Literature DB >> 23138757

Systems genetics in "-omics" era: current and future development.

Hong Li1.   

Abstract

The systems genetics is an emerging discipline that integrates high-throughput expression profiling technology and systems biology approaches for revealing the molecular mechanism of complex traits, and will improve our understanding of gene functions in the biochemical pathway and genetic interactions between biological molecules. With the rapid advances of microarray analysis technologies, bioinformatics is extensively used in the studies of gene functions, SNP-SNP genetic interactions, LD block-block interactions, miRNA-mRNA interactions, DNA-protein interactions, protein-protein interactions, and functional mapping for LD blocks. Based on bioinformatics panel, which can integrate "-omics" datasets to extract systems knowledge and useful information for explaining the molecular mechanism of complex traits, systems genetics is all about to enhance our understanding of biological processes. Systems biology has provided systems level recognition of various biological phenomena, and constructed the scientific background for the development of systems genetics. In addition, the next-generation sequencing technology and post-genome wide association studies empower the discovery of new gene and rare variants. The integration of different strategies will help to propose novel hypothesis and perfect the theoretical framework of systems genetics, which will make contribution to the future development of systems genetics, and open up a whole new area of genetics.

Mesh:

Year:  2012        PMID: 23138757     DOI: 10.1007/s12064-012-0168-x

Source DB:  PubMed          Journal:  Theory Biosci        ISSN: 1431-7613            Impact factor:   1.919


  201 in total

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Authors:  Jiho Kim; Xiaolan Li; Moon-Sik Kang; Kang-Bin Im; Auguste Genovesio; Regis Grailhe
Journal:  Cytometry A       Date:  2011-11-10       Impact factor: 4.355

2.  Combining probability from independent tests: the weighted Z-method is superior to Fisher's approach.

Authors:  M C Whitlock
Journal:  J Evol Biol       Date:  2005-09       Impact factor: 2.411

Review 3.  Synthetic lethal interactions for the development of cancer therapeutics: biological and methodological advancements.

Authors:  Shinji Mizuarai; Hidehito Kotani
Journal:  Hum Genet       Date:  2010-10-26       Impact factor: 4.132

4.  A genome-wide association study of global gene expression.

Authors:  Anna L Dixon; Liming Liang; Miriam F Moffatt; Wei Chen; Simon Heath; Kenny C C Wong; Jenny Taylor; Edward Burnett; Ivo Gut; Martin Farrall; G Mark Lathrop; Gonçalo R Abecasis; William O C Cookson
Journal:  Nat Genet       Date:  2007-09-16       Impact factor: 38.330

5.  MoDIL: detecting small indels from clone-end sequencing with mixtures of distributions.

Authors:  Seunghak Lee; Fereydoun Hormozdiari; Can Alkan; Michael Brudno
Journal:  Nat Methods       Date:  2009-05-31       Impact factor: 28.547

Review 6.  Quantitative genomics: analyzing intraspecific variation using global gene expression polymorphisms or eQTLs.

Authors:  Dan Kliebenstein
Journal:  Annu Rev Plant Biol       Date:  2009       Impact factor: 26.379

7.  Personal genomes: The case of the missing heritability.

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

Review 8.  Synthetic lethality-based targets for discovery of new cancer therapeutics.

Authors:  Ulrich H Weidle; Daniela Maisel; Dirk Eick
Journal:  Cancer Genomics Proteomics       Date:  2011 Jul-Aug       Impact factor: 4.069

9.  Global eQTL mapping reveals the complex genetic architecture of transcript-level variation in Arabidopsis.

Authors:  Marilyn A L West; Kyunga Kim; Daniel J Kliebenstein; Hans van Leeuwen; Richard W Michelmore; R W Doerge; Dina A St Clair
Journal:  Genetics       Date:  2006-12-18       Impact factor: 4.562

Review 10.  Using biological knowledge to uncover the mystery in the search for epistasis in genome-wide association studies.

Authors:  Marylyn D Ritchie
Journal:  Ann Hum Genet       Date:  2011-01       Impact factor: 1.670

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  7 in total

Review 1.  Roseomics: a blank slate.

Authors:  Nathaniel J Moorman; Eain A Murphy
Journal:  Curr Opin Virol       Date:  2014-11-28       Impact factor: 7.090

Review 2.  Engineering crassulacean acid metabolism to improve water-use efficiency.

Authors:  Anne M Borland; James Hartwell; David J Weston; Karen A Schlauch; Timothy J Tschaplinski; Gerald A Tuskan; Xiaohan Yang; John C Cushman
Journal:  Trends Plant Sci       Date:  2014-02-19       Impact factor: 18.313

3.  Assessing the Role of Long Noncoding RNA in Nucleus Accumbens in Subjects With Alcohol Dependence.

Authors:  John Drake; Gowon O McMichael; Eric Sean Vornholt; Kellen Cresswell; Vernell Williamson; Chris Chatzinakos; Mohammed Mamdani; Siddharth Hariharan; Kenneth S Kendler; Gursharan Kalsi; Brien P Riley; Mikhail Dozmorov; Michael F Miles; Silviu-Alin Bacanu; Vladimir I Vladimirov
Journal:  Alcohol Clin Exp Res       Date:  2020-11-27       Impact factor: 3.455

4.  Molecular mechanisms underlying variations in lung function: a systems genetics analysis.

Authors:  Ma'en Obeidat; Ke Hao; Yohan Bossé; David C Nickle; Yunlong Nie; Dirkje S Postma; Michel Laviolette; Andrew J Sandford; Denise D Daley; James C Hogg; W Mark Elliott; Nick Fishbane; Wim Timens; Pirro G Hysi; Jaakko Kaprio; James F Wilson; Jennie Hui; Rajesh Rawal; Holger Schulz; Beate Stubbe; Caroline Hayward; Ozren Polasek; Marjo-Riitta Järvelin; Jing Hua Zhao; Deborah Jarvis; Mika Kähönen; Nora Franceschini; Kari E North; Daan W Loth; Guy G Brusselle; Albert Vernon Smith; Vilmundur Gudnason; Traci M Bartz; Jemma B Wilk; George T O'Connor; Patricia A Cassano; Wenbo Tang; Louise V Wain; María Soler Artigas; Sina A Gharib; David P Strachan; Don D Sin; Martin D Tobin; Stephanie J London; Ian P Hall; Peter D Paré
Journal:  Lancet Respir Med       Date:  2015-09-21       Impact factor: 30.700

5.  Integrating mRNA and miRNA Weighted Gene Co-Expression Networks with eQTLs in the Nucleus Accumbens of Subjects with Alcohol Dependence.

Authors:  Mohammed Mamdani; Vernell Williamson; Gowon O McMichael; Tana Blevins; Fazil Aliev; Amy Adkins; Laura Hack; Tim Bigdeli; Andrew D van der Vaart; Bradley Todd Web; Silviu-Alin Bacanu; Gursharan Kalsi; Kenneth S Kendler; Michael F Miles; Danielle Dick; Brien P Riley; Catherine Dumur; Vladimir I Vladimirov
Journal:  PLoS One       Date:  2015-09-18       Impact factor: 3.240

Review 6.  Multi-omic data integration and analysis using systems genomics approaches: methods and applications in animal production, health and welfare.

Authors:  Prashanth Suravajhala; Lisette J A Kogelman; Haja N Kadarmideen
Journal:  Genet Sel Evol       Date:  2016-04-29       Impact factor: 4.297

7.  Variable selection and validation in multivariate modelling.

Authors:  Lin Shi; Johan A Westerhuis; Johan Rosén; Rikard Landberg; Carl Brunius
Journal:  Bioinformatics       Date:  2019-03-15       Impact factor: 6.937

  7 in total

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