High-Performance Mixed Models Based Genome-Wide Association Analysis with omicABEL software

To raise the power of genome-wide association studies (GWAS) and avoid false-positive results in structured populations, one can rely on mixed model based tests. When large samples are used, and when multiple traits are to be studied in the ’omics’ context, this approach becomes computationally chal...

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Detalles Bibliográficos
Autores principales: Fabregat-Traver, Diego, Sharapov, Sodbo Zh., Hayward, Caroline, Rudan, Igor, Campbell, Harry, Aulchenko, Yurii, Bientinesi, Paolo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000Research 2014
Materias:
Software Tool Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4329600/
https://www.ncbi.nlm.nih.gov/pubmed/25717363
http://dx.doi.org/10.12688/f1000research.4867.1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4329600/
https://www.ncbi.nlm.nih.gov/pubmed/25717363
http://dx.doi.org/10.12688/f1000research.4867.1

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