Evidence map›Paper›PMID 38752549›Full record

ArticleHealth economics, policy, and law2024

Genomics and insurance in the United Kingdom: increasing complexity and emerging challenges.

Padraig Dixon, Rachel H Horton, William G Newman, John H McDermott, Anneke Lucassen

Abstract read
In one paragraph

Article in Health economics, policy, and law, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
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

5 authors.

Padraig DixonNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.ORCID https://orcid.org/0000-0001-5285-409X
Rachel H HortonCentre for Personalised Medicine, University of Oxford, Oxford, UK.
William G NewmanEvolution, Infection and Genomics, School of Biological Sciences, University of Manchester, Manchester, UK.
John H McDermottEvolution, Infection and Genomics, School of Biological Sciences, University of Manchester, Manchester, UK.
Anneke LucassenCentre for Personalised Medicine, University of Oxford, Oxford, UK.

Funding

Department of Health NIHR203308Department of Health NIHR301748National Institute for Health and Care Research NIHR203308National Institute for Health and Care Research NIHR 301748Wellcome Trust 208053Wellcome Trust 208053/B/17/ZWellcome Trust 218092Wellcome Trust 218092/A/19/Z
6 · The paper itself

Abstract

This article identifies issues relating to the use of genetics and genomics in risk-rated insurance that may challenge existing regulatory models in the UK and elsewhere. We discuss three core issues: (1) As genomic testing advances, and results are increasingly relevant to guide healthcare across an individual's lifetime, the distinction between diagnostic and predictive testing that the current UK insurance code relies on becomes increasingly blurred. (2) The emerging category of pharmacogenetic tests that are predictive only in the context of a specific prescribing moment. (3) The increasing availability and affordability of polygenic scores that are neither clearly diagnostic nor highly predictive, but which nonetheless might have incremental value for risk-rated insurance underwriting beyond conventional factors. We suggest a deliberative approach is required to establish when and how genetic information can be used in risk-rated insurance.

Indexed as

Genetic TestingGenomicsInsurance, HealthHumansPharmacogeneticsUnited Kingdomeconomicsgeneticshealth insurancelife insurance

Identifiers

PMID38752549
PMCPMC7617843

What OpenQuestion holds

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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.