Combining Multiple Hypothesis Testing with Machine Learning Increases the Statistical Power of Genome-wide Association Studies

The standard approach to the analysis of genome-wide association studies (GWAS) is based on testing each position in the genome individually for statistical significance of its association with the phenotype under investigation. To improve the analysis of GWAS, we propose a combination of machine le...

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Veröffentlicht in:Sci Rep
Hauptverfasser: Mieth, Bettina, Kloft, Marius, Rodríguez, Juan Antonio, Sonnenburg, Sören, Vobruba, Robin, Morcillo-Suárez, Carlos, Farré, Xavier, Marigorta, Urko M., Fehr, Ernst, Dickhaus, Thorsten, Blanchard, Gilles, Schunk, Daniel, Navarro, Arcadi, Müller, Klaus-Robert
Format: Artigo
Sprache:Inglês
Veröffentlicht: Nature Publishing Group 2016
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Article
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC5125008/
https://ncbi.nlm.nih.gov/pubmed/27892471
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/srep36671
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