Evidence map›Paper›PMID 23412608›Full record

ReviewGenetics in medicine : official journal of the American College of Medical Genetics2013

How can polygenic inheritance be used in population screening for common diseases?

Muin J Khoury, A Cecile J W Janssens, David F Ransohoff

Registry-linked trialAbstract readReview
In one paragraph

Review in Genetics in medicine : official journal of the American College of Medical Genetics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04331535 (Pragmatic Randomized Trial of Polygenic Risk Scoring for Common Diseases in Primary Care), which is not on this map. Cited by 34 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 3 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.

NCT04331535 naunknown statusnot on this mapstarted 2020, after this paper: background citation

Pragmatic Randomized Trial of Polygenic Risk Scoring for Common Diseases in Primary Care

TypeinterventionalSponsorBoston VA Research Institute, Inc.Ran2020 to 2025Enrolled1,076ConditionsCoronary Artery Disease, Atrial Fibrillation, Type 2 Diabetes, Colorectal CancerArmsPolygenic risk score (PRS)
3 · Its place in the literature

Who cites it

34 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Family history and the natural history of colorectal cancer: systematic review.Genetics in medicine : official journal of the American College of Medical Genetics · 2015
    Pooled it
  3. Pooled it
  4. High-Resolution Melting PCR-Based SNP Germline Genotyping ofDiagnostics (Basel, Switzerland) · 2026
    Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Cost-Effectiveness of Personalized Screening for Colorectal Cancer Based on Polygenic Risk and Family History.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2020
    Article
  15. The illusion of polygenic disease risk prediction.Genetics in medicine : official journal of the American College of Medical Genetics · 2019
    Article
  16. Article
  17. Article
  18. Genetic profiling of decreased bone mineral density in an independent sample of Caucasian women.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2018
    Article
  19. Article
  20. Review
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

3 authors.

Muin J KhouryOffice of Public Health Genomics, Centers for Disease Control and Prevention, Atlanta, Georgia, USA. mkhoury@cdc.gov
A Cecile J W Janssens
David F Ransohoff

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

Advances in genomics have near-term impact on diagnosis and management of monogenic disorders. For common complex diseases, the use of genomic information from multiple loci (polygenic model) is generally not useful for diagnosis and individual prediction. In principle, the polygenic model could be used along with other risk factors in stratified population screening to target interventions. For example, compared to age-based criterion for breast, colorectal, and prostate cancer screening, adding polygenic risk and family history holds promise for more efficient screening with earlier start and/or increased frequency of screening for segments of the population at higher absolute risk than an established screening threshold; and later start and/or decreased frequency of screening for segments of the population at lower risks. This approach, while promising, faces formidable challenges for building its evidence base and for its implementation in practice. Currently, it is unclear whether or not polygenic risk can contribute enough discrimination to make stratified screening worthwhile. Empirical data are lacking on population-based age-specific absolute risks combining genetic and non-genetic factors, on impact of polygenic risk genes on disease natural history, as well as information on comparative balance of benefits and harms of stratified interventions. Implementation challenges include difficulties in integration of this information in the current health-care system in the United States, the setting of appropriate risk thresholds, and ethical, legal, and social issues. In an era of direct-to-consumer availability of personal genomic information, the public health and health-care systems need to prepare for an evidence-based integration of this information into population screening.

Indexed as

Mass ScreeningMultifactorial InheritanceEvidence-Based MedicineFemaleGenetic TestingGenomicsHumansMaleNeoplasmsPrecision Medicine

Identifiers

PMID23412608
PMCPMC4692802

What OpenQuestion holds

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Registered trials

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.