Debating clinical utility

Beyond severity: utility as a criterion for setting the scope of RGCS

Reproductive genetic carrier screening (RGCS) allows prospective parents to identify and act upon their chances of having a child with a genetic condition. In deciding which genetic conditions to include in RGCS, severity is often used as a criterion. However, the concept is inherently complex, subjective and multidimensional, and determinations of severity will remain intractably contested. We propose the concept of utility as a criterion for setting the scope of RGCS, and put forward two central arguments for doing so. First, utility is a more appropriate and effective concept as it responds to context and makes an explicit connection between the purpose of RGCS and the value of information obtained for that purpose: namely, to facilitate reproductive decision-making. Utility comprises both clinical and personal utility, and varies according to the availability and accessibility of reproductive options, including pre-implantation genetic testing, prenatal genetic diagnosis, and termination of pregnancy. Second, there are ethical reasons for preferring utility over severity. Utility is a property of the information gleaned from RGCS, while severity is a property of a genetic condition or of an instance of this condition in a person. While consideration of the severity of genetic conditions is not lost when focusing on utility, the need to rely on value judgements regarding the quality of life of people who live with genetic conditions is circumvented. Therefore, utility should replace severity as justification for the inclusion of genetic conditions in RGCS programmes.

Policy-making and implementation for newborn bloodspot screening in Europe: a comparison between EURORDIS principles and UK practice

Newborn bloodspot screening (NBS) policy is a contentious area in Europe. Variation in the screening panels on offer, in the approach to evidence assessment and in the use of health economic modelling are some of the issues which are debated on the topic. In this paper we focus on a set of patient-driven principles for newborn screening published by EURORDIS and use these as a reference point for exploration and comparison with NBS policy development and screening practice in the UK. In doing so, we share UK practice; we note the UK is generally well aligned with many of the recommended principles, but we also discuss areas of controversy and challenges. Some of these, like 'actionability', will undoubtedly continue to be debated and may never reach consensus. For others, such as patient and public voice participation in newborn screening systems, there are opportunities to continue improving existing processes and developing new mechanisms for stakeholder participation. Screening bodies in other European countries should also compare their policy-making and implementation practices with the EURORDIS principles to stimulate further discussion on the challenges and opportunities of newborn screening and provide a cross-European baseline.

Clinical Utility of Patient-Reported Outcome Measures Used for Tendon and Nerve Transfers for Tetraplegia in New Zealand

Purpose

This study determines the clinical utility of patient-reported outcome measures used to measure outcomes of upper extremity (UE) reconstructive procedures in individuals with tetraplegia. The patient-reported outcome measures are the Canadian Occupational Performance Measure, the Capabilities of Upper Extremity Questionnaire (CUE-Q), and the Personal Wellbeing Index.

Methods

Retrospective data of 43 individuals with spinal cord injury (SCI) levels C4-C7 tetraplegia, and American Spinal Injury Association Impairment Scale grades A-D who had upper limb reconstructive surgery were reviewed. Participants were grouped according to their SCI level and resultant surgical procedures into higher SCI severity and lower SCI severity groups.

Results

The mean age of participants was 26.3 years (SD 13.4; range 13-64 years). The higher-severity SCI group required elbow and hand reconstruction surgery, whereas the lower-severity group only required hand reconstruction surgery. Important differences in Canadian Occupational Performance Measure priorities were identified between the higher and lower SCI severity groups. Question redundancy was evident with the CUE-Q. The self-report Personal Wellbeing Index captures the possible impacts of improved UE function on an individual's perceived sense of personal wellbeing.

Conclusions

In this patient-reported outcome measure analysis, we found that the level of impairment influences patient priorities. Functional measures ought to consider UE impairment and personal wellbeing as a construct in this population, given the demands of surgery.

Type of Study/Level of Evidence

Prognostic II.

How can we address the uncertainties regarding the potential clinical utility of polygenic score-based tests?

As common low penetrance variants associated with diseases are uncovered, attempts continue to be made to harness this knowledge for improving healthcare. Polygenic scores have been developed as the mechanism by which knowledge of common variants can be used to investigate genetic contributions to disease risk. They serve as a biomarker to provide an estimate of the genetic liability for a particular disease. Discussion continues as to whether polygenic scores are a useful biomarker and their readiness for incorporation into clinical and public health practice. In this paper, we investigate the key challenges that need to be addressed, in the description and assessment of the clinical utility of polygenic score-based tests for use in clinical and public health practice.

Framing the utility and potential pitfalls of relationship and identity DNA testing across United States immigration contexts

Genetic information is increasingly used at US border entry points, but the use of DNA in immigration contexts is not new. DNA testing for verification of identity or relationships for visa and asylum petitions began in the 1980s. Long-standing applications demonstrate both the utility and pitfalls of DNA testing in immigration contexts. Some of these pitfalls are shared with health-related contexts of DNA testing, but the power of government officials to deny immigration benefits, separate families, or make accusations of fraud among a vulnerable population elevates the potential harms, including stigmatization, discrimination, and coerced consent. We conducted semi-structured interviews with professional stakeholders on their understandings of the process of DNA testing, opinions on the role of DNA testing in immigration, and experiences with DNA applications in immigration. From the 22 interviews, we sourced 21 case examples involving DNA testing and supplemented these with 10 case examples provided by the study team. The 31 case examples capture instances of DNA testing for relationship or identity across five immigration contexts. Using the case examples, we developed three overarching utilities and six overarching pitfalls of DNA testing that apply across these immigration contexts. Our framework allows long-standing applications of DNA testing in immigration to inform stakeholders’ approaches to applications in new contexts. As the use of DNA data in immigration contexts expands, its implementation should recognize the utility of DNA data to both migrants and government while guarding against pitfalls that could undermine the human rights and dignity of a vulnerable population.

Conceptualization of utility in translational clinical genomics research

Prior to integration into clinical care, a novel medical innovation is typically assessed in terms of its balance of benefits and risks, often referred to as utility. Members of multidisciplinary research teams may conceptualize and assess utility in different ways, which has implications within the translational genomics community and for the evidence base upon which clinical guidelines groups and healthcare payers make decisions. Ambiguity in the conceptualization of utility in translational genomics research can lead to communication challenges within research teams and to study designs that do not meet stakeholder needs. We seek to address the ambiguity challenge by describing the conceptual understanding of utility and use of the term by scholars in the fields of philosophy, medicine, and the social sciences of decision psychology and health economics. We illustrate applications of each field's orientation to translational genomics research by using examples from the Clinical Sequencing Evidence-Generating Research (CSER) consortium, and we provide recommendations for increasing clarity and cohesion in future research. Given that different understandings of utility will align to a greater or lesser degree with important stakeholders' views, more precise use of the term can help researchers to better integrate multidisciplinary investigations and communicate with stakeholders.

Utility and Diversity: Challenges for Genomic Medicine

Genomic information is poised to play an increasing role in clinical care, extending beyond highly penetrant genetic conditions to less penetrant genotypes and common disorders. But with this shift, the question of clinical utility becomes a major challenge. A collaborative effort is necessary to determine the information needed to evaluate different uses of genomic information and then acquire that information. Another challenge must also be addressed if that process is to provide equitable benefits: the lack of diversity of genomic data. Current genomic knowledge comes primarily from populations of European descent, which poses the risk that most of the human population will be shortchanged when health benefits of genomics emerge. These two challenges have defined my career as a geneticist and have taught me that solutions must start with dialogue across disciplinary and social divides.

Multigene panel testing for hereditary breast and ovarian cancer in the province of Ontario

PURPOSE

The aim of this study was to determine the diagnostic yield of multigene panel testing among patients referred with hereditary breast and ovarian cancer (HBOC).

METHODS

Patients who met provincial eligibility criteria were tested at the Advanced Molecular Diagnostic Laboratory at Mount Sinai Hospital, Toronto. Gene sequencing and exon-level copy number variant (CNV) analysis was performed. The referring physician had the opportunity to choose between several different gene panels based on patient phenotype. Cases were included in the analysis based on personal and family history of cancer and the type of panel ordered.

RESULTS

3251 cases that received panel testing were included in this analysis. Overall, 9.1% (295) had a positive (pathogenic or likely pathogenic) result and 27.1% (882) had an inconclusive result (variant of uncertain significance). The genes with the highest prevalence of positive results were in BRCA2 (2.2%, 71/3235), BRCA1 (1.9%, 62/3235), and CHEK2 (1.4%, 40/2916). Of the positive cases, 9.8% (29) had a pathogenic or likely pathogenic variant in a gene associated with Lynch syndrome (MSH6, MSH2, MLH1, or PMS2).

CONCLUSIONS

Our overall positive yield is similar to that reported in the literature. The yield of inconclusive results was three times that of positive results. By testing more individuals in families with HBOC and through data-sharing efforts, the clinical significance of most variants may eventually be determined and panel testing for monogenic cancer predisposition syndromes will have greater utility.

'More than a box of puzzles': Understanding the parental experience of having a child with a rare genetic condition"

BACKGROUND

Chromosomal microarray (CMA) testing has been adopted as the first-tier diagnostic test for developmental disabilities. However, determining the clinical significance of the results is often complex. This qualitative study seeks to explore parental interpretation, adaption and coping in the context of ambiguous rare genetic findings in order to support parental adjustment and wellbeing.

METHODS

In-depth interviews were conducted with parents (n = 30) of children identified with a rare genetic chromosomal abnormality.

RESULTS

Three major themes were identified following a thematic analysis: 'Learning of the Genetic Diagnosis', "The Reality of the Rarity' and 'Beyond Genetics: The Child Takes Centre Stage'. Findings demonstrated that parental adjustment to their child's genetic results are mediated by several factors including child difficulties and stage of development, clinician communication, perception of genetics, intrinsic coping strategies, access to practical and emotional support as well as broader contextual experiences.

CONCLUSION

This study highlights the importance of considering the parental perspective in the context of genetic testing in clinical practice.

[Blood metabolome analysis for creating a digital image of a healthy person]

In the frame of the work, data on the implementation of metabolomics tests in medicine have been systematized. Based on the obtained data, a set of protocols was proposed, the sequential realization of which makes it possible to conduct a blood metabolome analysis for medical purposes. Using this analysis and the number of blood samples from healthy volunteers, a prototype of a healthy person's metabolomic image has been developed; it allows visually and digitally to assess the compliance of the human blood metabolome with the norm. At the same time, 99% of the metabolic processes reflected in the blood plasma are estimated. If abnormalities are detected, the metabolomic image allows to get the value of these deviations of metabolic processes in digital terms.

Genome Diagnostics: Novel Strategies for Measuring Value

Genetic testing technology is rapidly evolving with the growth of personalized medicine. While test evaluation typically relies on laboratory measures of performance, tests can be costly and analytically and ethically complex. A more fulsome consideration of value is warranted to inform adoption and appropriate use. Herein we describe a methodology for developing novel clinician- and patient-reported measures of clinical and personal utility, aiming to capture the informational value of genome diagnostic tests. Adhering to core measurement science principles and standards, our 4-step process includes (1) tool development through scoping reviews and stakeholder interviews and surveys; (2) tool validation through prospective cohort studies to establish construct validity, inter- and intra-rater reliability; (3) tool application using comparative effectiveness assessment to gauge the comparative value of different types of genetic tests; and (4) tool dissemination, leveraging existing partnerships with international stakeholders to spur additional validation studies, comparative effectiveness research, cost-effectiveness analysis, and evidence-informed policy. A scoping review of the clinical utility literature informed the development of a preliminary 25-item index. Qualitative interviews with 35 clinicians further informed the definition of our utility construct, item content, and item importance. Stakeholder surveys with 113 clinicians enabled further feedback on item content, importance, sensibility, response, and scoring options. An 18-item tool, the "Clinician-reported Genetic testing Utility InDEx" (C-GUIDE), is now undergoing validation, while development work on the patient-reported measure of utility is underway. A methodologically innovative approach to the development of stakeholder-informed and clinimetrically sound measures of value for personalized medicine tests will assist technology users and decision makers globally. DISCLOSURES: This work was supported by the Canadian Institutes of Health Research Operating Grant (#PJT-152880) and the PhRMA Foundation Challenge Award. Publication of the study methodology or findings generated therein was not contingent on the sponsor's approval or censorship of the manuscript. The authors have nothing to disclose. Results from this study were presented as a poster at the 40th Annual North American Meeting of the Society for Medical Decision Making; October 14, 2018; Montreal, QC; the Annual Meeting of the American Society of Human Genetics; October 18, 2018; San Diego, CA; and as an oral presentation at the Annual Meeting of the Canadian Association for Health Services and Policy Research; May 31, 2018; Montreal, QC.

Clinical Utility of Advanced Microbiology Testing Tools

Advanced microbiology technologies are rapidly changing our ability to diagnose infections, improve patient care, and enhance clinical workflow. These tools are increasing the breadth, depth, and speed of diagnostic data generated per patient, and testing is being moved closer to the patient through rapid diagnostic technologies, including point-of-care (POC) technologies.

Advanced microbiology technologies are rapidly changing our ability to diagnose infections, improve patient care, and enhance clinical workflow. These tools are increasing the breadth, depth, and speed of diagnostic data generated per patient, and testing is being moved closer to the patient through rapid diagnostic technologies, including point-of-care (POC) technologies. While select stakeholders have an appreciation of the value/importance of improvements in the microbial diagnostic field, there remains a disconnect between clinicians and some payers and hospital administrators in terms of understanding the potential clinical utility of these novel technologies. Therefore, a key challenge for the clinical microbiology community is to clearly articulate the value proposition of these technologies to encourage payers to cover and hospitals to adopt advanced microbiology tests. Specific guidance on how to define and demonstrate clinical utility would be valuable. Addressing this challenge will require alignment on this topic, not just by microbiologists but also by primary care and emergency room (ER) physicians, infectious disease specialists, pharmacists, hospital administrators, and government entities with an interest in public health. In this article, we discuss how to best conduct clinical studies to demonstrate and communicate clinical utility to payers and to set reasonable expectations for what diagnostic manufacturers should be required to demonstrate to support reimbursement from commercial payers and utilization by hospital systems.

The development of the Clinician-reported Genetic testing Utility InDEx (C-GUIDE): a novel strategy for measuring the clinical utility of genetic testing

Purpose

Clinical utility describes a genetic test’s value to patients, families, health-care providers, systems, or society. This study aims to define clinical utility from the perspective of clinicians and develop a novel outcome measure that operationalizes this concept.

Methods

Item selection for the Clinician-reported Genetic testing Utility InDEx (C-GUIDE) was informed by a scoping review of the literature. Item reduction was guided by qualitative and quantitative feedback from semistructured interviews and a cross-sectional survey of genetics and nongenetics specialists. Final item selection, index scoring, and structure were guided by feedback from an expert panel of genetics professionals.

Results

A review of 194 publications informed the selection of a preliminary set of 25 items. Feedback from 35 semistructured interviews, 113 surveys, and 11 expert panelists informed the content and wording of C-GUIDE’s final set of 18 items that reflect on the utility of testing related to diagnosis, management, and familial/psychosocial impact. C-GUIDE achieves content and face validity for use in a range of diagnostic genetic testing settings.

Conclusion

Work to establish reliability and construct validity is underway. C-GUIDE will be useful in comparative studies to generate policy-relevant evidence pertaining to the clinical utility of genetic testing across a range of settings.

Diagnostic exome sequencing in children: A survey of parental understanding, experience and psychological impact

Clinical exome sequencing (CES) is increasingly being used as an effective diagnostic tool in the field of pediatric genetics. We sought to evaluate the parental experience, understanding and psychological impact of CES by conducting a survey study of English-speaking parents of children who had diagnostic CES. Parents of 192 unique patients participated. The parent's interpretation of the child's result agreed with the clinician's interpretation in 79% of cases, with more frequent discordance when the clinician's interpretation was uncertain. The majority (79%) reported no regret with the decision to have CES. Most (65%) reported complete satisfaction with the genetic counseling experience, and satisfaction was positively associated with years of genetic counselor (GC) experience. The psychological impact of CES was greatest for parents of children with positive results and for parents with anxiety or depression. The results of this study are important for helping clinicians to prepare families for the possible results and variable psychological impact of CES. The frequency of parental misinterpretation of test results indicates the need for additional clarity in the communication of results. Finally, while the majority of patients were satisfied with their genetic counseling, satisfaction was lower for new GCs, suggesting a need for targeted GC training for genomic testing.

Primary care physician experiences with integrated pharmacogenomic testing in a community health system

Aim: To explore primary care physicians’ views of the utility and delivery of direct access to pharmacogenomics (PGx) testing in a community health system. Methods: This descriptive study assessed the perspectives of 15 healthcare providers utilizing qualitative individual interviews. Results: Three main themes emerged: perceived value and utility of PGx testing; challenges to implementation in practice; and provider as well as patient needs. Conclusion: While providers in this study viewed benefits of PGx testing as avoiding side effects, titrating doses more quickly, improving shared decision-making and providing psychological reassurance, challenges will need to be addressed such as privacy concerns, cost, insurance coverage and understanding the complexity of PGx test results.

Evidence for Treatment-by-Biomarker interaction for FDA-approved Oncology Drugs with Required Pharmacogenomic Biomarker Testing

For oncology drugs that were approved by the US Food and Drug Administration (FDA) and required pharmacogenomic biomarker testing, we describe 1) the use of enrichment (biomarker-positive patients) and a randomized controlled design by pre-approval trials and 2) the treatment-by-biomarker interaction. From the 137 drugs included in the FDA table, we selected the 22 oncology drugs with required genetic testing in their labels. These drugs corresponded to 35 approvals supported by 80 clinical studies included in the FDA medical officer reviews of efficacy. For two thirds of approvals (24/35, 69%), all clinical studies were restricted to biomarker-positive patients (enriched). Among the 11 remaining approvals with at least one non-enriched trial, for five approvals, the non-enriched studies were non-randomized. The treatment-by-biomarker interaction was statistically significant for three approvals and missing for two. Among the six approvals with a non-enriched randomized controlled trial, three featured a statistically significant treatment-by-biomarker interaction (p < 0.10), for an enhanced treatment effect in the biomarker-positive subgroup. For two thirds of FDA approvals of anticancer agents, the requirement for predictive biomarker testing was based on clinical development restricted to biomarker-positive patients. We found only few cases with clinical evidence that biomarker-negative patients would not benefit from treatment.

Parents' Attitudes toward Clinical Genetic Testing for Autism Spectrum Disorder-Data from a Norwegian Sample

Clinical genetic testing (CGT) of children with autism spectrum disorder (ASD) may have positive and negative effects. Knowledge about parents' attitudes is needed to ensure good involvement of caregivers, which is crucial for accurate diagnosis and effective clinical management. This study aimed to assess parents' attitudes toward CGT for ASD. Parent members of the Norwegian Autism Society were given a previously untested questionnaire and 1455 answered. Linear regression analyses were conducted to evaluate contribution of parent and child characteristics to attitude statements. Provided it could contribute to a casual explanation of their child's ASD, 76% would undergo CGT. If it would improve the possibilities for early interventions, 74% were positive to CGT. Between 49-67% agreed that CGT could have a negative impact on health insurance, increase their concern for the child's future and cause family conflicts. Parents against CGT (9%) were less optimistic regarding positive effects, but not more concerned with negative impacts. The severity of the children's ASD diagnosis had a weak positive association with parent's positive attitudes to CGT (p-values range from <0.001 to 0.975). Parents prefer that CGT is offered to those having a child with ASD (65%), when the child's development deviates from normal (48%), or before pregnancy (36%). A majority of the parents of children with ASD are positive to CGT due to possibilities for an etiological explanation.

Policy Making in Newborn Screening Needs a Structured and Transparent Approach

PURPOSE

Newborn bloodspot screening (NBS) programs have expanded significantly in the past years and are expected to expand further with the emergence of genetic technologies. Historically, NBS expansion has often occurred following ad hoc consideration of conditions, instead of a structured and transparent approach. In this review, we explore issues pertinent to NBS policy making, through the lens of the policy cycle: (a) agenda setting, (b) policy advice, (c) policy decision, (d) implementation, and (e) evaluation.

METHODS

A literature search was conducted to gather information on the elements specific to NBS and its policy making process.

RESULTS

The review highlighted two approaches to nominate a condition: a structured approach through horizon scanning; and an ad hoc process. For assessment of a condition, there was unanimous support for a robust process based on criteria. While the need to assess harms and benefits was a repeated theme in the articles, there is no agreed-upon threshold for benefit in decision-making. Furthermore, the literature was consistent in its recommendation for an overarching, independent, multidisciplinary group providing recommendations to government. An implementation plan focusing on the different levels on which NBS operates and the information needed on each level is essential for successful implementation. Continuously monitoring, and improving a program is vital, particularly following the implementation of screening for a new condition. An advisory committee could advise on implementation, development, review, modification, and cessation of (parts of) NBS.

CONCLUSION

The results highlight that there are a wave of issues facing NBS programs that policy makers must take into account when developing policy processes. What conditions to screen, and the technologies used in NBS, are both up for debate.

The OncoArray Consortium: A Network for Understanding the Genetic Architecture of Common Cancers

BACKGROUND

Common cancers develop through a multistep process often including inherited susceptibility. Collaboration among multiple institutions, and funding from multiple sources, has allowed the development of an inexpensive genotyping microarray, the OncoArray. The array includes a genome-wide backbone, comprising 230,000 SNPs tagging most common genetic variants, together with dense mapping of known susceptibility regions, rare variants from sequencing experiments, pharmacogenetic markers, and cancer-related traits.

METHODS

The OncoArray can be genotyped using a novel technology developed by Illumina to facilitate efficient genotyping. The consortium developed standard approaches for selecting SNPs for study, for quality control of markers, and for ancestry analysis. The array was genotyped at selected sites and with prespecified replicate samples to permit evaluation of genotyping accuracy among centers and by ethnic background.

RESULTS

The OncoArray consortium genotyped 447,705 samples. A total of 494,763 SNPs passed quality control steps with a sample success rate of 97% of the samples. Participating sites performed ancestry analysis using a common set of markers and a scoring algorithm based on principal components analysis.

CONCLUSIONS

Results from these analyses will enable researchers to identify new susceptibility loci, perform fine-mapping of new or known loci associated with either single or multiple cancers, assess the degree of overlap in cancer causation and pleiotropic effects of loci that have been identified for disease-specific risk, and jointly model genetic, environmental, and lifestyle-related exposures.

IMPACT

Ongoing analyses will shed light on etiology and risk assessment for many types of cancer. Cancer Epidemiol Biomarkers Prev; 26(1); 126-35. ©2016 AACR.

The Spectrum of Clinical Utilities in Molecular Pathology Testing Procedures for Inherited Conditions and Cancer: A Report of the Association for Molecular Pathology

Clinical utility describes the benefits of each laboratory test for that patient. Many stakeholders have adopted narrow definitions for the clinical utility of molecular testing as applied to targeted pharmacotherapy in oncology, regardless of the population tested or the purpose of the testing. This definition does not address all of the important applications of molecular diagnostic testing. Definitions consistent with a patient-centered approach emphasize and recognize that a clinical test result's utility depends on the context in which it is used and are particularly relevant to molecular diagnostic testing because of the nature of the information they provide. Debates surrounding levels and types of evidence needed to properly evaluate the clinical value of molecular diagnostics are increasingly important because the growing body of knowledge, stemming from the increase of genomic medicine, provides many new opportunities for molecular testing to improve health care. We address the challenges in defining the clinical utility of molecular diagnostics for inherited diseases or cancer and provide assessment recommendations. Starting with a modified analytic validity, clinical validity, clinical utility, and ethical, legal, and social implications model for addressing clinical utility of molecular diagnostics with a variety of testing purposes, we recommend promotion of patient-centered definitions of clinical utility that appropriately recognize the valuable contribution of molecular diagnostic testing to improve patient care.

Parents' perceptions of the usefulness of chromosomal microarray analysis for children with autism spectrum disorders

Clinical guidelines recommend chromosomal microarray analysis (CMA) for all children with autism spectrum disorders (ASDs). We explored the test's perceived usefulness among parents of children with ASD who had undergone CMA, and received a result categorized as pathogenic, variant of uncertain significance, or negative. Fifty-seven parents participated in a semi-structured telephone interview, and 50 also completed a survey. Most parents reported that CMA was helpful for their child and family. Major themes regarding perceived usefulness were: medical care, educational and behavioral interventions, causal explanation, information for family members, and advancing knowledge. Limits to utility, uncertainties and negative outcomes were also identified. Our findings highlight the importance of considering both health and non-health related utility in genomic testing.

Experiences and attitudes of residents regarding a community-based genome cohort study in Japan: a population-based, cross-sectional study

Background

Because of the rapid development in genomics, more research findings have emerged. However, the association between society and research results remains controversial. This article examines the experiences and attitudes of residents regarding a community-based genomic cohort study.

Methods

This study was conducted as a part of the health survey of the City Health Promotion section. At the conclusion of the first stage of the project, a self-administered questionnaire was mailed to a random sample of 2,500 residents in 2012.

Results

The response rate was 59 % (n = 1477/2500). The findings show that 70 % of males and 50 % of females knew nothing about the project. Females and elderly people were more likely to have knowledge of the study, indicating that self-rated understanding of the terminology is statistically associated with the level of awareness regarding the project. In addition, those who were aware of the project were also aware of the benefits of research utilizing genetic information, whereas unaware respondents, particularly males, believed that unexpected negative effects may occur. Those with higher self-rated understanding of the terminology and higher awareness of benefit of the research utilizing genetic information had more positive attitudes toward undergoing drug susceptibility genetic testing, indicating that the awareness of project in females and concerns toward genetic research are not statistically associated with the willingness to undergo.

Conclusions

This study suggests that a community-based genome cohort project helps raise awareness of benefit of genetic research and that knowledge, however, does not directly affect the willingness to participate in related activities, such as drug susceptibility genetic testing. Therefore, additional research that focuses on the circular relationship between risk and action must be conducted in the future.

Can genomic medicine improve financial sustainability of health systems?

Recent years have seen increased use of genomic technologies in a variety of research and clinical settings. Genomic medicine is not a cost-containment measure per se, but is viewed as having the potential to bend the healthcare cost curve. Currently, it is unknown how systematic adoption of genomic medicine in clinical practice will impact healthcare costs. This article discusses the potential economic impact of genomic medicine and the challenges that lie ahead.

The 3-I framework: a framework for developing public policies regarding pharmacogenomics (PGx) testing in Canada

The 3-I framework of analyzing the ideas, interests, and institutions around a topic has been used by political scientists to guide public policy development. In Canada, there is a lack of policy governing pharmacogenomics (PGx) testing compared to other developed nations. The goal of this study was to use the 3-I framework, a policy development tool, and apply it to PGx testing to identify and analyze areas where current policy is limited and challenges exist in bringing PGx testing into wide-spread clinical practice in Canada. A scoping review of the literature was conducted to determine the extent and challenges of PGx policy implementation at federal and provincial levels. Based on the 3-I analysis, contentious ideas related to PGx are (i) genetic discrimination, (ii) informed consent, (iii) the lack of knowledge about PGx in health care, (iv) the value of PGx testing, (v) the roles of health care workers in the coordination of PGx services, and (vi) confidentiality and privacy. The 3-I framework is a useful tool for policy makers, and applying it to PGx policy development is a new approach in Canadian genomics. Policy makers at every organizational level can use this analysis to help develop targeted PGx policies.

Genetic architecture of colorectal cancer

Colorectal cancer (CRC) is a complex disease that develops as a consequence of both genetic and environmental risk factors. A small proportion (3-5%) of cases arise from hereditary syndromes predisposing to early onset CRC as a result of mutations in over a dozen well defined genes. In contrast, CRC is predominantly a late onset 'sporadic' disease, developing in individuals with no obvious hereditary syndrome. In recent years, genome wide association studies have discovered that over 40 genetic regions are associated with weak effects on sporadic CRC, and it has been estimated that increasingly large genome wide scans will identify many additional novel genetic regions. Subsequent experimental validations have identified the causally related variant(s) in a limited number of these genetic regions. Further biological insight could be obtained through ethnically diverse study populations, larger genetic sequencing studies and development of higher throughput functional experiments. Along with inherited variation, integration of the tumour genome may shed light on the carcinogenic processes in CRC. In addition to summarising the genetic architecture of CRC, this review discusses genetic factors that modify environmental predictors of CRC, as well as examples of how genetic insight has improved clinical surveillance, prevention and treatment strategies. In summary, substantial progress has been made in uncovering the genetic architecture of CRC, and continued research efforts are expected to identify additional genetic risk factors that further our biological understanding of this disease. Subsequently these new insights will lead to improved treatment and prevention of colorectal cancer.

"Is It Worth Knowing?" Focus Group Participants' Perceived Utility of Genomic Preconception Carrier Screening

As genome sequencing technology advances, research is needed to guide decision-making about what results can or should be offered to patients in different clinical settings. We conducted three focus groups with individuals who had prior preconception genetic testing experience to explore perceived advantages and disadvantages of genome sequencing for preconception carrier screening, compared to usual care. Using a discussion guide, a trained qualitative moderator facilitated the audio-recorded focus groups. Sixteen individuals participated. Thematic analysis of transcripts started with a grounded approach and subsequently focused on participants’ perceptions of the value of genetic information. Analysis uncovered two orientations toward genomic preconception carrier screening: “certain” individuals desiring all possible screening information; and “hesitant” individuals who were more cautious about its value. Participants revealed valuable information about barriers to screening: fear/anxiety about results; concerns about the method of returning results; concerns about screening necessity; and concerns about partner participation. All participants recommended offering choice to patients to enhance the value of screening and reduce barriers. Overall, two groups of likely users of genome sequencing for preconception carrier screening demonstrated different perceptions of the advantages or disadvantages of screening, suggesting tailored approaches to education, consent, and counseling may be warranted with each group.

Warfarin pharmacogenomics: current best evidence

The utility of using genetic information to guide warfarin dosing has remained unclear based on prior observational studies and small clinical trials. Two larger trials of warfarin and one of the acenocoumarol and phenprocoumon have recently been published. The COAG trial addressed the incremental benefit of adding genetic information to clinical information and demonstrated no benefit from the pharmacogenetic-based dosing strategy on the primary outcome. The EU-PACT UK trial compared an algorithm approach using genetic and clinical information to one that used a relatively fixed starting dose. The pharmacogenetic-based algorithms improved the primary outcome. The study of acenocoumarol and phenprocoumon compared a pharmacogenetic with a clinical algorithm and demonstrated no benefit on the primary outcome. The evidence to date does not support an incremental benefit of adding genetic information to clinical information on anticoagulation control. However, compared with fixed dosing, a pharmacogenetic algorithm can improve anticoagulation control.

Evaluating stakeholder's perspective on referred out genetic testing in Canada: a discrete choice experiment

The expanding number and increasing utility of clinical genetic tests is creating a growing burden on the Canadian healthcare system. Administrators are faced with the challenge of determining which genetic tests should be publicly funded. A discrete choice experiment (DCE) was utilized to assess the importance stakeholders place on five attributes of a genetic test. One hundred ninety individuals completed the DCE questions. Analysis of the data revealed that medical benefit of a test had the greatest impact on a respondent's decision to select a test for funding. The detection rate of the test ranked second in importance followed by severity of the condition, aim of the test, and cost. With limited resources available for referred out molecular genetic testing within a public healthcare setting such as Canada's, funding guidelines are critical. Our findings provide further evidence for the value of a decision-making framework and the relative importance of specific test attributes within such a framework.

The Human Genome Project, and recent advances in personalized genomics

The language of “personalized medicine” and “personal genomics” has now entered the common lexicon. The idea of personalized medicine is the integration of genomic risk assessment alongside other clinical investigations. Consistent with this approach, testing is delivered by health care professionals who are not medical geneticists, and where results represent risks, as opposed to clinical diagnosis of disease, to be interpreted alongside the entirety of a patient’s health and medical data. In this review we consider the evidence concerning the application of such personalized genomics within the context of population screening, and potential implications that arise from this. We highlight two general approaches which illustrate potential uses of genomic information in screening. The first is a narrowly targeted approach in which genetic profiling is linked with standard population-based screening for diseases; the second is a broader targeting of variants associated with multiple single gene disorders, performed opportunistically on patients being investigated for unrelated conditions. In doing so we consider the organization and evaluation of tests and services, the challenge of interpretation with less targeted testing, professional confidence, barriers in practice, and education needs. We conclude by discussing several issues pertinent to health policy, namely: avoiding the conflation of genetics with biological determinism, resisting the “technological imperative”, due consideration of the organization of screening services, the need for professional education, as well as informed decision making and public understanding.

Evidence required to demonstrate clinical utility of pharmacogenetic testing: the debate continues

Pharmacogenetics is an area of research that has potential to greatly benefit patients. However, the routine use of diagnostic pharmacogenetic testing to inform treatment decisions is limited. Here we discuss the determination of clinical utility of pharmacogenetic testing and the level of evidence required to support translation into clinical practice.

The clinical utility of whole-exome sequencing in the context of rare diseases - the changing tides of medical practice

Whole-exome sequencing (WES) carries the potential to facilitate the identification of disease causing genes. This is particularly relevant concerning rare diseases, which proves particularly difficult for physicians to diagnose. However, the complexity of this technology renders its applicability onto the clinical setting uncertain. Our study thus aims to understand physicians' perspectives regarding the clinical utility of WES, particularly for providing a diagnosis for patients with rare diseases. Ten semi-structured interviews were conducted with physicians with experience and familiarity with WES, and the major themes that emerged from our interviews were (i) the relevance of WES in diagnosing patients with rare diseases (appropriateness); (ii) the cost-effectiveness of WES (accessibility), (iii) the practical issues related to the clinical implementation of WES (practicability); and (iv) ethical, legal and social issues (acceptability). Our study highlights how the clinical implementation of WES presents additional challenges where rare diseases are taken into consideration.

Living laboratory: whole-genome sequencing as a learning healthcare enterprise

With the proliferation of affordable large-scale human genomic data come profound and vexing questions about management of such data and their clinical uncertainty. These issues challenge the view that genomic research on human beings can (or should) be fully segregated from clinical genomics, either conceptually or practically. Here, we argue that the sharp distinction between clinical care and research is especially problematic in the context of large-scale genomic sequencing of people with suspected genetic conditions. Core goals of both enterprises (e.g. understanding genotype-phenotype relationships; generating an evidence base for genomic medicine) are more likely to be realized at a population scale if both those ordering and those undergoing sequencing for diagnostic reasons are routinely and longitudinally studied. Rather than relying on expensive and lengthy randomized clinical trials and meta-analyses, we propose leveraging nascent clinical-research hybrid frameworks into a broader, more permanent instantiation of exploratory medical sequencing. Such an investment could enlighten stakeholders about the real-life challenges posed by whole-genome sequencing, such as establishing the clinical actionability of genetic variants, returning 'off-target' results to families, developing effective service delivery models and monitoring long-term outcomes.

An assessment of Canadian systems for triaging referred out genetic testing

The field of genetics is evolving rapidly, significantly expanding the number of clinically useful genetic tests. The cost of genetic testing has created an increasing burden on public health care budgets. In Canada, funding bodies have responded by developing independent systems. Key individuals in each province and territory participated in a semi-structured interview regarding the process in their jurisdiction to approve funding for referred out genetic testing and their decision-making criteria. Two themes were identified: the importance of clinical utility in decision-making and the utilization of genetic specialists as gate keepers. Allocation of a specific budget appears to be associated with some fiscal responsibility. Collaboration between provincial and territorial bodies may lead to a more unified approach across Canada.

The economic value of personalized medicine tests: what we know and what we need to know

PURPOSE

There is uncertainty about when personalized medicine tests provide economic value. We assessed evidence on the economic value of personalized medicine tests and gaps in the evidence base.

METHODS

We created a unique evidence base by linking data on published cost-utility analyses from the Tufts Cost-Effectiveness Analysis Registry with data measuring test characteristics and reflecting where value analyses may be most needed: (i) tests currently available or in advanced development, (ii) tests for drugs with Food and Drug Administration labels with genetic information, (iii) tests with demonstrated or likely clinical utility, (iv) tests for conditions with high mortality, and (v) tests for conditions with high expenditures.

RESULTS

We identified 59 cost-utility analyses studies that examined personalized medicine tests (1998-2011). A majority (72%) of the cost/quality-adjusted life year ratios indicate that testing provides better health although at higher cost, with almost half of the ratios falling below $50,000 per quality-adjusted life year gained. One-fifth of the results indicate that tests may save money.

CONCLUSION

Many personalized medicine tests have been found to be relatively cost-effective, although fewer have been found to be cost saving, and many available or emerging medicine tests have not been evaluated. More evidence on value will be needed to inform decision making and assessment of genomic priorities.

A systematic review of clinimetric properties of measurements of motivation for children aged 5-16 years with a physical disability or motor delay

The purpose of this systematical review was to appraise the clinimetric properties of measures of motivation in children aged 5-16 years with a physical disability or motor delay. Six electronic databases were searched. Studies were included if they reported measuring motivation in school-aged children across occupational performance areas. Two reviewers independently identified measures from included articles. Evaluation of measures was completed using the COSMIN (consensus-based standards for the selection of health measurement instruments) checklist. A total of 13,529 papers were retrieved, 15 reporting measurement of motivation in this population. Two measures met criteria: Dimensions of Mastery Questionnaire (DMQ) and Pediatric Volitional Questionnaire (PVQ). There was evidence of adequate validity for DMQ, and preliminary evidence of test-retest reliability. Psychometric evidence for PVQ was poor. Both measures demonstrated good clinical utility. The large number of retrieved papers highlights the importance being attributed to motivation in clinical studies, although measurement is seldom performed. Both identified measures show promise but further psychometric research is required.

A pharmacogenetic versus a clinical algorithm for warfarin dosing

BACKGROUND

The clinical utility of genotype-guided (pharmacogenetically based) dosing of warfarin has been tested only in small clinical trials or observational studies, with equivocal results.

METHODS

We randomly assigned 1015 patients to receive doses of warfarin during the first 5 days of therapy that were determined according to a dosing algorithm that included both clinical variables and genotype data or to one that included clinical variables only. All patients and clinicians were unaware of the dose of warfarin during the first 4 weeks of therapy. The primary outcome was the percentage of time that the international normalized ratio (INR) was in the therapeutic range from day 4 or 5 through day 28 of therapy.

RESULTS

At 4 weeks, the mean percentage of time in the therapeutic range was 45.2% in the genotype-guided group and 45.4% in the clinically guided group (adjusted mean difference, [genotype-guided group minus clinically guided group], -0.2; 95% confidence interval, -3.4 to 3.1; P=0.91). There also was no significant between-group difference among patients with a predicted dose difference between the two algorithms of 1 mg per day or more. There was, however, a significant interaction between dosing strategy and race (P=0.003). Among black patients, the mean percentage of time in the therapeutic range was less in the genotype-guided group than in the clinically guided group. The rates of the combined outcome of any INR of 4 or more, major bleeding, or thromboembolism did not differ significantly according to dosing strategy.

CONCLUSIONS

Genotype-guided dosing of warfarin did not improve anticoagulation control during the first 4 weeks of therapy. (Funded by the National Heart, Lung, and Blood Institute and others; COAG ClinicalTrials.gov number, NCT00839657.).

The Electronic Medical Records and Genomics (eMERGE) Network: past, present, and future

The Electronic Medical Records and Genomics Network is a National Human Genome Research Institute–funded consortium engaged in the development of methods and best practices for using the electronic medical record as a tool for genomic research. Now in its sixth year and second funding cycle, and comprising nine research groups and a coordinating center, the network has played a major role in validating the concept that clinical data derived from electronic medical records can be used successfully for genomic research. Current work is advancing knowledge in multiple disciplines at the intersection of genomics and health-care informatics, particularly for electronic phenotyping, genome-wide association studies, genomic medicine implementation, and the ethical and regulatory issues associated with genomics research and returning results to study participants. Here, we describe the evolution, accomplishments, opportunities, and challenges of the network from its inception as a five-group consortium focused on genotype–phenotype associations for genomic discovery to its current form as a nine-group consortium pivoting toward the implementation of genomic medicine.

Genet Med15 10, 761–771.

Conveying genomic recurrence risk estimates to patients with early-stage breast cancer: oncologist perspectives

OBJECTIVE

The development and increased use of genomic profiling has led to refinement of breast cancer treatment. This study sought to examine medical and surgical oncologists' perceptions of factors related to the translation and integration of Oncotype DX® (Genomic Health, Inc., Redwood City, CA, USA) into routine clinical care.

METHODS

Twenty oncologists (10 medical and 10 surgical oncologists) participated in qualitative interviews. Questions centered on the following themes: oncologists' perceptions about the clinical utility of testing, the impact of patient preferences on the decision to test and use results to inform treatment decisions, methods of communicating risk associated with test results to patients, and benefits of and barriers to incorporating testing into multidisciplinary care settings.

RESULTS

Oncologists found Oncotype DX test results useful in their practice but had concerns as well. These included that some oncologists either used testing inappropriately or placed undue emphasis on the results at the expense of other clinical information. The use of intermediate test results, which have less clear clinical implications, incorporating results with patient treatment preferences, and the use of testing in multidisciplinary teams were noted as specific challenges.

CONCLUSION

Oncologists noted several benefits of testing and also many challenges, despite wide dissemination and common use. Education for health providers should include specific training in how to interpret and communicate the uncertainty inherent in genomic tests while integrating patient preferences to inform treatment decision making.

Predicting the cost and pace of pharmacogenomic advances: an evidence-based study

BACKGROUND

Adverse outcomes associated with prescription drug use are common and costly. Many adverse outcomes can be avoided through pharmacogenomics: choosing and dosing of existing drugs according to a person's genomic variants. Finding and validating associations between outcomes and genomic variants and developing guidelines for avoiding drug-related adverse outcomes will require further research; however, no data-driven estimates yet exist for the time or money required for completing this research.

METHODS

We identified examples of associations between adverse outcomes and genomic variants. We used these examples to estimate the time and money required to identify and confirm other associations, including the cost of failures, and to develop and validate pharmacogenomic dosing guidelines for them. We built a Monte Carlo model to estimate the time and financial costs required to cut the overall rate of drug-related adverse outcomes by meaningful amounts. We analyzed the model's predictions for a broad range of assumptions.

RESULTS AND CONCLUSIONS

Our model projected that the development of guidelines capable of cutting overall drug-related adverse outcomes by 25%-50% with current approaches will require investment of single-digit billions of dollars and take 20 years. The model forecasts a pump-priming phase of 5-7 years, which would require expenditures of hundreds of millions of dollars, with little apparent return on investment. The single most important parameter was the extent to which genomic variants cause adverse outcomes. The size of the labor force was not a limiting factor. A "50 000 Pharmacogenomes Project" could speed progress. Our approach provides a template for other areas of genomic research.

Health care providers and direct-to-consumer access and advertising of genetic testing in the United States

Marketing pressures, regulatory policies, clinical guidelines, and consumer demand all affect health care providers' knowledge and use of health-related genetic tests that are sold and/or advertised to consumers. In addition, clinical guidelines, regulatory policies, and educational efforts are needed to promote the informed use of genetic tests that are sold and advertised to consumers and health care providers. A shift in culture regarding the regulation of genetic tests that are sold directly to consumers is suggested: by recent actions taken by the US Food and Drug Administration (FDA), including letters sent to direct-to-consumer (DTC) genetic testing companies stating that their tests meet the definition of medical devices; by public meetings held by the FDA to discuss laboratory developed tests; and by the convening of the Molecular and Clinical Genetics Panel to gather input on scientific issues concerning DTC genetic tests that make medical claims. This review provides a brief overview of DTC advertising and the regulation of pharmaceuticals and genetic tests in the United States. It highlights recent changes in the regulatory culture regarding genetic tests that are sold to consumers, and discusses the impact on health care providers of selling and advertising genetic tests directly to consumers.

Integrating genetic studies of nicotine addiction into public health practice: stakeholder views on challenges, barriers and opportunities

OBJECTIVE

Will emerging genetic research strengthen tobacco control programs? In this empirical study, we interview stakeholders in tobacco control to illuminate debates about the role of genomics in public health.

METHODS

The authors performed open-ended interviews with 86 stakeholders from 5 areas of tobacco control: basic scientists, clinicians, tobacco prevention specialists, health payers, and pharmaceutical industry employees. Interviews were qualitatively analyzed using standard techniques.

RESULTS

The central tension is between the hope that an expanding genomic knowledge base will improve prevention and smoking cessation therapies and the fear that genetic research might siphon resources away from traditional and proven public health programs. While showing strong support for traditional public health approaches to tobacco control, stakeholders recognize weaknesses, specifically the difficulty of countering the powerful voice of the tobacco industry when mounting public campaigns and the problem of individuals who are resistant to treatment and continue smoking.

CONCLUSIONS

In order for genetic research to be effectively translated into efforts to minimize the harm of smoking-related disease, the views of key stakeholders must be voiced and disagreements reconciled. Effective translation requires honest evaluation of both the strengths and limitations of genetic approaches.

Physician liability: the next big thing for personalized medicine?

Liability is likely to be a major driver for the future direction and implementation of personalized medicine, spurring the adoption of genetic tests and other pharmacogenomic technologies, in some cases appropriately, and in other cases prematurely or as inefficient defensive medicine. While all entities in the personalized medicine chain will face liability risks, physicians will be at the greatest risk owing to their lack of defenses, limited experience in dealing with genetics and the growing disparities within the profession in implementing new medical technologies. The history of liability for genetic testing, primarily in the prenatal testing context, suggests that liability will often be both unpredictable and influential in changing medical practice. It is critical to anticipate and attempt to prevent such liability risks in a proactive manner so to minimize the disruptive impact that liability can cause.

Charting a course for genomic medicine from base pairs to bedside

There has been much progress in genomics in the ten years since a draft sequence of the human genome was published. Opportunities for understanding health and disease are now unprecedented, as advances in genomics are harnessed to obtain robust foundational knowledge about the structure and function of the human genome and about the genetic contributions to human health and disease. Here we articulate a 2011 vision for the future of genomics research and describe the path towards an era of genomic medicine.