Improving power of genome-wide association studies via transforming ordinal phenotypes into continuous phenotypes.

ABSTRACT:

Introduction

Ordinal traits are important complex traits in crops, while genome-wide association study (GWAS) is a widely-used method in their gene mining. Presently, GWAS of continuous quantitative traits (C-GWAS) and single-locus association analysis method of ordinal traits are the main methods used for ordinal traits. However, the detection power of these two methods is low.

Methods

To address this issue, we proposed a new method, named MTOTC, in which hierarchical data of ordinal traits are transformed into continuous phenotypic data (CPData).

Results

Then, FASTmrMLM, one C-GWAS method, was used to conduct GWAS for CPData. The results from the simulation studies showed that, MTOTC+FASTmrMLM for ordinal traits was better than the classical methods when there were

SUBMITTER: Yang M 

PROVIDER: S-EPMC10652869 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature