Literature DB >> 25072629

Detecting and Characterizing Pleiotropy: New Methods for Uncovering the Connection Between the Complexity of Genomic Architecture and Multiple phenotypes.

Anna L Tyler1, Dana C Crawford2, Sarah A Pendergrass3.   

Abstract

Entities:  

Year:  2014        PMID： 25072629      PMCID： PMC4108263          DOI： 10.1142/9789814583220_0018

Source DB:  PubMed          Journal:  Pac Symp Biocomput        ISSN： 2335-6928


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  17 in total

1.  Adaptation and the cost of complexity.

Authors:  H A Orr
Journal:  Evolution       Date:  2000-02       Impact factor: 3.694

2.  Modularity and the cost of complexity.

Authors:  John J Welch; David Waxman
Journal:  Evolution       Date:  2003-08       Impact factor: 3.694

3.  The human disease network.

Authors:  Kwang-Il Goh; Michael E Cusick; David Valle; Barton Childs; Marc Vidal; Albert-László Barabási
Journal:  Proc Natl Acad Sci U S A       Date:  2007-05-14       Impact factor: 11.205

4.  Escape from adaptive conflict after duplication in an anthocyanin pathway gene.

Authors:  David L Des Marais; Mark D Rausher
Journal:  Nature       Date:  2008-06-25       Impact factor: 49.962

Review 5.  The pleiotropic structure of the genotype-phenotype map: the evolvability of complex organisms.

Authors:  Günter P Wagner; Jianzhi Zhang
Journal:  Nat Rev Genet       Date:  2011-03       Impact factor: 53.242

Review 6.  Phenomics: expanding the role of clinical evaluation in genomic studies.

Authors:  Matthew B Lanktree; Reina G Hassell; Piya Lahiry; Robert A Hegele
Journal:  J Investig Med       Date:  2010-06       Impact factor: 2.895

Review 7.  Network medicine: a network-based approach to human disease.

Authors:  Albert-László Barabási; Natali Gulbahce; Joseph Loscalzo
Journal:  Nat Rev Genet       Date:  2011-01       Impact factor: 53.242

8.  PheWAS: demonstrating the feasibility of a phenome-wide scan to discover gene-disease associations.

Authors:  Joshua C Denny; Marylyn D Ritchie; Melissa A Basford; Jill M Pulley; Lisa Bastarache; Kristin Brown-Gentry; Deede Wang; Dan R Masys; Dan M Roden; Dana C Crawford
Journal:  Bioinformatics       Date:  2010-03-24       Impact factor: 6.937

9.  Phenomics: the systematic study of phenotypes on a genome-wide scale.

Authors:  R M Bilder; F W Sabb; T D Cannon; E D London; J D Jentsch; D Stott Parker; R A Poldrack; C Evans; N B Freimer
Journal:  Neuroscience       Date:  2009-01-20       Impact factor: 3.590

10.  Probing genetic overlap among complex human phenotypes.

Authors:  Andrey Rzhetsky; David Wajngurt; Naeun Park; Tian Zheng
Journal:  Proc Natl Acad Sci U S A       Date:  2007-07-03       Impact factor: 11.205
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  4 in total

1.  INTEGRATING CLINICAL LABORATORY MEASURES AND ICD-9 CODE DIAGNOSES IN PHENOME-WIDE ASSOCIATION STUDIES.

Authors:  Anurag Verma; Joseph B Leader; Shefali S Verma; Alex Frase; John Wallace; Scott Dudek; Daniel R Lavage; Cristopher V Van Hout; Frederick E Dewey; John Penn; Alex Lopez; John D Overton; David J Carey; David H Ledbetter; H Lester Kirchner; Marylyn D Ritchie; Sarah A Pendergrass
Journal:  Pac Symp Biocomput       Date:  2016

2.  Phenome-Wide Association Studies: Leveraging Comprehensive Phenotypic and Genotypic Data for Discovery.

Authors:  S A Pendergrass; M D Ritchie
Journal:  Curr Genet Med Rep       Date:  2015-06-01

3.  Gene- and Disease-Based Expansion of the Knowledge on Inborn Errors of Immunity.

Authors:  Lyubov E Salnikova; Ekaterina V Chernyshova; Lyudmila A Anastasevich; Sergey S Larin
Journal:  Front Immunol       Date:  2019-10-21       Impact factor: 7.561

Review 4.  Resolution of Complex Issues in Genome Regulation and Cancer Requires Non-Linear and Network-Based Thermodynamics.

Authors:  Jekaterina Erenpreisa; Alessandro Giuliani
Journal:  Int J Mol Sci       Date:  2019-12-29       Impact factor: 5.923
  4 in total

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