• Genomics & Informatics
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• v.5 no.4
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• pp.168-173
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• 2007

In previous nuclear genomic association studies, Random Forests (RF), one of several up-to-date machine learning methods, has been used successfully to generate evidence of association of genetic polymorphisms with diseases or other phenotypes. Compared with traditional statistical analytic methods, such as chi-square tests or logistic regression models, the RF method has advantages in handling large numbers of predictor variables and examining gene-gene interactions without a specific model. Here, we applied the RF method to find the association between mitochondrial single nucleotide polymorphisms (mtSNPs) and diabetes risk. The results from a chi-square test validated the usage of RF for association studies using mtDNA. Indexes of important variables such as the Gini index and mean decrease in accuracy index performed well compared with chi-square tests in favor of finding mtSNPs associated with a real disease example, type 2 diabetes.

• BMB Reports
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• v.37 no.1
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• pp.11-27
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• 2004

The introduction of molecular markers in genetic analysis has revolutionized medicine. These molecular markers are genetic variations associated with a predisposition to common diseases and individual variations in drug responses. Identification and genotyping a vast number of genetic polymorphisms in large populations are increasingly important for disease gene identification, pharmacogenetics and population-based studies. Among variations being analyzed, single nucleotide polymorphisms seem to be most useful in large-scale genetic analysis. This review discusses approaches for genetic analysis, use of different markers, and emerging technologies for large-scale genetic analysis where millions of genotyping need to be performed.

• Asian Pacific Journal of Cancer Prevention
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• v.17 no.4
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• pp.2199-2203
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• 2016

One of the most common cancer types faced by the women around the world is breast cancer. Among the several low, moderate and high penetrance genes conferring susceptibility to breast cancer, PTEN is one which is known to be mutated in many tumor types. In this study, we predicted and analyzed the impact of three deleterious coding non-synonymous single nucleotide polymorphisms rs121909218 (G129E), rs121909229 (R130Q) and rs57374291 (D107N) in the PTEN gene on the phenotype of breast tumors using computational tools SIFT, Polyphen-2, PROVEAN, MUPro, POPMusic and the GETAREA server.

• Journal of Sasang Constitutional Medicine
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• v.13 no.2
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• pp.177-181
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• 2001

Sasang Constitutional Medicine is based on the diversity of Human being and medically developed the response variation to diseases and medicines. The diversity is categorized as four from physiology, pathology, symptoms, to therapy. So that is related the difference of individual characteristics in Western Science. Single nucleotide polymorphism is the basic tool to research genetic polymorphisms. We researched the polymorphism site of MTHFR gene on 1p36.3, which is relatively reported the occlusive vascular disease. In the clinical research of brain infarction, the occurrence was different according to constitution. The 677C/T Polymorphism site of MTHFR was not significantly different in constitution group. But this research was the first trial about the single nucleotide polymorphism according to constitution. The more researchs of many genes are necessary to find the characteristics of constitution.

• Journal of Genetic Medicine
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• v.20 no.1
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• pp.15-24
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• 2023

Monogenic disorders are traditionally attributed to the presence of mutations in a single gene. However, recent advancements in genomics have revealed instances where the phenotypic expression of apparently monogenic disorders cannot be fully explained by mutations in a single gene alone. This review article aims to explore the emerging concept of digenic or oligogenic inheritance in seemingly monogenic disorders. We discuss the underlying mechanisms, clinical implications, and the challenges associated with deciphering the contribution of multiple genes in the development and manifestation of such disorders. We present relevant studies and highlight the importance of adopting a broader genetic approach in understanding the complex genetic architecture of these conditions.

• Proceedings of the Plant Resources Society of Korea Conference
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• 2021.04a
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• pp.22-22
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• 2021

큰졸방제비꽃(Viola kusanoana)의 엽록체 DNA 염기서열을 밝히고자 차세대염기서열분석법(NGS)을 이용하여 분석하였다. 재료는 경상북도 울릉군 나리분지에 자생하는 개체의 잎을 사용하였다. 염기서열 분석결과, 총 길이는 158,644 bp 였고, GC함량은 36.3%로 분석되었다. 구간별로는 LSC (Large single copy)지역이 86,999 bp (GC content: 33.9%)였고 SSC (Small single copy)지역은 17,439 bp (GC content: 29.9%)으로 분석되었으며 IR (Invertied repeats)지역은 27,103 bp (GC content: 42.2%)로 확인되었다. 유전자는 protein coding gene 77개, tRNA gene 30개, rRNA 4개 등 총 111개로 이는 선행 연구된 제비꽃속 8개 분류군과 유전자의 순서와 방향이 모두 일치하였다. 이를 통해 제비꽃속의 엽록체 게놈의 유전자는 상당히 보존되어 있음을 확인하였다.

• Journal of Sericultural and Entomological Science
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• v.39 no.2
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• pp.205-209
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• 1997

In a line X tester crossing programme (24 lines 2 testers) the general combining ability (GCA) and specific combining ability (SCA) effects were analyzed for five economic characters in the bivoltine silkworm, Bombyx mori L. The results showed desired GCA effects in 934D1 (9500), 934B (9789) and 934A1 (9855) for cocoon yield per 10,000 larvae brushed by number. Likewise, the lines found to be superior based on GCA effects for other characters were as follows; 931D (14.040 Kgs), 935E (17.023 Kga.), 934D1 (15.643 Kgs.) and 934B (15.687 Kgs.) for cocoon yield by weight: 931D (1.717 g) and 930E (1.796 g) for single cocoon weight; 932B (0.330 g) for single shell weight: 931D (1.717 g) and 930e (1.796 g) for single cocoon weight; 932B (0.330 g) for single shell weight; 932B (18.7%), 933A (18.86%) and 935A (19.89%) for shell ratio. SCA effects showed the superiority of 932D$\times$KA (9822 cocoon yield per 10,000 larvae brushed by number); 932A$\times$NB4D2 (16.933 Kgs. cocoon yield per 10,000 larvae brushed by weight); 931C$\times$KA (1.911 g single cocoon weight); 934$\times$NB4D2 (0.371 g single shell weight and 21.0% shell ratio). The analysis indicated non-additive gene action for all the five characters.

• Horticultural Science & Technology
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• v.28 no.5
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• pp.818-827
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• 2010

A full-length cDNA and genomic DNA of a $leucoanthocyanidin$ $dioxygenase$ ($DgLDOX$) gene was isolated from the petals of chrysanthemum 'Argus', and comparative features of the gene among three flower color mutants derived from a gamma-ray mutagenesis were characterized. The cDNA coding region of the gene was 1068 bp and was translated into 356 amino acids accordingly. The genomic DNA size was 1346 bp for 'Argus', while three mutants revealed ranges of 1363 to 1374 bp. A single intron between two coding exons for the $DgLDOX$ gene was found, of which size was 112 bp for 'Argus', but 128 or 137 bp for three flower color mutants, indicating that a genomic insertion in the intron occurred during the gamma-ray mutagenesis. DNA blot analysis revealed the $DgLDOX$ gene presenting as a single copy in the chrysanthemum genome. The $DgLDOX$ gene was expressed in both 'Argus' of light-pink color and two purple color mutants (AM1 and AM3) but had very weak expression in only white color mutant (AM2). The results demonstrated that variations in the flower color of the mutants might be associated with changes in the amino acid moieties in the coding exons or fragment insertions in the intron of the $DgLDOX$ gene, which potentially resulted in less expression of the gene in the white colored mutant.

• Molecules and Cells
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• v.42 no.3
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• pp.189-199
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• 2019

Cell-to-cell variability in gene expression exists even in a homogeneous population of cells. Dissecting such cellular heterogeneity within a biological system is a prerequisite for understanding how a biological system is developed, homeostatically regulated, and responds to external perturbations. Single-cell RNA sequencing (scRNA-seq) allows the quantitative and unbiased characterization of cellular heterogeneity by providing genome-wide molecular profiles from tens of thousands of individual cells. A major question in analyzing scRNA-seq data is how to account for the observed cell-to-cell variability. In this review, we provide an overview of scRNA-seq protocols, computational approaches for dissecting cellular heterogeneity, and future directions of single-cell transcriptomic analysis.

• Asian-Australasian Journal of Animal Sciences
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• v.24 no.1
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• pp.9-16
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• 2011

The calpain I (CAPN1) gene is an important marker for meat tenderness and marbling score in the bovine, but there were no studies to determine whether the CAPN1 gene had an association with other meat quality traits. In this study, we examined the relation between genetic polymorphisms of the CAPN1 gene and some meat quality traits in Yanbian Yellow Cattle of China. By PCRSSCP and gene sequencing in 321 unrelated Yanbian yellow cattle, twenty seven single nucleotide polymorphisms (SNPs) were detected in CAPN1, two existed SNPs in exon 8 and exon 17 resulted in the change of AA at F311S and M599V, respectively, and the otherpolymorphisms were at intron 7, 8, 14, 16 and 17. There were different preponderant genotypes at the corresponding gene locus and all genotypes were not associated with tenderness but other meat traits. This is the first study of the relationship between CAPN1 and meat quality besides tenderness in Yanbian yellow cattle of China.