• KSBB Journal
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• 제24권4호
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• pp.410-414
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• 2009

단염기 다양성 (Single-Nucleotide Polymorphisms, SNPs)은 핵산수준에서의 개개인의 유전 서열간의 차이를 나타내는 말로 최근 맞춤의약 분야에서 각광 받고 있다. 일반적으로 SNPs존재 유무를 확인하는데 주로 사용되는 방법은 ABI automated DNA sequencer와 같은 대용량 염기서열 결정 기계에서 산출되는 결과물 파일로부터 DNA서열을 추출하여 BLAST와 같은 상동성 검색을 수행하는 것이다. 본 논문에서는 사용자로부터 참조서열, AB1파일, SNPs 존재 가능성을 가진 염기의 위치 정보를 입력 값으로 받아 해당 위치에 존재하는 염기의 SNPs 치환 및 heterozygosity 여부를 확인 할 수 있는 프로그램인 SNPchaser를 개발하였다. 특정 유전자 서열 내에서 SNPs를 보이는 염기의 위치에 대한 정보를 사용자가 알고 있는 경우, 전체 유전자 서열에 대해 SNPs유무를 조사할 필요 없이 SNPs를 보인다고 보고된 위치의 염기를 조사하여 SNPs유무를 판단하고, 해당지역의 염기의 chromatogram정보를 사용자에게 제공하는 기능을 가지고 있다. 또한 SNPchaser는 사람과 같은 2배체의 염색체를 가진 생명체에 존재 하는 SNPs지역의 염기에 대한 heterozygosity여부를 사용자가 손쉽게 판별할 수 있도록 하였다. 본 논문에서 개발한 SNPchaser는 http://www.bioinformatics.ac.kr/SNPchaser에서 사용 가능하다.

• Korean Chemical Engineering Research
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• 제50권2호
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• pp.371-378
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• 2012

3-Glycidoxypropyltrimethoxy silane(GPTMS)으로 친수성의 실리카 나노입자(SNPs)를 소수화하였으며, 소수화된 SNPs를 폴리우레탄-우레아(PUU) 에멀젼과 혼합하여 SNPs/PUU 나노복합체 필름을 제조하였다. 필름 제조 후 PUU 매트릭스 내 SNPs의 함량, SNPs 표면의 소수화 정도, 에폭시 그룹과의 열경화 반응 여부가 필름의 물성에 미치는 영향을 분석하였다. SNP 표면에 도입된 GPTMS의 최대 함량은 $1.99{\times}10^{-6}\;mol/m^2$로 SNP 표면적 기준으로 약 53% 수준이었다. GPTMS에 의한 소수화로 PUU 매트릭스 내 SNPs의 분산성이 향상되었으며, SNPs 함량이 5 wt.%에서 20 wt.%로 증가함에 따라 SNPs/PUU 나노복합체 필름의 유연성은 감소하였으나, 열 안정성은 증가하였다. 특히 Young's modulus와 tensile modulus는 에폭시의 열경화 반응 후에 크게 증가하였다.

• 전자공학회논문지
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• 제52권3호
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• pp.190-195
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• 2015

돌연변이 및 유전병의 원인이 되고 있는 유전자 단일염기 다형성(single nucleotide polymorphisms; SNPs) 검출은 조기진단, 치료 및 제약등 바이오관련 분야에서 매우 중요하다. SNPs 검출을 위한 방법은 다양하게 제시되고 있으나 상보적 DNA와 SNPs의 에너지 차이가 미세하여 SNPs 검출에는 많은 어려움이 존재한다. 본 논문에서는 SNPs를 검출하기 위하여 전하 검출형 전계효과 트랜지스터(field-effect transistors; FETs)를 이용하여 DNA가 가지고 있는 음전하 측정 방법으로 SNPs를 검출하였다. 상보적 DNA와 SNPs의 미세한 에너지 차이를 구분하기 위하여 타게트 DNA hybridization공정에서 드레인-소스 전극에 -0.3 V의 음전압을 인가하였다. 음전압 인가에 따라 DNA 자체 음전하와 센서 표면의 음전압의 전기적 반발력에 의해 센서에 검출되는 타게트 DNA hybridization 신호 크기는 감소하였으나 상보적 DNA와 SNPs의 신호 차는 1.7 mV에서 8.7 mV로 5배 이상 증가하여 검출되었다.

• 대한의생명과학회지
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• 제25권2호
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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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• 제49권3호
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• pp.295-302
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• 2007

본 연구는 한우 24두의 혈액으로부터 geno- mic DNA를 추출하여 leptin 유전자의 intron 1부터 3’-UTR 부분까지의 염기 서열을 결정하여 총 25개의 SNPs을 발굴하였다. 발굴된 SNPs 중 16개는 기존의 서양 품종에서도 발견되는 것으로 그 빈도는 대부분의 경우 유사하였으나, 서로 유의성이 있도록 상이한 경우도 있었다. Intron 1의 T1064G, exon 2에서 발견된 nonsynonymous SNP(T1163A, Val to Glu)과 exon 3의 C3011G 및 G3256A(Gly to Asp) SNPs은 기존에 보고되지 않은 한우에서 새롭게 발견된 것으로 종 간의 차이를 나타내는 것으로 사료된다. 이러한 한우의 SNPs 정보는 한우의 유전형을 결정하고, 도체 및 육질 형질 등 중요 경제 형질과의 연관 분석을 통하여 중요한 유전자 표지 확보 및 한우 판별 등의 응용에 이용될 수 있을 것으로 사료된다.

• Animal Bioscience
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• 제36권2호
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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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• 제12권1호
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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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• 제5권4호
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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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• 제5권2호
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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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• 제7권2호
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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.