Evidence-Based Assessment of Congenital Heart Disease Genes to Enable Returning Results in a Genomic Study.

BACKGROUND: Congenital heart disease (CHD) is the most common major congenital anomaly and causes significant morbidity and mortality. Epidemiologic evidence supports a role of genetics in the development of CHD. Genetic diagnoses can inform prognosis and clinical management. However, genetic testing is not standardized among individuals with CHD. We sought to develop a list of validated CHD genes using established methods and to evaluate the process of returning genetic results to research participants in a large genomic study. METHODS: Two-hundred ninety-five candidate CHD genes were evaluated using a ClinGen framework. Sequence and copy number variants involving genes in the CHD gene list were analyzed in Pediatric Cardiac Genomics Consortium participants. Pathogenic/likely pathogenic results were confirmed on a new sample in a clinical laboratory improvement amendments-certified laboratory and disclosed to eligible participants. Adult probands and parents of probands who received results were asked to complete a post-disclosure survey. RESULTS: A total of 99 genes had a strong or definitive clinical validity classification. Diagnostic yields for copy number variants and exome sequencing were 1.8% and 3.8%, respectively. Thirty-one probands completed clinical laboratory improvement amendments-confirmation and received results. Participants who completed postdisclosure surveys reported high personal utility and no decision regret after receiving genetic results. CONCLUSIONS: The application of ClinGen criteria to CHD candidate genes yielded a list that can be used to interpret clinical genetic testing for CHD. Applying this gene list to one of the largest research cohorts of CHD participants provides a lower bound for the yield of genetic testing in CHD.

Measuring quality and value in genetic counseling: The current landscape and future directions.

Genetic counselors strive to provide high-quality genetic services. To do so, it is essential to define quality in genetic counseling and identify opportunities for improvement. This Professional Issues article provides an overview of the evaluation of healthcare quality in genetic counseling. The National Society of Genetic Counselors' Research, Quality, and Outcomes Committee partnered with Discern Health, a value-based healthcare policy consulting firm, to develop a care continuum model of genetic counseling. Using the proposed model, currently available quality measures relevant to genetic counseling in the US healthcare system were assessed, allowing for the identification of gaps and priority areas for further development. A total of 560 quality measures were identified that can be applied to various aspects of the care continuum model across a range of clinical specialty areas in genetic counseling, although few measures were specific to genetic counseling or genetic conditions. Areas where quality measures were lacking included: attitudes toward genetic testing, family communication, stigma, and issues of justice, equity, diversity, and inclusion. We discuss these findings and other strategies for an evidence-based approach to quality in genetic counseling. Strategic directions for the genetic counseling profession should include a consolidated approach to research on quality and value of genetic counseling, development of quality metrics and patient-experience measures, and engagement with other improvement activities. These strategies will allow for benchmarking, performance improvement, and future implementation in accountability programs which will strengthen genetic counseling as a profession that provides evidence-based high-quality care to all patients.

A qualitative study of Latinx parents' experiences of clinical exome sequencing.

Clinical exome sequencing (CES) is an established method for genetic diagnosis and is used widely in clinical practice. Studies of the parental experience of CES, which inform guidelines for best practices for genetic counseling, have been predominately comprised of White, non-Latinx participants. The aim of this study was to explore the parental experiences of CES in a Latinx community and to understand how their experiences are influenced by culture and language. We conducted semi-structured interviews in English and Spanish with 38 Latinx parents of children who had CES. Some of the themes that emerged were common to those previously identified, including a sense of obligation to pursue testing and a mixed emotional response to their child's results. Parents who had lower education level and/or received care from a provider who did not share their language had more confusion about their child's CES results and greater dissatisfaction with care compared with parents who had higher education level and/or received care from a provider who spoke their language. We also found evidence of hampered shared decision making and/or disempowered patient decision making regarding CES testing. Our data suggest unique needs for Latinx families having CES, particularly those who are non-English speaking when an interpreter is used. Our data support the value in continuing to take steps to improve culturally competent care by improving interpretation services and recruiting and training a genetic workforce that is ethnically, linguistically, and culturally diverse.

Correction: Evaluation of the cost and effectiveness of diverse recruitment methods for a genetic screening study.

The original version of this Article contained an error in the undergraduate degree awarded to the author Ian Halim, which was incorrectly given as BS. This has now been corrected to BA in both the PDF and HTML versions of the Article.

Evaluation of the cost and effectiveness of diverse recruitment methods for a genetic screening study.

PURPOSE: Recruitment of participants from diverse backgrounds is crucial to the generalizability of genetic research, but has proven challenging. We retrospectively evaluated recruitment methods used for a study on return of genetic results. METHODS: The costs of study design, development, and participant enrollment were calculated, and the characteristics of the participants enrolled through the seven recruitment methods were examined. RESULTS: A total of 1118 participants provided consent, a blood sample, and questionnaire data. The estimated cost across recruitment methods ranged from $579 to $1666 per participant and required a large recruitment team. Recruitment methods using flyers and staff networks were the most cost-efficient and resulted in the highest completion rate. Targeted sampling that emphasized the importance of Latino/a participation, utilization of translated materials, and in-person recruitments contributed to enrolling a demographically diverse sample. CONCLUSIONS: Although all methods were deployed in the same hospital or neighborhood and shared the same staff, each recruitment method was different in terms of cost and characteristics of the enrolled participants, suggesting the importance of carefully choosing the recruitment methods based on the desired composition of the final study sample. This analysis provides information about the effectiveness and cost of different methods to recruit adults for genetic research.

User engagement with web-based genomics education videos and implications for designing scalable patient education materials.

Genomic medicine has created an urgent need for scalable genomic education. One promising approach is self-guided learning platforms. Understanding how these platforms are used is critical to guide their effective development and implementation. This study contributes a log-based method to study user engagement with online genomic educational videos among participants in a genomic screening study. We collected baseline demographics, logged participant usage and compared pre- and post-education genomic knowledge. Participants (N=390) who chose website access differed from those who declined access (N=81) and were more likely to be non-Latino, English speaking, younger, and have higher educational attainment. Only 45% who accessed the website viewed at least one video. The average video exposure time was 12 minutes. Longer exposure was not associated with an improvement in the user's genomic knowledge. Our study and future studies of user analytics should be used to guide the development of effective, scalable genomic education methods.