lfa

The software tool "lfa" (logistic factor analysis) addresses the challenge of analyzing genome-wide genotype data from individuals of diverse ancestries, focusing on the complex population structure without necessarily interpreting admixture proportions. This Bioconductor R package introduces two probabilistic models alongside computationally efficient algorithms for their estimation. Initially, it leverages principal component analysis to estimate a general model encompassing the Pritchard-Stephens-Donnelly admixture model. Recognizing limitations in this approach, lfa advances a novel framework for logistic factor analysis, directly modeling the logit transformation of genotype probabilities through latent variables that reflect population structure.

Topic

Statistics and probability;DNA polymorphism;Structure analysis

Detail

  • Operation: Principal component plotting

  • Software interface: Command-line user interface,Library

  • Language: R

  • License: The GNU General Public License v3.0

  • Cost: Free

  • Version name: 2.2.0

  • Credit: NIH

  • Input: -

  • Output: -

  • Contact: Alejandro Ochoa alejandro.ochoa@duke.edu

  • Collection: -

  • Maturity: Stable

Publications

  • Probabilistic models of genetic variation in structured populations applied to global human studies.
  • Hao W, et al. Probabilistic models of genetic variation in structured populations applied to global human studies. Probabilistic models of genetic variation in structured populations applied to global human studies. 2016; 32:713-21. doi: 10.1093/bioinformatics/btv641
  • https://doi.org/10.1093/bioinformatics/btv641
  • PMID: 26545820
  • PMC: PMC4795615

Download and documentation


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