Molecular haplotyping at high throughput

Validation of Reference Genes for Transcriptional Analyses in Pleurotus ostreatus by Using Reverse Transcription-Quantitative PCR

Recently, the lignin-degrading basidiomycete Pleurotus ostreatus has become a widely used model organism for fungal genomic and transcriptomic analyses. The increasing interest in this species has led to an increasing number of studies analyzing the transcriptional regulation of multigene families that encode extracellular enzymes. Reverse transcription (RT) followed by real-time PCR is the most suitable technique for analyzing the expression of gene sets under multiple culture conditions. In this work, we tested the suitability of 13 candidate genes for their use as reference genes in P. ostreatus time course cultures for enzyme production. We applied three different statistical algorithms and obtained a combination of stable reference genes for optimal normalization of RT-quantitative PCR assays. This reference index can be used for future transcriptomic analyses and validation of transcriptome sequencing or microarray data. Moreover, we analyzed the expression patterns of a laccase and a manganese peroxidase (lacc10 and mnp3, respectively) in lignocellulose and glucose-based media using submerged, semisolid, and solid-state fermentation. By testing different normalization strategies, we demonstrate that the use of nonvalidated reference genes as internal controls leads to biased results and misinterpretations of the biological responses underlying expression changes.

Genetic analysis with nanoPCR

Polymerase chain reaction (PCR) has become a standard and important molecular biological technique with numerous applications in genetic analysis, forensics and in vitro diagnostics. Since its invention in the 1980s, there has been dramatic performance improvement arising from long-lasting efforts to optimize amplification conditions in both academic studies and commercial applications. More recently, a range of nanometer-sized materials including metal nanoparticles, semiconductor quantum dots, carbon nanomaterials and polymer nanoparticles, have shown unique effects in tuning amplification processes of PCR. It is proposed that these artificial nanomaterials mimic protein components in the natural DNA replication machinery in vivo. These so-called nanomaterials-assisted PCR (nanoPCR) strategies shed new light on powerful PCR with unprecedented sensitivity, selectivity and extension rate. In this review, we aim to summarize recent progress in this direction and discuss possible mechanisms for such performance improvement and potential applications in genetic analysis (particularly gene typing and haplotyping) and diagnostics.

A Simple PCR-RFLP Method for Genetic Phase Determination in Compound Heterozygotes

When susceptibility to diseases is caused by cis-effects of multiple alleles at adjacent polymorphic sites, it may be difficult to assess with confidence the genetic phase and identify individuals carrying the risk haplotype. Experimental assessment of genetic phase is still challenging and most population studies use statistical approaches to infer haplotypes given the observed genotypes. While these statistical approaches are powerful and have been proven very useful in large scale genetic population studies, they may be prone to errors in studies with small sample size, especially in the presence of compound heterozygotes. Here, we describe a simple and novel approach using the popular PCR-RFLP based strategy to assess the genetic phase in compound heterozygotes. We apply this method to two extensively studied SNPs in two clustered immune-related genes: The -308 (G > A) and the +252 (A > G) SNPs of the tumor necrosis factor (TNF) alpha and the lymphotoxin alpha (LTA) genes, respectively. Using this method, we successfully determined the genetic phase of these two SNPs in known compound heterozygous individuals and in every sample tested. We show that the A allele of TNF -308 is carried on the same chromosome as the LTA +252(G) allele.

Gold nanoparticles for high-throughput genotyping of long-range haplotypes

Completion of the Human Genome Project and the HapMap Project has led to increasing demands for mapping complex traits in humans to understand the aetiology of diseases. Identifying variations in the DNA sequence, which affect how we develop disease and respond to pathogens and drugs, is important for this purpose, but it is difficult to identify these variations in large sample sets. Here we show that through a combination of capillary sequencing and polymerase chain reaction assisted by gold nanoparticles, it is possible to identify several DNA variations that are associated with age-related macular degeneration and psoriasis on significant regions of human genomic DNA. Our method is accurate and promising for large-scale and high-throughput genetic analysis of susceptibility towards disease and drug resistance.

Use of matrix-assisted laser desorption/ionization time-of-flight mass spectrometry for multiplex genotyping

After completion of the human genome project, the focus of geneticists has shifted to elucidation of gene function and genetic diversity to understand the mechanisms of complex diseases or variation of patient response in drug treatment. In the past decade, many different genotyping techniques have been described for the detection of single-nucleotide polymorphisms (SNPs) and other common polymorphic variants. Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS) is among the most powerful and widely used genotyping technologies. The method offers great flexibility in assay design and enables highly accurate genotyping at high sample throughput. Different strategies for allele discrimination and quantification have been combined with MALDI (hybridization, ligation, cleavage, and primer extension). Approaches based on primer extension have become the most popular applications. This combination enables rapid and reliable multiplexing of SNPs and other common variants, and makes MALDI-TOF-MS well suited for large-scale studies in fine-mapping and verification of genome-wide scans. In contrast to standard genotyping, more demanding approaches have enabled genotyping of DNA pools, molecular haplotyping or the detection of free circulating DNA for prenatal or cancer diagnostics. In addition, MALDI can also be used in novel applications as DNA methylation analysis, expression profiling, and resequencing. This review gives an introduction to multiplex genotyping by MALDI-MS and will focus on the latest developments of this technology.

Experimental generation of SNP haplotype signatures in patients with sickle cell anaemia

Background

Sickle cell anemia is caused by a single type of mutation, a homozygous A→T substitution in the ß globin gene. Clinical severity is diverse, partially due to additional, disease-modifying genetic factors. We are studying one such modifier locus, HMIP (HBS1L-MYB intergenic polymorphism, chromosome 6q23.3). Working with a genetically admixed patient population, we have encountered the necessity to generate haplotype signatures of genetic markers to label genomic fragments with distinct genealogical origin at this locus. With the goal to generate haplotype signatures from patients experimentally, we have investigated the suitability of an existing nanofluidic assay platform to perform phase alignment with single-nucleotide polymorphism alleles.

Methodology/Principal Findings

Patient DNA samples were loaded onto Fluidigm Digital Arrays and individual DNA molecules were assayed with allele-specific probes for SNP markers. Here we present data showing the utility of the nanofluidic approach, yielding haplotype data identical to those obtained with a family-based method. We then determined haplotype composition in a group of patients with sickle cell disease, including in those where a mathematical inference approach gave ambiguous or misleading results. Experimental phasing of genotypes across 3.8 kb for rs9399137, rs9402685, and rs11759553 created unequivocal haplotype signatures for each of the patients. In 68 patients, we found 8 copies of a haplotype signature (‘C-C-T’), which is known to be prevalent in Europeans but to be absent in West African populations. We have confirmed the identity of our phased allele pairs by single-molecule sequencing and have demonstrated, in principle, that three-allele phasing (using three colors) is a potential extension to this method.

Conclusions/Significance

Phased haplotypes yield more information than the individual marker genotypes. Procedures such as the one described here would therefore benefit genetic mapping and functional studies as well as diagnostic procedures where the identity or parental origin of short genetic fragments is of importance.

Search for genetic markers and functional variants involved in the development of opiate and cocaine addiction and treatment

Addiction to opiates and illicit use of psychostimulants is a chronic, relapsing brain disease that, if left untreated, can cause major medical, social, and economic problems. This article reviews recent progress in studies of association of gene variants with vulnerability to develop opiate and cocaine addictions, focusing primarily on genes of the opioid and monoaminergic systems. In addition, we provide the first evidence of a cis-acting polymorphism and a functional haplotype in the PDYN gene, of significantly higher DNA methylation rate of the OPRM1 gene in the lymphocytes of heroin addicts, and significant differences in genotype frequencies of three single-nucleotide polymorphisms of the P-glycoprotein gene (ABCB1) between "higher" and "lower" methadone doses in methadone-maintained patients. In genomewide and multigene association studies, we found association of several new genes and new variants of known genes with heroin addiction. Finally, we describe the development and application of a novel technique: molecular haplotyping for studies in genetics of drug addiction.

Direct determination of haplotypes from single DNA molecules

Determining the long-range haplotypes in a diploid individual is a major technical challenge. Here we report a method of molecular haplotyping by directly imaging multiple polymorphic sites on individual human DNA molecules simultaneously. We demonstrate the utility of this technology by accurately determining the haplotypes consisting of up to 16 single-nucleotide polymorphisms in genomic regions up to 50 kilobases.

SNP-specific extraction of haplotype-resolved targeted genomic regions

The availability of genotyping platforms for comprehensive genetic analysis of complex traits has resulted in a plethora of studies reporting the association of specific single-nucleotide polymorphisms (SNPs) with common diseases or drug responses. However, detailed genetic analysis of these associated regions that would correlate particular polymorphisms to phenotypes has lagged. This is primarily due to the lack of technologies that provide additional sequence information about genomic regions surrounding specific SNPs, preferably in haploid form. Enrichment methods for resequencing should have the specificity to provide DNA linked to SNPs of interest with sufficient quality to be used in a cost-effective and high-throughput manner. We describe a simple, automated method of targeting specific sequences of genomic DNA that can directly be used in downstream applications. The method isolates haploid chromosomal regions flanking targeted SNPs by hybridizing and enzymatically elongating oligonucleotides with biotinylated nucleotides based on their selective binding to unique sequence elements that differentiate one allele from any other differing sequence. The targeted genomic region is captured by streptavidin-coated magnetic particles and analyzed by standard genotyping, sequencing or microarray analysis. We applied this technology to determine contiguous molecular haplotypes across a ∼150 kb genomic region of the major histocompatibility complex.

Grouping preprocess to accurately extend application of EM algorithm to haplotype inference

Haplotype inference is an indispensable technique in medical science, especially in genome-wide association studies. Although the conventional method of inference using the expectation-maximization (EM) algorithm by Excoffier and Slatkin is one standard approach, as its calculation cost is an exponential function of the maximum number of heterozygous loci, it has not been widely applied. We propose a method of haplotype inference that can empirically accommodate up to several tens of single nucleotide polymorphism loci in a single haplotype block while maintaining criteria that are exactly equivalent to those of the EM algorithm. The idea is to reduce the cost of calculating the EM algorithm by using a haplotype-grouping preprocess exploiting the symmetrical and inclusive relationships of haplotypes based on the Hardy-Weinberg equilibrium. Testing of the proposed method using real data sets revealed that it has a wider range of applications than the EM algorithm.

Haplotype reconstruction for scnp DNA: a consensus vote approach with extensive sequence data from populations of the migratory locust (Locusta migratoria)

Single copy nuclear polymorphic (scnp) DNA is potentially a powerful molecular marker for evolutionary studies of populations. However, a practical obstacle to its employment is the general problem of haplotype determination due to the common occurrence of heterozygosity in diploid organisms. We explore here a 'consensus vote' (CV) approach to this question, combining statistical haplotype reconstruction and experimental verification using as an example an indel-free scnp DNA marker from the flanking region of a microsatellite locus of the migratory locust. The raw data comprise 251-bp sequences from 526 locust individuals (1052 chromosomes), with 71 (28.3%) polymorphic nucleotide sites (including seven triallelic sites) and 141 distinct genotypes (with frequencies ranging from 0.2 to 25.5%). Six representative statistical haplotype reconstruction algorithms are employed in our CV approach, including one parsimony method, two expectation-maximization (EM) methods and three Bayesian methods. The phases of 116 ambiguous individuals inferred by this approach are verified by molecular cloning experiments. We demonstrate the effectiveness of the CV approach compared to inferences based on individual statistical algorithms. First, it has the unique power to partition the inferrals into a reliable group and an uncertain group, thereby allowing the identification of the inferrals with greater uncertainty (12.7% of the total sample in this case). This considerably reduces subsequent efforts of experimental verification. Second, this approach is capable of handling genotype data pooled from many geographical populations, thus tolerating heterogeneity of genetic diversity among populations. Third, the performance of the CV approach is not influenced by the number of heterozygous sites in the ambiguous genotypes. Therefore, the CV approach is potentially a reliable strategy for effective haplotype determination of nuclear DNA markers. Our results also show that rare variations and rare inferrals tend to be more vulnerable to inference error, and hence deserve extra surveillance.

Haplotype-association analysis

Association methods based on linkage disequilibrium (LD) offer a promising approach for detecting genetic variations that are responsible for complex human diseases. Although methods based on individual single nucleotide polymorphisms (SNPs) may lead to significant findings, methods based on haplotypes comprising multiple SNPs on the same inherited chromosome may provide additional power for mapping disease genes and also provide insight on factors influencing the dependency among genetic markers. Such insights may provide information essential for understanding human evolution and also for identifying cis-interactions between two or more causal variants. Because obtaining haplotype information directly from experiments can be cost prohibitive in most studies, especially in large scale studies, haplotype analysis presents many unique challenges. In this chapter, we focus on two main issues: haplotype inference and haplotype-association analysis. We first provide a detailed review of methods for haplotype inference using unrelated individuals as well as related individuals from pedigrees. We then cover a number of statistical methods that employ haplotype information in association analysis. In addition, we discuss the advantages and limitations of different methods.

Single-nucleotide polymorphisms: analysis by mass spectrometry

Matrix-assisted laser desorption-ionization (MALDI) mass spectrometry has evolved as a powerful method for analyzing nucleic acids. Here we provide protocols for genotyping single-nucleotide polymorphisms (SNPs) by MALDI based on PCR and primer extension to generate allele-specific products. Furthermore, we present three different approaches for sample preparation of primer-extension products before MALDI analysis and discuss their potential areas of application. The first approach, the 'GOOD' assay, is a purification-free procedure that uses DNA-modification chemistry, including alkylation of phosphorothioate linkages in the extension primers. The other two approaches use either solid-phase extraction or microarray purification for the purification of primer-extension products. Depending on the reaction steps of the various approaches, the protocols take about 6-8 hours.

Determination of haplotypes from single DNA molecules: a method for single-molecule barcoding

Determining the haplotypes in a diploid individual is a major technical challenge in genetic studies of human complex traits. Here we report a method of molecular haplotyping by directly imaging multiple polymorphic sites on individual DNA molecules simultaneously. DNA fragments amplified by long-range PCR were labeled with fluorescent dyes at each polymorphic site using a modified gap-filled padlock probe ligation approach. The labeled DNA molecules were then stretched into linear form on a functionalized glass surface and imaged with multicolor total internal reflection fluorescence (TIRF) microscopy. By determining the colors and positions of the fluorescent labels with respect to the backbone at polymorphic sites, the haplotype can be inferred accurately, in a manner similar to reading a barcode, even when the DNA fragments are not fully labeled. The feasibility of this technology is demonstrated by the determination of the haplotype of a 9.3-kbp DNA fragment containing four SNPs.

A comparison of several methods for haplotype frequency estimation and haplotype reconstruction for tightly linked markers from general pedigrees

Haplotype inference for tightly linked markers from general pedigrees remains a challenging problem. Only a few methods are available to efficiently and accurately estimate haplotype frequencies and reconstruct haplotypes for a large number of tightly linked markers from general pedigrees in the presence of missing data, and their performance has not been carefully and extensively evaluated. In this paper, we compare four published methods for haplotype reconstruction and frequency estimation for tightly linked markers from general pedigrees, including HAPLORE, GENEHUNTER, PedPhase, and MERLIN. We review these methods and discuss the differences between them in terms of the models and computational strategies employed. We assess their performance based on simulations using pedigrees and haplotypes on tightly linked single nucleotide polymorphisms from real studies. We investigate the effect of several factors, including the missing rate, the departure from Hardy-Weinberg Equilibrium, and the sample size, on the accuracy for haplotype inference. We also compare these methods with a widely used method for haplotype inference from unrelated individuals, PHASE, by treating individuals within a pedigree as unrelated samples. This comparison allows us to investigate the relative efficiency in haplotype inference using pedigree data. Our results indicate that incorporation of pedigree information can improve the precision for haplotype frequency estimation and the accuracy for haplotype reconstruction. Among four haplotyping methods capable of analyzing general pedigrees, HAPLORE and MERLIN have comparable performance and outperform the other two methods in almost all situations.

Rapid and reliable genotyping of polymorphic loci modifying correct splicing of CFTR pre-mRNA using mass spectrometry

We describe a fast and unambiguous method for haplotyping the (TG)mTn repeat in IVS8 and determining three other single nucleotide polymorphisms (SNPs) in exons 10, 14a and 24 in the cystic fibrosis transmembrane conductance regulator (CFTR) gene affecting correct splicing of the CFTR pre-mRNA using primer extension and mass spectrometry. The diagnostic products are generated by primer extension (PEX) reactions, which require a single detection primer complementary to a region downstream of a target strand's variable site. On addition of a polymerase and an appropriate mixture of dNTP's and 2', 3'-dideoxynucleotide triphosphates (ddNTP's), the primer is extended through the mutation region until the first ddNTP is incorporated and the mass of the extension products determines the composition of the variable site. Analysis of patient DNA assigned the correct and unambiguous haplotype for the (TG)mTn repeat in intron 8 of the CFTR gene. Additional crucial SNPs influencing correct splicing in exon 10, 14 and 24 can easily be detected by biplexing the assay to genotype allelic variants important for correct splicing of the CFTR pre-mRNA. Different PEX reactions with subsequent mass spectrometry generate sufficient data, to enable unambiguous and easy haplotyping of the (TG)mTn repeat in the CFTR gene. The method can be easily extended to the inclusion of additional SNPs of interest by biplexing some of the PEX reactions. All experimental steps required for PEX are amenable to the high degree of automation desirable for a high-throughput diagnostic setting, facilitating the work of clinicians involved in the diagnosis of non-classic cystic fibrosis.

Matrix-assisted laser desorption/ionisation, time-of-flight mass spectrometry in genomics research

The beginning of this millennium has seen dramatic advances in genomic research. Milestones such as the complete sequencing of the human genome and of many other species were achieved and complemented by the systematic discovery of variation at the single nucleotide (SNP) and whole segment (copy number polymorphism) level. Currently most genomics research efforts are concentrated on the production of whole genome functional annotations, as well as on mapping the epigenome by identifying the methylation status of CpGs, mainly in CpG islands, in different tissues. These recent advances have a major impact on the way genetic research is conducted and have accelerated the discovery of genetic factors contributing to disease. Technology was the critical driving force behind genomics projects: both the combination of Sanger sequencing with high-throughput capillary electrophoresis and the rapid advances in microarray technologies were keys to success. MALDI-TOF MS–based genome analysis represents a relative newcomer in this field. Can it establish itself as a long-term contributor to genetics research, or is it only suitable for niche areas and for laboratories with a passion for mass spectrometry? In this review, we will highlight the potential of MALDI-TOF MS–based tools for resequencing and for epigenetics research applications, as well as for classical complex genetic studies, allele quantification, and quantitative gene expression analysis. We will also identify the current limitations of this approach and attempt to place it in the context of other genome analysis technologies.

DNA analysis by mass spectrometry-past, present and future

The analysis of deoxyribose nucleic acid (DNA) by mass spectrometry (MS) has evolved to where it can be used to analyze most known types of DNA and ribose nucleic acid (RNA) situations. It can efficiently deal with the analysis of DNA polymorphisms, sequences, haplotypes, human leukocyte antigen (HLA) typing, DNA methylation and RNA expression. Implementations of MS for these forms of DNA analyses are reviewed. The use of DNA analysis by MS is compared with competing technologies. Finally, an overview is given of worthwhile applications where the know-how gained so far could be used for future developments.

Association analysis of polymorphisms in serotonin 1B receptor (HTR1B) gene with heroin addiction: a comparison of molecular and statistically estimated haplotypes

OBJECTIVES

5-Hydroxytryptamine (serotonin)-1B receptors (HTR1B) may play an important role in psychiatric disorders and drug and alcohol dependence. In this study we report on genotype, molecular haplotype and statistically estimated haplotype analyses of previously identified polymorphisms in positions -261T>G, -161A>T, 129C>T, 861G>C and 1180A>G of the HTR1B gene in ethnically diverse populations (African-Americans, Caucasians, Hispanics and Asians) including 235 former heroin addicts and 161 control subjects from New York City. The objectives were to test for an association of molecular and statistically estimated haplotypes and genotypes in HTR1B gene with heroin addiction and to compare results provided by molecular and statistically estimated haplotyping methods.

METHODS

Genotype analysis was performed using a standard TaqMan protocol. Molecular haplotype analysis of the subset of polymorphisms consisting of -261T>G, -161A>T and 129C>T was performed using a protocol specially designed by our group, using fluorescent PCR. This is based on use of allele-specific primers complementary to flanking polymorphisms and a fluorescently labeled sequence-specific TaqMan probe set complementary to an internal polymorphism of the haplotype region. Every individual's statistically inferred haplotype pair agreed with the individual's haplotype pair determined by molecular haplotyping.

RESULTS AND CONCLUSION

A point-wise significant association of haplotype pairs containing allele G at position 1180 with protective effect from heroin addiction in Caucasians was found. A point-wise nominally significant association of allele 1180G with a protective effect from heroin addiction was found in Caucasians. Statistically significant differences across four ethnic groups in control subjects for allelic frequencies of -261T>G and -161A>T were found.

Typing of single nucleotide polymorphisms by MALDI mass spectrometry: Principles and diagnostic applications

BACKGROUND

After the completion of the human genome sequencing project human genetics has now shifted its focus to DNA variation. DNA variation analysis is considered to be a key in partly understanding the mechanisms of complex diseases or varying patient responses in drug treatment. One of the major goals in genetics is finding the DNA variants that can act as diagnostic markers for predisposition to specific diseases. Moreover, in microbiology DNA variation has long been known to help discriminate and identify bacterial strains and viruses. Diagnostics based on DNA or RNA detection might be advantageous as an early-stage indication can be provided.

METHODS

Many simple and efficient methods for the analysis of nucleic acids are already available. Consequently, the last few years have seen an increased in the use of large-scale analysis of nucleic acids, in basic DNA variation studies along with diagnostics. Mass spectrometry techniques such as matrix-assisted laser desorption/ionization (MALDI) and electrospray ionization (ESI) can be of great use for genome variation analysis. In particular high-throughput SNP analysis by MALDI can be performed using fully integrated platforms.

CONCLUSIONS

Mass spectrometry-based procedures have promise for SNPs analysis especially for clinical diagnostics.

Touchdown thermocycling program enables a robust single nucleotide polymorphism typing method based on allele-specific real-time polymerase chain reaction

Different methods have been developed for single nucleotide polymorphism (SNP) typing during recent years. Allele-specific polymerase chain reaction (ASPCR) is a cost-saving method that scores SNPs by difference of the PCR efficiency of allele-specific primers. However, ASPCR for SNP typing is notoriously confounded for its locus-specific unpredictability and the laborious gel electrophoresis. In the current study, we investigated the real-time kinetics of ASPCR and found that a simple touchdown thermocycling protocol improved its specificity significantly. Combined with real-time PCR, we developed a homogeneous genotyping method and scored more than 1000 genotypes, including all transition and transversion SNPs. A clear genotyping result was identified and validated the robustness of the method. Optimization of reactions and intrinsic modification of allele-specific primers, a laborious process but one that is repeatedly reported to be inevitable for successful ASPCR, was proved to be unnecessary with our method. Accuracy was confirmed with mass spectrometry. These characters enabled real-time ASPCR with the touchdown thermocycling protocol being very competitive among various SNP typing methods for large-scale genetic studies.

Miniaturization in functional genomics and proteomics

Proteins are the key components of the cellular machinery responsible for processing changes that are ordered by genomic information. Analysis of most human proteins and nucleic acids is important in order to decode the complex networks that are likely to underlie many common diseases. Significant improvements in current technology are also required to dissect the regulatory processes in high-throughtput and with low cost. Miniaturization of biological assays is an important prerequisite to achieve these goals in the near future.

Genotyping single nucleotide polymorphisms by MALDI mass spectrometry in clinical applications

Matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) mass spectrometry has become one of the most powerful and widely applied technologies for SNP scoring and determination of allele frequencies in the post-genome sequencing era. Although different strategies for allele discrimination combined with MALDI were devised, in practice only primer extension methods are nowadays routinely used. This combination enables the rapid, quantitative, and direct detection of several genetic markers simultaneously in a broad variety of biological samples. In the field of molecular diagnostics, MALDI has been applied to the discovery of genetic markers, that are associated with a phenotype like a disease susceptibility or drug response, as well as an alternative means for diagnostic testing of a range of diseases for which the responsible mutations are already known. It is one of the first techniques with which whole genome scans based on single nucleotide polymorphisms were carried out. It is equally well suited for pathogen identification and the detection of emerging mutant strains as well as for the characterization of the genetic identity and quantitative trait loci mapping in farm animals. MALDI can also be used as a detection platform for a range of novel applications that are more demanding than standard SNP genotyping such as mutation/polymorphism discovery, molecular haplotyping, analysis of DNA methylation, and expression profiling. This review gives an introduction to the application of mass spectrometry for DNA analysis, and provides an overview of most studies using SNPs as genetic markers and MALDI mass spectrometric detection that are related to clinical applications and molecular diagnostics. Further, it aims to show specialized applications that might lead to diagnostic applications in the future. It does not speculate on whether this methodology will ever reach the diagnostic market.

Direct molecular haplotyping by melting curve analysis of hybridization probes: beta 2-adrenergic receptor haplotypes as an example

Direct determination of the association of multiple genetic polymorphisms, or haplotyping, in individual samples is challenging because of chromosome diploidy. Here, we describe the ability of hybridization probes, commonly used as genotyping tools, to establish single nucleotide polymorphism (SNP) haplotypes in a single step. Three haplotypes found in the beta 2-adrenergic receptor (beta2AR) gene and characterized by three different SNPs combinations are presented as examples. Each combination of SNPs has a unique stability, recorded by its melting temperature, even when intervening sequences from the template must loop out during probe hybridization. In the course of this study, two haplotypes in beta2AR not described previously were discovered. This approach provides a tool for molecular haplotyping that should prove useful in clinical molecular genetics diagnostics and pharmacogenetic research where methods for direct haplotyping are needed.

A comprehensive literature review of haplotyping software and methods for use with unrelated individuals

Interest in the assignment and frequency analysis of haplotypes in samples of unrelated individuals has increased immeasurably as a result of the emphasis placed on haplotype analyses by, for example, the International HapMap Project and related initiatives. Although there are many available computer programs for haplotype analysis applicable to samples of unrelated individuals, many of these programs have limitations and/or very specific uses. In this paper, the key features of available haplotype analysis software for use with unrelated individuals, as well as pooled DNA samples from unrelated individuals, are summarised. Programs for haplotype analysis were identified through keyword searches on PUBMED and various internet search engines, a review of citations from retrieved papers and personal communications, up to June 2004. Priority was given to functioning computer programs, rather than theoretical models and methods. The available software was considered in light of a number of factors: the algorithm(s) used, algorithm accuracy, assumptions, the accommodation of genotyping error, implementation of hypothesis testing, handling of missing data, software characteristics and web-based implementations. Review papers comparing specific methods and programs are also summarised. Forty-six haplotyping programs were identified and reviewed. The programs were divided into two groups: those designed for individual genotype data (a total of 43 programs) and those designed for use with pooled DNA samples (a total of three programs). The accuracy of programs using various criteria are assessed and the programs are categorised and discussed in light of: algorithm and method, accuracy, assumptions, genotyping error, hypothesis testing, missing data, software characteristics and web implementation. Many available programs have limitations (eg some cannot accommodate missing data) and/or are designed with specific tasks in mind (eg estimating haplotype frequencies rather than assigning most likely haplotypes to individuals). It is concluded that the selection of an appropriate haplotyping program for analysis purposes should be guided by what is known about the accuracy of estimation, as well as by the limitations and assumptions built into a program.

Long-range (17.7 kb) allele-specific polymerase chain reaction method for direct haplotyping of R117H and IVS-8 mutations of the cystic fibrosis transmembrane regulator gene

Genotyping of genetic polymorphisms is widely used in clinical molecular laboratories to confirm or predict diseases due to single locus mutations. In contrast, very few molecular methods determine the phase or haplotype of two or more mutations that are kilobases apart. In this report, we describe a new method for haplotyping based on long-range allele-specific PCR. Reaction conditions were established to circumvent the incompatibility of using allele-specific primers and a polymerase with proofreading activity. Haplotypes are determined by post-PCR analysis using different detection methods. The clinical application presented here directly determines the phase of two mutations separated by 17.7 kilobases in the cystic fibrosis transmembrane conductance regulator gene. Each mutation, the missense mutation R117H in exon 4 and the 5T polymorphism in intron 8 (IVS-8), have mild phenotypic effect unless they are present on the same chromosome (in cis). If an individual is heterozygous for both R117H and the IVS-8 5T variant, cis/trans testing is required to completely interpret results. The molecular method presented here bypasses the need to perform family studies to establish haplotypes. We propose use of this assay as a reflex clinical test for R117H- 5T-positive samples.

Direct determination of MUC5B promoter haplotypes based on the method of single-strand conformation polymorphism and their statistical estimation

Haplotype-based human genome research is important in identifying disease susceptibility genes efficiently. Although haplotype reconstruction by statistical methods is widely used, direct haplotype determination by molecular techniques has also been developed as a complementary method for statistical estimation. In this study, we demonstrate a molecular haplotyping method making use of single-strand conformation polymorphism (SSCP) gels. We identified 10 common SNPs and a dinucleotide insertion/deletion polymorphism within 2-kb region upstream of the transcription initiation site of MUC5B and determined haplotype structure, dividing the region into two DNA fragments. Real haplotypes were determined unambiguously by our SSCP-based analysis with fragments longer than 1 kb. Haplotypes reconstructed from diploid genotypes in the same region by the statistical methods including EM algorithm were also evaluated. Direct comparison between statistical estimation and direct determination of haplotypes revealed that major haplotypes containing multiple marker sites showing strong LD are estimated in great accuracy but that a variety of haplotypes reflecting weak LD are not reconstructed precisely enough. Our data can be helpful in implementing molecular haplotyping or statistical estimation, since usage of these methods may be determined depending on the haplotype structures.

MALDI-TOF mass spectrometry: a versatile tool for high-performance DNA analysis

Matrix-assisted laser desorption/ionization (MALDI) time-of-flight (TOF) mass spectrometry (MS) has developed during the past decade into a versatile tool for biopolymer analysis. The aim of this review is to summarize this development and outline the applications, which have been enabled for routine use in the field of nucleic acid analysis. These include the analysis of mutations, the resequencing of amplicons with a known reference sequence, and the quantitative analysis of gene expression and allelic frequencies in complex DNA mixtures.

DNA analysis by MALDI-TOF mass spectrometry

The last decade has seen an increased demand for high-throughput DNA analysis. This is mainly due to the human genome sequencing project that is now completed. Matrix-assisted laser desorption ionization time-of-flight (MALDI-TOF) mass spectrometry was pinpointed early on as a technology that could be of great use for sequence variation analysis in the post-genome sequencing era. Applications developed first on this platform were for SNP genotyping. Several strategies for allele-discrimination (hybridization, cleavage, ligation, and primer extension) were combined with MALDI-TOF mass spectrometric detection. Nowadays, in practice, only primer extension methods are applied for large-scale SNP genotyping studies with MALDI-TOF detection. Problems surrounding the integration of SNP genotyping by MALDI-TOF mass spectrometry at high throughput are largely mastered now. Mass spectrometry geared presentations at the HUGO Mutation Detection Meeting in Palm Cove, Australia almost exclusively focused on novel applications that go beyond standard SNP genotyping. These applications are more demanding in terms of chemistry and molecular biology. Molecular haplotyping, expression profiling, DNA methylation analysis, and mutation detection are now being demonstrated.

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.

Hairpin primers for simplified single-nucleotide polymorphism analysis of Mycobacterium tuberculosis and other organisms

We describe a novel, simple, rapid, and highly sensitive method to detect single-nucleotide polymorphisms (SNPs) in Mycobacterium tuberculosis and other organisms. Amplification refractory mutation (ARMS) SNP assays were modified by converting the SNP-detecting linear primers in the ARMS assay to hairpin-shaped primers (HPs) through the addition of a 5' tail complementary to the 3' end of the linear primer. The improved ability of these primers to detect SNPs in M. tuberculosis was compared in a real-time PCR with SYBR-I green dye. Linear primers resulted in incorrect or indeterminate allele designation for 6 of the 13 SNP alleles tested in seven different SNP assays, while HPs determined the correct SNP in all cases. We compared the cycle threshold differences (DeltaC(t)) between the reactions containing primer-template matches and the reactions containing primer-template mismatches (where a larger DeltaC(t) indicates a more robust assay). The use of HPs dramatically improved the mean DeltaC(t) values for the SNP assays (7.6 for linear primers and 11.2 for HPs). We designed 98 different HP assays for SNPs previously associated with resistance to the antibiotic isoniazid to test the large-scale utility of the HP approach. Assay design was successful in 72.4%, 83.7%, 88.8%, and 92.9% of the assays after one to four rounds of assay design, respectively. HP SNP assays are simple, sensitive, robust, and inexpensive. These advantages favor the application of this technique for SNP assays of M. tuberculosis and other organisms.

Protein Profiling in Brain Tumors Using Mass Spectrometry

PURPOSE

The purpose of this research was to perform a preliminary assessment of protein patterns in primary brain tumors using a direct-tissue mass spectrometric technique to profile and map biomolecules.

EXPERIMENTAL DESIGN

We examined 20 prospectively collected, snap-frozen normal brain and brain tumor specimens using matrix-assisted laser desorption/ionization (MALDI) mass spectrometry (MS), and compared peptide and protein expression in primary brain tumor and nontumor brain tissues.

RESULTS

MS can be used to identify protein expression patterns in human brain tissue and tumor specimens. The mass spectral patterns can reliably identify glial neoplasms of similar histological grade and differentiate them from tumors of different histological grades as well as from nontumor brain tissues. Initial bioinformatics cluster analysis algorithms classified tumor and nontumor tissues into similar groups comparable with their histological grade.

CONCLUSIONS

We describe a novel tool for the analysis of protein expression patterns in human glial neoplasms. Initial results demonstrate that MALDI-MS technology can significantly aid in the process of unraveling and understanding the molecular complexities of gliomas. MALDI-MS accurately and reliably identified normal and neoplastic tissues, and could be used to discriminate between tumors of increasing grades.

Clone-based systematic haplotyping (CSH): a procedure for physical haplotyping of whole genomes

We present a novel methodology to determine the phase of single-nucleotide polymorphisms (SNPs) on a chromosome, which we term clone-based systematic haplotyping (CSH). The CSH procedure is based on separating the allelic chromosomes of a diploid genome by fosmid/cosmid cloning, and subsequent SNP typing of 96 clone pools, each representing approximately 10% of the genome. The pools are screened by PCR for the sequence of interest, followed by SNP typing on the PCR products using the GOOD assay. We demonstrate that by CSH, the haplotype of SNPs separated by more than 50 kilobases can definitely be assigned. We propose this method as being suitable for constructing maps of ancestral haplotypes, analysis of complex diseases, and for diagnosis of rare defects in which the molecular haplotype is crucial. In addition, by amplifying the initial DNA by many orders of magnitude, the original DNA resource is effectively immortalized, enabling the haplotyping of hundreds of thousands of SNPs per individual.

Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry in clinical chemistry

Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-Tof-MS) has recently become a popular and versatile method to analyze macromolecules from biological origin. In this paper, we will review the application of MALDI-Tof-MS in clinical chemistry and biology. MALDI-Tof-MS is used in clinical chemistry, e.g. disease markers can be identified with MALDI-MS analysis in combination with 1-D and 2-D gel electrophoresis separations thanks to either peptide mass fingerprinting (PMF) or peptide sequence tag (PST) followed by data base searching. In microbiology, MALDI-Tof-MS is employed to analyze specific peptides or proteins directly desorbed from intact viruses, bacteria and spores. The capability to register biomarker ions in a broad m/z range, which are unique and representative for individual microorganisms, forms the basis of taxonomic identification of bacteria by MALDI-Tof-MS. Moreover, this technique can be applied to study either the resistance of bacteria to antibiotics or the antimicrobial compounds secreted by other bacterial species. More recently, the method was also successfully applied to DNA sequencing (genotyping) as well as screening for mutations. High-throughput genotyping of single-nucleotide polymorphisms has the potential to become a routine method for both laboratory and clinical applications. Moreover, posttranscriptional modifications of RNA can be analyzed by MALDI using nucleotide-specific RNAses combined with further fragmentation by post source decay (PSD).

A microarray-based high throughput molecular marker genotyping method: the tagged microarray marker (TAM) approach

A microarray-based method has been developed for scoring thousands of DNAs for a co-dominant molecular marker on a glass slide. The approach was developed to detect insertional polymorphism of transposons and works well with single nucleotide polymorphism (SNP) markers. Biotin- terminated allele-specific PCR products are spotted unpurified onto streptavidin-coated glass slides and visualised by hybridisation of fluorescent detector oligonucleotides to tags attached to the allele- specific PCR primers. Two tagged primer oligonucleotides are used per locus and each tag is detected by hybridisation to a concatameric DNA probe labelled with multiple fluorochromes.

Direct molecular haplotyping of long-range genomic DNA with M1-PCR

Haplotypes, combinations of several phase-determined polymorphic markers, are extremely valuable for studies of disease association and chromosome evolution. Here we describe a technique called M1-PCR (M for "multiplex" and 1 for "single-copy DNA molecules") that enables direct molecular haplotyping of several polymorphic markers separated by as many as 24 kb. A genomic DNA sample first is diluted to approximately single-copy. The haplotype is directly determined by simultaneously genotyping several polymorphic markers in the same reaction with a multiplex PCR and base extension reaction. This approach does not rely on pedigree data and does not require previous amplification of the entire genomic region containing the selected markers.

MALDI mass spectrometry analysis of single nucleotide polymorphisms by photocleavage and charge-tagging

High-throughput procedures are an important requirement for future large-scale genetic studies such as genotyping of single nucleotide polymorphisms (SNPs). Matrix-assisted laser desorption/ ionisation mass spectrometry (MALDI-MS) has revolutionised the analysis of biomolecules and, in particular, provides a very attractive solution for the rapid typing of DNA. The analysis of DNA by MALDI can be significantly facilitated by a procedure termed 'charge-tagging'. We show here a novel approach for the generation of charge-tagged DNA using a photocleavable linker and its implementation in a molecular biological procedure for SNP genotyping consisting of PCR, primer extension, photocleavage and a chemical reaction prior to MALDI target preparation and analysis. The reaction sequence is amenable to liquid handling automation and requires no stringent purification procedures. We demonstrate this new method on SNPs in two genes involved in complex traits.

Analysis and accurate quantification of CpG methylation by MALDI mass spectrometry

As the DNA sequence of the human genome is now nearly finished, the main task of genome research is to elucidate gene function and regulation. DNA methylation is of particular importance for gene regulation and is strongly implicated in the development of cancer. Even minor changes in the degree of methylation can have severe consequences. An accurate quantification of the methylation status at any given position of the genome is a powerful diagnostic indicator. Here we present the first assay for the analysis and precise quantification of methylation on CpG positions in simplex and multiplex reactions based on matrix-assisted laser desorption/ ionisation mass spectrometry detection. Calibration curves for CpGs in two genes were established and an algorithm was developed to account for systematic fluctuations. Regression analysis gave R(2) >or= 0.99 and standard deviation around 2% for the different positions. The limit of detection was approximately 5% for the minor isomer. Calibrations showed no significant differences when carried out as simplex or multiplex analyses. All variable parameters were thoroughly investigated, several paraffin-embedded tissue biopsies were analysed and results were verified by established methods like analysis of cloned material. Mass spectrometric results were also compared to chip hybridisation.

Genotyping single nucleotide polymorphisms by mass spectrometry

In the last decade, the demand for high-throughput DNA analysis methods has dramatically increased, mainly due to the advent of the human genome sequencing project that is now nearing completion. Even though mass spectrometry did not contribute to that project, it is clear that it will have an important role in the post-genome sequencing era, in genomics and proteomics. In genomics, mainly matrix-assisted laser desorption/ionization (MALDI) mass spectrometry will contribute to large-scale single nucleotide polymorphism (SNP) genotyping projects. Here, the development and history of DNA analysis by mass spectrometry is reviewed and put into the context with the requirements of genomics. All major contributions to the field and their status and limitations are described in detail.