Evidence map›Paper›PMID 36517892›Full record

ArticleGenome biology2022

STRling: a k-mer counting approach that detects short tandem repeat expansions at known and novel loci.

Harriet Dashnow, Brent S Pedersen, Laurel Hiatt, Joe Brown, Sarah J Beecroft, Gianina Ravenscroft, Amy J LaCroix, Phillipa Lamont, Richard H Roxburgh, Miriam J Rodrigues and 4 more

Open access · goldAbstract read
In one paragraph

Article in Genome biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
4.7field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

44 citing papers in PubMed, 57 citations in OpenAlex.

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  13. A genome-wide approach for the discovery of novel repeat expansion disorders in the Undiagnosed Diseases Network cohort.Genetics in medicine : official journal of the American College of Medical Genetics · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 9 institutions in 4 countries.

Harriet DashnowDepartment of Human Genetics, University of Utah, Salt Lake City, UT, USA.
Brent S PedersenDepartment of Human Genetics, University of Utah, Salt Lake City, UT, USA.
Laurel HiattDepartment of Human Genetics, University of Utah, Salt Lake City, UT, USA.
Joe BrownDepartment of Human Genetics, University of Utah, Salt Lake City, UT, USA.
Sarah J BeecroftPawsey Supercomputing Research Centre, Kensington, WA, Australia.
Gianina RavenscroftHarry Perkins Institute of Medical Research and Centre for Medical Research, University of Western Australia, Perth, WA, Australia.
Amy J LaCroixDepartment of Pediatrics, Division of Genetic Medicine, University of Washington, Seattle, WA, 98195, USA.
Phillipa LamontNeurogenetic Unit, Royal Perth Hospital, Perth, WA, Australia.
Richard H RoxburghNeurology, Auckland City Hospital, Auckland, New Zealand.
Miriam J RodriguesNeurology, Auckland City Hospital, Auckland, New Zealand.
Mark DavisNeurogenetics Unit, Department of Diagnostic Genomics, PathWest Laboratory Medicine, Western Australian Department of Health, Nedlands, Australia.
Heather C MeffordDepartment of Pediatrics, Division of Genetic Medicine, University of Washington, Seattle, WA, 98195, USA.
Nigel G LaingHarry Perkins Institute of Medical Research and Centre for Medical Research, University of Western Australia, Perth, WA, Australia.
Aaron R QuinlanDepartment of Human Genetics, University of Utah, Salt Lake City, UT, USA. aquinlan@genetics.utah.edu.
University of Utah · USHarry Perkins Institute of Medical Research · AUUniversity of Washington · USAuckland City Hospital · NZGovernment of Western Australia Department of Health · AUPathwest Laboratory Medicine · AURoyal Perth Hospital · AUUniversity Medical Center Utrecht · NLUniversity of Auckland · NZ

Funding

NHLBI Data Stage Coordinating CenterOT3HL147154 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Ashok Kumar Krishnamurthy · 2018 to 2026
$98.9M
The Integration of Trans-omics for Precision Medicine (TOPMED) and Other Heart, Lung, Blood and Sleep (HLBS) Data Sets with the Data CommonsOT3HL142481 · NHLBI · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI GROSSMAN, ROBERT L., PATEN, BENEDICT · 2017 to 2020
$24.9M
The Integration of Trans-omics for Precision Medicine (TOPMED) and Other Heart, Lung, Blood and Sleep (HLBS) Data Sets with the Data CommonsOT3HL142478 · NHLBI · SEVEN BRIDGES GENOMICS, INC. · PI DAVIS-DUSENBERY, BRANDI NICOLE · 2017 to 2022
$12.6M
The Integration of Trans-omics for Precision Medicine (TOPMED) and Other Heart, Lung, Blood and Sleep (HLBS) Data Sets with the Data CommonsOT3HL142480 · NHLBI · HARVARD MEDICAL SCHOOL · PI AVILLACH, PAUL · 2017 to 2022
$8.8M
The Integration of Trans-omics for Precision Medicine (TOPMED) and Other Heart, Lung, Blood and Sleep (HLBS) Data Sets with the Data CommonsOT3HL142479 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KRISHNAMURTHY, ASHOK KUMAR · 2017 to 2020
$6.1M
New algorithms and tools for large-scale genomic analysesR01HG006693 · NHGRI · UNIVERSITY OF VIRGINIA · PI QUINLAN, AARON R · 2012 to 2018
$3.1M
Training Program in Genomic MedicineT32HG008962 · NHGRI · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Lynn Jorde, Aaron R Quinlan · 2016 to 2026
$3.0M
Scalable detection and interpretation of structural variation in human genomesR01HG010757 · NHGRI · UNIVERSITY OF UTAH · PI QUINLAN, AARON R · 2020 to 2023
$2.8M
Software for exploring all forms of genetic variation in any speciesR01GM124355 · NIGMS · UNIVERSITY OF UTAH · PI QUINLAN, AARON R · 2017 to 2020
$1.8M
From genomics to natural language processing: A protected environment for research computing in the health scienceS10OD021644 · OD · UNIVERSITY OF UTAH · PI CHEATHAM, THOMAS E. · 2017 to 2017
$494k
NHGRI NIH HHS R01 HG006693NHGRI NIH HHS R01 HG010757NHGRI NIH HHS T32 HG008962NHLBI NIH HHS OT3 HL142478NHLBI NIH HHS OT3 HL142479NHLBI NIH HHS OT3 HL142480NHLBI NIH HHS OT3 HL142481NHLBI NIH HHS OT3 HL147154NIGMS NIH HHS R01 GM124355NIH HHS S10 OD021644
6 · The paper itself

Abstract

Expansions of short tandem repeats (STRs) cause many rare diseases. Expansion detection is challenging with short-read DNA sequencing data since supporting reads are often mapped incorrectly. Detection is particularly difficult for "novel" STRs, which include new motifs at known loci or STRs absent from the reference genome. We developed STRling to efficiently count k-mers to recover informative reads and call expansions at known and novel STR loci. STRling is sensitive to known STR disease loci, has a low false discovery rate, and resolves novel STR expansions to base-pair position accuracy. It is fast, scalable, open-source, and available at: github.com/quinlan-lab/STRling .

Indexed as

High-Throughput Nucleotide SequencingMicrosatellite RepeatsSequence Analysis, DNA

Identifiers

PMID36517892
PMCPMC9753380
OpenAlexW4311473687

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.