Evidence map›Paper›PMID 36207733›Full record

ArticleGenome medicine2022

Patient and provider perspectives on polygenic risk scores: implications for clinical reporting and utilization.

Anna C F Lewis, Emma F Perez, Anya E R Prince, Hana R Flaxman, Lizbeth Gomez, Deanna G Brockman, Paulette D Chandler, Benjamin J Kerman, Matthew S Lebo, Jordan W Smoller and 6 more

Open access · goldAbstract read
In one paragraph

Article in Genome medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed, 1 pooled it
21.1field-weighted citation impact, top 1% 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

56 citing papers in PubMed, 1 synthesis or guideline pooled it, 84 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Trial
  5. Primary care physician use of patient race and polygenic risk scores in medical decision-making.Genetics in medicine : official journal of the American College of Medical Genetics · 2023
    Trial
  6. Article
  7. Article
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  9. Decision-making criteria in polygenic embryo screening: A survey of reproductive medicine physicians.Genetics in medicine : official journal of the American College of Medical Genetics · 2026
    Article
  10. Article
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  16. Review
  17. GP perspectives on genomics in primary care: a qualitative study on using polygenic risk scores to evaluate cancer risk.The British journal of general practice : the journal of the Royal College of General Practitioners · 2026
    Article
  18. Article
  19. Review
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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

16 authors at 6 institutions in 1 country.

Anna C F LewisE.J. Safra Center for Ethics, Harvard University, Cambridge, USA. annalewis@fas.harvard.edu.ORCID 0000-0002-1274-386X
Emma F PerezDepartment of Medicine, Brigham and Women's Hospital, Boston, MA, USA.
Anya E R PrinceCollege of Law, University of Iowa, Iowa City, IA, USA.
Hana R FlaxmanWeill Cornell Medical College, New York City, NY, USA.
Lizbeth GomezMass General Brigham Personalized Medicine, Boston, MA, USA.
Deanna G BrockmanColor Health, Burlingame, CA, USA.
Paulette D ChandlerDepartment of Medicine, Brigham and Women's Hospital, Boston, MA, USA.
Benjamin J KermanDepartment of Medicine, Brigham and Women's Hospital, Boston, MA, USA.
Matthew S LeboMass General Brigham Personalized Medicine, Boston, MA, USA.
Jordan W SmollerCenter for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA.
Scott T WeissDepartment of Medicine, Brigham and Women's Hospital, Boston, MA, USA.
Carrie L Blout ZawatksyDepartment of Medicine, Brigham and Women's Hospital, Boston, MA, USA.
James B MeigsHarvard Medical School, Boston, MA, USA.
Robert C GreenDepartment of Medicine, Brigham and Women's Hospital, Boston, MA, USA.
Jason L VassyHarvard Medical School, Boston, MA, USA.
Elizabeth W KarlsonDepartment of Medicine, Brigham and Women's Hospital, Boston, MA, USA.
Brigham and Women's Hospital · USBroad Institute · USColor (United States) · USCornell University · USMass General Brigham · USUniversity of Iowa · US

Funding

Finding Genomic Profiles of COVID-19 Phenotypes from the EHRU01HG008685 · NHGRI · BRIGHAM AND WOMEN'S HOSPITAL · PI ELIZABETH W KARLSON, Matthew S Lebo · 2015 to 2026
$13.6M
Pragmatic randomized trial of polygenic risk scoring for common diseases in primary careR35HG010706 · NHGRI · HARVARD MEDICAL SCHOOL · PI VASSY, JASON L · 2019 to 2024
$2.6M
NHGRI NIH HHS R35 HG010706NHGRI NIH HHS U01 HG008685NHGRI NIH HHS U01HG008685
6 · The paper itself

Abstract

backgroundPolygenic risk scores (PRS), which offer information about genomic risk for common diseases, have been proposed for clinical implementation. The ways in which PRS information may influence a patient's health trajectory depend on how both the patient and their primary care provider (PCP) interpret and act on PRS information. We aimed to probe patient and PCP responses to PRS clinical reporting choices

methodsQualitative semi-structured interviews of both patients (N=25) and PCPs (N=21) exploring responses to mock PRS clinical reports of two different designs: binary and continuous representations of PRS.

resultsMany patients did not understand the numbers representing risk, with high numeracy patients being the exception. However, all the patients still understood a key takeaway that they should ask their PCP about actions to lower their disease risk. PCPs described a diverse range of heuristics they would use to interpret and act on PRS information. Three separate use cases for PRS emerged: to aid in gray-area clinical decision-making, to encourage patients to do what PCPs think patients should be doing anyway (such as exercising regularly), and to identify previously unrecognized high-risk patients. PCPs indicated that receiving "below average risk" information could be both beneficial and potentially harmful, depending on the use case. For "increased risk" patients, PCPs were favorable towards integrating PRS information into their practice, though some would only act in the presence of evidence-based guidelines. PCPs describe the report as more than a way to convey information, viewing it as something to structure the whole interaction with the patient. Both patients and PCPs preferred the continuous over the binary representation of PRS (23/25 and 17/21, respectively). We offer recommendations for the developers of PRS to consider for PRS clinical report design in the light of these patient and PCP viewpoints.

conclusionsPCPs saw PRS information as a natural extension of their current practice. The most pressing gap for PRS implementation is evidence for clinical utility. Careful clinical report design can help ensure that benefits are realized and harms are minimized.

Indexed as

Clinical Decision-MakingPrimary Health CareHumansRisk FactorsPersonalized medicinePolygenic risk scoresPreventative medicineQualitative semi-structured interviewsReport design

Identifiers

PMID36207733
PMCPMC9540716
OpenAlexW4303419105

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.