• Title/Summary/Keyword: 유전과 환경

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성인형(제2형)당뇨병은 문화병인가?

  • Yu, Hyeong-Jun
    • 건강소식
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    • v.10 no.12 s.97
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    • pp.30-33
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    • 1986
  • 유전적으로 당뇨병이 될 소질이 있어도 스트레스,무절제등의 환경요인이 덧붙지 않으면 평생을 당뇨병을 모르고 지내게 되는데,문화의 발달에 따라 그러한 환경요인들은 보다 자주,보다 강하게 밀려오고 있어,당뇨병은 문화의 발달에 따라 그 빈도가 늘고 있다.

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Epigenetic Mechanisms of Depression: Role of Histone Modification and DNA Methylation in BDNF Gene (우울증의 후성유전기전: BDNF 유전자의 히스톤 변형 및 DNA 메틸화의 역할)

  • Park, Sung Woo
    • Journal of Life Science
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    • v.28 no.12
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    • pp.1536-1544
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    • 2018
  • Depression is a common, serious, and recurring mental disorder. The pathogenesis of depression involves many factors such as environmental factor, genetic factor and alteration of structure and function in neurobiological systems. Increasing evidence supports that epigenetic alteration may be associated with depression. The epigenetics is explained as the mechanisms by which environmental factor causes changes in chromatin structure and alters gene expression without changing DNA base sequence. DNA methylation and histone modification involving histone acetylation and methylation are the main epigenetic mechanisms. Animal studies have shown that stressful environment such as early life stress can leave persistent epigenetic marks in the genome, which alter gene expression and influence neural and behavioral function through adulthood. A potentially important gene in depression is brain-derived neurotrophic factor (BDNF). BDNF plays a central role in depression and antidepressant action. In studies of the rodent, exposure to stress at prenatal, postnatal, and adult stages alters BDNF expression through histone modification and DNA methylation of the BDNF gene which results in anxiety and depressive-like behavior. This review discusses recent advances in the study of the epigenetic mechanisms that contribute to depression, particularly histone modification and DNA methylation of the BDNF gene, that may help in the development of new targets for depression treatment.

Modified Genetic Algorithm for Fast Beam Formation in Wireless Network (무선 메쉬 네트워크 환경에서 빠른 빔형성을 위한 개선된 유전알고리즘)

  • Lee, Dong-kyu;Ahn, Jong-min;Park, Chul;Kim, Han-na;Chung, Jae-hak
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.40 no.9
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    • pp.1686-1692
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    • 2015
  • This paper proposes a modified genetic algorithm that has the same beamforming performance and a fast convergence speed using general genetic algorithm in order to form a beam for the mobile node in a mesh network. The proposed beamforming genetic algorithm selects a part of chromosome a high fitness value in mating process to obtain fast convergence speed, and rest part of chromosome with longer fitness value in order to avoid local solution. Furthermore, the reference beam pattern with Gaussian shape reduces additional convergence speed. Simulation shows that the convergence speed of proposed algorithm improves 20% compared with that of conventional beamforming genetic algorithm.

Genetic Algorithm for Game Monster Generation (게임 몬스터 생성에 적합한 유전알고리즘)

  • Park, Sang-Wook;Lee, Won-Hyung
    • Proceedings of the Korea Contents Association Conference
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    • 2006.11a
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    • pp.811-814
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    • 2006
  • There are Monsters for game player in computer game. The Monsters generated by steady methods and data. And There are few methods that can be adapted to environment or player. This paper introduces a reformed Genetic Algorithm for Monster generation. This algorithm is applied to Homologous Chromosomes(HC). In existing GAs, An Individual have only one genome. But, In proposed algorithm, each Individual has a pair of allele genes on each locus. To compare proposed algorithm with Simple Genetic algorithm, I simulated the solution of a simple Binary problem. After experiments, I conclude that the suggested Algorithm reduced the number of generations more than SGA.

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