Michael Arribas-Ayllon

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'Genetic responsibility' has emerged as a key notion for understanding how genetic risk reshapes patterns of choice, identification and obligation within families. Where previous research has examined the difficulties of managing responsibility for genetic testing and disclosure of the testing process and results, there is little work that examines these(More)
This paper examines the role of complexity in descriptions of the aetiology of common psychiatric disorders. While scientists attest to the discovery of an underlying reality of complex inheritance--the so-called 'witches' brew' of genetic and non-genetic factors--we argue that 'complexity' also performs rhetorical work. In our analysis of scientific review(More)
Genetic testing and (non)disclosure of genetic information present ethical and moral dilemmas for the management of parental responsibility vis-à-vis the child's autonomy. Ethical guidelines aimed at professionals currently seek to defer childhood testing where there is no clear medical or psychosocial benefit. This version of autonomy is derived from a(More)
Childhood genetic testing raises complex ethical and moral dilemmas for both families and professionals. In the family sphere, the role of communication is a key aspect in the transmission of ‘genetic responsibility’ between adults and children. In the professional sphere, genetic responsibility is an interactional accomplishment emerging from the sometimes(More)
INTRODUCTION OR BACKGROUND Genetic testing for rare Mendelian disorders represents the dominant ethical paradigm in clinical and professional practice. Predictive testing for Huntington's disease is the model against which other kinds of genetic testing are evaluated, including testing for Alzheimer's disease. SOURCES OF DATA This paper retraces the(More)
The authors present a system developed for the 2011 i2b2 Challenge on Sentiment Classification, whose aim was to automatically classify sentences in suicide notes using a scheme of 15 topics, mostly emotions. The system combines machine learning with a rule-based methodology. The features used to represent a problem were based on lexico-semantic properties(More)
As part of personalised medicine emerging from the human genomics revolution, many websites now offer direct-to-consumer genetic testing. Here, we examine three personal genomics companies--Navigenics, deCODEme and 23andMe--each of which represents contrasting registers of 'personalisation'. We identify three distinctive registers in these websites: a(More)
In this paper we investigate the role of idioms in automated approaches to sentiment analysis. To estimate the degree to which the inclusion of idioms as features may potentially improve the results of traditional sentiment analysis, we compared our results to two such methods. First, to support idioms as features we collected a set of 580 idioms that are(More)
& On page 2, under the heading ‘Introduction’, the data BStudies have highlighted the benefits of providing education about aetiology^ on the first sentence of the seventh paragraph has been deleted. It should read, BStudies have highlighted the benefits of providing education about aetiology (DeLisi and Bertisch 2006; Austin and Honer 2008) for affected(More)
The concept of geneticization belongs to a style of thinking within the social sciences that refers to wide-ranging processes and consequences of genetic knowledge. Lippman's original use of the term was political, anticipating the onerous consequences of genetic reductionism and determinism, while more recent engagements emphasise the productivity and(More)