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A Model for Transgenerational Imprinting Variation in Complex Traits
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 pre...
Autores principales: | , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2904369/ https://www.ncbi.nlm.nih.gov/pubmed/20644725 http://dx.doi.org/10.1371/journal.pone.0011396 |
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author | Wang, Chenguang Wang, Zhong Luo, Jiangtao Li, Qin Li, Yao Ahn, Kwangmi Prows, Daniel R. Wu, Rongling |
author_facet | Wang, Chenguang Wang, Zhong Luo, Jiangtao Li, Qin Li, Yao Ahn, Kwangmi Prows, Daniel R. Wu, Rongling |
author_sort | Wang, Chenguang |
collection | PubMed |
description | 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[Image: see text] 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[Image: see text] 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. |
format | Text |
id | pubmed-2904369 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-29043692010-07-19 A Model for Transgenerational Imprinting Variation in Complex Traits Wang, Chenguang Wang, Zhong Luo, Jiangtao Li, Qin Li, Yao Ahn, Kwangmi Prows, Daniel R. Wu, Rongling PLoS One Research Article 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[Image: see text] 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[Image: see text] 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. Public Library of Science 2010-07-14 /pmc/articles/PMC2904369/ /pubmed/20644725 http://dx.doi.org/10.1371/journal.pone.0011396 Text en Wang et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Wang, Chenguang Wang, Zhong Luo, Jiangtao Li, Qin Li, Yao Ahn, Kwangmi Prows, Daniel R. Wu, Rongling A Model for Transgenerational Imprinting Variation in Complex Traits |
title | A Model for Transgenerational Imprinting Variation in Complex Traits |
title_full | A Model for Transgenerational Imprinting Variation in Complex Traits |
title_fullStr | A Model for Transgenerational Imprinting Variation in Complex Traits |
title_full_unstemmed | A Model for Transgenerational Imprinting Variation in Complex Traits |
title_short | A Model for Transgenerational Imprinting Variation in Complex Traits |
title_sort | model for transgenerational imprinting variation in complex traits |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2904369/ https://www.ncbi.nlm.nih.gov/pubmed/20644725 http://dx.doi.org/10.1371/journal.pone.0011396 |
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