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Mendeley readers
Attention Score in Context
| Title |
Genetic markers as a predictive tool based on statistics in medical practice: ethical considerations through the analysis of the use of HLA-B*27 in rheumatology in France
|
|---|---|
| Published in |
Frontiers in Genetics, October 2015
|
| DOI | 10.3389/fgene.2015.00299 |
| Pubmed ID | |
| Authors |
Hélène Colineaux, Adeline Ruyssen-Witrand, Anne Cambon-Thomsen |
| Abstract |
The use of genetic predictive markers in medical practice does not necessarily bear the same kind of medical and ethical consequences than that of genes directly involved in monogenic diseases. However, the French bioethics law framed in the same way the production and use of any genetic information. It seems therefore necessary to explore the practical and ethical context of the actual use of predictive markers in order to highlight their specific stakes. In this study, we document the uses of HLA-B(*)27, which are an interesting example of the multiple features of genetic predictive marker in general medical practice. The aims of this monocentric and qualitative study were to identify concrete and ethical issues of using the HLA-B(*)27 marker and the interests and limits of the legal framework as perceived by prescribers. In this regard, a thematic and descriptive analysis of five rheumatologists' semi-structured and face-to-face interviews was performed. According to most of the interviewees, HLA-B(*)27 is an "overframed" test because they considered that this test is not really genetic or at least does not have the same nature as "classical genetic tests"; HLA-B(*)27 is not concerned by the ethical challenges of genetic test; the major ethics stake of this marker is not linked to its genetic nature but rather to the complexity of the probabilistic information. This study allows also showing that HLA-B(*)27, validated for a certain usage, may be used in different ways in practice. This marker and its clinical uses underline the challenges of translating both statistical concepts and unifying legal framework in clinical practice. This study allows identifying some new aspects and stakes of genetics in medicine and shows the need of additional studies about the use of predictive genetic markers, in order to provide a better basis for decisions and legal framework regarding these practices. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| South Africa | 1 | 5% |
| Unknown | 21 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 18% |
| Student > Ph. D. Student | 3 | 14% |
| Student > Bachelor | 2 | 9% |
| Professor | 2 | 9% |
| Student > Doctoral Student | 2 | 9% |
| Other | 6 | 27% |
| Unknown | 3 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 10 | 45% |
| Biochemistry, Genetics and Molecular Biology | 3 | 14% |
| Agricultural and Biological Sciences | 2 | 9% |
| Business, Management and Accounting | 1 | 5% |
| Nursing and Health Professions | 1 | 5% |
| Other | 2 | 9% |
| Unknown | 3 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 October 2015.
All research outputs
#18,429,163
of 22,830,751 outputs
Outputs from Frontiers in Genetics
#7,047
of 11,822 outputs
Outputs of similar age
#201,437
of 280,050 outputs
Outputs of similar age from Frontiers in Genetics
#50
of 61 outputs
Altmetric has tracked 22,830,751 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,822 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 27th percentile – i.e., 27% of its peers scored the same or lower than it.
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We're also able to compare this research output to 61 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.