• The Korean Journal of Applied Statistics
• /
• v.23 no.1
• /
• pp.95-111
• /
• 2010

Recently, there have been lots of study for disease-genetic association using SNPs and haplotypes. Statistical methods and tools for various types of data are developed by many researchers. However, there is no unified software which can handle most of major analysis, and the methods and manners to deal with data are quite different through softwares. And thus it is not easy to researcher to choose proper software. In this study, we devide analyzing procedures into three steps: preliminary analysis, population-based analysis and family-based analysis. We review the statistical methods for each step and compare the features of the FBAT, SAS/Genetics, SAGE and R as major integrating softwares for genetic study.

• Asian-Australasian Journal of Animal Sciences
• /
• v.30 no.6
• /
• pp.765-772
• /
• 2017

Objective: This study examines the genetic factors influencing the phenotypes (four economic traits:oleic acid [C18:1], monounsaturated fatty acids, carcass weight, and marbling score) of Hanwoo. Methods: To enhance the accuracy of the genetic analysis, the study proposes a new statistical model that excludes environmental factors. A statistically adjusted, analysis of covariance model of environmental and genetic factors was developed, and estimated environmental effects (covariate effects of age and effects of calving farms) were excluded from the model. Results: The accuracy was compared before and after adjustment. The accuracy of the best single nucleotide polymorphism (SNP) in C18:1 increased from 60.16% to 74.26%, and that of the two-factor interaction increased from 58.69% to 87.19%. Also, superior SNPs and SNP interactions were identified using the multifactor dimensionality reduction method in Table 1 to 4. Finally, high- and low-risk genotypes were compared based on their mean scores for each trait. Conclusion: The proposed method significantly improved the analysis accuracy and identified superior gene-gene interactions and genotypes for each of the four economic traits of Hanwoo.

• The Plant Pathology Journal
• /
• v.30 no.1
• /
• pp.10-24
• /
• 2014

Genetic diversity and differentiation of 50 Colletotrichum spp. isolates from legume crops studied through multigene loci, RAPD and ISSR analysis. DNA sequence comparisons by six genes (ITS, ACT, Tub2, CHS-1, GAPDH, and HIS3) verified species identity of C. truncatum, C. dematium and C. gloeosporiodes and identity C. capsici as a synonym of C. truncatum. Based on the matrix distance analysis of multigene sequences, the Colletotrichum species showed diverse degrees of intera and interspecific divergence (0.0 to 1.4%) and (15.5-19.9), respectively. A multilocus molecular phylogenetic analysis clustered Colletotrichum spp. isolates into 3 well-defined clades, representing three distinct species; C. truncatum, C. dematium and C. gloeosporioides. The ISSR and RAPD and cluster analysis exhibited a high degree of variability among different isolates and permitted the grouping of isolates of Colletotrichum spp. into three distinct clusters. Distinct populations of Colletotrichum spp. isolates were genetically in accordance with host specificity and inconsistent with geographical origins. The large population of C. truncatum showed greater amounts of genetic diversity than smaller populations of C. dematium and C. gloeosporioides species. Results of ISSR and RAPD markers were congruent, but the effective maker ratio and the number of private alleles were greater in ISSR markers.

• Journal of Korean Society of Steel Construction
• /
• v.18 no.6
• /
• pp.707-716
• /
• 2006

The optimization of the direct design system of semi-rigid steel frames using advanced analysis and genetic algorithm was presented. Advanced analysis can predict the combined nonlinear effects of connection, geometry, and material on the behavior and strength of semi-rigid frames. Geometric nonlinearity was determined using stability functions. On the other hand, material nonlinearity was determined using the Column Research Council (CRC) tangent modulus and parabolic function. The Kishi-Chen power model was used to describe the nonlinear behavior of semi-rigid connections. The genetic algorithm was used as the optimization technique. The objective function was assumed as the weight of the steel frame, with the constraint functions accounting for load-carrying capacities, deflections, inter-story drifts and ductility requirement. Member sizes determined by the proposed method were compared with those derived using the conventional method.

• Journal of Korea Water Resources Association
• /
• v.31 no.1
• /
• pp.59-69
• /
• 1998

A regression model with basin physiographic characteristics as independent variables was calibrated for regional flood frequency analysis. In case that high correlations existing among the independent variables the ridge regression has been known to have capability of overcoming the problems of multicollinearity. To optimize the ridge regression model the cost function including regularization parameter must be minimized. In this research the genetic algorithm was applied on this optimization problem. The genetic algorithm is a stochastic search method that mimic the metaphor of natural biological heredity. Using this method the regression model could have optimized and stable weights of variables.

• Korean Journal of Microbiology
• /
• v.35 no.2
• /
• pp.107-114
• /
• 1999

To assess genetic diversity amoug 21 strains from sixleen Frrsn~i~nn species , we used RAPD(rando1n amplified pol.ymorphic DNA) analysis based on PCR(po1ymerase chain reaction). Eleven primers showing Ule polymorphism were chosen from the 40 random pnmers-tcstcd. A total of 263 polymorphic bands were generated by the primers and the size of amplified DNA fragments ranged from 0.1 lo 3.0 kb. Sirnilku-it), coefficients between strains were calcnlatcd, and UPGMA cluster analysis was used to generate a dendrogram showing relationships among them. The results from RAPD-PCR analysis were grouped into four main groups at the si~nilarity level of 0.627.

• Plant Resources
• /
• v.8 no.2
• /
• pp.135-144
• /
• 2005

RAPD analysis was performed to discuss the taxonomic status and phylogenetic relationships among the tribe Forsythieae and related groups. Two hundred and eighteen scorable polymorphic bands were detected from fourteen oligonucleotide primers. From the results of RAPD analysis by Nei and Li's genetic distance, each individuals of Abeliophyllum distichum showed high genetic relationships with ranging from 0.085 to 0.301, also the genus Forsythia showed from 0.042 to 0.655 among the species and populations. But, Abeliophyllum and Forsythia showed distinct dissimilarity, ranging from 0.610 to 1.258. And genetic differences among the population of Forsythia were 0.042 in F. koreana, 0.275 in F. saxatilis, 0.275 in F. ovata, 0.279 in F. nakaii, and 0.249 in F. viridissima. The UPGMA phenogram of tribe Forsythieae based on the results of RAPD analysis were presented that Abeliophyllum is distinct genus different from Forsythia. NJ tree which applied as the outgroups Fontanesia and Jasminum was derived, and it showed that tribe Forsythieae might be a monophyletic group. The genus Fontanesia was showed as sister group of tribe Forsythieae. Among the populations of taxa in Forsythia, F. koreana and F. saxatilis were more closely related, and F. ovata and F. nakaii were very closely related to F.japonica. And Fontanesia was the sister group of tribe Forsythieae.

• Journal of Crop Science and Biotechnology
• /
• v.10 no.2
• /
• pp.106-111
• /
• 2007

Increasing genetic variability with mutagenic agents has been broadly employed in plant breeding because it has the potential to alter one or more desirable traits. In this study, a molecular analysis assessed by Amplified Fragment Length Polymorphisms(AFLPs) and a morphological analysis based on seedlings subjected to aluminum stress were compared. Also, an analysis of allelic frequencies was performed to observe unique alleles present in the pool. Genetic distances ranging from 0.448 to 0.953 were observed, suggesting that mutation inducing was effective in generating variability. The genetic distances based on morphological data ranged from 0(genotypes 22 and 23) to 30.38(genotypes 15 and 29). In the analysis of allelic frequency, 13 genotypes presented unique alleles, suggesting that mutation inducing was also targeting unique sites. Mutants with good performance under aluminum stress(9, 15, 18 and 27) did not form the same clusters when morphological and molecular analyses were compared, suggesting that different genomic regions may be responsible for their better performance.

• Journal of Veterinary Science
• /
• v.22 no.6
• /
• pp.66.1-66.9
• /
• 2021

Background: Maedi/Visna virus (MVV) is a contagious viral pathogen that causes considerable economic losses to the sheep industry worldwide. Objectives: In China, MVV has been detected in several regions, but its molecular characteristics and genetic variations were not thoroughly investigated. Methods: Therefore, in this study, we conducted next-generation sequencing on an MVV strain obtained from northwest China to reveal its genetic evolution via phylogenetic analysis. Results: A MVV strain obtained from Inner Mongolia (NM) of China was identified. Sequence analysis indicated that its whole-genome length is 9193 bp. Homology comparison of nucleotides between the NM strain and reference strains showed that the sequence homology of gag and env were 77.1%-86.8% and 67.7%-75.5%, respectively. Phylogenetic analysis revealed that the NM strain was closely related to the reference strains isolated from America, which belong to the A2 type. Notably, there were 5 amino acid insertions in variable region 4 and a highly variable motif at the C-terminal of the surface glycoprotein (SU5). Conclusions: The present study is the first to show the whole-genome sequence of an MVV obtained from China. The detailed analyses provide essential information for understanding the genetic characteristics of MVV, and the results enrich the MVV library.

• Journal of Korean Society of Forest Science
• /
• v.103 no.1
• /
• pp.59-64
• /
• 2014

This study describes analysis of genetic diversity and spatial genetic structure of Korean poplar (Populus koreana Rehder) in Mt. Odae using I-SSR markers. P. koreana is a deciduous broad-leaved tree species that primarily grows in the alpine valleys of China, Russia and North Korea. In South Korea, P. koreana is found limitedly in Gangwon province. Especially, the population in Mt. Odae is located on the southern limit line, its importance is emphasized from the genetic resource conservation perspective. The Shannon's diversity (I=0.230) and the expected heterozygosity (He=0.151) were relatively low as compared with those of other plant species. Spatial autocorrelation analysis using Tanimoto's distance showed that the genetic patch was founded within 400 m. It is suggested that individual trees for ex situ conservation should be sampled with a minimum distance of 400 m between trees.