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easyGWAS: A central resource for efficient performance of genome-wide association studies

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Grimm,  D
Department Molecular Biology, Max Planck Institute for Developmental Biology, Max Planck Society;

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Greshake,  B
Department Molecular Biology, Max Planck Institute for Developmental Biology, Max Planck Society;

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Stegle,  O
Department Molecular Biology, Max Planck Institute for Developmental Biology, Max Planck Society;

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Lippert,  C
Department Molecular Biology, Max Planck Institute for Developmental Biology, Max Planck Society;

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Weigel,  D       
Department Molecular Biology, Max Planck Institute for Developmental Biology, Max Planck Society;

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Borgwardt,  K
Department Molecular Biology, Max Planck Institute for Developmental Biology, Max Planck Society;

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Citation

Grimm, D., Greshake, B., Stegle, O., Lippert, C., Schölkopf, B., Weigel, D., et al. (2012). easyGWAS: A central resource for efficient performance of genome-wide association studies.


Cite as: https://hdl.handle.net/21.11116/0000-000B-5E9A-F
Abstract
A genome-wide association (GWA) study examines, whether structural variations such as single nucleotide poly-morphisms (SNPs) are associated with a specific phenotypic trait[1, 2]. SNPs are positioned over the whole genome and have a single nucleotide variation. They are tagged within a population of individuals of a certain species. Phenotypes can be observed or measured characteristics. Typically phenotypes are encoded as binary or continuous.