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Using synthetic datasets to better understand and explain health outcomes associated with common single nucleotide polymorphisms

2019-09-11

Abstract excerpt

<h4>ABSTRACT</h4> Due to decreasing costs and a move towards “personalised medicine”, the use of direct-to-consumer genetic analyses is increasing. Both consumers and healthcare practitioners must therefore be able to understand the true disease risks associated with common genetic single nucleotide polymorphisms (SNPs). However, most population studies of common SNPs only provide average (+/−error) phenotypic or...

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Literature Corpus work
1ea05a63-004e-5fef-b8a7-0780b7f01588
DOI
10.1101/765586
Open publication

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Using synthetic datasets to better understand and explain health outcomes associated with common single nucleotide polymorphismsDOI 10.1101/765586
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