Counselees’ Perspectives of Genomic Counseling Following Online Receipt of Multiple Actionable Complex Disease and Pharmacogenomic Results: a Qualitative Research Study

Genomic applications raise multiple challenges including the optimization of genomic counseling (GC) services as part of the results delivery process. More information on patients’ motivations, preferences, and informational needs are essential to guide the development of new, more efficient practice delivery models that capitalize on the existing strengths of a limited genetic counseling workforce. Semi‐structured telephone interviews were conducted with a subset of counselees from the Coriell Personalized Medicine Collaborative following online receipt of multiple personalized genomic test reports. Participants previously had either in‐person GC (chronic disease cohort, n = 20; mean age 60 years) or telephone GC (community cohort, n = 31; mean age 46.8 years). Transcripts were analyzed using a Grounded Theory framework. Major themes that emerged from the interviews include 1) primary reasons for seeking GC were to clarify results, put results into perspective relative to other health‐related concerns, and to receive personalized recommendations; 2) there is need for a more participant driven approach in terms of mode of GC communication (in‐person, phone, video), and refining the counseling agenda pre‐session; and 3) there was strong interest in the option of follow up GC. By clarifying counselees’ expectations, views and desired outcomes, we have uncovered a need for a more participant‐driven GC model when potentially actionable genomic results are received online.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/146805/1/jgc40738.pd

Operationalizing the Reciprocal Engagement Model of Genetic Counseling Practice: a Framework for the Scalable Delivery of Genomic Counseling and Testing

With the advent of widespread genomic testing for diagnostic indications and disease risk assessment, there is increased need to optimize genetic counseling services to support the scalable delivery of precision medicine. Here, we describe how we operationalized the reciprocal engagement model of genetic counseling practice to develop a framework of counseling components and strategies for the delivery of genomic results. This framework was constructed based upon qualitative research with patients receiving genomic counseling following online receipt of potentially actionable complex disease and pharmacogenomics reports. Consultation with a transdisciplinary group of investigators, including practicing genetic counselors, was sought to ensure broad scope and applicability of these strategies for use with any large‐scale genomic testing effort. We preserve the provision of pre‐test education and informed consent as established in Mendelian/single‐gene disease genetic counseling practice. Following receipt of genomic results, patients are afforded the opportunity to tailor the counseling agenda by selecting the specific test results they wish to discuss, specifying questions for discussion, and indicating their preference for counseling modality. The genetic counselor uses these patient preferences to set the genomic counseling session and to personalize result communication and risk reduction recommendations. Tailored visual aids and result summary reports divide areas of risk (genetic variant, family history, lifestyle) for each disease to facilitate discussion of multiple disease risks. Post‐counseling, session summary reports are actively routed to both the patient and their physician team to encourage review and follow‐up. Given the breadth of genomic information potentially resulting from genomic testing, this framework is put forth as a starting point to meet the need for scalable genetic counseling services in the delivery of precision medicine.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/147027/1/jgc41111.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/147027/2/jgc41111-sup-0001.pd

A C-terminal skeletal muscle sodium channel mutation associated with myotonia disrupts fast inactivation

Missense mutations in the skeletal muscle sodium channel α-subunit gene (SCN4A) are associated with a group of clinically overlapping diseases caused by alterations in the excitability of the sarcolemma. Sodium channel defects may increase excitability and cause myotonic stiffness or may render fibres transiently inexcitable to produce periodic paralysis. A patient with cold-aggravated myotonia did not harbour any of the common SCN4A mutations. We therefore screened all 24 exons by denaturing high-performance liquid chromatography, followed by direct sequencing. Two novel missense changes were found with predicted amino acid substitutions: T323M in the DIS5-S6 loop and F1705I in the intracellular C-terminus. The functional impact of these substitutions was assessed by recording whole-cell Na(+) currents from transiently transfected HEK293 cells. T323M currents were indistinguishable from wild-type (WT). Fast inactivation was impaired for F1705I channels, as demonstrated by an 8.6-mV rightwards shift in voltage dependence and a two-fold slowing in the rate of inactivation. Recovery from fast inactivation was not altered, nor was there an increase in the persistent current after a 50- ms depolarization. Activation and slow inactivation were not appreciably affected. These data suggest that T323M is a benign polymorphism, whereas F1705I results in fast inactivation defects, which are often observed for myotonia. This is the first example of a C-terminal mutation in SCN4A associated with human disease. Like the cardiac disorders (long QT syndrome type 3 or Brugada syndrome) and generalized epilepsy with febrile seizures plus (GEFS+) associated with C-terminal mutations in other Na(V) channels, the primary effect of F1705I was a partial disruption of fast inactivation

Outcomes of a Randomized Controlled Trial of Genomic Counseling for Patients Receiving Personalized and Actionable Complex Disease Reports

There has been very limited study of patients with chronic disease receiving potentially actionable genomic based results or the utilization of genetic counselors in the online result delivery process. We conducted a randomized controlled trial on 199 patients with chronic disease each receiving eight personalized and actionable complex disease reports online. Primary study aims were to assess the impact of in‐person genomic counseling on 1) causal attribution of disease risk, 2) personal awareness of disease risk, and 3) perceived risk of developing a particular disease. Of 98 intervention arm participants (mean age = 57.8; 39% female) randomized for in‐person genomic counseling, 76 (78%) were seen. In contrast, control arm participants (n = 101; mean age = 58.5; 54% female) were initially not offered genomic counseling as part of the study protocol but were able to access in‐person genomic counseling, if they requested it, 3‐months post viewing of at least one test report and post‐completion of the study‐specific follow‐up survey. A total of 64 intervention arm and 59 control arm participants completed follow‐up survey measures. We found that participants receiving in‐person genomic counseling had enhanced objective understanding of the genetic variant risk contribution for multiple complex diseases. Genomic counseling was associated with lowered participant causal beliefs in genetic influence across all eight diseases, compared to control participants. Our findings also illustrate that for the majority of diseases under study, intervention arm participants believed they knew their genetic risk status better than control arm subjects. Disease risk was modified for the majority during genomic counseling, due to the assessment of more comprehensive family history. In conclusion, for patients receiving personalized and actionable genomic results through a web portal, genomic counseling enhanced their objective understanding of the genetic variant risk contribution to multiple common diseases. These results support the development of additional genomic counseling interventions to ensure a high level of patient comprehension and improve patient‐centered health outcomes.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/147048/1/jgc40980.pd

Common Genetic Risk for Melanoma Encourages Preventive Behavior Change

There is currently great interest in using genetic risk estimates for common disease in personalized healthcare. Here we assess melanoma risk-related preventive behavioral change in the context of the Coriell Personalized Medicine Collaborative (CPMC). As part of on-going reporting activities within the project, participants received a personalized risk assessment including information related to their own self-reported family history of melanoma and a genetic risk variant showing a moderate effect size (1.7, 3.0 respectively for heterozygous and homozygous individuals). Participants who opted to view their report were sent an optional outcome survey assessing risk perception and behavioral change in the months that followed. Participants that report family history risk, genetic risk, or both risk factors for melanoma were significantly more likely to increase skin cancer preventive behaviors when compared to participants with neither risk factor (ORs = 2.04, 2.79, 4.06 and p-values = 0.02, 2.86 × 10−5, 4.67 × 10−5, respectively), and we found the relationship between risk information and behavior to be partially mediated by anxiety. Genomic risk assessments appear to encourage positive behavioral change in a manner that is complementary to family history risk information and therefore may represent a useful addition to standard of care for melanoma prevention

Novel LMNA Mutations in Patients With Emery-Dreifuss Muscular Dystrophy and Functional Characterization of Four LMNA Mutations

International audienceMutations in <i>LMNA</i> cause a variety of diseases affecting striated muscle including autosomal-Emery-Dreifuss muscular dystrophy (EDMD), <i>LMNA</i>-associated congenital muscular dystrophy (L-CMD) and limb-girdle muscular dystrophy type 1B (LGMD1B). Here, we describe novel and recurrent <i>LMNA</i> mutations identified in 50 patients from the USA and Canada, which is the first report of the distribution of <i>LMNA</i> mutations from a large cohort outside Europe. This augments the number of <i>LMNA</i> mutations known to cause EDMD by 16.5%, equating to an increase of 5.9% in the total known <i>LMNA</i> mutations. Eight patients presented with p.R249W/Q or p.E358K mutations and an early onset EDMD phenotype: two mutations recently associated with L-CMD. Importantly, 15 mutations are novel and include eight missense mutations (p.R189P, p.F206L, p.S268P, p.S295P, p.E361K, p.G449D, p.L454P and p.W467R), three splice site mutations (c.IVS4+1G>A, c.IVS6-2A>G, c.IVS8+1G>A), one duplication/in frame insertion (p.R190dup), one deletion (p.Q355del) and two silent mutations (p.R119R and p.K270K). Analysis of 4 of our lamin A mutations showed that some caused nuclear deformations and lamin B re-distribution in a mutation specific manner. Together, this study significantly augments the number of EDMD patients on the database and describes 15 novel mutations that underlie EDMD, which will contribute to establishing genotype-phenotype correlations