• Title/Summary/Keyword: Genetic test

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Meta-Analysis of the Association between the rs8034191 Polymorphism in AGPHD1 and Lung Cancer Risk

  • Zhang, Le;Jin, Tian-Bo;Gao, Ya;Wang, Hui-Juan;Yang, Hua;Feng, Tian;Chen, Chen;Kang, Long-Li;Chen, Chao
    • Asian Pacific Journal of Cancer Prevention
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    • v.16 no.7
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    • pp.2713-2717
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    • 2015
  • Background: Possible associations between the single nucleotide polymorphism (SNP) rs8034191 in the aminoglycosidephosphotransferase domain containing 1 (AGPHD1) gene and lung cancer risk have been studied by many researchers but the results have been contradictory. Materials and Methods: A computerized search for publications on rs8034191 and lung cancer risk was performed. Odds ratios (ORs) with 95% confidence intervals (CIs) were calculated to assess the association between rs8034191 and lung cancer risk with 13 selected case-control studies. Sensitivity analysis, test of heterogeneity, cumulative meta-analysis, and assessment of bias were also performed. Results: A significant association between rs8034191 and lung cancer susceptibility was found using the dominant genetic model (OR=1.344, 95% CI: 1.285-1.406), the additive genetic model (OR=1.613, 95% CI: 1.503-1.730), and the recessive genetic model (OR=1.408, 95% CI: 1.319-1.503). Moreover, an increased lung cancer risk was found with all genetic models after stratification of ethnicity. Conclusions: The association between rs8034191 and lung cancer risk was significant using multiple genetic models, suggesting that rs8034191 is a risk factor for lung cancer. Further functional studies of this polymorphism and lung cancer risk are warranted.

A study on the relationship between the longevity and profitability of dairy cattle (젖소의 장수성과 수익성 관계 연구)

  • Do, Chang Hee;Cho, Jae Sung;Cho, Kwang Hyun;Yang, Boh Suk;Yun, Ho Baek;Lee, Ji Su
    • Korean Journal of Agricultural Science
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    • v.42 no.3
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    • pp.245-251
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    • 2015
  • Records of 490,767 cows collected from 1990 to 2012 by dairy herd milk test of National Agriculture Cooperative Federation The pedigree of dairy cattle were provided by Korea Animal Improvement Association. The data were used to analyze the longevity of dairy cows with the life traits such as days in milk, number of lactation, productive life, and life span. The data were also used to investigate genetic relationship of these longevity traits with profitability of dairy cows, including heritability and genetic correlation. The profitability was calculated with simulation of milk income and production costs for individual cows. Days in milk among the traits had -0.287, -0.572 and -0.536 of genetic correlation with number of lactations, productive life and lifespan, respectively. The heritabilities of life span, number of lactations, productive life, and days in milk were found to be 0.045, 0.047, 0.059 and 0.081, respectively. Genetic correlations of profit with productive life, number of lactations, and days in milk were identified as 0.072, 0.080, 0.098 and 0.101. These results suggested that days in milk was most desirable traits to represent longevity of Holstein dairy cattle. In general, since longevity and profitability were close genetic relationship each other, genetic improvement of longevity is necessary for better profitable cows.

An Efficient Genetic Algorithm for the Allocation and Engagement Scheduling of Interceptor Missiles (효율적인 유전 알고리즘을 활용한 요격미사일 할당 및 교전 일정계획의 최적화)

  • Lee, Dae Ryeock;Yang, Jaehwan
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.39 no.2
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    • pp.88-102
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    • 2016
  • This paper considers the allocation and engagement scheduling problem of interceptor missiles, and the problem was formulated by using MIP (mixed integer programming) in the previous research. The objective of the model is the maximization of total intercept altitude instead of the more conventional objective such as the minimization of surviving target value. The concept of the time window was used to model the engagement situation and a continuous time is assumed for flying times of the both missiles. The MIP formulation of the problem is very complex due to the complexity of the real problem itself. Hence, the finding of an efficient optimal solution procedure seems to be difficult. In this paper, an efficient genetic algorithm is developed by improving a general genetic algorithm. The improvement is achieved by carefully analyzing the structure of the formulation. Specifically, the new algorithm includes an enhanced repair process and a crossover operation which utilizes the idea of the PSO (particle swarm optimization). Then, the algorithm is throughly tested on 50 randomly generated engagement scenarios, and its performance is compared with that of a commercial package and a more general genetic algorithm, respectively. The results indicate that the new algorithm consistently performs better than a general genetic algorithm. Also, the new algorithm generates much better results than those by the commercial package on several test cases when the execution time of the commercial package is limited to 8,000 seconds, which is about two hours and 13 minutes. Moreover, it obtains a solution within 0.13~33.34 seconds depending on the size of scenarios.

Implementing and Evaluating a Nurse Led Hereditary Cancer Genetics Educational Program in a Korean Breast Cancer Surgery Clinic (한국형 유방 난소 종양유전상담 프로그램 적용 및 평가)

  • Choi, Kyung-Sook;Jun, Myung-Hee;Ahn, Sei-Hyun;Anderson, Gwen
    • Korean Journal of Adult Nursing
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    • v.20 no.6
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    • pp.815-828
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    • 2008
  • Purpose: This study was to develop and evaluate the clinical utility of the breast and ovarian cancer genetic counselling program specific for 20 Korean women(KBOCGP). Methods: The KBOCGP was developed using three types of approaches: an ethnography among Korean women who underwent BRCA1/2 test, designing and implementing one week clinical genetic educational course for clinical cancer nurses, educational observation visits to three American cancer genetic counselling programs. And then pre-experimental design was implicated to evaluate the change of the women's knowledge about the hereditary breast and ovarian cancer and the level of the satisfaction with genetic counselling. Results: The mean score of the knowledge has significantly increased from $7.45{\pm}3.86$ to $11.55{\pm}2.21$ (t = 5.63, p < .001). The level of the satisfaction with the counselling was very high ($27.47{\pm}1.35$). Because most of the subjects have young kids, they showed strong concerns about their kids' getting cancer. Conclusion: This new KBOCGP is the satisfactory program for the education and communication of the genetic information to the Korean women with HBOC. But it is needed more to strengthen the cultural sensitivity especially to Korean family relationships. Authors recommend that this program be provided by other nurses who are counselling women at high risk of breast cancer.

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Resistance Function of Rice Lipid Transfer Protein LTP110

  • Ge, Xiaochun;Chen, Jichao;Li, Ning;Lin, Yi;Sun, Chongrong;Cao, Kaiming
    • BMB Reports
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    • v.36 no.6
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    • pp.603-607
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    • 2003
  • Abstract Plant lipid transfer proteins (LTPs) are a class of proteins whose functions are still unknown. Some are proposed to have antimicrobial activities. To understand whether LTP110, a rice LTP that we previously identified from rice leaves, plays a role in the protection function against some serious rice pathogens, we investigated the antifungal and antibacterial properties of LTP110. A cDNA sequence, encoding the mature peptide of LTP110, was cloned into the Impact-CN prokaryotic expression system. The purified protein was used for an in vitro inhibition test against rice pathogens, Pyricularia oryzae and Xanthomonas oryzae. The results showed that LTP110 inhibited the germination of Pyricularia oryzae spores, and its inhibitory activity decreased in the presence of a divalent cation. This suggests that the antifungal activity is affected by ions in the media; LTP110 only slightly inhibited the growth of Xanthomonas oryzae. However, the addition of LTP110 to cultured Chinese hamster ovarian cells did not retard growth, suggesting that the toxicity of LTP110 is only restricted to some cell types. Its antimicrobial activity is potentially due to interactions between LTP and microbe-specific structures.

Genetic Relationship between Ultrasonic and Carcass Measurements for Meat Qualities in Korean Steers

  • Lee, D.H.;Kim, H.C.
    • Asian-Australasian Journal of Animal Sciences
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    • v.17 no.1
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    • pp.7-12
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    • 2004
  • Real time ultrasonic measurements for 13th rib fat thickness (LBF), longissimus muscle area (LEMA) and marbling score (LMS) of live animal at pre-harvest and subsequent carcass measurements for fat thickness (BF), longissimus muscle area (EMA), marbling score (MS) as well as body weight of live animal, carcass weight (CW), dressing percentage (DP), and total merit index (TMI) on 755 Korean beef steers were analyzed to estimate genetic parameters. Data were analyzed using multivariate animal models with an EM-REML algorithm. Models included fixed effects for year-season of birth, location of birth, test station, age of dam, linear and quadratic covariates for age or body weight at slaughter and random animal and residual effects. The heritability estimates for LEMA, LBF and LMS on RTU scans were 0.17, 0.41 and 0.55 in the age-adjusted model (Model 1) and 0.20, 0.52 and 0.55 in the weight-adjusted model (Model 2), respectively. The Heritability estimates for subsequent traits on carcass measures were 0.20, 0.38 and 0.54 in Model 1 and 0.23, 0.46 and 0.55 in Model 2, respectively. Genetic correlation estimate between LEMA and EMA was 0.81 and 0.79 in Model 1 and Model 2, respectively. Genetic correlation estimate between LBF and BF were high as 0.97 in Model 1 and 0.98 in Model 2. Real time ultrasonic marbling score were highly genetically correlated to carcass MS of 0.89 in Model 1 and 0.92 in Model 2. These results indicate that RTU scans would be alterative to carcass measurement for genetic evaluation of meat quality in a designed progeny-testing program in Korean beef cattle.

A Moving Picture Coding Method Based on Region Segmentation Using Genetic Algorithm (유전적 알고리즘을 이용한 동화상의 영역분할 부호화 방법)

  • Jung, Nam-Chae
    • Journal of the Institute of Convergence Signal Processing
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    • v.10 no.1
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    • pp.32-39
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    • 2009
  • In this paper, the method of region segmentation using genetic algorithm is proposed for an improvement of efficiency in moving picture coding. A genetic algorithm is the method that searches a large probing space using only a function value for a optimal combination consecutively. By progressing both motion presumption and region segmentation at once, we can assign the motion vector in a image to a small block or a pixel respectively, and transform the capacity of coding and a signal to noise rate into a problem of optimization. That is to say, there is close correlation between region segmentation and motion presumption in motion-compensated prediction coding. This is to optimize the capacity of coding and a S/N ratio. This is to arrange the motion vector in each block of picture according to the state of optimization. Therefore, we examined both the data type of genetic algorithm and the method of data processing to obtain the results of optimal region segmentation in this paper. And we confirmed the validity of a proposed method using the test pictures by means of computer simulation.

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Genetic Variation in the Natural Populations of Abies holophylla Max. Based on RAPD Analysis (RAPD 분석(分析)에 의한 전나무 천연집단(天然集團)의 유전변이(遺傳變異))

  • Kim, In Sik;Hyun, Jung Oh
    • Journal of Korean Society of Forest Science
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    • v.88 no.3
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    • pp.408-418
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    • 1999
  • On the basin of RAPD analysis, genetic diversity and structure of the natural populations of Abies holophylla was estimated by AMOVA procedure. The average value of percent of polymorphic markers was 71.9%. Most variation existed among individuals within population(80.2%). Genetic differentiation among populations(${\Phi}_{ST}$) was 0.198. When the populations were grouped as two region(i.e., Taebaek and Sobaek Mountain Regions), 8.5% of the total genetic variation was explained as regional differences. The heterogeneity of molecular variance among populations was investigated with Bartlett's test, which revealed that populations of Mt. Taebaek and Mt. Gariwang were more heterogeneous. Generally, the populations of Taebaek Mountain Reion were more heterogeneous than those of Sobaek Mountain Reion. Finally, the applicability of AMOVA to the populations frenetic study was discussed in comparison with other measures of genetic differentiation which were widely used.

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Knowledge and Information Need for Prenatal Genetic Screening and Diagnosis and Attitude toward Terminating Pregnancy among Pregnant Women in South Korea (임산부의 산전 기형아 검사에 관한 지식과 정보 요구 및 낙태에 대한 태도)

  • Jun, Myunghee;Shin, Gyeyoung;Kim, Hye-Kyung
    • The Journal of Korean Academic Society of Nursing Education
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    • v.24 no.4
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    • pp.463-477
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    • 2018
  • Purpose: This study identifies correlations among information needs and knowledge about prenatal genetic screening and diagnosis (I-PGSD & K-PGSD), and attitude toward terminating pregnancy (ATP) among pregnant women in South Korea. Methods: A descriptive survey was conducted from January 2013 to April 2014 in South Korea. 222 pregnant women responded to three questionnaires developed by the authors. The questionnaire for I-PGSD consisted of 19 questions; 18 questions for K-PGSD; and 10 questions for ATP. Results: Mean scores were $80.46{\pm}11.73$ for I-PGSD; $14.86{\pm}3.74$ for K-PGSD; and $33.71{\pm}6.13$ for ATP. The ATP score was positively correlated with the I-PGSD and K-PGSD scores, but statistically significant with only I-PGSD (p=.006). I-PGSD scores were higher than average on three genetic syndromes (Down, Patau, and Edwards syndrome), on management after the diagnosis of positive fetal aneuploidy, and on test result interpretation after the amniocentesis and level II fetal ultrasonogram. Conclusions: In light of current legal and moral controversy regarding terminating pregnancy and rapidly advancing prenatal genetic testing technology, more prenatal genetic education for nurses and nursing students who teach pregnant women is needed. In addition, more professional counseling services provided by trained nurses are also required.

A Study on the Prediction of the Nonlinear Chaotic Time Series Using Genetic Algorithm based Fuzzy Neural Network (유전 알고리즘을 이용한 퍼지신경망의 시계열 예측에 관한 연구)

  • Park, In-Kyu
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.11 no.4
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    • pp.91-97
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    • 2011
  • In this paper we present an approach to the structure identification based on genetic algorithm and to the parameter identification by hybrid learning method in neuro-fuzzy-genetic hybrid system in order to predicate the Mackey-Glass Chaotic time series. In this scheme the basic idea consists of two steps. One is the construction of a fuzzy rule base for the partitioned input space via genetic algorithm, the other is the corresponding parameters of the fuzzy control rules adapted by the backpropagation algorithm. In an attempt to test the performance the proposed system, three patterns, x(t-3), x(t-6) and x(t-9), was prepared according to time interval. It was through lots of simulation proved that the initial small error of learning owed to the good structural identification via genetic algorithm. The performance was showed in Table 2.