The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
A System for Specific, High-throughput Genotyping by Allele-specific Primer Extension on Microarrays
Open accessAbstract
This study describes a practical system that allows high-throughput genotyping of single nucleotide polymorphisms (SNPs) and detection of mutations by allele-specific extension on primer arrays. The method relies on the sequence-specific extension of two immobilized allele-specific primers that differ at their 3′-nucleotide defining the alleles, by a reverse transcriptase (RT) enzyme at optimized reaction conditions. We show the potential of this simple one-step procedure performed on spotted primer arrays of low redundancy by generating over 8000 genotypes for 40 mutations or SNPs. The genotypes formed three easily identifiable clusters and all known genotypes were assigned correctly. Higher degrees of multiplexing will be possible with this system as the power of discrimination between genotypes remained unaltered in the presence of over 100 amplicons in a single reaction. The enzyme-assisted reaction provides highly specific allele distinction, evidenced by its ability to detect minority sequence variants present in 5% of a sample at multiple sites. The assay format based on miniaturized reaction chambers at standard 384-well spacing on microscope slides carrying arrays with two primers per SNP for 80 samples results in low consumption of reagents and makes parallel analysis of a large number of samples convenient. In the assay one or two fluorescent nucleotide analogs are used as labels, and thus the genotyping results can be interpreted with presently available array scanners and software. The general accessibility, simple set-up, and the robust procedure of the array-based genotyping system described here will offer an easy way to increase the throughput of SNP typing in any molecular biology laboratory.
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 novel MHC class I-like gene is mutated in patients with hereditary haemochromatosis
Feder, J. N., Gnirke, A., Thomas, W., Tsuchihashi, Z., Ruddy, D. A., Basava, A., Dormishian, F., Domingo, R., Ellis, M. C., Fullan, A., et al. (1996) · Nature Genetics · doi:10.1038/ng0896-399 · Cited by 3,664
Cited by
Accessing genetic variation: genotyping single nucleotide polymorphisms
Syvänen, A.-C. (2001) · Nature Reviews Genetics · doi:10.1038/35103535 · Cited by 1,083
Self-citationHellborg, L., & Ellegren, H. (2003) · Molecular Ecology · doi:10.1046/j.1365-294x.2003.01702.x · Cited by 788
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
Larsson, C., Koch, J., Nygren, A., Janssen, G., Raap, A. K., Landegren, U., & Nilsson, M. (2004) · Nature Methods · doi:10.1038/nmeth723 · Cited by 331
Forche, A., May, G., & Magee, P. T. (2005) · Eukaryotic Cell · doi:10.1128/ec.4.1.156-165.2005 · Cited by 82
Metadata
- Authors
- Pastinen, T., Raitio, M., Lindroos, K., Tainola, P., Peltonen, L., & Syvänen, A.-C.
- Venue
- Genome Research
- Publisher
- Cold Spring Harbor Laboratory
- Published
- 2000-07-01
- Volume
- 10
- Issue
- 7
- Pages
- 1031-1042
- ISSN
- 1088-9051 (ISSN-L)
- 1549-5469
- OpenAlex
- W2021003438
- Cited by
- 359
- References
- 1
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A System for Specific, High-throughput Genotyping by Allele-specific Primer Extension on Microarrays. https://app.cochat.ai/papers/10.1101/gr.10.7.1031
- The paper
- Pastinen, T., Raitio, M., Lindroos, K., Tainola, P., Peltonen, L., & Syvänen, A.-C. (2000). A System for Specific, High-throughput Genotyping by Allele-specific Primer Extension on Microarrays. Genome Research. https://doi.org/10.1101/gr.10.7.1031
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.