Detection of long repeat expansions from PCR-free whole-genome sequence data
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Abstract
Identifying large expansions of short tandem repeats (STRs), such as those that cause amyotrophic lateral sclerosis (ALS) and fragile X syndrome, is challenging for short-read whole-genome sequencing (WGS) data. A solution to this problem is an important step toward integrating WGS into precision medicine. We developed a software tool called ExpansionHunter that, using PCR-free WGS short-read data, can genotype repeats at the locus of interest, even if the expanded repeat is larger than the read length. We applied our algorithm to WGS data from 3001 ALS patients who have been tested for the presence of the C9orf72 repeat expansion with repeat-primed PCR (RP-PCR). Compared against this truth data, ExpansionHunter correctly classified all (212/212, 95% CI [0.98, 1.00]) of the expanded samples as either expansions (208) or potential expansions (4). Additionally, 99.9% (2786/2789, 95% CI [0.997, 1.00]) of the wild-type samples were correctly classified as wild type by this method with the remaining three samples identified as possible expansions. We further applied our algorithm to a set of 152 samples in which every sample had one of eight different pathogenic repeat expansions, including those associated with fragile X syndrome, Friedreich's ataxia, and Huntington's disease, and correctly flagged all but one of the known repeat expansions. Thus, ExpansionHunter can be used to accurately detect known pathogenic repeat expansions and provides researchers with a tool that can be used to identify new pathogenic repeat expansions.
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Genome sequencing has the potential to detect a wide variety of variant types, including single-nucleotide variants and indels, copy number variants, repeat expansions, and pathogenic nonprotein-coding variation that is missed by other NGS approaches.
“Genome sequencing has the potential to detect a wide variety of variant types, including single‐nucleotide variants and indels (out‐performing exome sequencing in protein‐coding regions), copy number variants (CNV),4 repeat expansions,5 and detection of pathogenic nonprotein‐coding variation that is missed by other NGS approaches.”
From Genome sequencing in persistently unsolved white matter disorders (2020) · cites this paper as [5]
Expansions in 10 genes were confirmed with ExpansionHunter, read pile-ups, gel electrophoresis, and Sanger sequencing.
“We confirmed the tandem repeat expansions in these 10 genes using another tandem repeat detection algorithm, ExpansionHunter47,48, as well as by visualizing read pile-ups and by gel electrophoresis and Sanger sequencing”
From Genome-wide detection of tandem DNA repeats that are expanded in autism (2020) · cites this paper as [48]
ExpansionHunter estimates allele-specific tandem repeat sizes with high accuracy (precision=0.91, recall=0.99).
“which estimates allele-specific tandem repeat sizes for each genomic coordinate and motif supplied by the user with high accuracy (precision=0.91, recall=0.99)48.”
From Genome-wide detection of tandem DNA repeats that are expanded in autism (2020) · cites this paper as [48]
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Cites
Fast and accurate short read alignment with Burrows-Wheeler transform
Li, H., & Durbin, R. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp324 · Cited by 58,607 · see citing works
A framework for variation discovery and genotyping using next-generation DNA sequencing data
DePristo, M. A., Banks, E., Poplin, R. E., Garimella, K. V., Maguire, J., Hartl, C., Philippakis, A., del Angel, G., Rivas, M. A., Hanna, M., et al. (2011) · Nature Genetics · doi:10.1038/ng.806 · Cited by 11,216 · see citing works
DeJesus-Hernandez, M., Mackenzie, I. R., Boeve, B. F., Boxer, A. L., Baker, M., Rutherford, N. J., Nicholson, A. M., Finch, N. A., Flynn, H., Adamson, J., et al. (2011) · Neuron · doi:10.1016/j.neuron.2011.09.011 · Cited by 4,936 · see citing works
Self-citationA Hexanucleotide Repeat Expansion in C9ORF72 Is the Cause of Chromosome 9p21-Linked ALS-FTD
Renton, A. E., Majounie, E., Waite, A., Simón-Sánchez, J., Rollinson, S., Gibbs, J. R., Schymick, J. C., Laaksovirta, H., van Swieten, J. C., Myllykangas, L., et al. (2011) · Neuron · doi:10.1016/j.neuron.2011.09.010 · Cited by 4,409 · see citing works
Mathematical Statistics and Data Analysis
Rabinowitz, L., & Rice, J. A. (1989) · Technometrics · doi:10.2307/3556160 · Cited by 3,142 · see citing works
Ashley, E. A. (2016) · Nature Reviews Genetics · doi:10.1038/nrg.2016.86 · Cited by 1,116 · see citing works
Clinical and Genetic Abnormalities in Patients with Friedreich's Ataxia
Dürr, A., Cossee, M., Agid, Y., Campuzano, V., Mignard, C., Penet, C., Mandel, J.-L., Brice, A., & Koenig, M. (1996) · New England Journal of Medicine · doi:10.1056/nejm199610173351601 · Cited by 1,071 · see citing works
SNP detection for massively parallel whole-genome resequencing
Li, R., Li, Y., Fang, X., Yang, H., Wang, J., Kristiansen, K., & Wang, J. (2009) · Genome Research · doi:10.1101/gr.088013.108 · Cited by 944 · see citing works
Summarizing and correcting the GC content bias in high-throughput sequencing
Benjamini, Y., & Speed, T. P. (2012) · Nucleic Acids Research · doi:10.1093/nar/gks001 · Cited by 913 · see citing works
Diseases of Unstable Repeat Expansion: Mechanisms and Common Principles
Gatchel, J. R., & Zoghbi, H. Y. (2005) · Nature Reviews Genetics · doi:10.1038/nrg1691 · Cited by 784 · see citing works
The U.S.–Venezuela Collaborative Research Project*, & Wexler, N. S. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0308679101 · Cited by 761 · see citing works
Self-citationDe novo assembly and genotyping of variants using colored de Bruijn graphs
Iqbal, Z., Cáccamo, M., Turner, I., Flicek, P., & McVean, G. (2012) · Nature Genetics · doi:10.1038/ng.1028 · Cited by 695 · see citing works
Gijselinck, I., Langenhove, T. V., van der Zee, J., Sleegers, K., Philtjens, S., Kleinberger, G., Janssens, J., Bettens, K., Cauwenberghe, C. V., Pereson, S., et al. (2011) · The Lancet Neurology · doi:10.1016/s1474-4422(11)70261-7 · Cited by 635 · see citing works
The Precision Medicine Initiative
Ashley, E. A. (2015) · JAMA · doi:10.1001/jama.2015.3595 · Cited by 562 · see citing works
Mechanisms of trinucleotide repeat instability during human development
McMurray, C. T. (2010) · Nature Reviews Genetics · doi:10.1038/nrg2828 · Cited by 496 · see citing works
Fast and sensitive mapping of nanopore sequencing reads with GraphMap
Sović, I., Šikić, M., Wilm, A., Fenlon, S. N., Chen, S. L., & Nagarajan, N. (2016) · Nature Communications · doi:10.1038/ncomms11307 · Cited by 393 · see citing works
Clinical sequencing: is WGS the better WES?
Meienberg, J., Bruggmann, R., Oexle, K., & Mátyás, G. (2016) · Human Genetics · doi:10.1007/s00439-015-1631-9 · Cited by 363 · see citing works
Eberle, M. A., Fritzilas, E., Krusche, P., Källberg, M., Moore, B. L., Bekritsky, M. A., Iqbal, Z., Chuang, H., Humphray, S., Halpern, A. L., et al. (2016) · Genome Research · doi:10.1101/gr.210500.116 · Cited by 356 · see citing works
Self-citationIsaac: ultra-fast whole-genome secondary analysis on Illumina sequencing platforms
Raczy, C., Petrovski, R., Saunders, C. T., Chorny, I., Kruglyak, S., Margulies, E. H., Chuang, H., Källberg, M., Kumar, S. A., Liao, A. K., et al. (2013) · Bioinformatics · doi:10.1093/bioinformatics/btt314 · Cited by 333 · see citing works
lobSTR: A short tandem repeat profiler for personal genomesPreprint
Gymrek, M., Golan, D., Rosset, S., & Erlich, Y. (2012) · Genome Research · doi:10.1101/gr.135780.111 · Cited by 327 · see citing works
van der Zee, J., Gijselinck, I., Dillen, L., Langenhove, T. V., Theuns, J., Engelborghs, S., Philtjens, S., Vandenbulcke, M., Sleegers, K., Sieben, A., et al. (2012) · Human Mutation · doi:10.1002/humu.22244 · Cited by 266 · see citing works
on behalf of the BELNEU CONSORTIUM, Gijselinck, I., Van Mossevelde, S., van der Zee, J., Sieben, A., Engelborghs, S., De Bleecker, J., Ivanoiu, A., Deryck, O., Edbauer, D., et al. (2016) · Molecular Psychiatry · doi:10.1038/mp.2015.159 · Cited by 242 · see citing works
Sequencing the unsequenceable: Expanded CGG-repeat alleles of the fragile X genePreprint
Loomis, E. W., Eid, J. S., Peluso, P. S., Yin, J., Hickey, L., Rank, D. R., McCalmon, S. A., Hagerman, R. J., Tassone, F., & Hagerman, P. J. (2012) · Genome Research · doi:10.1101/gr.141705.112 · Cited by 203 · see citing works
Comprehensive variation discovery in single human genomes
Weisenfeld, N., Yin, S., Sharpe, T., Lau, B., Hegarty, R., Holmes, L., Sogoloff, B., Tabbaa, D., Williams, L., Russ, C., et al. (2014) · Nature Genetics · doi:10.1038/ng.3121 · Cited by 196 · see citing works
Extending reference assembly models
Church, D. M., Schneider, V., Steinberg, K. M., Schatz, M. C., Quinlan, A. R., Chin, C.-S., Kitts, P., Aken, B. L., Marth, G., Hoffman, M. M., et al. (2015) · Genome biology · doi:10.1186/s13059-015-0587-3 · Cited by 164 · see citing works
Akimoto, C., Volk, A. E., van Blitterswijk, M., den Broeck, M. V., Leblond, C. S., Lumbroso, S., Camu, W., Neitzel, B., Onodera, O., van Rheenen, W., et al. (2014) · Journal of Medical Genetics · doi:10.1136/jmedgenet-2014-102360 · Cited by 131 · see citing works
Self-citationHantash, F. M., Goos, D. M., Crossley, B., Anderson, B., Zhang, K., Sun, W., & Strom, C. M. (2010) · Genetics in Medicine · doi:10.1097/gim.0b013e3181fa9fad · Cited by 105 · see citing works
FermiKit: assembly-based variant calling for Illumina resequencing data
Li, H. (2015) · Bioinformatics · doi:10.1093/bioinformatics/btv440 · Cited by 94 · see citing works
Buchman, V. L., Cooper‐Knock, J., Connor‐Robson, N., Higginbottom, A., Kirby, J., Дмитриевна, Р. О., Ninkina, N. N., & Shaw, P. J. (2013) · Molecular Neurodegeneration · doi:10.1186/1750-1326-8-12 · Cited by 70 · see citing works
Self-citationMarx, V. (2015) · Nature · doi:10.1038/524503a · Cited by 65 · see citing works
HALC: High throughput algorithm for long read error correction
Bao, E., & Lan, L. (2017) · BMC Bioinformatics · doi:10.1186/s12859-017-1610-3 · Cited by 62 · see citing works
Kronquist, K. E., Sherman, S. L., & Spector, E. (2008) · Genetics in Medicine · doi:10.1097/gim.0b013e31818c2606 · Cited by 59 · see citing works
The Challenge of Small-Scale Repeats for Indel Discovery
Narzisi, G., & Schatz, M. C. (2015) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2015.00008 · Cited by 49 · see citing works
Self-citationHigh frequency of Friedreich's ataxia carriers in the Paphos district of Cyprus.
Zamba‐Papanicolaou, E., Koutsou, P., Daiou, C., et al. (2009) · PubMed · Cited by 17 · see citing works
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Self-citation
- Authors
- Dolzhenko, E., van Vugt, J. J. F. A., Shaw, R. J., Bekritsky, M. A., van Blitterswijk, M., Narzisi, G., Ajay, S. S., Rajan, V., Lajoie, B. R., Johnson, N. H., Kingsbury, Z., Humphray, S. J., Schellevis, R. D., Brands, W. J., Baker, M., Rademakers, R., Kooyman, M., Tazelaar, G. H. P., van Es, M. A., McLaughlin, R., Sproviero, W., Shatunov, A., Jones, A., Al Khleifat, A., Pittman, A., Morgan, S., Hardiman, O., Al-Chalabi, A., Shaw, C., Smith, B., Neo, E. J., Morrison, K., Shaw, P. J., Reeves, C., Winterkorn, L., Wexler, N. S., The US–Venezuela Collaborative Research Group, Housman, D. E., Ng, C. W., Li, A. L., Taft, R. J., van den Berg, L. H., Bentley, D. R., Veldink, J. H., & Eberle, M. A.
- Affiliations
- Illumina (United States) (US)
- Illumina (United Kingdom) (GB)
- New York Genome Center (US)
- Utrecht University (NL)
- Mayo Clinic (US)
- SURFsara (Netherlands) (NL)
- Trinity College Dublin (IE)
- King's College London (GB)
- UCL Queen Square Institute of Neurology (GB)
- University of Southampton (GB)
- University of Sheffield (GB)
- Hereditary Disease Foundation (US)
- Massachusetts Institute of Technology (US)
- ORCID
- Dolzhenko, Egor
- Shaw, Richard J.
- Bekritsky, Mitchell A.
- Narzisi, Giuseppe
- Lajoie, Bryan R.
- Johnson, Nathan H.
- Humphray, Sean J.
- Brands, William J.
- Baker, Matt
- Rademakers, Rosa
- Kooyman, Maarten
- McLaughlin, Russell
- Sproviero, William
- Shatunov, Aleksey
- Jones, Ashley
- Pittman, Alan
- Morgan, Sarah
- Hardiman, Orla
- Smith, Bradley
- Neo, Edmund J.
- Morrison, Karen
- Shaw, Pamela J.
- Reeves, Catherine
- Winterkorn, Lara
- Wexler, Nancy S.
- Housman, David E.
- Ng, Christopher W.
- Taft, Ryan J.
- Veldink, Jan H.
- Eberle, Michael A.
- Venue
- Genome Research
- Publisher
- Cold Spring Harbor Laboratory
- Published
- 2017-09-08
- Volume
- 27
- Issue
- 11
- Pages
- 1895-1903
- ISSN
- 1088-9051 (ISSN-L)
- 1549-5469
- PMC
- PMC5668946
- OpenAlex
- W2949838248
- Cited by
- 388
- References
- 35
- Citations by year
- 2026: 33 · 2025: 40 · 2024: 62 · 2023: 45 · 2022: 55 · 2021: 45 · 2020: 42 · 2019: 34 · 2018: 26 · 2017: 5 · 2012: 1
- Type
- posted content
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Genome Research (publishedVersion)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Research Portal (Queen's University Belfast) (publishedVersion, cc-by)
- White Rose Research Online (University of Leeds, The University of Sheffield, University of York) (acceptedVersion)
- ePrints Soton (University of Southampton) (acceptedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Arrow@dit (Dublin Institute of Technology) (submittedVersion, cc-by-nc-sa)
- Utrecht University Repository (Utrecht University) (submittedVersion, other-oa)
- DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc)
- Research Portal (King's College London) (submittedVersion, cc-by)
- HighWire Press Open Archive (submittedVersion)
- Trinity's Access to Research Output (TARA) (Trinity College Dublin) (submittedVersion)
- Funders
- SURF Cooperative
- NIH/NINDS (P01 NS084974, R01 NS080882)
- Thierry Latran Foundation
- Netherlands Organization for Health Research and Development
- ALS Foundation Netherlands
- MND Association (UK)
- W.M. Keck Foundation
- “Finding Genetic Modifiers As Avenues to Developing New Therapeutics”
- European Community's Health Seventh Framework Programme (FP7/2007-2013)
- Horizon 2020 Programme (633413)
- ZonMW
- ERA Net for Research on Rare Diseases
- UK, Medical Research Council (MR/L501529/1, ES/L008238/1)
- Ireland, Health Research Board
- Netherlands, ZonMw
- National Institute for Health Research (NIHR) Dementia Biomedical Research Unit at South London and Maudsley NHS Foundation Trust and King's College London
- UK National DNA Bank for MND Research
- MND Association and the Wellcome Trust
- Medical Research Council at the Centre for Integrated Genomic Medical Research, University of Manchester
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomics and Rare Diseases
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Genetic Neurodegenerative Diseases
- Keywords
- repeat expansion detection, microsatellite markers, C9orf72 repeat expansion, amyotrophic lateral sclerosis, fragile X syndrome, Friedreich's ataxia, Huntington's disease, repeat-primed PCR, precision medicine
- MeSH terms
- Whole Genome Sequencing, C9orf72 Protein, Algorithms, Amyotrophic Lateral Sclerosis, Humans, Sensitivity and Specificity, Software, Databases, Genetic, DNA Repeat Expansion, Precision Medicine
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