Implementing genomic medicine in the clinic: the future is here

Distribution of Genomic Testing Resources by Oncology Practice and Rurality: A Nationally Representative Study

PURPOSE

Oncologists are increasingly using molecular profiling to inform personalized patient treatment decisions. Despite its promising utility, the integration of genomic testing into diverse clinical health care settings across geographic settings has been understudied.

METHODS

We used data from the National Survey of Precision Medicine in Cancer Treatment, a nationally representative sample of practicing US oncologists, to assess the availability of six genomic testing resources, including on-site pathology, contracts with outside laboratories, on-site genetic counselors, internal policies or protocols for using genomic and biomarker testing, electronic medical record alerts, and genomic or molecular tumor boards. We used multivariate logistic regression models to examine differences in the availability of each genomic testing resource by practice type and rurality while adjusting for payer mix and patient volume.

RESULTS

A larger proportion of multispecialty group and academic practices had genomic testing resources available compared with solo and nonacademic practices. Electronic medical record alerts were the least available resource, whereas contracts with outside laboratories were the most available resource. Compared with urban practices, there were significantly fewer practices located in rural areas that had on-site pathology, on-site genetic counselors, protocols for genomic tests, and molecular tumor boards.

CONCLUSION

Genomic testing resources varied by practice type and geography among a nationally representative sample of practicing oncologists. This variation has important implications for the development of interventions and policies to support the more equitable delivery of precision oncology to patients with cancer.

Clinical Multigene Testing for Prostate Cancer

Germline genetic testing for prostate cancer (PC) is increasingly important as the clinical utility of germline variants in this patient population is understood better. To better characterize the clinical landscape of germline testing in PC, published clinical cohorts of PC who underwent clinical germline genetic analysis at point of care are reviewed. Limitations and heterogeneity of these cohorts are highlighted and pathogenic results with established or potential clinical utility in PC noted. The need for additional germline genetic studies is underscored, because the number of PC patients studied lags greatly behind the high prevalence of the disease.

Evaluating the clinical utility of early exome sequencing in diverse pediatric outpatient populations in the North Carolina Clinical Genomic Evaluation of Next-generation Exome Sequencing (NCGENES) 2 study: a randomized controlled trial

BACKGROUND

Exome sequencing (ES) has probable utility for shortening the diagnostic odyssey of children with suspected genetic disorders. This report describes the design and methods of a study evaluating the potential of ES as a routine clinical tool for pediatric patients who have suspected genetic conditions and who are in the early stages of the diagnostic odyssey.

METHODS

The North Carolina Clinical Genomic Evaluation by Next-generation Exome Sequencing (NCGENES) 2 study is an interdisciplinary, multi-site Phase III randomized controlled trial of two interventions: educational pre-visit preparation (PVP) and offer of first-line ES. In this full-factorial design, parent-child dyads are randomly assigned to one of four study arms (PVP + usual care, ES + usual care, PVP + ES + usual care, or usual care alone) in equal proportions. Participants are recruited from Pediatric Genetics or Neurology outpatient clinics in three North Carolina healthcare facilities. Eligible pediatric participants are < 16 years old and have a first visit to a participating clinic, a suspected genetic condition, and an eligible parent/guardian to attend the clinic visit and complete study measures. The study oversamples participants from underserved and under-represented populations. Participants assigned to the PVP arms receive an educational booklet and question prompt list before clinical interactions. Randomization to offer of first-line ES is revealed after a child's clinic visit. Parents complete measures at baseline, pre-clinic, post-clinic, and two follow-up timepoints. Study clinicians provide phenotypic data and complete measures after the clinic visit and after returning results. Reportable study-related research ES results are confirmed in a CLIA-certified clinical laboratory. Results are disclosed to the parent by the clinical team. A community consultation team contributed to the development of study materials and study implementation methods and remains engaged in the project.

DISCUSSION

NCGENES 2 will contribute valuable knowledge concerning technical, clinical, psychosocial, and health economic issues associated with using early diagnostic ES to shorten the diagnostic odyssey of pediatric patients with likely genetic conditions. Results will inform efforts to engage diverse populations in genomic medicine research and generate evidence that can inform policy, practice, and future research related to the utility of first-line diagnostic ES in health care.

TRIAL REGISTRATION

ClinicalTrials.gov NCT03548779 . Registered on June 07, 2018.

Genomic considerations for FHIR®; eMERGE implementation lessons

Structured representation of clinical genetic results is necessary for advancing precision medicine. The Electronic Medical Records and Genomics (eMERGE) Network's Phase III program initially used a commercially developed XML message format for standardized and structured representation of genetic results for electronic health record (EHR) integration. In a desire to move towards a standard representation, the network created a new standardized format based upon Health Level Seven Fast Healthcare Interoperability Resources (HL7® FHIR®), to represent clinical genomics results. These new standards improve the utility of HL7® FHIR® as an international healthcare interoperability standard for management of genetic data from patients. This work advances the establishment of standards that are being designed for broad adoption in the current health information technology landscape.

The Interface of Therapeutics and Genomics in Cardiovascular Medicine

Pharmacogenomics has a burgeoning role in cardiovascular medicine, from warfarin dosing to antiplatelet choice, with recent developments in sequencing bringing the promise of personalised medicine ever closer to the bedside. Further scientific evidence, real-world clinical trials, and economic modelling are needed to fully realise this potential. Additionally, tools such as polygenic risk scores, and results from Mendelian randomisation analyses, are only in the early stages of clinical translation and merit further investigation. Genetically targeted rational drug design has a strong evidence base and, due to the nature of genetic data, academia, direct-to-consumer companies, healthcare systems, and industry may meet in an unprecedented manner. Data sharing navigation may prove problematic. The present manuscript addresses these issues and concludes a need for further guidance to be provided to prescribers by professional bodies to aid in the consideration of such complexities and guide translation of scientific knowledge to personalised clinical action, thereby striving to improve patient care. Additionally, technologic infrastructure equipped to handle such large complex data must be adapted to pharmacogenomics and made user friendly for prescribers and patients alike.

Modernizing family health history: achievable strategies to reduce implementation gaps

Family health history (FHH) is a valuable yet underused healthcare tool for assessing health risks for both prevalent disorders like diabetes, cancer, and cardiovascular diseases, and for rare, monogenic disorders. Full implementation of FHH collection and analysis in healthcare could improve both primary and secondary disease prevention for individuals and, through cascade testing, make at risk family members eligible for pre-symptomatic testing and preventative interventions. In addition to risk assessment in the clinic, FHH is increasingly important for interpreting clinical genetic testing results and for research connecting health risks to genomic variation. Despite this value, diverse implementation gaps in clinical settings undermine its potential clinical value and limit the quality of connected health and genomic data. The NHGRI Family Health History Group, an open-membership, US-based group with international members, believes that integrating FHH in healthcare and research is more important than ever, and that achievable implementation advances, including education, are urgently needed to boost the pace of translational utility in genomic medicine. An inventory of implementation gaps and proposed achievable strategies to address them, representing a consensus developed in meetings from 2019-2020, is presented here. The proposed measures are diverse, interdisciplinary, and are guided by experience and ongoing implementation and research efforts.

Population genetic considerations for using biobanks as international resources in the pandemic era and beyond

The past years have seen the rise of genomic biobanks and mega-scale meta-analysis of genomic data, which promises to reveal the genetic underpinnings of health and disease. However, the over-representation of Europeans in genomic studies not only limits the global understanding of disease risk but also inhibits viable research into the genomic differences between carriers and patients. Whilst the community has agreed that more diverse samples are required, it is not enough to blindly increase diversity; the diversity must be quantified, compared and annotated to lead to insight. Genetic annotations from separate biobanks need to be comparable and computable and to operate without access to raw data due to privacy concerns. Comparability is key both for regular research and to allow international comparison in response to pandemics. Here, we evaluate the appropriateness of the most common genomic tools used to depict population structure in a standardized and comparable manner. The end goal is to reduce the effects of confounding and learn from genuine variation in genetic effects on phenotypes across populations, which will improve the value of biobanks (locally and internationally), increase the accuracy of association analyses and inform developmental efforts.

Recent scientific/intellectual movements in biomedicine

This study compares the trajectories of recent scientific/intellectual movements (SIMs) in biomedicine: evidence-based medicine, translational medicine, precision medicine, personalized medicine, stratified medicine, and genomic medicine. Drawing on bibliometric analysis of these six SIMs, this study identifies three patterns: field integration, niche creation, and disruptive insurgence. Field integration SIMs such as evidence-based medicine and translational medicine are characterized by centrality of key concept papers of the SIM in co-citation networks and dense institutional and country collaboration networks, signaling the resonance of the SIM to the broader biomedical community. In contrast, niche creation SIMs such as stratified medicine and genomic medicine are characterized by lower levels of annual scientific production, the lack centrality or connectivity of key concept papers in co-citation networks, and less density in collaboration networks. Disruptive insurgence SIMs such as precision medicine and personalized medicine are characterized by a high level of annual scientific production, driven by a smaller core of institutions and countries. This is likely a transitional stage as field disrupting SIMs can either become integrated with the broader field or become influential in niches. Proponents of the current push for precision medicine should ensure that a wide range of institutions and specialties be included while being mindful of the dominance of cancer and genomic approaches to health and medicine.

Utility of Genetic Testing from the Perspective of Parents/Caregivers: A Scoping Review

In genomics, perceived and personal utility have been proposed as constructs of value that include the subjective meanings and uses of genetic testing. Precisely what constitutes these constructs of utility and how they vary by stakeholder perspective remains unresolved. To advance methods for measuring the value of genetic testing in child health, we conducted a scoping review of the literature to characterize utility from the perspective of parents/caregivers. Peer reviewed literature that included empiric findings from parents/caregivers who received genetic test results for an index child and was written in English from 2016-2020 was included. Identified concepts of utility were coded according to Kohler's construct of personal utility. Of 2142 abstracts screened, 33 met inclusion criteria. Studies reflected a range of genetic test types; the majority of testing was pursued for children with developmental or neurodevelopmental concerns. Coding resulted in 15 elements of utility that mapped to Kohler's four domains of personal utility (affective, cognitive, behavioural and social) and one additional medical management domain. An adapted construct of utility for parents/caregivers may enable specific and standardized strategies for researchers to use to generate evidence of the post-test value of genetic testing. In turn, this will contribute to emerging methods for health technology assessment and policy decision making for genomics in child health.

"It's something I've committed to longer term": The impact of an immersion program for physicians on adoption of genomic medicine

OBJECTIVE

To foster implementation of genomic testing in medical care by providing a cadre of physicians with 'hands on' experience in genomics, positioning them as opinion leaders in their medical speciality. This paper presents qualitative evaluation of immediate outcomes, in particular its impact on peer interactions.

METHODS

Program design and delivery was informed by implementation science, behavior change and experiential learning theories. Inductive content analysis of transcribed audio-recordings from semi-structured post-project interviews with all participants (n = 12) was conducted.

RESULTS

Participants reported the immersion experience improved their genomic capability, established them as credible genomic experts within their speciality and altered their practice in genomic medicine. Participants reported strengthening and widening of peer-to-peer and interdisciplinary communication, with both passive diffusion and active dissemination of information to peers. Some also became a resource for genetic professionals.

CONCLUSIONS

Genomic immersion participants described elements which support sustained integration of an innovation, including immediate changes (e.g. use of genomic tests) and wider impacts (e.g. professional networks).

PRACTICE IMPLICATIONS

This study supports a role for immersion as a successful strategy for enhancing engagement of non-geneticist physicians in genomics. Additional study is needed to understand how immersion experiences change the delivery of genomic services at the provider, practice and health system level.

Blueprint for cancer research: Critical gaps and opportunities

We are experiencing a revolution in cancer. Advances in screening, targeted and immune therapies, big data, computational methodologies, and significant new knowledge of cancer biology are transforming the ways in which we prevent, detect, diagnose, treat, and survive cancer. These advances are enabling durable progress in the goal to achieve personalized cancer care. Despite these gains, more work is needed to develop better tools and strategies to limit cancer as a major health concern. One persistent gap is the inconsistent coordination among researchers and caregivers to implement evidence-based programs that rely on a fuller understanding of the molecular, cellular, and systems biology mechanisms underpinning different types of cancer. Here, the authors integrate conversations with over 90 leading cancer experts to highlight current challenges, encourage a robust and diverse national research portfolio, and capture timely opportunities to advance evidence-based approaches for all patients with cancer and for all communities.

Experiences of Latino Participants Receiving Neutral Genomic Screening Results: A Qualitative Study

PURPOSE

The aim of the study was to characterize experiences of Latino participants receiving genomic screening results.

METHODS

Participants were recruited at a federally qualified health center in the USA. In-person, semi-structured interviews were conducted in either Spanish or English by a bilingual, bicultural interviewer. Questions focused on motivations for pursuing genomic sequencing, concerns about receiving genomic screening results, and perceived benefits of receiving genomic information. Interviews were audio-recorded, transcribed, and translated.

RESULTS

Fifty individuals completed an interview; 39 were conducted in Spanish. Participants described mixed motivations for pursuing genomic screening. Participants viewed the benefits of genomic screening in relation to not only their personal health but to the health of their families and their communities. Participants tended to have few concerns about genomic screening. Those concerns related to potential loss of privacy, misuses of genomic information, and the possibility of receiving distressing results. Some participants had misunderstandings about the scope of the test and the potential implications of their results. Most felt it was better to know about a genetic predisposition to disease than to remain uninformed. Participants felt that genomic screening was worthwhile.

DISCUSSION

This is one of the first studies to examine the experiences of Latino individuals receiving genomic screening results. Our results suggest that many Latino patients in the US see value in genomic screening and have limited concerns about its potential to cause harm. These results inform ongoing efforts to increase the availability of genomic medicine to underrepresented populations and add to our understanding of sociocultural drivers in the adoption of precision medicine.

Pharmacogenomics and prescription opioid use

Genome-wide association studies and candidate gene findings suggest that genetic approaches may help in choosing the most appropriate drug and dosage, while preventing adverse drug reactions. This is the field that addresses precision medicine: to evaluate variations in the DNA sequence that could be responsible for different individual analgesic response. We review potential gene biomarkers with best overall convergent functional evidence, for opioid use, in pain management. Polymorphisms can modify pharmacodynamics (i.e., mu opioid receptor, OPRM1) and pharmacokinetics (i.e., CYP2D6 phenotypes) pathways altering opioid effectiveness, consumption, side effects or additionally, prescription opioid use dependence vulnerability. This review provides a summary of these candidate variants for the translation of genotype into clinically useful information in pain medicine.

Public engagement with genomic medicine: a summary of town hall discussions

Engaging with the public for their input about genomic medicine is critical before it is implemented into routine healthcare practice. In order to inform discussion and planning for the introduction of genome sequencing into clinical care in an Eastern Canadian province, we implemented a program of public engagement activities. Here, we report a qualitative summary of two town hall discussions utilizing a hybrid information-consultation approach with 20 residents of the province of Newfoundland and Labrador, Canada. Discussion revealed largely positive attitudes towards genomic medicine; however, critical reflection around informed consent models, the return of sequencing findings, and access to qualified healthcare professionals revealed numerous public concerns. Public support will be important to realize the potential benefits of genomics and precision medicine to health outcomes. Our findings highlight public concerns that must be addressed in educational and informed consent documents related to sequencing. Town hall attendees endorsed ongoing public education and awareness-building initiatives which could help foster transparency and trust as genomics is integrated into healthcare systems.

Pharmacogenomics Implementation and Hurdles to Overcome; In the Context of a Developing Country

Having multiple dimensions, uncertainties and several stakeholders, the costly pharmacogenomics (PGx) is associated with dynamic implementation complexities. Identification of these challenges is critical to harness its full potential, especially in developing countries with fragile healthcare systems and scarce resources. This is the first study aimed to identify most salient challenges related to PGx implementation, with respect to the experiences of early-adopters and local experts' prospects, in the context of a developing country in the Middle East. To perform a comprehensive reconnaissance on PGx adoption challenges a scoping literature review was conducted based on national drug policy components: efficacy/safety, access, affordability and rational use of medicine (RUM). Strategic option development and analysis workshop method with cognitive mapping as the technique was used to evaluate challenges in the context of Iran. The cognitive maps were face-validated and analyzed via Decision Explorer XML. The findings indicated a complex network of issues relative to PGx adoption, categorized in national drug policy indicators. In the rational use of medicine category, ethics, education, bench -to- bedside strategies, guidelines, compliance, and health system issues were found. Clinical trial issues, test's utility, and biomarker validation were identified in the efficacy group. Affordability included pricing, reimbursement, and value assessment issues. Finally, access category included regulation, availability, and stakeholder management challenges. The current study identified the most significant challenges ahead of clinical implementation of PGx in a developing country. This could be the basis of a policy-note development in future work, which may consolidate vital communication among stakeholders and accelerate the efficient implementation in developing new-comer countries.

Preconception genome medicine: current state and future perspectives to improve infertility diagnosis and reproductive and health outcomes based on individual genomic data

BACKGROUND

Our genetic code is now readable, writable and hackable. The recent escalation of genome-wide sequencing (GS) applications in population diagnostics will not only enable the assessment of risks of transmitting well-defined monogenic disorders at preconceptional stages (i.e. carrier screening), but also facilitate identification of multifactorial genetic predispositions to sub-lethal pathologies, including those affecting reproductive fitness. Through GS, the acquisition and curation of reproductive-related findings will warrant the expansion of genetic assessment to new areas of genomic prediction of reproductive phenotypes, pharmacogenomics and molecular embryology, further boosting our knowledge and therapeutic tools for treating infertility and improving women's health.

OBJECTIVE AND RATIONALE

In this article, we review current knowledge and potential development of preconception genome analysis aimed at detecting reproductive and individual health risks (recessive genetic disease and medically actionable secondary findings) as well as anticipating specific reproductive outcomes, particularly in the context of IVF. The extension of reproductive genetic risk assessment to the general population and IVF couples will lead to the identification of couples who carry recessive mutations, as well as sub-lethal conditions prior to conception. This approach will provide increased reproductive autonomy to couples, particularly in those cases where preimplantation genetic testing is an available option to avoid the transmission of undesirable conditions. In addition, GS on prospective infertility patients will enable genome-wide association studies specific for infertility phenotypes such as predisposition to premature ovarian failure, increased risk of aneuploidies, complete oocyte immaturity or blastocyst development failure, thus empowering the development of true reproductive precision medicine.

SEARCH METHODS

Searches of the literature on PubMed Central included combinations of the following MeSH terms: human, genetics, genomics, variants, male, female, fertility, next generation sequencing, genome exome sequencing, expanded carrier screening, secondary findings, pharmacogenomics, controlled ovarian stimulation, preconception, genetics, genome-wide association studies, GWAS.

OUTCOMES

Through PubMed Central queries, we identified a total of 1409 articles. The full list of articles was assessed for date of publication, limiting the search to studies published within the last 15 years (2004 onwards due to escalating research output of next-generation sequencing studies from that date). The remaining articles' titles were assessed for pertinence to the topic, leaving a total of 644 articles. The use of preconception GS has the potential to identify inheritable genetic conditions concealed in the genome of around 4% of couples looking to conceive. Genomic information during reproductive age will also be useful to anticipate late-onset medically actionable conditions with strong genetic background in around 2-4% of all individuals. Genetic variants correlated with differential response to pharmaceutical treatment in IVF, and clear genotype-phenotype associations are found for aberrant sperm types, oocyte maturation, fertilization or pre- and post-implantation embryonic development. All currently known capabilities of GS at the preconception stage are reviewed along with persisting and forthcoming barriers for the implementation of precise reproductive medicine.

WIDER IMPLICATIONS

The expansion of sequencing analysis to additional monogenic and polygenic traits may enable the development of cost-effective preconception tests capable of identifying underlying genetic causes of infertility, which have been defined as 'unexplained' until now, thus leading to the development of a true personalized genomic medicine framework in reproductive health.

The mediating effects of public genomic knowledge in precision medicine implementation: A structural equation model approach

Precision medicine emphasizes predictive, preventive and personalized treatment on the basis of information gleaned from personal genetic and environmental data. Its implementation at health systems level is regarded as multifactorial, involving variables associated with omics technologies, public genomic awareness and adoption tendencies for new medical technologies. However, interrelationships of the various factors and their synergy has not been sufficiently quantified. Based on a survey of 270 participants involved in the use of molecular tests (omics-based biomarkers, OBMs), this study examined how characteristics of omics biomarkers influence precision medicine implementation outcomes (ImO) through an intermediary factor, public genomic awareness (represented by User Response, UsR). A structural equation modelling (SEM) approach was applied to develop and test a 3 latent variable mediation model; each latent variable being measured by a set of indicators ranging between three and six. Mediation analysis results confirmed a partial mediation effect (an indirect effect represented as the product of paths 'a' and 'b' (a*b)) of 0.36 at 90% confidence level, CI = [0.03, 9.94]. Results from the individual mediation paths 'a' and 'b' however, showed that these effects were negative(a = -0.38, b = -0.94). Path 'a' represents the effect of characteristics of OBMs on the mediator, UsR; 'b' represents the effect of the mediator, UsR on implementation outcomes, ImO, holding OBMs constant. The results have both theoretical and practice implications for biomedical genomics research and clinical genomics, respectively. For instance, the results imply better ways have to be devised to more effectively engage the public in addressing extended family support for extended family cascade screening, especially for monogenic hereditary conditions like BRCA-related breast cancer and colorectal cancer in Lynch syndrome families. At basic biomedical research level, results suggest an integrated biomarker development pipeline, with early consideration of factors that may influence biomarker uptake. The results are also relevant at health systems level in indicating which factors should be addressed for successful.

Ethical challenges of precision cancer medicine

Amongst common diseases, cancer is often both a leader in self-regulatory policy, or the field for contentious ethical issues such as the patenting of the BRCA1/2 genes. With the advent of genomic sequencing technologies, achieving precision cancer medicine requires prospective norms due to the large and varied sources of data involved. Here, we discuss the ethical and legal aspects of the policy debate around the relevant topics in precision cancer medicine: the return of incidental findings and sequencing raw data to patients, the communication of genetic results to patients' relatives, privacy and communication risks with concomitant oversight strategies, patient participation and consent models. We present the arguments and empirical data supporting specific policy solutions delineating still contested areas. What type of consent and oversight are required to acquire genomic data or to access it where desired, either by the participant/patient or third-party researchers? Most of the raw sequencing data is still uninterpretable and the variants revealed subject to reinterpretation over time. No doubt the ethical challenges of precision cancer medicine are a prototype of what's to come for other diseases. They are also paradigmatic for regulatory and ethical questions of the translational endeavors since the two worlds - basic science and patient care - are governed by different ethical and legal principles that need to be reconciled in precision cancer medicine.

Roadmap for Establishing Large-Scale Genomic Medicine Initiatives in Low- and Middle-Income Countries

In the post-genomic era, genomic medicine interventions as a key component of personalized medicine and tailored-made health care are greatly anticipated following recent scientific and technological advances. Indeed, large-scale sequencing efforts that explore human genomic variation have been initiated in several, mostly developed, countries across the globe, such as the United States, the United Kingdom, and a few others. Here, we highlight the successful implementation of large-scale national genomic initiatives, namely the Genome of Greece (GoGreece) and the DNA do Brasil (DNABr), aiming to emphasize the importance of implementing such initiatives in developing countries. Based on this experience, we also provide a roadmap for replicating these projects in other low-resource settings, thereby bringing genomic medicine in these countries closer to clinical fruition.

Genetic testing offer for inherited neuromuscular diseases within the EURO-NMD reference network: A European survey study

The genetic diagnostics of inherited neuromuscular diseases (NMDs) is challenging due to their clinical and genetic heterogeneity. We launched an online survey within the EURO-NMD European Reference Network (ERN) to collect information about the availability/distribution of genetic testing across 61 ERN health care providers (HCPs). A 17 items questionnaire was designed to address methods used, the number of genetic tests available, the clinical pathway to access genetic testing, the use of next-generation sequencing (NGS) and participation to quality assessment schemes (QAs). A remarkable number of HCPs (49%) offers ≥ 500 genetic tests per year, 43,6% offers 100-500 genetic tests per year, and 7,2% ≤ 100 per year. NGS is used by 94% of centres, Sanger sequencing by 84%, MLPA by 66% and Southern blotting by 36%. The majority of centres (60%) offer NGS for all patients that fulfil criteria for NMD of genetic origin. Pipelines for NGS vary amongst centres, even within the same national system. Referral of patients to genetic laboratories by specialists was frequently reported (58%), and 65% of centres participates in genetic testing QAs. We specifically evaluated how many centres cover SMA, DMD, Pompe, LGMDs, and TTR genes/diseases genetic diagnosis, since these rare diseases benefit from personalised therapies. We used the Orphanet EUGT numbers, provided by 82% of HCPs. SMA, DMD, LGMD, TTR and GAA genes are covered by EUGTs although with different numbers and modalities. The number of genetic tests for NMDs offered across HCPs National Health systems is quite high, including routine techniques and NGS. The number and type of tests offered and the clinical practices differ among centres. We provided evidence that survey tools might be useful to learn about the state-of-the-art of ERN health-related activities and to foster harmonisation and standardisation of the complex care for the rare disease patients in the EU.

An empirical study investigating the user acceptance of a virtual conversational agent interface for family health history collection among the geriatric population

Critical for the early diagnosis of genetic disorders, a Family Health History (FHx) can be collected in several ways including electronic FHx tools, which aid easy editing and sharing by linking with other information management portals. The user acceptance of such systems is critical, especially among older adults experiencing motor and cognitive issues. This study investigated two types of FHx interfaces, standard and Virtual Conversational Agent (VCA), using 30 young (between 18 and 30) and 24 older participants (over 60). Workload, usability and performance data were collected. Even though participants required less time to complete three of five tasks on the standard interface, the VCA interface performed better in terms of subjective workload and usability. Additionally, 67% of the older adults preferred the VCA interface since it provided context-based guidance during the data collection process. The results from this study have implications for the use of virtual assistants in FHx and other areas of data collection.

The NHGRI Short Course in Genomics: energizing genetics and genomics education in classrooms through direct engagement between educators and scientists

Purpose:

The National Human Genome Research Institute (NHGRI) at the National Institutes of Health (NIH) recognizes an urgent need for educator resources on cutting-edge scientific topics due to increased public interest in genetics and genomics. We developed a Short Course in Genomics (“Short Course”) to inspire new teaching materials through collaborative course development sessions and lectures, to expand access to cutting-edge scientific information, and to provide a framework to consider when crafting new coursework related to scientific education.

Methods:

We compared publicly available participant data from 2015 to 2019 to data from the National Center for Education Statistics to assess our progress in serving diverse educator and student populations. We also evaluated course agendas and interviewed participants and instructors.

Results:

Middle School, High School, Community College, and Tribal College course attendees from the last five years were more likely to teach students from diverse communities underrepresented in STEM. Both attendees and Short Course instructors emphasized the importance of bidirectional learning through interactive curriculum development.

Conclusions:

This course has the potential to facilitate the engagement of educators and students at all levels, recruit and maintain a diverse STEM workforce, and improve genomic literacy and future health decision-making.

Race, Trust in Doctors, Privacy Concerns, and Consent Preferences for Biobanks

This study investigates how patients' privacy concerns about research uses of biospecimen and trust in doctors are associated with their preferences for informed consent and need for control over biospecimens in a biobank. Particularly, this study focuses on the perspectives of Communication Privacy Management theory, precision medicine, and racial health disparities. We recruited 358 women aged 40 and older stratified by race (56% African American and 44% European American). Multivariable linear regression models examined hypothesis and research questions. Individuals' privacy concerns and trust in doctors were significantly associated with their need for control. Although participants' privacy concerns were positively associated with their preference for study-specific model, trust in doctors had no effect on the preference. African American participants needed more control over their sample and were more likely to prefer study-specific model compared to European American participants. Significant interactions by race on the associations between trust and need for control and between privacy concerns and preference for study-specific model were found. These findings suggest that when developing large diverse biobanks for future studies it is important to consider privacy concerns, trust, and need for control with an understanding that there are differences in preferences by race.

Patterns of Cystatin C Uptake and Use Across and Within Hospitals

OBJECTIVE

To characterize the use of cystatin C (cysC) across and within hospitals.

PATIENTS AND METHODS

This 2-part study first evaluated access to cysC testing across 129 hospitals in the state of Minnesota, using a telephone-based survey. Second, granular data from a single center (Mayo Clinic) with on-site, rapid-turnaround testing (<1 day) and automated estimated glomerular filtration rate (eGFR) reporting was used to describe temporal patterns. The characteristics of hospitals that offered cysC testing and of patients who underwent rapid cysC testing at Mayo Clinic between January 1, 2011, and March 31, 2018, were described. Poisson regression analyzed temporal trends in cysC testing.

RESULTS

Of the 114 hospitals (88%) that responded to the statewide survey, cysC was available in 91 (80%), but only 3 of 91 (3%) reported a turnaround time of <1 day. At Mayo Clinic, cysC use increased from 0.74 tests per 1000 patient-days in 2011 to 14 tests per 1000 patient-days in 2018 (P=.004). Of the 3774 patients with cysC tests, the mean first available eGFR was 46 mL/min per 1.73 m2 using cysC and 59 mL/min per 1.73 m2 using serum creatinine (P<.001). CysC testing was used across all intensities of care and was ordered by a variety of specialties. Nephrology was consulted in only 42% of cases.

CONCLUSION

In the hospital, rapid-turnaround cysC testing is necessary for practical use but was not widely available in Minnesota. When available, a marked increase in cysC testing was observed over the study timeframe. Additional research is needed to determine optimal strategies for implementation of cysC within hospitals.

Workflow for the Implementation of Precision Genomics in Healthcare

To enable the implementation of precise genomics in a local healthcare system, we devised a pipeline for filtering and reporting of relevant genetic information to healthy individuals based on exome or genome data. In our analytical pipeline, the first tier of filtering is variant-centric, and it is based on the selection of annotated pathogenic, protective, risk factor, and drug response variants, and their one-by-one detailed evaluation. This is followed by a second-tier gene-centric deconstruction and filtering of virtual gene lists associated with diseases, and VUS-centric filtering according to ACMG pathogenicity criteria and pre-defined deleteriousness criteria. By applying this filtering protocol, we were able to provide valuable insights regarding the carrier status, pharmacogenetic profile, actionable cardiovascular and cancer predispositions, and potentially pathogenic variants of unknown significance to our patients. Our experience demonstrates that genomic profiling can be implemented into routine healthcare and provide information of medical significance.

Development of Customizable Implementation Guides to Support Clinical Adoption of Pharmacogenomics: Experiences of the Implementing GeNomics In pracTicE (IGNITE) Network

Introduction

Clinical adoption of genomic medicine has lagged behind the pace of scientific discovery. Practice-based resources can help overcome implementation challenges.

Methods

In 2015, the IGNITE (Implementing GeNomics In pracTicE) Network created an online genomic medicine implementation resource toolbox that was expanded in 2017 to incorporate the ability for users to create targeted implementation guides. This expansion was led by a multidisciplinary team that developed an evidence-based, structured framework for the guides, oversaw the technical process/build, and pilot tested the first guide, CYP2C19-Clopidogrel Testing Implementation.

Results

Sixty-five resources were collected from 12 institutions and categorized according to a seven-step implementation framework for the pilot CYP2C19-Clopidogrel Testing Implementation Guide. Five months after its launch, 96 CYP2C19-Clopidogrel Testing Implementation Guides had been created. Eighty percent of the resources most frequently selected by users were created by IGNITE to fill an identified resource gap. Resources most often included in guides were from the test reimbursement (22%), Implementation support gathering (22%), EHR integration (17%), and genetic testing workflow steps (17%).

Conclusion

Lessons learned from this implementation guide development process provide insight for prioritizing development of future resources and support the value of collaborative efforts to create resources for genomic medicine implementation.

Pharmacogenomics and Pharmacogenetics in Osteosarcoma: Translational Studies and Clinical Impact

High-grade osteosarcoma (HGOS) is a very aggressive bone tumor which primarily affects adolescents and young adults. Although not advanced as is the case for other cancers, pharmacogenetic and pharmacogenomic studies applied to HGOS have been providing hope for an improved understanding of the biology and the identification of genetic biomarkers, which may impact on clinical care management. Recent developments of pharmacogenetics and pharmacogenomics in HGOS are expected to: i) highlight genetic events that trigger oncogenesis or which may act as drivers of disease; ii) validate research models that best predict clinical behavior; and iii) indicate genetic biomarkers associated with clinical outcome (in terms of treatment response, survival probability and susceptibility to chemotherapy-related toxicities). The generated body of information may be translated to clinical settings, in order to improve both effectiveness and safety of conventional chemotherapy trials as well as to indicate new tailored treatment strategies. Here, we review and summarize the current scientific evidence for each of the aforementioned issues in view of possible clinical applications.

A Maturity Matrix for Nurse Leaders to Facilitate and Benchmark Progress in Genomic Healthcare Policy, Infrastructure, Education, and Delivery

Purpose:

Nurse leaders driving strategic integration of genomics across nursing need tools and resources to evaluate their environment, guide strategies to address deficits, and benchmark progress. We describe the development and pilot testing of a self-assessment maturity matrix (MM) that enables users to benchmark the current state of nursing genomic competency and integration for their country or nursing group; guides the development of a strategic course for improvement and implementation; and assesses change over time.

Design:

Mixed-methods participatory research and self-assessment.

Methods:

During a 3-day workshop involving nursing experts in health care and genomics, a genomic integration MM grid was built by consensus using iterative participatory methods. Data were analyzed using descriptive techniques. This work built on an online survey involving the same participants to identify the critical elements needed for “effective nursing which promotes health outcomes globally through genomics.”

Findings:

Experts from 19 countries across six continents and seven organizations participated in item development. The Assessment of Strategic Integration of Genomics across Nursing (ASIGN) MM incorporates 55 outcome-focused items serving as subscales for six critical success factors (CSFs): education and workforce; effective nursing practice; infrastructure and resources; collaboration and communication; public/patient involvement; policy and leadership. Users select their current circumstances for each item against a 5-point ordinal scale (precontemplation to leading). Nurses representing 17 countries undertook matrix pilot testing. Results demonstrate variation across CSFs, with many countries at the earliest stages of implementation.

Conclusions:

The MM has the potential to guide the strategic integration of genomics across nursing and enables additional assessments within and between countries to be made.

Clinical Relevance:

Nurse leadership and direction are essential to accelerate integration of genomics across nursing practice and education. The MM helps nurse leaders to benchmark progress and guide strategic planning to build global genomic nursing capacity.

Development of an implementation and evaluation strategy for the Australian 'Zero Childhood Cancer' (Zero) Program: a study protocol

INTRODUCTION

Effective implementation of a research Program requires an actionable plan to guide execution. To assess the actionability and success of that plan, both scientific and implementation elements must be taken into account. The aim of this study is to assess the 'Zero Childhood Cancer Personalised Medicine Program' (the Zero Program), an Australian first-ever and most comprehensive personalised medicine programme for children with high-risk or relapsed cancer, in terms of its structure, process and implementational effect.

METHODS AND ANALYSIS

We will assess Program delivery mechanisms. The development of the implementation and evaluation strategy will concentrate on the work of the Zero Program as a complex whole. This includes the structure of collaborative links across stakeholder groups involved in Program development and delivery, changes to collaborative relationships over time and the impact of group working on Program outcomes. We are applying a mixed-methods design including: a rapid ethnography (observations of stakeholder interactions and informal conversations), Program professionals' completion of a rapid health implementation proforma and a social network analysis. Formative evaluations of the implementation science effects, applying feedback techniques, for example, Formative Evaluation Feedback Loops and the Zero Program professionals' feedback, will determine where Program tailoring may be needed. A repeat of the social network analysis downstream will examine network changes over time, followed by an expert panel using the expert recommendations for implementing change to assess the integration of implementation strategies into the Program structure. A summative evaluation of the Program will bring the research elements together, leading to comprehensive data triangulation and determining the sustainability and implementational effects of Program delivery.

ETHICS AND DISSEMINATION

Ethical approval for this study has been granted by Hunter New England Research Ethics Committee, New South Wales, Australia (approval ref: 2019/ETH12025). Knowledge translation will be achieved through publications, reports and conference presentations to healthcare professionals, patients, families and researchers.

TRIAL REGISTRATION

NCT03336931; Pre-results.

Genetic services diffusion in the precision medicine ecosystem

Purpose

Genetic knowledge is advancing steadily while at the same time DNA sequencing prices are dropping fast, but the diffusion of genetic services (GS) has been slow. The purpose of this paper is to identify GS diffusion drivers in the precision medicine (PM) ecosystem.

Design/methodology/approach

After reviewing the literature on innovation diffusion, particularly on GS diffusion, the PM ecosystem actors are interviewed to obtain their perspective. Using content analysis, the interviewees’ visions were interplayed with the literature to achieve driver conceptualization, which posteriorly originated broad themes.

Findings

The results indicate that GS diffusion depends on satisfying aspects from three broad themes and respective drivers: technology (evidence strength and credibility, customization, knowledge, data and information, tech evolution speed and cost), human (ethics, privacy and security and user power) and business (prevention, holistic view of the individual, public policy and regulation, business model and management).

Practical implications

The main management implications refer to considering health care in a multidisciplinary way, investing in the propagation of genetic knowledge, standardizing medical records and interpreting data.

Originality/value

This study, to the best of authors’ knowledge, is the first attempt to understand GS diffusion from a broad perspective, taking into account the PM stakeholders’ view. The 13 drivers offer a comprehensive understanding of how GS could spread in health care and they can assist researchers and practitioners to discuss and set strategies based on an initial structured map.

The implementation of pharmacogenomics into UK general practice: a qualitative study exploring barriers, challenges and opportunities

Pharmacogenomics describes interpatient genetic variability in drug responses. Information based on whole genome sequencing will soon open up the field of pharmacogenomics and facilitate the use of genomic information relating to drug metabolism and drug responses. We undertook a qualitative study, aiming to explore the potential barriers, opportunities and challenges facing the implementation of pharmacogenomics into primary care. Semi-structured interviews were undertaken with 18 clinical participants (16 GPs and 2 other clinicians). All interviews were recorded and transcribed verbatim. Using a thematic analysis approach, data items were coded, ordered and themes constructed. Most participants were aged 55–60 years and worked as part-time clinical GPs with other clearly defined roles. The emerging themes covered several areas of concern, including the following: the utility of pharmacogenomics and the value of introducing such testing into primary care; how to educate the primary care workforce and ‘mainstream’ pharmacogenomics; the ethical, legal and social aspects of pharmacogenomics and its impact on patients; and potential impacts on the healthcare system particularly around economics and informatics. Most participants had concerns about pharmacogenomics and felt that there were a number of barriers and challenges to its implementation into routine primary care. Most striking were their concerns around the cost-effectiveness of using pharmacogenomics in primary care. At the same time most recognised the increasing availability of direct-to-consumer testing, and felt that this would drive the need to understand the ethical and social implications of using genomic information in primary care. This study has raised important issues that need to be considered when planning the implementation of pharmacogenomics into clinical practice. Prior to the implementation of genomic testing into day-to-day practice in UK primary care, it is important that considerations around education, cost-effectiveness and informatics are addressed, as well as the impact on patients.

How can Australia integrate routine genetic sequencing in oncology: a qualitative study through an implementation science lens

PURPOSE

This study sought to determine genetics and oncology specialists' views of integrating BRCA1 and BRCA2 testing in epithelial ovarian and breast cancer into routine practice.

METHODS

Qualitative interviews were designed using the Consolidated Framework for Implementation Research. Questions included experiences or views of the BRCA testing processes, implementation needs of oncology health professionals, perceived challenges, and future ideas for interventions to integrate genetic testing into oncology.

RESULTS

Twenty-two participants were interviewed from twelve health organizations and four themes were identified: (1) embracing the shift to mainstream genetic testing, with the majority of participants viewing BRCA testing as clinically useful and routine use important for maintaining a patient centered process; (2) the need for communication networks and role delineation to integrate routine genetic testing; (3) factors that influence sustaining routine genetic testing, including ongoing training, resources and funding, real-world adaptation, system complexity, and champions; and (4) variation in system interventions for integrating routine genetic testing align to organizational context.

CONCLUSION

Findings illustrate the need for integrating genetic testing into routine oncology, and that adaptation of interventions and processes is essential to sustain a feasible model. An understanding of individual and organizational implementation factors will help to prepare for future integration of routine genetic testing in other cancers.

The personal utility and uptake of genomic sequencing in pediatric and adult conditions: eliciting societal preferences with three discrete choice experiments

Purpose

To estimate the personal utility and uptake of genomic sequencing (GS) across pediatric and adult-onset genetic conditions.

Methods

Three discrete choice experiment (DCE) surveys were designed and administered to separate representative samples of the Australian public. Bayesian D-efficient explicit partial profile designs were used. Choice data were analyzed using a panel error component random parameter logit model.

Results

Overall, 1913 participants completed the pediatric (n = 533), symptomatic adult (n = 700) and at-risk adult (n = 680) surveys. The willingness-to-pay for GS information in pediatric conditions was estimated at $5470–$15,250 (US$3830–$10,675) depending on the benefits of genomic information. Uptake ranged between 60% and 81%. For symptomatic adults, the value of GS was estimated at $1573–$8102 (US$1100–$5671) and uptake at 34–82%. For at-risk adults, GS was valued at $2036–$5004 (US$1425–$3503) and uptake was predicted at 35–61%.

Conclusion

There is substantial personal utility in GS, particularly for pediatric conditions. Personal utility increased as the perceived benefits of genomic information increased. The clinical and regulatory context, and individuals’ sociodemographic and attitudinal characteristics influenced the value and uptake of GS. Society values highly the diagnostic, clinical, and nonclinical benefits of GS. The personal utility of GS should be considered in health-care decision-making.

Pharmacogenomics education in medical and pharmacy schools: conclusions of a global survey

Aim: The need for pharmacogenomic education is becoming more and more urgent. Our aim was to evaluate the progress in pharmacogenomics education since then, and to put forward further recommendations. Methods: A survey was sent to 248 schools of medicine, pharmacy, nursing and health professions around the world. Results: The majority of the study programs (87%) include pharmacogenomics education, which is generally taught as part of the pharmacology curriculum. On average, educators and teachers have selected appropriate and highly relevant pharmacogenomics biomarkers to include in their teaching programs. Conclusions: Based on the results, we can conclude that the state of pharmacogenomics education at the surveyed universities has improved substantially since 2005.

Genetic testing costs and compliance with clinical best practices

We sought to determine the costs of genetic testing and compliance with published guidelines and clinical best practices at our institution. A cost analysis was performed comparing the costs of ordered tests to the cost of the recommended testing. This was an approved quality improvement project at a tertiary teaching hospital in California. We identified charts associated with the genetic testing billing codes for common genetic tests through our contracted laboratory (cystic fibrosis genotyping, Breast cancer susceptibility gene (BRCA 1&2), Methylenetetrahydrofolate reductase (MTHFR), factor V Leiden (FVL), prothrombin gene pathogenic variant, alpha-thalassemia, hemochromatosis, and cell-free fetal DNA). Charts were reviewed retrospectively by a licensed, certified genetic counselor to assess the compliance with published clinical practice guidelines identified on GeneReviews and the American College of Obstetricians and Gynecologists (ACOG). Tests were classified as: appropriate, misordered/not indicated, misordered/false reassurance, and misordered/inadequate. We performed a cost analysis for the recommended test changes. We reviewed 114 charts over a three-month period. Forty-four (38.6%) of the tests were misordered based on published clinical practice guidelines: 24 (21%) were misordered/not indicated, 8 (7%) were misordered/false reassurance, and 12 (10.5%) were misordered/inadequate. Costs of ordered testing ($75,177) were compared to recommended testing after review ($54,265), with a total cost savings of $20,912. In clinical practice, over one-third of genetic tests reviewed were misordered. As these tests are a small fraction of all genetic tests at our institution, future studies should broaden the scope of testing evaluated to understand the magnitude of this problem and potential cost savings. Genetic counselor review and involvement in genetic test ordering can decrease inappropriate healthcare expenditures and improve patient care.

Returning Results in the Genomic Era: Initial Experiences of the eMERGE Network

A goal of the 3rd phase of the Electronic Medical Records and Genomics (eMERGE3) Network was to examine the return of results (RoR) of actionable variants in more than 100 genes to consenting participants and their healthcare providers. Each of the 10 eMERGE sites developed plans for three essential elements of the RoR process: Disclosure to the participant, notification of the health care provider, and integration of results into the electronic health record (EHR). Procedures and protocols around these three elements were adapted as appropriate to individual site requirements and limitations. Detailed information about the RoR procedures at each site was obtained through structured telephone interviews and follow-up surveys with the clinical investigator leading or participating in the RoR process at each eMERGE3 institution. Because RoR processes at each of the 10 sites allowed for taking into account differences in population, disease focus and institutional requirements, significant heterogeneity of process was identified, including variability in the order in which patients and clinicians were notified and results were placed in the EHR. This heterogeneity in the process flow for eMERGE3 RoR reflects the “real world” of genomic medicine in which RoR procedures must be shaped by the needs of the patients and institutional environments.

A Roadmap for Global Acceleration of Genomics Integration Across Nursing

PURPOSE

The changes needed to accelerate integration of genomics across nursing are complex, with significant challenges faced globally. Common themes lend themselves to a coordinated and collaborative strategic approach to sustained change. We aim to synthesize the outputs of a research program to present a roadmap for nursing leadership to guide integration of genomics across practice.

DESIGN

Mixed methods involving a purposive sample of global nursing leaders and nursing organizations in a sustained, highly interactive program.

METHODS

Experts in nursing, health care and healthcare services, policy, and leadership were recruited. Online surveys preceded a 3-day residential meeting utilizing participatory methods and techniques to gain consensus on the essential elements of a roadmap to promote genomics integration.

FINDINGS

Twenty-three leaders representing 19 countries and seven organizations participated overall. Data on the scope and status of nursing, genomics health care, and resources have been synthesized. Participants identified 117 facilitators to genomics integration across diverse sources. Barriers and priorities identified were mapped to the constructs of the Consolidated Framework for Implementation Research. The roadmap is underpinned by a maturity matrix created by participants to guide and benchmark progress in genomics integration.

CONCLUSIONS

Nurse leaders seeking to accelerate change can access practical guidance with the roadmap, underpinned by support through the Global Genomics Nursing Alliance and its strategic priorities.

CLINICAL RELEVANCE

Genomics is shaping the future of healthcare, but change is needed for integration across nursing. This practical roadmap, adaptable to local health systems and clinical and educational contexts, is relevant to nurse leaders aiming to accelerate change.

Cystatin C: A Primer for Pharmacists

Pharmacists are at the forefront of dosing and monitoring medications eliminated by or toxic to the kidney. To evaluate the effectiveness and safety of these medications, accurate measurement of kidney function is paramount. The mainstay of kidney assessment for drug dosing and monitoring is serum creatinine (SCr)-based estimation equations. Yet, SCr has known limitations including its insensitivity to underlying changes in kidney function and the numerous non-kidney factors that are incompletely accounted for in equations to estimate glomerular filtration rate (eGFR). Serum cystatin C (cysC) is a biomarker that can serve as an adjunct or alternative to SCr to evaluate kidney function for drug dosing. Pharmacists must be educated about the strengths and limitations of cysC prior to applying it to medication management. Not all patient populations have been studied and some evaluations demonstrated large variations in the relationship between cysC and GFR. Use of eGFR equations incorporating cysC should be reserved for drug management in scenarios with demonstrated outcomes, including to improve pharmacodynamic target attainment for antibiotics or reduce drug toxicity. This article provides an overview of cysC, discusses evidence around its use in medication dosing and in special populations, and describes practical considerations for application and implementation.

Health Economics Tools and Precision Medicine: Opportunities and Challenges

Precision medicine - individualizing care for patients and addressing variations in treatment response - is likely to be important in improving the nation's health in a cost-effective manner. Despite this promise, widespread use of precision medicine, specifically genomic markers, in clinical care has been limited in practice to date. Lack of evidence, clear evidence thresholds, and reimbursement have been cited as major barriers. Health economics frameworks and tools can elucidate the effects of legal, regulatory, and reimbursement policies on the use of precision medicine while guiding research investments to enhance the appropriate use of precision medicine. Despite the capacity of economics to enhance the clinical and human impact of precision medicine, application of health economics to precision medicine has been limited - in part because precision medicine is a relatively new field - but also because precision medicine is complex, both in terms of its applications and implications throughout medicine and the healthcare system. The goals of this review are several-fold: (1) provide an overview of precision medicine and key policy challenges for the field; (2) explain the potential utility of economics methods in addressing these challenges; (3) describe recent research activities; and (4) summarize opportunities for cross-disciplinary research.

Preparing Medical Specialists for Genomic Medicine: Continuing Education Should Include Opportunities for Experiential Learning

With the demand for genomic investigations increasing, medical specialists will need to, and are beginning to, practice genomic medicine. The need for medical specialists from diverse specialties to be ready to appropriately practice genomic medicine is widely recognised, but existing studies focus on single specialties or clinical settings. We explored continuing education needs in genomic medicine of a wide range of medical specialists (excluding genetic specialists) from across Australia. Interviews were conducted with 86 medical specialists in Australia from diverse medical specialties. Inductive content analysis categorized participants by career stage and genomics experience. Themes related to education needs were identified through constant comparison and discussion between authors of emerging concepts. Our findings show that participants believe that experiential learning in genomic medicine is necessary to develop the confidence and skills needed for clinical care. The main themes reported are: tailoring of education to the specialty and the individual; peer interactions contextualizes knowledge; experience will aid in developing confidence and skills. In fact, avenues of gaining experience may result in increased engagement with continuing education in genomic medicine as specialists are exposed to relevant applications in their clinical practice. Participants affirmed the need for continuing education in genomic medicine but identified that it would need to be tailored to the specialty and the individual: one size does not fit all, so a multifaceted approached is needed. Participants infrequently attended formal continuing education in genomic medicine. More commonly, they reported experiential learning by observation, case-review or interacting with a "genomics champion" in their specialty, which contextualized their knowledge. Medical specialists anticipate that genomic medicine will become part of their practice which could lessen demand on the specialist genetic workforce. They expect to look to experts within their own medical specialty who have gained genomics expertise for specific and contextualized support as they develop the skills and confidence to practice genomic medicine. These findings highlight the need to include opportunities for experiential learning in continuing education. Concepts identified in these interviews can be tested with a larger sample of medical specialists to ascertain representativeness.

Genetic variability of serotonin pathway associated with schizophrenia onset, progression, and treatment

Schizophrenia (SZ) onset and treatment outcome have important genetic components, however individual genes do not have strong effects on SZ phenotype. Therefore, it is important to use the pathway-based approach and study metabolic and signaling pathways, such as dopaminergic and serotonergic. Serotonin pathway has an important role in brain signaling, nevertheless, its role in SZ is not as thoroughly examined as that of dopamine pathway. In this study, we reviewed serotonin pathway genes and genetic variations associated with SZ, including variations at DNA, RNA, and epigenetic level. We obtained 30 serotonin pathway genes from Kyoto encyclopedia of genes and genomes and used these genes for the literature review. We extracted 20 protein coding serotonin pathway genes with genetic variations associated with SZ onset, development, and treatment from 31 research papers. Genes associated with SZ are present on all levels of serotonin pathway: serotonin synthesis, transport, receptor binding, intracellular signaling, and reuptake; however, regulatory genes are poorly researched. We summarized common challenges of genetic association studies and presented some solutions. The analysis of reported serotonin pathway-SZ associations revealed lack of information about certain serotonin pathway genes potentially associated with SZ. Furthermore, it is becoming clear that interactions among serotonin pathway genes and their regulators may bring further knowledge about their involvement in SZ.

Pragmatic Trials in Genomic Medicine: The Integrating Pharmacogenetics In Clinical Care (I-PICC) Study

Pragmatic clinical trials (PCTs) have an established presence in clinical research and yet have only recently garnered attention within the landscape of genomic medicine. Using the PRagmatic-Explanatory Continuum Indicator Summary 2 (PRECIS-2) as a framework, this paper illustrates the application of PCT principles to The Integrating Pharmacogenetics In Clinical Care (I-PICC) Study, a trial of pharmacogenetic testing prior to statin initiation for cardiovascular disease prevention in primary care. The trial achieved high engagement with providers (85% enrolled of those approached) and enrolled a representative sample of participants for which statin therapy would be recommended. The I-PICC Study has a high level of pragmatism, which should enhance the generalizability of its findings. The PRECIS-2 may be useful in the design and evaluation of PCTs of genomic medicine interventions, contributing to the generation of evidence that can bridge the gap between genomics innovation and clinical adoption.

From Genetics to Genomics: Facing the Liability Implications in Clinical Care

Health care is transitioning from genetics to genomics, in which single-gene testing for diagnosis is being replaced by multi-gene panels, genome-wide sequencing, and other multi-genic tests for disease diagnosis, prediction, prognosis, and treatment. This health care transition is spurring a new set of increased or novel liability risks for health care providers and test laboratories. This article describes this transition in both medical care and liability, and addresses 11 areas of potential increased or novel liability risk, offering recommendations to both health care and legal actors to address and manage those liability risks.

A Centralized Approach for Practicing Genomic Medicine

Next-generation sequencing has revolutionized the diagnostic process, making broadscale testing affordable and applicable to almost all specialties; however, there remain several challenges in its widespread implementation. Barriers such as lack of infrastructure or expertise within local health systems and complex result interpretation or counseling make it harder for frontline clinicians to incorporate genomic testing in their existing workflow. The general population is more informed and interested in pursuing genetic testing, and this has been coupled with the increasing accessibility of direct-to-consumer testing. As a result of these changes, primary care physicians and nongenetics specialty providers find themselves seeing patients for whom genetic testing would be beneficial but managing genetic test results that are out of their scope of practice. In this report, we present a practical and centralized approach to providing genomic services through an independent, enterprise-wide clinical service model. We present 4 years of clinical experience, with >3400 referrals, toward designing and implementing the clinical service, maximizing resources, identifying barriers, and improving patient care. We provide a framework that can be implemented at other institutions to support and integrate genomic services across the enterprise.

Pharmacogenomics of Pain Management: The Impact of Specific Biological Polymorphisms on Drugs and Metabolism

PURPOSE OF REVIEW

Pain is multifactorial and complex, often with a genetic component. Pharmacogenomics is a relative new field, which allows for the development of a truly unique and personalized therapeutic approach in the treatment of pain.

RECENT FINDINGS

Until recently, drug mechanisms in humans were determined by testing that drug in a population and calculating response averages. However, some patients will inevitably fall outside of those averages, and it is nearly impossible to predict who those outliers might be. Pharmacogenetics considers a patient's unique genetic information and allows for anticipation of that individual's response to medication. Pharmacogenomic testing is steadily making progress in the management of pain by being able to identify individual differences in the perception of pain and susceptibility and sensitivity to drugs based on genetic markers. This has a huge potential to increase efficacy and reduce the incidence of iatrogenic drug dependence and addiction. The streamlining of relevant polymorphisms of genes encoding receptors, transporters, and drug-metabolizing enzymes influencing the pain phenotype can be an important guide to develop safe new strategies and approaches to personalized pain management. Additionally, some challenges still prevail and preclude adoption of pharmacogenomic testing universally. These include lack of knowledge about pharmacogenomic testing, inadequate standardization of the process of data handling, questionable benefits about the clinical and financial aspects of pharmacogenomic testing-guided therapy, discrepancies in clinical evidence supporting these tests, and doubtful reimbursement of the tests by health insurance agencies.

Clinical genomic testing: what matters to key stakeholders?

Beyond a narrow focus on cost and outcomes, robust evidence of what is valued in genomic medicine is scarce. We gathered views on value from key stakeholders (clinical genomic staff, operational genomic staff and community representatives) in relation to three testing contexts (General Healthcare, Acute Care and Neurodevelopmental Conditions). We conducted an iterative focus group in three stages over a week using a multiphase mixed methods study, i.e. quantitative ratings and qualitative discussion. For each testing context, the characteristics of genomic testing were generated and ranked by the group using a co-productive approach. Up to 17 characteristics were identified in one scenario with several characteristics featuring in all three testing contexts. The likelihood of getting an answer was consistently reported as most highly valued, followed by the potential for the test to impact on clinical management (or wellbeing/health for Neurodevelopmental Conditions). Risk of discrimination did not feature highly across the different settings (and not at all in Acute Care). While cost was an issue in the general health setting, it was one of the least-valued characteristics in the other two testing contexts. In conclusion, co-producing an understanding of what is valued in different testing contexts, and identifying the areas of differences or commonalities, is important to maximise value provision and inform future policy to ensure that clinical genomic services meet the needs of the community and service providers.

Pharmacogenomic genotypes define genetic ancestry in patients and enable population-specific genomic implementation

The importance of genetic ancestry characterization is increasing in genomic implementation efforts, and clinical pharmacogenomic guidelines are being published that include population-specific recommendations. Our aim was to test the ability of focused clinical pharmacogenomic SNP panels to estimate individual genetic ancestry (IGA) and implement population-specific pharmacogenomic clinical decision-support (CDS) tools. Principle components and STRUCTURE were utilized to assess differences in genetic composition and estimate IGA among 1572 individuals from 1000 Genomes, two independent cohorts of Caucasians and African Americans (AAs), plus a real-world validation population of patients undergoing pharmacogenomic genotyping. We found that clinical pharmacogenomic SNP panels accurately estimate IGA compared to genome-wide genotyping and identify AAs with ≥70 African ancestry (sensitivity >82%, specificity >80%, PPV >95%, NPV >47%). We also validated a new AA-specific warfarin dosing algorithm for patients with ≥70% African ancestry and implemented it at our institution as a novel CDS tool. Consideration of IGA to develop an institutional CDS tool was accomplished to enable population-specific pharmacogenomic guidance at the point-of-care. These capabilities were immediately applied for guidance of warfarin dosing in AAs versus Caucasians, but also provide a real-world model that can be extended to other populations and drugs as actionable genomic evidence accumulates.