• KSBB Journal
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• v.24 no.4
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• pp.410-414
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• 2009

Single-nucleotide polymorphisms (SNPs) are the DNA sequences difference among the same species in the level of nucleic acids and are widely applied in clinical fields such as personalized medicine. The routine and labor-intensive methods to determine SNPs are performing the sequence homology search by using BLAST and navigating the trace of chromatogram files generated by high-throughput DNA sequencing machine by using Chromas program. In this paper, we developed SNPchaser, a web-based program for detecting SNPs substitution and heterozygosity existence, to improve the labor-intensive method in determining SNPs. SNPchaser performed sequence alignment and visualized the suspected region of SNPs by using user's reference sequence, AB1 files, and positional information of SNPs. It simultaneously provided the results of sequences alignment and chromatogram of relevant area of SNPs to user. In addition, SNPchaser can easily determine existence of heterozygosity in SNPs area. SNPchaser is freely accessible via the web site http://www.bioinformatics.ac.kr/SNPchaser and the source codes are available for academic research purpose.

• Korean Chemical Engineering Research
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• v.50 no.2
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• pp.371-378
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• 2012

Hydrophilic silica nanoparticles (SNPs) were treated by using 3-glycidoxypropyltrimethoxy silane (GPTMS) and then they were blended with polyurethane-urea (PUU) emulsions to obtain SNPs/PUU nanocomposite films. Thermo-mechanical properties of the nanocomposite films were investigated by varying the grafted amount of GPTMS onto SNPs and the contents of SNPs in the PUU matrix. The thermo-mechanical properties of the nanocomposite films were also compared in terms of the dispersibility of SNPs in the PUU matrix and thermal curing of the GPTMS-grafted SNPs. The maximum amount of grafted GPTMS was $1.99{\times}10^{-6}\;mol/m^2$, and which covered ca. 53% of the total SNP surface area. $^{29}Si$ CP/MAS NMR analyses with the deconvolution of peaks revealed the details of polycondensation degree and patterns of GPTMS in the surface modification of SNPs. The surface modification did not significantly affect colloidal stability of the SNPs in aqueous medium; however, the hydrophobic modification of SNPs offered a favorable effect on the dispersibility of SNPs in the PUU matrix as well as better thermal stability. XRD patterns revealed that GPTMS-grafted SNPs broadened the reduced the characteristic peak of polyol in PUU matrix. The composite films became rigid and less flexible as the SNP content increased from 5 wt.% to 20 wt.%. Particularly, Young's modulus and tensile modulus significantly increased after the thermal curing reaction of the epoxy groups in the SNPs.

• Journal of the Institute of Electronics and Information Engineers
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• v.52 no.3
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• pp.190-195
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• 2015

The detection of single nucleotide polymorphisms (SNPs) caused of mutant or genetic diseases is important to diagnosis and medicine. There are many methods have been proposed to detect SNPs. However the detection of SNPs is difficulty, because the difference of energy between complementary DNA (cDMA) and SNPs is very small. In this work, we detect the SNPs using field-effect transistors (FETs) which based on the detection of negative charge of DNA. We bias -0.3 V on the drain-source electrode at the target DNA hybridization process. The efficiency of hybridization and the amplitude of signal decrease by repulsive force between negative charge of DNA and negative bias on the electrode. However, the sensitivity of SNPs increases about 5 times from 1.7 mV to 8.7 mV.

• Biomedical Science Letters
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• v.25 no.2
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• pp.190-195
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• 2019

Hemoglobin (Hb) concentrations and hematocrit (Hct) values can be changed by factors such as erythrocyte production, destruction, and bleeding. In addition, variants in the protein expression involved in the amount of red blood cells that determine Hb metabolism or Hct value can increase susceptibility to complex blood diseases. Previous studies have reported significant single nucleotide polymorphisms (SNPs) by applying a genome-wide association study (GWAS) on Hb levels and Hct values in European population. In this study, we confirmed whether the significant SNPs are replicated in Koreans. In previous studies, 26 and 18 SNPs with a significant correlation Hb and Hct were identified in Korean genotype data, and 21 and 12 SNPs were selected, respectively. The SNPs of PRKCE (rs10495928), TMPRSS6 (rs2235321, rs5756505, rs855791) were significantly associated with Hb (P<0.05). In the association analysis of Hct, the SNPs of HBS1L (rs6920211, rs9389268, rs9483788), PRKCE (rs4953318), SCGN (rs9348689) and TMPRSS6 (rs2413450) genes showed a significant correlation (P<0.05). Replicated SNPs and not replicated SNPs showed the difference of genetic distance calculated by Fst. The replicated SNPs with a significant correlation showed similar allele frequencies, whereas the not replicated SNPs showed a large difference in allele frequency. All replicated SNPs with significant correlations had Fst values less than 0.05, indicating that the genetic distance between the groups was close. On the other hand, the not replicated SNPs showed that the Fst value was 0.05 or more and the genetic distance was relatively large.

• Journal of Animal Science and Technology
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• v.49 no.3
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• pp.295-302
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• 2007

Leptin, the product of the obese(ob) gene, is an adipocyte-derived hormone for the regulation of whole- body energy storage and energy usage. It has been reported that the homozygous mutations in the gene for leptin(LEP) induce obesity and reduce energy expenditure. In cattle, LEP has significant roles directly or indirectly related with phenotypes such as body weight and fat deposits, therefore SNPs of LEP have been considered important genetic marker to estimate carcass fat content in cattle. In this study, SNPs were screened in LEP(2,222 bp) between intron 1 to 3'-UTR from 24 independent Hanwoo(Korean cattle) by PCR and DNA sequencing. Total 25 SNPs were found and two nonsynonymous SNPs including T1163A(V19E) and G3256A(G132D) were newly detected only from Hanwoo. Among 20 SNPs previously reported in cattle, 16 SNPs were found in Hanwoo; however, the frequencies of some SNPs were significantly different between Hanwoo and western cattle breeds. The other 4 SNPs were not detected from Hanwoo. These Hanwoo specific SNP patterns in LEP will be used in development of molecular marker and application to genetic improvement of Hanwoo.

• Animal Bioscience
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• v.36 no.2
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• pp.191-199
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• 2023

Objective: This study aimed to investigate the significant single nucleotide polymorphisms (SNPs) and genes associated with nine reproduction and morphological traits in three breed populations of Chinese goats. Methods: The genome-wide association of nine reproduction and morphological traits (litter size, nipple number, wattle, skin color, coat color, black dorsal line, beard, beard length, and hind leg hair) were analyzed in three Chinese native goat breeds (n = 336) using an Illumina Goat SNP50 Beadchip. Results: A total of 17 genome-wide or chromosome-wide significant SNPs associated with one reproduction trait (litter size) and six morphological traits (wattle, coat color, black dorsal line, beard, beard length, and hind leg hair) were identified in three Chinese native goat breeds, and the candidate genes were annotated. The significant SNPs and corresponding putative candidate genes for each trait are as follows: two SNPs located on chromosomes 6 (CSN3) and 24 (TCF4) for litter size trait; two SNPs located on chromosome 9 (KATNA1) and 1 (UBASH3A) for wattle trait; three SNPs located on chromosome 26 (SORCS3), 24 (DYM), and 20 (PDE4D) for coat color trait; two SNPs located on chromosome 18 (TCF25) and 15 (CLMP) for black dorsal line trait; four SNPs located on chromosome 8, 2 (PAX3), 5 (PIK3C2G), and 28 (PLA2G12B and OIT3) for beard trait; one SNP located on chromosome 18 (KCNG4) for beard length trait; three SNPs located on chromosome 17 (GLRB and GRIA2), 28 (PGBD5), and 4 for hind leg hair trait. In contrast, there were no SNPs identified for nipple number and skin color. Conclusion: The significant SNPs or genes identified in this study provided novel insights into the genetic mechanism underlying important reproduction and morphological traits of three local goat breeds in Southern China as well as further potential applications for breeding goats.

• Genomics & Informatics
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• v.12 no.1
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• pp.35-41
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• 2014

Single-nucleotide polymorphisms (SNPs) have been emerging out of the efforts to research human diseases and ethnic disparities. A semantic network is needed for in-depth understanding of the impacts of SNPs, because phenotypes are modulated by complex networks, including biochemical and physiological pathways. We identified ethnicity-specific SNPs by eliminating overlapped SNPs from HapMap samples, and the ethnicity-specific SNPs were mapped to the UCSC RefGene lists. Ethnicity-specific genes were identified as follows: 22 genes in the USA (CEU) individuals, 25 genes in the Japanese (JPT) individuals, and 332 genes in the African (YRI) individuals. To analyze the biologically functional implications for ethnicity-specific SNPs, we focused on constructing a semantic network model. Entities for the network represented by "Gene," "Pathway," "Disease," "Chemical," "Drug," "ClinicalTrials," "SNP," and relationships between entity-entity were obtained through curation. Our semantic modeling for ethnicity-specific SNPs showed interesting results in the three categories, including three diseases ("AIDS-associated nephropathy," "Hypertension," and "Pelvic infection"), one drug ("Methylphenidate"), and five pathways ("Hemostasis," "Systemic lupus erythematosus," "Prostate cancer," "Hepatitis C virus," and "Rheumatoid arthritis"). We found ethnicity-specific genes using the semantic modeling, and the majority of our findings was consistent with the previous studies - that an understanding of genetic variability explained ethnicity-specific disparities.

• Genomics & Informatics
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• v.5 no.4
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• pp.152-160
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• 2007

Most common diseases are caused by multiple genetic and environmental factors. Among the genetic factors, single nucleotide polymorphisms (SNPs) are common DNA sequence variations in individuals and can serve as important genetic markers. Recently, investigations of gene-based and whole genome-based SNPs have been applied to association studies for marker discovery. However, SNPs are so population-specific that the association needs to be verified. Fifty-five genes and 384 SNPs were selected based on association with disease. Genotypes of 337 SNPs in candidate genes were determined using Illumina Sentrix Array Matrix (SAM) chips by an allele-specific extension method in 364 unrelated Korean individuals. Allelic frequencies of SNPs were compared with those of other populations obtained from the International HapMap database. Minor allele frequencies, linkage disequilibrium blocks, tagSNPs, and haplotypes of functional candidate SNPs in 55 genetic disease-associated genes were provided. Our data may provide useful information for the selection of genetic markers for gene-based genetic disease-association studies of the Korean population.

• Genomics & Informatics
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• v.5 no.2
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• pp.68-76
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• 2007

Due to the increasing interest in SNPs and mutational hot spots for disease traits, it is becoming more important to define and understand the relationship between SNPs and their flanking sequences. To study the effects of flanking sequences on SNPs, statistical approaches are necessary to assess bias in SNP data. In this study we mainly applied Markov chains for SNP sequences, particularly those located in intronic regions, and for analysis of in-del data. All of the pertaining sequences showed a significant tendency to generate particular SNP types. Most sequences flanking SNPs had lower complexities than average sequences, and some of them were associated with microsatellites. Moreover, many Alu repeats were found in the flanking sequences. We observed an elevated frequency of single-base-pair repeat-like sequences, mirror repeats, and palindromes in the SNP flanking sequence data. Alu repeats are hypothesized to be associated with C-to-T transition mutations or A-to-I RNA editing. In particular, the in-del data revealed an association between particular changes such as palindromes or mirror repeats. Results indicate that the mechanism of induction of in-del transitions is probably very different from that which is responsible for other SNPs. From a statistical perspective, frequent DNA lesions in some regions probably have effects on the occurrence of SNPs.

• Genomics & Informatics
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• v.7 no.2
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• pp.136-140
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• 2009

Genome-wide association (GWA) studies may benefit from the inclusion of imputed SNPs into their dataset. Due to its predictive nature, the imputation process is typically not perfect. Thus, it would be desirable to develop a scheme for filtering out the imputed SNPs by maximizing the concordance with the observed genotypes. We report such a scheme, which is based on the combination of several parameters that are calculated by PLINK, a popular GWA analysis software program. We imputed the genotypes of 8,842 Korean individuals, based on approximately 2 million SNP genotypes of the CHB＋JPT panel in the International HapMap Project Phase II data, complementing the 352k SNPs in the original Affymetrix 5.0 dataset. A total of 333,418 SNPs were found in both datasets, with a median concordance rate of 98.7%. The concordance rates were calculated at different ranges of parameters, such as the number of proxy SNPs (NPRX), the fraction of successfully imputed individuals (IMPUTED), and the information content (INFO). The poor concordance that was observed at the lower values of the parameters allowed us to develop an optimal combination of the cutoffs (IMPUTED${\geq}$0.9 and INFO${\geq}$0.9). A total of 1,026,596 SNPs passed the cutoff, of which 94,364 were found in both datasets and had 99.4% median concordance. This study illustrates a conservative scheme for filtering imputed SNPs that would be useful in GWA studies.