NAToRA

NAToRA performs network-based relatedness pruning to remove related individuals from genetic and omics datasets while minimizing sample loss and preserving genetic diversity.


Key Features:

  • Network-based relatedness-pruning: Constructs a relatedness network and prunes relationships to eliminate unwanted related individuals while minimizing dataset reduction.
  • Node degree centrality metrics: Uses node degree centrality to identify highly connected nodes representing individuals in the relatedness network.
  • Heuristic minimal-reduction algorithm: Employs heuristics that approximate minimal dataset reduction to retain the largest possible number of observations.
  • Accepts multiple relationship metrics: Supports various relationship metrics as input for constructing the relatedness network.
  • Comparative performance with PLINK and KING: Demonstrated superior relatedness-pruning versus PLINK and KING by removing all relatives while preserving a larger portion of the dataset and maintaining or enhancing genetic diversity.
  • Genealogies simulator for testing: Includes a genealogies simulator used in testing and validation of the method.
  • Scalability: Approach is suitable for large datasets where retaining maximal independent observations is critical.

Scientific Applications:

  • Preparation of datasets for analyses requiring independence: Produces pruned datasets suitable for genetic and omics analyses that require independent observations.
  • Preservation of genetic diversity: Enables downstream analyses to retain greater genetic diversity while removing related individuals.
  • Method benchmarking and validation: Supports validation and benchmarking of relatedness-pruning approaches using the included genealogies simulator.

Methodology:

Constructs a relatedness network from pairwise relationship metrics, computes node degree centrality to identify highly connected individuals, and applies heuristics that approximate minimal dataset reduction to prune nodes and remove related individuals; a genealogies simulator was used for testing.

Topics

Details

License:
Not licensed
Cost:
Free of charge
Tool Type:
command-line tool
Operating Systems:
Mac, Linux, Windows
Programming Languages:
Python, Perl
Added:
4/11/2022
Last Updated:
4/11/2022

Operations

Publications

Leal TP, Furlan VC, Gouveia MH, Saraiva Duarte JM, Fonseca PA, Tou R, de Oliveira Scliar M, de Araujo GS, Zolini C, Diniz Peixoto MGC, Santos Carvalho MR, Lima-Costa MF, Gilman RH, Tarazona-Santos E, Rodrigues MR. NAToRA, a relatedness-pruning method to minimize the loss of dataset size in genetic and omics analyses. Unknown Journal. 2021. doi:10.1101/2021.10.21.465343.