A model for transgenerational imprinting variation in complex traits.
A model for transgenerational imprinting variation in complex traits.
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DOI：
10.1371/journal.pone.0011396
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发表时间：
2010-07-14
期刊：
影响因子：
3.7
通讯作者：
Wu R
中科院分区：
文献类型：
--
作者：
Wang C;Wang Z;Luo J;Li Q;Li Y;Ahn K;Prows DR;Wu R
尽管事实上，遗传印记，即，由于不同的亲本来源，同一等位基因的差异表达，在控制复杂性状或疾病中起着关键作用，但印迹基因的起源、作用和传递模式仍在很大程度上未被探索。我们提出了一个新的策略，研究这些属性的遗传印记与两个阶段的互惠F交配设计，开始与两个对比自交系。这种策略映射了被印记的数量性状基因座（即，iQTLs）的分离和在不同世代间的传递。通过将iQTL基因型的等位基因构型并入混合模型框架中，该策略提供了追踪来自前几代的等位基因的亲本起源的途径。通过EM算法估计和检验了iQTL的印记效应及其与其他传统遗传效应的互作。该策略被用来定位的iQTL负责生存时间与4个相互F群体和测试是否和如何检测到的iQTL遗传到下一代的印记效应。新的策略将提供一种工具，用于量化印记效应在表型多样性的创造和维持中的作用，并阐明复杂性状和疾病的遗传结构的全面图景。
Despite the fact that genetic imprinting, i.e., differential expression of the same allele due to its different parental origins, plays a pivotal role in controlling complex traits or diseases, the origin, action and transmission mode of imprinted genes have still remained largely unexplored. We present a new strategy for studying these properties of genetic imprinting with a two-stage reciprocal F mating design, initiated with two contrasting inbred lines. This strategy maps quantitative trait loci that are imprinted (i.e., iQTLs) based on their segregation and transmission across different generations. By incorporating the allelic configuration of an iQTL genotype into a mixture model framework, this strategy provides a path to trace the parental origin of alleles from previous generations. The imprinting effects of iQTLs and their interactions with other traditionally defined genetic effects, expressed in different generations, are estimated and tested by implementing the EM algorithm. The strategy was used to map iQTLs responsible for survival time with four reciprocal F populations and test whether and how the detected iQTLs inherit their imprinting effects into the next generation. The new strategy will provide a tool for quantifying the role of imprinting effects in the creation and maintenance of phenotypic diversity and elucidating a comprehensive picture of the genetic architecture of complex traits and diseases.
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影响因子：
5.2
作者：
Pembrey, ME;Bygren, LO;Golding, J
通讯作者：
Golding, J
DOI：
10.1007/978-1-60761-247-6_11
发表时间：
2009-01-01
期刊：
CARDIOVASCULAR GENOMICS: METHODS AND PROTOCOLS
影响因子：
--
作者：
Cheng, Yun;Berg, Arthur;Wu, Rongling
通讯作者：
Wu, Rongling
影响因子：
64.8
作者：
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通讯作者：
Reik, W
影响因子：
56.9
作者：
Li, LL;Keverne, EB;Surani, MA
通讯作者：
Surani, MA
影响因子：
56.9
作者：
Li, CB;Zhou, AL;Sang, T
通讯作者：
Sang, T