Back to search

Article

Using synthetic datasets to bridge the gap between the promise and reality of basing health-related decisions on common single nucleotide polymorphisms

2019-12-30

Abstract excerpt

<h4>Background: </h4> While the academic genetic literature has clearly shown that common genetic single nucleotide polymorphisms (SNPs), and even large polygenic SNP risk scores, cannot reliably be used to determine risk of disease or to personalize interventions, a significant industry of companies providing SNP-based recommendations still exists. Healthcare practitioners must therefore be able to navigate betwe...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
7f7dfa22-d508-53da-9d0c-24f51163a3c6
DOI
10.12688/f1000research.21797.1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Using synthetic datasets to bridge the gap between the promise and reality of basing health-related decisions on common single nucleotide polymorphismsDOI 10.12688/f1000research.21797.1
Select a neighboring publication to make it the new centre.