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Genotype and SNP calling from next-generation sequencing data
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Meaningful analysis of next-generation sequencing (NGS) data, which are produced extensively by genetics and genomics studies, relies crucially on the accurate calling of SNPs and genotypes. Recently developed statistical methods both improve and quantify the considerable uncertainty associated with genotype calling, and will especially benefit the growing number of studies using low- to medium-coverage data. We review these methods and provide a guide for their use in NGS studies.
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“Similarly, NGS technology has been used to call SNP genotypes and structural variations and provides the ultimate coverage and resolution of genetic variations including private mutations of individuals.”
From Integrative Analysis of Multi-omics Data for Discovery and Functional Studies of Complex Human Diseases (2016) · cites this paper as Nielsen et al., 2011
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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
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
Ultrafast and memory-efficient alignment of short DNA sequences to the human genome.
Langmead, B., Trapnell, C., Pop, M., & Salzberg, S. L. (2009) · Genome Biology · doi:10.1186/gb-2009-10-3-r25 · Cited by 21,849
Trapnell, C., Williams, B. A., Pertea, G., Mortazavi, A., Kwan, G., van Baren, M. J., Salzberg, S. L., Wold, B. J., & Pachter, L. (2010) · Nature Biotechnology · doi:10.1038/nbt.1621 · Cited by 15,556
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 11,457
Velvet: Algorithms for de novo short read assembly using de Bruijn graphsPreprint
Zerbino, D. R., & Birney, E. (2008) · Genome Research · doi:10.1101/gr.074492.107 · Cited by 9,575
A map of human genome variation from population-scale sequencing.
The 1000 Genomes Project Consortium (2010) · Nature · doi:10.1038/nature09534 · Cited by 7,877
dbSNP: the NCBI database of genetic variation
Sherry, S. T. (2001) · Nucleic Acids Research · doi:10.1093/nar/29.1.308 · Cited by 7,502
Sequencing technologies – the next generation
Metzker, M. L. (2010) · Nature Reviews Genetics · doi:10.1038/nrg2626 · Cited by 7,066
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Intra-Species Genomic Variation in the Pine Pathogen Fusarium circinatum
Maphosa, M., Steenkamp, E. T., Kanzi, A. M., van Wyk, S., Vos, L. D., Santana, Q. C., Duong, T. A., & Wingfield, B. D. (2022) · Journal of Fungi · doi:10.3390/jof8070657 · Cited by 12
HMMploidy: inference of ploidy levels from short-read sequencing data
Soraggi, S., Rhodes, J. L., Altinkaya, I., Tarrant, O., Balloux, F., Fisher, M. C., & Fumagalli, M. (2022) · Peer Community Journal · doi:10.24072/pcjournal.178 · Cited by 12
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Yeo, H., Tan, H. Z., Tang, Q., Tan, T. R. H., Puniamoorthy, N., & Rheindt, F. E. (2023) · iScience · doi:10.1016/j.isci.2023.107577 · Cited by 12
Guo, L., Xia, J., Yang, S., Li, M., You, X., Meng, Z., & Lin, H. (2015) · International Journal of Molecular Sciences · doi:10.3390/ijms161125940 · Cited by 12
Quillery, E., Quenez, O., Peterlongo, P., & Plantard, O. (2013) · Molecular Ecology Resources · doi:10.1111/1755-0998.12179 · Cited by 12
Meijers, J. C. M., Middeldorp, S., & Cunha, M. L. R. (2015) · Thrombosis and Haemostasis · doi:10.1160/th15-05-0411 · Cited by 12
Zeng, F., Jiang, R., & Chen, T. (2013) · Bioinformatics · doi:10.1093/bioinformatics/btt512 · Cited by 12
A world in a grain of sand: human history from genetic data
Colonna, V., Pagani, L., Xue, Y., & Tyler‐Smith, C. (2011) · Genome biology · doi:10.1186/gb-2011-12-11-234 · Cited by 12
Ronza, P., Robledo, D., Bermúdez, R., Losada, A. P., Pardo, B. G., Martı́nez, P., & Quiroga, M. I. (2019) · Frontiers in Genetics · doi:10.3389/fgene.2019.00026 · Cited by 12
miR-520d-5p can reduce the mutations in hepatoma cancer cells and iPSCs-derivatives
Miura, N., Ishihara, Y., Miura, Y., Kimoto, M., & Miura, K. (2019) · BMC Cancer · doi:10.1186/s12885-019-5786-y · Cited by 12
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Al-Khafaji, B. J., Salih, M. A., Nabat, Z. M., & Shnain, S. A. (2020) · Periodicals of Engineering and Natural Sciences (PEN) · doi:10.21533/pen.v8.i2.1135 · Cited by 12
Whole‑genome sequencing of a monozygotic twin discordant for systemic lupus erythematosus
Chen, F., Li, Z., Li, R., & Li, Y. (2018) · Molecular Medicine Reports · doi:10.3892/mmr.2018.8912 · Cited by 12
Schebeck, M., Dowle, E., Schuler, H., Avtzis, D. Ν., Bertheau, C., Feder, J. L., Ragland, G. J., & Stauffer, C. (2018) · Scientific Reports · doi:10.1038/s41598-018-32617-6 · Cited by 12
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Halldórsdóttir, K., & Árnason, E. (2015) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/034926 · Cited by 12
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Torracinta, R., & Campagne, F. (2016) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/097469 · Cited by 12
Xie, S., Isaacs, K., Becker, G. M., & Murdoch, B. M. (2023) · Journal of Animal Science and Biotechnology/Journal of animal science and biotechnology · doi:10.1186/s40104-023-00923-3 · Cited by 11
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Zhang, Z., Zhang, J., Kang, L., Qiu, X., Xu, S., Xu, J. Q., Guo, Y., Niu, Z., Niu, B., Bi, A., et al. (2024) · The Plant Journal · doi:10.1111/tpj.17011 · Cited by 11
Sipos, B., Massingham, T., Stütz, A. M., & Goldman, N. (2012) · PLoS ONE · doi:10.1371/journal.pone.0043359 · Cited by 12
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Andersen, J. C., & Mills, N. J. (2014) · BMC Genomics · doi:10.1186/1471-2164-15-858 · Cited by 11
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Ren, Y., Reddy, J. S., Pottier, C. P., Sarangi, V., Tian, S., Sinnwell, J. P., McDonnell, S. K., Biernacka, J. M., Carrasquillo, M. M., Ross, O. A., et al. (2018) · BMC Bioinformatics · doi:10.1186/s12859-018-2151-0 · Cited by 12
Schneider, K., White, T. J., Mitchell, S., Adams, C. E., Reeve, R. E., & Elmer, K. R. (2020) · Journal of Evolutionary Biology · doi:10.1111/jeb.13738 · Cited by 12
Muir, A., Dubois, S., Ross, R. E., Firth, L. B., Knights, A. M., Lima, F. P., Seabra, R., Corre, E., Corguillé, G. L., & Nunes, F. L. D. (2020) · BMC Evolutionary Biology · doi:10.1186/s12862-020-01658-9 · Cited by 11
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Wang, R. J., Predrag Radivojac, A., & Hahn, M. W. (2020) · Genetics · doi:10.1093/genetics/iyaa014 · Cited by 11
Manuzzi, A., Jiménez‐Mena, B., Henriques, R., Holmes, B. J., Pepperell, J. G., Edson, J., Bennett, M. B., Huveneers, C. P. M., Ovenden, J. R., & Nielsen, E. E. (2022) · Scientific Reports · doi:10.1038/s41598-022-10529-w · Cited by 11
Recent advances in biosensors and sequencing technologies for the detection of mutations
Ouédraogo, S. Y., Zhou, X., Chen, H., Chen, F., & Ma, C. (2022) · Microchemical Journal · doi:10.1016/j.microc.2022.108306 · Cited by 11
Variety Protection and Plant Breeders’ Rights in the ‘DNA Era’
Jones, H., Norris, C. E., Cockram, J., & Lee, D. (2013) · Springer eBooks · doi:10.1007/978-94-007-5687-8_18 · Cited by 11
Ionita‐Laza, I., Cho, M. H., & Laird, N. M. (2012) · Statistics in Biosciences · doi:10.1007/s12561-012-9062-9 · Cited by 11
An Integrated SNP Mining and Utilization (ISMU) Pipeline for Next Generation Sequencing Data
Azam, S., Rathore, A., Shah, T. M., Telluri, M., Amindala, B., Ruperao, P., Katta, M. A. V. S. K., & Varshney, R. K. (2014) · PLoS ONE · doi:10.1371/journal.pone.0101754 · Cited by 11
Xie, C., Weng, J., Liu, W., Zou, C., Hao, Z., Li, W., Li, M., Guo, X., Zhang, G., Xu, Y., et al. (2013) · The Crop Journal · doi:10.1016/j.cj.2013.07.002 · Cited by 11
Shimizu, T., Kaminuma, E., Nonaka, K., Yoshioka, T., Goto, S., Matsumoto, T., Katayose, Y., Mochizuki, T., Tanizawa, Y., Toyoda, A., et al. (2016) · Acta Horticulturae · doi:10.17660/actahortic.2016.1135.4 · Cited by 11
Machida, M., Taki, T., & Kibayashi, K. (2017) · Forensic Science International Genetics · doi:10.1016/j.fsigen.2017.08.007 · Cited by 11
Shanmao, C., Zhu, L., Nie, H., Yin, M., Liu, G., & Yan, X. (2018) · Gene · doi:10.1016/j.gene.2018.03.019 · Cited by 11
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Srivastava, S. K., Wolinski, P. D., & Pereira, A. (2014) · PLoS ONE · doi:10.1371/journal.pone.0105335 · Cited by 11
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Bernhardsson, C., Wang, X., Eklöf, H., & Ingvarsson, P. K. (2020) · Compendium of plant genomes · doi:10.1007/978-3-030-21001-4_2 · Cited by 11
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Al‐Hajaj, N., Peterson, G. W., Horbach, C., Al-Shamaa, K., Tinker, N. A., & Fu, Y. (2018) · Genetic Resources and Crop Evolution · doi:10.1007/s10722-018-0674-x · Cited by 10
Kleftogiannis, D., Punta, M., Jayaram, A., Sandhu, S. K., Wong, S. Q., Tandefelt, D. G., Conteduca, V., Wetterskog, D., Attard, G., & Lise, S. (2019) · BMC Medical Genomics · doi:10.1186/s12920-019-0557-9 · Cited by 10
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Gupta, G., & Saini, S. (2020) · Machine Learning Science and Technology · doi:10.1088/2632-2153/ab7e19 · Cited by 10
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Muner, R. D., Moaeen-ud-Din, M., Saleem, A. H., Ullah, Q., Abbas, G., Maqbool, B., Babar, M. E., Bi, Y., & Farooq, F. (2025) · Tropical Animal Health and Production · doi:10.1007/s11250-025-04352-4 · Cited by 9
Wei, J., Li, J., Yu, J., Cheng, Y., Ruan, M., Ye, Q., Yao, Z., Wang, R., Zhou, G., Deng, M., et al. (2020) · Biotechnology & Biotechnological Equipment · doi:10.1080/13102818.2020.1787863 · Cited by 9
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Pacheco, C., Lobo, D., Silva, P., Álvares, F., García, E. J., Castro, D., Layna, J. F., López‐Bao, J. V., & Godinho, R. (2022) · Frontiers in Ecology and Evolution · doi:10.3389/fevo.2022.970249 · Cited by 9
Briddon, C. L., Miclăuș, M., Hegedűs, A., Nicoară, M., Chiriac, M., & Drugă, B. (2023) · Limnology and Oceanography · doi:10.1002/lno.12448 · Cited by 9
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Cui, M., Liu, Y., Yu, X., Guo, H., Jiang, T., Wang, Y., & Liu, B. (2024) · Briefings in Bioinformatics · doi:10.1093/bib/bbae473 · Cited by 9
Herzyk, P. (2014) · Elsevier eBooks · doi:10.1016/b978-0-12-386882-4.00008-6 · Cited by 9
Zain, S. M., Mohamed, Z., Pirmohamed, M., Tan, H. L., Alshawsh, M. A., Mahadeva, S., Chan, W., Mustapha, N. R. N., & Mohamed, R. B. (2015) · Scientific Reports · doi:10.1038/srep13306 · Cited by 9
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Hong, H., Xu, L., Su, Z., Liu, J., Ge, W., Shen, J., Fang, H., Perkins, R., Shi, L. M., & Tong, W. (2012) · Journal of Biomedical Science and Engineering · doi:10.4236/jbise.2012.510069 · Cited by 9
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Cook, K. A., Benitez, A., Fu, C. L., & Tintle, N. (2014) · Frontiers in Genetics · doi:10.3389/fgene.2014.00062 · Cited by 9
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Zhang, C., Zheng, T., Ma, Q., Yang, L., Zhang, M., Wang, J., Teng, X., Miao, Y., Lin, H.-C., Yang, Y., et al. (2022) · Angewandte Chemie · doi:10.1002/ange.202117658 · Cited by 9
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Zhou, B., & Whittemore, A. S. (2012) · The Annals of Applied Statistics · doi:10.1214/11-aoas527 · Cited by 9
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Lee, D., Hormozdiari, F., Xin, H., Hach, F., Mutlu, O., & Alkan, C. (2014) · Methods · doi:10.1016/j.ymeth.2014.10.012 · Cited by 9
Singh, B. D., & SINGH, A. K. (2015) · Springer eBooks · doi:10.1007/978-81-322-2316-0_4 · Cited by 9
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Yang, B., & Chen, Y. (2015) · Neurocomputing · doi:10.1016/j.neucom.2015.12.001 · Cited by 9
Wajnberg, G., & Passetti, F. (2016) · Expert Opinion on Drug Discovery · doi:10.1517/17460441.2016.1143813 · Cited by 9
Fleischhacker, W. W., Brooks, D. J., Dr, P., Fleischhacker, W. W., Dr, P., & Brooks, D. J. (2005) · Springer eBooks · doi:10.1007/3-211-31222-6 · Cited by 9
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Huang, Z., Rustagi, N., Veeraraghavan, N., Carroll, A. W., Gibbs, R. A., Boerwinkle, E., Venkata, M. G., & Yu, F. (2016) · BMC Bioinformatics · doi:10.1186/s12859-016-1211-6 · Cited by 9
Weber, M. N., Bauermann, F. V., Canal, C. W., Bayles, D. O., Neill, J. D., & Ridpath, J. F. (2016) · Virus Research · doi:10.1016/j.virusres.2016.09.018 · Cited by 9
Tortajada-Genaro, L. A., Niñoles, R., Mena, S., & Maquieira, Á. (2018) · The Analyst · doi:10.1039/c8an01830h · Cited by 9
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Zhou, B., & Whittemore, A. S. (2016) · Cited by 9
Lee, E. Y., Kim, M. G., Lee, H. J., Roh, Y., Lee, M., Qiao, Z., Koo, B., Liu, H., Lim, S., & Shin, Y. M. (2024) · Chemical Engineering Journal · doi:10.1016/j.cej.2024.157436 · Cited by 8
Lin, P., Yu, Y., Bao, Z., & Li, F. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms252212083 · Cited by 8
Sealock, J., Ivankovic, F., Liao, C., Chen, S., Churchhouse, C. L., Karczewski, K. J., Howrigan, D. P., & Neale, B. M. (2025) · Nature Protocols · doi:10.1038/s41596-025-01169-1 · Cited by 8
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Metadata
- Authors
- Nielsen, R., Paul, J. S., Albrechtsen, A., & Song, Y. S.
- Affiliations
- University of California, Berkeley (US)
- University of Copenhagen (DK)
- Corresponding author
- Nielsen, Rasmus
- Song, Yun S.
- Venue
- Nature Reviews Genetics
- Published
- 2011-05-18
- Volume
- 12
- Issue
- 6
- Pages
- 443-451
- ISSN
- 1471-0056 (ISSN-L)
- 1471-0064
- PMC
- PMC3593722
- OpenAlex
- W2131016694
- Cited by
- 1,396
- References
- 57
- Citations by year
- 2026: 35 · 2025: 45 · 2024: 72 · 2023: 51 · 2022: 87 · 2021: 79 · 2020: 98 · 2019: 104 · 2018: 99 · 2017: 99 · 2016: 131 · 2015: 114 · 2014: 151 · 2013: 119 · 2012: 90
- FWCI
- 11.06
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Reviews Genetics (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Research at the University of Copenhagen (University of Copenhagen) (submittedVersion)
- Funders
- National Science Foundation
- National Institutes of Health
- National Human Genome Research Institute (R01HG003229, R01-HG003229-0551, T32HG00047, T32HG000047, R01-HG003229-05)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomics and Rare Diseases
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Keywords
- genotype calling, SNP calling, next-generation sequencing, low-pass sequencing, uncertainty quantification, genotyping accuracy
- MeSH terms
- Alleles, Chromosome Mapping, Data Interpretation, Statistical, Genotype, Humans, Probability, Linkage Disequilibrium, Likelihood Functions, Sequence Analysis, DNA, Polymorphism, Single Nucleotide, Genetic Diseases, Inborn
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