Unfazed

Unfazed determines the parental gamete of origin for de novo mutations by analyzing paired-end Illumina DNA sequencing reads and variant information from sequenced trios (both parents and offspring).


Key Features:

  • Parental-origin inference: Assigns maternal or paternal gamete of origin for de novo mutations in sequenced trios.
  • Input data: Operates on paired-end Illumina DNA sequencing reads combined with variant information from trios.
  • Read-based phasing: Links phase-informative inherited variants with de novo mutations through read-based phasing.
  • Haplotype chaining: Chains sequencing reads into haplotype groups to expand the search space for informative sites.
  • Improved accuracy: Uses expanded haplotype-based search to increase the accuracy and success rate of parental origin detection.
  • Scalability: Demonstrated ability to determine parent-of-origin for nearly 30,000 de novo variants in under 60 hours.

Scientific Applications:

  • Inheritance studies: Determining parental origin of de novo mutations to analyze genetic inheritance patterns in families.
  • Genetic disease research: Elucidating mechanisms underlying genetic disorders by identifying the gamete of origin for pathogenic de novo variants.
  • Evolutionary biology: Investigating sources of genetic variation and mutation dynamics relevant to evolutionary studies.

Methodology:

Links phase-informative inherited variants with de novo mutations via read-based phasing and chains sequencing reads into haplotype groups to expand the search space for informative sites.

Topics

Details

Tool Type:
command-line tool
Programming Languages:
Python
Added:
3/19/2021
Last Updated:
7/7/2021

Operations

Publications

Belyeu JR, Sasani TA, Pedersen BS, Quinlan AR. Unfazed: parent-of-origin detection for large and small<i>de novo</i>variants. Unknown Journal. 2021. doi:10.1101/2021.02.03.429658.