High-throughput variation detection and genotyping using microarrays

Genomic alterations in cultured human embryonic stem cells

Cultured human embryonic stem cell (hESC) lines are an invaluable resource because they provide a uniform and stable genetic system for functional analyses and therapeutic applications. Nevertheless, these dividing cells, like other cells, probably undergo spontaneous mutation at a rate of 10(-9) per nucleotide. Because each mutant has only a few progeny, the overall biological properties of the cell culture are not altered unless a mutation provides a survival or growth advantage. Clonal evolution that leads to emergence of a dominant mutant genotype may potentially affect cellular phenotype as well. We assessed the genomic fidelity of paired early- and late-passage hESC lines in the course of tissue culture. Relative to early-passage lines, eight of nine late-passage hESC lines had one or more genomic alterations commonly observed in human cancers, including aberrations in copy number (45%), mitochondrial DNA sequence (22%) and gene promoter methylation (90%), although the latter was essentially restricted to 2 of 14 promoters examined. The observation that hESC lines maintained in vitro develop genetic and epigenetic alterations implies that periodic monitoring of these lines will be required before they are used in in vivo applications and that some late-passage hESC lines may be unusable for therapeutic purposes.

Validation of the high-throughput marker technology DArT using the model plant Arabidopsis thaliana

Diversity Arrays Technology (DArT) is a microarray-based DNA marker technique for genome-wide discovery and genotyping of genetic variation. DArT allows simultaneous scoring of hundreds of restriction site based polymorphisms between genotypes and does not require DNA sequence information or site-specific oligonucleotides. This paper demonstrates the potential of DArT for genetic mapping by validating the quality and molecular basis of the markers, using the model plant Arabidopsis thaliana. Restriction fragments from a genomic representation of the ecotype Landsberg erecta (Ler) were amplified by PCR, individualized by cloning and spotted onto glass slides. The arrays were then hybridized with labeled genomic representations of the ecotypes Columbia (Col) and Ler and of individuals from an F(2) population obtained from a Col x Ler cross. The scoring of markers with specialized software was highly reproducible and 107 markers could unambiguously be ordered on a genetic linkage map. The marker order on the genetic linkage map coincided with the order on the DNA sequence map. Sequencing of the Ler markers and alignment with the available Col genome sequence confirmed that the polymorphism in DArT markers is largely a result of restriction site polymorphisms.

Applications of whole-genome high-density SNP genotyping

The technology to simultaneously genotype hundreds of thousands of single nucleotide polymorphisms in a single assay has only recently been developed. These advances have the potential to revolutionize our ability to identify disease-associated proteins and their corresponding pathways as drugable targets. Several strategies that can take advantage of extremely high-density, genome-wide single nucleotide polymorphism genotyping to hone in on pathogenic genetic variants will be discussed. In familial linkage studies, high-density single nucleotide polymorphism genotyping has already been proven to speed up mutation identification of Mendelian traits several fold. Many studies now report examining loss of heterozygosity and genomic amplifications on a whole-genome level. Genotyping hundreds of thousands of single nucleotide polymorphisms in a single set of assays now also allows for whole-genome association studies in complex, multigenic diseases. The technology of high-density single nucleotide polymorphism genotyping has emerged rapidly, leaving data analysis and bioinformatic challenges only partially met. In this review, the immediate applications and implications of the rapidly changing high-density, whole-genome single nucleotide polymorphism genotyping field on translational research will be described.

On the probability that a novel variant is a disease-causing mutation

When a novel variant is found in a patient and not in a group of controls, it becomes a candidate for the disease-causing mutation in that patient. At present, no sampling theory exists for assessing the probability that the novel SNP might actually be a neutral variant. We have developed a population genetics-based method for calculating a P-value for a mutation-detection effort. Our method can be applied to a heterozygous patient, a homozygous patient, with or without inbreeding, or to a patient who is a compound heterozygote. Additionally, the method can be used to calculate the probability of finding a neutral variant at frequencies that differ between a group of patients and a group of controls, given some length of sequence examined. This method accounts for the multiple testing that is inherent in identification of variants through sequencing, to be used in subsequent case-control analyses. We show, for example, that for complete resequencing of 10 kb, the probability of finding a neutral variant in a patient and not in 50 controls is about 15%. Thus, discovery of a variant in a patient and not in a group of controls is, on its own, very weak evidence of involvement with disease.

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.

Genotyping over 100,000 SNPs on a pair of oligonucleotide arrays

We present a genotyping method for simultaneously scoring 116,204 SNPs using oligonucleotide arrays. At call rates >99%, reproducibility is >99.97% and accuracy, as measured by inheritance in trios and concordance with the HapMap Project, is >99.7%. Average intermarker distance is 23.6 kb, and 92% of the genome is within 100 kb of a SNP marker. Average heterozygosity is 0.30, with 105,511 SNPs having minor allele frequencies >5%.

A common sex-dependent mutation in a RET enhancer underlies Hirschsprung disease risk

The identification of common variants that contribute to the genesis of human inherited disorders remains a significant challenge. Hirschsprung disease (HSCR) is a multifactorial, non-mendelian disorder in which rare high-penetrance coding sequence mutations in the receptor tyrosine kinase RET contribute to risk in combination with mutations at other genes. We have used family-based association studies to identify a disease interval, and integrated this with comparative and functional genomic analysis to prioritize conserved and functional elements within which mutations can be sought. We now show that a common non-coding RET variant within a conserved enhancer-like sequence in intron 1 is significantly associated with HSCR susceptibility and makes a 20-fold greater contribution to risk than rare alleles do. This mutation reduces in vitro enhancer activity markedly, has low penetrance, has different genetic effects in males and females, and explains several features of the complex inheritance pattern of HSCR. Thus, common low-penetrance variants, identified by association studies, can underlie both common and rare diseases.

Denaturing gradient-based two-dimensional gene mutation scanning in a polymer microfluidic network

An integrated two-dimensional (2-D) DNA separation platform, combining standard gel electrophoresis with temperature gradient gel electrophoresis (TGGE) on a polymer microfluidic chip, is reported. Rather than sequentially sampling DNA fragments eluted from standard gel electrophoresis, size-resolved fragments are simultaneously electrokinetically transferred into an array of orthogonal microchannels and screened for the presence of sequence heterogeneity by TGGE in a parallel and high throughput format. A bulk heater assembly is designed and employed to externally generate a temporal temperature gradient along an array of TGGE channels. Extensive finite element modeling is performed to determine the optimal geometries of the microfluidic network for minimizing analyte band dispersion caused by interconnected channels in the network. A pH-mediated on-chip analyte stacking strategy is employed prior to the parallel TGGE separations to further reduce additional band broadening acquired during the electrokinetic transfer of DNA fragments between the first and second separation dimensions. A comprehensive 2-D DNA separation is completed in less than 5 min for positive detection of single-nucleotide polymorphisms in multiplex PCR products that vary in size and sequence.

Screening candidate genes for mutations in patients with hypogonadotropic hypogonadism using custom genome resequencing microarrays

OBJECTIVE

The purpose of this study was to determine the consistency of calling single nucleotide polymorphisms (SNPs) by custom genome resequencing microarrays compared with capillary DNA sequencing.

STUDY DESIGN

Amplified genomic DNA from 23 patients with hypogonadotropic hypogonadism was hybridized to microarrays containing 30 kilobases of sequence from 6 different candidate genes. Capillary DNA sequencing was performed in 10 patients.

RESULTS

For 10 patients with > or =90% of bases called, 49 SNPs in 5 of 6 genes were identified. Of the 490 bases, 75 were ambiguous (read as "N"), and 415 were able to be called an A, C, G, or T. Of 415 called, 401 (96.6%) sequences were confirmed by DNA sequencing. All homozygotes (285/285) were called identically, while sequence from 89.2% (116/130) of heterozygotes agreed by both methods. The level of agreement between microarray calls and capillary DNA sequencing demonstrated substantial accuracy.

CONCLUSION

Custom genome resequencing microarrays are highly consistent with capillary sequencing in calling individual bases in genomic DNA from patients with human disease.

Comparisons of substitution, insertion and deletion probes for resequencing and mutational analysis using oligonucleotide microarrays

Although oligonucleotide probes complementary to single nucleotide substitutions are commonly used in microarray-based screens for genetic variation, little is known about the hybridization properties of probes complementary to small insertions and deletions. It is necessary to define the hybridization properties of these latter probes in order to improve the specificity and sensitivity of oligonucleotide microarray-based mutational analysis of disease-related genes. Here, we compare and contrast the hybridization properties of oligonucleotide microarrays consisting of 25mer probes complementary to all possible single nucleotide substitutions and insertions, and one and two base deletions in the 9168 bp coding region of the ATM (ataxia telangiectasia mutated) gene. Over 68 different dye-labeled single-stranded nucleic acid targets representing all ATM coding exons were applied to these microarrays. We assess hybridization specificity by comparing the relative hybridization signals from probes perfectly matched to ATM sequences to those containing mismatches. Probes complementary to two base substitutions displayed the highest average specificity followed by those complementary to single base substitutions, single base deletions and single base insertions. In all the cases, hybridization specificity was strongly influenced by sequence context and possible intra- and intermolecular probe and/or target structure. Furthermore, single nucleotide substitution probes displayed the most consistent hybridization specificity data followed by single base deletions, two base deletions and single nucleotide insertions. Overall, these studies provide valuable empirical data that can be used to more accurately model the hybridization properties of insertion and deletion probes and improve the design and interpretation of oligonucleotide microarray-based resequencing and mutational analysis.

Diagnosis of HNF-1alpha mutations on a PNA zip-code microarray by single base extension

In the present study, we exploited the superior features of peptide nucleic acids (PNAs) to develop an efficient PNA zip-code microarray for the detection of hepatocyte nuclear factor-1α (HNF-1α) mutations that cause type 3 maturity onset diabetes of the young (MODY). A multi-epoxy linker compound was synthesized and used to achieve an efficient covalent linking of amine-modified PNA to an aminated glass surface. PCR was performed to amplify the genomic regions containing the mutation sites. The PCR products were then employed as templates in a subsequent multiplex single base extension reaction using chimeric primers with 3′ complementarity to the specific mutation site and 5′ complementarity to the respective PNA zip-code sequence on the microarray. The primers were extended by a single base at each corresponding mutation site in the presence of biotin-labeled ddNTPs, and the products were hybridized to the PNA microarray. Compared to the corresponding DNA, the PNA zip-code sequence showed a much higher duplex specificity for the complementary DNA sequence. The PNA zip-code microarray was finally stained with streptavidin-R-phycoerythrin to generate a fluorescent signal. Using this strategy, we were able to correctly diagnose several mutation sites in exon 2 of HNF-1α with a wild-type and mutant samples including a MODY3 patient. This work represents one of the few successful applications of PNA in DNA chip technology.

Dynamic model based algorithms for screening and genotyping over 100K 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.

The Autism Genome Project

Autism is a complex neurodevelopmental disorder with a broad spectrum of symptoms and varying severity. Currently, no biological diagnosis exists. Although there has been a significant increase in autism genetics research recently, validated susceptibility genes for the most common, sporadic forms of autistic disorder, as well as familial autism, have yet to be identified. The identification of autism-susceptibility genes will not only assist in the identification and/or development of better medications that can help improve the health and neurodevelopment of children with autism, but will also allow for better perinatal diagnosis. The Autism Genome Project (AGP) is a large-scale, collaborative genetics research project initiated by the National Alliance for Autism Research and the National Institutes of Health, and is aimed at sifting through the human genome in search of autism-susceptibility genes. Phase I of the AGP will consist of genome-wide scans utilizing both SNP array and microsatellite technologies. Linkage analysis will subsequently be performed on approximately 1500 pedigrees as will downstream fine-mapping and sequencing of the critical linkage intervals. Ultimately, the vision will be to identify the exact nucleotide variants within genes which give rise to predisposition. The AGP intends to move the field of autism clinical management forward by answering questions about the causal mechanisms underlying the pathophysiology of autism. From this knowledge, therapeutic targets for drug treatments, and ultimately, a newborn screening diagnostic that would allow for early intervention, can begin to be developed.

Microarray-based resequencing of multiple Bacillus anthracis isolates

Custom-designed resequencing arrays were used to generate 3.1 Mb of genomic sequence from a panel of 56 Bacillus anthracis strains. Sequence quality was shown to be very high by replication and by comparison to independently generated shotgun sequence

We used custom-designed resequencing arrays to generate 3.1 Mb of genomic sequence from a panel of 56 Bacillus anthracis strains. Sequence quality was shown to be very high by replication (discrepancy rate of 7.4 × 10^-7) and by comparison to independently generated shotgun sequence (discrepancy rate < 2.5 × 10^-6). Population genomics studies of microbial pathogens using rapid resequencing technologies such as resequencing arrays are critical for recognizing newly emerging or genetically engineered strains.

DNA sequencing and genotyping in miniaturized electrophoresis systems

Advances in microchannel electrophoretic separation systems for DNA analyses have had important impacts on biological and biomedical sciences, as exemplified by the successes of the Human Genome Project (HGP). As we enter a new era in genomic science, further technological innovations promise to provide other far-reaching benefits, many of which will require continual increases in sequencing and genotyping efficiency and throughput, as well as major decreases in the cost per analysis. Since the high-resolution size- and/or conformation-based electrophoretic separation of DNA is the most critical step in many genetic analyses, continual advances in the development of materials and methods for microchannel electrophoretic separations will be needed to meet the massive demand for high-quality, low-cost genomic data. In particular, the development (and commercialization) of miniaturized genotyping platforms is needed to support and enable the future breakthroughs of biomedical science. In this review, we briefly discuss the major sequencing and genotyping techniques in which high-throughput and high-resolution electrophoretic separations of DNA play a significant role. We review recent advances in the development of technology for capillary electrophoresis (CE), including capillary array electrophoresis (CAE) systems. Most of these CE/CAE innovations are equally applicable to implementation on microfabricated electrophoresis chips. Major effort is devoted to discussing various key elements needed for the development of integrated and practical microfluidic sequencing and genotyping platforms, including chip substrate selection, microchannel design and fabrication, microchannel surface modification, sample preparation, analyte detection, DNA sieving matrices, and device integration. Finally, we identify some of the remaining challenges, and some of the possible routes to further advances in high-throughput DNA sequencing and genotyping technologies.

Single-molecule analysis for molecular haplotyping

In the genome era, there is great hope that genetic approaches such as linkage equilibrium mapping can be used to study common human disorders using a case-control population association study design. Ideally, the parental chromosomes are marked so that chromosomal regions in the form of haplotypes are compared in these studies to increase the power of association. Determining the haplotypes in a diploid individual is a major technical challenge in genetic studies of complex traits. A molecular approach to haplotyping is therefore highly desirable. Recent advances in DNA preparation, separation, labeling, and image analysis provide hope that a strategy of using a three-dye system coupled with DNA distance measurements between alleles will yield haplotype information of sufficiently high quality for genetic studies. In this work, we present the outline of the major challenges one must meet in developing a robust strategy for SNP detection and molecular haplotyping using single molecule analysis.

Rational design of DNA sequences for nanotechnology, microarrays and molecular computers using Eulerian graphs

Nucleic acids are molecules of choice for both established and emerging nanoscale technologies. These technologies benefit from large functional densities of 'DNA processing elements' that can be readily manufactured. To achieve the desired functionality, polynucleotide sequences are currently designed by a process that involves tedious and laborious filtering of potential candidates against a series of requirements and parameters. Here, we present a complete novel methodology for the rapid rational design of large sets of DNA sequences. This method allows for the direct implementation of very complex and detailed requirements for the generated sequences, thus avoiding 'brute force' filtering. At the same time, these sequences have narrow distributions of melting temperatures. The molecular part of the design process can be done without computer assistance, using an efficient 'human engineering' approach by drawing a single blueprint graph that represents all generated sequences. Moreover, the method eliminates the necessity for extensive thermodynamic calculations. Melting temperature can be calculated only once (or not at all). In addition, the isostability of the sequences is independent of the selection of a particular set of thermodynamic parameters. Applications are presented for DNA sequence designs for microarrays, universal microarray zip sequences and electron transfer experiments.

Haplotype and missing data inference in nuclear families

Determining linkage phase from population samples with statistical methods is accurate only within regions of high linkage disequilibrium (LD). Yet, affected individuals in a genetic mapping study, including those involving cases and controls, may share sequences identical-by-descent stretching on the order of 10s to 100s of kilobases, quite possibly over regions of low LD in the population. At the same time, inferring phase from nuclear families may be hampered by missing family members, missing genotypes, and the noninformativity of certain genotype patterns. In this study, we reformulate our previous haplotype reconstruction algorithm, and its associated computer program, to phase parents with information derived from population samples as well as from their offspring. In applications of our algorithm to 100-kb stretches, simulated in accordance to a Wright-Fisher model with typical levels of LD in humans, we find that phase reconstruction for 160 trios with 10% missing data is highly accurate (>90%) over the entire length. Furthermore, our algorithm can estimate allelic status for missing data at high accuracy (>95%). Finally, the input capacity of the program is vast, easily handling thousands of segregating sites in > or = 1000 chromosomes.

The microarray revolution: Perspectives from educators

In recent years, microarray analysis has become a key experimental tool, enabling the analysis of genome-wide patterns of gene expression. This review approaches the microarray revolution with a focus upon four topics: 1) the early development of this technology and its application to cancer diagnostics; 2) a primer of microarray research, designed to guide the beginner; 3) a highlight of the Genome Consortium for Active Teaching (GCAT), a worldwide consortium of faculty who are integrating microarrays into the undergraduate teaching laboratory; and 4) the use of microarrays in the biotechnology industry with a look forward to future applications. A central theme within this review is the profound relevance of new, bioinformatics-based, technologies to undergraduate students within the biosciences.

Comparison of GenFlex Tag array and Pyrosequencing in SNP genotyping

With the completion of the Human Genome Project, over 2 million sequence-verified single nucleotide polymorphisms (SNPs) have been deposited in public databases. The challenge has shifted from SNP identification to high-throughput SNP genotyping. Although this has had little impact on molecular diagnostics, it provides the potential for future molecular diagnostics of complex traits to include SNP profiling. Accordingly, efficient, accurate, and flexible SNP genotyping are needed. In addition, the drive for low cost has pushed genotyping reactions toward multiplexing capability. We compared two SNP genotyping techniques: Affymetrix GenFlex Tag array and Pyrosequencing. The reference method was a well-established, solid-phase, single nucleotide extension reaction technique based on tritium detection. Fourteen SNPs were selected from the fine mapping project of a multiple sclerosis locus on chromosome 17q. Using all three techniques and the reference method, the SNPs were analyzed in 96 related individuals. Without extensive optimization, we successfully genotyped 11 of 14 SNPs with both GenFlex and Pyrosequencing. Our study suggests that the Pyrosequencing technique provides higher accuracy between the two systems which is most likely due to the single-stranded template in the extension reaction. Thus, Pyrosequencing has potential for diagnostic applications. Pyrosequencing, however, is not optimal for large SNP profiling analyses wherein multiplexing potential is an advantage.

Theoretical aspects of genomic variation screening using DNA microarrays

We present a theoretical model for typical microarray-based single nucleotide polymorphism (SNP) assay of small genomic DNA amount. We derived the adsorption isotherm expressing the on-array hybridization efficiency in terms of genomic target sequence and concentration, oligonucleotide probe sequence and surface density, hybridization buffer, and temperature. This isotherm correctly describes the surface probe density effects, the sensitivity peak, and the melting temperature depression, and is in accord with published experiments. We discuss optimization of parallel SNP genotyping. Our estimates show that SNP detection at a single temperature in aqueous hybridization buffer is restricted by DNA regions that differ by less than 20% in GC content. We predict that the variety of genotyped SNPs could be substantially extended using an assay design with high probe density and a large fraction of probes hybridized.

The Human MitoChip: a high-throughput sequencing microarray for mitochondrial mutation detection

Somatic mitochondrial mutations are common in human cancers, and can be used as a tool for early detection of cancer. We have developed a mitochondrial Custom Reseq microarray as an array-based sequencing platform for rapid and high-throughput analysis of mitochondrial DNA. The MitoChip contains oligonucleotide probes synthesized using standard photolithography and solid-phase synthesis, and is able to sequence >29 kb of double-stranded DNA in a single assay. Both strands of the entire human mitochondrial coding sequence (15,451 bp) are arrayed on the MitoChip; both strands of an additional 12,935 bp (84% of coding DNA) are arrayed in duplicate. We used 300 ng of genomic DNA to amplify the mitochondrial coding sequence in three overlapping long PCR fragments. We then sequenced >2 million base pairs of mitochondrial DNA, and successfully assigned base calls at 96.0% of nucleotide positions. Replicate experiments demonstrated >99.99% reproducibility. In matched fluid samples (urine and pancreatic juice, respectively) obtained from five patients with bladder cancer and four with pancreatic cancer, the MitoChip detected at least one cancer-associated mitochondrial mutation in six (66%) of nine samples. The MitoChip is a high-throughput sequencing tool for the reliable identification of mitochondrial DNA mutations from primary tumors in clinical samples.

S-phase checkpoint genes safeguard high-fidelity sister chromatid cohesion

Cohesion establishment and maintenance are carried out by proteins that modify the activity of Cohesin, an essential complex that holds sister chromatids together. Constituents of the replication fork, such as the DNA polymerase alpha-binding protein Ctf4, contribute to cohesion in ways that are poorly understood. To identify additional cohesion components, we analyzed a ctf4Delta synthetic lethal screen performed on microarrays. We focused on a subset of ctf4Delta-interacting genes with genetic instability of their own. Our analyses revealed that 17 previously studied genes are also necessary for the maintenance of robust association of sisters in metaphase. Among these were subunits of the MRX complex, which forms a molecular structure similar to Cohesin. Further investigation indicated that the MRX complex did not contribute to metaphase cohesion independent of Cohesin, although an additional role may be contributed by XRS2. In general, results from the screen indicated a sister chromatid cohesion role for a specific subset of genes that function in DNA replication and repair. This subset is particularly enriched for genes that support the S-phase checkpoint. We suggest that these genes promote and protect a chromatin environment conducive to robust cohesion.

S-phase checkpoint genes safeguard high-fidelity sister chromatid cohesion

Cohesion establishment and maintenance are carried out by proteins that modify the activity of Cohesin, an essential complex that holds sister chromatids together. Constituents of the replication fork, such as the DNA polymerase alpha-binding protein Ctf4, contribute to cohesion in ways that are poorly understood. To identify additional cohesion components, we analyzed a ctf4Delta synthetic lethal screen performed on microarrays. We focused on a subset of ctf4Delta-interacting genes with genetic instability of their own. Our analyses revealed that 17 previously studied genes are also necessary for the maintenance of robust association of sisters in metaphase. Among these were subunits of the MRX complex, which forms a molecular structure similar to Cohesin. Further investigation indicated that the MRX complex did not contribute to metaphase cohesion independent of Cohesin, although an additional role may be contributed by XRS2. In general, results from the screen indicated a sister chromatid cohesion role for a specific subset of genes that function in DNA replication and repair. This subset is particularly enriched for genes that support the S-phase checkpoint. We suggest that these genes promote and protect a chromatin environment conducive to robust cohesion.

Tracking the evolution of the SARS coronavirus using high-throughput, high-density resequencing arrays

Mutations in the SARS-Coronavirus (SARS-CoV) can alter its clinical presentation, and the study of its mutation patterns in human populations can facilitate contact tracing. Here, we describe the development and validation of an oligonucleotide resequencing array for interrogating the entire 30-kb SARS-CoV genome in a rapid, cost-effective fashion. Using this platform, we sequenced SARS-CoV genomes from Vero cell culture isolates of 12 patients and directly from four patient tissues. The sequence obtained from the array is highly reproducible, accurate (>99.99% accuracy) and capable of identifying known and novel variants of SARS-CoV. Notably, we applied this technology to a field specimen of probable SARS and rapidly deduced its infectious source. We demonstrate that array-based resequencing-by-hybridization is a fast, reliable, and economical alternative to capillary sequencing for obtaining SARS-CoV genomic sequence on a population scale, making this an ideal platform for the global monitoring of SARS-CoV and other small-genome pathogens.

Parallel genotyping of over 10,000 SNPs using a one-primer assay on a high-density oligonucleotide array

The analysis of single nucleotide polymorphisms (SNPs) is increasingly utilized to investigate the genetic causes of complex human diseases. Here we present a high-throughput genotyping platform that uses a one-primer assay to genotype over 10,000 SNPs per individual on a single oligonucleotide array. This approach uses restriction digestion to fractionate the genome, followed by amplification of a specific fractionated subset of the genome. The resulting reduction in genome complexity enables allele-specific hybridization to the array. The selection of SNPs was primarily determined by computer-predicted lengths of restriction fragments containing the SNPs, and was further driven by strict empirical measurements of accuracy, reproducibility, and average call rate, which we estimate to be >99.5%, >99.9%, and>95%, respectively [corrected]. With average heterozygosity of 0.38 and genome scan resolution of 0.31 cM, the SNP array is a viable alternative to panels of microsatellites (STRs). As a demonstration of the utility of the genotyping platform in whole-genome scans, we have replicated and refined a linkage region on chromosome 2p for chronic mucocutaneous candidiasis and thyroid disease, previously identified using a panel of microsatellite (STR) markers.

Efficient discovery of DNA polymorphisms in natural populations by Ecotilling

We have adapted the mutation detection technology used in Targeting Induced Local Lesions in Genomes (TILLING) to the discovery of polymorphisms in natural populations. The genomic DNA of a queried individual is mixed with a reference DNA and used to amplify a target 1-kbp region of DNA with asymmetrically labeled fluorescent primers. After heating and annealing, heteroduplexes are nicked at mismatched sites by the endonuclease CEL I and cut strands are visualized using Li-cor gel analyzers. Putative polymorphisms detected in one fluorescence channel can be verified by appearance of the opposite cut strand in the other channel. We demonstrated the efficiency of this technology, called Ecotilling, by the discovery in 150+ individuals of 55 haplotypes in five genes, ranging from sequences differing by a single nucleotide polymorphism to those representing complex haplotypes. The discovered polymorphisms were confirmed by sequencing and included base-pair changes, small insertions and deletions, and variation in microsatellite repeat number. Ecotilling allows the rapid detection of variation in many individuals and is cost effective because only one individual for each haplotype needs to be sequenced. The technology is applicable to any organism including those that are heterozygous and polyploid.

Cell-Free Protein Expression and Functional Assay in Nanowell Chip Format

The expression and characterization of large protein libraries requires high-throughput tools for rapid and cost-effective expression and screening. A promising tool to meet these requirements is miniaturized high-density plates in chip format, consisting of an array of wells with submicroliter volumes. Here, we show the combination of nanowell chip technology and cell-free transcription and translation of proteins. Using piezoelectric dispensers, we transferred proteins into nanowells down to volumes of 100 nL and successfully detected fluorescence using confocal laser scanning. Moreover, we showed cell-free expression of proteins on a nanoliter scale using commercially available coupled transcription and translation systems. To reduce costs, we demonstrated the feasibility of diluting the coupled in vitro transcription and translation mix prior to expression. Additionally, we present an enzymatic inhibition assay in nanowells to anticipate further applications, such as the high-throughput screening of drug candidates or the identification of novel enzymes for biotechnology.

Single nucleotide polymorphism genotyping: biochemistry, protocol, cost and throughput

The large number of single nucleotide polymorphism (SNP) markers available in the public databases makes studies of association and fine mapping of disease loci very practical. To provide information for researchers who do not follow SNP genotyping technologies but need to use them for their research, we review here recent developments in the fields. We start with a general description of SNP typing protocols and follow this with a summary of current methods for each step of the protocol and point out the unique features and weaknesses of these techniques as well as comparing the cost and throughput structures of the technologies. Finally, we describe some popular techniques and the applications that are suitable for these techniques.

Application of kinetic polymerase chain reaction and molecular beacon assays to pooled analyses and high-throughput genotyping for candidate genes

BACKGROUND

The addition of DNA analysis to epidemiologic studies that have traditionally incorporated demographic and interview data can provide additional power and open new avenues for investigation. DNA can be obtained from a variety of tissues, but each has attendant variation in sample quantity, quality, and cost of acquisition. Analytic approaches for DNA genotyping are under constant development, but current applications allow small amounts (less than 2 ng per assay) of DNA to be used for genotyping.

METHODS

In this report, we designed effective assays for a spectrum of genes using either kinetic polymerase chain reaction (PCR) or molecular beacon applications. We also investigated the extent to which DNA use and reagent cost could be minimized. Kinetic PCR assays were also applied to investigate the potential of pooled sample analysis.

RESULTS

Our results show that small amounts of DNA can be successfully amplified in a high-throughput fashion using both kinetic PCR and molecular beacon methods. Greater than 97% of the genotype results from these two methods are consistent. In addition, error rates in allele frequency measurements using DNA pools of 100 or more samples were often less than 1% and usually less than 3%, which provides another option for substantially minimizing the costs of genotyping in studies involving large numbers of individuals.

CONCLUSIONS

Effective assays have been designed for a spectrum of genes widely studied in birth defects, including: MTHFR, NAT1, TGFA, RFC1, PAX9, EPHX1, and SKI. An efficient assay has been designed for the detection of the presence of X and Y chromosomes, which can be applied to the studies of sex chromosome abnormalities or sample quality control.

Advanced computational techniques for re-sequencing DNA with polymerase signaling assay arrays

Re-sequencing, the identification of the specific variants in a sequence of interest compared with a known genomic sequence, is a ubiquitous task in today's biology. Universal arrays, which interrogate all possible oligonucleotides of a certain length in a target sequence, have been suggested for computationally determining a polynucleotide sequence from its oligonucleotide content. We present here new methods that use such arrays for re-sequencing. Our methods are applied to data obtained by the polymerase signaling assay, which arrays single-based primer extension reactions for either universal or partial arrays of pentanucleotides. The computational analysis uses the spectrum alignment algorithm, which is refined and enhanced here in order to overcome noise incurred by the use of such short primers. We present accurate re-sequencing results for both synthetic and amplified DNA molecules.

Molecular staging and pharmacogenomics. Clinical implications: from lab to patients and back

The complexities of human cancer have frustrated attempts to understand its genetic underpinnings and explain the unpredictable behavior of individual tumors. Advances in robotics and computer science, as well as the sequence data from the human genome project are now allowing us to begin to glean useful information from the simultaneous analysis of thousands of data elements from hundreds of tumors. Through the sophisticated analysis of patterns in these complex data sets, we are seeing clues that we may be able to predict the behavior of individual tumors as well as to define novel biomarkers and therapeutic targets. In this review, we will discuss the application of these high-throughput technologies for the study of human lung cancer.

The genetic and molecular basis of epilepsy

In the past decade, studies of large families in which epilepsy has been inherited in an autosomal dominant fashion have revealed several mutated genes, most of which encode ion channel subunits. Despite these exciting findings, only a few families with similar phenotypes have mutations in these known genes. More frustrating has been the genetic research into idiopathic epilepsies with complex inheritance. Although these forms are more common than those with Mendelian inheritance, their unknown mode of inheritance, phenotypic heterogeneity and the uncertainty of the genetic overlap among syndrome subtypes have hampered gene mapping. New techniques of molecular analysis could help the dissection of genes for epilepsies with complex inheritance. Hopefully, in the near future, successful genetic studies will make possible the discovery of new and more-targeted anti-epileptic drugs.

Single nucleotide mismatch analysis using oligonucleotide probes synthesized on bacterial magnetic particle

An approach to analyze mismatches using short and specific oligonucleotide probes directly synthesized on bacterial magnetic particles (BMPs) by phosphoramidite methods was exploited. Approximately 126 molecules of 4-mer oligonucleotides/particle were synthesized on BMPs with high reaction efficiencies. Hybridization between FITC-labeled oligonucleotides and chemically synthesized oligonucleotides on BMPs was performed. Perfect matched and mismatched hybridizations were successfully discriminated by using the oligonucleotide probes on BMPs.

Single nucleotide polymorphism genotyping of aldehyde dehydrogenase 2 gene using a single bacterial magnetic particle

A single nucleotide polymorphism (SNP) genotyping for aldehyde dehydrogenase 2 gene (ALDH2) has been developed by using a nano-sized magnetic particle, which was synthesized intracellularly by magnetic bacteria. Streptavidin-immobilized on bacterial magnetic particles (BMPs) were prepared using biotin labeled cross-linkers reacting with the amine group on BMPs. ALDH2 fragments from genomic DNA were amplified using a TRITC labeled primer and biotin labeled primer pair, and conjugated onto BMP surface by biotin-streptavidin interaction. PCR product-BMP complex was observed at a single particle level by fluorescence microscopy. These complexes were treated with restriction enzyme, specifically digesting the wild-type sequence of ALDH2 (normal allele of ALDH2). The homozygous (ALDH2*1/*1), heterozygous (ALDH2*1/*2), and mutant (ALDH2*2/*2) genotypes were discriminated by three fluorescence patterns of each particle. SNP genotyping of ALDH2 has been successfully achieved at a single particle level using BMP.

Undetected genotyping errors cause apparent overtransmission of common alleles in the transmission/disequilibrium test

The transmission/disequilibrium test (TDT), a family-based test of linkage and association, is a popular and intuitive statistical test for studies of complex inheritance, as it is nonparametric and robust to population stratification. We carried out a literature search and located 79 significant TDT-derived associations between a microsatellite marker allele and a disease. Among these, there were 31 (39%) in which the most common allele was found to exhibit distorted transmission to affected offspring, implying that the allele may be associated with either susceptibility to or protection from a disease. In 27 of these 31 studies (87%), the most common allele appeared to be overtransmitted to affected offspring (a risk factor), and, in the remaining 4 studies, the most common allele appeared to be undertransmitted (a protective factor). In a second literature search, we identified 92 case-control studies in which a microsatellite marker allele was found to have significantly different frequencies in case and control groups. Of these, there were 37 instances (40%) in which the most common allele was involved. In 12 of these 37 studies (32%), the most common allele was enriched in cases relative to controls (a risk factor), and, in the remaining 25 studies, the most common allele was enriched in controls (a protective factor). Thus, the most common allele appears to be a risk factor when identified through the TDT, and it appears to be protective when identified through case-control analysis. To understand this phenomenon, we incorporated an error model into the calculation of the TDT statistic. We show that undetected genotyping error can cause apparent transmission distortion at markers with alleles of unequal frequency. We demonstrate that this distortion is in the direction of overtransmission for common alleles. Therefore, we conclude that undetected genotyping errors may be contributing to an inflated false-positive rate among reported TDT-derived associations and that genotyping fidelity must be increased.

Genotyping on a thermal gradient DNA chip

Silicon-based chips with discrete, independently temperature-controlled islands have been developed for use in DNA microarray hybridization studies. Each island, containing a heater made of a diffusion layer and a temperature sensor based on a p-n junction, is created on a silicon dioxide/nitride surface by anisotropic etching. Different reactive groups are subsequently added to the surface of the islands, and allele-specific oligonucleotide probes are attached to discrete spots on the chip. Hybridization is performed with Cy5-tagged single-stranded targets derived by PCR from genomic DNA. Results are assessed by measuring fluorescence of bound dye-tagged targets after hybridization and washing. Temperatures at each island can be set at different values to obtain optimal distinction between perfect matches and mismatches. This approach facilitates definition of optimal temperatures for probe/target annealing and for distinction between perfectly matched versus mismatched solution-phase targets. The thermal gradient DNA chips were then tested for genotyping, and the results for four different loci in two genes are presented. Unambiguous typing was achieved for clinically relevant loci within the factor VII and hemochromatosis genes.

Analysis of Clinically Relevant Single-Nucleotide Polymorphisms by Use of Microelectronic Array Technology

Background: Microelectronic DNA chip devices represent an emerging technology for genotyping. We developed methods for detection of single-nucleotide polymorphisms (SNPs) in clinically relevant genes.

Methods: Primer pairs, with one containing a 5′-biotin group, were used to PCR-amplify the region encompassing the SNP to be interrogated. After denaturation, the biotinylated strand was electronically targeted to discrete sites on streptavidin-coated gel pads surfaces by use of a Nanogen Molecular Workstation. Allele-specific dye-labeled oligonucleotide reporters were used for detection of wild-type and variant sequences. Methods were developed for SNPs in genes, including factor VII, β-globin, and the RET protooncogene. We genotyped 331 samples for five DNA variations in the factor VII gene, &gt;600 samples from patients with β-thalassemia, and 15 samples for mutations within the RET protooncogene. All samples were previously typed by various methods, including DNA sequence analysis, allele-specific PCR, and/or restriction enzyme digestion of PCR products.

Results: Analysis of amplified DNA required 4–6 h. After mismatched DNA was removed, signal-to-noise ratios were &gt;5. More than 940 samples were typed with the microelectronic array platform, and results were totally concordant with results obtained previously by other genotyping methods.

Conclusions: The described protocols detect SNPs of clinical interest with results comparable to those of other genotyping methods.

Medical applications of microarray technologies: a regulatory science perspective

The potential medical applications of microarrays have generated much excitement, and some skepticism, within the biomedical community. Some researchers have suggested that within the decade microarrays will be routinely used in the selection, assessment, and quality control of the best drugs for pharmaceutical development, as well as for disease diagnosis and for monitoring desired and adverse outcomes of therapeutic interventions. Realizing this potential will be a challenge for the whole scientific community, as breakthroughs that show great promise at the bench often fail to meet the requirements of clinicians and regulatory scientists. The development of a cooperative framework among regulators, product sponsors, and technology experts will be essential for realizing the revolutionary promise that microarrays hold for drug development, regulatory science, medical practice and public health.

Haplotype inference in random population samples

Contemporary genotyping and sequencing methods do not provide information on linkage phase in diploid organisms. The application of statistical methods to infer and reconstruct linkage phase in samples of diploid sequences is a potentially time- and labor-saving method. The Stephens-Smith-Donnelly (SSD) algorithm is one such method, which incorporates concepts from population genetics theory in a Markov chain-Monte Carlo technique. We applied a modified SSD method, as well as the expectation-maximization and partition-ligation algorithms, to sequence data from eight loci spanning >1 Mb on the human X chromosome. We demonstrate that the accuracy of the modified SSD method is better than that of the other algorithms and is superior in terms of the number of sites that may be processed. Also, we find phase reconstructions by the modified SSD method to be highly accurate over regions with high linkage disequilibrium (LD). If only polymorphisms with a minor allele frequency >0.2 are analyzed and scored according to the fraction of neighbor relations correctly called, reconstructions are 95.2% accurate over entire 100-kb stretches and are 98.6% accurate within blocks of high LD.

Multiplexed, high-throughput genotyping by single-base extension and end-labeled free-solution electrophoresis

Technologies that allow for high-throughput, economical, and accurate single nucleotide polymorphism (SNP) genotyping are becoming crucial for modern genomic efforts. Here, we present a method for multiplexed single-base extension (SBE) genotyping that takes advantage of the unique separation modalities made possible via end-labeled free-solution electrophoresis (ELFSE). Three unique SBE oligonucleotide primers, which probe for mutations of clinical importance in the human p53 gene, were covalently conjugated to three unique polypeptoid frictional end labels and mixed together. This primer-polypeptoid conjugate cocktail was then used in a multiplexed SBE reaction followed by free-solution separation in a 96-capillary array electrophoresis (CAE) instrument. The study was designed to demonstrate multiplexed SNP genotyping of several loci in a single reaction and a single subsequent analysis. Further, the electrophoretic analysis was conducted without any viscous polymeric separation media, was complete in less than 10 min, and can be implemented in any capillary or microfluidic electrophoretic system with four-color fluorescent detection capabilities. Multiplexed SBE-ELFSE genotyping analysis resulted in the simultaneous and accurate genotyping of three p53 loci on five different DNA templates in a single reaction set and single CAE analysis. With the implementation of this method in 96 or more capillaries in parallel, high-throughput screening of SNPs will be accessible to a large number of laboratories.

Microarrays in pharmacogenomics--advances and future promise

With their ability to provide global views of genome sequence and gene activity, microarrays have emerged as key analytical tools in the field of pharmacogenomics. Vast amounts of data must be collected and analyzed to meet pharmacogenomics' ambitious goals, ranging from identifying markers that predict individuals' responses to therapy to discovering new drug targets. Microarrays will be instrumental to these efforts because they provide bountiful sources of gene expression and genotypic data. Attesting to their productivity, microarrays have been the central technology used in thousands of peer-reviewed publications and have also become important contributors to many databases including PharmGKB, the Cancer Microarray Database and the database of single nucleotide polymorphisms (dbSNP). Microarrays are also making more focused contributions, however, in helping pursue hypothesis-driven inquiries that extend or complement broad genomic surveys. In addition, their potential as clinical tools is being increasingly recognized. This review identifies some of the varied and changing needs of pharmacogenomics research and discusses the ways in which microarrays are tending to these demands. The technique's strongpoints and limitations are examined, as well as its future potential.

Microarrays and genetic epidemiology: a multipurpose tool for a multifaceted field

The advent of molecular technologies that allow the collection and analysis of large amounts of genetic data is rapidly transforming the field of genetic epidemiology. Whether monitoring infectious outbreaks or identifying genotypic variations that underlie disease susceptibility, genetic epidemiology relies heavily on the analysis of multiple, independently derived results. By allowing the simultaneous monitoring of thousands of genetic or expression data points, microarrays are emerging as particularly powerful tools. Several recent reviews have described array manufacturing and the types of scientific questions that can exploit this technology, but few have addressed how the intended use of an array can dictate its design. This review will focus on this latter issue, with particular emphasis on the genetic epidemiology of infectious disease. The design of arrays for genotyping, expression profiling, and fingerprinting are presented, and examples of recent epidemiological studies are used to illustrate the applications' strong points and limitations. In addition to discussing arrays' ability to provide global views of gene identity or function, the review will describe design options for creating arrays that detect multiple genetic variations. It will also examine the reliability of array-generated fingerprints, assay accessibility, and possibilities for sharing and comparing data across studies. Although many challenges lie ahead, microarrays' multiple abilities appear uniquely poised to accelerate the advance of genetic epidemiology's multiple fronts.

New developments in high-throughput resequencing and variation detection using high density microarrays

We developed a high-throughput method for resequencing for single nucleotide polymorphism (SNP) discovery using high-density microarrays. Over the two-year course of this study a number of improvements in sample preparation methods, hybridization assay, array handling, and analysis method were developed and implemented. DNA from 40 unrelated individuals of three different ethnic origins was amplified, labeled, and hybridized to arrays designed with probes representing genomic, coding, and regulatory regions. Protocol improvements including the use of long PCR and semi-automation reduced labeling and fragmentation costs by 33%. Automation improvements include the development of a scanner autoloader for arrays, a faster array wash station, and a linked laboratory tracking and data management system. Validation of a smaller feature size, 20 x 24 microns, allowed the simultaneous screening of 30-kb sense and 30-kb antisense DNA on each microarray, increasing throughput to 1.4 Mb per day per two laboratory personnel. More than 15,000 SNPs were identified in 8.3 Mb of the human genome using high-density resequencing and variation detection arrays (microarrays).

ViewGene: a graphical tool for polymorphism visualization and characterization

The human genome project is producing an enormous amount of sequence data, based on which single base changes between individuals can be identified. Unfortunately, computer tools that were adequate for sequence assembly are less than ideal for the characterization of polymorphism data [single nucleotide (snp) or insertion/deletion (indel)] and other sequence features, and their relationship to each other. We have developed viewGene as a flexible tool that takes input from a number of sequence formats and analysis programs (Genbank, FASTA, RepeatMasker, Cross match, BLAST, user-defined data) to construct a sequence reference scaffold that can be viewed through a simple graphical interface. polymorphisms generated from many sources can be added to this scaffold through the same sequence formats, with a variety of options to control what is displayed. Large amounts of polymorphism data can be organized so that patterns and haplotypes can be readily discerned. In our laboratory, viewGene has been used to view annotated genbank records, find nonrepetitive sequence fragments for polymorphism detection, and visualize similarity search results. Manipulation, cross-referencing, and haplotype viewing of snp data are essential for quality assessment and identification of variants associated with genetic disease, and viewGene provides all three of these important functions.