Literature DB >> 28949844

When bins blur: Patient perspectives on categories of results from clinical whole genome sequencing.

Leila Jamal1, Jill O Robinson2, Kurt D Christensen3, Jennifer Blumenthal-Barby2, Melody J Slashinski4, Denise Lautenbach Perry5, Jason L Vassy6, Julia Wycliff2, Robert C Green7, Amy L McGuire2.   

Abstract

BACKGROUND: Clinical genome and exome sequencing (CGES) is being used in an expanding range of clinical settings. Most approaches to offering patients choices about learning CGES results classify results according to expert definitions of clinical actionability. Little is known about how patients conceptualize different categories of CGES results.
METHODS: The MedSeq Project is a randomized controlled trial studying the use of whole-genome sequencing (WGS) in primary care and cardiology. We surveyed 202 patient-participants about different kinds of WGS results and conducted qualitative interviews with 49 of these participants. Interview data were analyzed both inductively and deductively using thematic content analysis.
RESULTS: Participants demonstrated high levels of study understanding and genetic literacy. A small majority of participants wanted to learn all of their WGS results (n = 123, 61%). Qualitative data provided a deeper understanding of participants' perspectives about different types of WGS results. Participants did not have the same views about which WGS results would be actionable or upsetting to learn. They conceptualized variants of uncertain significance (VUS) in a variety of different ways. Many participants expressed optimism that the uncertainty associated with VUS results could be reduced over time.
CONCLUSIONS: Proposals to determine which WGS/CGES results to disclose by soliciting patient preferences may fail to appreciate the complex ways patients think about disease and the information WGS/CGES can produce. Our findings challenge prevailing methods of facilitating patient choice and assessing the benefits and harms related to the return of WGS/CGES results, which mostly rely on expert definitions of clinical utility to categorize the kinds of results patients can learn.

Entities:  

Keywords:  bioethics; empirical research; interview; mixed-methods research; qualitative research; survey

Mesh:

Year:  2017        PMID: 28949844      PMCID: PMC6647021          DOI: 10.1080/23294515.2017.1287786

Source DB:  PubMed          Journal:  AJOB Empir Bioeth        ISSN: 2329-4515


  15 in total

1.  Recontacting clinical genetics patients with reclassified results: equity and policy challenges.

Authors:  Yvonne Bombard; Chloe Mighton
Journal:  Eur J Hum Genet       Date:  2019-04       Impact factor: 4.246

2.  The Clinical Sequencing Evidence-Generating Research Consortium: Integrating Genomic Sequencing in Diverse and Medically Underserved Populations.

Authors:  Laura M Amendola; Jonathan S Berg; Carol R Horowitz; Frank Angelo; Jeannette T Bensen; Barbara B Biesecker; Leslie G Biesecker; Gregory M Cooper; Kelly East; Kelly Filipski; Stephanie M Fullerton; Bruce D Gelb; Katrina A B Goddard; Benyam Hailu; Ragan Hart; Kristen Hassmiller-Lich; Galen Joseph; Eimear E Kenny; Barbara A Koenig; Sara Knight; Pui-Yan Kwok; Katie L Lewis; Amy L McGuire; Mary E Norton; Jeffrey Ou; Donald W Parsons; Bradford C Powell; Neil Risch; Mimsie Robinson; Christine Rini; Sarah Scollon; Anne M Slavotinek; David L Veenstra; Melissa P Wasserstein; Benjamin S Wilfond; Lucia A Hindorff; Sharon E Plon; Gail P Jarvik
Journal:  Am J Hum Genet       Date:  2018-09-06       Impact factor: 11.025

3.  Using the diffusion of innovations model to guide participant engagement in the genomics era.

Authors:  Katie L Lewis; Flavia M Facio; Courtney D Berrios
Journal:  J Genet Couns       Date:  2019-01-17       Impact factor: 2.537

Review 4.  Patients' views on variants of uncertain significance across indications.

Authors:  Kristin Clift; Sarah Macklin; Colin Halverson; Jennifer B McCormick; Abd Moain Abu Dabrh; Stephanie Hines
Journal:  J Community Genet       Date:  2019-08-20

5.  Preferences for Return of Genetic Results Among Participants in the Jackson Heart Study and Framingham Heart Study.

Authors:  Steven Joffe; Deborah E Sellers; Lynette Ekunwe; Donna Antoine-Lavigne; Sarah McGraw; Daniel Levy; Greta Lee Splansky
Journal:  Circ Genom Precis Med       Date:  2019-11-22

6.  An ethical framework for genetic counseling in the genomic era.

Authors:  Leila Jamal; Will Schupmann; Benjamin E Berkman
Journal:  J Genet Couns       Date:  2019-12-19       Impact factor: 2.717

7.  Participant choices for return of genomic results in the eMERGE Network.

Authors:  Christin Hoell; Julia Wynn; Luke V Rasmussen; Keith Marsolo; Sharon A Aufox; Wendy K Chung; John J Connolly; Robert R Freimuth; David Kochan; Hakon Hakonarson; Margaret Harr; Ingrid A Holm; Iftikhar J Kullo; Philip E Lammers; Kathleen A Leppig; Nancy D Leslie; Melanie F Myers; Richard R Sharp; Maureen E Smith; Cynthia A Prows
Journal:  Genet Med       Date:  2020-07-16       Impact factor: 8.864

8.  Stakeholder Perspectives on Returning Nonactionable Apolipoprotein L1 (APOL1) Genetic Results to African American Research Participants.

Authors:  Kathleen M West; Kerri L Cavanaugh; Erika Blacksher; Stephanie M Fullerton; Ebele M Umeukeje; Bessie Young; Wylie Burke
Journal:  J Empir Res Hum Res Ethics       Date:  2021-12-06       Impact factor: 1.978

9.  Health orientation and individual tendencies of a sample of Italian genetic testing consumers.

Authors:  Serena Oliveri; Ilaria Durosini; Ilaria Cutica; Clizia Cincidda; Francesca Spinella; Marina Baldi; Alessandra Gorini; Gabriella Pravettoni
Journal:  Mol Genet Genomic Med       Date:  2020-06-05       Impact factor: 2.183

10.  Improved ethical guidance for the return of results from psychiatric genomics research.

Authors:  G Lázaro-Muñoz; M S Farrell; J J Crowley; D M Filmyer; R A Shaughnessy; R C Josiassen; P F Sullivan
Journal:  Mol Psychiatry       Date:  2017-11-21       Impact factor: 15.992

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.