Evidence map›Paper›PMID 41988697›Full record

ArticleJournal of genetic counseling2026

Personalized health predictions challenge existing insurance frameworks: Time to revisit life and disability insurance regulation?

Max Rensink, Maartje Schermer, Ineke Bolt

Abstract read
In one paragraph

Article in Journal of genetic counseling, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Max RensinkDepartment of Public Health - Medical Ethics, Philosophy, and History of Medicine Group, Erasmus Medical Centre, Rotterdam, The Netherlands.ORCID https://orcid.org/0000-0003-4799-8587
Maartje SchermerErasmus School of Health Policy and Management, Erasmus University, Rotterdam, The Netherlands.ORCID https://orcid.org/0000-0003-4283-9659
Ineke BoltDepartment of Public Health - Medical Ethics, Philosophy, and History of Medicine Group, Erasmus Medical Centre, Rotterdam, The Netherlands.ORCID https://orcid.org/0000-0002-9575-1354

Funding

Nederlandse Organisatie voor Wetenschappelijk Onderzoek NWA.1389.20.244
6 · The paper itself

Abstract

Personalized health predictions are developing rapidly across a wide range of diseases, challenging the existing legal frameworks for life and disability insurance. These frameworks were originally developed with a focus on presymptomatic genetic testing for severe monogenic diseases such as Huntington's disease. The rapid expansion of personalized medicine raises questions about whether existing legal frameworks remain adequate. This paper examines the underlying ethical values of current legal frameworks that rely on financial thresholds to balance stakeholders' interests and explores how the growing availability of personalized predictions may give rise to ethical tensions. We argue that it is important to find a renewed balance between stakeholders' interests, to evaluate whether the concept of genetic exceptionalism is still meaningful in light of personalized predictions, and to consider how legislation can be reformulated to encompass personalized predictions and ensure solidarity. Furthermore, the potential for inaccuracies and misinterpretation of personalized predictions should be addressed. Our analysis highlights several ethical tensions that current legal frameworks may not be well equipped to address as personalized prediction technologies evolve. We therefore conclude that re-evaluating the legal frameworks underpinning life and disability insurance underwriting is both timely and necessary.

Indexed as

Insurance, DisabilityInsurance, LifePrecision MedicineGenetic TestingHumansethicsHuntington's diseaseinsurance underwritinglife insuranceneurogenerative diseasespersonalized predictionspolygenic risk scorespresymptomatic genetic testing

Identifiers

PMID41988697
PMCPMC13084489

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.