The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Targeted enrichment of genomic DNA regions for next-generation sequencing
Open accessAbstract
In this review, we discuss the latest targeted enrichment methods and aspects of their utilization along with second-generation sequencing for complex genome analysis. In doing so, we provide an overview of issues involved in detecting genetic variation, for which targeted enrichment has become a powerful tool. We explain how targeted enrichment for next-generation sequencing has made great progress in terms of methodology, ease of use and applicability, but emphasize the remaining challenges such as the lack of even coverage across targeted regions. Costs are also considered versus the alternative of whole-genome sequencing which is becoming ever more affordable. We conclude that targeted enrichment is likely to be the most economical option for many years to come in a range of settings.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
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
Sequencing technologies – the next generation
Metzker, M. L. (2010) · Nature Reviews Genetics · doi:10.1038/nrg2626 · Cited by 7,066
The complete genome of an individual by massively parallel DNA sequencing
Wheeler, D. A., Srinivasan, M., Egholm, M., Shen, Y., Chen, L., McGuire, A., He, W., Chen, Y.-J., Makhijani, V., Roth, G. T., et al. (2008) · Nature · doi:10.1038/nature06884 · Cited by 1,838
Gnirke, A., Melnikov, A., Maguire, J., Rogov, P., LeProust, E. M., Brockman, W., Fennell, T., Giannoukos, G., Fisher, S., Russ, C., et al. (2009) · Nature Biotechnology · doi:10.1038/nbt.1523 · Cited by 1,433
A survey of sequence alignment algorithms for next-generation sequencing
Li, H., & Homer, N. (2010) · Briefings in Bioinformatics · doi:10.1093/bib/bbq015 · Cited by 875
Direct selection of human genomic loci by microarray hybridization
Albert, T. J., Molla, M. N., Muzny, D. M., Nazareth, L., Wheeler, D., Song, X., Richmond, T. A., Middle, C. M., Rodesch, M. J., Packard, C. J., et al. (2007) · Nature Methods · doi:10.1038/nmeth1111 · Cited by 681
Microdroplet-based PCR enrichment for large-scale targeted sequencing
Tewhey, R., Warner, J. B., Nakano, M., Libby, B., Medkova, M., David, P. H., Kotsopoulos, S. K., Samuels, M. L., Hutchison, J. B., Larson, J. W., et al. (2009) · Nature Biotechnology · doi:10.1038/nbt.1583 · Cited by 454
Amplification of complex gene libraries by emulsion PCR
Williams, R., Peisajovich, S. G., Miller, O. J., Magdassi, S., Tawfik, D. S., & Griffiths, A. D. (2006) · Nature Methods · doi:10.1038/nmeth896 · Cited by 358
Cited by
Vogelstein, B., Papadopoulos, N., Velculescu, V. E., Zhou, S., Diaz, L. A., & Kinzler, K. W. (2013) · Science · doi:10.1126/science.1235122 · Cited by 7,863
Scaling up: A guide to high‐throughput genomic approaches for biodiversity analysis
Porter, T. M., & Hajibabaei, M. (2018) · Molecular Ecology · doi:10.1111/mec.14478 · Cited by 305
D'Amore, A., Tessa, A., Casali, C., Dotti, M. T., Filla, A., Silvestri, G., Antenora, A., Astrea, G., Barghigiani, M., Battini, R., et al. (2018) · Frontiers in Neurology · doi:10.3389/fneur.2018.00981 · Cited by 90
Marcuzzi, O., Calcaterra, F., Olivera, L. H., Arizmendi, A., Henry, M. R. J. M., Cardoso, D. C., Echeverri, A. M. L., Liron, J. P., Fernández, M. E., Andrade de Oliveira, D. A., et al. (2025) · BMC Genomic Data · doi:10.1186/s12863-025-01365-8 · Cited by 1
Metadata
- Authors
- Mertes, F., ElSharawy, A., Sauer, S., van Helvoort, J. M. L. M., van der Zaag, P. J., Franke, A., Nilsson, M., Lehrach, H., & Brookes, A. J.
- Venue
- Briefings in Functional Genomics
- Publisher
- Oxford University Press (OUP)
- Published
- 2011-11-01
- Volume
- 10
- Issue
- 6
- Pages
- 374-386
- ISSN
- 2041-2647 (ISSN-L)
- 2041-2649
- 2041-2657
- OpenAlex
- W2167372793
- Cited by
- 253
- References
- 8
- FWCI
- 6.47
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Targeted enrichment of genomic DNA regions for next-generation sequencing. https://app.cochat.ai/papers/10.1093/bfgp/elr033
- The paper
- Mertes, F., ElSharawy, A., Sauer, S., van Helvoort, J. M. L. M., van der Zaag, P. J., Franke, A., Nilsson, M., Lehrach, H., & Brookes, A. J. (2011). Targeted enrichment of genomic DNA regions for next-generation sequencing. Briefings in Functional Genomics. https://doi.org/10.1093/bfgp/elr033
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
