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Following the Dynamics of Structural Variants in Experimentally Evolved Populations

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ScanITD: Detecting internal tandem duplication with robust variant allele frequency estimation.

Ting-You Wang¹, Rendong Yang^1,2

¹The Hormel Institute, University of Minnesota, 801 16th Ave NE, Austin, MN 55912, USA.

|August 28, 2020

Summary

ScanITD accurately detects internal tandem duplications (ITDs) in acute myeloid leukemia (AML) and precisely predicts their variant allele frequency (VAF). This advancement improves ITD detection and VAF estimation for AML patient risk stratification.

Keywords:

FLT3 TCGA acute myeloid leukemia chimeric alignment internal tandem duplications variant allele frequency

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Published on: August 3, 2018

Area of Science:

Genomics
Bioinformatics
Cancer Research

Background:

Internal tandem duplications (ITDs) are key prognostic markers and drug targets in acute myeloid leukemia (AML).
Accurate ITD detection and variant allele frequency (VAF) estimation are crucial for AML patient risk stratification.
Short-read sequencing presents challenges for precise VAF estimation of ITDs.

Purpose of the Study:

To develop a novel computational approach for accurate ITD detection and VAF prediction.
To improve the reliability of ITD analysis in acute myeloid leukemia.

Main Methods:

A stepwise seed-and-realignment procedure was developed for ITD detection.
The ScanITD approach was evaluated using simulated and real sequencing data.
Performance was compared against existing state-of-the-art ITD detectors and structural variation callers.

Main Results:

ScanITD demonstrates superior performance in ITD detection compared to existing methods.
ScanITD achieves more accurate VAF prediction for ITDs.
The approach shows enhanced accuracy in predicting ITD size range duplications.

Conclusions:

ScanITD provides accurate identification of ITDs with robust VAF estimation.
The software is open-source, written in Python, and freely accessible.
This tool facilitates improved clinical decision-making for AML patients.