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      The Return of Actionable Variants Empirical (RAVE) Study, a Mayo Clinic Genomic Medicine Implementation Study: Design and Initial Results

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          Abstract

          Objectives:

          To identify clinically actionable genetic variants from targeted sequencing of 68 disease-related genes, estimate their penetrance, and assess the impact of disclosing results to participants and providers.

          Patients and Methods:

          The Return of Actionable Variants Empirical (RAVE) Study investigates outcomes following the return of pathogenic/likely pathogenic (P/LP) variants in 68 disease-related genes. The study was initiated in December 2016 and is ongoing. Targeted sequencing was performed in 2533 individuals with hyperlipidemia or colon polyps. The electronic health records (EHRs) of participants carrying P/LP variants in 36 cardiovascular disease (CVD) genes were manually reviewed to ascertain the presence of relevant traits. Clinical outcomes, health care utilization, family communication, and ethical and psychosocial implications of disclosure of genomic results are being assessed by surveys, telephone interviews, and EHR review.

          Results:

          Of 29,208 variants in the 68 genes, 1915 were rare (frequency <1%) and putatively functional, and 102 of these (60 in 36 CVD genes) were labeled P/LP based on the American College of Medical Genetics and Genomics framework. Manual review of the EHRs of participants (n=73 with P/LP variants in CVD genes) revealed that 33 had the expected trait(s); however, only 6 of 45 participants with non–familial hypercholesterolemia (FH) P/LP variants had the expected traits.

          Conclusion:

          Expected traits were present in 13% of participants with P/LP variants in non-FH CVD genes, suggesting low penetrance; this estimate may change with additional testing performed as part of the clinical evaluation. Ongoing analyses of the RAVE Study will inform best practices for genomic medicine.

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          Most cited references26

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          InterVar: Clinical Interpretation of Genetic Variants by the 2015 ACMG-AMP Guidelines.

          In 2015, the American College of Medical Genetics and Genomics (ACMG) and the Association for Molecular Pathology (AMP) published updated standards and guidelines for the clinical interpretation of sequence variants with respect to human diseases on the basis of 28 criteria. However, variability between individual interpreters can be extensive because of reasons such as the different understandings of these guidelines and the lack of standard algorithms for implementing them, yet computational tools for semi-automated variant interpretation are not available. To address these problems, we propose a suite of methods for implementing these criteria and have developed a tool called InterVar to help human reviewers interpret the clinical significance of variants. InterVar can take a pre-annotated or VCF file as input and generate automated interpretation on 18 criteria. Furthermore, we have developed a companion web server, wInterVar, to enable user-friendly variant interpretation with an automated interpretation step and a manual adjustment step. These tools are especially useful for addressing severe congenital or very early-onset developmental disorders with high penetrance. Using results from a few published sequencing studies, we demonstrate the utility of InterVar in significantly reducing the time to interpret the clinical significance of sequence variants.
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            Measures of perceived social support from friends and from family: three validation studies.

            Three studies are described in which measures of perceived social support from friends (PSS-Fr) and from family (PSS-Fa) were developed and validated. The PSS measures were internally consistent and appeared to measure valid constructs that were separate from each other and from network measures. PSS-Fr and PSS-Fa were both inversely related to symptoms of distress and psychopathology but the relationship was stronger for PSS-Fa. PSS-Fr was more closely related to social competence. PSS-Fa was unaffected by either positive or negative mood states (self-statements), but the reporting of PSS-Fr was lowered by negative mood states. High PSS-Fr subjects were significantly lower in trait anxiety and talked about themselves more to friends and sibs than low PSS-Fr subjects. Low PSS-Fa subjects showed marked verbal inhibition with sibs.
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              Validation of a decisional conflict scale.

              The study objective was to evaluate the psychometric properties of a decisional conflict scale (DCS) that elicits: 1) health-care consumers' uncertainty in making a health-related decision; 2) the factors contributing to the uncertainty; and 3) health-care consumers' perceived effective decision making. The DCS was developed in response to the lack of instruments available to evaluate health-care-consumer decision aids and to tailor decision-supporting interventions to particular consumer needs. The scale was evaluated with 909 individuals deciding about influenza immunization or breast cancer screening. A subsample of respondents was retested two weeks later. The test-retest reliability coefficient was 0.81. Internal consistency coefficients ranged from 0.78 to 0.92. The DCS discriminated significantly (p < 0.0002) between those who had strong intentions either to accept or to decline invitations to receive influenza vaccine or breast cancer screening and those whose intentions were uncertain. The scale also discriminated significantly (p < 0.0002) between those who accepted or rejected immunization and those who delayed their decisions to be immunized. There was a weak inverse correlation (r = -0.16, p < 0.05) between the DCS and knowledge test scores. The psychometric properties of the scale are acceptable. It is feasible and easy to administer. Evaluations of responsiveness to change and validation with more difficult decisions are warranted.
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                Author and article information

                Journal
                0405543
                5565
                Mayo Clin Proc
                Mayo Clin. Proc.
                Mayo Clinic proceedings
                0025-6196
                1942-5546
                19 July 2019
                November 2018
                01 November 2019
                : 93
                : 11
                : 1600-1610
                Affiliations
                Department of Cardiovascular Medicine (I.J.K., X.F., M.J., M.S., S.S., D.C.K., M.C., M.Z., M.F., M.P., E.S.), Department of Health Sciences Research, Biomedical Ethics Program (J.O., C.R.B., J.E.P., R.F., R.S.), Center for Individualized Medicine-Genomics (E.W.), Department of Internal Medicine (P.C.), and Department of Laboratory Medicine and Pathology (S.N.T.), Mayo Clinic, Rochester, MN; Johns Hopkins University, Schools of Medicine, Public Health, and Nursing, Baltimore, MD (C.G.C.); National Human Genome Research Institute, Bethesda, MD (J.G., S.J.); Baylor College of Medicine Human Genome Sequencing Center, Houston, TX (E.V., M.M., Y.J.); Center for Health Promotion and Disease Prevention, Arizona State University, Phoenix, AZ (G.Q.S.); and Department of Health Sciences Research, Mayo Clinic, Scottsdale, AZ (N.M.L.)
                Author notes
                Correspondence: Address to Iftikhar J. Kullo, MD, Department of Cardiovascular Medicine and the Gonda Vascular Center, Mayo Clinic, 200 First St SW, Rochester, MN 55905 ( Kullo.Iftikhar@ 123456mayo.edu ).
                Article
                NIHMS1042169
                10.1016/j.mayocp.2018.06.026
                6652203
                30392543
                5e1d9174-d57a-45b7-92a2-4d45dfe33c4a

                This is an open access article under the CC BY-NC-ND license ( http://creativecommons.org/licenses/by-nc-nd/4.0/)

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