Literature DB >> 21085204

Phenomics: the next challenge.

David Houle1, Diddahally R Govindaraju, Stig Omholt.   

Abstract

A key goal of biology is to understand phenotypic characteristics, such as health, disease and evolutionary fitness. Phenotypic variation is produced through a complex web of interactions between genotype and environment, and such a 'genotype-phenotype' map is inaccessible without the detailed phenotypic data that allow these interactions to be studied. Despite this need, our ability to characterize phenomes - the full set of phenotypes of an individual - lags behind our ability to characterize genomes. Phenomics should be recognized and pursued as an independent discipline to enable the development and adoption of high-throughput and high-dimensional phenotyping.

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Year:  2010        PMID: 21085204     DOI: 10.1038/nrg2897

Source DB:  PubMed          Journal:  Nat Rev Genet        ISSN: 1471-0056            Impact factor:   53.242


  98 in total

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Journal:  Circulation       Date:  2003-01-28       Impact factor: 29.690

2.  A statistical problem for inference to regulatory structure from associations of gene expression measurements with microarrays.

Authors:  Tianjiao Chu; Clark Glymour; Richard Scheines; Peter Spirtes
Journal:  Bioinformatics       Date:  2003-06-12       Impact factor: 6.937

3.  THE NUMBER OF ALLELES THAT CAN BE MAINTAINED IN A FINITE POPULATION.

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Journal:  Genetics       Date:  1964-04       Impact factor: 4.562

Review 4.  Quantitative genomics: analyzing intraspecific variation using global gene expression polymorphisms or eQTLs.

Authors:  Dan Kliebenstein
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5.  Personal genomes: The case of the missing heritability.

Authors:  Brendan Maher
Journal:  Nature       Date:  2008-11-06       Impact factor: 49.962

6.  Age, Gene/Environment Susceptibility-Reykjavik Study: multidisciplinary applied phenomics.

Authors:  Tamara B Harris; Lenore J Launer; Gudny Eiriksdottir; Olafur Kjartansson; Palmi V Jonsson; Gunnar Sigurdsson; Gudmundur Thorgeirsson; Thor Aspelund; Melissa E Garcia; Mary Frances Cotch; Howard J Hoffman; Vilmundur Gudnason
Journal:  Am J Epidemiol       Date:  2007-03-10       Impact factor: 4.897

7.  Nonlinear regulation enhances the phenotypic expression of trans-acting genetic polymorphisms.

Authors:  Arne B Gjuvsland; Ben J Hayes; Theo H E Meuwissen; Erik Plahte; Stig W Omholt
Journal:  BMC Syst Biol       Date:  2007-07-25

8.  Six new loci associated with blood low-density lipoprotein cholesterol, high-density lipoprotein cholesterol or triglycerides in humans.

Authors:  Sekar Kathiresan; Olle Melander; Candace Guiducci; Aarti Surti; Noël P Burtt; Mark J Rieder; Gregory M Cooper; Charlotta Roos; Benjamin F Voight; Aki S Havulinna; Björn Wahlstrand; Thomas Hedner; Dolores Corella; E Shyong Tai; Jose M Ordovas; Göran Berglund; Erkki Vartiainen; Pekka Jousilahti; Bo Hedblad; Marja-Riitta Taskinen; Christopher Newton-Cheh; Veikko Salomaa; Leena Peltonen; Leif Groop; David M Altshuler; Marju Orho-Melander
Journal:  Nat Genet       Date:  2008-01-13       Impact factor: 38.330

Review 9.  Mouse MRI: concepts and applications in physiology.

Authors:  Robia G Pautler
Journal:  Physiology (Bethesda)       Date:  2004-08

10.  Genome-wide association study of 107 phenotypes in Arabidopsis thaliana inbred lines.

Authors:  Susanna Atwell; Yu S Huang; Bjarni J Vilhjálmsson; Glenda Willems; Matthew Horton; Yan Li; Dazhe Meng; Alexander Platt; Aaron M Tarone; Tina T Hu; Rong Jiang; N Wayan Muliyati; Xu Zhang; Muhammad Ali Amer; Ivan Baxter; Benjamin Brachi; Joanne Chory; Caroline Dean; Marilyne Debieu; Juliette de Meaux; Joseph R Ecker; Nathalie Faure; Joel M Kniskern; Jonathan D G Jones; Todd Michael; Adnane Nemri; Fabrice Roux; David E Salt; Chunlao Tang; Marco Todesco; M Brian Traw; Detlef Weigel; Paul Marjoram; Justin O Borevitz; Joy Bergelson; Magnus Nordborg
Journal:  Nature       Date:  2010-03-24       Impact factor: 49.962

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  319 in total

Review 1.  Reconstructing regulatory network transitions.

Authors:  Jalean J Petricka; Philip N Benfey
Journal:  Trends Cell Biol       Date:  2011-05-31       Impact factor: 20.808

Review 2.  Genetic, environmental and epigenetic influences on variation in human tooth number, size and shape.

Authors:  Grant Townsend; Michelle Bockmann; Toby Hughes; Alan Brook
Journal:  Odontology       Date:  2011-12-03       Impact factor: 2.634

Review 3.  At the heart of computational modelling.

Authors:  S A Niederer; N P Smith
Journal:  J Physiol       Date:  2012-01-23       Impact factor: 5.182

Review 4.  Cis-regulatory elements: molecular mechanisms and evolutionary processes underlying divergence.

Authors:  Patricia J Wittkopp; Gizem Kalay
Journal:  Nat Rev Genet       Date:  2011-12-06       Impact factor: 53.242

Review 5.  Molecular spandrels: tests of adaptation at the genetic level.

Authors:  Rowan D H Barrett; Hopi E Hoekstra
Journal:  Nat Rev Genet       Date:  2011-10-18       Impact factor: 53.242

6.  From phenotypic chaos to neurobiological order.

Authors:  Avram J Holmes; B T Thomas Yeo
Journal:  Nat Neurosci       Date:  2015-11       Impact factor: 24.884

7.  Snapshot prediction of carbon productivity, carbon and protein content in a Southern Ocean diatom using FTIR spectroscopy.

Authors:  Olivia Sackett; Katherina Petrou; Brian Reedy; Ross Hill; Martina Doblin; John Beardall; Peter Ralph; Philip Heraud
Journal:  ISME J       Date:  2015-07-31       Impact factor: 10.302

8.  Landmark-free geometric methods in biological shape analysis.

Authors:  Patrice Koehl; Joel Hass
Journal:  J R Soc Interface       Date:  2015-12-06       Impact factor: 4.118

9.  Genetic regulatory network motifs constrain adaptation through curvature in the landscape of mutational (co)variance.

Authors:  Tyler D Hether; Paul A Hohenlohe
Journal:  Evolution       Date:  2013-12-04       Impact factor: 3.694

10.  3D Sorghum Reconstructions from Depth Images Identify QTL Regulating Shoot Architecture.

Authors:  Ryan F McCormick; Sandra K Truong; John E Mullet
Journal:  Plant Physiol       Date:  2016-08-15       Impact factor: 8.340

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