Bonsai
Bonsai infers and assembles large pedigrees from genotype data to reconstruct familial relationships, including cases with sparsely sampled individuals and distant relatives.
Key Features:
- Pedigree Inference: Infers small pedigrees composed of close relatives and assembles them into larger, comprehensive family trees.
- Innovative Formulas and Tools: Implements novel formulas, including a likelihood model for determining the degree of separation between small pedigrees.
- Background IBD Detection: Identifies individuals who share background identity-by-descent (IBD) that does not indicate recent common ancestry.
- Ancestral Branch Identification: Detects ancestral branches through which distant relatives are connected.
Scientific Applications:
- Pedigree reconstruction: Reconstructing large and complex familial relationships in genetic research.
- Hereditary pattern analysis: Analyzing patterns of inheritance to study hereditary traits.
- Population genetics: Investigating population-level relatedness and structure.
- Related fields: Applications requiring inference of large pedigrees and distant relationships.
Methodology:
Integrates age information directly into likelihood calculations rather than using it solely for consistency checks, and employs a heuristic branch-and-bound-like approach to explore possible pedigree configurations efficiently.
Topics
Details
- Tool Type:
- library
- Programming Languages:
- Python
- Added:
- 6/14/2021
- Last Updated:
- 8/18/2021
Operations
Publications
Jewett EM, McManus KF, Freyman WA, Auton A. Bonsai: An efficient method for inferring large human pedigrees from genotype data. Unknown Journal. 2021. doi:10.1101/2021.04.06.438656.