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PubMed2006

[Approaches for SNP genotyping].

With the completion of the Human Genome Project (HGP), typing single nucleotide polymorphisms (SNP) has become one of the main tasks in the post-genome era. Consequently, a robust, flexible and cost-effective technique for SNP typing is essential to analyze a large number of SNPs. The latest genotyping technologies and the relative detection platforms were introduced systematically. The principle of SNP typing was described in detail in respect of allele-specific hybridization, restriction enzyme digestion, primer extension and oligonucleotide ligation assay, as well as the genotyping platforms of plate readers, genechips, bead array and mass spectrometry. Moreover, the way to the high-throughput genotyping in the future was briefly discussed.

Genotype↗
PubMed2003

An encoded particle array tool for multiplex bioassays.

The detection of both gene function at the genomic scale and protein assays at a proteomic scale is developing into an essential tool in the discovery and development of new medicines. A wide variety of techniques have been used that allow the analyst to assess the information gathered from a SNP up to a fully developed immunoassay. Despite these advances, there remains an ongoing drive to keep the cost of research and development down to reduce the cost of bringing a new drug or diagnostic to market. The demand to carry out large-scale bioassay analysis using yet smaller reagent volume and at a very low cost per test is gaining much importance as seen in the growing need to perform multiplex bioassays. In this article, we describe an analytical system that is being developed to address such a need for multiplexing bioassays at a low, affordable cost providing a flexible alternative consumable to the current technologies. This novel system utilizes inexpensive fabricated polymeric material produced by standard MEMS technology, which allows the attachment, through a variety of coupling chemistries, of oligonucleotides, proteins, antibodies, and antigens. These can then be analyzed by simple scanning, with either a flow cytometer or a simple optical reader, providing a robust, sensitive microarray assay system.

Oligonucleotide Array Sequence Analysis↗
PubMed2004

Segmental phylogenetic relationships of inbred mouse strains revealed by fine-scale analysis of sequence variation across 4.6 mb of mouse genome.

High-density SNP screening of panels of inbred mouse strains has been proposed as a method to accelerate the identification of genes associated with complex biomedical phenotypes. To evaluate the potential of these studies, a more detailed understanding of the fine structure of sequence variation across inbred mouse strains is needed. Here, we use high-density oligonucleotide arrays to discover an extremely dense set of SNPs in 13 classical and two wild-derived inbred strains in five genomic intervals totaling 4.6 Mb of DNA sequence, and then analyze the segmental haplotype structure defined by these high-density SNPs. This analysis reveals segments ranging from 12 to 608 kb in length within which the inbred strains have a simple and distinct phylogenetic relationship with typically two or three clades accounting for the 13 classical strains examined. The phylogenetic relationships among strains change abruptly and unpredictably from segment to segment, and are distinct in each of the five genomic regions examined. The data suggest that at least 12 strains would need to be resequenced for exhaustive SNP discovery in every region of the mouse genome, that approximately 97% of the variation among inbred strains is ancestral (between clades) and approximately 3% private (within clades), and provides critical insights into the proposed use of panels of inbred strains to identify genes underlying quantitative trait loci.

Animals↗
PubMed2002

Sources of variability and effect of experimental approach on expression profiling data interpretation.

BACKGROUND: We provide a systematic study of the sources of variability in expression profiling data using 56 RNAs isolated from human muscle biopsies (34 Affymetrix MuscleChip arrays), and 36 murine cell culture and tissue RNAs (42 Affymetrix U74Av2 arrays). RESULTS: We studied muscle biopsies from 28 human subjects as well as murine myogenic cell cultures, muscle, and spleens. Human MuscleChip arrays (4,601 probe sets) and murine U74Av2 Affymetrix microarrays were used for expression profiling. RNAs were profiled both singly, and as mixed groups. Variables studied included tissue heterogeneity, cRNA probe production, patient diagnosis, and GeneChip hybridizations. We found that the greatest source of variability was often different regions of the same patient muscle biopsy, reflecting variation in cell type content even in a relatively homogeneous tissue such as muscle. Inter-patient variation was also very high (SNP noise). Experimental variation (RNA, cDNA, cRNA, or GeneChip) was minor. Pre-profile mixing of patient cRNA samples effectively normalized both intra- and inter-patient sources of variation, while retaining a high degree of specificity of the individual profiles (86% of statistically significant differences detected by absolute analysis; and 85% by a 4-pairwise comparison survival method). CONCLUSIONS: Using unsupervised cluster analysis and correlation coefficients of 92 RNA samples on 76 oligonucleotide microarrays, we found that experimental error was not a significant source of unwanted variability in expression profiling experiments. Major sources of variability were from use of small tissue biopsies, particularly in humans where there is substantial inter-patient variability (SNP noise).

Animals↗
PubMed2005

Dynamic model based algorithms for screening and genotyping over 100 K SNPs on oligonucleotide microarrays.

MOTIVATION: A high density of single nucleotide polymorphism (SNP) coverage on the genome is desirable and often an essential requirement for population genetics studies. Region-specific or chromosome-specific linkage studies also benefit from the availability of as many high quality SNPs as possible. The availability of millions of SNPs from both Perlegen and the public domain and the development of an efficient microarray-based assay for genotyping SNPs has brought up some interesting analytical challenges. Effective methods for the selection of optimal subsets of SNPs spanning the genome and methods for accurately calling genotypes from probe hybridization patterns have enabled the development of a new microarray-based system for robustly genotyping over 100,000 SNPs per sample. RESULTS: We introduce a new dynamic model-based algorithm (DM) for screening over 3 million SNPs and genotyping over 100,000 SNPs. The model is based on four possible underlying states: Null, A, AB and B for each probe quartet. We calculate a probe-level log likelihood for each model and then select between the four competing models with an SNP-level statistical aggregation across multiple probe quartets to provide a high-quality genotype call along with a quality measure of the call. We assess performance with HapMap reference genotypes, informative Mendelian inheritance relationship in families, and consistency between DM and another genotype classification method. At a call rate of 95.91% the concordance with reference genotypes from the HapMap Project is 99.81% based on over 1.5 million genotypes, the Mendelian error rate is 0.018% based on 10 trios, and the consistency between DM and MPAM is 99.90% at a comparable rate of 97.18%. We also develop methods for SNP selection and optimal probe selection. AVAILABILITY: The DM algorithm is available in Affymetrix's Genotyping Tools software package and in Affymetrix's GDAS software package. See http://www.affymetrix.com for further information. 10 K and 100 K mapping array data are available on the Affymetrix website.

Algorithms↗
PubMed2004

Estimation of relative allele frequencies of single-nucleotide polymorphisms in different populations by microarray hybridization of pooled DNA.

Single-nucleotide polymorphisms (SNPs) are considered useful polymorphic markers for genetic studies of polygenic traits. A new practical approach to high-throughput genotyping of SNPs in a large number of individuals is needed in association study and other studies on relationships between genes and diseases. We have developed an accurate and high-throughput method for determining the allele frequencies by pooling the DNA samples and applying a DNA microarray hybridization analysis. In this method, the combination of the microarray, DNA pooling, probe pair hybridization, and fluorescent ratio analysis solves the dual problems of parallel multiple sample analysis, and parallel multiplex SNP genotyping for association study. Multiple DNA samples are immobilized on a slide and a single hybridization is performed with a pool of allele-specific oligonucleotide probes. The results of this study show that hybridization of microarray from pooled DNA samples can accurately obtain estimates of absolute allele frequencies in a sample pool. This method can also be used to identify differences in allele frequencies in distinct populations. It is amenable to automation and is suitable for immediate utilization for high-throughput genotyping of SNP.

Gene Frequency↗
PubMed2006

Localization of breast cancer susceptibility loci by genome-wide SNP linkage disequilibrium mapping.

We studied the feasibility of a novel approach to localize breast cancer susceptibility genes, using a low-density genome-wide panel of single-nucleotide polymorphisms and taking advantage of large regions of linkage disequilibrium (LD) flanking Jewish disease genes in high-risk cases. With Affymetrix GeneChip arrays, we genotyped 8,576 polymorphisms in three sets of Ashkenazi Jewish breast cancer cases: a "validation" set of 27 breast cancer cases, all of whom carried the BRCA2*6174delT founder mutation; a "field" set of 19 breast cancer cases from male breast cancer kindreds, which simulated conditions for finding new genes; and a "test" set of 57 probands from breast cancer kindreds (4 or more cases/kindred), in which mutations in BRCA1 and BRCA2 had been excluded. To identify associations, we compared the frequency of genotypes and haplotypes in cases vs. controls by the Fisher's exact test and a maximum likelihood ratio test. In the "validation" set, we demonstrated the presence of a region of linkage disequilibrium on BRCA2*6174delT chromosomes that spanned over 5 million bases. In the "field" set, we showed that this large region of linkage disequilibrium flanking BRCA2 was detectable despite the presence of heterogeneity in the sample set. Finally, in the "test" set, at least three regions of interest emerged that could contain novel breast cancer genes, one of which had been identified previously by linkage analysis. While these results demonstrate the feasibility of genome-wide association strategies, further application of this approach will critically depend on optimizing the density and distribution of SNPs and the size and type of study design.

Adult↗
PubMed2000

Genome-wide detection of allelic imbalance using human SNPs and high-density DNA arrays.

Most human cancers are characterized by genomic instability, the accumulation of multiple genetic alterations and allelic imbalance throughout the genome. Loss of heterozygosity (LOH) is a common form of allelic imbalance and the detection of LOH has been used to identify genomic regions that harbor tumor suppressor genes and to characterize tumor stages and progression. Here we describe the use of high-density oligonucleotide arrays for genome-wide scans for LOH and allelic imbalance in human tumors. The arrays contain redundant sets of probes for 600 genetic loci that are distributed across all human chromosomes. The arrays were used to detect allelic imbalance in two types of human tumors, and a subset of the results was confirmed using conventional gel-based methods. We also tested the ability to study heterogeneous cell populations and found that allelic imbalance can be detected in the presence of a substantial background of normal cells. The detection of LOH and other chromosomal changes using large numbers of single nucleotide polymorphism (SNP) markers should enable identification of patterns of allelic imbalance with potential prognostic and diagnostic utility.

Adenocarcinoma↗
PubMed2005

Applications of Luminex xMAP technology for rapid, high-throughput multiplexed nucleic acid detection.

BACKGROUND: As we enter the post-genome sequencing era and begin to sift through the enormous amount of genetic information now available, the need for technologies that allow rapid, cost-effective, high-throughput detection of specific nucleic acid sequences becomes apparent. Multiplexing technologies, which allow for simultaneous detection of multiple nucleic acid sequences in a single reaction, can greatly reduce the time, cost and labor associated with single reaction detection technologies. METHODS: The Luminex xMAP system is a multiplexed microsphere-based suspension array platform capable of analyzing and reporting up to 100 different reactions in a single reaction vessel. This technology provides a new platform for high-throughput nucleic acid detection and is being utilized with increasing frequency. Here we review specific applications of xMAP technology for nucleic acid detection in the areas of single nucleotide polymorphism (SNP) genotyping, genetic disease screening, gene expression profiling, HLA DNA typing and microbial detection. CONCLUSIONS: These studies demonstrate the speed, efficiency and utility of xMAP technology for simultaneous, rapid, sensitive and specific nucleic acid detection, and its capability to meet the current and future requirements of the molecular laboratory for high-throughput nucleic acid detection.

Animals↗
PubMed2004

Contribution of Asian mouse subspecies Mus musculus molossinus to genomic constitution of strain C57BL/6J, as defined by BAC-end sequence-SNP analysis.

MSM/Ms is an inbred strain derived from the Japanese wild mouse, Mus musculus molossinus. It is believed that subspecies molossinus has contributed substantially to the genome constitution of common laboratory strains of mice, although the majority of their genome is derived from the west European M. m. domesticus. Information on the molossinus genome is thus essential not only for genetic studies involving molossinus but also for characterization of common laboratory strains. Here, we report the construction of an arrayed bacterial artificial chromosome (BAC) library from male MSM/Ms genomic DNA, covering approximately 1x genome equivalent. Both ends of 176,256 BAC clone inserts were sequenced, and 62,988 BAC-end sequence (BES) pairs were mapped onto the C57BL/6J genome (NCBI mouse Build 30), covering 2,228,164 kbp or 89% of the total genome. Taking advantage of the BES map data, we established a computer-based clone screening system. Comparison of the MSM/Ms and C57BL/6J sequences revealed 489,200 candidate single nucleotide polymorphisms (SNPs) in 51,137,941 bp sequenced. The overall nucleotide substitution rate was as high as 0.0096. The distribution of SNPs along the C57BL/6J genome was not uniform: The majority of the genome showed a high SNP rate, and only 5.2% of the genome showed an extremely low SNP rate (percentage identity = 0.9997); these sequences are likely derived from the molossinus genome.

Animals↗
PubMed2006

Sequence variant in the laminin gamma1 (LAMC1) gene associated with familial pelvic organ prolapse.

Pelvic organ prolapse is a common condition, affecting up to a third of women throughout their lifetime. Genetic factors are believed to account for about 30% of the incidence, and are the least understood component of the disorder. Familial cases, particularly those in which prolapse manifests in young women, are especially valuable in the effort to find the genes involved. We recently reported autosomal dominant transmission as the most likely mode of inheritance, based on a collection of families with high incidence of prolapse. Of greatest interest was a family in which three generations of female relatives suffered from prolapse at a very young age. A genome-wide linkage scan performed using the Affymetrix GeneChip Human mapping 10K array identified ten regions with a LOD score of 1.5, the maximum possible for this family. Candidate genes within those regions were analyzed for expression in vaginal tissue by RT-PCR. Of the genes confirmed to be expressed, LAMC1 was further evaluated by sequencing and select single nucleotide polymorphism (SNP) genotyping for causative sequence variants in affected family members. We identified one such SNP, rs10911193. The rare T variant segregating with the condition is present at a frequency of 4.9% in the general population and 22% among probands from our cohort of families. It affects the binding site for NFIL3, a transcription factor that we verified to be co-expressed in vaginal tissue. Altogether these data suggest that a polymorphism in the promoter of LAMC1 may increase the susceptibility to early-onset pelvic organ prolapse.

Base Sequence↗
PubMed2005

Expression genetics and haplotype analysis reveal cis regulation of serine carboxypeptidase I (Cxp1), a candidate gene for malting quality in barley (Hordeum vulgare L.).

Using a cDNA array-based functional genomics approach in barley, several candidate genes for malting quality including serine carboxypeptidase I (Cxp1) were previously identified (Potokina et al. in Mol Breed 14:153, 2004). The gene was mapped as a single nucleotide polymorphism (SNP) marker on chromosome 3H using the Steptoe (feeding grade)xMorex (malting grade) mapping population. Subsequently, the relative level of Cxp1 expression was determined by real-time RT-PCR for each of the 134 progeny lines and mapped as a quantitative trait. Only one quantitative trait locus (QTL) could be identified that significantly influenced the level of the Cxp1 expression. The expressed QTL maps to the same region on chromosome 3H as does the structural gene and corresponds to a QTL for "diastatic power," one among several traits measured to assess malting quality. An analysis of 90 barley cultivars sampled from a worldwide collection revealed six SNPs at the Cxp1 locus, three of which display complete linkage disequilibrium and define two haplotypes. The Cxp1 expression level in a set of barley accessions showing haplotype I was significantly higher than that of accessions displaying haplotype II. The data provide evidence that (1) the expression of Cxp1 is regulated in cis and that (2) the level of diastatic power in the barley seed is influenced by the level of Cxp1 expression.

Cathepsin A↗
PubMed2000

Use of single nucleotide polymorphisms for gene discovery in hypertension.

Genetic susceptibility to common diseases is likely influenced by common DNA variants with small-to-moderate effects, rather than by rare mutations with large effects. The majority of such common variation occurs in the form of single nucleotide polymorphisms (SNPs). DNA sequence variation, including SNPs, is created and maintained by the action of evolutionary forces such as mutation, recombination, and selection. Over time and space, these forces have shaped the relationships between the contemporary organization of the human genome and disease susceptibility in the population at large. Single nucleotide polymorphisms have emerged as valuable new tools to uncover these relationships. In particular, their use in both genome-wide and gene-based association studies holds great promise for the identification of genes and gene variations involved in predisposition to essential hypertension. New advances in biotechnology are making possible large-scale discovery of SNP variation and rapid application of this information to disease gene discovery.

Base Sequence↗
PubMed2006

Characterization of in vitro biofilm-associated pneumococcal phase variants of a clinically relevant serotype 3 clone.

An increasing proportion of children with acute otitis media due to Streptococcus pneumoniae have serotype 3 infections since licensure of the seven-valent pneumococcal conjugate vaccine. These serotype 3 strains are genetically related by molecular subtyping. During otitis media with effusion and recurrent otitis media, biofilms commonly develop. Pneumococcal in vitro biofilms are comprised of phase variants that differ in colony morphology. By using a representative strain of the mucoid serotype 3 clone, rough phase variants with a diverse array of mutations were detected in biofilms formed in vitro. Most phase variants had mutations in the cps3D gene, the first gene of the capsular operon. Eleven had single nucleotide polymorphisms (SNPs) in the cps3D gene, one had an SNP in the -10 promoter, and three had large deletions in the cps3D gene. Reversion to the mucoid phenotype was associated with reversion of the mutation in the cps3D gene. Unlike the phase variants detected in the nasopharynx, which have at least 20% of the parental amount of capsule, the in vitro biofilm-associated phase variants had < or =12% of the parental amount of capsule, as determined by capsule enzyme-linked immunosorbent assays. Using real-time reverse transcription-PCR, we determined that capsule expression in the phase variants was likely regulated at multiple levels. These in vitro phase variation data, which underscore the plasticity of the pneumococcus, need to be confirmed with in vivo analyses of the middle ear mucosa during otitis media.

Bacterial Capsules↗
PubMed2005

Single-nucleotide polymorphism genotyping in DNA pools.

To undertake partial, or complete, genome screens by association-based methodology for quantitative trait loci, multiple individuals have to be screened for large numbers of genetic markers. Consequently, much recent interest has focused on methods enabling accurate allele quantification in pooled deoxyribonucleic acid (DNA) samples. Microsatellites were the favored markers in initial studies, but the extraordinary wealth of data concerning single-nucleotide polymorphisms (SNPs) has turned attention to the quantification of SNP alleles in pools. All such approaches require accurate estimation of DNA concentrations, followed by the preparation of replicate pools, their validation, and application of procedures for determining allele frequencies. This chapter describes the important steps in preparing pools and surveys a variety of techniques that have been proposed for SNP detection. Finally, we describe the application of a generic approach using pooled DNA for detection of allele frequency differences between case and control populations based on primer extension protocols and outline a strategy for estimating SNP allele frequencies employing microarrays.

DNA↗
PubMed2003

Genome-wide genetic characterization of bladder cancer: a comparison of high-density single-nucleotide polymorphism arrays and PCR-based microsatellite analysis.

Most human cancers are characterized by genomic instability, the accumulation of multiple genetic alterations, and allelic imbalance throughout the genome. Loss of heterozygosity (LOH) is a common form of allelic imbalance, and the detection of LOH has been used to identify genomic regions that harbor tumor suppressor genes and to characterize different tumor types, pathological stages and progression. Global patterns of LOH can be discerned by allelotyping of tumors with polymorphic genetic markers. Microsatellites are reliable genetic markers for studying LOH, but typically only a modest number of microsatellites are tested in LOH studies because the genotyping procedure can be laborious. Here we describe the use of a new alternative approach to comprehensive allelotyping in which samples are genotyped for nearly 1500 single-nucleotide polymorphism (SNP) loci distributed across all human autosomal arms. We examined the pattern of allelic imbalance in human transitional cell carcinomas of the urinary bladder including 36 primary tumors and 1 recurrent tumor with matched normal DNAs. The call rate for all SNPs was 78.5 +/- 1.87% overall samples. Overall, the median number of allelic imbalance was 47.5, ranging from 20 to 118. The mean number of allelic imbalances was 36.58, 51.30, and 67.78 for pT(a), pT(1), and > or =pT(2), respectively, and also increased by grade. The SNP microarray analysis result was validated by comparison with microsatellite allelotype analysis of 118 markers in the same tumors. Overall, the two methods produced consistent loss patterns at informative loci. The SNP assay discovered previously undiscovered allelic imbalances at chromosomal arms 12q, 16p, 1p, and 2q. The detection of LOH and other chromosomal changes using large numbers of SNP markers should enable rapid and accurate identification of allelic imbalance patterns that will facilitate the mapping and identification of important cancer genes. Moreover, SNP analysis raises the possibility of individual tumor genome-wide allelotyping with potential prognostic and diagnostic applications.

Carcinoma, Transitional Cell↗
PubMed2004

Gold nanoparticle-based detection of genomic DNA targets on microarrays using a novel optical detection system.

The development of a nanoparticle-based detection methodology for sensitive and specific DNA-based diagnostic applications is described. The technology utilizes gold nanoparticles derivatized with thiol modified oligonucleotides that are designed to bind complementary DNA targets. A glass surface with arrays of immobilized oligonucleotide capture sequences is used to capture DNA targets, which are then detected via hybridization to the gold nanoparticle probes. Amplification with silver allows for detection and quantitation by measuring evanescent wave induced light scatter with low-cost optical detection systems. Compared to Cy3-based fluorescence, silver amplified gold nanoparticle probes provide for a approximately 1000-fold increase in sensitivity. Furthermore, direct detection of non-amplified genomic DNA from infectious agents is afforded through increased specificity and even identification of single nucleotide polymorphisms (SNP) in human genomic DNA appears feasible.

Bacterial Proteins↗
PubMed2005

Toward genome-wide SNP genotyping.

Genome-wide association studies with SNP markers are expected to allow identification of genes that underlie complex disorders. Hundreds of thousands of SNP markers will be required for comprehensive genome-wide association studies. The development of microarray-based methods for SNP genotyping on this scale remains a demanding task, despite many recent advances in technology for the production of high-density microarrays. A key technical obstacle is the PCR amplification step, which is required to reduce the complexity of and gain sufficient sensitivity for genotyping SNPs in large, diploid genomes. The multiplexing level that can be achieved in PCR does not match that of current microarray-based methods, making PCR the limiting step in the assays. Highly multiplexed microarray systems for SNP genotyping have recently been developed by combining well-known reaction principles for DNA amplification and SNP genotyping in clever ways. These new methods offer the potential of genome-wide SNP mapping of genes involved in complex diseases in the foreseeable future, provided that issues related to selection of the optimal SNP markers, sample throughput and the cost of the assays can be addressed.

DNA-Directed DNA Polymerase↗