The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
BeadArray ™ Technology: Enabling an Accurate, Cost-Effective Approach to High-Throughput Genotyping
Open accessAbstract
The Human Genome Project has opened the door to personalized medicine, provided that human genetic diversity can be analyzed in a high-throughput and cost-effective way Illumina has developed a genotyping system that combines very high throughput and accuracy with low cost per SNP analysis. The system uses our BeadArray platform, a high level of multiplexing, and modular, scalable automation to meet the requirements for cost-effective, genome-wide linkage disequilibrium studies. As implemented in a high-throughput genotyping service facility at Illumina, the system has a current capacity of one million SNP assays per day and is easily expandable. Each SNP call is associated with a quality score that correlates with accuracy
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Cites
A map of human genome sequence variation containing 1.42 million single nucleotide polymorphisms
The International SNP Map Working Group, Laboratories:, C. S. H., Sachidanandam, R., Weissman, D., Schmidt, S. C., Kakol, J. M., Stein, L. D., National Center for Biotechnology Information:, Marth, G., Sherry, S., et al. (2001) · Nature · doi:10.1038/35057149 · Cited by 2,977
Linkage disequilibrium in the human genome
Reich, D. E., Cargill, M., Bolk, S., Ireland, J., Sabeti, P. C., Richter, D. J., Lavery, T., Kouyoumjian, R., Farhadian, S. F., Ward, R., et al. (2001) · Nature · doi:10.1038/35075590 · Cited by 1,774
Accessing genetic variation: genotyping single nucleotide polymorphisms
Syvänen, A.-C. (2001) · Nature Reviews Genetics · doi:10.1038/35103535 · Cited by 1,083
Variation is the spice of life
Kruglyak, L., & Nickerson, D. A. (2001) · Nature Genetics · doi:10.1038/85776 · Cited by 910
A Ligase-Mediated Gene Detection Technique
Landegren, U., Kaiser, R., Sanders, J., & Hood, L. (1988) · Science · doi:10.1126/science.3413476 · Cited by 828
Methods for Genotyping Single Nucleotide Polymorphisms
Kwok, P.-Y. (2001) · Annual Review of Genomics and Human Genetics · doi:10.1146/annurev.genom.2.1.235 · Cited by 580
The use of single-nucleotide polymorphism maps in pharmacogenomics
McCarthy, J. J., & Hilfiker, R. (2000) · Nature Biotechnology · doi:10.1038/75360 · Cited by 434
Universal DNA microarray method for multiplex detection of low abundance point mutations
Gerry, N. P., Witowski, N. E., Day, J., Hammer, R. P., Barany, G., & Barany, F. (1999) · Journal of Molecular Biology · doi:10.1006/jmbi.1999.3063 · Cited by 346
Minisequencing: A Specific Tool for DNA Analysis and Diagnostics on Oligonucleotide Arrays
Pastinen, T., Kurg, A., Metspalu, A., Peltonen, L., & Syvänen, A.-C. (1997) · Genome Research · doi:10.1101/gr.7.6.606 · Cited by 342
Randomly Ordered Addressable High-Density Optical Sensor Arrays
Michael, K. L., Taylor, L. C., Schultz, S. L., & Walt, D. R. (1998) · Analytical Chemistry · doi:10.1021/ac971343r · Cited by 325
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Linkage, association, and gene-expression analyses identify CNTNAP2 as an autism-susceptibility gene
Alarcón, M., Abrahams, B. S., Stone, J. L., Duvall, J. A., Perederiy, J. V., Bomar, J. M., Sebat, J., Wigler, M., Martin, C. L., Ledbetter, D. H., et al. (2008) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2007.09.005 · Cited by 818
SNP Genotyping: Technologies and Biomedical Applications
Kim, S., & Misra, A. (2007) · Annual Review of Biomedical Engineering · doi:10.1146/annurev.bioeng.9.060906.152037 · Cited by 622
What makes a good genetic association study?
Hattersley, A. T., & McCarthy, M. I. (2005) · The Lancet · doi:10.1016/s0140-6736(05)67531-9 · Cited by 470
Nabel, E. G. (2003) · New England Journal of Medicine · doi:10.1056/nejmra035098 · Cited by 431
Basic Concepts of Microarrays and Potential Applications in Clinical Microbiology
Miller, M. B., & Tang, Y.-W. (2009) · Clinical Microbiology Reviews · doi:10.1128/cmr.00019-09 · Cited by 419
A Genome Wide Survey of SNP Variation Reveals the Genetic Structure of Sheep Breeds
Kijas, J. W., Townley, D., Dalrymple, B. P., Heaton, M. P., Maddox, J. F., McGrath, A., Wilson, P., Ingersoll, R. G., McCulloch, R., McWilliam, S., et al. (2009) · PLoS ONE · doi:10.1371/journal.pone.0004668 · Cited by 364
Single nucleotide polymorphism genotyping in polyploid wheat with the Illumina GoldenGate assay
Akhunov, E., Nicolet, C., & Dvorak, J. (2009) · Theoretical and Applied Genetics · doi:10.1007/s00122-009-1059-5 · Cited by 288
Barcellos, L. F., May, S. L., Ramsay, P. P., Quach, H. L., Lane, J. A., Nititham, J., Noble, J. A., Taylor, K. E., Quach, D. L., Chung, S. A., et al. (2009) · PLoS Genetics · doi:10.1371/journal.pgen.1000696 · Cited by 131
“9 Mb across the MHC region with ,2 kb/SNP spacing and utilizes the robust Golden-Gate technology [38].”
MethodBrezo, J., Bureau, A., Mérette, C., Jomphe, V, Barker, E. D., Vitaro, F., Hébert, M., Carbonneau, R., Tremblay, R. E., & Turecki, G. (2010) · Molecular Psychiatry · doi:10.1038/mp.2009.19 · Cited by 109
COMT Haplotypes Modulate Associations of Antenatal Maternal Anxiety and Neonatal Cortical Morphology
Qiu, A., Tuan, T. A., Ong, M. L., Li, Y., Chen, H., Rifkin-Graboi, A., Broekman, B. F. P., Kwek, K., Saw, S.-M., Chong, Y.-S., et al. (2015) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2014.14030313 · Cited by 100
Mitochondrial DNA mutations and essential hypertension (Review)
DING, Y., XIA, B., YU, J., LENG, J., & HUANG, J. (2013) · International Journal of Molecular Medicine · doi:10.3892/ijmm.2013.1459 · Cited by 27
Qiu, A., Zhang, H., Wang, C., Chong, Y.-S., Shek, L. P., Gluckman, P. D., Meaney, M. J., Fortier, M. V., & Wu, Y. (2021) · Translational Psychiatry · doi:10.1038/s41398-021-01292-z · Cited by 23
A High-Resolution 15,000Rad Radiation Hybrid Panel for the Domestic Cat
Bach, L. H., Gandolfi, B., Grahn, J. C., Millon, L. V., Kent, M. S., Narfstrom, K., Cole, S. A., Mullikin, J. C., Grahn, R. A., & Lyons, L. A. (2012) · Cytogenetic and Genome Research · doi:10.1159/000339416 · Cited by 10
Metadata
- Authors
- Oliphant, A., Barker, D. L., Stuelpnagel, J. R., & Chee, M. S.
- Venue
- BioTechniques
- Publisher
- Informa UK Limited
- Published
- 2002-06
- Volume
- 32
- Issue
- sup6
- Pages
- 56-8, 60
- ISSN
- 0736-6205 (ISSN-L)
- 1940-9818
- OpenAlex
- W196951419
- Cited by
- 461
- References
- 15
- FWCI
- 15.17
- Type
- journal article
- Language
- en
- Open access
- gold
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