Recommendations for designing genetic test reports to be understood by patients and non-specialists

Written communication of whole genome sequencing results in the NHS Genomic Medicine Service: a multi-centre service evaluation

Whole genome sequencing (WGS) is being used in diagnostic testing for certain clinical indications within the NHS Genomic Medicine Service (GMS) in England. Letter writing is an integral part of delivering results. However, no national guidelines for writing results from WGS exist. This multi-centre service evaluation used mixed methods to understand the content and readability of letters returning diagnostic, variant of uncertain significance (VUS), and no-finding results to paediatric rare disease patients. Eight Regional Genetics Services (response rate 47%) in England provided a total of 37 letters returning diagnostic (n = 13), VUS (n = 10), and no-finding (n = 14) results. Diagnostic and VUS results were usually delivered during an appointment; no-finding results were typically delivered by letter only. Letters were diverse in which content topics they covered and level of detail. No-finding letters (14/14) explained the result but were less likely to cover other topics. Diagnostic letters discussed the result (13/13), the condition (13/13), clinical genetics follow-up (13/13), clinical management (10/13), and adapting to the result (9/13). VUS letters explained the result (10/10), diagnostic uncertainty (10/10), and clinical genetics follow-up (10/10). Uncertainty was a common component of letters (33/37), irrespective of the result. Reanalysis or review after one or more years was suggested in 6/13 diagnostic, 7/10 VUS, and 6/14 no-finding letters. The mean reading level of letters corresponded to 15-17 years. Understanding how WGS results are conveyed to families during appointments, as well as how families interpret that information, is needed to provide a more comprehensive overview of results communication and inform best practices.

Involving patients and the public In sTatistIcal Analysis pLans (INITIAL): A delphi survey

BACKGROUND

Patient and public involvement (PPI) in trials aims to enhance research by improving its relevance and transparency. Planning for statistical analysis begins at the design stage of a trial within the protocol and is refined and detailed in a Statistical Analysis Plan (SAP). While PPI is common in design and protocol development it is less common within SAPs. This study aimed to reach consensus on the most important and relevant statistical analysis items within an SAP to involve patients and the public.

METHODS

We developed a UK-based, two-round Delphi survey through an iterative consultation with public partners, statisticians, and trialists. The consultation process started with 55 items from international guidance for statistical analysis plans. We aimed to recruit at least 20 participants per key stakeholder group for inclusion in the final analysis of the Delphi survey. Participants were asked to vote on each item using a Likert scale from 1 to 9, where a rating of 1 to 3 was labelled as having 'limited importance'; 4 to 6 as 'important but not critical' and 7 to 9 as 'critical' to involve patients and the public. Results from the second round determined consensus on critical items for PPI.

RESULTS

The consultation exercise led to the inclusion of 15 statistical items in the Delphi survey. We recruited 179 participants, of whom 72% (129: 36 statisticians, 29 patients or public partners, 25 clinical researchers or methodologists, 27 trial managers, and 12 PPI coordinators) completed both rounds. Participants were on average 48 years old, 60% were female, 84% were White, 64% were based in England and 84% had at least five years' experience in trials. Four items reached consensus regarding critical importance for patient and public involvement: presentation of results to trial participants; summary and presentation of harms; interpretation and presentation of findings in an academic setting; factors impacting how well a treatment works. No consensus was reached for the remaining 11 items. In general, the results were consistent across stakeholder groups.

DISCUSSION

We identified four critical items to involve patients and the public in statistical analysis plans. The remaining 11 items did not reach consensus and need to be considered in a case-by-case basis with most responders considering patient and public involvement important (but not critical). Our research provides a platform to enable focused future efforts to improve patient and public involvement in trials and enhance the relevance of statistical analyses to patients and the public.

The use of precision diagnostics for monogenic diabetes: a systematic review and expert opinion

BACKGROUND

Monogenic diabetes presents opportunities for precision medicine but is underdiagnosed. This review systematically assessed the evidence for (1) clinical criteria and (2) methods for genetic testing for monogenic diabetes, summarized resources for (3) considering a gene or (4) variant as causal for monogenic diabetes, provided expert recommendations for (5) reporting of results; and reviewed (6) next steps after monogenic diabetes diagnosis and (7) challenges in precision medicine field.

METHODS

Pubmed and Embase databases were searched (1990-2022) using inclusion/exclusion criteria for studies that sequenced one or more monogenic diabetes genes in at least 100 probands (Question 1), evaluated a non-obsolete genetic testing method to diagnose monogenic diabetes (Question 2). The risk of bias was assessed using the revised QUADAS-2 tool. Existing guidelines were summarized for questions 3-5, and review of studies for questions 6-7, supplemented by expert recommendations. Results were summarized in tables and informed recommendations for clinical practice.

RESULTS

There are 100, 32, 36, and 14 studies included for questions 1, 2, 6, and 7 respectively. On this basis, four recommendations for who to test and five on how to test for monogenic diabetes are provided. Existing guidelines for variant curation and gene-disease validity curation are summarized. Reporting by gene names is recommended as an alternative to the term MODY. Key steps after making a genetic diagnosis and major gaps in our current knowledge are highlighted.

CONCLUSIONS

We provide a synthesis of current evidence and expert opinion on how to use precision diagnostics to identify individuals with monogenic diabetes.

A Machine Learning Algorithm for Predicting 6-Week Survival in Spinal Metastasis: An External Validation Study Using 2,768 Taiwanese Patients

INTRODUCTION

There are predictive algorithms for predicting 3-month and 1-year survival in patients with spinal metastasis. However, advance in surgical technique, immunotherapy, and advanced radiation therapy has enabled shortening of postoperative recovery, which returns dividends to the overall quality-adjusted life-year. As such, the Skeletal Oncology Research Group machine learning algorithm (SORG-MLA) was proposed to predict 6-week survival in patients with spinal metastasis, whereas its utility for patients treated with nonsurgical treatment was untested externally. This study aims to validate the survival prediction of the 6-week SORG-MLA for patients with spinal metastasis and provide the measurement of model consistency (MC).

METHODS

Discrimination using area under the receiver operating characteristic curve, calibration, Brier score, and decision curve analysis were conducted to assess the model's performance in the Taiwanese-based cohort. MC was also applied to detect the proportion of paradoxical predictions among 6-week, 3-month, and 1-year survival predictions. The long-term prognosis should not be better than the shorter-term prognosis in that of an individual.

RESULTS

The 6-week survival rate was 84.2%. The SORG-MLA retained good discrimination with an area under the receiver operating characteristic curve of 0.78 (95% confidence interval, 0.75 to 0.80) and good prediction accuracy with a Brier score of 0.11 (null model Brier score 0.13). There is an underestimation of the 6-week survival rate when the predicted survival rate is less than 50%. Decision curve analysis showed that the model was suitable for use over all threshold probabilities. MC showed suboptimal consistency between 6-week and 90-day survival prediction (78%).

CONCLUSIONS

The results of this study supported the utility of the algorithm. The online tool ( https://sorg-apps.shinyapps.io/spinemetssurvival/ ) can be used by both clinicians and patients in informative decision-making discussion before management of spinal metastasis.

Determinants of targeted cancer therapy use in community oncology practice: a qualitative study using the Theoretical Domains Framework and Rummler-Brache process mapping

BACKGROUND

Precision medicine holds enormous potential to improve outcomes for cancer patients, offering improved rates of cancer control and quality of life. Not all patients who could benefit from targeted cancer therapy receive it, and some who may not benefit do receive targeted therapy. We sought to comprehensively identify determinants of targeted therapy use among community oncology programs, where most cancer patients receive their care.

METHODS

Guided by the Theoretical Domains Framework, we conducted semi-structured interviews with 24 community cancer care providers and mapped targeted therapy delivery across 11 cancer care delivery teams using a Rummler-Brache diagram. Transcripts were coded to the framework using template analysis, and inductive coding was used to identify key behaviors. Coding was revised until a consensus was reached.

RESULTS

Intention to deliver precision medicine was high across all participants interviewed, who also reported untenable knowledge demands. We identified distinctly different teams, processes, and determinants for (1) genomic test ordering and (2) delivery of targeted therapies. A key determinant of molecular testing was role alignment. The dominant expectation for oncologists to order and interpret genomic tests is at odds with their role as treatment decision-makers' and pathologists' typical role to stage tumors. Programs in which pathologists considered genomic test ordering as part of their staging responsibilities reported high and timely testing rates. Determinants of treatment delivery were contingent on resources and ability to offset delivery costs, which low- volume programs could not do. Rural programs faced additional treatment delivery challenges.

CONCLUSIONS

We identified novel determinants of targeted therapy delivery that potentially could be addressed through role re-alignment. Standardized, pathology-initiated genomic testing may prove fruitful in ensuring patients eligible for targeted therapy are identified, even if the care they need cannot be delivered at small and rural sites which may have distinct challenges in treatment delivery. Incorporating behavior specification and Rummler-Brache process mapping with determinant analysis may extend its usefulness beyond the identification of the need for contextual adaptation.

Ordering genetic testing by neurologists: points to consider

A significant challenge limiting the comprehensive utilization of genomic medicine is the lack of timely access to genetics specialists. Although neurologists see patients for whom genetic testing should be considered, the knowledge regarding the choice of the optimal genetic test for each case and the management of the test results are out of the scope of their everyday practice. In this review, we provide a step-by-step guide for non-geneticist physicians through the decision-making process when ordering diagnostic genetic testing for monogenic neurological diseases and when dealing with their results.

A Systematic Review of the use of Precision Diagnostics in Monogenic Diabetes

Monogenic forms of diabetes present opportunities for precision medicine as identification of the underlying genetic cause has implications for treatment and prognosis. However, genetic testing remains inconsistent across countries and health providers, often resulting in both missed diagnosis and misclassification of diabetes type. One of the barriers to deploying genetic testing is uncertainty over whom to test as the clinical features for monogenic diabetes overlap with those for both type 1 and type 2 diabetes. In this review, we perform a systematic evaluation of the evidence for the clinical and biochemical criteria used to guide selection of individuals with diabetes for genetic testing and review the evidence for the optimal methods for variant detection in genes involved in monogenic diabetes. In parallel we revisit the current clinical guidelines for genetic testing for monogenic diabetes and provide expert opinion on the interpretation and reporting of genetic tests. We provide a series of recommendations for the field informed by our systematic review, synthesizing evidence, and expert opinion. Finally, we identify major challenges for the field and highlight areas for future research and investment to support wider implementation of precision diagnostics for monogenic diabetes.

A personalized genomic results e-booklet, co-designed and pilot-tested by families

Objective

To develop and evaluate a personalizable genomic results e-booklet that helps families understand their genomic testing results and navigate available resources.

Methods

The need for the Genomics Results e-Booklet was identified by families, after which this tool was developed by a team of clinical researchers and three parent-advisors. We customized the genomic results e-booklet for 50 families participating in a genomic sequencing research study. We conducted an assessment using a 19-question survey and semi-structured interviews to elicit feedback and iteratively improve the tool.

Results

25 users provided feedback via questionnaires and seven respondents were interviewed. Genomic Results e-Booklet recipients responded favorably: 96% of participants stated that it helped them remember information shared during their results appointment, 80% said it had or would help them communicate their results with other healthcare providers, 68% felt that it helped to identify and guide their next steps, and 72% anticipated that the e-booklet would have future utility.

Conclusion

The Genomic Results e-Booklet is a patient and family-oriented resource that complements post-test genetic counselling.

Innovation

Compared to traditional laboratory reports and clinical letters, the Genomics Results e-Booklet is patient-conceived and patient-centered, and allows clinicians to efficiently personalize content and prioritize patient understanding and support.

Investigating the presentation of uncertainty in an icon array: A randomized trial

BACKGROUND

Clinicians are often advised to use pictographs to communicate risk, but whether they offer benefits when communicating risk imprecision (e.g., 65%-79%) is unknown.

PURPOSE

To test whether any of three approaches to visualizing imprecision would more effectively communicate breast and ovarian cancer risk for BRCA1 pathogenic variant carriers.

METHODS

1,300 UK residents were presented with a genetic report with information about BRCA1-related risks, with random assignment to one of four formats: no visualization (text alone), or a pictograph using shaded icons, a gradient, or arrows marking range endpoints. We also tested pictographs in two layouts. Analysis of variance (ANOVA) and regression was employed.

RESULTS

There was no effect of format. Participants shown pictographs vs. text alone had better uptake of breast cancer risk messages (p < .05, η ² = 0.003). Pictographs facilitated memory for the specific amount of risk (p < 0.001, η ² = 0.019), as did the tabular layout. Individuals not having completed upper secondary education may benefit most.

CONCLUSIONS

We found weak evidence in favor of using simple pictographs with ranges to communicate BRCA risk (versus text alone), and of the tabular layout.

INNOVATION

Testing different ways of communicating imprecision within pictographs is a novel and promising line of research.

Co-design, implementation, and evaluation of plain language genomic test reports

Understanding and communicating genomic results can be challenging for families and health professionals without genetic specialty training. Unlike modifying existing laboratory reports, plain language genomic test reports provide an opportunity for patient/family-centered approaches. However, emerging examples generally lack co-design and/or evaluation in real-world settings. Through co-design involving patient groups, plain language experts, educators, and genetic health professionals, plain language genomic test report templates were produced for common test outcomes in rare diseases. Eight plain language genomic test report templates were developed. These reports were piloted and evaluated as part of a national pediatric ultra-rapid genomic testing program. Family and genetic health professional experiences with report layout, content, and use were explored using surveys. Of 154 families and 107 genetic health professionals issued with reports, 51 families and 57 clinicians responded (RR = 33% and 53%, respectively). Most families (82%) found their report helpful in understanding the result. Reports were shared by 63% of families, predominantly with family members (72%), or health professionals (68%). Clinicians (15%) adapted the reports for other settings. Through co-design, plain language genomic test reports implemented in a real-world setting can facilitate patient/family and caregiver understanding and communication of genomic test purpose, outcome, and potential clinical implications.

Current practice in diagnostic genetic testing of the epilepsies

Epilepsy genetics is a rapidly developing field, in which novel disease-associated genes, novel mechanisms associated with epilepsy, and precision medicine approaches are continuously being identified. In the past decade, advances in genomic knowledge and analysis platforms have begun to make clinical genetic testing accessible for, in principle, people of all ages with epilepsy. For this reason, the Genetics Commission of the International League Against Epilepsy (ILAE) presents this update on clinical genetic testing practice, including current techniques, indications, yield of genetic testing, recommendations for pre- and post-test counseling, and follow-up after genetic testing is completed. We acknowledge that the resources vary across different settings but highlight that genetic diagnostic testing for epilepsy should be prioritized when the likelihood of an informative finding is high. Results of genetic testing, in particular the identification of causative genetic variants, are likely to improve individual care. We emphasize the importance of genetic testing for individuals with epilepsy as we enter the era of precision therapy.

Experiences of genetic testing among individuals with retinitis pigmentosa

BACKGROUND

Retinitis pigmentosa (RP) is a genetically heterogeneous retinal dystrophy which results in progressive vision loss. There is scant literature on the experiences of genetic testing in patients with RP.

MATERIALS AND METHODS

Patients with a clinical diagnosis of RP who received genetic testing at the Wills Eye Ocular Genetics clinic between 2016 and 2020 were recruited. Telephone interviews were conducted using a semi-structured guide designed to elicit participant experiences with genetic testing. A thematic analysis was performed to describe patterns in participant responses.

RESULTS

Twelve patients participated. Seven participants identified as female and five as male, with ages ranging from 22 to 70. Ten patients had positive genetic test results, while two had negative genetic testing. Reported motivations for genetic testing included qualification for clinical trials (58% of total participants), determination of etiology or usal gene (50%), reproductive concerns (50%), and prognostic outlook (50%). Most participants (75%) expressed satisfaction about their decision to pursue genetic testing. Participants with both positive and negative genetic testing reported persistent uncertainty regarding their prognosis for visual decline (50%). Genetic confirmation of disease leads to initiation of safety and vision-protecting health behaviors (42%).

CONCLUSION

Patients with RP are generally satisfied with their testing experience, despite approaching testing with a wide range of motivations and expectations. Future research can leverage this methodology to identify targets for improvement in pre- and post-test education and counselling.

Making BRCA1 genetic test reports easier to understand through user-centered design: A randomized trial

PURPOSE

Our objective was to apply a user-centered design process to identify phrases, graphics, and ways of communicating numerical risks that could be used to help patients understand their cancer risk and next steps on receiving BRCA1 genetic test results (positive, negative, and variants of uncertain significance).

METHODS

The first phase of the study, a user-centered design process, consisted of 4 rounds of interviews (N = 42, including 13 health care professionals and 16 patients having undergone BRCA testing). The second was a randomized, between-participants experimental study of 456 United Kingdom residents that compared the resulting reports to reports used in a United Kingdom national genomic laboratory hub. Outcomes were subjective and objective comprehension, communication efficacy, actionability, and perceived risk.

RESULTS

Subjective comprehension, communication efficacy, and actionability were all higher for the user-centered reports, with no difference in perceived risk. Comprehension of participants viewing user-centered reports was significantly better on 2 items, directionally (but not significantly) better on 6 items, and directionally (but not significantly) worse on 2 items.

CONCLUSION

Our results imply that user-centered design is a promising approach for developing materials about complex genetic risks. We suggest wordings that are likely to lead to improved comprehension when communicating BRCA-associated risks.

Development of a clinical polygenic risk score assay and reporting workflow

Implementation of polygenic risk scores (PRS) may improve disease prevention and management but poses several challenges: the construction of clinically valid assays, interpretation for individual patients, and the development of clinical workflows and resources to support their use in patient care. For the ongoing Veterans Affairs Genomic Medicine at Veterans Affairs (GenoVA) Study we developed a clinical genotype array-based assay for six published PRS. We used data from 36,423 Mass General Brigham Biobank participants and adjustment for population structure to replicate known PRS-disease associations and published PRS thresholds for a disease odds ratio (OR) of 2 (ranging from 1.75 (95% CI: 1.57-1.95) for type 2 diabetes to 2.38 (95% CI: 2.07-2.73) for breast cancer). After confirming the high performance and robustness of the pipeline for use as a clinical assay for individual patients, we analyzed the first 227 prospective samples from the GenoVA Study and found that the frequency of PRS corresponding to published OR > 2 ranged from 13/227 (5.7%) for colorectal cancer to 23/150 (15.3%) for prostate cancer. In addition to the PRS laboratory report, we developed physician- and patient-oriented informational materials to support decision-making about PRS results. Our work illustrates the generalizable development of a clinical PRS assay for multiple conditions and the technical, reporting and clinical workflow challenges for implementing PRS information in the clinic.

Refinements and considerations for trio whole genome sequence analysis when investigating Mendelian Diseases presenting in early childhood

To facilitate early deployment of whole-genome sequencing (WGS) for severely ill children, a standardized pipeline for WGS analysis with timely turnaround and primary care pediatric uptake is needed. We developed a bioinformatics pipeline for comprehensive gene-agnostic trio WGS analysis of children suspected of having an undiagnosed monogenic disease that included detection and interpretation of primary genetic mechanisms of disease, including SNVs/indels, CNVs/SVs, uniparental disomy (UPD), imprinted genes, short tandem repeat expansions, mobile element insertions, SMN1/2 copy number calling, and mitochondrial genome variants. We assessed primary care practitioner experience and competence in a large cohort of 521 families (comprising 90% WGS trios). Children were identified by primary practitioners for recruitment, and we used the UK index of multiple deprivation to confirm lack of patient socio-economic status ascertainment bias. Of the 521 children sequenced, 176 (34%) received molecular diagnoses, with rates as high as 45% for neurology clinics. Twenty-three of the diagnosed cases (13%) required bespoke methods beyond routine SNV/CNV analysis. In our multidisciplinary clinician user experience assessment, both pediatricians and clinical geneticists expressed strong support for rapid WGS early in the care pathway, but requested further training in determining patient selection, consenting, and variant interpretation. Rapid trio WGS provides an efficacious single-pass screening test for children when deployed by primary practitioners in clinical settings that carry high a priori risk for rare pediatric disease presentations.

Pharmacogenomics and asthma treatment: acceptability to children, families and healthcare professionals

BACKGROUND

Evidence supporting personalised treatment for asthma based on an individual's genetics is mounting. The views of children and young people (CYP), parents and healthcare professionals (HCPs) about this evolution of clinical care are not known.

METHODS

A pilot prospective questionnaire-based study was undertaken of CYP with asthma, their parents and HCPs at a secondary/tertiary children's hospital in the UK.

RESULTS

Fifty-nine questionnaires were distributed and 50 returned (response rate 84.7%), comprising 26 CYP (10 were 5-11 years, 11 were 12-15 years and 5 were 16-18 years old), 13 parents and 11 HCPs. For all types of data, personal information was ranked as the 'most important' (n=19, 47.5%) and 'most private' (n=16, 40%), but with considerable variation across groups. Within health data, allergies were rated as 'most important' (n=12, 30.8%), and mental health records the 'most private' (n=21, 53.8%), again with variation across groups. A 'personalised genetic asthma plan' was acceptable to the majority overall (n=40, 80.0%). With regard to sharing CYP's genetic data, 23 (46%) of participants were happy for unconditional sharing between HCPs, and 23 (46%) agreed to sharing solely in relation to the CYP's asthma management. Forty-two (84.0%) of participants felt CYP should be informed about genetic data being shared, and the majority felt this should commence by 12 years of age.

CONCLUSION

The use of genetic information to guide management of asthma in CYP is largely acceptable to CYP, parents/guardians and HCPs. However, there are key differences between the opinions of CYP, parents and HCPs.

YouTube as an information source on BRCA mutations: implications for patients and professionals

Genetic testing for BRCA1/2 mutations in early breast cancer has been shown to be beneficial, and an increase in surveillance using these genetic markers is recommended. Given this recommendation, it is likely that individuals gather information about such testing. Social media is increasingly becoming a common source of health information. One such platform known for sharing health information is YouTube. The purpose of this study was to describe content related to BRCA1/2 mutations on YouTube. The sample included 100 English language videos, which were coded for content related to BRCA1/2 mutations. The 100 videos evaluated in this study were viewed 5.5 million times. In general, the BRCA1 and BRCA2 gene mutations were mentioned simultaneously, with only 15% of videos explaining the difference in prevalence or implication of the variants individually. A great number of videos (85.0%) discussed having genetic testing to determine the presence of BRCA mutations, but only 16.0% discussed the potential harms of BRCA mutation testing and 42.0% mentioned seeking genetic counseling to determine the need for testing and interpretation of the test results. Comparing the characteristics and content of videos created by healthcare professionals (n = 71) to those created by consumers and the media (n = 29), we found that consumer/media videos were viewed twice as many times as professional videos (3,704,351 vs. 1,851,825, p = 0.04). Videos from medical professionals should include consistent information on the recommendations for individuals who test positive for a BRCA mutation. Such content should include education about BRCA mutations, testing, implications of those results and ways to reduce risk, and recommendations for increased surveillance and enhanced screening for individuals positive for BRCA mutations.

A Next Generation Sequencing-Based Protocol for Screening of Variants of Concern in Autism Spectrum Disorder

Autism spectrum disorder (ASD) is a neurodevelopmental disorder with strong genetic influences. There is an increasing demand for ASD genetic testing beyond the traditionally recommended microarray and syndromic autism testing; however, the current whole genome sequencing (WGS) and whole exome sequencing (WES) methods are lacking an academic standard for WGS variant annotation, reporting, and interpretation, tailored towards patients with ASD and offer very limited interpretation for clinical significance. Using WGS data from six family trios, we demonstrate the clinical feasibility and technical implementation of an evidence-based, fully transparent bioinformatics pipeline and report framework for an ASD-focused WGS genetic report. We confirmed a portion of the key variants with Sanger sequencing and provided interpretation with consideration of patients’ clinical symptoms and detailed literature review. Furthermore, we showed that identification of the genetic contributions of ASD core symptoms and comorbidities may promote a better understanding of the ASD pathophysiology, lead to early detection of associated comorbidities, and facilitate pharmacologic intervention based on pathological pathways inferred from the genetic information. We will make the bioinformatics pipeline and interpretation framework publicly available, in an easily accessible format, after validation with a larger cohort. We hope that the present proposed protocol can serve as a starting point to invite discourse and debate to further improve approaches in WGS-based genetic consultation for patients with ASD.

Challenges and practical solutions for managing secondary genomic findings in primary care

Primary care providers will increasingly be tasked with managing most secondary findings from genomic sequencing, but literature exploring their capacity to manage findings beyond conventional genetic testing is limited. This study aimed to explore primary care providers' challenges and potential solutions for managing secondary findings. Providers were recruited in two groups. Group 1 providers had a patient in their practice who received secondary findings and all potential group 1 providers were invited to participate. Group 2 providers were provided with the secondary findings of a hypothetical patient and were purposefully sampled for maximal variation in sex, practice setting, and geographic location. Providers were interviewed about their challenges and solutions managing secondary findings from a patient in their practice or a hypothetical patient. Using interpretive description methodology, transcripts were analysed thematically complemented by constant comparison. Out of the fifty-five providers invited, 15 family physicians participated across community and academic settings in Ontario, Canada (range 6-40 years in practice; 10/15 female). Providers described a responsibility to manage secondary findings, but limited capacity for this, describing practice, knowledge, and technical challenges. Providers expressed concern that compared to other incidental findings, secondary genomic findings might be reported directly to patients and result in longer-term anxiety. Potential solutions were a structured letter with categorized results and summary tables highlighting key secondary findings with follow-up recommendations and resources, as well as electronic medical records (EMRs) that store and integrate genomic information for prescribing or referrals. These solutions were deemed essential to address knowledge and technical challenges faced by primary care physicians and ultimately promote clinical utility of secondary findings.

Electronic Health Records and Genomics: Perspectives from the Association for Molecular Pathology Electronic Health Record (EHR) Interoperability for Clinical Genomics Data Working Group

The use of genomics in medicine is expanding rapidly, but information systems are lagging in their ability to support genomic workflows both from the laboratory and patient-facing provider perspective. The complexity of genomic data, the lack of needed data standards, and lack of genomic fluency and functionality as well as several other factors have contributed to the gaps between genomic data generation, interoperability, and utilization. These gaps are posing significant challenges to laboratory and pathology professionals, clinicians, and patients in the ability to generate, communicate, consume, and use genomic test results. The Association for Molecular Pathology Electronic Health Record Working Group was convened to assess the challenges and opportunities and to recommend solutions on ways to resolve current problems associated with the display and use of genomic data in electronic health records.

Design and user experience testing of a polygenic score report: a qualitative study of prospective users

Background

Polygenic scores—which quantify inherited risk by integrating information from many common sites of DNA variation—may enable a tailored approach to clinical medicine. However, alongside considerable enthusiasm, we and others have highlighted a lack of standardized approaches for score disclosure. Here, we review the landscape of polygenic score reporting and describe a generalizable approach for development of a polygenic score disclosure tool for coronary artery disease.

Methods

We assembled a working group of clinicians, geneticists, data visualization specialists, and software developers. The group reviewed existing polygenic score reports and then designed a two-page mock report for coronary artery disease. We then conducted a qualitative user-experience study with this report using an interview guide focused on comprehension, experience, and attitudes. Interviews were transcribed and analyzed for themes identification to inform report revision.

Results

Review of nine existing polygenic score reports from commercial and academic groups demonstrated significant heterogeneity, reinforcing the need for additional efforts to study and standardize score disclosure. Using a newly developed mock score report, we conducted interviews with ten adult individuals (50% females, 70% without prior genetic testing experience, age range 20–70 years) recruited via an online platform. We identified three themes from interviews: (1) visual elements, such as color and simple graphics, enable participants to interpret, relate to, and contextualize their polygenic score, (2) word-based descriptions of risk and polygenic scores presented as percentiles were the best recognized and understood, (3) participants had varying levels of interest in understanding complex genomic information and therefore would benefit from additional resources that can adapt to their individual needs in real time. In response to user feedback, colors used for communicating risk were modified to minimize unintended color associations and odds ratios were removed. All 10 participants expressed interest in receiving a polygenic score report based on their personal genomic information.

Conclusions

Our findings describe a generalizable approach to develop a polygenic score report understandable by potential patients. Although additional studies are needed across a wider spectrum of patient populations, these results are likely to inform ongoing efforts related to polygenic score disclosure within clinical practice.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12920-021-01056-0.

Redevelopment of the Predict: Breast Cancer website and recommendations for developing interfaces to support decision-making

Objectives

To develop a new interface for the widely used prognostic breast cancer tool: Predict: Breast Cancer. To facilitate decision‐making around post‐surgery breast cancer treatments. To derive recommendations for communicating the outputs of prognostic models to patients and their clinicians.

Method

We employed a user‐centred design process comprised of background research and iterative testing of prototypes with clinicians and patients. Methods included surveys, focus groups and usability testing.

Results

The updated interface now caters to the needs of a wider audience through the addition of new visualisations, instantaneous updating of results, enhanced explanatory information and the addition of new predictors and outputs. A programme of future research was identified and is now underway, including the provision of quantitative data on the adverse effects of adjuvant breast cancer treatments.

Based on our user‐centred design process, we identify six recommendations for communicating the outputs of prognostic models including the need to contextualise statistics, identify and address gaps in knowledge, and the critical importance of engaging with prospective users when designing communications.

Conclusions

For prognostic algorithms to fulfil their potential to assist with decision‐making they need carefully designed interfaces. User‐centred design puts patients and clinicians needs at the forefront, allowing them to derive the maximum benefit from prognostic models.

Clinical Genomics for the Diagnosis of Monogenic Forms of Inflammatory Bowel Disease: A Position Paper From the Paediatric IBD Porto Group of European Society of Paediatric Gastroenterology, Hepatology and Nutrition

BACKGROUND

It is important to identify patients with monogenic IBD as management may differ from classical IBD. In this position statement we formulate recommendations for the use of genomics in evaluating potential monogenic causes of IBD across age groups.

METHODS

The consensus included paediatric IBD specialists from the Paediatric IBD Porto group of the European Society of Paediatric Gastroenterology, Hepatology and Nutrition (ESPGHAN) and specialists from several monogenic IBD research consortia. We defined key topics and performed a systematic literature review to cover indications, technologies (targeted panel, exome and genome sequencing), gene panel setup, cost-effectiveness of genetic screening, and requirements for the clinical care setting. We developed recommendations that were voted upon by all authors and Porto group members (32 voting specialists).

RESULTS

We recommend next-generation DNA-sequencing technologies to diagnose monogenic causes of IBD in routine clinical practice embedded in a setting of multidisciplinary patient care. Routine genetic screening is not recommended for all IBD patients. Genetic testing should be considered depending on age of IBD-onset (infantile IBD, very early-onset IBD, paediatric or young adult IBD), and further criteria, such as family history, relevant comorbidities, and extraintestinal manifestations. Genetic testing is also recommended in advance of hematopoietic stem cell transplantation. We developed a diagnostic algorithm that includes a gene panel of 75 monogenic IBD genes. Considerations are provided also for low resource countries.

CONCLUSIONS

Genomic technologies should be considered an integral part of patient care to investigate patients at risk for monogenic forms of IBD.