Evidence map›Paper›PMID 9003127›Full record

ReviewAmerican journal of public health1996

From genes to public health: the applications of genetic technology in disease prevention. Genetics Working Group.

M J Khoury

Abstract readReview
In one paragraph

Review in American journal of public health, 1996. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–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

15 citing papers in PubMed.

  1. Article
  2. Worldwide Recall Rate in Newborn Screening Programs for Congenital Hypothyroidism.International journal of endocrinology and metabolism · 2017
    Review
  3. Article
  4. Article
  5. Article
  6. A population approach to precision medicine.American journal of preventive medicine · 2012
    Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Human variability and susceptibility to trichloroethylene.Environmental health perspectives · 2000
    Review
  14. Article
  15. Comment: genetics and public health.American journal of public health · 1996
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author.

M J KhouryBirth Defects and Genetics Diseases Branch, Centers for Disease Control and Prevention, Atlanta, GA 30341-3724, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesWith advances in the Human Genome Project, the implications of genetic technology in disease prevention should be assessed.

methodsThe paradigm suggested in The Future of Public Health--assessment, policy development, and assurance--was used to examine the continuum from genetic technology to public health practice.

resultsFirst, important public health functions are to (1) assess the impact of genes and their interactions with modifiable disease risk factors on the health status of the population and (2) assess the impact and safety of genetic testing on the population. Second, given the many implications of genetic testing, the public health community should participate in policy development related to the timing and use of genetic testing in disease prevention. Third, whenever appropriate, the public health community needs to ensure the development of public health genetics programs (e.g. newborn screening) and evaluate the quality and effectiveness of the use of genetic testing in disease prevention.

conclusionsAlthough most current genetic tests are not ready for disease prevention, there is an important role for the public health community in translating genetic technology into disease prevention.

Indexed as

Genetic TestingPublic HealthEthics, MedicalGenetic Carrier ScreeningGenetic Diseases, InbornGenetic ResearchGenetic TechniquesHumansUnited StatesGenetics and ReproductionHealth Care and Public HealthHuman Genome Project

Identifiers

PMID9003127
PMCPMC1380723

What OpenQuestion holds

Textmetadata
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.