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Development of bimodal gene expression analysis and allele-specific competitive PCR for investigation of complex genetic traits, lung cancer risk .

机译:双峰基因表达分析和等位基因特异性竞争PCR技术的发展,用于研究复杂的遗传特征,患肺癌的风险。

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摘要

The majority of common traits (e.g. cancer predisposition) reside within the paradigm of complex genetic systems. Yet at present, no more than 5% of phenotypic variation in complex genetic traits have been explained. Difficulties in linking individual genetic changes to complex phenotypic traits may be due, in part, to limitations and challenges intrinsic to approaches and methodologies currently employed to study complex genetic phenomena (e.g. genome-wide association studies). The goal of the dissertation presented here was to develop new approaches and methodologies to untangle the intricate web of heritable mechanisms underlying complex genetic traits, using lung cancer predisposition as a model system. The guiding philosophy for the development of new approaches and methods was to investigate: a) novel aspects of the involvement of intermediate phenotypes (e.g. transcript expression) in explaining complex genetic trait penetrance, as well as b) the genetic basis of intermediate phenotypes (e.g. allele-specific expression). Utilization of intermediate phenotypes minimizes the effect of confounding variables when attempting to abstract the effect size (i.e. penetrance) of genetic variation on a complex genetic trait. During the course of my studies I developed bimodal and dispersion-based gene expression analysis, allele-specific competitive PCR methodology as well as an interpretive framework for allele-specific expression signal analysis. In these studies, I demonstrate that bimodal and dispersion gene expression patterns are an important classifying characteristic (intermediate phenotype) for genes with a high degree of likelihood of involvement in lung carcinogenesis. Moreover, using allele-specific competitive PCR and allele-specific expression signal theory I demonstrate the identification of cis-acting genetic variations which alter transcript expression of ERCC5 and CEBPG genes (both important in the progression of lung carcinogenesis) using various in vivo approaches.
机译:大多数常见特征(例如癌症易感性)都位于复杂遗传系统的范式之内。然而,目前,复杂遗传性状的表型变异不超过5%。将个体遗传变化与复杂表型性状联系起来的困难可能部分是由于目前用于研究复杂遗传现象的方法和方法固有的局限性和挑战(例如,全基因组关联研究)。本文的目的是使用肺癌易感性作为模型系统,开发新的方法和方法,以解开复杂遗传特性背后的复杂遗传机制。开发新方法和新方法的指导思想是研究:a)中间表型(例如转录本表达)参与解释复杂遗传特征外显率的新方面,以及b)中间表型的遗传基础(例如等位基因特异性表达)。尝试抽象化遗传变异对复杂遗传特征的影响大小(即渗透性)时,利用中间表型可将混淆变量的影响降至最低。在我的研究过程中,我开发了基于双峰和分散的基因表达分析,等位基因特异性竞争PCR方法以及用于等位基因特异性表达信号分析的解释框架。在这些研究中,我证明了双峰和分散基因表达模式是重要的分类特征(中间表型),具有高度参与肺癌致癌性的基因。此外,使用等位基因特异性竞争PCR和等位基因特异性表达信号理论,我证明了使用多种体内方法鉴定可改变ERCC5和CEBPG基因的转录表达的顺式作用遗传变异(均在肺致癌过程中很重要)。

著录项

  • 作者

    Blomquist, Thomas M.;

  • 作者单位

    The University of Toledo.;

  • 授予单位 The University of Toledo.;
  • 学科 Biology Molecular.;Health Sciences Oncology.;Health Sciences Pathology.;Biology Genetics.
  • 学位 Ph.D.
  • 年度 2010
  • 页码 261 p.
  • 总页数 261
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:37:24

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