The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Unbiased Whole-Genome Amplification Directly From Clinical Samples
Open accessAbstract
Preparation of genomic DNA from clinical samples is a bottleneck in genotyping and DNA sequencing analysis and is frequently limited by the amount of specimen available. We use Multiple Displacement Amplification (MDA) to amplify the whole genome 10,000-fold directly from small amounts of whole blood, dried blood, buccal cells, cultured cells, and buffy coats specimens, generating large amounts of DNA for genetic testing. Genomic DNA was evenly amplified with complete coverage and consistent representation of all genes. All 47 loci analyzed from 44 individuals were represented in the amplified DNA at between 0.5- and 3.0-fold of the copy number in the starting genomic DNA template. A high-fidelity DNA polymerase ensures accurate representation of the DNA sequence. The amplified DNA was indistinguishable from the original genomic DNA template in 5 SNP and 10 microsatellite DNA assays on three different clinical sample types for 20 individuals. Amplification of genomic DNA directly from cells is highly reproducible, eliminates the need for DNA template purification, and allows genetic testing from small clinical samples. The low amplification bias of MDA represents a dramatic technical improvement in the ability to amplify a whole genome compared with older, PCR-based methods.
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
Primer-Directed Enzymatic Amplification of DNA with a Thermostable DNA Polymerase
Saiki, R. K., Gelfand, D. H., Stoffel, S., Scharf, S. J., Higuchi, R., Horn, G. T., Mullis, K. B., & Erlich, H. A. (1988) · Science · doi:10.1126/science.2448875 · Cited by 17,719
Mutations of the BRAF gene in human cancer
Davies, H., Bignell, G. R., Cox, C., Stephens, P., Edkins, S., Clegg, S., Teague, J., Woffendin, H., Garnett, M. J., Bottomley, W., et al. (2002) · Nature · doi:10.1038/nature00766 · Cited by 10,674
Blocks of Limited Haplotype Diversity Revealed by High-Resolution Scanning of Human Chromosome 21
Patil, N., Berno, A. J., Hinds, D. A., Barrett, W. A., Doshi, J. M., Hacker, C. R., Kautzer, C. R., Lee, D. H., Marjoribanks, C., McDonough, D. P., et al. (2001) · Science · doi:10.1126/science.1065573 · Cited by 1,145
Cited by
CRISPR/Cas9-mediated gene editing in human tripronuclear zygotes
Liang, P., Xu, Y., Zhang, X., Ding, C., Huang, R., Zhang, Z., Lv, J., Xie, X., Chen, Y., Li, Y., et al. (2015) · Protein & Cell · doi:10.1007/s13238-015-0153-5 · Cited by 1,135
Multiple regions within 8q24 independently affect risk for prostate cancer
Haiman, C. A., Patterson, N., Freedman, M. L., Myers, S. R., Pike, M. C., Waliszewska, A., Neubauer, J., Tandon, A., Schirmer, C., McDonald, G. J., et al. (2007) · Nature Genetics · doi:10.1038/ng2015 · Cited by 663
Array comparative genomic hybridization and its applications in cancer
Pinkel, D., & Albertson, D. G. (2005) · Nature Genetics · doi:10.1038/ng1569 · Cited by 585
Mosaic Copy Number Variation in Human Neurons
McConnell, M. J., Lindberg, M. R., Brennand, K. J., Piper, J. C., Voet, T., Cowing-Zitron, C., Shumilina, S., Lasken, R. S., Vermeesch, J. R., Hall, I. M., et al. (2013) · Science · doi:10.1126/science.1243472 · Cited by 551
Self-citationThe lung microbiome in moderate and severe chronic obstructive pulmonary disease
Pragman, A. A., Kim, H. B., Reilly, C. S., Wendt, C., & Isaacson, R. E. (2012) · PLoS ONE · doi:10.1371/journal.pone.0047305 · Cited by 437
Myelodysplastic syndrome progression to acute myeloid leukemia at the stem cell level
Chen, J., Kao, Y.-R., Sun, D., Todorova, T. I., Reynolds, D., Narayanagari, S.-R., Montagna, C., Will, B., Verma, A., & Steidl, U. (2019) · Nature Medicine · doi:10.1038/s41591-018-0267-4 · Cited by 226
L1-associated genomic regions are deleted in somatic cells of the healthy human brain
Erwin, J. A., Paquola, A. C. M., Singer, T., Gallina, I., Novotny, M., Quayle, C., Bedrosian, T. A., Alves, F. I. A., Butcher, C. R., Herdy, J. R., et al. (2016) · Nature Neuroscience · doi:10.1038/nn.4388 · Cited by 195
Self-citationDu, H.-Y., Pumbo, E., Ivanovich, J., An, P., Maziarz, R. T., Reiss, U. M., Chirnomas, D., Shimamura, A., Vlachos, A., Lipton, J. M., et al. (2009) · Blood · doi:10.1182/blood-2008-07-166421 · Cited by 158
Calibrating genomic and allelic coverage bias in single-cell sequencing
Zhang, C.-Z., Adalsteinsson, V. A., Francis, J., Cornils, H., Jung, J., Maire, C., Ligon, K. L., Meyerson, M., & Love, J. C. (2015) · Nature Communications · doi:10.1038/ncomms7822 · Cited by 112
Advancements toward a systems level understanding of the human oral microbiome
McLean, J. S. (2014) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2014.00098 · Cited by 108
Wang, X., Morgan, D. M., Wang, G., & Mozier, N. M. (2012) · Biotechnology and Bioengineering · doi:10.1002/bit.23343 · Cited by 41
Ren, P., Zheng, C., Pang, Y., Qiang, Y., Sun, S., Wang, Q., Xu, W., Lee, M., Lu, Z., Zhou, M., et al. (2025) · Nature Aging · doi:10.1038/s43587-025-01011-z · Cited by 6
Metadata
- Authors
- Hosono, S., Faruqi, A. F., Dean, F. B., Du, Y., Sun, Z., Wu, X., Du, J., Kingsmore, S. F., Egholm, M., & Lasken, R. S.
- Venue
- Genome Research
- Publisher
- Cold Spring Harbor Laboratory
- Published
- 2003-04-14
- Volume
- 13
- Issue
- 5
- Pages
- 954-964
- ISSN
- 1088-9051 (ISSN-L)
- 1549-5469
- OpenAlex
- W2086814185
- Cited by
- 410
- References
- 3
- Type
- posted content
- Language
- en
- Open access
- bronze
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
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.