Evidence map›Paper›PMID 28671958›Full record

ArticlePloS one2017

Clinical genome sequencing and population preferences for information about 'incidental' findings-From medically actionable genes (MAGs) to patient actionable genes (PAGs).

Thomas Ploug, Søren Holm

Abstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Clinical utility of genomic sequencing.Current opinion in pediatrics · 2019
    Review
  13. Research participants' preferences for receiving genetic risk information: a discrete choice experiment.Genetics in medicine : official journal of the American College of Medical Genetics · 2019
    Article
  14. Normative and conceptual ELSI research: what it is, and why it's important.Genetics in medicine : official journal of the American College of Medical Genetics · 2019
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. 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.

Thomas PlougAalborg University Copenhagen, Centre for Applied Ethics and Philosophy of Science, Department of Communication, Kbh. SV, Denmark.
Søren HolmUniversity of Manchester, Centre for Social Ethics and Policy, School of Law, Manchester, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Whole genome or exome sequencing is increasingly used in the clinical contexts, and 'incidental' findings are generated. There is need for an adequate policy for the reporting of these findings to individuals. Such a policy has been suggested by the American College of Medical Genetics and Genomics (ACMG). We argue that ACMG's policy is overly paternalistic, and that an adequate policy must take into account population preferences. We conducted a choice based conjoint survey of population preferences for reporting in a representative sample of the Danish population. In a 12 task survey respondents were asked about their preference for reporting in relation to three scenarios with seven different attributes. Of 1200 respondents 66.4% participated. We show that population preferences for reporting differs from ACMG's recommendations, and suggest a new policy based on both medically and patient actionable genes.

Indexed as

Genome, HumanIncidental FindingsDenmarkFocus GroupsHumansSurveys and Questionnaires

Identifiers

PMID28671958
PMCPMC5495206

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.