Literature DB >> 19012536

Quantitative genomics: analyzing intraspecific variation using global gene expression polymorphisms or eQTLs.

Dan Kliebenstein1.   

Abstract

Scientific inquiries in fields ranging from ecology to plant breeding assess phenotypic variation within a plant species either to explain its presence or utilize its consequences. Frequently this natural genetic variation is studied via mapping quantitative trait loci (QTLs); however, elucidation of the underlying molecular mechanisms is a continuing bottleneck. The genomic analysis of transcripts as individual phenotypes has led to the emerging field of expression QTL analysis. This field has begun both to delve into the ecological/evolutionary significance of this transcript variation as well as to use specific eQTLs to speed up our analysis of the molecular basis of quantitative traits. This review introduces eQTL analysis and begins to illustrate how these data can be applied to multiple research fields.

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Year:  2009        PMID: 19012536     DOI: 10.1146/annurev.arplant.043008.092114

Source DB:  PubMed          Journal:  Annu Rev Plant Biol        ISSN: 1543-5008            Impact factor:   26.379


  69 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.  Linking variants from genome-wide association analysis to function via transcriptional network analysis.

Authors:  Benjamin Keller; Sebastian Martini; John Sedor; Matthias Kretzler
Journal:  Semin Nephrol       Date:  2010-03       Impact factor: 5.299

Review 3.  Phenomics: the next challenge.

Authors:  David Houle; Diddahally R Govindaraju; Stig Omholt
Journal:  Nat Rev Genet       Date:  2010-12       Impact factor: 53.242

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

Review 5.  Genome-wide association studies in Sjögren's syndrome: What do the genes tell us about disease pathogenesis?

Authors:  Peter D Burbelo; Kiran Ambatipudi; Ilias Alevizos
Journal:  Autoimmun Rev       Date:  2014-03-18       Impact factor: 9.754

Review 6.  What has natural variation taught us about plant development, physiology, and adaptation?

Authors:  Carlos Alonso-Blanco; Mark G M Aarts; Leonie Bentsink; Joost J B Keurentjes; Matthieu Reymond; Dick Vreugdenhil; Maarten Koornneef
Journal:  Plant Cell       Date:  2009-07-02       Impact factor: 11.277

Review 7.  Systems biology uncovers the foundation of natural genetic diversity.

Authors:  Daniel J Kliebenstein
Journal:  Plant Physiol       Date:  2009-11-20       Impact factor: 8.340

8.  Expression quantitative trait locus mapping across water availability environments reveals contrasting associations with genomic features in Arabidopsis.

Authors:  David B Lowry; Tierney L Logan; Luca Santuari; Christian S Hardtke; James H Richards; Leah J DeRose-Wilson; John K McKay; Saunak Sen; Thomas E Juenger
Journal:  Plant Cell       Date:  2013-09-17       Impact factor: 11.277

9.  Structural and functional characterization of a winter malting barley.

Authors:  María Muñoz-Amatriaín; L Cistué; Y Xiong; H Bilgic; A D Budde; M R Schmitt; K P Smith; P M Hayes; G J Muehlbauer
Journal:  Theor Appl Genet       Date:  2009-12-04       Impact factor: 5.699

10.  Replication and narrowing of gene expression quantitative trait loci using inbred mice.

Authors:  Daniel M Gatti; Alison H Harrill; Fred A Wright; David W Threadgill; Ivan Rusyn
Journal:  Mamm Genome       Date:  2009-07-17       Impact factor: 2.957

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