Evidence map›Paper›PMID 40841169›Full record

ArticleGenome research2025

Estimating the size of long tandem repeat expansions from short reads with ScatTR.

Rashid Al-Abri, Gamze Gürsoy

Abstract read
In one paragraph

Article in Genome research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Rashid Al-AbriDepartment of Biomedical Informatics, Columbia University, New York, New York 10032, USA.
Gamze GürsoyDepartment of Biomedical Informatics, Columbia University, New York, New York 10032, USA; gamze.gursoy@columbia.edu.

Funding

Tools to Address the Challenges of Preserving Privacy in Sharing and Analysis of Biomedical DataR35GM147004 · NIGMS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GURSOY, GAMZE · 2022 to 2025
$1.8M
Delineating the functional impact of recurrent repeat expansions in ALS using integrative multiomic analysisR03OD036491 · OD · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GURSOY, GAMZE · 2023 to 2023
$324k
NIGMS NIH HHS R35 GM147004NIH HHS R03 OD036491
6 · The paper itself

Abstract

Tandem repeats (TRs) are sequences of DNA in which ≥2 bp are repeated back-to-back at specific locations in the genome. TR expansions, in which the number of repeat units exceeds the normal range, have been implicated in more than 50 conditions. However, accurately measuring the copy number of TRs is challenging, especially when their expansions are larger than the fragment sizes used in standard short-read genome sequencing. Here, we introduce ScatTR, a novel computational method that leverages a maximum likelihood framework to estimate the copy number of large TR expansions from short-read sequencing data. ScatTR calculates the likelihood of different alignments between sequencing reads and reference sequences that represent various TR lengths and employs a Monte Carlo technique to find the best match. In simulated data, ScatTR outperforms state-of-the-art methods, particularly for TRs with longer motifs and those with lengths that greatly exceed typical sequencing fragment sizes. When applied to data from the 1000 Genomes Project, ScatTR detects potential large TR expansions that other methods missed, highlighting its ability to better characterize genome-wide TR variation.

Indexed as

DNA Repeat ExpansionSequence Analysis, DNATandem Repeat SequencesAlgorithmsGenome, HumanHigh-Throughput Nucleotide SequencingHumansLikelihood FunctionsMonte Carlo Method

Identifiers

PMID40841169
PMCPMC12667716

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.