Literature DB >> 16154229

The quantitative genetics of transcription.

Greg Gibson1, Bruce Weir.   

Abstract

Quantitative geneticists have become interested in the heritability of transcription and detection of expression quantitative trait loci (eQTLs). Linkage mapping methods have identified major-effect eQTLs for some transcripts and have shown that regulatory polymorphisms in cis and in trans affect expression. It is also clear that these mapping strategies have little power to detect polygenic factors, and some new statistical approaches are emerging that paint a more complex picture of transcriptional heritability. Several studies imply pervasive non-additivity of transcription, transgressive segregation and epistasis, and future studies will soon document the extent of genotype-environment interaction and population structure at the transcriptional level. The implications of these findings for genotype-phenotype mapping and modeling the evolution of transcription are discussed.

Mesh:

Year:  2005        PMID: 16154229     DOI: 10.1016/j.tig.2005.08.010

Source DB:  PubMed          Journal:  Trends Genet        ISSN: 0168-9525            Impact factor:   11.639


  118 in total

1.  cDNA-AFLP-based genetical genomics in cotton fibers.

Authors:  Michel Claverie; Marlène Souquet; Janine Jean; Nelly Forestier-Chiron; Vincent Lepitre; Martial Pré; John Jacobs; Danny Llewellyn; Jean-Marc Lacape
Journal:  Theor Appl Genet       Date:  2011-11-13       Impact factor: 5.699

Review 2.  On the origin of species: insights from the ecological genomics of lake whitefish.

Authors:  Louis Bernatchez; Sébastien Renaut; Andrew R Whiteley; Nicolas Derome; Julie Jeukens; Lysandre Landry; Guoqing Lu; Arne W Nolte; Kjartan Ostbye; Sean M Rogers; Jérôme St-Cyr
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-06-12       Impact factor: 6.237

3.  Non-adaptive plasticity potentiates rapid adaptive evolution of gene expression in nature.

Authors:  Cameron K Ghalambor; Kim L Hoke; Emily W Ruell; Eva K Fischer; David N Reznick; Kimberly A Hughes
Journal:  Nature       Date:  2015-09-02       Impact factor: 49.962

Review 4.  Molecular and evolutionary processes generating variation in gene expression.

Authors:  Mark S Hill; Pétra Vande Zande; Patricia J Wittkopp
Journal:  Nat Rev Genet       Date:  2020-12-02       Impact factor: 53.242

5.  Key considerations for measuring allelic expression on a genomic scale using high-throughput sequencing.

Authors:  Pierre Fontanillas; Christian R Landry; Patricia J Wittkopp; Carsten Russ; Jonathan D Gruber; Chad Nusbaum; Daniel L Hartl
Journal:  Mol Ecol       Date:  2010-03       Impact factor: 6.185

Review 6.  Genetic variation in human gene expression.

Authors:  Emmanouil T Dermitzakis; Barbara E Stranger
Journal:  Mamm Genome       Date:  2006-06-12       Impact factor: 2.957

7.  Neutral and adaptive variation in gene expression.

Authors:  Andrew Whitehead; Douglas L Crawford
Journal:  Proc Natl Acad Sci U S A       Date:  2006-03-27       Impact factor: 11.205

8.  Inheritance patterns of transcript levels in F1 hybrid mice.

Authors:  Xiangqin Cui; Jason Affourtit; Keith R Shockley; Yong Woo; Gary A Churchill
Journal:  Genetics       Date:  2006-08-03       Impact factor: 4.562

9.  Genome-wide transcript analysis of maize hybrids: allelic additive gene expression and yield heterosis.

Authors:  Mei Guo; Mary A Rupe; Xiaofeng Yang; Oswald Crasta; Christopher Zinselmeier; Oscar S Smith; Ben Bowen
Journal:  Theor Appl Genet       Date:  2006-07-26       Impact factor: 5.699

10.  A genome-wide approach to identifying novel-imprinted genes.

Authors:  Katherine S Pollard; David Serre; Xu Wang; Heng Tao; Elin Grundberg; Thomas J Hudson; Andrew G Clark; Kelly Frazer
Journal:  Hum Genet       Date:  2007-10-23       Impact factor: 4.132

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