Assessing statistical significance in multivariable genome wide association analysis

Motivation: Although Genome Wide Association Studies (GWAS) genotype a very large number of single nucleotide polymorphisms (SNPs), the data are often analyzed one SNP at a time. The low predictive power of single SNPs, coupled with the high significance threshold needed to correct for multiple test...

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Detalles Bibliográficos
Autores principales: Buzdugan, Laura, Kalisch, Markus, Navarro, Arcadi, Schunk, Daniel, Fehr, Ernst, Bühlmann, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2016
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4920127/
https://www.ncbi.nlm.nih.gov/pubmed/27153677
http://dx.doi.org/10.1093/bioinformatics/btw128

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4920127/
https://www.ncbi.nlm.nih.gov/pubmed/27153677
http://dx.doi.org/10.1093/bioinformatics/btw128

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