Evidence map›Paper›PMID 19888293›Full record

ReviewEuropean journal of human genetics : EJHG2010

Ethical implications of the use of whole genome methods in medical research.

Jane Kaye, Paula Boddington, Jantina de Vries, Naomi Hawkins, Karen Melham

Abstract readReview
In one paragraph

Review in European journal of human genetics : EJHG, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 2 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.

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

28 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  17. Incidental findings: the time is not yet ripe for a policy for biobanks.European journal of human genetics : EJHG · 2014
    Article
  18. Article
  19. Review
  20. Role of non-HLA gene polymorphisms in graft-versus-host disease.International journal of hematology · 2013
    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

5 authors.

Jane KayeDepartment of Public Health, Ethox Centre, University of Oxford, Headington, DPHPC, Old Road Campus, Headington, Oxford, Oxon OX3 7LF, UK. jane.kaye@ethox.ox.ac.uk
Paula Boddington
Jantina de Vries
Naomi Hawkins
Karen Melham

Funding

Wellcome Trust 081407Wellcome Trust WT 076070/Z/04/ZWellcome Trust WT 077869/Z/05/ZWellcome Trust WT 083326/Z/07/Z
6 · The paper itself

Abstract

The use of genome-wide association studies (GWAS) in medical research and the increased ability to share data give a new twist to some of the perennial ethical issues associated with genomic research. GWAS create particular challenges because they produce fine, detailed, genotype information at high resolution, and the results of more focused studies can potentially be used to determine genetic variation for a wide range of conditions and traits. The information from a GWA scan is derived from DNA that is a powerful personal identifier, and can provide information not just on the individual, but also on the individual's relatives, related groups, and populations. Furthermore, it creates large amounts of individual-specific digital information that is easy to share across international borders. This paper provides an overview of some of the key ethical issues around GWAS: consent, feedback of results, privacy, and the governance of research. Many of the questions that lie ahead of us in terms of the next generation sequencing methods will have been foreshadowed by GWAS and the debates around ethical and policy issues that these have created.

Indexed as

Ethics, MedicalGenome, HumanGenome-Wide Association StudyBiomedical ResearchGenetic PrivacyHumans

Identifiers

PMID19888293
PMCPMC2879322

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.