Tri-allelic Single Nucleotide Polymorphisms Research Articles

Detection of Tri-allelic Single Nucleotide Polymorphisms of ABCB1 and CRP Genes by Penta-Primer Amplification Refractory Mutation System-Polymerase Chain Reaction.

Objective: The standard methods for tri-allelic single nucleotide polymorphism (SNP) genotyping require special equipment and are costly to perform. The aim of this study was to establish a fast, simple, and low-cost method to differentiate among tri-allelic SNPs in general laboratories. Methods: Based on the tetra-primer amplification refractory mutation system-polymerase chain reaction (T-ARMS-PCR) typing of bi-allelic SNPs, we developed a penta-primer amplification refractory mutation system-polymerase chain reaction (P-ARMS-PCR) method characterize tri-allelic SNPs. The two most studied tri-allelic SNPs, rs2032582 and rs3091244, were genotyped using P-ARMS-PCR in 110 volunteers, and the results were verified by direct DNA sequencing. Results: For rs2032582, there were 20 samples (18.18%) with the GG genotype, 3 (2.73%) with the AA genotype, 24 (21.82%) with the TT genotype, 43 (39.09%) with the GT genotype, 11 (10.00%) with the AG genotype, and 9 (8.18%) with the AT genotype. For rs3091244, there were 67 samples (60.91%) with the CC genotype, 1 (0.91%) with the AA genotype, 8 (7.27%) with the CT genotype, 31 (28.18%) with the CA genotype, and 3 (2.73%) with the AT genotype. The genotypic distributions of rs2032582 (p = 0.482) and rs3091244 (p = 0.492) were in Hardy-Weinberg equilibrium. The DNA sequencing results were entirely consistent with the results of P-ARMS-PCR. Conclusion: P-ARMS-PCR is an accurate, rapid, simple, and low-cost characterization method for tri-allelic SNP genotyping of rs2032582 and rs3091244.

Retraction Note: Exploring the ancestry differentiation and inference capacity of the 28-plex AISNPs.

Inferring an unknown DNA’s ancestry using a set of ancestry-informative single nucleotide polymorphisms (SNPs) in forensic science is useful to provide investigative leads. This is especially true when there is no DNA database match or specified suspect. Thus, a set of SNPs with highly robust and balanced differential power is strongly demanded in forensic science. In addition, it is also necessary to build a genotyping database for estimating the ancestry of an individual or an unknown DNA. For the differentiation of Africans, Europeans, East Asians, Native Americans, and Oceanians, the Global Nano set that includes just 31 SNPs was developed by de la Puente et al. Its ability for differentiation and balance was evaluated using the genotype data of the 1000 Genomes Phase III project and the Stanford University HGDP-CEPH. Just 402 samples were genotyped and analyzed as a reference set based on statistical methods. To validate the differentiating capacity using more samples, we developed a single-tube 28-plex SNP assay in which the SNPs were chosen from the 31 allelic loci of the Global AIMs Nano set. Three tri-allelic SNPs used to differentiate mixed-source DNA contribute little to population differentiation and were excluded here. Then, 998 individuals from 21 populations were typed, and these genotypes were combined with the genotype data obtained from 1000 Genomes Phase III and the Stanford University HGDP-CEPH (3090 total samples,43 populations) to estimate the power of this multiplex assay and build a database for the further inference of an individual or an unknown DNA sample in forensic practice.

Using triallelic SNPs for determining parentage in North American yak ( Bos grunniens) and estimating cattle ( B. taurus) introgression.

Background:Genetic testing for pedigree accuracy is critical for managing genetic diversity in North American (NA) yak ( Bos grunniens), a population expanded mostly from imported zoological park specimens. DNA testing also enhances species conservation by identifying recent B. taurus F1 hybrid ancestors (within three generations). Biallelic single nucleotide polymorphisms (SNPs) can accomplish either task, but increases the marker count and costs necessary to achieve both. Our aim was to identify novel, multifunctional, triallelic yak SNPs (tySNPs), with each having two alleles for yak parentage testing, and a third allele for identifying recent cattle introgression. Methods: Genome sequences were aligned to the cattle UMD3.1 assembly and SNPs were screened for 1) heterozygosity in a NA and a Chinese yak, 2) a third allele at high frequency in cattle, and 3) flanking sequences conserved in both species. Subsequently, tySNPs were filtered for unique alignment to the haplotype-resolved F1 yak assembly. Allele frequencies were estimated in a subset of 87 tySNPs by genotyping 170 NA yak. Results: We identified 610 autosomal tySNPs, distributed in 441 clusters with 5 Mb average genome spacing. The average NA yak minor allele frequency was high (0.296), while average introgressed cattle alleles were low (0.004). In simulations with tySNPs, 28 were sufficient for globally-unique animal identification (P I=5.81x10 -12), 87 were able to exclude 19 random bulls from parentage at the 99% level without using the dam's genotype (P E=5.3x10 -4), and 87 were able to detect F1 hybridization events after three generations of yak backcrosses (1/16th B. taurus germplasm). Conclusions: Identifying animals, determining parentage and detecting recent hybridization events was efficient with as few as 87 tySNPs. A similar triallelic approach could be used with other bottlenecked Bos species that hybridize with cattle, such as NA plains bison ( B. bison).

Using triallelic SNPs for determining parentage in North American yak (Bos grunniens) and estimating cattle (B. taurus) introgression

Background:Genetic testing for pedigree accuracy is critical for managing genetic diversity in North American (NA) yak ( Bos grunniens), a population expanded mostly from imported zoological park specimens. DNA testing also enhances species conservation by identifying recent B. taurus F1 hybrid ancestors (within three generations). Biallelic single nucleotide polymorphisms (SNPs) can accomplish either task, but increases the marker count and costs necessary to achieve both. Our aim was to identify novel, multifunctional, triallelic yak SNPs (tySNPs), with each having two alleles for yak parentage testing, and a third allele for identifying recent cattle introgression. Methods: Genome sequences were aligned to the cattle UMD3.1 assembly and SNPs were screened for 1) heterozygosity in a NA and a Chinese yak, 2) a third allele at high frequency in cattle, and 3) flanking sequences conserved in both species. Subsequently, tySNPs were filtered for unique alignment to the haplotype-resolved F1 yak assembly. Allele frequencies were estimated in a subset of 87 tySNPs by genotyping 170 NA yak. Results: We identified 610 autosomal tySNPs, distributed in 441 clusters with 5 Mb average genome spacing. The average NA yak minor allele frequency was high (0.296), while average introgressed cattle alleles were low (0.004). In simulations with tySNPs, 28 were sufficient for globally-unique animal identification (P I=5.81x10 -12), 87 were able to exclude 19 random bulls from parentage at the 99% level without using the dam's genotype (P E=5.3x10 -4), and 87 were able to detect F1 hybridization events after three generations of yak backcrosses (1/16th B. taurus germplasm). Conclusions: Identifying animals, determining parentage and detecting recent hybridization events was efficient with as few as 87 tySNPs. A similar triallelic approach could be used with other bottlenecked Bos species that hybridize with cattle, such as NA plains bison ( B. bison).

Construction and forensic application of 20 highly polymorphic microhaplotypes.

Microhaplotype markers have become an important research focus in forensic genetics. However, many reported microhaplotype markers have limited polymorphisms. In this study, we developed a set of highly polymorphic microhaplotype markers based on tri-allelic single-nucleotide polymorphisms. Eleven newly discovered microhaplotypes along with nine previously identified in our laboratory were studied. The microhaplotype genotypes of unrelated individuals and familial samples were generated on the MiSeq PE300 platform. These 20 loci have an average greater than 3.5 effective number of alleles. Over the whole set, the cumulative power of discrimination was 1–3.3 × 10−18, the cumulative power of exclusion was 1–1.928 × 10−7 and the theoretical probability of detecting a mixture was 1–1.427 × 10−6. Differentiation comparisons of 26 populations from the 1000 Genomes Project distinguished among East Asian, South Asian, African and European populations. Overall, these markers enrich the current microhaplotype marker databases and can be applied for individual identification, paternity testing and biogeographic ancestry distinction.

A compilation of tri-allelic SNPs from 1000 Genomes and use of the most polymorphic loci for a large-scale human identification panel

In a directed search of 1000 Genomes Phase III variation data, 271,934 tri-allelic single nucleotide polymorphisms (SNPs) were identified amongst the genotypes of 2,504 individuals from 26 populations. The majority of tri-allelic SNPs have three nucleotide substitution-based alleles at the same position, while a much smaller proportion, which we did not compile, have a nucleotide insertion/deletion plus substitution alleles. SNPs with three alleles have higher discrimination power than binary loci but keep the same characteristic of optimum amplification of the fragmented DNA found in highly degraded forensic samples. Although most of the tri-allelic SNPs identified had one or two alleles at low frequencies, often single observations, we present a full compilation of the genome positions, rs-numbers and genotypes of all tri-allelic SNPs detected by the 1000 Genomes project from the more detailed analyses it applied to Phase III sequence data. A total of 8,705 tri-allelic SNPs had overall heterozygosities (averaged across all 1000 Genomes populations) higher than the binary SNP maximum value of 0.5. Of these, 1,637 displayed the highest average heterozygosity values of 0.6-0.666. The most informative tri-allelic SNPs we identified were used to construct a large-scale human identification panel for massively parallel sequencing, designed for the identification of missing persons. The large-scale MPS identification panel comprised: 1,241 autosomal tri-allelic SNPs and 29 X tri-allelic SNPs (plus 46 microhaplotypes adapted for genotyping from reduced length sequences). Allele frequency estimates are detailed for African, European, South Asian and East Asian population groups plus the Peruvian population sampled by 1000 Genomes for the 1,270 tri-allelic SNPs of the final MPS panel. We describe the selection criteria, kinship simulation experiments and genomic analyses used to select the tri-allelic SNP components of the panel. Approximately 5 % of the tri-allelic SNPs selected for the large-scale MPS identification panel gave three-genotype patterns in single individual samples or discordant genotypes for genomic control DNAs. A likely explanation for some of these unreliably genotyped loci is that they map to multiple sites in the genome - highlighting the need for caution and detailed scrutiny of multiple-allele variant data when designing future forensic SNP panels, as such patterns can arise from common structural variation in the genome, such as segmental duplications.

Performance of ancestry-informative SNP and microhaplotype markers

The use of microhaplotypes (MHs) for ancestry inference has added to an increasing number of ancestry-informative markers (AIMs) for forensic application that includes autosomal single nucleotide polymorphisms (SNPs) and insertions/deletions (indels). This study compares bi-allelic and tri-allelic SNPs as well as MH markers for their ability to differentiate African, European, South Asian, East Asian, and American population groups from the 1000 Genomes Phase 3 database. A range of well-established metrics were applied to rank each marker according to the population differentiation potential they measured. These comprised: absolute allele frequency differences (δ); Rosenberg’s informativeness for (ancestry) assignment (In); the fixation index (FST); and the effective number of alleles (Ae). A panel consisting of all three marker types resulted in the lowest mean divergence per population per individual (MDPI = 2.16%) when selected by In. However, when marker types were not mixed, MHs were the highest performing markers by most metrics (MDPI < 4%) for differentiation between the five continental populations.

Forensic tri-allelic SNP genotyping using nanopore sequencing

The potential and current state-of-the-art of forensic SNP genotyping using nanopore sequencing was investigated with a panel of 16 tri-allelic single nucleotide polymorphisms (SNPs), multiplexing five samples per sequencing run. The sample set consisted of three single-source human genomic reference control DNA samples and two GEDNAP samples, simulating casework samples. The primers for the multiplex SNP-loci PCR were taken from a study which researched their value in a forensic setting using conventional single-base extension technology. Workflows for multiplexed Oxford Nanopore Technologies' 1D and 1D2 sequencing were developed that provide correct genotyping of most SNP loci. Loci that are problematic for nanopore sequencing were characterized. When such loci are avoided, nanopore sequencing of forensic tri-allelic SNPs is technically feasible.

Exploring the ancestry differentiation and inference capacity of the 28-plex AISNPs.

Inferring an unknown DNA's ancestry using a set of ancestry-informative single nucleotide polymorphisms (SNPs) in forensic science is useful to provide investigative leads. This is especially true when there is no DNA database match or specified suspect. Thus, a set of SNPs with highly robust and balanced differential power is strongly demanded in forensic science. In addition, it is also necessary to build a genotyping database for estimating the ancestry of an individual or an unknown DNA. For the differentiation of Africans, Europeans, East Asians, Native Americans, and Oceanians, the Global Nano set that includes just 31 SNPs was developed by de la Puente et al. Its ability for differentiation and balance was evaluated using the genotype data of the 1000 Genomes Phase III project and the Stanford University HGDP-CEPH. Just 402 samples were genotyped and analyzed as a reference set based on statistical methods. To validate the differentiating capacity using more samples, we developed a single-tube 28-plex SNP assay in which the SNPs were chosen from the 31 allelic loci of the Global AIMs Nano set. Three tri-allelic SNPs used to differentiate mixed-source DNA contribute little to population differentiation and were excluded here. Then, 998 individuals from 21 populations were typed, and these genotypes were combined with the genotype data obtained from 1000 Genomes Phase III and the Stanford University HGDP-CEPH (3090 total samples,43 populations) to estimate the power of this multiplex assay and build a database for the further inference of an individual or an unknown DNA sample in forensic practice.

Noninvasive prenatal paternity testing using targeted massively parallel sequencing.

Recent advances in massively parallel sequencing (MPS) technology have provided efficient methods for noninvasive prenatal paternity testing (NIPAT). However, a well-accepted protocol has not been established. The present study developed an MPS-based approach for NIPAT and compared the performance of two recently reported methods for MPS data interpretation. We selected 1795 unlinked polymorphic single-nucleotide polymorphisms (SNPs) and performed paternity analysis in 34 real parentage test cases with maternal plasma samples using the Illumina HiSeq platform. Sequencing data were interpreted by the straightforward counting method for the identification of paternal alleles and mathematical algorithms for paternity index (PI) calculation, respectively. Based on the sequencing data from each family case, both of the two statistical approaches produced a significant separation between the biological father and 90 unrelated males (p < 0.0001) when sufficient effective loci were attained. Nevertheless, up to 30.82% of real paternal alleles were filtered by a predefined cutoff and resulted in insufficient effective loci, especially in plasma samples with low fetal fraction (approx. 90.60% were filtered). In contrast, the PI calculation model utilized all maternal homozygous SNPs as effective loci (approx. 40% of total SNPs) and successfully identified the correct biological father, with the log-transformed combined PI (Lg(CPI)) value varying from 68.23 to 158.01 in each family case. Our study illustrates that the Bayesian approach represents the better choice in NIPAT data interpretation. Further, the adoption of more informative markers (e.g., tri-allelic SNPs, tetra-allelic SNPs, and micro-haplotypes) or deeper sequencing is recommended for the improvement of the testing efficiency.

Forensic genetic informativeness of an SNP panel consisting of 19 multi-allelic SNPs

Current research focusing on forensic personal identification, phenotype inference and ancestry information on single-nucleotide polymorphisms (SNPs) has been widely reported. In the present study, we focused on tetra-allelic SNPs in the Chinese Han population. A total of 48 tetra-allelic SNPs were screened out from the Chinese Han population of the 1000 Genomes Database, including Chinese Han in Beijing (CHB) and Chinese Han South (CHS). Considering the forensic genetic requirement for the polymorphisms, only 11 tetra-allelic SNPs with a heterozygosity >0.06 were selected for further multiplex panel construction. In order to meet the demands of personal identification and parentage identification, an additional 8 tri-allelic SNPs were combined into the final multiplex panel. To ensure application in the degraded DNA analysis, all the PCR products were designed to be 87–188 bp. Employing multiple PCR reactions and SNaPshot minisequencing, 511 unrelated Chinese Han individuals from Sichuan were genotyped. The combined match probability (CMP), combined discrimination power (CDP), and cumulative probability of exclusion (CPE) of the panel were 6.07 × 10−11, 0.9999999999393 and 0.996764, respectively. Based on the population data retrieved from the 1000 Genomes Project, Fst values between Chinese Han in Sichuan (SCH) and all the populations included in the 1000 Genomes Project were calculated. The results indicated that two SNPs in this panel may contain ancestry information and may be used as markers of forensic biogeographical ancestry inference.

Genetic Diversity, Population Structure, and Linkage Disequilibrium of a Core Collection of Ziziphus jujuba Assessed with Genome-wide SNPs Developed by Genotyping-by-sequencing and SSR Markers.

Chinese jujube (Ziziphus jujuba Mill) is an economically important fruit species native to China with high nutritious and medicinal value. Genotyping-by-sequencing was used to detect and genotype single nucleotide polymorphisms (SNPs) in a core collection of 150 Chinese jujube accessions and further to characterize their genetic diversity, population structure, and linkage disequilibrium (LD). A total of 4,680 high-quality SNPs were identified, of which 38 sets of tri-allelic SNPs were detected. The average polymorphism information content (PIC) values based on bi-allelic SNPs and tri-allelic SNPs were 0.27 and 0.38, respectively. STRUCTURE and principal coordinate analyses based on SNPs revealed that the 150 accessions could be clustered into two groups. However, neighbor-joining trees indicated the accessions should be grouped into three major clusters. Our data confirm that the resolving power for genetic diversity was similar for the SSRs and SNPs. In contrast, regarding population structure, the resolving power was higher for SSRs than for SNPs. The LD pattern in Chinese jujube was investigated for the first time. We observed a relatively rapid LD decay with a short range (∼10 kb) for all pseudo-chromosomes and for individual pseudo-chromosomes. Our findings provide important information for future genome-wide association analyses and marker-assisted selective breeding of Chinese jujube.

Allele frequency distribution of CYP2C19*2 allelic variants associated with clopidogrel resistance in cardiac patients.

Drug resistance is a phenomenon that has become a critical issue in medical practice. Such is the case in the response to clopidogrel treatment, which is variable inter-individually and inter-ethnically due to genetic polymorphisms in the cytochrome P40 (CYP) gene. Clopidogrel is an anti-platelet agent administered to cardiac patients in the form of a prodrug, which is further metabolized into an active form by CYP enzymes. There are many allelic variants of the CYP gene that are involved in clopidogrel resistance, of which CYP2C19*2 has been demonstrated to be one of the most significant loss-of-function alleles. In the present study, 100 cardiac patients with percutaneous coronary intervention (PCI) or acute coronary syndrome (ACS) who were undergoing treatment with clopidogrel were selected and the patients were analyzed for CYP2C19*2 allelic variants using an allele-specific primer extension polymerase chain reaction method. The variant amplicons were visualized on gel and validated by Sanger sequencing. The observed allelic frequency distribution of CYP2C19*2 variants was 18% heterozygous for CYP2C19*2 A/C/G variants, 35% heterozygous for A/G variants, 13% heterozygous for C/G variants, 6% heterozygous for A/C variants, 7% homozygous for A variant, 5% homozygous for C variant and 16% homozygous for G wild-type. Furthermore, tri-allelic single nucleotide polymorphisms (SNPs) were identified in the CYP2C19*2 allele in cardiac patients for the first time, to the best of our knowledge; these were CYP2C19*2 A/C/G SNPs (18%). The overall frequency observed for new allelic variant C of CYP2C19*2 was 42%. These results suggested that there are significant inter-ethnic variations in the allelic frequencies of CYP2C19*2, which may be responsible for the variable clopidogrel response in cardiac patients.

Analysis of human triallelic SNPs by next-generation sequencing.

Although single-nucleotide polymorphisms (SNPs) have become extremely useful in the study of geneticvariation, triallelic SNPs are still not fully understood. Next-generation sequencing (NGS) is a promising approach to identify triallelic sites in large populations. In this study, we explored exome sequencing data from 221 Chinese individuals, with an average depth of 70-fold. We identified 382,901 SNPs in the study samples, including 2,002 (0.52%) triallelic sites. Among the triallelic SNPs, 17.3% were coding SNPs (cSNPs) and 78.3% were novel. Comparison and analysis revealed that the variant alleles were more likely to result in nonsynonymous variation at triallelic sites. In addition, natural selection seemed to influence triallelic SNPs. However, with the limited sample size assessed, more studies will be required in order to fully characterize the features of triallelic SNPs.

Genome-wide single nucleotide polymorphism and Insertion-Deletion discovery through next-generation sequencing of reduced representation libraries in common bean

Single nucleotide polymorphisms (SNPs) and insertions-deletions (InDels) are valuable molecular markers for genomics and genetics studies and molecular breeding. The advent of next-generation sequencing techniques has enabled researchers to approach high-throughput and cost-effective SNP and InDel discovery on a genomic scale. In this report, 36 common bean genotypes grown in Canada were used to construct reduced representation libraries for next-generation sequencing. Using 76 million sequence reads generated by the Illumina HiSeq 2000 Sequencing System, we identified a total of 43,698 putative SNPs and 1,267 putative InDels. Of the SNPs, 43,504 were bi-allelic and 194 were tri-allelic, and the InDels comprised 574 insertions and 693 deletions. The putative bi-allelic SNPs were distributed across all 11 chromosomes with the highest number of SNPs observed in chromosome 2 (4,788), and the lowest in chromosome 10 (2,941). With the aid of the recent release of the first chromosome-scale version of Phaseolus vulgaris, 24,907 bi-allelic SNPs, 79 tri-allelic SNPs, 315 insertions, and 377 deletions were located in 8,758, 77, 273, and 364 genes, respectively. Among these 24,907 bi-allelic SNPs, 7,168 nonsynonymous bi-allelic SNPs were identified within 36 common bean genotypes that were located in 4,303 genes. A total of 113 putative SNPs were randomly chosen for validation using high-resolution melt analysis. Of the 113 candidate SNPs, 105 (92.9 %) contained the predicted SNPs.

SAT0282 C-reactive protein (CRP) polymorphisms and haplotypes influence serum CRP levels independent of disease activity (BASDAI) in ankylosing spondylitis

BackgroundC-reactive protein (CRP) levels are used more frequently for determination of disease activity in patients with Ankylosing Spondylitis (AS), but these levels do not necessarily reflect disease activity in each...

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.

Association between the functional polymorphism (C3435T) of the gene encoding P-glycoprotein (ABCB1) and major depressive disorder in the Japanese population

Human P-glycoprotein (P-gp), which is encoded by ABCB1 (ATP-binding cassette, sub-family B member 1), is expressed in the blood brain barrier and protects the brain from many kinds of drugs and toxins including glucocorticoids by acting as an efflux pump. We examined whether functional polymorphisms of ABCB1 give susceptibility to major depressive disorder (MDD). The five functional single nucleotide polymorphisms (SNPs), A-41G (rs2188524), T-129C (rs3213619), C1236T (Gly412Gly: rs1128503), G2677A/T (Ala893Ser/Thr: rs2032582), and C3435T (Ile1145Ile: rs1045642) were genotyped in 631 MDD patients and 1100 controls in the Japanese population. A tri-allelic SNP, G2677A/T, was genotyped by pyrosequencing and the remaining SNPs were genotyped by the TaqMan 5′-exonuclease allelic discrimination assay. The minor T3435 allele was significantly increased in MDD patients than in the controls (χ2 = 4.5, df = 1, p = 0.034, odds ratio [OR] 1.16, 95% confidential interval [CI] 1.01–1.34). Homozygotes for the T3435 allele was significantly more common in patients than in the controls (χ2 = 7.5, df = 1, p = 0.0062, OR 1.43, 95%CI 1.11–1.85). With respect to the other 4 SNPs, there was no significant difference in genotype or allele distribution. In the haplotype-based analysis, the proportion of individuals with the TT1236-TT3435 haploid genotype was significantly increased in patients than in controls (χ2 = 8.5, df = 1, p = 0.0037, OR 1.50, 95%CI 1.14–1.98). Our results suggest that the T3435 allele or carrying two copies of this allele confers susceptibility to MDD in the Japanese population.

Analysis of tri-allelic SNPs for forensic purpose in Chinese Han population

Single nucleotide polymorphisms (SNPs) have been proved to be effective forensic marker for supplementary paternity testing and forensic identification due to their low mutation rate and depending on small amplicon size. However, at least a set of 50–60 binary SNP loci can reach discrimination power of 13 STR loci that were routinely used in forensic practice. Meanwhile, binary SNP loci were ineffective to detect mixed samples, which may result in incorrect genotyping. In this study, we aimed to find out the potential forensic markers, tri-allelic SNP loci in Chinese Han population. Pyrosequencing (PSQ) with pooling samples was used to analyze candidate SNP loci and estimate allele frequencies of them. To confirm the existence of three alleles, individual samples were sequenced with PSQ method. Our results revealed that there were 10 tri-allelic SNP loci resided on 10 autosomal chromosomes in Chinese Han population. These data demonstrated that PSQ was an effective method to detect tri-allelic SNPs and estimate allele frequencies of them.

Polymorphisms of the formylpeptide receptor gene (FPR1) and susceptibility to stomach cancer in 1531 consecutive autopsy cases

Formylpeptide receptor (FPR1) is involved in inflammation, which is important in the pathogenesis of diverse conditions, including common diseases and cancers. To date, little is known about the relationships between FPR1 and such diseases, aside from the fact that FPR1 is related to periodontitis, which is implicated in systemic diseases such as stomach cancer. We hypothesized that FPR1 polymorphisms related to periodontal disease may confer susceptibility to stomach cancer. Two single nucleotide polymorphisms (SNPs) in the second extracellular region and C-terminus of the formylpeptide receptor gene were analyzed in 1531 consecutive autopsy cases in the Japanese elderly. The tri-allelic SNP of rs1042229 was detected by modified melting temperature analysis. Homozygous K alleles of rs1042229 were associated with stomach cancer (Odds ratio [OR] = 1.62, confidence interval [CI] = 1.05–2.48, p = 0.028). In the analysis of the recessive model of the K allele, FPR1 was associated with a high risk of stomach cancer (OR = 1.73, CI = 1.15–2.55, p = 0.0075). The risk allele for stomach cancer pointed in the same direction as periodontitis. This is the first study to evaluate polymorphisms of the FPR1 gene in stomach cancer to find a positive association between these polymorphisms and stomach cancer. Further studies on the relationship between stomach cancer and the FPR1 gene are warranted.