The DOI matches its Crossref record; 220 of the 220 references it cites were found in a registry or an index.
Haplotype-resolved diverse human genomes and integrated analysis of structural variation
Open accessPublished version of a preprint
Abstract
Resolving genomic structural variation: Many human genomes have been reported using short-read technology, but it is difficult to resolve structural variants (SVs) using these data. These genomes thus lack comprehensive comparisons among individuals and populations. Ebert et al. used long-read structural variation calling across 64 human genomes representing diverse populations and developed new methods for variant discovery. This approach allowed the authors to increase the number of confirmed SVs and to describe the patterns of variation across populations. From this dataset, they identified quantitative trait loci affected by these SVs and determined how they may affect gene expression and potentially explain genome-wide association study hits. This information provides insights into patterns of normal human genetic variation and generates reference genomes that better represent the diversity of our species. Science , this issue p. eabf7117
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“Either the graphs needed to be constructed from variant calls against a reference 3,6,32 and, therefore, unable to properly represent nested variation while still suffering from some reference bias, or they were limited to only SVs 16 and unable to effectively be used for short-read mapping with current tools 6 .”
From Pangenome graph construction from genome alignments with Minigraph-Cactus (2024) · cites this paper as [32]
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“Previous studies have identified tens of megabases of sequence contained within structural variants (SVs) that are polymorphic within the population5.”
From A draft human pangenome reference. (2023) · cites this paper as [5]
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“This provides a large set of fully phased human genome assemblies and outperforms earlier efforts on many levels of assembly quality5,16,60.”
From A draft human pangenome reference. (2023) · cites this paper as [5]
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“In line with previous results5,54, we obtained high genotype concordance across all variant types and genomic contexts (Extended Data Fig. 9).”
From A draft human pangenome reference. (2023) · cites this paper as [5]
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“Ebert et al.5 showed that using PanGenie, a pangenomic approach, with 32 samples, a subset of these variants could be genotyped in short-read genomes (about 13,000 genotyped on average, ranging from 12,000 to 15,000 per sample).”
From A draft human pangenome reference. (2023) · cites this paper as [5]
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“The HGSVC and HPRC call sets are based on variant calls produced from haplotype-resolved assemblies of 32 and 44 samples, respectively5.”
From A draft human pangenome reference. (2023) · cites this paper as [5]
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“For example, compared with Ebert et al.5, the average median base level accuracy is nearly an order of magnitude higher, the N50 contiguity is nearly double and the structural accuracy is higher33.”
From A draft human pangenome reference. (2023) · cites this paper as [5]
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“This result confirms that short-read-based SV discovery relative to a linear reference genome misses a large proportion of SVs5,6,8.”
From A draft human pangenome reference. (2023) · cites this paper as [5]
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“This result confirms that SV callers based on short reads alone miss a large proportion of SVs located in regions inaccessible by short-read alignments, which has been previously reposed by several studies5,8.”
From A draft human pangenome reference. (2023) · cites this paper as [5]
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Cites
Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482
The Sequence Alignment/Map format and SAMtools
Li, H., Handsaker, B., Wysoker, A., Fennell, T., Ruan, J., Homer, N., Marth, G., Abecasis, G., Durbin, R., & 1000 Genome Project Data Processing Subgroup (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp352 · Cited by 62,041
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
STAR: ultrafast universal RNA-seq aligner
Dobin, A., Davis, C. A., Schlesinger, F., Drenkow, J., Zaleski, C., Jha, S., Batut, P., Chaisson, M., & Gingeras, T. R. (2013) · Bioinformatics · doi:10.1093/bioinformatics/bts635 · Cited by 51,709
Self-citationMAFFT Multiple Sequence Alignment Software Version 7: Improvements in Performance and Usability
Katoh, K., & Standley, D. M. (2013) · Molecular Biology and Evolution · doi:10.1093/molbev/mst010 · Cited by 46,209
MUSCLE: multiple sequence alignment with high accuracy and high throughput
Edgar, R. C. (2004) · Nucleic Acids Research · doi:10.1093/nar/gkh340 · Cited by 44,662
Robinson, M. D., McCarthy, D. J., & Smyth, G. K. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btp616 · Cited by 41,364
PLINK: a tool set for whole-genome association and population-based linkage analyses.
Purcell, S., Neale, B., Todd-Brown, K., Thomas, L., Ferreira, M. A. R., Bender, D., Maller, J., Sklar, P., de Bakker, P. I. W., Daly, M. J., et al. (2007) · The American Journal of Human Genetics · doi:10.1086/519795 · Cited by 34,089
Cutadapt removes adapter sequences from high-throughput sequencing reads
Martin, M. (2011) · EMBnet.journal · doi:10.14806/ej.17.1.200 · Cited by 33,889
The Genome Analysis Toolkit: A MapReduce framework for analyzing next-generation DNA sequencing data
McKenna, A., Hanna, M., Banks, E., Sivachenko, A., Cibulskis, K., Kernytsky, A., Garimella, K., Altshuler, D., Gabriel, S., Daly, M., et al. (2010) · Genome Research · doi:10.1101/gr.107524.110 · Cited by 27,895
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- 10.1038/s41587-020-0719-5 · DOI · Paper page
- G. Ke et al . in Advances in Neural Information Processing Systems 30 I. Guyon U. V. Luxburg S. Bengio H. Wallach R. Fergus S. Vishwanathan R. Garnett Eds. (Curran Associates Inc. 2017) pp. 3146–3154.
- 10.1038/s41586-020-2287-8 · DOI · Paper page
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Maden, G., Baysan, M., & Aydın, N. (2026) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1014824
Geysens, M., Souche, E., Baroni, M. C., Benoit, V., Beyltjens, T., Bossuyt, W., Bours, V., Crabbé, M., Croes, D., De Smet, M., et al. (2026) · Genome Medicine · doi:10.1186/s13073-026-01771-2
Branco, L., Yentür, Z., Yang, M. J., Balachandran, P., Sedov, K., Kumar, G., Zafar, F., Kagermeier, T., Sarieva, K., Becker, K., et al. (2026) · Stem Cell Reports · doi:10.1016/j.stemcr.2026.103112
Zhou, Q., Wang, K., Chen, J., Wang, H., Tan, X., Huang, X., Lin, Z., Xu, X., Jin, X., Zhang, S., et al. (2026) · Advanced Science · doi:10.1002/advs.78201
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A pangenomic method for establishing a synthetic somatic variant resource in HapMap mixtures
Kong, N., Tang, Z., Ruttenberg, A., Macias-Velasco, J. F., Li, Z., Zhang, W., Miao, B., Xin, Z., Fu, Q., Park, H., et al. (2026) · Cell Genomics · doi:10.1016/j.xgen.2026.101358 · Cited by 5
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FAIRsharing Team, Yue, J., & Yue, J. (2025) · FAIRsharing.org · doi:10.25504/fairsharing.ad40a6
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Bubb, K. L., Perchlik, M., Cuperus, J. T., & Queitsch, C. (2026) · Frontiers in Epigenetics and Epigenomics · doi:10.64898/2026.08.14.744917
Size dependent loss of structural variant allele counts in pangenome derived VCFsPreprint
Manjunath, M., S, R. V., & Shakunthala, V. (2026) · Research Square · doi:10.21203/rs.3.rs-11373989/v1
Metadata
- Authors
- Ebert, P., Audano, P. A., Zhu, Q., Rodriguez-Martin, B., Porubsky, D., Bonder, M. J., Sulovari, A., Ebler, J., Zhou, W., Serra Mari, R., Yilmaz, F., Zhao, X., Hsieh, P., Lee, J., Kumar, S., Lin, J., Rausch, T., Chen, Y., Ren, J., Santamarina, M., Höps, W., Ashraf, H., Chuang, N. T., Yang, X., Munson, K. M., Lewis, A. P., Fairley, S., Tallon, L. J., Clarke, W. E., Basile, A. O., Byrska-Bishop, M., Corvelo, A., Evani, U. S., Lu, T.-Y., Chaisson, M. J. P., Chen, J., Li, C., Brand, H., Wenger, A. M., Ghareghani, M., Harvey, W. T., Raeder, B., Hasenfeld, P., Regier, A. A., Abel, H. J., Hall, I. M., Flicek, P., Stegle, O., Gerstein, M. B., Tubio, J. M. C., Mu, Z., Li, Y. I., Shi, X., Hastie, A. R., Ye, K., Chong, Z., Sanders, A. D., Zody, M. C., Talkowski, M. E., Mills, R. E., Devine, S. E., Lee, C., Korbel, J. O., Marschall, T., & Eichler, E. E.
- Affiliations
- Heinrich Heine University Düsseldorf (DE)
- University of Washington (US)
- The Jackson Laboratory for Genomic Medicine (US)
- European Molecular Biology Laboratory (EMBL), Genome Biology Unit, Meyerhofstraße 1, 69117 Heidelberg, Germany.
- Department of Genome Sciences, University of Washington School of Medicine, 3720 15th Avenue NE, Seattle, WA 98195-5065, USA.
- German Cancer Research Center (DE)
- University of Michigan (US)
- Heinrich Heine University, Medical Faculty, Institute for Medical Biometry and Bioinformatics, Moorenstraße 20, 40225 Düsseldorf, Germany.
- Broad Institute (US)
- BioNano Genomics (United States) (US)
- Yale University (US)
- Xi'an Jiaotong University (CN)
- European Molecular Biology Laboratory (DE)
- University of Alabama at Birmingham (US)
- University of Southern California (US)
- Genomes and Disease, Centre for Research in Molecular Medicine and Chronic Diseases (CIMUS), Universidade de Santiago de Compostela, Santiago de Compostela, Spain.
- University of Maryland, Baltimore (US)
- European Bioinformatics Institute (GB)
- New York Genome Center (US)
- New York Genome Center, New York, NY 10013, USA.
- Temple University (US)
- Pacific Biosciences (United States) (US)
- Max Planck Institute for Informatics (DE)
- Washington University in St. Louis (US)
- University of Chicago (US)
- Ewha Womans University (KR)
- Howard Hughes Medical Institute (US)
- Corresponding author
- Lee, Charles
- Korbel, Jan O.
- Marschall, Tobias
- Eichler, Evan E.
- ORCID
- Ebert, Peter
- Audano, Peter A.
- Zhu, Qihui
- Rodriguez-Martin, Bernardo
- Porubsky, David
- Bonder, Marc Jan
- Sulovari, Arvis
- Ebler, Jana
- Zhou, Weichen
- Serra Mari, Rebecca
- Yilmaz, Feyza
- Zhao, Xuefang
- Hsieh, PingHsun
- Lee, Joyce
- Kumar, Sushant
- Lin, Jiadong
- Rausch, Tobias
- Chen, Yu
- Ren, Jingwen
- Höps, Wolfram
- Ashraf, Hufsah
- Chuang, Nelson T.
- Yang, Xiaofei
- Munson, Katherine M.
- Lewis, Alexandra P.
- Fairley, Susan
- Tallon, Luke J.
- Clarke, Wayne E.
- Basile, Anna O.
- Byrska-Bishop, Marta
- Corvelo, André
- Evani, Uday S.
- Lu, Tsung-Yu
- Chaisson, Mark J. P.
- Chen, Junjie
- Li, Chong
- Brand, Harrison
- Wenger, Aaron M.
- Ghareghani, Maryam
- Harvey, William T.
- Raeder, Benjamin
- Hasenfeld, Patrick
- Regier, Allison A.
- Abel, Haley J.
- Hall, Ira M.
- Flicek, Paul
- Stegle, Oliver
- Gerstein, Mark B.
- Tubio, Jose M. C.
- Mu, Zepeng
- Li, Yang I.
- Shi, Xinghua
- Hastie, Alex R.
- Ye, Kai
- Chong, Zechen
- Sanders, Ashley D.
- Zody, Michael C.
- Talkowski, Michael E.
- Mills, Ryan E.
- Devine, Scott E.
- Lee, Charles
- Korbel, Jan O.
- Marschall, Tobias
- Eichler, Evan E.
- Venue
- Science
- Published
- 2021-04-02
- Volume
- 372
- Issue
- 6537
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- PMC
- PMC8026704
- OpenAlex
- W3130788486
- Cited by
- 702
- References
- 212
- Citations by year
- 2026: 97 · 2025: 143 · 2024: 135 · 2023: 128 · 2022: 134 · 2021: 62
- FWCI
- 66.01
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Licence
- cc-by-nd
- Locations
- Science (publishedVersion)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nd)
- PubMed (publishedVersion)
- University of Groningen research database (University of Groningen / Centre for Information Technology) (publishedVersion, other-oa)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- MDC Repository (Max-Delbrueck-Center for Molecular Medicine) (submittedVersion)
- The Mouseion at the JAXlibrary (Jackson Laboratory) (submittedVersion)
- Funders
- National Institutes of Health (U24HG007497, R01HG002898, R01HD081256, 1U01HG010973, R01HG002385, R15HG009565, 1R35GM138212, 1OT3HL147154, 1R01HG007068-01A1, R01MH115957, R01GM130738)
- National Human Genome Research Institute (3UM1HG008901-03S1, 3UM1HG008901-04S2, K99HG011041, UM1HG008901)
- National Science Foundation of China (32070663)
- Wellcome (WT104947/Z/14/Z)
- Bundesministerium für Bildung und Forschung (031L0184, 031L0181A)
- Deutsche Forschungsgemeinschaft (391137747, 395192176)
- European Research Council (773026, 716290)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomic variations and chromosomal abnormalities
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genome Rearrangement Algorithms
- Keywords
- haplotype-resolved genome, structural variants, de novo genome assembly, long-read sequencing, strand-specific sequencing, transposable elements, expression quantitative trait loci, positive selection, human genetic variation
- MeSH terms
- Whole Genome Sequencing, Female, Genotype, Haplotypes, Humans, Male, Genetic Variation, Genome, Human, Sequence Analysis, DNA, Retroelements, Interspersed Repetitive Sequences, Quantitative Trait Loci, Population Groups, INDEL Mutation, Sequence Inversion, High-Throughput Nucleotide Sequencing
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