Literature DB >> 24296534

Systems genetics approaches to understand complex traits.

Mete Civelek1, Aldons J Lusis1.   

Abstract

Systems genetics is an approach to understand the flow of biological information that underlies complex traits. It uses a range of experimental and statistical methods to quantitate and integrate intermediate phenotypes, such as transcript, protein or metabolite levels, in populations that vary for traits of interest. Systems genetics studies have provided the first global view of the molecular architecture of complex traits and are useful for the identification of genes, pathways and networks that underlie common human diseases. Given the urgent need to understand how the thousands of loci that have been identified in genome-wide association studies contribute to disease susceptibility, systems genetics is likely to become an increasingly important approach to understanding both biology and disease.

Entities:  

Mesh:

Year:  2013        PMID: 24296534      PMCID: PMC3934510          DOI: 10.1038/nrg3575

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


  129 in total

1.  An integrative genomics approach to infer causal associations between gene expression and disease.

Authors:  Eric E Schadt; John Lamb; Xia Yang; Jun Zhu; Steve Edwards; Debraj Guhathakurta; Solveig K Sieberts; Stephanie Monks; Marc Reitman; Chunsheng Zhang; Pek Yee Lum; Amy Leonardson; Rolf Thieringer; Joseph M Metzger; Liming Yang; John Castle; Haoyuan Zhu; Shera F Kash; Thomas A Drake; Alan Sachs; Aldons J Lusis
Journal:  Nat Genet       Date:  2005-06-19       Impact factor: 38.330

2.  Elucidating the role of gonadal hormones in sexually dimorphic gene coexpression networks.

Authors:  Atila van Nas; Debraj Guhathakurta; Susanna S Wang; Nadir Yehya; Steve Horvath; Bin Zhang; Leslie Ingram-Drake; Gautam Chaudhuri; Eric E Schadt; Thomas A Drake; Arthur P Arnold; Aldons J Lusis
Journal:  Endocrinology       Date:  2008-10-30       Impact factor: 4.736

Review 3.  Molecular networks as sensors and drivers of common human diseases.

Authors:  Eric E Schadt
Journal:  Nature       Date:  2009-09-10       Impact factor: 49.962

4.  Metabolomic profiles delineate potential role for sarcosine in prostate cancer progression.

Authors:  Arun Sreekumar; Laila M Poisson; Thekkelnaycke M Rajendiran; Amjad P Khan; Qi Cao; Jindan Yu; Bharathi Laxman; Rohit Mehra; Robert J Lonigro; Yong Li; Mukesh K Nyati; Aarif Ahsan; Shanker Kalyana-Sundaram; Bo Han; Xuhong Cao; Jaeman Byun; Gilbert S Omenn; Debashis Ghosh; Subramaniam Pennathur; Danny C Alexander; Alvin Berger; Jeffrey R Shuster; John T Wei; Sooryanarayana Varambally; Christopher Beecher; Arul M Chinnaiyan
Journal:  Nature       Date:  2009-02-12       Impact factor: 49.962

5.  Genetic regulation of human adipose microRNA expression and its consequences for metabolic traits.

Authors:  Mete Civelek; Raffi Hagopian; Calvin Pan; Nam Che; Wen-pin Yang; Paul S Kayne; Niyas K Saleem; Henna Cederberg; Johanna Kuusisto; Peter S Gargalovic; Todd G Kirchgessner; Markku Laakso; Aldons J Lusis
Journal:  Hum Mol Genet       Date:  2013-04-04       Impact factor: 6.150

6.  Sequential application of anticancer drugs enhances cell death by rewiring apoptotic signaling networks.

Authors:  Michael J Lee; Albert S Ye; Alexandra K Gardino; Anne Margriet Heijink; Peter K Sorger; Gavin MacBeath; Michael B Yaffe
Journal:  Cell       Date:  2012-05-11       Impact factor: 41.582

7.  Hyperglycemia and a common variant of GCKR are associated with the levels of eight amino acids in 9,369 Finnish men.

Authors:  Alena Stancáková; Mete Civelek; Niyas K Saleem; Pasi Soininen; Antti J Kangas; Henna Cederberg; Jussi Paananen; Jussi Pihlajamäki; Lori L Bonnycastle; Mario A Morken; Michael Boehnke; Päivi Pajukanta; Aldons J Lusis; Francis S Collins; Johanna Kuusisto; Mika Ala-Korpela; Markku Laakso
Journal:  Diabetes       Date:  2012-05-02       Impact factor: 9.461

Review 8.  Systematic deciphering of cancer genome networks.

Authors:  Bernard Fendler; Gurinder Atwal
Journal:  Yale J Biol Med       Date:  2012-09-25

9.  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

10.  Genetics meets metabolomics: a genome-wide association study of metabolite profiles in human serum.

Authors:  Christian Gieger; Ludwig Geistlinger; Elisabeth Altmaier; Martin Hrabé de Angelis; Florian Kronenberg; Thomas Meitinger; Hans-Werner Mewes; H-Erich Wichmann; Klaus M Weinberger; Jerzy Adamski; Thomas Illig; Karsten Suhre
Journal:  PLoS Genet       Date:  2008-11-28       Impact factor: 5.917

View more
  247 in total

1.  Evaluation of hierarchical models for integrative genomic analyses.

Authors:  Marie Denis; Mahlet G Tadesse
Journal:  Bioinformatics       Date:  2015-11-05       Impact factor: 6.937

Review 2.  A Next Generation Multiscale View of Inborn Errors of Metabolism.

Authors:  Carmen A Argmann; Sander M Houten; Jun Zhu; Eric E Schadt
Journal:  Cell Metab       Date:  2015-12-17       Impact factor: 27.287

Review 3.  Genetic control of root growth: from genes to networks.

Authors:  Radka Slovak; Takehiko Ogura; Santosh B Satbhai; Daniela Ristova; Wolfgang Busch
Journal:  Ann Bot       Date:  2015-11-11       Impact factor: 4.357

4.  How Gene Networks Can Uncover Novel CVD Players.

Authors:  Laurence D Parnell; Patricia Casas-Agustench; Lakshmanan K Iyer; Jose M Ordovas
Journal:  Curr Cardiovasc Risk Rep       Date:  2014-01

Review 5.  Genome-wide significant loci: how important are they? Systems genetics to understand heritability of coronary artery disease and other common complex disorders.

Authors:  Johan L M Björkegren; Jason C Kovacic; Joel T Dudley; Eric E Schadt
Journal:  J Am Coll Cardiol       Date:  2015-03-03       Impact factor: 24.094

6.  Emergence of pathway-level composite biomarkers from converging gene set signals of heterogeneous transcriptomic responses.

Authors:  Samir Rachid Zaim; Qike Li; A Grant Schissler; Yves A Lussier
Journal:  Pac Symp Biocomput       Date:  2018

7.  Genetic control of obesity, glucose homeostasis, dyslipidemia and fatty liver in a mouse model of diet-induced metabolic syndrome.

Authors:  D S Sinasac; J D Riordan; S H Spiezio; B S Yandell; C M Croniger; J H Nadeau
Journal:  Int J Obes (Lond)       Date:  2015-09-18       Impact factor: 5.095

Review 8.  Non-coding RNAs in cardiovascular diseases: diagnostic and therapeutic perspectives.

Authors:  Wolfgang Poller; Stefanie Dimmeler; Stephane Heymans; Tanja Zeller; Jan Haas; Mahir Karakas; David-Manuel Leistner; Philipp Jakob; Shinichi Nakagawa; Stefan Blankenberg; Stefan Engelhardt; Thomas Thum; Christian Weber; Benjamin Meder; Roger Hajjar; Ulf Landmesser
Journal:  Eur Heart J       Date:  2018-08-01       Impact factor: 29.983

9.  Environment drives selection and function of enhancers controlling tissue-specific macrophage identities.

Authors:  David Gosselin; Verena M Link; Casey E Romanoski; Gregory J Fonseca; Dawn Z Eichenfield; Nathanael J Spann; Joshua D Stender; Hyun B Chun; Hannah Garner; Frederic Geissmann; Christopher K Glass
Journal:  Cell       Date:  2014-12-04       Impact factor: 41.582

10.  Identification of a Core Module for Bone Mineral Density through the Integration of a Co-expression Network and GWAS Data.

Authors:  Olivia L Sabik; Gina M Calabrese; Eric Taleghani; Cheryl L Ackert-Bicknell; Charles R Farber
Journal:  Cell Rep       Date:  2020-09-15       Impact factor: 9.423

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.