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Genetic testing: ethical aspects

Overview of attention for article published in Open Medicine, July 2018
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Title
Genetic testing: ethical aspects
Published in
Open Medicine, July 2018
DOI 10.1515/med-2018-0038
Pubmed ID
Authors

Paola Bin, Adelaide Conti, Emanuele Capasso, Piergiorgio Fedeli, Fabio Policino, Claudia Casella, Paola Delbon, Vincenzo Graziano

Abstract

The aim of this article is to provide an analysis of the main issues related to the application of predictive medicine by analysing the most significant ethical implications. Genetic medicine is indeed a multidisciplinary matter that covers broad contexts, sometimes transversely. Its extreme complexity, coupled with possible perceived repercussions on an individual's life, involves important issues in the ethical, deontological and legal medical field. The aspects related to the execution of genetic testing have to be addressed at different levels, starting with the correct information about the "cognitive" meaning they intend (by forcefully disassociating it from the strange "preventive aspect") to the legal medical issues that can be aroused in the field of forensic pathology, medical responsibility and insurance. There is no doubt that in recent years, from the decoding of the human genome, genetic research has exponentially expanded with an equally exponential increase in its use in clinical practice and the ethical and social evolution of it.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 10 30%
Researcher 4 12%
Student > Ph. D. Student 4 12%
Student > Master 3 9%
Other 1 3%
Other 1 3%
Unknown 10 30%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 21%
Medicine and Dentistry 7 21%
Agricultural and Biological Sciences 3 9%
Nursing and Health Professions 2 6%
Immunology and Microbiology 1 3%
Other 3 9%
Unknown 10 30%