FamAgg

FamAgg analyzes familial aggregation of traits in large pedigrees to quantify trait clustering and support selection of families for genetic follow-up studies.


Key Features:

  • Pedigree analysis and plotting utilities: Provides utilities for pedigree analysis and visualization to manage and interpret complex family structures.
  • Familial aggregation methods: Implements methods to evaluate trait aggregation at both family and individual levels.
  • Established and novel methodologies: Includes both established and novel methods to quantify familial aggregation.
  • Large pedigree handling: Handles very large pedigrees comprising thousands of participants across numerous families.

Scientific Applications:

  • Assessing genetic contribution: Quantifies familial clustering of traits to assess genetic contributions to diseases.
  • Family selection for follow-up: Guides selection of families for detailed genetic follow-up studies.
  • Demonstration on cancer data: Applied to a public cancer dataset comprising over 20,000 participants across approximately 400 families.

Methodology:

Calculates measures that express trait distribution at family and individual levels using both established and novel aggregation methods.

Topics

Collections

Details

License:
MIT
Tool Type:
command-line tool, library
Operating Systems:
Linux, Windows, Mac
Programming Languages:
R
Added:
1/17/2017
Last Updated:
1/13/2019

Operations

Publications

Rainer J, Taliun D, D’Elia Y, Pattaro C, Domingues FS, Weichenberger CX. FamAgg: an R package to evaluate familial aggregation of traits in large pedigrees. Bioinformatics. 2016;32(10):1583-1585. doi:10.1093/bioinformatics/btw019. PMID:26803158. PMCID:PMC4866523.

Documentation

Downloads

Links