Evidence map›Paper›PMID 30260295›Full record

ArticlePersonalized medicine2018

Reconceptualizing harms and benefits in the genomic age.

Anya E R Prince, Benjamin E Berkman

Abstract readEditorial
In one paragraph

Article in Personalized medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
  4. "Choice of law" in precision medicine research.American journal of human genetics · 2022
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. 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

2 authors.

Anya E R PrinceUniversity of Iowa, College of Law, Iowa City, IA, 52242, USA.
Benjamin E BerkmanNational Institutes of Health, Clinical Center Department of Bioethics & National Human Genome Research Institute, Bethesda, MD, 20892, USA.

Funding

Use of Genetic Information by Life, Long-term Care, and Disability InsurersR00HG008819 · NHGRI · UNIVERSITY OF IOWA · PI PRINCE, ANYA E.R. · 2017 to 2019
$728k
NHGRI NIH HHS R00 HG008819
6 · The paper itself

Abstract

As new, high-powered sequencing technologies are increasingly incorporated into genomics research, we believe that there has been a break point in how risks and benefits associated with genetic information are being characterized and understood. Genomic sequencing provides the potential benefit of a wealth of information, but also has the potential to alter how we conceptualize risks of sequencing. Until now, our conceptions of risks and benefits have been generally static, arising out of the early ethical, legal and social implications studies conducted in the context of targeted genetics. This paper investigates how the increasing availability of genetic information is changing views about risks and benefits, particularly examining our evolving understanding of psychosocial harms and our expanding conception of benefit. We argue that the lack of robust empirical evidence of psychosocial harms and the expanding view that benefits of genomic research include indirect familial benefit necessitate continued ethical, legal and social implications research.

Indexed as

Genetic TestingGenomicsHumansResearch ReportRisk AssessmentELSIgenomics researchnext-generation sequencingresearch ethicsrisks and benefits

Identifiers

PMID30260295
PMCPMC6295320

What OpenQuestion holds

Textmetadata
LicenceTDM
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.