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Accuracy of genomic BLUP when considering a genomic relationship matrix based on the number of the largest eigenvalues: a simulation study.

Ivan PocrnićDaniela A L LourencoYutaka MasudaIgnacy Misztal
Published in: Genetics, selection, evolution : GSE (2019)
A small amount of phenotypic data is sufficient to estimate only the effects of the largest eigenvalues and the associated eigenvectors that contain a large fraction of the genomic information, and a very large amount of data is required to estimate the remaining eigenvalues that account for a limited amount of genomic information. Core animals in the APY algorithm act as proxies of almost the same number of eigenvalues. By using an eigenvalues-based approach, it was possible to explain why the moderate accuracy of genomic selection based on small datasets only increases slowly as more data are added.
Keyphrases
  • copy number
  • electronic health record
  • big data
  • machine learning
  • healthcare
  • health information
  • data analysis
  • single cell
  • rna seq