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Understanding the potential bias of variance components estimators when using genomic models.

Beatriz Castro Dias CuyabanoA Christian SørensenPeter Sørensen
Published in: Genetics, selection, evolution : GSE (2018)
The theory presented can be used to provide an explanation for the success of a number of recently reported approaches that are suggested to remove sources of bias of heritability estimates. Furthermore, however complex is the quantification of this bias, we can determine that, in genomic models that consider a single genomic component to estimate heritability (assuming SNP effects are all i.i.d.), the bias of the estimator tends to be downward, when it exists.
Keyphrases
  • copy number
  • genome wide
  • drinking water
  • dna methylation
  • gene expression
  • high density
  • human health