Transformation Of A Quantitative Trait In Gwas
Hi there,
I want to perform GWAS on different quantitative traits that follow different distributions.
Some traits follow a near-normal distribution so I can normalize them by using Inverse Normal Transformation (by the way is this necessary?). While other traits follow an exponential distribution with many individuals (y-axis) with a value of 0 (x-axis) as is shown in the image below. Do I need to transform this distribution to normal and if so, how can I do it?
Many thanks guys
0 answers
No answers yet.
Log in to answer this question.
More posts like this
-
GWAS on traits non-normally distributed
written by Noctiluca •
-
Does PRS distribution of target data should follow gaussian distribution?
written by bubgoose •
-
Phenotype data normalization prior to GWAS
written by antmantras •
-
Blog: Harnessing genetic diversity in wheat and its wild relatives for disease resistance
written by Novogene •
-
Tutorial: Unsupervised clustering on gene expression data
written by Hamid Ghaedi
-
normalization RNASeq Data for QTL analysis
written by Linda •
-
Deflated P-values (GWAS)
written by solanum •
-
Normalization of Ordinal-Categorical data in GWAS
written by kakukeshi
-
Tutorial: Survival analysis of TCGA patients integrating gene expression (RNASeq) data
written by TriS
