Literature DB >> 28832567

Third party interpretation of raw genetic data: an ethical exploration.

Lauren Badalato1,2, Louiza Kalokairinou2, Pascal Borry2.   

Abstract

In the wake of recent regulations targeting direct-to-consumer genetic testing (DTC-GT), an increasing number of websites have emerged that offer consumers alternative means to derive health information from their DTC-GT raw data. While the ethical concerns associated with DTC-GT have been extensively discussed in the literature, the implications of third party interpretation (TPI) websites have remained largely unexplored. Here we sought to describe these services and elucidate their ethical implications in the context of the current DTC-GT debate. We reviewed five popular TPI websites that use SNP-based genomic data to report health-related information: Promethease, Interpretome, LiveWello, Codegen.eu, and Enlis Personal. We found that many of the ethical concerns previously described in DTC-GT also applied to TPI websites, including inadequate informed consent, questionable clinical validity and utility, and lack of medical supervision. However, some concerns about data usage and privacy reported in DTC-GT were less prominent in the five TPI websites we studied: none of them sold or shared user data, and 3/5 sites did not retain data in the long term. In addition, while exaggerated claims and inaccurate advertising have been frequently problematic in DTC-GT, advertising was minimal in the TPI sites we assessed, and 4/5 made no claims of health benefits. Overall, TPI adds a new dimension to the ethical debate surrounding DTC-GT, and awareness of these services will become increasingly important as personal genomics continues to expand. This study constitutes the first detailed ethical analysis of these services, and presents a starting point for further research and ethical reflection.

Entities:  

Mesh:

Year:  2017        PMID: 28832567      PMCID: PMC5643961          DOI: 10.1038/ejhg.2017.126

Source DB:  PubMed          Journal:  Eur J Hum Genet        ISSN: 1018-4813            Impact factor:   4.246


  24 in total

1.  CCMG statement on direct-to-consumer genetic testing.

Authors:  T N Nelson; L Armstrong; J Richer; J Evans; J Lauzon; B McGillivray; H Bruyere; S Dougan
Journal:  Clin Genet       Date:  2011-11-10       Impact factor: 4.438

2.  Letting the genome out of the bottle--will we get our wish?

Authors:  David J Hunter; Muin J Khoury; Jeffrey M Drazen
Journal:  N Engl J Med       Date:  2008-01-10       Impact factor: 91.245

3.  The FDA and me.

Authors: 
Journal:  Nature       Date:  2013-12-05       Impact factor: 49.962

4.  The challenge of implementing genetic tests with clinical utility while avoiding unsound applications.

Authors:  Martina C Cornel; Carla G van El; Pascal Borry
Journal:  J Community Genet       Date:  2012-10-09

5.  Interpretome: a freely available, modular, and secure personal genome interpretation engine.

Authors:  Konrad J Karczewski; Robert P Tirrell; Pablo Cordero; Nicholas P Tatonetti; Joel T Dudley; Keyan Salari; Michael Snyder; Russ B Altman; Stuart K Kim
Journal:  Pac Symp Biocomput       Date:  2012

6.  Direct-to-consumer genetic testing: a revised position statement of the American College of Medical Genetics and Genomics.

Authors: 
Journal:  Genet Med       Date:  2015-12-17       Impact factor: 8.822

Review 7.  Personal genome testing: test characteristics to clarify the discourse on ethical, legal and societal issues.

Authors:  Eline M Bunnik; Maartje H N Schermer; A Cecile J W Janssens
Journal:  BMC Med Ethics       Date:  2011-06-14       Impact factor: 2.652

Review 8.  Reflections on the US FDA's Warning on Direct-to-Consumer Genetic Testing.

Authors:  Seon-Hee Yim; Yeun-Jun Chung
Journal:  Genomics Inform       Date:  2014-12-31

9.  Genetic counseling in direct-to-consumer exome sequencing: a case report.

Authors:  Saskia van den Berg; Yaoqing Shen; Steven J M Jones; William T Gibson
Journal:  J Genet Couns       Date:  2014-06-24       Impact factor: 2.537

10.  Direct-to-consumer genomics on the scales of autonomy.

Authors:  Effy Vayena
Journal:  J Med Ethics       Date:  2014-05-05       Impact factor: 2.903

View more
  19 in total

Review 1.  First Responder to Genomic Information: A Guide for Primary Care Providers.

Authors:  Susanne B Haga
Journal:  Mol Diagn Ther       Date:  2019-08       Impact factor: 4.074

2.  Third-Party Genetic Interpretation Tools: A Mixed-Methods Study of Consumer Motivation and Behavior.

Authors:  Sarah C Nelson; Deborah J Bowen; Stephanie M Fullerton
Journal:  Am J Hum Genet       Date:  2019-06-13       Impact factor: 11.025

3.  "Bridge to the Literature"? Third-Party Genetic Interpretation Tools and the Views of Tool Developers.

Authors:  Sarah C Nelson; Stephanie M Fullerton
Journal:  J Genet Couns       Date:  2018-02-07       Impact factor: 2.537

Review 4.  Mind the gap: resources required to receive, process and interpret research-returned whole genome data.

Authors:  Dana C Crawford; Jessica N Cooke Bailey; Farren B S Briggs
Journal:  Hum Genet       Date:  2019-06-03       Impact factor: 4.132

5.  WHY WE FEAR GENETIC INFORMANTS: USING GENETIC GENEALOGY TO CATCH SERIAL KILLERS.

Authors:  Teneille R Brown
Journal:  Columbia Sci Technol Law Rev       Date:  2019

6.  The challenges of the expanded availability of genomic information: an agenda-setting paper.

Authors:  Pascal Borry; Heidi Beate Bentzen; Isabelle Budin-Ljøsne; Martina C Cornel; Heidi Carmen Howard; Oliver Feeney; Leigh Jackson; Deborah Mascalzoni; Álvaro Mendes; Borut Peterlin; Brigida Riso; Mahsa Shabani; Heather Skirton; Sigrid Sterckx; Danya Vears; Matthias Wjst; Heike Felzmann
Journal:  J Community Genet       Date:  2017-09-26

7.  Impute.me: An Open-Source, Non-profit Tool for Using Data From Direct-to-Consumer Genetic Testing to Calculate and Interpret Polygenic Risk Scores.

Authors:  Lasse Folkersen; Oliver Pain; Andrés Ingason; Thomas Werge; Cathryn M Lewis; Jehannine Austin
Journal:  Front Genet       Date:  2020-06-30       Impact factor: 4.599

Review 8.  APPLaUD: access for patients and participants to individual level uninterpreted genomic data.

Authors:  Adrian Thorogood; Jason Bobe; Barbara Prainsack; Anna Middleton; Erick Scott; Sarah Nelson; Manuel Corpas; Natasha Bonhomme; Laura Lyman Rodriguez; Madeleine Murtagh; Erika Kleiderman
Journal:  Hum Genomics       Date:  2018-02-17       Impact factor: 4.639

9.  Health and kinship matter: Learning about direct-to-consumer genetic testing user experiences via online discussions.

Authors:  Zhijun Yin; Lijun Song; Ellen W Clayton; Bradley A Malin
Journal:  PLoS One       Date:  2020-09-08       Impact factor: 3.240

10.  Personal Health Information Inference Using Machine Learning on RNA Expression Data from Patients With Cancer: Algorithm Validation Study.

Authors:  Solbi Kweon; Jeong Hoon Lee; Younghee Lee; Yu Rang Park
Journal:  J Med Internet Res       Date:  2020-08-10       Impact factor: 5.428

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.