|
|
|
|
Vol. 10, Issue 6, 853-860, June 2000
LETTER
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| |
ABSTRACT |
|---|
|
|
|---|
Large scale human genetic studies require technologies for generating millions of genotypes with relative ease but also at a reasonable cost and with high accuracy. We describe a highly parallel method for genotyping single nucleotide polymorphisms (SNPs), using generic high-density oligonucleotide arrays that contain thousands of preselected 20-mer oligonucleotide tags. First, marker-specific primers are used in PCR amplifications of genomic regions containing SNPs. Second, the amplification products are used as templates in single base extension (SBE) reactions using chimeric primers with 3' complementarity to the specific SNP loci and 5' complementarity to specific probes, or tags, synthesized on the array. The SBE primers, terminating one base before the polymorphic site, are extended in the presence of labeled dideoxy NTPs, using a different label for each of the two SNP alleles, and hybridized to the tag array. Third, genotypes are deduced from the fluorescence intensity ratio of the two colors. This approach takes advantage of multiplexed sample preparation, hybridization, and analysis at each stage. We illustrate and test this method by genotyping 44 individuals for 142 human SNPs identified previously in 62 candidate hypertension genes. Because the hybridization results are quantitative, this method can also be used for allele-frequency estimation in pooled DNA samples.
| |
INTRODUCTION |
|---|
|
|
|---|
The Human Genome Project and other private efforts are producing
large amounts of genome sequence and polymorphism
data that will provide scientists with an unprecedented opportunity to
probe the structure and function of the human genome (Collins et al. 1998
). In the realm of human disease, these genomic resources will
allow the dissection of the genetic components and molecular mechanisms
of complex human diseases and traits. Identification of complex disease
genes will require both linkage and association analyses of thousands
of polymorphisms across the human genome in thousands of individuals
(Risch and Merikangas 1996
; Collins et al. 1997
; Chakravarti 1999
). To
enable such large-scale polymorphism analysis in human studies,
parallel and efficient genotyping methods are critically needed. The
most common variant in the human genome is the single nucleotide
polymorphism (SNP) (Wang et al. 1998
; Cargill et al. 1999
; Halushka et
al. 1999
). Homogenous and microarray-based minisequencing has been used
to genotype SNPs in human populations (Syvanen et al. 1990
; Kuppuswamy
et al. 1991
; Chen and Kwok 1997
; Pastinen et al. 1997
,1998
; Syvanen
1998
). We present a parallel genotyping method for SNPs, termed
TAG-SBE, which analyzes allele-specific single base extension (SBE)
reactions on standardized, generic high-density oligonucleotide probe
arrays (Chee et al. 1996
; Shoemaker et al. 1996
; Wang et al. 1998
;
Lipshutz et al. 1999
). In TAG-SBE, the array is independent of the
specific markers genotyped and the assay can be customized for sets of
markers through PCR and SBE primer selection. Because this genotyping
method is generic, intrinsically parallel, and favors multiplexed
reactions, TAG-SBE is well-suited for large-scale human genetic studies.
To design the tag arrays, all possible 20 mers (420 or
~1012) were subjected to a computational screen that
favored a subset of sequences with similar GC content and thermodynamic
properties, and eliminated sequences with possible secondary structure
or sequence similarity to other tags (Shoemaker et al. 1996
; Giaever et
al. 1999
; Winzeler et al. 1999
). A set of 32,000 tags was selected, with all tags expected to have similar hybridization characteristics and minimal cross-hybridization under standard hybridization
conditions. As a hybridization control, and to enable background and
cross-hybridization subtraction, each tag probe (PM, perfect match) is
paired with a second probe that is identical in sequence except for a
single base difference at the central position (MM, mismatch). The
high-density tag array used in this study consists of over 64,000 distinct probes, over 32,000 PM tag probes, and over 32,000 adjacent MM probes, each probe occupying an area of 30×30 µm.
The TAG-SBE genotyping method pairs the extension primer for each marker with a unique tag sequence, allowing the deconvolution of multiplexed preparations on a single high-density probe array (Fig. 1). The TAG-SBE approach can also be multiplexed both at the primary PCR and the SBE steps (see below). The resulting hybridization pattern from a typical TAG-SBE assay is shown in Figure 2A. The intensities of the two fluorophores used are measured and corrected for background and spectral overlap. The quantitative hybridization results are then used to make genotype calls (Figure 2B).
|
|
We first tested whether SBE methods for genotyping could be simplified.
Previously published SBE methods such as minisequencing (Pastinen et
al. 1997
,1998
; Syvanen 1998
) and genetic bit analysis (Nikiforov et al.
1994
; Head et al. 1997
) required that double-stranded templates be
converted to single-stranded templates prior to the base extension
reaction [although double-stranded templates have been successfully
used in fluorescence energy transfer-based SBE assays (Chen et al.
1997
)]. We compared the TAG-SBE results obtained with three SNP
markers using both single-stranded and double-stranded PCR products as
templates, and found similar two-color intensity ratios and no
significant differences in the absolute hybridization signal
intensities. Thus, for all subsequent analyses, and the assays
described here, double-stranded PCR templates were used in the SBE reactions.
To test the robustness, accuracy, and efficiency of the TAG-SBE
method, we developed genotyping assays for a subset of the 874 SNPs
that were identified recently in a large-scale polymorphism screen of
75 hypertension candidate genes (Halushka et al. 1999
). Of these, we
chose 171 SNPs in 68 genes, focusing on SNPs likely to have a
functional significance: We chose SNPs in promoter regions, at splice
junctions, and those that altered protein sequence. PCR primers were
designed and tested individually for each of the 171 SNP-containing
genomic regions. Of these, eight (4.7%) failed to amplify, and SBE
primers were designed for the remaining 163 SNPs. We did not attempt to
rescue the failed PCRs at this point, but this could be done if needed
by reselecting primers or through a modification of the standard PCR
conditions. For six of the 163 SNPs, SBE primers were designed for both
the forward and reverse strands. Nine multiplex PCR and SBE reactions
were designed with 9-28 markers in each set. Of the 163 SNP markers tested, 21 SNPs (12.9%) were further eliminated because they
consistently produced poor signals in multiple samples tested. These
failures were systematic, and were the result of poor amplification in the multiplex PCR or SBE reactions, or poor hybridization behavior on
the array. It has been shown previously that roughly one out of 10 tag
sequences do not hybridize sufficiently well on arrays of this type
(Winzeler et al. 1999
). Although these SNPs may be rescued by primer or
protocol changes, repooling, using the opposite strand extension
primer, or simply linking the primer to a different tag sequence (from
which there are many to choose), we have not attempted further
optimization of these 29 (8+21) markers. The remaining 142 markers in
62 genes were used in subsequent genotyping experiments. The 142 SNPs
used, the genes involved and other details of the polymorphisms, and
the designed primers are listed in a table located in the online
supplement (note that the first 20 bases of the SBE primers listed in
the table are complementary to the tag probes on the array). Additional
information on these SNPs can be found indbSNP
(http://www.ncbi.nlm.nih.gov/SNP/) or at
http://genome.cwru.edu/candidates/snps.html3) (Halushka et al. 1999
).
To test the reproducibility of the TAG-SBE assay, we performed the multiplex PCR, SBE reactions, and the array hybridization experiments in duplicate for four independent samples. A high correlation between the hybridization signals of the replicate measurements (R2 = 0.92 for fluorescein signals and R2 = 0.93 for phycoerythrin signals) was observed for the 142 SNPs. More importantly, there were no discrepancies in genotyping calls between the duplicate measurements.
We next used tag arrays to obtain the genotypes for all 142 SNPs in 44 unique DNA samples. Hybridization signals sufficiently above background were obtained for 96.5% (6029/6248) of the 6248 (142×44) possible calls . Based on the two-color signal intensity ratios, distinct genotype clusters were obtained for ~80% of the markers (Fig. 3). We used a combination of automatic software analysis and blind manual editing to assign genotypes for all 142 markers in the 44 samples. For five of the six SNPs that had both forward and reverse SBE primers, identical genotypes were obtained from both strands in all 44 individuals (i.e., complete concordance in 220 paired tests). For one SNP (DCP1EX13.138), clear hybridization results were obtained for the forward primer, but the results were inconclusive for the reverse SBE primer and therefore calls for that strand were not made (i.e., one strand yielded clear results while the other produced a "no call"). In no cases did the two strands give contradictory results. This experiment indicates that either strand (or both) can be used for TAG-SBE analysis of the majority of the markers, and that for some markers, one strand may be more informative than the other. As described above, these assays were not fully optimized and we anticipate that it is possible to increase the overall genotyping yield further.
|
To determine the accuracy of the method, we used gel-based DNA
sequencing to determine the genotypes of three individuals (a subset of
the 44 persons studied earlier) at 133 loci. Comparison of the 355 paired gel-based and TAG-SBE genotype calls showed a total of 17 discrepancies involving seven different markers (see Table
1), a 4.8% discordance rate. Some of these
discrepancies involved cases where one method made a homozygote call
while the other method called a heterozygote. But there were also cases in which the gel-based sequencing and array-based genotyping yielded opposite homozygote genotype calls; we suspect systematic mispriming of
the SBE primer to adjacent similar sequences as the likely cause of the
discrepancy. Designing an SBE assay using primers for the other strand
may be sufficient to solve the problem in most cases.
|
The quantitative nature of the two-color TAG-SBE measurements suggests
the possibility of using pooled DNA samples to estimate allele
frequencies and screen large numbers of loci for allele frequency
differences between groups of phenotypically distinct individuals (Shaw
et al. 1998
for microsatellite markers; Syvanen et al. 1993
; Hacia et
al. 1998
for SNP markers). To test this, we first synthesized two
artificial SBE templates and performed controlled mixing experiments.
As shown in Figure 4, the intensity ratio of the two
fluorophores and the template concentration ratio are highly correlated
over a 100-fold concentration range. We further tested the TAG-SBE
assay performance with pooled DNA samples. Genomic DNA from five, 10, and 20 individuals with known genotypes was pooled and treated the same
way as the DNA samples from individuals in all subsequent PCR
amplification, SBE reaction, and chip hybridization steps. In general,
the observed allele frequencies were related directly to the
values expected based on the known genotypes of the individuals in the
pool (Fig. 5), and relatively small differences in
allele frequency could be reliably detected for many markers. This
strategy may be used to estimate allele frequencies in populations and to scan large numbers of markers for allele-frequency differences while greatly reducing the number of individual measurements required for association studies designed to detect genetic differences between groups of individuals with phenotypic differences. The minimum
detectable allele-frequency differences and the maximum number of
markers that can be genotyped in parallel remain to be determined.
|
|
Our approach combines the parallelism and flexibility of a standardized
high-density oligonucleotide array readout with the enhanced fidelity
of enzymatic primer extension reactions. Using a standard array of
generic tags eliminates the need to design and manufacture custom
arrays for specific sets of markers, as only the PCR and extension
primers need to be customized. Furthermore, the tag-based approach uses
as few as one or two oligonucleotide probes per marker rather than the
56 probes used previously on variant detector arrays (VDAs) (Wang et
al. 1998
). The standard tag array could also be used in combination
with other genotyping approaches including multiplex oligonucleotide
ligation assays (OLA) (Delahunty et al. 1996
; Tobe et al. 1996
; Chen et
al. 1998
), invasive cleavage of oligonucleotide probe assays (Lyamichev
et al. 1999
), and allele-specific PCR methods (Newton et al. 1989
; Lo
et al. 1991
).
The experiments described here used only a small fraction of the 32,000 tags synthesized on the array and have not taken full advantage of the
multiplexing possibilities. Our previous experience with developing
highly discriminating sets of oligonucelotide probes for yeast gene
expression measurements and genotyping, suggests that it should be
possible to use a large fraction of the 32,000 tags on the array in a
single experiment (Wodicka et al. 1997
; Winzeler et al. 1998
). A set of
three such arrays would allow the determination of nearly 100,000 genotypes. The current array was synthesized using 30 µm features
on an 8×8 mm chip. A single, 12.8×12.8 mm array with 24 µm
features could interrogate 128,000 SNPs at a time. Physically smaller
arrays with fewer tags may also be useful. Scaling down the array size
to 2×2 mm, an array containing 24 µm features could encode over
3000 tags and accommodate many important genotyping applications in
which more markers may not be necessary. In addition, multiple sets of
tags can be associated with each locus-specific extension primer in separate reactions (pooled for hybridization). In this manner, a single array
could be used to analyze the same loci from multiple individuals at once.
The highly parallel nature of oligonucleotide arrays and their ability to interrogate complex mixtures of nucleic acids enables significant flexibility in the design of genotyping assays. Simple calculations suggest that the cost of amplification and labeling reactions can be a significant barrier to the broad use of large-scale genotyping methods. The multiplex sample preparations demonstrated here permit significant reductions in reagent use. Thus, multiplexing both specific genomic amplifications and SBE reactions reduced the 284 reactions needed for the 142 SNPs to only 18 reactions. This 16-fold reduction can be extended by pooling strategies. The current scheme uses two colors and requires six separate SBE reactions. The use of four colors would allow a single-tube reaction, with associated increases in efficiency and reduction of genotyping costs.
| |
METHODS |
|---|
|
|
|---|
Sample Collection and DNA Isolation
DNA samples from 44 individuals were collected as part of the ongoing GenNet network of the National Heart, Lung, and Blood Institute Family Blood Pressure Program. The sampling scheme was designed to ascertain nuclear families through a hypertensive proband. Samples were collected under informed consent and IRB approval at each of two field centers in Tecumseh, MI and Maywood, IL. DNA was extracted from buffy coats isolated from 5 to 10 ml of whole blood using a standard salting-out method and the PureGene kit (Gentra Systems). For the pooling experiments, genomic DNA from five, 10, and 20 individuals was pooled in equal amounts, and treated like single DNA samples in subsequent PCR amplifications, SBE reactions, and chip hybridizations.
Primer Design
For each SNP, primary PCR amplification primers were designed as
described previously (Wang et al. 1998
). The SBE primers were designed
so that the 3' end terminates one base before the polymorphic site.
The Primer 3.0 software
(http://www.genome.wi.mit.edu/cgi-bin/primer/primer3.cgi) was modified
and used to pick SBE primers at a predicted length of 20 nucleotides
(range: 16-26) and melting temperature of 57°C (range:
53°C-64°C). SBE primers were picked from the forward direction first (i.e., 5' to the SNP), the reverse direction being used when a
suitable primer could not be chosen for the forward direction.
Multiplex PCR
Specific amplification of the genomic regions containing the 142 SNPs was achieved with nine multiplex PCR reactions, each containing 50 ng of human genomic DNA, 0.5 µM of each primer, 1 mM deoxynucleotide triphosphates (dNTPs), 10 mM Tris-HCl (pH 8.3), 50 mM KCl, 5 mM MgCl2 and 2 units of AmpliTaq Gold (Perkin Elmer) in a total volume of 25 µl. PCR was performed on a Thermo Cycler (MJ Research) with initial denaturation of the DNA templates and Taq enzyme activation at 96°C for 10 min, followed by 40 cycles of denaturation at 94°C for 30 sec, 57°C for 40 sec, and 72°C for 90 sec. The final extension reaction was at 72°C for 10 min.
SBE Template Preparation
One µl of Exonuclease I (10 U/µl, Amersham Life Science) and 1 µl of Shrimp Alkaline Phosphatase (1 U/µl, Amersham Life Science) were added to 25 µl PCR products and incubated at 37°C for 1 hr. The enzymes were inactivated at 100°C for 15 min. The enzymatically treated samples were applied to an S-300 column (Pharmacia) to further remove residual PCR primers and dNTPs. The buffer was replaced with ddH2O.
Multiplex SBE Reaction
SBE reactions were carried out in 33 µl reactions using 6 µl of the template (see above), 1.5 nM of each SBE primer, 2.5 Units of Thermo Sequenase (Amersham), 52 mM Tris-HCl (pH 9.5), 6.5 mM MgCl2, 25 µM of fluorescein-N6-d-dNTPs (New England
Nuclear), 7.5 µM biotin-N6-d-dUTP or biotin-N6-d-CTP or 3.75 µM
biotin-N6-d-dATP, and 10 µM of the other cold ddNTPs. Extension
reactions were carried out on a Thermo Cycler (MJ Research) with 1 cycle at 96°C for 3 min, then 45 cycles of 94°C for 20 sec and
58°C for 11 sec. After SBE reactions, the products of the nine
reactions from each sample were combined and mixed with 30 µl of
100 µg/ml glycogen (Boehringer Mannheim), 18.75 µl of 8 M LiCl
(Sigma), and 1.1 ml of prechilled (
20°C) ethanol (200 proof),
and precipitated by centrifugation (Eppendorf centrifuge 5415C) for 15 min at room temperature; precipitated samples were dried at 40°C for
40 min and resuspended in 33 µl ddH2O.
Tag Array Design and Hybridization
For each tag sequence, two probes were synthesized on the array:
one matches the designed-tag sequence exactly (PM probe) and the other
being identical except for a single base difference in the central
position (MM probe). The mismatch probe serves as an internal control
for hybridization specificity and enables effective subtraction of
background and cross-hybridization signals. Over 32,000 20-mer tag
probes and their mismatch partners were chosen (Shoemaker et al. 1996
)
and fabricated on 8×8 mm arrays. Each probe (feature) occupies an area
of 30×30 µm, which contains ~107 copies of the chosen
20-mer oligonucleotide. Sets of 100 arrays were synthesized together on
a single glass wafer.
The labeled SBE reaction products were denatured at 95°C-100°C for 10 min and snap cooled on ice for 2-5 min. The tag array was prehybridized with 6× SSPE-T [0.9 M NaCl, 60 mM NaH2PO4, 6 mM EDTA (pH 7.4), 0.005% Triton X-100] and 0.5 mg/ml BSA for a few minutes, then hybridized with 120 µl hybridization solution (shown below) at 42°C for 2 hr on a rotisserie (at 40 RPM). The hybridization solution consisted of 3M TMACl (tetramethylammonium chloride), 50 mM MES [2-(N-morpholinoethanesulfonic acid) sodium salt] (pH 6.7), 0.01% of Triton X-100, 0.1 mg/ml of herring sperm DNA, 50 pM of fluorescein-labeled control oligo, 0.5 mg/ml of BSA (Sigma) and 29.4 µl-labeled SBE products (see above) in a total value of 120 µl.
After hybridization, the arrays were rinsed twice with 1× SSPE-T for ~10 sec at room temperature, then washed with 1× SSPE-T for 15-20 minutes at 40°C on a rotisserie at 40 RPM. The arrays were washed 10 times with 6× SSPE-T at 22°C on a fluidics station (FS400, Affymetrix) and then stained at room temperature with 120 µl staining solution [2.2 µg/ml streptavidin R-phycoerythrin (Molecular Probes), and 0.5 mg/ml acetylated BSA, in 6× SSPET] and mixed on a rotisserie for 15 min at 40 RPM. After staining, the arrays were washed 10 times with 6× SSPET on the fluidics station at 22°C. The arrays were scanned on a confocal scanner (Affymetrix) and fluorescence at 530 nm (fluorescein), and 560 nm (phycoerythrin) was collected with a spatial resolution of 60-70 pixels per feature. GeneChip software (Affymetrix) was used to convert image files into digitized files for further data analysis.
Genotype Determination
For a given marker (at a given tag probe position), the
fluorescence intensity of each of the two fluorophores (fluorescein and
phycoerythrin) was corrected for background and nonspecific hybridization by subtracting the intensity at the MM from that of the
PM; negative values of PM-MM were treated as zero. Because of the
overlap between the emission spectra of the two fluorophores, a
fraction of the fluorescein signal (7.6%) was subtracted from the
signal seen in the phycoerythrin channel (Hacia et al. 1998
). A metric
P which estimates the relative amount of each allele in the
target mixture was computed as the relative proportion of the corrected
intensities [fluorescein/(fluorescein+phycoerythrin)]. To define
genotype clusters for each SNP (see Figure 3), the P values
associated with each sample were sorted, and ranges corresponding to
the three SNP genotypes were computed using an algorithm based on
empirical observations across many genotyping experiments. The purpose
of this algorithm is to identify well-separated ranges of experimental
values that correspond to distinct genotypes. The specific algorithm
employed here used the following rules: (1) At most four values
(outliers), about 10% of the total data may be excluded from the
computed ranges; (2) each pair of ranges must extend over an area of
0.3 and all three ranges must extend over
0.5; (3) individual
ranges must be separated by a gap of
0.1; (4) the width of a single
range may be
0.4. A "goodness" of fit statistic computed as
1
(sum of range widths/total range)
(number of outliers /10) was
maximized for the set of ranges chosen.
Quantitative Allele Analysis
Two templates, template-T (5'-TGCTGAATATTCAGATTCTCTAGTGCTACCTGAAAGATCCTG-3') and template-G (5'-TGCTGAATATTCAGATTCTCGAGTGCTACCTGAAAGATCCTG-3') were synthesized. They were identical except at a single (21st) position: T in template-T, and G in template-G. The two templates were mixed in the ratios of 1 nM/10 nM, 1 nM/3 nM, 1 nM/1 nM, 3 nM/1 nM, and 10 nM/1 nM, respectively. The following five distinct SBE primers, 5'-TGCGATTCTTTGCCGTCAGGCAGGATCTTTCAGGTAGCACT-3', 5'-GGCGAAGTTCCTCTAGTGTTCAGGATCTTTCAGGTAGCACT-3', 5'-GGCCTCGGTGTTCAGCATATCAGGATCTTTCAGGTAGCACT-3', 5'-TGGAGATCGTTGCTTGTACCCAGGATCTTTCAGGTAGCACT-3', 5'-TGCATTGATTTAACTGCGCGCAGGATCTTTCAGGTAGCACT-3', were added separately to five SBE reactions containing the five types of mixed templates. The SBE primers were extended in the presence of biotin-labeled ddATP and fluorescein-labeled ddCTP, pooled, and hybridized to a tag array.
Gel-based Automated DNA Sequencing
To independently confirm the genotypes called using the TAG-SBE assay, three samples (904957, 904896, and 904889) were sequenced for 115 SNPs from the table in the online supplement, using conventional gel-based methods. Samples were amplified for all sites with T7- and T3-tagged primers using standard PCR cycling conditions [2.5 µl of 20 ng/µl DNA, 0.375 µl of 20 µM primer (X2), 1.5 µl of 10× PCR buffer, 0.9 µl 25mM MgCl2, 0.15 µl 10 mM dNTPs, 0.25 µl 10 U/µl Taq DNA Polymerase (Sigma), in a total volume of 15 µl with ddH20]. Some products were sequenced directly while others required an M13 nesting strategy because of the close proximity of the polymorphic base and primer end. Samples from the initial amplification were diluted 1:50 with ddH20 and amplified with M13F-T7 (5'-TGTAAAACGACGGCCAGTTAATACGACTCACTATAGGGAGA-3') and M13R-T3 (5'-AACAGCTATGACCATGAATTAACCCTCACTAAAGGGAGA-3') primers using standard PCR conditions. All PCR products were cleaned with Exonuclease I (Amersham 0.15 µl of 10 U/µl per well) and Shrimp Alkaline Phosphatase (Amersham, 0.30 µl of 1 U/µl per well) in a volume of 10 µl. Dye terminator sequencing using an M13R primer (AACAGCTATGACCATG) or T7 primer (TAATACGACTCACTATAGGGAGA) on an ABI377 (Perkin Elmer) using Big Dye (Perkin Elmer) was performed to determine the genotype status for each SNP in each of the three individuals. Trace files were read with Edit View 1.0 (Perkin Elmer) software.
| |
ACKNOWLEDGMENTS |
|---|
We thank Drs. A. Weder and R. Cooper for DNA sample collection, M. Mittmann and D. Shoemaker for tag selection and array design, D. Stern for construction of array scanners used in this study, K. Bentley for DNA sequencing, and K. Gunderson for helpful discussions. This work was supported by a grant from the Advanced Technology Program of the National Institutes of Standards and Technology (70NANB5H1031) to Affymetrix, and research funds from Case Western Reserve University, University Hospitals of Cleveland, the National Heart, Lung, and Blood Institute (HL54466), and the National Institute of Mental Health (MH60007) to A.C. This research is a contribution of GenNet, a network of the National Heart, Lung, and Blood Institute's Family Blood Pressure Program.
The publication costs of this article were defrayed in part by payment of page charges. This article must therefore be hereby marked "advertisement" in accordance with 18 USC section 1734 solely to indicate this fact.
| |
FOOTNOTES |
|---|
Present addresses: 3Illumina, Inc., San Diego, California 92121 USA; 4Kiva Genetics, Inc., Mountain View, California 94043 USA; 5Genomics Institute of the Novartis Research Foundation (GNF), San Diego, California 92121 USA.
6 Corresponding author.
E-MAIL rob_lipshutz{at}affymetrix.com; FAX (408) 481-0422.
| |
REFERENCES |
|---|
|
|
|---|
Received January 5, 2000; accepted in revised form March 29, 2000.
This article has been cited by other articles:
![]() |
G. Hu, H.-Y. Wang, D. M. Greenawalt, M. A. Azaro, M. Luo, I. V. Tereshchenko, X. Cui, Q. Yang, R. Gao, L. Shen, et al. AccuTyping: new algorithms for automated analysis of data from high-throughput genotyping with oligonucleotide microarrays Nucleic Acids Res., October 18, 2006; 34(17): e116 - e116. [Abstract] [Full Text] [PDF] |
||||
![]() |
C. S. Carlson, J. D. Smith, I. B. Stanaway, M. J. Rieder, and D. A. Nickerson Direct detection of null alleles in SNP genotyping data Hum. Mol. Genet., June 15, 2006; 15(12): 1931 - 1937. [Abstract] [Full Text] [PDF] |
||||
![]() |
D. Tulpan, M. Andronescu, S. B. Chang, M. R. Shortreed, A. Condon, H. H. Hoos, and L. M. Smith Thermodynamically based DNA strand design Nucleic Acids Res., September 6, 2005; 33(15): 4951 - 4964. [Abstract] [Full Text] [PDF] |
||||
![]() |
J. M. Maris, G. Hii, C. A. Gelfand, S. Varde, P. S. White, E. Rappaport, S. Surrey, and P. Fortina Region-specific detection of neuroblastoma loss of heterozygosity at multiple loci simultaneously using a SNP-based tag-array platform Genome Res., August 1, 2005; 15(8): 1168 - 1176. [Abstract] [Full Text] [PDF] |
||||
![]() |
X. Di, H. Matsuzaki, T. A. Webster, E. Hubbell, G. Liu, S. Dong, D. Bartell, J. Huang, R. Chiles, G. Yang, et al. Dynamic model based algorithms for screening and genotyping over 100K SNPs on oligonucleotide microarrays Bioinformatics, May 1, 2005; 21(9): 1958 - 1963. [Abstract] [Full Text] [PDF] |
||||
![]() |
J. Y. Song, H. G. Park, S.-O. Jung, and J. Park Diagnosis of HNF-1{alpha} mutations on a PNA zip-code microarray by single base extension Nucleic Acids Res., February 1, 2005; 33(2): e19 - e19. [Abstract] [Full Text] [PDF] |
||||
![]() |
A. Forche, G. May, and P. T. Magee Demonstration of Loss of Heterozygosity by Single-Nucleotide Polymorphism Microarray Analysis and Alterations in Strain Morphology in Candida albicans Strains during Infection Eukaryot. Cell, January 1, 2005; 4(1): 156 - 165. [Abstract] [Full Text] [PDF] |
||||
![]() |
M. H. Shapero, J. Zhang, A. Loraine, W. Liu, X. Di, G. Liu, and K. W. Jones MARA: a novel approach for highly multiplexed locus-specific SNP genotyping using high-density DNA oligonucleotide arrays Nucleic Acids Res., December 15, 2004; 32(22): e181 - e181. [Abstract] [Full Text] [PDF] |
||||
![]() |
J. Vaarno, E. Ylikoski, N. J. Meltola, J. T. Soini, P. Hanninen, R. Lahesmaa, and A. E. Soini New separation-free assay technique for SNPs using two-photon excitation fluorometry Nucleic Acids Res., July 19, 2004; 32(13): e108 - e108. [Abstract] [Full Text] [PDF] |
||||
![]() |
A. Forche, P. T. Magee, B. B. Magee, and G. May Genome-Wide Single-Nucleotide Polymorphism Map for Candida albicans Eukaryot. Cell, June 1, 2004; 3(3): 705 - 714. [Abstract] [Full Text] [PDF] |
||||
![]() |
M. P. Johnson, L. M. Haupt, and L. R. Griffiths Locked nucleic acid (LNA) single nucleotide polymorphism (SNP) genotype analysis and validation using real-time PCR Nucleic Acids Res., March 26, 2004; 32(6): e55 - e55. [Abstract] [Full Text] [PDF] |
||||
![]() |
H. Matsuzaki, H. Loi, S. Dong, Y.-Y. Tsai, J. Fang, J. Law, X. Di, W.-M. Liu, G. Yang, G. Liu, et al. Parallel Genotyping of Over 10,000 SNPs Using a One-Primer Assay on a High-Density Oligonucleotide Array Genome Res., March 1, 2004; 14(3): 414 - 425. [Abstract] [Full Text] [PDF] |
||||
![]() |
J. H. Watterson, S. Raha, C. C. Kotoris, C. C. Wust, F. Gharabaghi, S. C. Jantzi, N. K. Haynes, N. H. Gendron, U. J. Krull, A. E. Mackenzie, et al. Rapid detection of single nucleotide polymorphisms associated with spinal muscular atrophy by use of a reusable fibre-optic biosensor Nucleic Acids Res., January 23, 2004; 32(2): e18 - e18. [Abstract] [Full Text] [PDF] |
||||
![]() |
R.C. Boucher New concepts of the pathogenesis of cystic fibrosis lung disease Eur. Respir. J., January 1, 2004; 23(1): 146 - 158. [Abstract] [Full Text] [PDF] |
||||
![]() |
H. Xu, M. Y. Sha, E. Y. Wong, J. Uphoff, Y. Xu, J. A. Treadway, A. Truong, E. O'Brien, S. Asquith, M. Stubbins, et al. Multiplexed SNP genotyping using the QbeadTM system: a quantum dot-encoded microsphere-based assay Nucleic Acids Res., April 15, 2003; 31(8): e43 - e43. [Abstract] [Full Text] [PDF] |
||||
![]() |
T. Kajiyama, Y. Miyahara, L. J. Kricka, P. Wilding, D. J. Graves, S. Surrey, and P. Fortina Genotyping on a Thermal Gradient DNA Chip Genome Res., March 1, 2003; 13(3): 467 - 475. [Abstract] [Full Text] [PDF] |
||||
![]() |
Y. Kohara, H. Noda, K. Okano, and H. Kambara DNA probes on beads arrayed in a capillary, 'Bead-array', exhibited high hybridization performance Nucleic Acids Res., August 15, 2002; 30(16): e87 - e87. [Abstract] [Full Text] [PDF] |
||||
![]() |
D. O'Meara, A. Ahmadian, J. Odeberg, and J. Lundeberg SNP typing by apyrase-mediated allele-specific primer extension on DNA microarrays Nucleic Acids Res., August 1, 2002; 30(15): e75 - e75. [Abstract] [Full Text] [PDF] |
||||
![]() |
K. Lindroos, S. Sigurdsson, K. Johansson, L. Ronnblom, and A.-C. Syvanen Multiplex SNP genotyping in pooled DNA samples by a four-colour microarray system Nucleic Acids Res., July 15, 2002; 30(14): e70 - e70. [Abstract] [Full Text] [PDF] |
||||