Literature DB >> 21720148

The general public's understanding and perception of direct-to-consumer genetic test results.

J W Leighton1, K Valverde, B A Bernhardt.   

Abstract

BACKGROUND/AIMS: Direct-to-consumer (DTC) genetic testing allows consumers to discover their risk for common complex disorders. The extent to which consumers understand typical results provided by DTC genetic testing is currently unknown. Misunderstanding of the results could lead to negative consequences including unnecessary concern, false reassurance or unwarranted changes in screening behaviors. We conducted a study to investigate consumers' perceptions and understanding of DTC test results.
METHODS: An online survey was posted on Facebook that included questions relating to 4 sample test results for risk of developing colorectal cancer, heart disease and skin cancer. Genetic counselors were used as a comparison group.
RESULTS: 145 individuals from the general public and 171 genetic counselors completed the survey. A significant difference was found between the way the general public and genetic counselors interpreted the meaning of the DTC results. The general public respondents also believed that results in all 4 scenarios would be significantly more helpful than the genetic counselors did. Although the majority of general public respondents rated the results as easy to understand, they often misinterpreted them.
CONCLUSIONS: These findings imply that the general public has the potential to misinterpret DTC results without appropriate assistance. Further research is needed to explore optimal methods of providing DTC test results and ways to minimize the risk of negative consequences for consumers.
Copyright © 2011 S. Karger AG, Basel.

Entities:  

Mesh:

Year:  2011        PMID: 21720148     DOI: 10.1159/000327159

Source DB:  PubMed          Journal:  Public Health Genomics        ISSN: 1662-4246            Impact factor:   2.000


  66 in total

1.  Racial and ethnic differences in direct-to-consumer genetic tests awareness in HINTS 2007: sociodemographic and numeracy correlates.

Authors:  Aisha T Langford; Ken Resnicow; J Scott Roberts; Brian J Zikmund-Fisher
Journal:  J Genet Couns       Date:  2012-01-21       Impact factor: 2.537

2.  Implications of Internet availability of genomic information for public health practice.

Authors:  B W Hesse; N K Arora; M J Khoury
Journal:  Public Health Genomics       Date:  2012-04-04       Impact factor: 2.000

3.  Knowledge, Attitudes, and Practice Regarding Genetic Testing and Genetic Counselors in Jordan: A Population-Based Survey.

Authors:  Mamoun Ahram; Majd Soubani; Lana Abu Salem; Haneen Saker; Muayyad Ahmad
Journal:  J Genet Couns       Date:  2015-04-08       Impact factor: 2.537

4.  Risky business: risk perception and the use of medical services among customers of DTC personal genetic testing.

Authors:  David J Kaufman; Juli M Bollinger; Rachel L Dvoskin; Joan A Scott
Journal:  J Genet Couns       Date:  2012-01-26       Impact factor: 2.537

5.  Understanding of multigene test results among males undergoing germline testing for inherited prostate cancer: Implications for genetic counseling.

Authors:  Veda N Giri; Elias Obeid; Sarah E Hegarty; Laura Gross; Lisa Bealin; Colette Hyatt; Carolyn Y Fang; Amy Leader
Journal:  Prostate       Date:  2018-04-14       Impact factor: 4.104

Review 6.  Direct-to-consumer personalized genomic testing.

Authors:  Cinnamon S Bloss; Burcu F Darst; Eric J Topol; Nicholas J Schork
Journal:  Hum Mol Genet       Date:  2011-08-09       Impact factor: 6.150

7.  Does personal genome testing drive service utilization in an adult preventive medicine clinic?

Authors:  Ny Hoang; Robin Hayeems; Jill Davies; Shuye Pu; Syed Wasim; Lea Velsher; James Aw; Sébastien Chénier; Dimitri J Stavropoulos; Riyana Babul-Hirji; Rosanna Weksberg; Cheryl Shuman
Journal:  J Community Genet       Date:  2017-04-03

8.  Utilization of Genetic Counseling after Direct-to-Consumer Genetic Testing: Findings from the Impact of Personal Genomics (PGen) Study.

Authors:  Diane R Koeller; Wendy R Uhlmann; Deanna Alexis Carere; Robert C Green; J Scott Roberts
Journal:  J Genet Couns       Date:  2017-05-16       Impact factor: 2.537

9.  Parent and public interest in whole-genome sequencing.

Authors:  Daniel S Dodson; Aaron J Goldenberg; Matthew M Davis; Dianne C Singer; Beth A Tarini
Journal:  Public Health Genomics       Date:  2015-03-06       Impact factor: 2.000

10.  Impact of delivery models on understanding genomic risk for type 2 diabetes.

Authors:  S B Haga; W T Barry; R Mills; L Svetkey; S Suchindran; H F Willard; G S Ginsburg
Journal:  Public Health Genomics       Date:  2014-02-27       Impact factor: 2.000

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