Chances and challenges of machine learning based disease classification in genetic association studies illustrated on age-related macular degeneration

URN to cite this document:: urn:nbn:de:bvb:355-epub-446556
DOI to cite this document:: 10.5283/epub.44655

Günther, Felix

; Brandl, Caroline ; Winkler, Thomas W.

; Wanner, Veronika ; Stark, Klaus ; Kuechenhoff, Helmut ; Heid, Iris M.

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Date of publication of this fulltext: 28 Jan 2021 14:19

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Abstract

Imaging technology and machine learning algorithms for disease classification set the stage for high-throughput phenotyping and promising new avenues for genome-wide association studies (GWAS). Despite emerging algorithms, there has been no successful application in GWAS so far. We establish machine learning-based phenotyping in genetic association analysis as misclassification problem. To ...