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.