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Article

Accounting for Sampling Error in Genetic Eigenvalues Using Random Matrix Theory.

Genetics - 1 Jul 2017

Sztepanacz Jacqueline L, Blows Mark W

Abstract excerpt

The distribution of genetic variance in multivariate phenotypes is characterized by the empirical spectral distribution of the eigenvalues of the genetic covariance matrix. Empirical estimates of genetic eigenvalues from random effects linear models are known to be overdispersed by sampling error, where large eigenvalues are biased upward, and small eigenvalues are biased downward. The overdispersion of the...

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Identifiers

PMID: 28476865
DOI: 10.1534/genetics.116.198606
PMCID: PMC5500129

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