A single-strand conformation polymorphism method for the large-scale analysis of mutations/polymorphisms using capillary array electrophoresis

We present a high-throughput single-strand conformation polymorphism (SSCP) method, performed on a commercially available capillary array DNA sequencer. We tested various sieving matrices and electrophoretic conditions, using 51 DNA fragments which included 45 fragments carrying only one single nucleotide polymorphism (SNP), 4 fragments having two SNPs and 2 fragments with insertion or deletion. Resolution of alleles was improved by increasing concentrations of both sieving matrices and buffers, and all examined polymorphisms of DNA fragments were detected, most of them (45 fragments) as clearly split allele peaks in heterozygotes. Allele frequencies of SNPs can be estimated accurately by determining the relative amounts of alleles in pooled DNA. In this method, the turn-around time for the analysis of 96 samples is less than 3 h. These results demonstrate that capillary array-based SSCP is an efficient and accurate technique for the large-scale quantitative analysis of mutations/polymorphisms.     

Developing a new nonbinary SNP fluorescent multiplex detection system for forensic application in China

Nonbinary single‐nucleotide polymorphisms (SNPs) are potential forensic genetic markers because their discrimination power is greater than that of normal binary SNPs, and that they can detect highly degraded samples. We previously developed a nonbinary SNP multiplex typing assay. In this study, we selected additional 20 nonbinary SNPs from the NCBI SNP database and verified them through pyrosequencing. These 20 nonbinary SNPs were analyzed using the fluorescent‐labeled SNaPshot multiplex SNP typing method. The allele frequencies and genetic parameters of these 20 nonbinary SNPs were determined among 314 unrelated individuals from Han populations from China. The total power of discrimination was 0.9999999999994, and the cumulative probability of exclusion was 0.9986. Moreover, the result of the combination of this 20 nonbinary SNP assay with the 20 nonbinary SNP assay we previously developed demonstrated that the cumulative probability of exclusion of the 40 nonbinary SNPs was 0.999991 and that no significant linkage disequilibrium was observed in all 40 nonbinary SNPs. Thus, we concluded that this new system consisting of new 20 nonbinary SNPs could provide highly informative polymorphic data which would be further used in forensic application and would serve as a potentially valuable supplement to forensic DNA analysis.     

Associations between DRDs and schizophrenia in a Korean population: multi-stage association analyses

The dysregulation of the dopaminergic system has been implicated in the pathophysiology of major psychosis, including schizophrenia, with dopamine receptor genes (DRDs) presently targeted as the most promising candidate genes. We investigated DRD1-5 for association with schizophrenia using a multi-stage approach in a Korean sample. One hundred forty-two SNPs in DRD1-5 were selected from the dbSNP, and the associations of each SNP were then screened and typed by MALDI-TOF mass spectrometry using pooled DNA samples from 150 patients with major psychosis and 150 controls. Each of the suggested SNPs was then genotyped and tested for an association within the individual samples comprising each pool. Finally, the positively associated SNPs were genotyped in an extended sample of 270 patients with schizophrenia and 350 controls. Among the 142 SNPs, 88 (62%) SNPs in our Korean population were polymorphic. At the pooling stage, 10 SNPs (DRD1: 2, DRD2: 3, and DRD4: 5) were identified (P<0.05). SNPs rs1799914 of DRD1 (P=0.046) and rs752306 of DRD4 (P=0.017) had significantly different allele frequencies in the individually genotyped samples comprising the pool. In the final stage, with the extended sample, the suggestive association of DRD4 with rs752306 was lost, but the association of DRD1 with rs1799914 gained greater significance (P=0.017). In these large-scale multi-stage analyses, we were able to find a possible association between DRD1 and schizophrenia. These findings suggested the potential contribution of a multi-step strategy for finding genes related to schizophrenia.     

Rare variants analysis by risk-based variable-threshold method

Genome-wide association studies, as a powerful approach for detecting common variants associated with diseases, have revealed many disease-associated loci. However, the traditional association analysis methods do not have enough power for detecting the effects of rare variants with limited sample size. As a solution to this problem, pooling rare variants by their functions into a composite variant provides an alternative way for identifying susceptible genes. In this paper, we propose a new pooling method to test the variant–disease association and to identify the functional rare variants related with the disease. Variants with smaller and larger risk measures defined as the ratio of allele frequencies between cases and controls are pooled and a chi-square test of the resultant pooled table is calculated. We vary the threshold of pooling over all possible values and use the maximal chi-square as test statistic. The maximal chi-square is in fact the global maximum over all possible poolings. Our approach is similar to the existing variable-threshold method, but we threshold on the risk measure instead of allele frequencies of controls. Simulation results show that our method performs better in both association testing and variant selection.     

Exploring of tri-allelic SNPs using pyrosequencing and the SNaPshot methods for forensic application

Tri-allelic single nucleotide polymorphisms (SNPs) are potential forensic markers for DNA analysis. Currently, only a limited number of tri-allelic SNP loci have been proved to be fit for forensic application. In this study, we aimed to develop an effective method to select and genotype tri-allelic SNPs based on both Pyrosequencing (PSQ) and the SNaPshot methods. 50 candidate SNPs were chosen from NCBI's dbSNP database and were analyzed by PSQ. The results revealed that 20 SNPs were tri-allelic and were located on 16 autosomal chromosomes. Then 20 SNP loci were combined in one multiplex polymerase chain reaction to develop a single base extension (SBE)-based SNP-typing assay. A total of 100 unrelated Chinese individuals were genotyped by this assay and allele frequencies were estimated. The total discrimination power was 0.999999999975 and the cumulative probability of exclusion was 0.9937. These data demonstrated that the strategy is a rapid and effective method for seeking and typing tri-allelic SNPs. In addition, the 20 tri-allelic SNP multiplex typing assay may be used to supplement paternity testing and human identification.     

A multiplex assay with 52 single nucleotide polymorphisms for human identification

A total of 52 SNPs reported to be polymorphic in European, Asian and African populations were selected. Of these, 42 were from the distal regions of each autosome (except chromosome 19). Nearly all selected SNPs were located at least 100 kb distant from known genes and commonly used STRs. We established a highly sensitive and reproducible SNP-typing method with amplification of all 52 DNA fragments in one PCR reaction followed by detection of the SNPs with two single base extension reactions analysed using CE. The amplicons ranged from 59 to 115 bp in length. Complete SNP profiles were obtained from 500 pg DNA. The 52 loci were efficiently amplified from degraded samples where previously only partial STR profiles had been obtained. A total of 700 individuals from Denmark, Greenland, Somalia, Turkey, China, Germany, Taiwan, Thailand and Japan were typed, and the allele frequencies estimated. All 52 SNPs were polymorphic in the three major population groups. The mean match probability was at least 5.0 x 10(-19) in the populations studied. Typical paternity indices ranged from 336 000 in Asians to 549 000 in Europeans. Details of the 52 SNP loci and population data generated in this work are freely available at http://www.snpforid.org.     

Analysis of the variations in IL-28RA gene and their association with allergic rhinitis

IL-28RA is one of the important candidate genes for complex trait of genetic diseases, but there is no published information of the genetic variation in this gene. We scanned the seven exons and their boundary introns sequence of IL-28RA including the promoter regions to analyze genetic variation sites, and identified eighteen single nucleotide polymorphisms (SNPs) and two variation sites. We chose seven SNPs (g.-1193 A>C, g.-30 C>T, g.17654 C>T, g.27798 A>G, g.31265 C>T, g.31911 C>T and g.32349 G>A) of them for large sample size genotyping, and assessed the association of genotype and allele frequencies of these SNPs between allergic rhinitis patients and non-allergic rhinitis controls. We also compared the genotype frequencies between Korean controls and Han Chinese control or Korean Chinese control. We investigated the frequencies of haplotype constructed by these SNPs between allergic rhinitis patients and non-allergic rhinitis controls. Our results suggested that the g.32349 G>A polymorphism of IL-28RA might be associated with susceptibility to allergic rhinitis (P=0.032), but seems to have no relationship with serum total IgE levels. The haplotype frequencies by these SNPs also show significant association between controls and allergic rhinitis patients.     

An allelic ladder based upon reference alleles for mtDNA SNP analysis using the SNaPshot technique

The analysis of mitochondrial DNA (mtDNA) single-nucleotide polymorphisms (SNPs) using the SNaPshot technique (Applied Biosystems) is a fast and sensitive method for the reliable identification of disease-associated mtDNA SNPs, genetic ancestry mtDNA SNPs and forensically important mtDNA SNPs. The detection of many SNPs in one multiplex PCR and one subsequent multiplex minisequencing reaction is challenging for laboratories who want to establish this technique, due to the problem that there is no allelic ladder available for mtDNA SNP analysis via SNaPshot technique. Normally, the laboratory has to invent long-term testing and studies. The interpretation of false and correct alleles is up to some specialists knowing the expected and the estimated size of each allele SNP. We here present a protocol to assemble up to 84 alleles of 42 different mtDNA SNPs in an allelic ladder that is based upon reference alleles. We recommend using allelic ladders/reference alleles for SNP analysis to maintain high-quality analysis standards.     

Optimized suppression of adducts in polymerase chain reaction products for semi-quantitative SNP genotyping by liquid chromatography-mass spectrometry

While electrospray ionization mass spectrometry has shown great potential for the identification of genotypes in DNA sequences amplified by polymerase chain reaction (PCR), the quantitative determination of allele frequencies remains challenging because of the presence of cationic adducts in the mass spectra which severely impairs accuracy of quantitation. We report here on the elaboration of an optimized desalting protocol for ion-pair reversed-phase high-performance liquid chromatography-electrospray ionization mass spectrometry (ICEMS) of PCR amplicons which facilitates the genotyping of single nucleotide polymorphisms (SNPs). Chromatographic purification at temperatures between 50 and 70 degrees C using monolithic reversed-phase columns and acetonitrile gradients in aqueous, 20-30 mmol/l butyldimethylammonium bicarbonate enabled the mass spectrometric analysis of nucleic acid solutions containing up to 1.7 mol/l sodium chloride. A further improvement in removal of metal cations was achieved upon the addition of 5-10 mmol/l ethylenediaminetetraacetic acid (EDTA) to the sample solution prior to liquid chromatography. ICEMS was used for the semi-quantitative genotyping of SNPs amplified from the tetraploid genome of potato cultivars. Using a quadrupole ion trap mass spectrometer, allele frequencies were determined with an accuracy of 2-9% by measuring the relative intensities of the signals corresponding to the molecular mass of each of the alleles in the deconvoluted mass spectra. ICEMS results correlated well with those obtained by pyrosequencing, single nucleotide primer extension, and conventional dideoxy sequencing.     

Application of SNPs with low minor allele frequencies in missing person identification (MPI) through kinship analysis of DNA mixtures

The need to identify a missing person (MP) through kinship analysis of DNA samples found at a crime scene has become increasingly prevalent. DNA samples from MPs can be severely degraded, contain little DNA and mixed with other contributors, which often makes it difficult to apply conventional methods in practice. This study developed a massively parallel sequencing–based panel that contains 1661 single-nucleotide polymorphisms (SNPs) with low minor allele frequencies (MAFs) (averaged at 0.0613) in the Chinese Han population, and the strategy for relationship inference from DNA mixtures comprising different numbers of contributors (NOCs) and of varying allele dropout probabilities. Based on the simulated dataset and genotyping results of 42 artificial DNA mixtures (NOC = 2–4), it was observed that the present SNP panel was sufficient for balanced mixtures when referenced to the closest relatives (parents/offspring and full siblings). When the mixture profiles suffered from dropout, incorrect assignments were markedly associated with relatedness, NOC and the dropout level. We, therefore, indicate that SNPs with low MAFs could be reliably interpreted for MP identification through the kinship analysis of complex DNA mixtures. Further studies should be extended to more possible scenarios to test the feasibility of this present approach.     

Quantitative analysis of single‐nucleotide polymorphisms by pyrosequencing with di‐base addition

We have developed and validated a novel method for quantitative detection of SNPs by using pyrosequencing with di‐base addition (PDBA). Based on the principle that the signal intensity is proportional to the template concentration within a linear concentration range, linear formula (Y = AX + B ) for each genotype is established, and the relationship between two genotypes of a single SNP can be resolved by corresponding linear formulas. Here, PDBA assays were developed to detect variants rs6717546 and rs4148324, and the linear formulas for each genotype of rs6717546 and rs4148324 were established. The method allowed to quantitatively determine each genotype and showed 100% accordant results against a panel of defined mixtures. A set of 24 template fragments containing variants rs6717546 or rs4148324 was tested to evaluate the method. Our results showed that allele frequency of each genotype was accurately quantified, with results comparable to those of conventional pyrosequencing. Furthermore, this method was capable of detecting alleles with frequencies as low as 3%, which was more sensitive than ∼5 to ∼7% level detected by conventional pyrosequencing. This method offers high sensitivity, reproducibility, and relatively low costs, and thus could provide a much‐needed approach for quantitative analysis of SNPs in clinical samples.     

The Arg160Trp allele of melanocortin-1 receptor gene might protect against vitiligo

Melanocortin-1 receptor (MC1R) and agouti signaling protein (ASIP) play pivotal roles in the regulation of human pigmentation. We aimed to study whether single nucleotide polymorphisms (SNPs) of the MC1R and ASIP genes contribute to the pathogenesis of the polygenic pigment skin disorder, vitiligo. The PCR-amplified, full-length MC1R gene was studied with sequence analysis, and the 3' untranslated region (3' UTR) SNP of ASIP was detected using restriction fragment length polymorphism. The allele frequency of the ASIP SNP did not show any difference between the skin type, hair color and eye color-matched 97 vitiligo patients and the 59 healthy control individuals. As one of the MC1R polymorphisms showed significantly higher incidence among fair-skinned individuals (Fitzpatrick I+II, n=140) than among dark-skinned individuals (Fitzpatrick III+IV, n=90), both vitiligo patients and controls were divided into two groups and the frequency of the MC1R alleles was studied separately in fair-skinned and dark-skinned subgroups of diseased and healthy groups. C478T, one of the MC1R SNPs studied in 108 fair-skinned vitiligo patients and in 70 fair-skinned healthy control individuals, showed a significant difference (P=0.0262, odds ratio [95% confidence interval]=3.6 [0.0046-0.1003]) in allele frequency between the two groups: the allele frequency was higher in the control group, suggesting protection against vitiligo. Computer prediction of antigenicity has revealed that the Arg160Trp amino acid change caused by this SNP results in a decrease in antigenicity of the affected peptide epitope.     

High-throughput single nucleotide polymorphism typing by fluorescent single-strand conformation polymorphism analysis with capillary electrophoresis

In this study, we performed high-throughput and precise single nucleotide polymorphism (SNP) typing by fluorescent capillary electrophoresis single-strand conformation polymorphism (CE-SSCP) analysis. A system composed of a multicapillary DNA analyzer, a newly developed sieving matrix, four different colors of fluorescent labels, and a multiplex polymerase chain reaction (PCR) enabled low-cost and highly reliable SNP typing. Moreover, this system enabled the estimation of SNP allele frequencies using pooled DNA samples, which should be beneficial for large-scale association studies. Thus, fluorescent CE-SSCP analysis is a useful method for large-scale SNP typing.     

Analysis of four PCR/SNaPshot multiplex assays analyzing 52 SNPforID markers

The SNPfor ID consortium identified a panel of 52 SNPs for forensic analysis that has been used by several laboratories worldwide. The original analysis of the 52 SNPs was based on a single multiplex reaction followed by two single‐base‐extension (SBE) reactions each of which was analyzed using capillary electrophoresis. The SBE assays were designed for high throughput genetic analyzers and were difficult to use on the single capillary ABI PRISM 310 Genetic Analyzer and the latest generation 3500 Genetic Analyzer, as sensitivity on the 310 was low and separation of products on the 3500 with POP‐7™ was poor. We have modified the original assay and split it into four multiplex reactions, each followed by an SBE assay. These multiplex assays were analyzed using polymer POP‐4™ on ABI 310 PRISM® and polymers POP‐4™, POP‐6™ and POP‐7™ on the 3500 Genetic Analyzer. The assays were sensitive and reproducible with input DNA as low as 60 pg using both the ABI 310 and 3500. In addition, we found that POP‐6™ was most effective with the 3500, based on the parameters that we assessed, achieving better separation of the small SBE products; this conflicted with the recommended use of POP‐7™ by the instrument manufacturer. To support the use of the SNP panel in casework in Malaysia we have created an allele frequency database from 325 individuals, representing the major population groups within Malaysia. Population and forensic parameters were estimated for all populations and its efficacy evaluated using 51 forensic samples from challenging casework.     

Detection of single nucleotide polymorphisms using electrospray ionization mass spectrometry: validation of a one-well assay and quantitative pooling studies

Single nucleotide polymorphisms (SNPs) are currently being mapped and databased at a remarkable pace, providing a viable means for understanding disease susceptibility, differential drug response and human evolution. Consequently, there is an increasing demand for SNP genotyping technologies that are simple, rapid, cost effective and readily amenable to automation for high-throughput analyses. In this study, we improved the Survivor Assay, a SNP detection method based on electrospray ionization mass spectrometry (ESI-MS), with several developments. One improvement is the development of a one-well assay, requiring no off-line purification of the polymerase chain reaction product, achieved by simple addition of reagent solution into a single well. Another is the on-line separation of magnesium and dideoxynucleotides using an in-house made monolithic metal chelating column, eliminating any off-line sample preparation prior to mass spectrometric analysis. Here the Survivor Assay is extended from a proof-of-principle concept to a validated method by genotyping six SNPs from five different regions of human genomic DNA in 55 individual samples with 100% accuracy. This improved Survivor Assay eliminates the tedious and time-consuming steps of sample preparation, minimizes sample handing and offers a high-throughput analysis of SNPs by ESI-MS. The current combined preparation and analysis time is 2 min per sample. The simplicity of this method has potential for full automation and parallel chromatography and, thus, reduced analysis time. In addition, we have adapted the Survivor Assay for quantitative SNP analysis in pooled DNA samples. The capabilities and sensitivity of this approach were evaluated. We demonstrate that an allele occurring at a frequency of 2% can consistently be quantitated.     

Expansion of a SNaPshot assay to a 55‐SNP multiplex: Assay enhancements,validation, and power in forensic science

A previously developed multiplex assay with 44 individual identification SNPs was expanded to a 55plex assay. Fifty‐four highly informative SNPs and an amelogenin sex marker were amplified in one PCR reaction and then detected with two SNaPshot reactions using CE. PCR primers for four loci, 28 single‐base extension primers, and the reaction conditions were altered to improve the robustness of the method. A detailed approach for allele calling was developed to guide analysis of the electropherogram. One hundred and eighty unrelated individuals and 100 father‐child‐mother trios of the Han population in Hebei, China were analyzed. No mutation was found in the SNP loci. The combined mean match probability and cumulative probability of exclusion were 1.327 × 10^?22 and 0.999932, respectively. Analysis of the 54 SNPs and 26 STRs (included in the AmpFLSTR Identifiler and Investigator HDplex kits) showed no significant linkage disequilibriums. Our research shows that the expanded SNP multiplex assay is an easily performed and valuable method to supplement STR analysis.     

Genome-wide association studies combined with k-fold cross-validation identify rs17822931 as an ancestry-informative marker in Han Chinese population

DNA-based ancestry inference has long been a research hot spot in forensic science. The differentiation of Han Chinese population, such as the northern-to-southern substructure, would benefit forensic practice. In the present study, we enrolled participants from northern and southern China, each participant was genotyped at ∼400 K single-nucleotide polymorphisms (SNPs) and data of CHB and CHS from 1000 Genomes Project were used to perform genome-wide association analyses. Meanwhile, a new method combining genome-wide association study (GWAS) analyses with k-fold cross-validation in a small sample size was introduced. As a result, one SNP rs17822931 emerged with a p-value of 7.51E − 6. We also simulated a huge dataset to verify whether k-fold cross-validation could reduce the false-negative rate of GWAS. The identified ABCC11 rs17822931 has been reported to have allele frequencies varied with the geographical gradient distribution in humans. We also found a great difference in the allele frequency distributions of rs17822931 among five different cohorts of the Chinese population. In conclusion, our study demonstrated that even small-scale GWAS can also have potential to identify effective loci with implemented k-fold cross-validation method and shed light on the potential maker of rs17822931 in differentiating the north-to-south substructure of the Han Chinese population.     

Predisposition of genetic disease by modestly decreased expression of GCH1 mutant allele

Recently it was shown that single nucleotide polymorphisms (SNPs) can explain individual variation because of the small changes of the gene expression level and that the 50% decreased expression of an allele might even lead to predisposition to cancer. In this study, we found that a decreased expression of an allele might cause predisposition to genetic disease. Dopa responsive dystonia (DRD) is a dominant disease caused by mutations in GCH1 gene. The sequence analysis of the GCH1 in a patient with typical DRD symptoms revealed two novel missense mutations instead of a single dominant mutation. Family members with either of the mutations did not have any symptoms of DRD. The expression level of a R198W mutant allele decreased to about 50%, suggesting that modestly decreased expression caused by an SNP should lead to predisposition of a genetic disease in susceptible individuals.     

Association between interleukin 6 promoter variants and chronic hepatitis B progression

Interleukin 6 (IL6) plays an essential role in the regulation of immune response to chronic disease. In this study, the three known single nucleotide polymorphisms (SNPs) in the IL6 promoter region were genotyped in a large chronic hepatitis B cohort to evaluate the effects of IL6 promoter variants. The single base extension method was used for this genotyping. Haplotypes were constructed by the three SNPs in IL6. Allele frequencies were compared for; i) patients with chronic hepatitis (CH) and chronic carriers vs. chronic hepatis patients with clinical evidence of liver cirrhosis (LC) (i.e., portal hypertension), ii) cirrhotic patients with hepatocellular carcinoma (HCC) vs. without HCC by logistic regression, and iii) with respect to the time intervals from the onset of infection to HCC. Results were analyzed by Cox relative hazard analysis on the assumption that all the patients were infected during early infancy. The frequencies of each SNP were 0.002 (IL6-597 G>A), 0.25 (IL6-572 C>G) and 0.002 (IL6-174 G>C), respectively, in the Korean population (n = 1,046). No significant associations were detected between IL6-572 C>G and chronic hepatitis B outcome in this study; i.e., LC occurrence on CH (OR = 0.16-1.27, P = 0.13- 0.71) and HCC occurrence on LC (OR = 1.04-1.23, P = 0.89-0.60) of heterozygotes and homozygotes for G allele in referent comparison to homozygotes for common allele (C/C genotype), and time interval to HCC (RH = 0.67-1.00; P = 0.14-0.99). In conclusion, there appeared to be no significant associations between IL6 promoter variants and disease outcome in chronic hepatitis B.