Genetic testing and insurance implications: Surveying the US general population about discrimination concerns and knowledge of the Genetic Information Nondiscrimination Act (GINA)

Anya E. R Prince; Wendy R Uhlmann; Sonia M Suter; Aaron M Scherer

doi:10.1111/rmir.12195

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Journal article

Genetic testing and insurance implications: Surveying the US general population about discrimination concerns and knowledge of the Genetic Information Nondiscrimination Act (GINA)

Anya E. R Prince, Wendy R Uhlmann, Sonia M Suter and Aaron M Scherer

Risk management and insurance review, Vol.24(4), pp.341-365

11/19/2021

DOI: 10.1111/rmir.12195

PMCID: PMC9165621

PMID: 35663290

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https://www.ncbi.nlm.nih.gov/pmc/articles/9165621View

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Abstract

Globally, due to public concerns of genetic discrimination, some countries and insurance industries have adopted policies restricting insurer use of genetic information, such as the US Genetic Information Nondiscrimination Act (GINA). This study reports on a combined analysis of two surveys assessing public knowledge of GINA and concerns of genetic discrimination in a diverse US sample (N = 1616). We focus on whether occupation, genetic testing history, and insurance status are correlated with knowledge of GINA or concerns of discrimination. While bivariate analysis identified some populations with higher subjective/objective knowledge and concern relative to counterparts, multivariable regression identified very few significant associations with outcomes of interest. Overall, this study highlights a lack of awareness and understanding of GINA, even among subpopulations hypothesized to have greater knowledge of the law. These findings have implications for the broader debate around insurer use of genetic information.

Details

Title: Subtitle: Genetic testing and insurance implications: Surveying the US general population about discrimination concerns and knowledge of the Genetic Information Nondiscrimination Act (GINA)
Creators: Anya E. R Prince - University of Iowa
Wendy R Uhlmann - University of Michigan
Sonia M Suter - George Washington University
Aaron M Scherer - University of Iowa
Resource Type: Journal article
Publication Details: Risk management and insurance review, Vol.24(4), pp.341-365
DOI: 10.1111/rmir.12195
PMID: 35663290
PMCID: PMC9165621
NLM abbreviation: Risk Manag Insur Rev
ISSN: 1098-1616
eISSN: 1540-6296
Grant note: DOI: 10.13039/100000051, name: National Human Genome Research Institute, award: R00HG008819
Language: English
Date published: 11/19/2021
Academic Unit: General Internal Medicine; Law Faculty; Internal Medicine
Record Identifier: 9984202132802771

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