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Article

A rapid epistatic mixed-model association analysis by linear retransformations of genomic estimated values.

Bioinformatics (Oxford, England) - 1 Jun 2018

Ning Chao, Wang Dan, Kang Huimin, Mrode Raphael, Zhou Lei, Xu Shizhong, Liu Jian-Feng

Abstract excerpt

Motivation: Epistasis provides a feasible way for probing potential genetic mechanism of complex traits. However, time-consuming computation challenges successful detection of interaction in practice, especially when linear mixed model (LMM) is used to control type I error in the presence of population structure and cryptic relatedness. Results: A rapid epistatic mixed-model association analysis (REMMA) method...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 29342229
DOI: 10.1093/bioinformatics/bty017
PMCID: PMC5972602

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