Genetic information in insurance: Guiding questions for state regulation.
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| Title: | Genetic information in insurance: Guiding questions for state regulation. |
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| Authors: | Prince, Anya E. R. (AUTHOR), Eckel, Theresa (AUTHOR) |
| Source: | Science. 2/26/2026, Vol. 391 Issue 6788, p872-874. 3p. |
| Subjects: | Genetic profile, State laws, Health insurance, Policy analysis, Discrimination (Sociology), Risk assessment, Insurance law |
| Abstract: | In 2008, the US Congress passed the Genetic Information Non-discrimination Act (GINA) to prohibit genetic discrimination in health insurance. Some early versions included life, long-term care, and disability insurers, but the final act narrowed to health insurance for political expediency. States were left to determine whether and how to fill these gaps. Insurers have argued that access to genetic information is essential to properly calculate risk. Yet, in other contexts, like gender and race or ethnicity, states have, for societal reasons, restricted insurer use of potentially predictive information (1). Many argue that immutable genetic information should be similarly restricted in part because fear of discrimination causes individuals to decline participation in genomic research and testing (2). Given these competing interests, the scope and strength of state laws vary widely (3). In anticipation of this spring's legislative sessions, we propose guiding questions for policy-makers to consider to address the public's genetic discrimination concerns. [ABSTRACT FROM AUTHOR] |
| Copyright of Science is the property of American Association for the Advancement of Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
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| Header | DbId: pbh DbLabel: Psychology and Behavioral Sciences Collection An: 191951177 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Genetic information in insurance: Guiding questions for state regulation. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Prince%2C+Anya+E%2E+R%2E%22">Prince, Anya E. R.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Eckel%2C+Theresa%22">Eckel, Theresa</searchLink> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Science%22">Science</searchLink>. 2/26/2026, Vol. 391 Issue 6788, p872-874. 3p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Genetic+profile%22">Genetic profile</searchLink><br /><searchLink fieldCode="DE" term="%22State+laws%22">State laws</searchLink><br /><searchLink fieldCode="DE" term="%22Health+insurance%22">Health insurance</searchLink><br /><searchLink fieldCode="DE" term="%22Policy+analysis%22">Policy analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Discrimination+%28Sociology%29%22">Discrimination (Sociology)</searchLink><br /><searchLink fieldCode="DE" term="%22Risk+assessment%22">Risk assessment</searchLink><br /><searchLink fieldCode="DE" term="%22Insurance+law%22">Insurance law</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: In 2008, the US Congress passed the Genetic Information Non-discrimination Act (GINA) to prohibit genetic discrimination in health insurance. Some early versions included life, long-term care, and disability insurers, but the final act narrowed to health insurance for political expediency. States were left to determine whether and how to fill these gaps. Insurers have argued that access to genetic information is essential to properly calculate risk. Yet, in other contexts, like gender and race or ethnicity, states have, for societal reasons, restricted insurer use of potentially predictive information (1). Many argue that immutable genetic information should be similarly restricted in part because fear of discrimination causes individuals to decline participation in genomic research and testing (2). Given these competing interests, the scope and strength of state laws vary widely (3). In anticipation of this spring's legislative sessions, we propose guiding questions for policy-makers to consider to address the public's genetic discrimination concerns. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Science is the property of American Association for the Advancement of Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=191951177 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1126/science.aee2317 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 3 StartPage: 872 Subjects: – SubjectFull: Genetic profile Type: general – SubjectFull: State laws Type: general – SubjectFull: Health insurance Type: general – SubjectFull: Policy analysis Type: general – SubjectFull: Discrimination (Sociology) Type: general – SubjectFull: Risk assessment Type: general – SubjectFull: Insurance law Type: general Titles: – TitleFull: Genetic information in insurance: Guiding questions for state regulation. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Prince, Anya E. R. – PersonEntity: Name: NameFull: Eckel, Theresa IsPartOfRelationships: – BibEntity: Dates: – D: 26 M: 02 Text: 2/26/2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 00368075 Numbering: – Type: volume Value: 391 – Type: issue Value: 6788 Titles: – TitleFull: Science Type: main |
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