Evidence map›Paper›PMID 27657683›Full record

ArticleGenetics in medicine : official journal of the American College of Medical Genetics2017

Prescription medication changes following direct-to-consumer personal genomic testing: findings from the Impact of Personal Genomics (PGen) Study.

Deanna Alexis Carere, Tyler J VanderWeele, Jason L Vassy, Cathelijne H van der Wouden, J Scott Roberts, Peter Kraft, Robert C Green

Open access · bronzeAbstract read
In one paragraph

Article in Genetics in medicine : official journal of the American College of Medical Genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 2 pooled it
5.5field-weighted citation impact, top 5% 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

23 citing papers in PubMed, 2 syntheses or guidelines pooled it, 48 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Health care utilization and behavior changes after workplace genetic testing at a large US health care system.Genetics in medicine : official journal of the American College of Medical Genetics · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Evaluating the extent of reusability of CYP2C19 genotype data among patients genotyped for antiplatelet therapy selection.Genetics in medicine : official journal of the American College of Medical Genetics · 2020
    Article
  17. Article
  18. Article
  19. Review
  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 at 6 institutions in 3 countries.

Deanna Alexis CarereDepartment of Pathology and Molecular Medicine, McMaster University, Hamilton, Ontario, Canada.
Tyler J VanderWeeleDepartment of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, USA.
Jason L VassyDivision of General Medicine and Primary Care, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Cathelijne H van der WoudenDepartment of Clinical Pharmacy and Toxicology, Leiden University Medical Center, Leiden, The Netherlands.ORCID 0000-0002-7728-8802
J Scott RobertsDepartment of Health Behavior and Health Education, University of Michigan School of Public Health, Ann Arbor, Michigan, USA.
Peter KraftDepartment of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, USA.ORCID 0000-0002-4472-8103
Robert C GreenHarvard Medical School, Boston, Massachusetts, USA.
Harvard University · USBrigham and Women's Hospital · USBroad Institute · USLeiden University Medical Center · NLMcMaster University · CAMichigan Department of Health and Human Services · US

Funding

Resource ProjectU41HG006834 · NHGRI · BRIGHAM AND WOMEN'S HOSPITAL · PI REHM, HEIDI L · 2013 to 2020
$26.9M
Trial of risk mangement for prevention of accelerated atherosclerosis in SLEP60AR047782 · NIAMS · BRIGHAM AND WOMEN'S HOSPITAL · PI LOSINA, ELENA · 2001 to 2016
$18.8M
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
Integration of Whole Genome Sequencing into Clinical MedicineU01HG006500 · NHGRI · BRIGHAM AND WOMEN'S HOSPITAL · PI GREEN, ROBERT C. · 2012 to 2016
$11.5M
Harvard Clinical and Translational Science CenterKL2TR001100 · NCATS · HARVARD MEDICAL SCHOOL · PI NADLER, LEE MARSHALL · 2013 to 2017
$8.5M
Genome Sequence-Based Screening for Childhood Risk and Newborn IllnessU19HD077671 · NICHD · BRIGHAM AND WOMEN'S HOSPITAL · PI BEGGS, ALAN H., GREEN, ROBERT C. · 2013 to 2018
$6.1M
Disclosing Genomic Incidental Findings in a Cancer Biobank: An ELSI ExperimentR01CA154517 · NCI · MAYO CLINIC ROCHESTER · PI KOENIG, BARBARA A., PETERSEN, GLORIA M. · 2011 to 2015
$2.7M
Impact of Direct to Consumer Genetic TestingR01HG005092 · NHGRI · BRIGHAM AND WOMEN'S HOSPITAL · PI GREEN, ROBERT C., ROBERTS, SCOTT · 2010 to 2012
$1.1M
Returning research results in children: Parental Preferences and Expert OversightR01HG006615 · NHGRI · BOSTON CHILDREN'S HOSPITAL · PI HOLM, INGRID ADELE · 2011 to 2013
$361k
Clinical safety and efficacy of pharmacogenetics in Veteran careIK2CX001262 · VA · VA BOSTON HEALTH CARE SYSTEM · PI VASSY, JASON L · 2016 to 2021
–
CSRD VA IK2 CX001262NCATS NIH HHS KL2 TR001100NCI NIH HHS R01 CA154517NHGRI NIH HHS R01 HG005092NHGRI NIH HHS R01 HG006615NHGRI NIH HHS U01 HG006500NHGRI NIH HHS U01 HG008685NHGRI NIH HHS U41 HG006834NIAMS NIH HHS P60 AR047782NICHD NIH HHS U19 HD077671
6 · The paper itself

Abstract

purposeTo measure the frequency of prescription medication changes following direct-to-consumer personal genomic testing (DTC-PGT) and their association with the pharmacogenomic results received.

methodsNew DTC-PGT customers were enrolled in 2012 and completed surveys prior to the return of results and 6 months after results; DTC-PGT results were linked to survey data. "Atypical response" pharmacogenomic results were defined as those indicating an increase or decrease in risk of an adverse drug event or likelihood of therapeutic benefit. At follow-up, participants reported prescription medication changes and health-care provider consultation.

resultsFollow-up data were available from 961 participants, of whom 54 (5.6%) reported changing a medication they were taking or starting a new medication due to their DTC-PGT results. Of these, 45 (83.3%) reported consulting with a health-care provider regarding the change. Pharmacogenomic results were available for 961 participants, of which 875 (91.2%) received one or more atypical response results. For each such result received, the odds of reporting a prescription medication change increased 1.57 times (95% confidence interval = 1.17, 2.11).

conclusionReceipt of pharmacogenomic results indicating an atypical drug response is common with DTC-PGT and is associated with prescription medication changes; however, fewer than 1% of consumers report unsupervised changes at 6 months after testing.Genet Med advance online publication 22 September 2016.

Indexed as

Consumer BehaviorAdultAgedDirect-To-Consumer Screening and TestingFemaleGenetic TestingGenomicsHealth Knowledge, Attitudes, PracticeHumansMaleMiddle AgedPharmacogeneticsPrescription DrugsSurveys and QuestionnairesUnited StatesYoung AdultPrescription Drugs

Identifiers

PMID27657683
PMCPMC5362351
OpenAlexW2522860656

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.