Literature DB >> 19763929

Computing genetic imprinting expressed by haplotypes.

Yun Cheng1, Arthur Berg, Song Wu, Yao Li, Rongling Wu.   

Abstract

Different expression of maternally and paternally inherited alleles at certain genes is called genetic imprinting. Despite its great importance in trait formation, development, and evolution, it remains unclear how genetic imprinting operates in a complex network of interactive genes located throughout the genome. Genetic mapping has proven to be a powerful tool that can estimate the distribution and effects of imprinted genes. While traditional mapping models attempt to detect imprinted quantitative trait loci based on a linkage map constructed from molecular markers, we have developed a statistical model for estimating the imprinting effects of haplotypes composed of multiple sequenced single-nucleotide polymorphisms. The new model provides a characterization of the difference in the effect of maternally and paternally derived haplotypes, which can be used as a tool for genetic association studies at the candidate gene or genome-wide level. The model was used to map imprinted haplotype effects on body mass index in a random sample from a natural human population, leading to the detection of significant imprinted effects at the haplotype level. The new model will be useful for characterizing the genetic architecture of complex quantitative traits at the nucleotide level.

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Year:  2009        PMID: 19763929     DOI: 10.1007/978-1-60761-247-6_11

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  4 in total

1.  Nonparametric method for detecting imprinting effect using all members of general pedigrees with missing data.

Authors:  Fangyuan Zhang; Shili Lin
Journal:  J Hum Genet       Date:  2014-08-14       Impact factor: 3.172

2.  Semi-automated assembly of high-quality diploid human reference genomes.

Authors:  Erich D Jarvis; Giulio Formenti; Arang Rhie; Andrea Guarracino; Chentao Yang; Jonathan Wood; Alan Tracey; Francoise Thibaud-Nissen; Mitchell R Vollger; David Porubsky; Haoyu Cheng; Mobin Asri; Glennis A Logsdon; Paolo Carnevali; Mark J P Chaisson; Chen-Shan Chin; Sarah Cody; Joanna Collins; Peter Ebert; Merly Escalona; Olivier Fedrigo; Robert S Fulton; Lucinda L Fulton; Shilpa Garg; Jennifer L Gerton; Jay Ghurye; Anastasiya Granat; Richard E Green; William Harvey; Patrick Hasenfeld; Alex Hastie; Marina Haukness; Erich B Jaeger; Miten Jain; Melanie Kirsche; Mikhail Kolmogorov; Jan O Korbel; Sergey Koren; Jonas Korlach; Joyce Lee; Daofeng Li; Tina Lindsay; Julian Lucas; Feng Luo; Tobias Marschall; Matthew W Mitchell; Jennifer McDaniel; Fan Nie; Hugh E Olsen; Nathan D Olson; Trevor Pesout; Tamara Potapova; Daniela Puiu; Allison Regier; Jue Ruan; Steven L Salzberg; Ashley D Sanders; Michael C Schatz; Anthony Schmitt; Valerie A Schneider; Siddarth Selvaraj; Kishwar Shafin; Alaina Shumate; Nathan O Stitziel; Catherine Stober; James Torrance; Justin Wagner; Jianxin Wang; Aaron Wenger; Chuanle Xiao; Aleksey V Zimin; Guojie Zhang; Ting Wang; Heng Li; Erik Garrison; David Haussler; Ira Hall; Justin M Zook; Evan E Eichler; Adam M Phillippy; Benedict Paten; Kerstin Howe; Karen H Miga
Journal:  Nature       Date:  2022-10-19       Impact factor: 69.504

3.  A model for transgenerational imprinting variation in complex traits.

Authors:  Chenguang Wang; Zhong Wang; Jiangtao Luo; Qin Li; Yao Li; Kwangmi Ahn; Daniel R Prows; Rongling Wu
Journal:  PLoS One       Date:  2010-07-14       Impact factor: 3.240

4.  A statistical design for testing transgenerational genomic imprinting in natural human populations.

Authors:  Yao Li; Yunqian Guo; Jianxin Wang; Wei Hou; Myron N Chang; Duanping Liao; Rongling Wu
Journal:  PLoS One       Date:  2011-02-25       Impact factor: 3.240

  4 in total

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