Evidence map›Paper›PMID 26984047›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2016

Sociocultural variation in attitudes toward use of genetic information and participation in genetic research by race in the United States: implications for precision medicine.

Timothy Dye, Dongmei Li, Margaret Demment, Susan Groth, Diana Fernandez, Ann Dozier, Jack Chang

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
–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

20 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Mapping of Crowdsourcing in Health: Systematic Review.Journal of medical Internet research · 2018
    Pooled it
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  18. Parental preferences toward genomic sequencing for non-medically actionable conditions in children: a discrete-choice experiment.Genetics in medicine : official journal of the American College of Medical Genetics · 2018
    Article
  19. Precision medicine informatics.Journal of the American Medical Informatics Association : JAMIA · 2016
    Article
  20. 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

7 authors.

Timothy DyeClinical and Translational Science Institute, University of Rochester, Rochester, NY, USA tim_dye@urmc.rochester.edu.
Dongmei LiClinical and Translational Science Institute, University of Rochester, Rochester, NY, USA.
Margaret DemmentClinical and Translational Science Institute, University of Rochester, Rochester, NY, USA.
Susan GrothSchool of Nursing, University of Rochester, Rochester, NY, USA.
Diana FernandezPublic Health Sciences, University of Rochester, Rochester, NY, USA.
Ann DozierPublic Health Sciences, University of Rochester, Rochester, NY, USA.
Jack ChangClinical and Translational Science Institute, University of Rochester, Rochester, NY, USA.

Funding

The University of Rochester's Clinical and Translational Science InstituteUL1TR002001 · NCATS · UNIVERSITY OF ROCHESTER · PI WILSON, KAREN M., ZAND, MARTIN S · 2016 to 2024
$34.6M
The University of Rochester's Clinical and Translational Science InstituteUL1TR000042 · NCATS · UNIVERSITY OF ROCHESTER · PI BENNETT, NANCY M, KIEBURTZ, KARL D. · 2012 to 2015
$14.4M
NCATS NIH HHS UL1 TR000042
6 · The paper itself

Abstract

background"Precision medicine" (PM) requires researchers to identify actionable genetic risks and for clinicians to interpret genetic testing results to patients. Whether PM will equally benefit all populations or exacerbate existing disparities is uncertain.

methodsWe ascertained attitudes toward genetic testing and genetic research by race in the United States using the online Amazon mTurk US workforce (n = 403 White; n = 56 African American (AA)). Generalized linear models were used to test differences in beliefs and preferences by race, adjusting for sociodemographics and prior genetic experience.

resultsAA were less likely than White to believe that genetic tests should be promoted or made available. Further, AA were less likely to want genetic testing results or to participate in genetic research.

conclusionsImportant dimensions that underlay PM are not universally accepted by all populations. Without clear attention to concerns, AA communities may not equally benefit from the rapidly-emerging trend in PM-centered research and clinical practice.

Indexed as

Genetic ResearchGenetic TestingPrecision MedicineAttitude to HealthBlack or African AmericanHumansUnited StatesWhite PeopleAfrican-Americandisparitiesgenetic researchgenetic testingpersonalized medicineprecision medicinerace

Identifiers

PMID26984047
PMCPMC4926739

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.