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Genomica e discriminazione

Authors: Giulia Perri;

Genomica e discriminazione

Abstract

A partire dal 1990 – quando ebbe inizio uno dei maggiori progetti di ri- cerca nell’ambito della scienza moderna: il Progetto Genoma Umano – si svilupparono strumenti sempre più all’avanguardia per decodificare il corredo genetico degli individui, identificando i tratti del DNA alla base di molte malattie e i geni che le provocano. Tali strumenti, noti come test genetici predittivi, hanno creato una nuova categoria di soggetti potenzialmente a rischio di discriminazione, i c.d. unpatients, individui ‘sani’ ma con una particolare suscettibilità a specifiche sostanze presenti nei luoghi di lavoro idonee, a causa del contatto prolungato, a determinare l’insorgere di talune malattie. Tali informazioni – potenzialmente utili in ottica di prevenzione – celano possibili abusi dei datori di lavoro, che potrebbero essere tentati da un utilizzo distorto di esse, quale la mancata assunzione di un soggetto con una suscettibilità o predisposizione nota.

Country
Italy
Related Organizations
Keywords

Genetica e diritto; Discriminazione genetica; Discriminazione sul luogo di lavoro

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green