TRACE: Open-source software for quantifying somatic variation of tandem repeats by capillary electrophoresis

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Authors: Andrew Jiang, Kevin Correia, Tammy Gillis, Esaria Oliver, Ben P Jones, Branduff McAllister, Alan Mejia Maza, Marcy E MacDonald, Ricardo Mouro Pinto, Vanessa C. Wheeler, James F. Gusella, Zachariah Louis McLean
Cited by: 1
References: 24

Abstract

Expanded short tandem DNA repeats are implicated in over 60 human disorders. In many, somatic instability (SI) of the repeat plays a critical role in disease pathogenesis. For example, SI in vulnerable neurons is a key driver of clinical symptoms in Huntington's disease. Quantifying SI has traditionally relied on PCR followed by capillary electrophoresis, with metrics describing the shape of repeat size distributions, such as the expansion index. However, current tools often require costly proprietary software, are time-consuming, and rely on custom pipelines that vary between labs. To address these challenges, we developed Tandem Repeats Analysis by Capillary Electrophoresis (TRACE), an open-source software that processes fragment analysis data end-to-end, from raw files to SI metrics. Additionally, we created an associated web app TRACE-shiny (https://traceshiny.mgh.harvard.edu), for interactive usage. Instability metrics from TRACE benchmarked against published datasets confirm its utility for studying genetic and pharmacological modifiers of SI. TRACE eliminates the need for proprietary software or custom pipelines, making advanced tools for analysis of somatic repeat expansion widely accessible.

Fields of Study & Subjects

Genetic Neurodegenerative Diseases Microfluidic and Capillary Electrophoresis Applications Fibromyalgia and Chronic Fatigue Syndrome Research

Publication details

Journal / source
Journal of Huntington s Disease
Publisher
SAGE Publications
Volume
15
Issue
3
Pages
506–515
Publication date
8 May 2026
Language
EN