Disease model distortion in association studies
Most findings from genome-wide association studies (GWAS) are consistent with a simple disease model at a singel nucleotide polymorphism, in which each additional copy of the risk allele increases risk by the same multiplicative factor, in contrast to dominance or interaction effects. As others have...
Main Authors: | Vukcevic, D, Hechter, E, Spencer, C, Donnelly, P |
---|---|
Format: | Journal article |
Language: | English |
Published: |
Wiley
2011
|
Subjects: |
Similar Items
-
Quantifying the underestimation of relative risks from genome-wide association studies
by: Spencer, C, et al.
Published: (2011) -
A robust clustering algorithm for identifying problematic samples in genome-wide association studies
by: Bellenguez, C, et al.
Published: (2012) -
A flexible and accurate genotype imputation method for the next generation of genome-wide association studies
by: Howie, B, et al.
Published: (2009) -
QuantiSNP: an Objective Bayes Hidden-Markov Model to detect and accurately map copy number variation using SNP genotyping data
by: Colella, S, et al.
Published: (2007) -
Graphical models for associations between variables, some of which are quantitative and some qualitative
by: Lauritzen, S, et al.
Published: (1989)