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.