A system for specific, high-throughput genotyping by allele-specific primer extension on microarrays

In situ enzymatic template replication on DNA microarrays

DNA microarrays are very useful tools to study the realm of nucleic acids interactions at high throughput. The conventional approach to microarray synthesis employs phosphoramidite chemistry and yields unmodified DNA generally attached to a surface at the 3' terminus. Having a freely accessible 3'-OH instead of 5'-OH is desirable too, and being able to introduce nucleoside analogs in a combinatorial manner is highly relevant in the context of nucleic acid therapeutics and in aptamer research. Here, we describe an enzymatic approach to the synthesis of high-density DNA microarrays that can also contain chemical modifications. The method uses a standard DNA microarray, to which a DNA primer is covalently bound through photocrosslinking. The extension of the primer with a DNA polymerase yields double-stranded DNA but is also amenable to the incorporation of modified dNTPs. Further processing with T7 exonuclease, which catalyzes the degradation of DNA in a specific (5'→3') direction, results in template strand removal. Overall, the method produces surface-bound natural and non-natural DNA oligonucleotides, is applicable to commercial microarrays and paves the way for the preparation of combinatorial, chemically modified aptamer libraries.

Rapid Genetic Diagnosis for Okinawan Patients with Enlarged Vestibular Aqueduct Using Single-Stranded Tag Hybridization Chromatographic Printed-Array Strip

Both Pendred syndrome (PS) and nonsyndromic hearing loss with an enlarged vestibular aqueduct (EVA) are autosomal recessive disorders caused by SLC26A4 pathogenic variants. The spectrum of SLC26A4 pathogenic variants varies with the ethnic background. Among the patients with EVA in Okinawa, 94% had some combination of NM_000441.2(SLC26A4):c.1707+5G>A and NM_000441.2(SLC26A4):c.2168A>G(p.His723Arg), the two SLC26A4 pathogenic variants that are the most common in this population. We identified these two pathogenic variants using a novel genotyping method that employed an allele-specific polymerase chain reaction (PCR) from a gDNA and single-stranded tag hybridization chromatographic printed-array strip (STH-PAS) in DNA samples obtained from 48 samples in Okinawa, including 34 patients with EVA and 14 carriers of c.1707+5G>A or c.2168A>G. In addition, whole blood and saliva samples were used for analysis in this genotyping method with direct PCR. The results of STH-PAS genotyping were consistent with those obtained using standard Sanger sequencing for all samples. The accuracy of the STH-PAS method is 100% under the optimized conditions. STH-PAS genotyping provided a diagnosis in 30 out of 34 patients (88%) in Okinawan patients with EVA in under 3 h. The turn-around time for STH-PAS genotyping used with direct PCR was 2 h as a result of the omission of the DNA extraction and purification steps. Using information about the ethnic distribution of pathogenic variants in the SLC26A4 gene, STH-PAS genotyping performs a rapid genetic diagnosis that is simple and has a considerably improved efficiency.

Effect of Protein Genotypes on Physicochemical Properties and Protein Functionality of Bovine Milk: A Review

Milk protein comprises caseins (CNs) and whey proteins, each of which has different genetic variants. Several studies have reported the frequencies of these genetic variants and the effects of variants on milk physicochemical properties and functionality. For example, the C variant and the BC haplotype of αS1-casein (αS1-CN), β-casein (β-CN) B and A1 variants, and κ-casein (κ-CN) B variant, are favourable for rennet coagulation, as well as the B variant of β-lactoglobulin (β-lg). κ-CN is reported to be the only protein influencing acid gel formation, with the AA variant contributing to a firmer acid curd. For heat stability, κ-CN B variant improves the heat resistance of milk at natural pH, and the order of heat stability between phenotypes is BB > AB > AA. The A2 variant of β-CN is more efficient in emulsion formation, but the emulsion stability is lower than the A1 and B variants. Foaming properties of milk with β-lg variant B are better than A, but the differences between β-CN A1 and A2 variants are controversial. Genetic variants of milk proteins also influence milk yield, composition, quality and processability; thus, study of such relationships offers guidance for the selection of targeted genetic variants.

Rapid repair of human disease-specific single-nucleotide variants by One-SHOT genome editing

Many human diseases ranging from cancer to hereditary disorders are caused by single-nucleotide mutations in critical genes. Repairing these mutations would significantly improve the quality of life for patients with hereditary diseases. However, current procedures for repairing deleterious single-nucleotide mutations are not straightforward, requiring multiple steps and taking several months to complete. In the current study, we aimed to repair pathogenic allele-specific single-nucleotide mutations using a single round of genome editing. Using high-fidelity, site-specific nuclease AsCas12a/Cpf1, we attempted to repair pathogenic single-nucleotide variants (SNVs) in disease-specific induced pluripotent stem cells. As a result, we achieved repair of the Met918Thr SNV in human oncogene RET with the inclusion of a single-nucleotide marker, followed by absolute markerless, scarless repair of the RET SNV with no detected off-target effects. The markerless method was then confirmed in human type VII collagen-encoding gene COL7A1. Thus, using this One-SHOT method, we successfully reduced the number of genetic manipulations required for genome repair from two consecutive events to one, resulting in allele-specific repair that can be completed within 3 weeks, with or without a single-nucleotide marker. Our findings suggest that One-SHOT can be used to repair other types of mutations, with potential beyond human medicine.

Enzymatic Synthesis of Designer DNA Using Cyclic Reversible Termination and a Universal Template

Phosphoramidite chemistry remains the industry standard for DNA synthesis despite significant limitations on the length and yield of the oligonucleotide, time restrictions, and hazardous waste production. Herein, we demonstrate the synthesis of single-stranded oligos on a solid surface by DNA polymerases and reverse transcriptases. We report the extension of surface-bound oligonucleotides enabled by transient hybridization of as few as two bases to a neighboring strand. When multiple hybridization structures are possible, each templating a different base, a DNA polymerase or reverse transcriptase can extend the oligonucleotide with any of the complementary bases. Therefore, the sequence of the newly synthesized fragment can be controlled by adding only the desired base as a substrate to the reaction solution. We used this enzymatic approach to synthesize a 20 base oligonucleotide by incorporating reversible terminator dNTPs through a two-step cyclic reversible termination process with a corrected stepwise efficiency over 98%. In our approach, a nascent DNA strand that serves as both primer and template is extended through polymerase-controlled sequential addition of 3'-reversibly blocked nucleotides followed by subsequent cleavage of the 3'-capping group. This process enables oligonucleotide synthesis in an environment not permitted by traditional phosphoramidite methods, eliminates the need for hazardous chemicals, has the potential to provide faster and higher yield results, and synthesizes DNA on a solid support with a free 3' end.

Hereditary hyperferritinaemia-cataract syndrome (HHCS) – an underestimated condition: ferritin light chain variant spectrum in German families

Background

In hereditary hyperferritinaemia-cataract syndrome (HHCS), single nucleic acid alterations in the ferritin light chain (L-ferritin) iron response element (IRE) constitutively derepress ferritin synthesis, resulting in hyperferritinaemia, L-ferritin deposits in the lens of the eye and early bilateral cataract onset.

Methods

In this study, six German families with putative HHCS were analysed. Clinical diagnosis of HHCS was based on medical history, evaluation of ferritin serum levels, transferrin saturation and clinical ophthalmological examination. Diagnosis was confirmed by polymerase chain reaction (PCR)-based DNA sequencing of the L-ferritin IRE.

Results

Genetic analysis of the L-ferritin IRE revealed relevant single nucleic acid alterations in each of the affected families. Variants c.-168G > A, c.-168G > U and c.-167C > U were located in the C-bulge region; and variants c.-161C > U and c.-157G > A were located in the hexanucleotide loop of the L-ferritin IRE.

Conclusions

Family history of hyperferritinaemia and juvenile cataracts are strong indicators of HHCS. Genetic analysis of the L-ferritin IRE is a straightforward procedure to confirm the diagnosis. Accurate diagnosis of hyperferritinaemia can avoid unnecessary treatment by venesection, and focus attention on early cataract detection in offspring at risk.

Toward fast and accurate SNP genotyping from whole genome sequencing data for bedside diagnostics

Motivation

Genotyping a set of variants from a database is an important step for identifying known genetic traits and disease-related variants within an individual. The growing size of variant databases as well as the high depth of sequencing data poses an efficiency challenge. In clinical applications, where time is crucial, alignment-based methods are often not fast enough. To fill the gap, Shajii et al. propose LAVA, an alignment-free genotyping method which is able to more quickly genotype single nucleotide polymorphisms (SNPs); however, there remains large room for improvements in running time and accuracy.

Results

We present the VarGeno method for SNP genotyping from Illumina whole genome sequencing data. VarGeno builds upon LAVA by improving the speed of k-mer querying as well as the accuracy of the genotyping strategy. We evaluate VarGeno on several read datasets using different genotyping SNP lists. VarGeno performs 7-13 times faster than LAVA with similar memory usage, while improving accuracy.

Availability and implementation

VarGeno is freely available at: https://github.com/medvedevgroup/vargeno.

Supplementary information

Supplementary data are available at Bioinformatics online.

Fabrication of Inverted High-Density DNA Microarrays in a Hydrogel

Current techniques for making high-resolution, photolithographic DNA microarrays suffer from the limitation that the 3' end of each sequence is anchored to a hard substrate and hence is unavailable for many potential enzymatic reactions. Here, we demonstrate a technique that inverts the entire microarray into a hydrogel. This method preserves the spatial fidelity of the original pattern while simultaneously removing incorrectly synthesized oligomers that are inherent to all other microarray fabrication strategies. First, a standard 5'-up microarray on a donor wafer is synthesized, in which each oligo is anchored with a cleavable linker at the 3' end and an Acrydite phosphoramidite at the 5' end. Following the synthesis of the array, an acrylamide monomer solution is applied to the donor wafer, and an acrylamide-silanized acceptor wafer is placed on top. As the polyacrylamide hydrogel forms between the two wafers, it covalently incorporates the acrydite-terminated sequences into the matrix. Finally, the oligos are released from the donor wafer upon immersing in an ammonia solution that cleaves the 3'-linkers, thus freeing the oligos at the 3' end. The array is now presented 3'-up on the surface of the gel-coated acceptor wafer. Various types of on-gel enzymatic reactions demonstrate a versatile and robust platform that can easily be constructed with far more molecular complexity than traditional photolithographic arrays by endowing the system with multiple enzymatic substrates. We produce a new generation of microarrays where highly ordered, purified oligos are inverted 3'-up, in a biocompatible soft hydrogel, and functional with respect to a wide variety of programable enzymatic reactions.

Genetic Association and Altered Gene Expression of CYBB in Multiple Sclerosis Patients

Multiple sclerosis (MS) is a chronic neurological disorder characterized by inflammation, demyelination, and axonal damage. Increased levels of reactive oxygen species (ROS), produced by macrophages and leading to oxidative stress, have been implicated as mediators of demyelination and axonal injury in both MS and experimental autoimmune encephalomyelitis, the murine model of the disease. On the other hand, reduced ROS levels can increase susceptibility to autoimmunity. In this work, we screened for association with MS 11 single nucleotide polymorphisms (SNPs) and two microsatellite markers in the five genes (NCF1, NCF2, NCF4, CYBA, and CYBB) of the nicotinamide adenine dinucleotide phosphate (NADPH) oxidase (NOX2) system, the enzymatic pathway producing ROS in the brain and neural tissues, in 347 Finnish patients with MS and 714 unaffected family members. This analysis showed suggestive association signals for NCF1 and CYBB (lowest p = 0.038 and p = 0.013, respectively). Functional relevance for disease predisposition was further supported for the CYBB gene, by microarray analysis in CD4^+/− mononuclear cells of 21 individuals from five Finnish multiplex MS families, as well as by real-time RT-PCRs performed on RNA extracted from peripheral blood mononuclear cells of an Italian replication cohort of 21 MS cases and 21 controls. Our results showed a sex-specific differential expression of CYBB, suggesting that this gene, and more in general the NOX2 system, deserve to be further investigated for their possible role in MS.

Finely Tunable Surface Wettability by Two-Dimensional Molecular Manipulation

Local molecular environment governs material interface properties, especially the substrate's exposing behavior and overall functionality expression. Although current techniques can provide efficient surface property modification, challenges in molecule spatial distribution and composition controls limited the generation of homogeneous and finely tunable molecular environment. In this study, Au-thiolate rupturing operation in chemical lift-off lithography (CLL) is used to manipulate the substrate interface molecular environment. The creation of randomly distributed artificial self-assembled monolayer defects generates vacancies for substrate property modification through back-insertion of molecules with opposite functionalities. Surface wettability adjustment is utilized as an example, where well-controllable molecule distribution provides finely tunable substrate affinity toward liquids with different physical properties. The distinct property difference between two surface regions assists microdroplet formation when liquids flow through, not only water solution but also low-surface-tension organic liquids. These microdroplet arrays become a template to guide material assembly in its formation process and act as pH-sensitive platforms for high-throughput detection. Furthermore, the tunability of the molecular pattern in this approach helps minimize the coffee-ring effect and the sweet-spot issue in matrix-assisted laser desorption/ionization mass spectrometry. Two-dimensional molecular manipulation in the CLL operation, therefore, holds the capability toward controlling homogeneous material surface property and toward exhibiting behavior adjustments.

High-Efficiency Reverse (5'→3') Synthesis of Complex DNA Microarrays

DNA microarrays are important analytical tools in genetics and have recently found multiple new biotechnological roles in applications requiring free 3' terminal hydroxyl groups, particularly as a starting point for enzymatic extension via DNA or RNA polymerases. Here we demonstrate the highly efficient reverse synthesis of complex DNA arrays using a photolithographic approach. The method is analogous to conventional solid phase synthesis but makes use of phosphoramidites with the benzoyl-2-(2-nitrophenyl)-propoxycarbonyl (BzNPPOC) photolabile protecting group on the 3'-hydroxyl group. The use of BzNPPOC, with more than twice the photolytic efficiency of the 2-(2-nitrophenyl)-propoxycarbonyl (NPPOC) previously used for 5'→3' synthesis, combined with additional optimizations to the coupling and oxidation reactions results in an approximately 3-fold improvement in the reverse synthesis efficiency of complex arrays of DNA oligonucleotides. The coupling efficiencies of the reverse phosphoramidites are as good as those of regular phosphoramidites, resulting in comparable yields. Microarrays of DNA surface tethered on the 5' end and with free 3' hydroxyl termini can be synthesized quickly and with similarly high stepwise coupling efficiency as microarrays using conventional 3'→5' synthesis.

Single Nucleotide Polymorphism Genotyping in Single-Molecule Electronic Circuits

Establishing low-cost, high-throughput, simple, and accurate single nucleotide polymorphism (SNP) genotyping techniques is beneficial for understanding the intrinsic relationship between individual genetic variations and their biological functions on a genomic scale. Here, a straightforward and reliable single-molecule approach is demonstrated for precise SNP authentication by directly measuring the fluctuations in electrical signals in an electronic circuit, which is fabricated from a high-gain field-effect silicon nanowire decorated with a single hairpin DNA, in the presence of different target DNAs. By simply comparing the proportion difference of a probe-target duplex structure throughout the process, this study implements allele-specific and accurate SNP detection. These results are supported by the statistical analyses of different dynamic parameters such as the mean lifetime and the unwinding probability of the duplex conformation. In comparison with conventional polymerase chain reaction and optical methods, this convenient and label-free method is complementary to existing optical methods and also shows several advantages, such as simple operation and no requirement for fluorescent labeling, thus promising a futuristic route toward the next-generation genotyping technique.

Fast genotyping of known SNPs through approximate k-mer matching

MOTIVATION

As the volume of next-generation sequencing (NGS) data increases, faster algorithms become necessary. Although speeding up individual components of a sequence analysis pipeline (e.g. read mapping) can reduce the computational cost of analysis, such approaches do not take full advantage of the particulars of a given problem. One problem of great interest, genotyping a known set of variants (e.g. dbSNP or Affymetrix SNPs), is important for characterization of known genetic traits and causative disease variants within an individual, as well as the initial stage of many ancestral and population genomic pipelines (e.g. GWAS).

RESULTS

We introduce lightweight assignment of variant alleles (LAVA), an NGS-based genotyping algorithm for a given set of SNP loci, which takes advantage of the fact that approximate matching of mid-size k-mers (with k = 32) can typically uniquely identify loci in the human genome without full read alignment. LAVA accurately calls the vast majority of SNPs in dbSNP and Affymetrix's Genome-Wide Human SNP Array 6.0 up to about an order of magnitude faster than standard NGS genotyping pipelines. For Affymetrix SNPs, LAVA has significantly higher SNP calling accuracy than existing pipelines while using as low as ∼5 GB of RAM. As such, LAVA represents a scalable computational method for population-level genotyping studies as well as a flexible NGS-based replacement for SNP arrays.

AVAILABILITY AND IMPLEMENTATION

LAVA software is available at http://lava.csail.mit.edu

CONTACT

bab@mit.edu

SUPPLEMENTARY INFORMATION

Supplementary data are available at Bioinformatics online.

The importance of gene-environment interactions in human obesity

The worldwide obesity epidemic has been mainly attributed to lifestyle changes. However, who becomes obese in an obesity-prone environment is largely determined by genetic factors. In the last 20 years, important progress has been made in the elucidation of the genetic architecture of obesity. In parallel with successful gene identifications, the number of gene-environment interaction (GEI) studies has grown rapidly. This paper reviews the growing body of evidence supporting gene-environment interactions in the field of obesity. Heritability, monogenic and polygenic obesity studies provide converging evidence that obesity-predisposing genes interact with a variety of environmental, lifestyle and treatment exposures. However, some skepticism remains regarding the validity of these studies based on several issues, which include statistical modelling, confounding, low replication rate, underpowered analyses, biological assumptions and measurement precision. What follows in this review includes (1) an introduction to the study of GEI, (2) the evidence of GEI in the field of obesity, (3) an outline of the biological mechanisms that may explain these interaction effects, (4) methodological challenges associated with GEI studies and potential solutions, and (5) future directions of GEI research. Thus far, this growing body of evidence has provided a deeper understanding of GEI influencing obesity and may have tremendous applications in the emerging field of personalized medicine and individualized lifestyle recommendations.

MICB Allele Genotyping on Microarrays by Improving the Specificity of Extension Primers

Major histocompatibility complex (MHC) class I chain-related gene B (MICB) encodes a ligand for activating NKG2D that expressed in natural killer cells, γδ T cells, and αβ CD8⁺ T cells, which is associated with autoimmune diseases, cancer, and infectious diseases. Here, we have established a system for genotyping MICB alleles using allele-specific primer extension (ASPE) on microarrays. Thirty-six high quality, allele-specific extension primers were evaluated using strict and reliable cut-off values using mean fluorescence intensity (MFI), whereby an MFI >30,000 represented a positive signal and an MFI <10,000 represented a negative signal. Eight allele-specific extension primers were found to be false positives, five of which were improved by adjusting their length, and three of which were optimized by refractory modification. The MICB alleles (*002:01, *003, *005:02/*010, *005:03, *008, *009N, *018, and *024) present in the quality control panel could be exactly defined by 22 allele-specific extension primers. MICB genotypes that were identified by ASPE on microarrays were in full concordance with those identified by PCR-sequence-based typing. In conclusion, we have developed a method for genotyping MICB alleles using ASPE on microarrays; which can be applicable for large-scale single nucleotide polymorphism typing studies of population and disease associations.

Microarrays for high-throughput genotyping of MICA alleles using allele-specific primer extension

The role of major histocompatibility complex (MHC) class I chain-related gene A (MICA), a ligand of NKG2D, has been defined in human diseases by its allele associations with various autoimmune diseases, hematopoietic stem cell transplantation (HSCT) and cancer. This study describes a practical system to develop MICA genotyping by allele-specific primer extension (ASPE) on microarrays. From the results of 20 control primers, strict and reliable cut-off values of more than 30,000 mean fluorescence intensity (MFI) as positive and less than 3000 MFI as negative, were applied to select high-quality specific extension primers. Among 55 allele-specific primers, 44 primers could be initially selected as optimal primer. Through adjusting the length, six primers were improved. The other failed five primers were corrected by refractory modification. MICA genotypes by ASPE on microarrays showed the same results as those by nucleotide sequencing. On the basis of these results, ASPE on microarrays may provide high-throughput genotyping for MICA alleles for population studies, disease-gene associations and HSCT.

An oligonucleotide-tagged microarray for routine diagnostics of colon cancer by genotyping KRAS mutations

Colorectal cancer (CRC) is one of the most prevalent types of cancer, causing significant morbidity and mortality worldwide. CRC is curable if diagnosed at an early stage. Mutations in the oncogene KRAS play a critical role in early development of CRC. Detection of activated KRAS is of diagnostic and therapeutic importance. In this study, KRAS gene fragments containing mutations in codon 12 were amplified by multiplex PCR using a 5'-Cy5-labeled reverse primer in combination with 3'-mutation-specific forward primers that were linked with four unique nucleotide-sequence tags at the 5'-end. The Cy5-labeled reverse primer was extended under PCR amplification to the 5'-end of the mutation-specific forward primers and thus included the complimentary sequence of the tag. PCR products were hybridized to tag-probes immobilized on various substrates and detected by a scanner. Our results indicate that all mutations at codon 12 of KRAS derived from cancer cells and clinical samples could be unambiguously detected. KRAS mutations were accurately detected when the mutant DNA was present only in 10% of the starting mixed materials including wild-type genomic DNA, which was isolated from either cancer cells or spiked fecal samples. The immobilized tag-probes were stable under multiple thermal cycling treatments, allowing re-use of the tag-microarray and further optimization to solid PCR. Our results demonstrated that a novel oligonucleotide-tagged microarray system has been developed which would be suitable to be used for detection of KRAS mutations and clinical diagnosis of CRC.

Computational and experimental approaches to reveal the effects of single nucleotide polymorphisms with respect to disease diagnostics

DNA mutations are the cause of many human diseases and they are the reason for natural differences among individuals by affecting the structure, function, interactions, and other properties of DNA and expressed proteins. The ability to predict whether a given mutation is disease-causing or harmless is of great importance for the early detection of patients with a high risk of developing a particular disease and would pave the way for personalized medicine and diagnostics. Here we review existing methods and techniques to study and predict the effects of DNA mutations from three different perspectives: in silico, in vitro and in vivo. It is emphasized that the problem is complicated and successful detection of a pathogenic mutation frequently requires a combination of several methods and a knowledge of the biological phenomena associated with the corresponding macromolecules.

Variants of a Thermus aquaticus DNA polymerase with increased selectivity for applications in allele- and methylation-specific amplification

The selectivity of DNA polymerases is crucial for many applications. For example, high discrimination between the extension of matched versus mismatched primer termini is desired for the detection of a single nucleotide variation at a particular locus within the genome. Here we describe the generation of thermostable mutants of the large fragment of Thermus aquaticus DNA polymerase (KlenTaq) with increased mismatch extension selectivity. In contrast to previously reported much less active KlenTaq mutants with mismatch discrimination abilities, many of the herein discovered mutants show conserved wild-type-like high activities. We demonstrate for one mutant containing the single amino acid exchange R660V the suitability for application in allele-specific amplifications directly from whole blood without prior sample purification. Also the suitability of the mutant for methylation specific amplification in the diagnostics of 5-methyl cytosines is demonstrated. Furthermore, the identified mutant supersedes other commercially available enzymes in human leukocyte antigen (HLA) analysis by sequence-specific primed polymerase chain reactions (PCRs).

Microfluidic bead-based enzymatic primer extension for single-nucleotide discrimination using quantum dots as labels

This study reports the development of an on-chip enzyme-mediated primer extension process based on a microfluidic device with microbeads array for single-nucleotide discrimination using quantum dots as labels. The functionalized microbeads were independently introduced into the arrayed chambers using the loading chip slab. A single channel was used to generate weir structures to confine the microbeads and make the beads array accessible by microfluidics. The applied allele-specific primer extension method employed a nucleotide-degrading enzyme (apyrase) to achieve specific single-nucleotide detection. Based on the apyrase-mediated allele-specific primer extension with quantum dots as labels, on-chip single-nucleotide discrimination was demonstrated with high discrimination specificity and sensitivity (0.5 pM, signal/noise > 3) using synthesized target DNA. The chip-based signal enhancement for single-nucleotide discrimination resulted in 200 times higher sensitivity than that of an off-chip test. This microfluidic device successfully achieved simultaneous detection of two disease-associated single-nucleotide polymorphism sites using polymerase chain reaction products as target. This apyrase-mediated microfluidic primer extension approach combines the rapid binding kinetics of homogeneous assays of suspended microbeads array, the liquid handling capability of microfluidics, and the fluorescence detection sensitivity of quantum dots to provide a platform for single-base analysis with small reagent consumption, short assay time, and parallel detection.

Evaluating Whole Genome Amplification via Multiply-Primed Rolling Circle Amplification for SNP Genotyping of Samples With Low DNA Yield

The amount of available DNA is often a limiting factor in pursuing genetic analyses of large-scale population cohorts. An association between higher DNA yield from blood and several phenotypes associated with inflammatory states has recently been demonstrated, suggesting that exclusion of samples with very low DNA yield may lead to biased results in statistical analyses. Whole genome amplification (WGA) could present a solution to the DNA concentration-dependent sample selection. The aim was to thoroughly assess WGA for samples with low DNA yield, using the multiply-primed rolling circle amplification method. Fifty-nine samples were selected with the lowest DNA yield (less than 7.5µg) among 799 samples obtained for one population cohort. The genotypes obtained from two replicate WGA samples and the original genomic DNA were compared by typing 24 single nucleotide polymorphisms (SNPs). Multiple genotype discrepancies were identified for 13 of the 59 samples. The largest portion of discrepancies was due to allele dropout in heterozygous genotypes in WGA samples. Pooling the WGA DNA replicates prior to genotyping markedly improved genotyping reproducibility for the samples, with only 7 discrepancies identified in 4 samples. The nature of discrepancies was mostly homozygote genotypes in the genomic DNA and heterozygote genotypes in the WGA sample, suggesting possible allele dropout in the genomic DNA sample due to very low amounts of DNA template. Thus, WGA is applicable for low DNA yield samples, especially if using pooled WGA samples. A higher rate of genotyping errors requires that increased attention be paid to genotyping quality control, and caution when interpreting results.

Detection of single-nucleotide polymorphism on uidA gene of Escherichia coli by a multiplexed electrochemical DNA biosensor with oligonucleotide-incorporated nonfouling surface

We report here a practical application of a multiplexed electrochemical DNA sensor for highly specific single-nucleotide polymorphism (SNP) detection. In this work, a 16-electrode array was applied with an oligonucleotide-incorporated nonfouling surfaces (ONS) on each electrode for the resistance of unspecific absorption. The fully matched target DNA templated the ligation between the capture probe assembled on gold electrodes and the tandem signal probe with a biotin moiety, which could be transduced to peroxidase-based catalyzed amperometric signals. A mutant site (T93G) in uidA gene of E. coli was analyzed in PCR amplicons. 10% percentage of single mismatched mutant gene was detected, which clearly proved the selectivity of the multiplexed electrochemical DNA biosensor when practically applied.

A comprehensive HBV array for the detection of HBV mutants and genotype

OBJECTIVE

To develop a comprehensive hepatitis B virus (HBV) array providing simultaneous analysis of 8 genotypes, 47 mutations of reverse-transcriptase polymerase gene and 18 mutations of S gene.

METHOD

Oligonucleotides corresponding to various HBV-normal and -mutant sequences were spotted onto pre-treated glass slides. Single-stranded templates of the HBV gene fragment were prepared from serum-DNA of HBV-infected patients by 2-staged PCR and subjected to allele-specific arrayed-primer extension with Cy5-dCTP. Fluorescein-labelled products were scanned at 670nm.

RESULTS

Comparative analysis of 100 unrelated samples using the array and a commercial kit, revealed 44 with additional mutations from the array, these were confirmed by sequencing. Analysis of 381 samples from 45 patients during 1-3 years of anti-viral therapy showed improved sensitivity with detection of drug-resistant mutations months before clinical relapse. The lower detection limit was 28 copies/mL.

CONCLUSION

The array is better than many existing methods as it provides both mutations and genotype data in a single analysis.

Application of DNA array technology for diagnostic microbiology

Microarrays or DNA chips have been hailed as the ultimate experimental tool for research, drug discovery and diagnostics. They have the potential to perform a multitude of molecular tests simultaneously and to produce a wealth of information from a single clinical sample. Applications include genotyping, expression analysis and sequencing (1-4). The aim of this review is to provide a brief summary of current microarray technology and highlight the many ways in which it is being developed for use in clinical microbiology laboratories.

Structure-function relationships of phenoxazine nucleosides for identification of mismatches in duplex DNA by fluorescence spectroscopy

The effects of the flanking sequence on the mismatch-detection capabilities of the fluorescent nucleoside phenoxazine (tC(O)) were examined in a systematic fashion, and compared to the previously reported fluorescent, phenoxazine-based nucleoside Ç(f) . We see some similarities for the two fluorescent nucleosides, for example, the emission intensity of the C-mismatched duplex is always the highest, and a three-peak pattern in the spectrum emerges when the fluorosides are base-paired with A. However, phenoxazine was only able to distinguish a mismatch from the fully base-paired duplex in 11 out of 16 flanking sequences, and was able to identify each of the mismatches in six of those sequences. Therefore, tC(O) shows poorer discrimination of mismatches than was previously reported for Ç(f) , which could be used to identify all base-pairing partners in all immediately flanking sequences, albeit in some cases by using mercuric ions to selectively quench the emission of the T-mismatched duplex. The mercuric titration might resolve the overlap of fluorescence curves of tC(O) in some flanking sequences, but not for 5'-d(CtC(O) G) and 5'-d(TtC(O) A) due to overlap of A-mismatch and G-match fluorescence curves. A pH titration was performed on Ç(f) , tC(O) and a N5-methylated derivative of tC(O) , which showed that the emergence of the three-peak pattern is associated with the de-protonation of N5 in the fluorosides. We also show that neither the α- nor β-anomer of the phenothiazine nucleoside (tC) was able to detect a mismatch in any of the flanking sequences examined.

Segmental duplication as one of the driving forces underlying the diversity of the human immunoglobulin heavy chain variable gene region

Background

Segmental duplication and deletion were implicated for a region containing the human immunoglobulin heavy chain variable (IGHV) gene segments, 1.9III/hv3005 (possible allelic variants of IGHV3-30) and hv3019b9 (a possible allelic variant of IGHV3-33). However, very little is known about the ranges of the duplication and the polymorphic region. This is mainly because of the difficulty associated with distinguishing between allelic and paralogous sequences in the IGHV region containing extensive repetitive sequences. Inability to separate the two parental haploid genomes in the subjects is another serious barrier. To address these issues, unique DNA sequence tags evenly distributed within and flanking the duplicated region implicated by the previous studies were selected. The selected tags in single sperm from six unrelated healthy donors were amplified by multiplex PCR followed by microarray detection. In this way, individual haplotypes of different parental origins in the sperm donors could be analyzed separately and precisely. The identified polymorphic region was further analyzed at the nucleotide sequence level using sequences from the three human genomic sequence assemblies in the database.

Results

A large polymorphic region was identified using the selected sequence tags. Four of the 12 haplotypes were shown to contain consecutively undetectable tags spanning in a variable range. Detailed analysis of sequences from the genomic sequence assemblies revealed two large duplicate sequence blocks of 24,696 bp and 24,387 bp, respectively, and an incomplete copy of 961 bp in this region. It contains up to 13 IGHV gene segments depending on haplotypes. A polymorphic region was found to be located within the duplicated blocks. The variants of this polymorphism unusually diverged at the nucleotide sequence level and in IGHV gene segment number, composition and organization, indicating a limited selection pressure in general. However, the divergence level within the gene segments is significantly different from that in the intergenic regions indicating that these regions may have been subject to different selection pressures and that the IGHV gene segments in this region are functionally important.

Conclusions

Non-reciprocal genetic rearrangements associated with large duplicate sequence blocks could substantially contribute to the IGHV region diversity. Since the resulting polymorphisms may affect the number, composition and organization of the gene segments in this region, it may have significant impact on the function of the IGHV gene segment repertoire, antibody diversity, and therefore, the immune system. Because one of the gene segments, 3-30 (1.9III), is associated with autoimmune diseases, it could be of diagnostic significance to learn about the variants in the haplotypes by using the multiplex haplotype analysis system used in the present study with DNA sequence tags specific for the variants of all gene segments in this region.

Personalized medicine: marking a new epoch in cancer patient management

Personalized medicine (PM) is defined as "a form of medicine that uses information about a person's genes, proteins, and environment to prevent, diagnose, and treat disease." The promise of PM has been on us for years. The suite of clinical applications of PM in cancer is broad, encompassing screening, diagnosis, prognosis, prediction of treatment efficacy, patient follow-up after surgery for early detection of recurrence, and the stratification of patients into cancer subgroup categories, allowing for individualized therapy. PM aims to eliminate the "one size fits all" model of medicine, which has centered on reaction to disease based on average responses to care. By dividing patients into unique cancer subgroups, treatment and follow-up can be tailored for each individual according to disease aggressiveness and the ability to respond to a certain treatment. PM is also shifting the emphasis of patient management from primary patient care to prevention and early intervention for high-risk individuals. In addition to classic single molecular markers, high-throughput approaches can be used for PM including whole genome sequencing, single-nucleotide polymorphism analysis, microarray analysis, and mass spectrometry. A common trend among these tools is their ability to analyze many targets simultaneously, thus increasing the sensitivity, specificity, and accuracy of biomarker discovery. Certain challenges need to be addressed in our transition to PM including assessment of cost, test standardization, and ethical issues. It is clear that PM will gradually continue to be incorporated into cancer patient management and will have a significant impact on our health care in the future.

Extensive analysis of D7S486 in primary gastric cancer supports TESTIN as a candidate tumor suppressor gene

BACKGROUND

High frequency of loss of heterozygosity (LOH) was found at D7S486 in primary gastric cancer (GC). And we found a high frequency of LOH region on 7q31 in primary GC from China, and identified D7S486 to be the most frequent LOH locus. This study was aimed to determine what genes were affected by the LOH and served as tumor suppressor genes (TSGs) in this region. Here, a high-throughput single nucleotide polymorphisms (SNPs) microarray fabricated in-house was used to analyze the LOH status around D7S486 on 7q31 in 75 patients with primary GC. Western blot, immunohistochemistry, and RT-PCR were used to assess the protein and mRNA expression of TESTIN (TES) in 50 and 140 primary GC samples, respectively. MTS assay was used to investigate the effect of TES overexpression on the proliferation of GC cell lines. Mutation and methylation analysis were performed to explore possible mechanisms of TES inactivation in GC.

RESULTS

LOH analysis discovered five candidate genes (ST7, FOXP2, MDFIC, TES and CAV1) whose frequencies of LOH were higher than 30%. However, only TES showed the potential to be a TSG associated with GC. Among 140 pairs of GC samples, decreased TES mRNA level was found in 96 (68.6%) tumor tissues when compared with matched non-tumor tissues (p < 0.001). Also, reduced TES protein level was detected in 36 (72.0%) of all 50 tumor tissues by Western blot (p = 0.001). In addition, immunohistochemical staining result was in agreement with that of RT-PCR and Western blot. Down regulation of TES was shown to be correlated with tumor differentiation (p = 0.035) and prognosis (p = 0.035, log-rank test). Its overexpression inhibited the growth of three GC cell lines. Hypermethylation of TES promoter was a frequent event in primary GC and GC cell lines. However, no specific gene mutation was observed in the coding region of the TES gene.

CONCLUSIONS

Collectively, all results support the role of TES as a TSG in gastric carcinogenesis and that TES is inactivated primarily by LOH and CpG island methylation.

Errors and reproducibility of DNA array-based detection of allelic variants in ADME genes: PHARMAchip™

Aims: Differences in adverse drug reactions can be explained by genetic variations, especially if they determine the expression of certain protein effectors and/or drug-metabolizing enzymes. Over the last decade, several tests screening for the most frequent polymorphisms in drug-metabolizing enzymes have been marketed for research and diagnostic purposes. The aim of this study was to assess the suitability of PHARMAchip™ for the genotyping of polymorphisms of genes associated with drug metabolism and response as an alternative to Jurilab Ltd’s DrugMEt® Test. Materials & methods: In this observational study, performed using 100 previously genotyped DNA samples, we report on common genes included in the two different tests examined: the former DrugMEt test and the recently introduced PHARMAchip test. Results & conclusion: Although these tests are based on different methodological approaches, we have found a high concordance of results between both methods. Some of the discrepancies between tests were related to allelic variants not monitored in a particular microarray and the quality of the genomic DNA used.

Genetic association and interaction analysis of USF1 and APOA5 on lipid levels and atherosclerosis

OBJECTIVE

USF1 is a ubiquitous transcription factor governing the expression of numerous genes of lipid and glucose metabolism. APOA5 is a well-established candidate gene regulating triglyceride (TG) levels and has been identified as a downstream target of upstream stimulatory factor. No detailed studies about the effect of APOA5 on atherosclerotic lesion formation have been conducted, nor has its potential interaction with USF1 been examined.

METHODS AND RESULTS

We analyzed allelic variants of USF1 and APOA5 in families (n=516) ascertained for atherogenic dyslipidemia and in an autopsy series of middle-aged men (n=300) with precise quantitative measurements of atherosclerotic lesions. The impact of previously associated APOA5 variants on TGs was observed in the dyslipidemic families, and variant rs3135506 was associated with size of fibrotic aortic lesions in the autopsy series. The USF1 variant rs2516839, associated previously with atherosclerotic lesions, showed an effect on TGs in members of the dyslipidemic families with documented coronary artery disease. We provide preliminary evidence of gene-gene interaction between these variants in an autopsy series with a fibrotic lesion area in the abdominal aorta (P=0.0028), with TGs in dyslipidemic coronary artery disease subjects (P=0.03), and with high-density lipoprotein cholesterol (P=0.008) in a large population cohort of coronary artery disease patients (n=1065) in which the interaction for TGs was not replicated.

CONCLUSIONS

Our findings in these unique samples reinforce the roles of APOA5 and USF1 variants on cardiovascular phenotypes and suggest that both genes contribute to lipid levels and aortic atherosclerosis individually and possibly through epistatic effects.

Introduction to omics

Exploiting the potential of omics for clinical diagnosis, prognosis, and therapeutic purposes has currently been receiving a lot of attention. In recent years, most of the effort has been put into demonstrating the possible clinical applications of the various omics fields. The cost-effectiveness analysis has been, so far, rather neglected. The cost of omics-derived applications is still very high, but future technological improvements are likely to overcome this problem. In this chapter, we will give a general background of the main omics fields and try to provide some examples of the most successful applications of omics that might be used in clinical diagnosis and in a therapeutic context.

Chemical gradient-mediated melting curve analysis for genotyping of SNPs

This report describes a microfluidic solid-phase chemical gradient-mediated melting curve analysis method for SNP analysis. The method is based on allele-specific denaturation to discriminate mismatched (MM) from perfectly matched (PM) DNA duplexes upon exposure to linear chemical gradient. PM and MM DNA duplexes conjugated on beads are captured in a microfluidic gradient generator device designed with dams, keeping the beads trapped perpendicular to a gradient generating channel. Two denaturants, formamide and urea, were tested for their ability to destabilize the DNA duplex by competing with Watson-Crick pairing. Upon exposure to the chemical gradient, rapid denaturing profile was monitored in real time using fluorescence microscopy. The results show that the two duplexes exhibit different kinetics of denaturation profiles, enabling discrimination of MM from PM DNA duplexes to score SNP.

Modic changes and interleukin 1 gene locus polymorphisms in occupational cohort of middle-aged men

According to recent systematic reviews, Modic changes are associated with low-back pain. However, their pathophysiology remains largely unknown. A previous study of Northern Finnish males implicated that IL1A and MMP3 polymorphisms play a role in type II Modic changes. The purpose of the current study was to examine the association of IL1 cluster polymorphisms with Modic changes amongst middle-aged men in Southern Finland. The final study sample consisted of 108 men from three different occupations, who underwent magnetic resonance imaging (MRI) with a 0.1 T-scanner. Six single nucleotide polymorphisms (SNP) in the IL1 gene cluster (IL1A c.1-889C>T; IL1B c.3954C>T; IL1RN c.1812G>A; IL1RN c.1887G>C; IL1RN c.11100T>C; IL1RN c.1506G>A) were genotyped with the SNP-TRAP method or by allele-specific primer extension on modified microarray. In all, 45 subjects had Modic changes at one or more disc levels. The presence of the minor allele of IL1A (c.1-889C>T) was associated with these changes (any Modic change p = 0.031, type II changes p = 0.036). The carriers of the T-allele had a 2.5-fold risk of Modic change and the association was independent of the other IL1 gene cluster loci studied. In addition, a minor haplotype, with a frequency of 7.5% in the study population, including the minor alleles of IL1A c.1-889C>T, IL1RN c.1812G>A, and IL1RN c.1506G>A, was significantly associated with Modic changes. This observation is in accordance with the previous finding from a different geographical area, and thus confirms the importance of the IL1A gene in the pathophysiology of Modic changes.

Tag-extension-based method for sensitive and specific genotyping of single nucleotide polymorphism on microarray

BACKGROUND

The obtainment of a large amount of single nucleotide polymorphism (SNP) information has emphasized a need for a sensitive, accurate and high-throughput strategy for SNP genotyping. We developed a reliable and potential microarray-based method to meet this demand.

METHODS

A tag extension strategy is described to identify SNPs. The strategy is based on a fluorescent nucleotide extension from an extending primer that is hybridized to a bi-functional linker, which acts as an allele-specific primer that hybridizes with a PCR-amplified target DNA immobilized on a 3-dimensional (3-D) polyacrylamide gel microarray, as well as an extending template with a specific tag itself hybridized with a universal extension primer. Multiple fluorescence-dNTPs are simultaneously incorporated into the tagged linker.

RESULTS

The method not only significantly enhanced the sensitivity, but also efficiently improved the specificity of SNP genotyping. 89 samples for 8025575C/G polymorphisms in gamma-aminobutyric acid A receptor, beta 3 (GABAB3) gene were accurately discriminated using this method. Sanger sequencing was performed to validate these results.

CONCLUSION

Our experiments successfully demonstrated that a tag-extension-based method on microarray could be used as a high-throughput and useful tool to obtain SNP information.

Novel approaches for retention time prediction of oligonucleotides in ion-pair reversed-phase high-performance liquid chromatography

The base sequence autocorrelation (BSA) descriptors were used to describe structures of oligonucleotides and to develop accurate quantitative structure-retention relationship (QSRR) models of oligonucleotides in ion-pair reversed-phase high-performance liquid chromatography. Through the combination use of multiple linear regression (MLR) and genetic algorithm (GA), QSRR models were developed at temperatures of 30 degrees C, 40 degrees C, 50 degrees C, 60 degrees C and 80 degrees C, respectively. Satisfactory results were obtained for the single-temperature models (STM). Multi-temperature model (MTM) was also developed that can be used for predicting the retention time at any temperature. The correlation coefficients of retention time prediction for the test set based on the MTM model at 30 degrees C, 40 degrees C, 50 degrees C, 60 degrees C and 80 degrees C were 0.978, 0.982, 0.989, 0.988 and 0.996, respectively. The corresponding absolute average relative deviations (AARD) for the test set at each temperature were all less than 1%. The new strategy of feature representation and multi-temperatures modeling is a very promising tool for QSRR modeling with good predictive ability for predicting retention time of oligonucleotides at multiple temperatures under the studied condition.

Combining multiple PCR primer pairs for each amplicon can improve SNP genotyping accuracy by reducing allelic drop-out

We have developed a systematic, single-tube assay approach to reduce the chance of SNP genotyping error due to otherwise unidentifiable allelic drop-out during PCR amplification. Allelic drop-out in such cases would normally be caused by additional and rare genetic variation within the PCR primer site sequence itself. Our method is novel in that it does not require prior knowledge of the additional "hidden" genetic variation. The method has been tested in multiplex using a microarray-based SNP genotyping chip and results in the rescue of previously reported false genotype calls.

Microarray technology in the study of genetic determinants of cardiovascular diseases

Microarray, a miniaturized glass slide or membrane with immobilized DNA probes, is a powerful tool for the analysis of mutations, gene expression and sequencing. This technique requires chip (glass slide or membrane) fabrication, preparation of probes and labelled targets, hybridization and data analysis. Microarrays give the possibility to evaluate a wide spectrum of candidate genes, to simultaneously observe interaction of genes, to detect polymorphisms within genes and identify therapeutic targets. Coronary artery disease being a major cause of death, is a disorder influenced by either genetic or environmental factors. Microarray analysis of gene expression can be used to identify genes involved in disease progression and in disease reduction. Chips also allow for the throughput and simultaneous analysis of a great variety of cell types such as cardiomyocytes, monocytes, macrophages, smooth muscle, endothelial, and fibroblasts and chemical mediators involved in cardiovascular disease pathology, their interactions and cumulative effects.

Whole-genome genotyping on bead arrays

In this review, we describe the laboratory implementation of Infinium whole genome genotyping (WGG) technology for whole genome association studies and copy number studies. Briefly, the Infinium WGG assay employs a single tube whole genome amplification reaction to amplify the entire genome; genomic loci of interest are captured on an array by specific hybridization of picomolar concentrations amplified gDNA. After target capture, single nucleotide polymorphisms (SNPs) are genotyped on the array by a primer extension reaction using hapten-labeled nucleotides. The resultant hapten signal is amplified by immunhistochemical sandwich staining and the array is read out on a high resolution confocal scanner. We have combined this Infinium assay with high-density BeadChips to create the first array platform capable of genotyping over 1 million SNPs per slide. Additionally, the complete Infinium assay is automated using Tecan GenePaint slide processing system. Hybridization, washing, array-based primer extension and staining are performed directly in the Tecan capillary gap Te-Flow Through chambers. This automation process greatly increases assay robustness and throughput while enabling Laboratory Information Management System (LIMS) control of sample tracking. Finally, we give several examples of how this advance in genotyping technology is being applied in whole genome association and copy number studies.

Target preparation for genotyping specific genes or gene segments

Generation of single stranded target is of high importance for hybridization reactions on oligonucleotide microarrays. Several methods have been established for production of single stranded DNA and in vitro transcribed RNA. Here we describe three robust methods for target amplification from purified genomic DNA or pre-amplified DNA. The protocols include incorporation of biotin labels in the target molecules and allow for biotin/streptavidin chemistry to be utilized for flexibility in choice of visualization strategy.