Feb 18, 2016

SNP-based heritability estimation: measurement noise, population stratification and stability

BioRxiv : the Preprint Server for Biology
Eric R Gamazon, Danny S Park

Abstract

Siddharth Krishna Kumar and co-authors claim to have shown that "GCTA applied to current SNP data cannot produce reliable or stable estimates of heritability." Given the numerous recent studies on the genetic architecture of complex traits that are based on this methodology, these claims have important implications for the field. Through an investigation of the stability of the likelihood function under phenotype perturbation and an analysis of its dependence on the spectral properties of the genetic relatedness matrix, our study characterizes the properties of an important approach to the analysis of GWAS data and identified crucial errors in the authors' analyses, invalidating their main conclusions.

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Mentioned in this Paper

Genome-Wide Association Study
Study
Stratification
Likelihood Functions
Extracellular Matrix
Analysis
Papilio krishna
Single Nucleotide Polymorphism
Phenotype Determination
EAF2 gene

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