Evidence map›Paper›PMID 23583311›Full record

ArticleGenomics2013

Behavioral and psychosocial responses to genomic testing for colorectal cancer risk.

Kristi D Graves, Kara-Grace Leventhal, Rachel Nusbaum, Yasmin Salehizadeh, Gillian W Hooker, Beth N Peshkin, Morgan Butrick, William Tuong, Jeena Mathew, David Goerlitz and 3 more

Open access · greenAbstract read
In one paragraph

Article in Genomics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 14% 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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Trial
  5. Article
  6. Article
  7. Uptake of Polygenic Risk Testing for Glaucoma in Unaffected Individuals.Translational vision science & technology · 2026
    Article
  8. Article
  9. Review
  10. Risk-Stratified Screening for Colorectal Cancer Using Genetic and Environmental Risk Factors: A Cost-Effectiveness Analysis Based on Real-World Data.Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association · 2023
    Article
  11. Uptake of Genetic Research Results and Patient-Reported Outcomes With Return of Results Incorporating Web-Based Predisclosure Education.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2023
    Article
  12. Article
  13. Article
  14. Perspectives of diverse Spanish- and English-speaking patients on the clinical use of polygenic risk scores.Genetics in medicine : official journal of the American College of Medical Genetics · 2022
    Article
  15. Fear of cancer recurrence in patients undergoing germline genome sequencing.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2021
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. How Do Patients Respond to Genetic Testing for Age-related Macular Degeneration?Optometry and vision science : official publication of the American Academy of Optometry · 2018
    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

13 authors at 4 institutions in 1 country.

Kristi D GravesCancer Prevention and Control Program and the Fisher Center for Familial Cancer Research, Lombardi Comprehensive Cancer Center, Georgetown University, 3300 Whitehaven Street, NW, Suite 4100, Washington, DC 20007, USA. kdg9@georgetown.edu
Kara-Grace Leventhal
Rachel Nusbaum
Yasmin Salehizadeh
Gillian W Hooker
Beth N Peshkin
Morgan Butrick
William Tuong
Jeena Mathew
David Goerlitz
Mary B Fishman
Peter G Shields
Marc D Schwartz
Georgetown University · USNational Institutes of Health · USNYU Langone Health · USThe Ohio State University Comprehensive Cancer Center – Arthur G. James Cancer Hospital and Richard J. Solove Research Institute · US

Funding

Tissue Culture Shared ResourceP30CA051008 · NCI · GEORGETOWN UNIVERSITY · PI Louis M Weiner · 1990 to 2026
$71.5M
The Role of Behavioral Science in Personalized Genetic MedicineK07CA131172 · NCI · GEORGETOWN UNIVERSITY · PI GRAVES, KRISTI D. · 2008 to 2012
$785k
NCI NIH HHS K07 CA131172NCI NIH HHS P30 CA051008
6 · The paper itself

Abstract

We conducted a translational genomic pilot study to evaluate the impact of genomic information related to colorectal cancer (CRC) risk on psychosocial, behavioral and communication outcomes. In 47 primary care participants, 96% opted for testing of three single nucleotide polymorphisms (SNPs) related to CRC risk. Participants averaged 2.5 of 6 possible SNP risk alleles (10% lifetime risk). At 3-months, participants did not report significant increases in cancer worry/distress; over half reported physical activity and dietary changes. SNP risk scores were unrelated to behavior change at 3-months. Many participants (64%) shared their SNP results, including 28% who shared results with a physician. In this pilot, genomic risk education, including discussion of other risk factors, appeared to impact patients' health behaviors, regardless of the level of SNP risk. Future work can compare risk education with and without SNP results to evaluate if SNP information adds value to existing approaches.

Indexed as

Genetic TestingHealth BehaviorHealth Knowledge, Attitudes, PracticeAdultAgedAged, 80 and overColorectal NeoplasmsFemaleGenetic Predisposition to DiseaseHumansMaleMiddle AgedPolymorphism, Single NucleotideRiskBehavior changeColorectal cancer riskGenomic educationSNP testingTranslational genomic research

Identifiers

PMID23583311
PMCPMC3729872
OpenAlexW1990141326

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.