Literature DB >> 23984798

Genome-wide modeling of complex phenotypes in Caenorhabditis elegans and Drosophila melanogaster.

Supriyo De1, Yongqing Zhang, Catherine A Wolkow, Sige Zou, Ilya Goldberg, Kevin G Becker.   

Abstract

BACKGROUND: The genetic and molecular basis for many intermediate and end stage phenotypes in model systems such as C. elegans and D. melanogaster has long been known to involve pleiotropic effects and complex multigenic interactions. Gene sets are groups of genes that contribute to multiple biological or molecular phenomena. They have been used in the analysis of large molecular datasets such as microarray data, Next Generation sequencing, and other genomic datasets to reveal pleiotropic and multigenic contributions to phenotypic outcomes. Many model systems lack species specific organized phenotype based gene sets to enable high throughput analysis of large molecular datasets. RESULTS AND DISCUSSION: Here, we describe two novel collections of gene sets in C. elegans and D. melanogaster that are based exclusively on genetically determined phenotypes and use a controlled phenotypic ontology. We use these collections to build genome-wide models of thousands of defined phenotypes in both model species. In addition, we demonstrate the utility of these gene sets in systems analysis and in analysis of gene expression-based molecular datasets and show how they are useful in analysis of genomic datasets connecting multigenic gene inputs to complex phenotypes.
CONCLUSIONS: Phenotypic based gene sets in both C. elegans and D. melanogaster are developed, characterized, and shown to be useful in the analysis of large scale species-specific genomic datasets. These phenotypic gene set collections will contribute to the understanding of complex phenotypic outcomes in these model systems.

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Mesh:

Year:  2013        PMID: 23984798      PMCID: PMC3849582          DOI: 10.1186/1471-2164-14-580

Source DB:  PubMed          Journal:  BMC Genomics        ISSN: 1471-2164            Impact factor:   3.969


  19 in total

1.  Disease and phenotype gene set analysis of disease-based gene expression in mouse and human.

Authors:  Supriyo De; Yongqing Zhang; John R Garner; S Alex Wang; Kevin G Becker
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Review 2.  Gene-set approach for expression pattern analysis.

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Review 3.  Gene set analysis of genome-wide association studies: methodological issues and perspectives.

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4.  Chromatin remodeling in the aging genome of Drosophila.

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Journal:  Aging Cell       Date:  2010-10-21       Impact factor: 9.304

5.  Worm Phenotype Ontology: integrating phenotype data within and beyond the C. elegans community.

Authors:  Gary Schindelman; Jolene S Fernandes; Carol A Bastiani; Karen Yook; Paul W Sternberg
Journal:  BMC Bioinformatics       Date:  2011-01-24       Impact factor: 3.169

6.  GSA-SNP: a general approach for gene set analysis of polymorphisms.

Authors:  Dougu Nam; Jin Kim; Seon-Young Kim; Sangsoo Kim
Journal:  Nucleic Acids Res       Date:  2010-05-25       Impact factor: 16.971

7.  Age-related behaviors have distinct transcriptional profiles in Caenorhabditis elegans.

Authors:  Tamara R Golden; Alan Hubbard; Caroline Dando; Michael A Herren; Simon Melov
Journal:  Aging Cell       Date:  2008-12       Impact factor: 9.304

8.  A decline in p38 MAPK signaling underlies immunosenescence in Caenorhabditis elegans.

Authors:  Matthew J Youngman; Zoë N Rogers; Dennis H Kim
Journal:  PLoS Genet       Date:  2011-05-19       Impact factor: 5.917

9.  Systematic analysis, comparison, and integration of disease based human genetic association data and mouse genetic phenotypic information.

Authors:  Yonqing Zhang; Supriyo De; John R Garner; Kirstin Smith; S Alex Wang; Kevin G Becker
Journal:  BMC Med Genomics       Date:  2010-01-21       Impact factor: 3.063

10.  WormBase: a comprehensive resource for nematode research.

Authors:  Todd W Harris; Igor Antoshechkin; Tamberlyn Bieri; Darin Blasiar; Juancarlos Chan; Wen J Chen; Norie De La Cruz; Paul Davis; Margaret Duesbury; Ruihua Fang; Jolene Fernandes; Michael Han; Ranjana Kishore; Raymond Lee; Hans-Michael Müller; Cecilia Nakamura; Philip Ozersky; Andrei Petcherski; Arun Rangarajan; Anthony Rogers; Gary Schindelman; Erich M Schwarz; Mary Ann Tuli; Kimberly Van Auken; Daniel Wang; Xiaodong Wang; Gary Williams; Karen Yook; Richard Durbin; Lincoln D Stein; John Spieth; Paul W Sternberg
Journal:  Nucleic Acids Res       Date:  2009-11-12       Impact factor: 16.971

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