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

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.

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Publication Details

Journal
Journal of Huntington s Disease
Published
2026-05-08
DOI
https://doi.org/10.1177/18796397261448958
Primary Topic
Genetic Neurodegenerative Diseases
Type
article
Field-Weighted Citation Impact
0.00

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article

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

Branduff McAllister, Ricardo Mouro Pinto, Kevin Correia, Tammy Gillis et al.
Journal of Huntington s Disease
Genetic Neurodegenerative Diseases
article

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

Branduff McAllister, Ricardo Mouro Pinto, Kevin Correia, Tammy Gillis, Alan Mejia Maza, Harold, Esaria Oliver, Zachariah Louis McLean, Ben P Jones, Marcy E MacDonald, Vanessa C Wheeler, Andrew Jiang
article en

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.

Journal of Huntington s Disease
Broad Institute (US), Harvard University (US), Massachusetts General Hospital (US), Boston VA Research Institute (US)
CHDI Foundation, National Institute of Neurological Disorders and Stroke
Openalex Percentile: Top 9%
Genetic Neurodegenerative Diseases
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