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Lessons in complexity from yeast

机译:酵母带来的复杂性教训

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摘要

Ever since the modern understanding of evolution and genetics in terms of natural selection and Mendelian inheritance was formulated, generations of scientists have struggled to explain the genetic bases and evolutionary significance of the remarkable variation among individuals, which is observed in many species. Despite considerable progress in finding the main genes that determine genetically simple traits, genetic variants of individually small effect that influence the so-called complex traits - which include height, weight and disorders such as neuropsychiatric diseases and cancers - have proved elusive. On page 1039 of this issue, Ehrenreich et al. report a method in yeast that offers great statistical power for identifying multiple genomic regions that contribute to complex traits. Their work affords significant hope that similar genomic studies will be possible in many other species.
机译:自从对自然选择和孟德尔遗传学的进化论和遗传学有了现代的理解以来,几代科学家一直在努力解释个体间显着变异的遗传基础和进化意义,这一现象在许多物种中都可以观察到。尽管在寻找决定遗传上简单特征的主要基因方面取得了长足进步,但事实证明,影响所谓的复杂特征的个体效应较小的遗传变异(包括身高,体重和神经精神疾病和癌症等疾病)难以捉摸。在此问题的第1039页上,Ehrenreich等人。报告了一种酵母中的方法,该方法提供了强大的统计能力,可用于鉴定有助于复杂性状的多个基因组区域。他们的工作极大地希望在许多其他物种中进行类似的基因组研究。

著录项

  • 来源
    《Nature》 |2010年第7291期|p.985-986|共2页
  • 作者单位

    Center for Human Genome Variation and Department of Biology, respectively, Duke University, Durham, North Carolina 27708, USA;

    Center for Human Genome Variation and Department of Biology, respectively, Duke University, Durham, North Carolina 27708, USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
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