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September 5, 2025Genetics Selection EvolutionOpen Access

randPedPCA: rapid approximation of principal components from large pedigrees

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Authors

HLHanbin LeeRCR. CraddockGGGregor Gorjanc

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Overview

R package enables efficient PCA analysis in large pedigrees, suggesting substantial speed advantages.

Key Points

  • Pedigrees can be efficiently analyzed to obtain principal components, improving visualization of genetic data.
  • The R package offers a speed-up greater than 10,000 times over naive PCA for large datasets.
  • Methods used include randomised singular value decomposition and Eigen decomposition for effective analysis.
  • The approach allows for intuitive scatter plots, significantly speeding up analyses involving extensive pedigree graphs.

Cite This Study

Lee et al. (2025) studied this question.

synapsesocial.com/papers/68bb42272b87ece8dc958da1https://doi.org/10.1186/s12711-025-00994-y
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