A multi-marker association method for genome-wide association studies without the need for population structure correction

A multi-marker association method for genome-wide association studies without the need for population structure correction

Currently available methods for phenotype to genetic markers association need to account for population structure. Here, Klasen et al. devise a statistical method called Quantitative Trait Cluster Association Test (QTCAT) that overcomes the need for population structure correction.

Guardado en:
Detalles Bibliográficos
Autores principales: Jonas R. Klasen, Elke Barbez, Lukas Meier, Nicolai Meinshausen, Peter Bühlmann, Maarten Koornneef, Wolfgang Busch, Korbinian Schneeberger
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2016
Materias:
Science
Q
Acceso en línea:https://doaj.org/article/d056975db5004833bb8a7d22f407ddcd
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
Descripción
Sumario:Currently available methods for phenotype to genetic markers association need to account for population structure. Here, Klasen et al. devise a statistical method called Quantitative Trait Cluster Association Test (QTCAT) that overcomes the need for population structure correction.

Ejemplares similares