• Title/Summary/Keyword: gene interaction

검색결과 747건 처리시간 0.031초

자살 : 유전자-환경 상호작용 (Suicide : Gene-Environment Interaction)

  • 김용구
    • 생물정신의학
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    • 제17권2호
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    • pp.65-69
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    • 2010
  • Gene-environment interactions are important in pathogenesis of suicide or suicidal behavior. Twin and adoption studies and family studies show that genetic factors play a critical role in suicide or suicidal behavior. Given the strong association between serotonergic neurotransmission and suicide, recent molecular genetic studies have focused on polymorphisms of serotonin genes, especially on serotonin transporter and tryptophan hydroxylase genes. Some studies have revealed a significant interaction between s allele of the serotonin transporter gene and the risk of suicide attempt associated with childhood trauma. In addition, the polymorphism of brain-derived neurotrophic factor gene also may influence the effect of childhood trauma in relation to the risk of attempting suicide. Future studies should explore genetic and environmental factors in suicide or suicidal behavior and examine for gene and environment interaction.

Gene-Gene Interaction Analysis for the Accelerated Failure Time Model Using a Unified Model-Based Multifactor Dimensionality Reduction Method

  • Lee, Seungyeoun;Son, Donghee;Yu, Wenbao;Park, Taesung
    • Genomics & Informatics
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    • 제14권4호
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    • pp.166-172
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    • 2016
  • Although a large number of genetic variants have been identified to be associated with common diseases through genome-wide association studies, there still exits limitations in explaining the missing heritability. One approach to solving this missing heritability problem is to investigate gene-gene interactions, rather than a single-locus approach. For gene-gene interaction analysis, the multifactor dimensionality reduction (MDR) method has been widely applied, since the constructive induction algorithm of MDR efficiently reduces high-order dimensions into one dimension by classifying multi-level genotypes into high- and low-risk groups. The MDR method has been extended to various phenotypes and has been improved to provide a significance test for gene-gene interactions. In this paper, we propose a simple method, called accelerated failure time (AFT) UM-MDR, in which the idea of a unified model-based MDR is extended to the survival phenotype by incorporating AFT-MDR into the classification step. The proposed AFT UM-MDR method is compared with AFT-MDR through simulation studies, and a short discussion is given.

CART 알고리즘을 활용한 확장된 다중인자 차원축소방법의 검정력 평가 (Power of Expanded Multifactor Dimensionality Reduction with CART Algorithm)

  • 이제영;이종형;이호근
    • Communications for Statistical Applications and Methods
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    • 제17권5호
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    • pp.667-678
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    • 2010
  • 인간의 유전자 상호작용을 분석하기 위해 제시된 다중인자 차원축소방법은 연속형자료에는 적용할 수 없다. 그래서 이를 보완한 CART 알고리즘을 활용한 확장된 다중인자 차원축소방법이 제안되었다. 하지만 CART 알고리즘을 활용한 확장된 다중인자 차원축소방법의 검정력이 밝혀지지 않았다. 따라서 본 연구에서는 모의실험을 통하여 CART 알고리즘을 활용한 확장된 다중인자 차원축소방법의 우수한 검정력을 평가하고, 확인된 검정력을 바탕으로 실제 한우 데이터에 적용하여 한우의 경제형질에 영향을 주는 우수 유전자조합을 규명하였다.

Gene Expression Profiling in Rice Infected with Rice Blast Fungus using SAGE

  • Kim, Sang-Gon;Kim, Sun-Tae;Kim, Sung-Kun;Kang, Kyu-Young
    • The Plant Pathology Journal
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    • 제24권4호
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    • pp.384-391
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    • 2008
  • Rice blast disease, caused by the pathogenic fungus Magnaporthe grisea, is a serious issue in rice (Oryza sativa L.) growing regions of the world. Transcript profiling in rice inoculated with the fungus has been investigated using the transcriptomics technology, serial analysis of gene expression (SAGE). Short sequence tags containing sufficient information which are ten base-pairs representing the unique transcripts were identified by SAGE technology. We identified a total of 910 tag sequences via the GenBank database, and the resulting genes were shown to be up-regulated in all functional categories under the fungal biotic stress. Compared to the compatible interaction, the stress and defense genes in the incompatible interaction appear to be more up-regulated. Particularly, thaumatin-like gene (TLP) was investigated in determining the gene and protein expression level utilizing Northern and Western blotting analyses, resulting in an increase in both the gene and the protein expression level which arose earlier in the incompatible interaction than in the compatible interaction.

EFMDR-Fast: An Application of Empirical Fuzzy Multifactor Dimensionality Reduction for Fast Execution

  • Leem, Sangseob;Park, Taesung
    • Genomics & Informatics
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    • 제16권4호
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    • pp.37.1-37.3
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    • 2018
  • Gene-gene interaction is a key factor for explaining missing heritability. Many methods have been proposed to identify gene-gene interactions. Multifactor dimensionality reduction (MDR) is a well-known method for the detection of gene-gene interactions by reduction from genotypes of single-nucleotide polymorphism combinations to a binary variable with a value of high risk or low risk. This method has been widely expanded to own a specific objective. Among those expansions, fuzzy-MDR uses the fuzzy set theory for the membership of high risk or low risk and increases the detection rates of gene-gene interactions. Fuzzy-MDR is expanded by a maximum likelihood estimator as a new membership function in empirical fuzzy MDR (EFMDR). However, EFMDR is relatively slow, because it is implemented by R script language. Therefore, in this study, we implemented EFMDR using RCPP ($c^{{+}{+}}$ package) for faster executions. Our implementation for faster EFMDR, called EMMDR-Fast, is about 800 times faster than EFMDR written by R script only.

Elucidation of the Molecular Interaction between miRNAs and the HOXA9 Gene, Involved in Acute Myeloid Leukemia, by the Assistance of Argonaute Protein through a Computational Approach

  • Das, Rohit Pritam;Konkimalla, V. Badireenath;Rath, Surya Narayan;Hansa, Jagadish;Jagdeb, Manaswini
    • Genomics & Informatics
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    • 제13권2호
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    • pp.45-52
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    • 2015
  • Acute myeloid leukemia is a well characterized blood cancer in which the unnatural growth of immature white blood cell takes place, where several genes transcription is regulated by the micro RNAs (miRNAs). Argonaute (AGO) protein is a protein family that binds to the miRNAs and mRNA complex where a strong binding affinity is crucial for its RNA silencing function. By understanding pattern recognition between the miRNAs-mRNA complex and its binding affinity with AGO protein, one can decipher the regulation of a particular gene and develop suitable siRNA for the same in disease condition. In the current work, HOXA9 gene has been selected from literature, whose deregulation is well-established in acute myeloid leukemia. Four miRNAs (mir-145, mir-126, let-7a, and mir-196b) have been selected to target mRNA of HOXA9 (NCBI accession No. NM_152739.3). The binding interaction between mRNAs and mRNA of HOXA9 gene was studied computationally. From result, it was observed mir-145 has highest affinity for HOXA9 gene. Furthermore, the interaction between miRNAs-mRNA duplex of all chosen miRNAs are docked with AGO protein (PDB ID: 3F73, chain A) to study their interaction at molecular level through an in silico approach. The residual interaction and hydrogen bonding are inspected in Discovery Studio 3.5 suites. The current investigation throws light on understanding of AGO-assisted miRNA based gene silencing mechanism in HOXA9 gene associated in acute myeloid leukemia computationally.

Sequence-specific interaction between ABD-B homeodomain and castor gene in Drosophila

  • Kim, Keon-Hee;Yoo, Siuk
    • BMB Reports
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    • 제47권2호
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    • pp.92-97
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    • 2014
  • We have examined the effect of bithorax complex genes on the expression of castor gene. During the embryonic stages 12-15, both Ultrabithorax and abdominal-A regulated the castor gene expression negatively, whereas Abdominal-B showed a positive correlation with the castor gene expression according to real-time PCR. To investigate whether ABD-B protein directly interacts with the castor gene, electrophoretic mobility shift assays were performed using the recombinant ABD-B homeodomain and oligonucleotides, which are located within the region 10 kb upstream of the castor gene. The results show that ABD-B protein directly binds to the castor gene specifically. ABD-B binds more strongly to oligonucleotides containing two 5'-TTAT-3' canonical core motifs than the probe containing the 5'-TTAC-3' motif. In addition, the sequences flanking the core motif are also involved in the protein-DNA interaction. The results demonstrate the importance of HD for direct binding to target sequences to regulate the expression level of the target genes.

우수 유전자 조합 선별을 위한 통계적 상호작용 방법비교 (Statistical Interaction for Major Gene Combinations)

  • 이제영;이용원;최영진
    • 응용통계연구
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    • 제23권4호
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    • pp.693-703
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    • 2010
  • 대개 인간의 질병과 관련된 유전자나 가축의 경제적인 특성과 관련된 유전자는 주로 상호작용으로 일어난다. 유전자의 상호작용을 찾기 위한 방법으로 다양한 방법들이 제시되었다. 본 논문에서는 유전자의 상호작용 효과를 규명하기 위해 개발된 확장된 MDR방법(E-MDR)과 더미변수를 활용한 MDR방법(D-MDR), 대규모 유전자들 중에서 주요 유전자 조합을 선별하는 SNPHarvester방법을 비교하여 인간의 질병이 아닌 한우의 경제적인 특성에 적용하여 우수한 유전자 조합을 선별하고 우수 유전자형을 밝힌다.

Gene-Diet Interaction on Cancer Risk in Epidemiological Studies

  • Lee, Sang-Ah
    • Journal of Preventive Medicine and Public Health
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    • 제42권6호
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    • pp.360-370
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    • 2009
  • Genetic factors clearly play a role in carcinogenesis, but migrant studies provide unequivocal evidence that environmental factors are critical in defining cancer risk. Therefore, one may expect that the lower availability of substrate for biochemical reactions leads to more genetic changes in enzyme function; for example, most studies have indicated the variant MTHFR genotype 677TT is related to biomarkers, such as homocysteine concentrations or global DNA methylation particularly in a low folate diet. The modification of a phenotype related to a genotype, particularly by dietary habits, could support the notion that some of inconsistencies in findings from molecular epidemiologic studies could be due to differences in the populations studied and unaccounted underlying characteristics mediating the relationship between genetic polymorphisms and the actual phenotypes. Given the evidence that diet can modify cancer risk, gene-diet interactions in cancer etiology would be anticipated. However, much of the evidence in this area comes from observational epidemiology, which limits the causal inference. Thus, the investigation of these interactions is essential to gain a full understanding of the impact of genetic variation on health outcomes. This report reviews current approaches to gene-diet interactions in epidemiological studies. Characteristics of gene and dietary factors are divided into four categories: one carbon metabolism-related gene polymorphisms and dietary factors including folate, vitamin B group and methionines; oxidative stress-related gene polymorphisms and antioxidant nutrients including vegetable and fruit intake; carcinogen-metabolizing gene polymorphisms and meat intake including heterocyclic amins and polycyclic aromatic hydrocarbon; and other gene-diet interactive effect on cancer.

환경적인 요인을 보정한 한우의 우수 유전자 조합 선별 (Major gene interaction identification in Hanwoo by adjusted environmental effects)

  • 이제영;진미현
    • Journal of the Korean Data and Information Science Society
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    • 제23권3호
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    • pp.467-474
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    • 2012
  • 인간의 질병과 가축의 경제적인 특성은 하나의 유전자가 아닌 여러 유전자의 상호작용의 영향을 더 많이 받는다고 알려져 있다. 본 논문에서는 유전적인 효과만을 밝혀내기 위해 선형회귀모형을 활용하여 환경적인 요인을 보정하고, 최근 한우의 맛과 육질에 영향을 준다고 밝혀진 단일염기다형성 5개 (Oh 등, 2011)를 이용해 한우의 경제형질에 영향을 주는 우수 유전자 조합을 선별하고 우수 유전자형을 밝힌다. 이때, 많은 유전자들 중에서 우수한 유전자를 찾기 위한 비모수적인 방법인 다중인자 차원 축소 방법을 이용하여 단일 유전자의 효과보다 상호작용의 효과가 한우의 경제형질에 더 많은 영향을 준다는 사실을 확인하였다.