Evidence map›Paper›PMID 38701744›Full record

ArticleAmerican journal of human genetics2024

Potential corporate uses of polygenic indexes: Starting a conversation about the associated ethics and policy issues.

Michelle N Meyer, Nicholas W Papageorge, Erik Parens, Alan Regenberg, Jeremy Sugarman, Kevin Thom

Abstract read
In one paragraph

Article in American journal of human genetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. The Legal Uncertainties of Sociogenomic Polygenic Scores.Harvard journal of law & technology · 2024
    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

6 authors.

Michelle N MeyerDepartment of Bioethics and Decision Sciences, Geisinger College of Health Sciences, Danville, PA, USA. Electronic address: michellenmeyer@gmail.com.
Nicholas W PapageorgeDepartment of Economics, Johns Hopkins University, Baltimore, MD, USA. Electronic address: papageorge@jhu.edu.
Erik ParensThe Hastings Center, Garrison, NY, USA.
Alan RegenbergBerman Institute of Bioethics, Johns Hopkins University, Baltimore, MD, USA.
Jeremy SugarmanBerman Institute of Bioethics, Johns Hopkins University, Baltimore, MD, USA; Department of Medicine, Johns Hopkins University, Baltimore, MD, USA.
Kevin ThomDepartment of Economics, University of Wisconsin-Milwaukee, Milwaukee, WI, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Some commercial firms currently sell polygenic indexes (PGIs) to individual consumers, despite their relatively low predictive power. It might be tempting to assume that because the predictive power of many PGIs is so modest, other sorts of firms-such as those selling insurance and financial services-will not be interested in using PGIs for their own purposes. We argue to the contrary. We build this argument in two ways. First, we offer a very simple model, rooted in economic theory, of a profit-maximizing firm that can gain information about a single consumer's genome. We use the model to show that, depending on the specific economic environment, a firm would be willing to pay for statistically noisy PGIs, even if they allow for only a small reduction in uncertainty. Second, we describe two plausible scenarios in which these different kinds of firms could conceivably use PGIs to maximize profits. Finally, we briefly discuss some of the associated ethics and policy issues. They deserve more attention, which is unlikely to be given until it is first recognized that firms whose services affect a large swath of the public will indeed have incentives to use PGIs.

Indexed as

Multifactorial InheritanceGenetic TestingHumans

Identifiers

PMID38701744
PMCPMC11080274

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

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.