), and clinical (eg, treatment modification) outcomes within 1 year after return of results were ascertained by electronic health record review.ResultsThe prevalence of FH-associated pathogenic variants was 1 in 188 (69 of 13,019 unselected participants). Penetrance was 87.5%. The presence of an FH variant was associated with CHD (odds ratio, 3.02 [2.00-4.53]) and premature CHD (odds ratio, 3.68 [2.34-5.78]). At least 1 outcome occurred in 92% of participants; 44% received a new diagnosis of FH and 26% had treatment modified following return of results.ConclusionsIn a multisite cohort of electronic health record-linked biobanks, monogenic FH was prevalent, penetrant, and associated with presence of CHD. Nearly half of participants with an FH-associated variant received a new diagnosis of FH and a quarter had treatment modified after return of results. These results highlight the potential utility of sequencing electronic health record-linked biobanks to detect FH.

Project description:BackgroundPharmacogenomic clinical decision support systems (CDSS) have the potential to help overcome some of the barriers for translating pharmacogenomic knowledge into clinical routine. Before developing a prototype it is crucial for developers to know which pharmacogenomic CDSS features and user-system interactions have yet been developed, implemented and tested in previous pharmacogenomic CDSS efforts and if they have been successfully applied. We address this issue by providing an overview of the designs of user-system interactions of recently developed pharmacogenomic CDSS.MethodsWe searched PubMed for pharmacogenomic CDSS published between January 1, 2012 and November 15, 2016. Thirty-two out of 118 identified articles were summarized and included in the final analysis. We then compared the designs of user-system interactions of the 20 pharmacogenomic CDSS we had identified.ResultsAlerts are the most widespread tools for physician-system interactions, but need to be implemented carefully to prevent alert fatigue and avoid liabilities. Pharmacogenomic test results and override reasons stored in the local EHR might help communicate pharmacogenomic information to other internal care providers. Integrating patients into user-system interactions through patient letters and online portals might be crucial for transferring pharmacogenomic data to external health care providers. Inbox messages inform physicians about new pharmacogenomic test results and enable them to request pharmacogenomic consultations. Search engines enable physicians to compare medical treatment options based on a patient's genotype.ConclusionsWithin the last 5 years, several pharmacogenomic CDSS have been developed. However, most of the included articles are solely describing prototypes of pharmacogenomic CDSS rather than evaluating them. To support the development of prototypes further evaluation efforts will be necessary. In the future, pharmacogenomic CDSS will likely include prediction models to identify patients who are suitable for preemptive genotyping.

Dataset Information

An ancillary genomics system to support the return of pharmacogenomic results.

Publications

An ancillary genomics system to support the return of pharmacogenomic results.

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