• 제목/요약/키워드: Genetic test

검색결과 1,354건 처리시간 0.025초

Random Regression Models Using Legendre Polynomials to Estimate Genetic Parameters for Test-day Milk Protein Yields in Iranian Holstein Dairy Cattle

  • Naserkheil, Masoumeh;Miraie-Ashtiani, Seyed Reza;Nejati-Javaremi, Ardeshir;Son, Jihyun;Lee, Deukhwan
    • Asian-Australasian Journal of Animal Sciences
    • /
    • 제29권12호
    • /
    • pp.1682-1687
    • /
    • 2016
  • The objective of this study was to estimate the genetic parameters of milk protein yields in Iranian Holstein dairy cattle. A total of 1,112,082 test-day milk protein yield records of 167,269 first lactation Holstein cows, calved from 1990 to 2010, were analyzed. Estimates of the variance components, heritability, and genetic correlations for milk protein yields were obtained using a random regression test-day model. Milking times, herd, age of recording, year, and month of recording were included as fixed effects in the model. Additive genetic and permanent environmental random effects for the lactation curve were taken into account by applying orthogonal Legendre polynomials of the fourth order in the model. The lowest and highest additive genetic variances were estimated at the beginning and end of lactation, respectively. Permanent environmental variance was higher at both extremes. Residual variance was lowest at the middle of the lactation and contrarily, heritability increased during this period. Maximum heritability was found during the 12th lactation stage ($0.213{\pm}0.007$). Genetic, permanent, and phenotypic correlations among test-days decreased as the interval between consecutive test-days increased. A relatively large data set was used in this study; therefore, the estimated (co)variance components for random regression coefficients could be used for national genetic evaluation of dairy cattle in Iran.

유전자 알고리즘을 이용한 SUSPENSION SEAT SYSTEM의 진동 승차감 최적화 (Vibration Ride Quality Optimization of a Suspension Seat System Using Genetic Algorithm)

  • 박선균;최영휴;최헌오;배병태
    • 대한기계학회:학술대회논문집
    • /
    • 대한기계학회 2001년도 춘계학술대회논문집B
    • /
    • pp.584-589
    • /
    • 2001
  • This paper presents the dynamic parameter design optimization of a suspension seat system using the genetic algorithm. At first, an equivalent 1-D.O.F. mass-spring-damper model of a suspension seat system was constructed for the purpose of its vibration analysis. Vertical vibration response and transmissibility of the equivalent model due to base excitations, which are defined in the ISO's seat vibration test codes, were computed. Furthermore, seat vibration test, that is ISO's damping test, was carried out in order to investigate the validity of the equivalent suspension seat model. Both analytical and experimental results showed good agreement each other. For the design optimization, the acceleration transmissibility of the suspension seat model was adopted as an object function. A simple genetic algorithm was used to search the optimum values of the design variables, suspension stiffness and damping coefficient. Finally, vibration ride performance test results showed that the optimum suspension parameters gives the lowest vibration transmissibility. Accordingly the genetic algorithm and the equivalent suspension seat modelling can be successfully adopted in the vibration ride quality optimization of a suspension seat system.

  • PDF

유전자 알고리즘을 이용한 뮤테이션 테스팅의 테스트 데이터 자동 생성 (Automatic Test Data Generation for Mutation Testing Using Genetic Algorithms)

  • 정인상;창병모
    • 정보처리학회논문지D
    • /
    • 제8D권1호
    • /
    • pp.81-86
    • /
    • 2001
  • 소프트웨어 테스팅의 중요 목표 중의 하나는 '좋은' 테스트 데이터 집합을 생성하는 것으로 이는 매우 어렵고 시간이 걸리는 작업이다. 본 논문은 소프트웨어 테스팅을 위한 자동 테스트 데이터 집합 생성에 유전자 알고리즘을 적용하는 방법을 제시하며 자동 테스트 데이터 생성에서 유전자 알고리즘의 효용성을 보이기 위해 유테이션 테스팅을 도입한다. 본 연구는 테스트 데이터 생성 과정이 테스트 대상 프로그램의 구현에 대한 지식을 필요로하지 않는다는 점에서 다른 방법들과 다르다. 또한, 제안된 방법의 효율성을 보이기 위하여 몇 가지 실험을 통해서 블랙박스 테스트 생성 기법은 랜덤 테스팅과 비교한다.

  • PDF

신경회로망과 유전 알고리즘을 이용한 유전자 추출법과 이의 암 분류법에의 적용 (Gene selection method using neural networks and genetic algorithm and its applications to classification of cancers)

  • 조현성;김태선;전성모;위재우;이종호
    • 대한전기학회:학술대회논문집
    • /
    • 대한전기학회 2002년도 하계학술대회 논문집 D
    • /
    • pp.2815-2817
    • /
    • 2002
  • Classification method of cancers using cDNA microarrays data was developed using genetic algorithms and neural networks. For gene selection, 2308 genes were ranked using genetic algorithms, and selected by frequency number of selection from 1000 of genetic iterative runs. To calculate fitness values, artificial neural networks are used as classifier. The small, round blue cell tumors (SRBCTs) which is difficult to distinguish via pathological single test was used as test diseases for classification, and the test results showed the 96% of exact classification capability for 25 test samples.

  • PDF

Direct-to-consumer genetic testing

  • Kim, Jong-Won
    • Genomics & Informatics
    • /
    • 제17권3호
    • /
    • pp.34.1-34.3
    • /
    • 2019
  • Direct-to-consumer (DTC) genetic testing is a controversial issue although Korean Government is considering to expand DTC genetic testing. Preventing the exaggeration and abusing of DTC genetic testing is an important task considering the early history of DTC genetic testing in Korea. And the DTC genetic testing performance or method has been rarely reported to the scientific and/or medical community and reliability of DTC genetic testing needs to be assessed. Law enforcement needs to improve these issues. Also principle of transparency needs to be applied.

Genetic Evaluation of Somatic Cell Counts of Holstein Cattle in Zimbabwe

  • Mangwiro, F.K.;Mhlanga, F.N.;Dzama, K.;Makuza, S.M.
    • Asian-Australasian Journal of Animal Sciences
    • /
    • 제13권10호
    • /
    • pp.1347-1352
    • /
    • 2000
  • The objectives of the study were to examine non-genetic factors that influence somatic cell counts in dairy cattle and to estimate the genetic parameters of somatic cell counts. A total of 34, 097-test day somatic cell count records were obtained from the Zimbabwe Dairy Services Association (ZDSA). The data were from 5, 615 Holstein daughters of 390 sires and 2, 541 dams tested between May 1994 and December 1998. First lactation cows contributed 22, 147 records to the data set, while 11, 950 records were from second and later parity cows. The model for analysis included fixed effects of month of calving, year of calving, stage of lactation, calving interval and test date. Milk yield and age on test day were fitted in the model as covariates. The additive genetic effects pertaining to cows, sires and dams and the residual error were the random effects. The Average Information Restricted Maximum Likelihood algorithm was used for analysis. The heritability of somatic cell scores was low at $0.027{\pm}0.013$ for parity one cows and $0.087{\pm}0.031$ for parity two and above. Repeatability estimates were $0.22{\pm}0.01$ and $0.30{\pm}0.01$ for the two lactation groups, respectively. Genetic and phenotypic correlations between the somatic cell scores and test day milk production were small and negative. It seems that there is no genetic link between somatic cell counts and milk yield in Holstein cattle in Zimbabwe. The results also seem to indicate that somatic cell count is a trait that is mainly governed by environmental factors.

Test Set Generation for Pairwise Testing Using Genetic Algorithms

  • Sabharwal, Sangeeta;Aggarwal, Manuj
    • Journal of Information Processing Systems
    • /
    • 제13권5호
    • /
    • pp.1089-1102
    • /
    • 2017
  • In software systems, it has been observed that a fault is often caused by an interaction between a small number of input parameters. Even for moderately sized software systems, exhaustive testing is practically impossible to achieve. This is either due to time or cost constraints. Combinatorial (t-way) testing provides a technique to select a subset of exhaustive test cases covering all of the t-way interactions, without much of a loss to the fault detection capability. In this paper, an approach is proposed to generate 2-way (pairwise) test sets using genetic algorithms. The performance of the algorithm is improved by creating an initial solution using the overlap coefficient (a similarity matrix). Two mutation strategies have also been modified to improve their efficiency. Furthermore, the mutation operator is improved by using a combination of three mutation strategies. A comparative survey of the techniques to generate t-way test sets using genetic algorithms was also conducted. It has been shown experimentally that the proposed approach generates faster results by achieving higher percentage coverage in a fewer number of generations. Additionally, the size of the mixed covering arrays was reduced in one of the six benchmark problems examined.

한국인 유전성 유방암 가계에서 BRCA1/2 유전자 돌연변이 사실에 대한 가족과의 의사소통 실태 (Communication with Family Members about Positive BRCA1/2 Genetic Test Results in Korean Hereditary Breast Cancer Families)

  • 강은영;박수경;김구상;최두호;남석진;백남선;이종원;이민혁;김성원;한국유방암학회
    • Journal of Genetic Medicine
    • /
    • 제8권2호
    • /
    • pp.105-112
    • /
    • 2011
  • 목적: 유전성 유방암 가계에서 BRCA 유전자 돌연변이 결과 공유의 중요성은 가족검사를 통해 돌연변이 보인자를 확인하고 적극적인 암 발생 감시와 예방적 치료를 제공하는데 있다. 본 연구를 통하여 유전성 유방암 가계에서 돌연변이 사실에 대한 공유 정도, 등친 별 의사소통 차이와 이에 영향을 미치는 요인을 확인하고자 한다. 대상 및 방법: 한국인 유전성유방암 연구에 등록되어 BRCA1 또는 BRCA2 돌연변이가 확인된 발단자 106명을 대상으로 검사 후 유전상담, 유전성 유방암 지식도 평가, 돌연변이 사실에 대한 가족간의 의사소통 과정, 가족 검사 현황에 대해 설문조사를 시행하였다. 결과: 최종 응답자 106명 중 99명은 적어도 한 명 이상의 친족에게 자신의 유전자 검사결과를 알렸으며, 일등친 가족에게만 알린 경우는 68.7%, 일등친과 이등친 이상의 가족에게 돌연변이 사실을 알린 경우는 31.3%였다. 단변량 분석결과 일등친 가족에게만 검사결과를 알린 군이 이등친 또는 삼등친 가족에게 돌연변이 사실을 알린 군에 비해 기혼자의 비율이 더 높았으며, 검사 후 유전상담일로부터 설문조사 시점까지 기간이 유의하게 짧은 것으로 나타났다. 가족에게 돌연변이 사실을 알린 이유에 대해서는 가족들에게 BRCA 유전자 돌연변이 가능성과 유방암 발병위험성을 알리기 위함에 가장 큰 비중을 차지하였다. 결론: 유전성 유방암 가계에서 BRCA 돌연변이 사실에 대한 정보를 보다 많은 가족과 공유하기 위해서는 유전상담 시 환자 개개인의 가계 구조를 파악하여 차별화된 의사소통 방법을 제시해 주어야 할 것이다.

인간 유전정보 보호와 시민참여 (Protection of Human Genetic Information and Citizens Participation)

  • 이영희;김명진;김병수
    • 과학기술학연구
    • /
    • 제3권1호
    • /
    • pp.41-73
    • /
    • 2003
  • 최근 생명공학의 발전에 따라 배아복제나 유전자 정보은행 등과 관련된 주제를 둘러싸고 많은 논란이 야기되고 있는 상황이다. 특히 인간게놈프로젝트의 진전에 힘입어 범죄수사를 위한 개인식별이나 질병 진단 및 검사뿐만 아니라 각종 비의료적 검사에 이르기까지 유전자 검사가 현재 무분별하게 확산되는 추세이다. 문제는, 개인의 유전정보는 사회적으로 매우 민감한 성격을 지님에도 불구하고 이러한 유전자 검사의 확산은 필연적으로 유전자 프라이버시의 침해를 가져올 가능성을 높여준다는 데 있다. 이처럼 유전정보 보호에 대한 사회적 관심이 제고되고 있는 상황에서, 유전정보 보호를 둘러싼 사회적 논의과정에 일반 시민들이 직접 참여할 수 있는 제도적 틀을 만들어 제공하는 것이 그 어느 때보다 절실하게 요구되고 있다. 이러한 문제의식에 입각하여, 이 글에서는 먼저 인간 유전정보의 이용을 둘러싼 사회적 쟁점을 개인식별, 질병 진단 및 검사, 그리고 비의료적 검사의 세 측면에서 살펴보고, 이어 생명공학 분야에서 국내 외에서 시행되었던 다양한 시민참여의 경험들에 대한 검토를 거친 다음에, 향후 우리나라 정부가 유전정보 보호정책의 입안과 관련하여 취해야 할 바람직한 시민참여 방안을 모색해 본다.

  • PDF

Genetic Parameters of Milk β-Hydroxybutyric Acid and Acetone and Their Genetic Association with Milk Production Traits of Holstein Cattle

  • Lee, SeokHyun;Cho, KwangHyun;Park, MiNa;Choi, TaeJung;Kim, SiDong;Do, ChangHee
    • Asian-Australasian Journal of Animal Sciences
    • /
    • 제29권11호
    • /
    • pp.1530-1540
    • /
    • 2016
  • This study was conducted to estimate the genetic parameters of ${\beta}$-hydroxybutyrate (BHBA) and acetone concentration in milk by Fourier transform infrared spectroscopy along with test-day milk production traits including fat %, protein % and milk yield based on monthly samples of milk obtained as part of a routine milk recording program in Korea. Additionally, the feasibility of using such data in the official dairy cattle breeding system for selection of cows with low susceptibility of ketosis was evaluated. A total of 57,190 monthly test-day records for parities 1, 2, and 3 of 7,895 cows with pedigree information were collected from April 2012 to August 2014 from herds enrolled in the Korea Animal Improvement Association. Multi-trait random regression models were separately applied to estimate genetic parameters of test-day records for each parity. The model included fixed herd test-day effects, calving age and season effects, and random regressions for additive genetic and permanent environmental effects. Abundance of variation of acetone may provide a more sensitive indication of ketosis than many zero observations in concentration of milk BHBA. Heritabilities of milk BHBA levels ranged from 0.04 to 0.17 with a mean of 0.09 for the interval between 4 and 305 days in milk during three lactations. The average heritabilities for milk acetone concentration were 0.29, 0.29, and 0.22 for parities 1, 2, and 3, respectively. There was no clear genetic association of the concentration of two ketone bodies with three test-day milk production traits, even if some correlations among breeding values of the test-day records in this study were observed. These results suggest that genetic selection for low susceptibility of ketosis in early lactation is possible. Further, it is desirable for the breeding scheme of dairy cattle to include the records of milk acetone rather than the records of milk BHBA.