QuickPed

QuickPed generates, visualizes, and analyzes pedigrees to assess familial relatedness, inbreeding, and kinship for genetics, epidemiology, and evolutionary biology.


Key Features:

  • Interactive Pedigree Creation: Constructs and edits detailed multi-generation pedigrees interactively.
  • Support for Complex Inbreeding: Handles consanguineous unions and complex multi-generation inbreeding scenarios.
  • Rich Library of Pedigrees: Provides a comprehensive library of common and illustrative pedigree templates and examples.
  • Advanced Relatedness Analysis: Calculates standard coefficients of relatedness, including inbreeding, kinship, and identity coefficients.
  • Specialized Plots for Visualizing Relatedness: Produces plots that visually represent pairwise and group relatedness within pedigrees.
  • Novel Algorithm for Describing Relationships: Implements an algorithm that generates verbal descriptions of pairwise relationships within pedigrees.

Scientific Applications:

  • Geneticists: Quantify hereditary patterns and compute inbreeding and kinship coefficients in family-based genetic studies.
  • Epidemiologists: Trace familial transmission patterns and assess relatedness in disease investigations involving families.
  • Evolutionary biologists: Analyze kinship dynamics and inbreeding effects in population and pedigree-based evolutionary studies.

Methodology:

Implements a novel algorithmic approach to produce verbal descriptions of pairwise relationships and computational methods to calculate inbreeding, kinship, and identity coefficients and to generate relatedness plots.

Topics

Details

License:
GPL-3.0
Cost:
Free of charge
Tool Type:
web application
Operating Systems:
Mac, Linux, Windows
Programming Languages:
R
Added:
9/4/2022
Last Updated:
11/24/2024

Operations

Publications

Vigeland MD. QuickPed: an online tool for drawing pedigrees and analysing relatedness. BMC Bioinformatics. 2022;23(1). doi:10.1186/s12859-022-04759-y. PMID:35672681. PMCID:PMC9175388.

PMID: 35672681
PMCID: PMC9175388
Funding: - Norges Forskningsråd: 321043

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