Evidence map›Paper›PMID 27253734›Full record

ArticleGenetics in medicine : official journal of the American College of Medical Genetics2016

What are people willing to pay for whole-genome sequencing information, and who decides what they receive?

Deborah A Marshall, Juan Marcos Gonzalez, F Reed Johnson, Karen V MacDonald, Amy Pugh, Michael P Douglas, Kathryn A Phillips

Erratum issuedOpen access · bronzeAbstract read
In one paragraph

Article in Genetics in medicine : official journal of the American College of Medical Genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
3.6field-weighted citation impact, top 7% of its field
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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 27 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Laboratory business models and practices: implications for availability and access to germline genetic testing.Genetics in medicine : official journal of the American College of Medical Genetics · 2021
    Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Integrating pharmacogenetic testing into primary care.Expert review of precision medicine and drug development · 2017
    Article
  12. Estimating Preferences for Complex Health Technologies: Lessons Learned and Implications for Personalized Medicine.Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research · 2017
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 5 institutions in 2 countries.

Deborah A MarshallDepartment of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada.
Juan Marcos GonzalezResearch Triangle Institute, Research Triangle Park, North Carolina, USA.
F Reed JohnsonDuke Clinical Research Institute, Duke University, Durham, North Carolina, USA.
Karen V MacDonaldDepartment of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada.
Amy PughResearch Triangle Institute, Research Triangle Park, North Carolina, USA.
Michael P DouglasDepartment of Clinical Pharmacy, Center for Translational and Policy Research on Personalized Medicine (TRANSPERS), University of California at San Francisco, San Francisco, California, USA.ORCID 0000-0001-8517-6678
Kathryn A PhillipsUCSF Philip R. Lee Institute for Health Policy, University of California at San Francisco, San Francisco, California, USA.
RTI International · USUniversity of Calgary · CADuke University · USUCSF Helen Diller Family Comprehensive Cancer Center · USUniversity of California, San Francisco · US

Funding

Translational InformaticsP30CA082103 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Alan Ashworth · 1999 to 2026
$209.7M
Integration of Whole Genome Sequencing into Clinical MedicineU01HG006500 · NHGRI · BRIGHAM AND WOMEN'S HOSPITAL · PI GREEN, ROBERT C. · 2012 to 2016
$11.5M
Risk-Benefit Trade-Offs for Whole Genome SequencingR01HG007063 · NHGRI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI PHILLIPS, KATHRYN A · 2013 to 2016
$2.5M
NCI NIH HHS P30 CA082103NHGRI NIH HHS R01 HG007063NHGRI NIH HHS U01 HG006500
6 · The paper itself

Abstract

purposeWhole-genome sequencing (WGS) can be used as a powerful diagnostic tool as well as for screening, but it may lead to anxiety, unnecessary testing, and overtreatment. Current guidelines suggest reporting clinically actionable secondary findings when diagnostic testing is performed. We examined preferences for receiving WGS results.

methodsA US nationally representative survey (n = 410 adults) was used to rank preferences for who decides (an expert panel, your doctor, you) which WGS results are reported. We estimated the value of information about variants with varying levels of clinical usefulness by using willingness to pay contingent valuation questions.

resultsThe results were as follows: 43% preferred to decide themselves what information is included in the WGS report. 38% (95% confidence interval (CI): 33-43%) would not pay for actionable variants, and 3% (95% CI: 1-5%) would pay more than $1,000. 55% (95% CI: 50-60%) would not pay for variants for which medical treatment is currently unclear, and 7% (95% CI: 5-9%) would pay more than $400.

conclusionMost people prefer to decide what WGS results are reported. Despite valuing actionable information more, some respondents perceive that genetic information could negatively impact them. Preference heterogeneity for WGS information should be considered in the development of policies, particularly to integrate patient preferences with personalized medicine and shared decision making.Genet Med 18 12, 1295-1302.

Indexed as

Health Care CostsAttitude to HealthDecision MakingGenome, HumanHigh-Throughput Nucleotide SequencingHumans

Identifiers

PMID27253734
PMCPMC5133139
OpenAlexW2471582053

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.