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Summary

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English: Polygenic risk predictors predicts disease risk by selecting a subset of Single Nucleotide Polymorphisms (SNPs) – genetic variations at a single base pair in the DNA – and calculating a risk score as a function of these selected SNPs. The graph illustrates how many of these SNPs are located within, or close to, regions in the DNA that code for proteins. The horizontal axis describes the window sizes of the inclusions. At 0, only SNPs that are within coding regions are included whereas all SNPs within 30,000 base pairs from a coding region are included at the very right of the graph. The particular predictors in the graph were trained using the LASSO-algorithm.
Date
Source https://www.nature.com/articles/s41598-020-68881-8
Author Yong SY, Raben TG, Lello L, Hsu SD
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Captions

The fraction of predictor SNPs in various polygenic risk predictors that are within, or close to, protein coding regions; the horizontal axis denotes the inclusion also of SNPs that are within 0-30,000 base pairs from coding regions.

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13 February 2020

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current14:09, 3 May 2021Thumbnail for version as of 14:09, 3 May 20212,644 × 1,506 (915 KB)Stal potatenUploaded a work by Yong SY, Raben TG, Lello L, Hsu SD from https://www.biorxiv.org/content/10.1101/2020.02.12.946608v1.full with UploadWizard

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