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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Bibliografiset tiedot
Julkaisussa:Sci Rep
Päätekijät: 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
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: Nature Publishing Group 2016
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Article
Linkit: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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