Evidence map›Paper›PMID 33157006›Full record

ArticleAmerican journal of human genetics2020

Analogies in Genomics Policymaking: Debates and Drawbacks.

John A Lynch, Aaron J Goldenberg, Nanibaa' A Garrison, Kyle B Brothers

Abstract read
In one paragraph

Article in American journal of human genetics, 2020. 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

4 authors.

John A LynchDepartment of Communication, University of Cincinnati, Cincinnati, OH 45221, USA. Electronic address: lynchjo@ucmail.uc.edu.
Aaron J GoldenbergDepartment of Bioethics & Medical Humanities, Case Western Reserve University School of Medicine, Cleveland, OH 44106, USA.
Nanibaa' A GarrisonInstitute for Society and Genetics, University of California, Los Angeles, CA 90095, USA; Institute for Precision Health, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA; General Internal Medicine and Health Services Research, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA.
Kyle B BrothersDepartment of Pediatrics, University of Louisville School of Medicine, Louisville, KY 40202, USA; Institute for Bioethics, Health Policy and Law, University of Louisville, Louisville, KY 40202, USA. Electronic address: kyle.brothers@louisville.edu.

Funding

Addressing Ethical Challenges in Networked BiorepositoriesR01HG008988 · NHGRI · UNIVERSITY OF LOUISVILLE · PI BROTHERS, KYLE BERTRAM, GOLDENBERG, AARON J · 2016 to 2019
$1.7M
Genomics and Native Communities: Perspectives, Ethics, and EngagementK01HG008818 · NHGRI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI GARRISON, NANIBAA' A · 2016 to 2020
$819k
NHGRI NIH HHS K01 HG008818NHGRI NIH HHS R01 HG008988
6 · The paper itself

Abstract

The analogy between genomics and imaging has been an important touchstone in the debate on how secondary findings should be handled in both clinical and research genomics contexts. However, a critical eye is needed to understand whether an analogy like this one provides an adequate basis for policymaking in genomics. Genomics and imaging are undoubtedly similar in certain ways, but whether that similarity is adequate to justify adopting identical policies is a task that requires further analysis. This is highlighted by the fact that secondary findings are produced in other domains of medicine and public health, such as newborn screening programs, routine laboratory panels, and antibiotic sensitivity testing, and that the practices for handling secondary findings in each of these areas are different. These examples demonstrate that medicine has no single comprehensive policy or set of practices for managing secondary findings. Analogies to imaging, newborn screening, routine testing panels, and antibiotic sensitivity testing all lead to different policy options for genomics. In this piece we argue that analogies are a powerful way of driving policy discussions by rendering two different areas of medical practice similar, but an overdependence on a single analogy risks limiting policy discussions in potentially deleterious ways.

Indexed as

Policy MakingDiagnostic ImagingDisclosureGenetic TestingGenomicsHealth PolicyHumansIncidental FindingsInfant, NewbornPublic HealthSequence Analysis, DNA

Identifiers

PMID33157006
PMCPMC7674995

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.