Literature DB >> 23024270

Integrative genomics in cardiovascular medicine.

James S Ware1, Enrico Petretto, Stuart A Cook.   

Abstract

Integrative genomics studies have greatly advanced our understanding of cardiovascular pathophysiology over the last decade. Here, we highlight the strengths and challenges of this cutting-edge approach and provide examples where novel insights have arisen through the integration of multi-level genomic information and cardiac physiology. Going forward, the integration of comprehensive next-generation sequencing data sets with quantitative phenotypes at the molecular, cellular, and whole-heart level using advanced modelling approaches provides an unprecedented opportunity for cardiovascular science.

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Year:  2012        PMID: 23024270      PMCID: PMC3583255          DOI: 10.1093/cvr/cvs303

Source DB:  PubMed          Journal:  Cardiovasc Res        ISSN: 0008-6363            Impact factor:   10.787


  56 in total

1.  Altered patterns of gene expression in response to myocardial infarction.

Authors:  L W Stanton; L J Garrard; D Damm; B L Garrick; A Lam; A M Kapoun; Q Zheng; A A Protter; G F Schreiner; R T White
Journal:  Circ Res       Date:  2000-05-12       Impact factor: 17.367

2.  Openness costs.

Authors: 
Journal:  Nature       Date:  2012-06-27       Impact factor: 49.962

Review 3.  Genome-wide association studies for common diseases and complex traits.

Authors:  Joel N Hirschhorn; Mark J Daly
Journal:  Nat Rev Genet       Date:  2005-02       Impact factor: 53.242

Review 4.  Exome sequencing as a tool for Mendelian disease gene discovery.

Authors:  Michael J Bamshad; Sarah B Ng; Abigail W Bigham; Holly K Tabor; Mary J Emond; Deborah A Nickerson; Jay Shendure
Journal:  Nat Rev Genet       Date:  2011-09-27       Impact factor: 53.242

5.  Genetic dissection of transcriptional regulation in budding yeast.

Authors:  Rachel B Brem; Gaël Yvert; Rebecca Clinton; Leonid Kruglyak
Journal:  Science       Date:  2002-03-28       Impact factor: 47.728

Review 6.  Genetic Models in Applied Physiology. HXB/BXH rat recombinant inbred strain platform: a newly enhanced tool for cardiovascular, behavioral, and developmental genetics and genomics.

Authors:  Morton P Printz; Martin Jirout; Rebecca Jaworski; Adamu Alemayehu; Vladimir Kren
Journal:  J Appl Physiol (1985)       Date:  2003-06

7.  Endonuclease G is a novel determinant of cardiac hypertrophy and mitochondrial function.

Authors:  Chris McDermott-Roe; Junmei Ye; Rizwan Ahmed; Xi-Ming Sun; Anna Serafín; James Ware; Leonardo Bottolo; Phil Muckett; Xavier Cañas; Jisheng Zhang; Glenn C Rowe; Rachel Buchan; Han Lu; Adam Braithwaite; Massimiliano Mancini; David Hauton; Ramon Martí; Elena García-Arumí; Norbert Hubner; Howard Jacob; Tadao Serikawa; Vaclav Zidek; Frantisek Papousek; Frantisek Kolar; Maria Cardona; Marisol Ruiz-Meana; David García-Dorado; Joan X Comella; Leanne E Felkin; Paul J R Barton; Zoltan Arany; Michal Pravenec; Enrico Petretto; Daniel Sanchis; Stuart A Cook
Journal:  Nature       Date:  2011-10-05       Impact factor: 49.962

8.  Integration of GWAS SNPs and tissue specific expression profiling reveal discrete eQTLs for human traits in blood and brain.

Authors:  Dena G Hernandez; Mike A Nalls; Matthew Moore; Sean Chong; Allissa Dillman; Daniah Trabzuni; J Raphael Gibbs; Mina Ryten; Sampath Arepalli; Michael E Weale; Alan B Zonderman; Juan Troncoso; Richard O'Brien; Robert Walker; Colin Smith; Stefania Bandinelli; Bryan J Traynor; John Hardy; Andrew B Singleton; Mark R Cookson
Journal:  Neurobiol Dis       Date:  2012-03-12       Impact factor: 5.996

9.  Heritability and tissue specificity of expression quantitative trait loci.

Authors:  Enrico Petretto; Jonathan Mangion; Nicholas J Dickens; Stuart A Cook; Mande K Kumaran; Han Lu; Judith Fischer; Henrike Maatz; Vladimir Kren; Michal Pravenec; Norbert Hubner; Timothy J Aitman
Journal:  PLoS Genet       Date:  2006-08-28       Impact factor: 5.917

10.  Integrated genomic approaches implicate osteoglycin (Ogn) in the regulation of left ventricular mass.

Authors:  Enrico Petretto; Rizwan Sarwar; Ian Grieve; Han Lu; Mande K Kumaran; Phillip J Muckett; Jonathan Mangion; Blanche Schroen; Matthew Benson; Prakash P Punjabi; Sanjay K Prasad; Dudley J Pennell; Chris Kiesewetter; Elena S Tasheva; Lolita M Corpuz; Megan D Webb; Gary W Conrad; Theodore W Kurtz; Vladimir Kren; Judith Fischer; Norbert Hubner; Yigal M Pinto; Michal Pravenec; Timothy J Aitman; Stuart A Cook
Journal:  Nat Genet       Date:  2008-05       Impact factor: 38.330

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  8 in total

1.  Whole-Genome Sequencing and Integrative Genomic Analysis Approach on Two 22q11.2 Deletion Syndrome Family Trios for Genotype to Phenotype Correlations.

Authors:  Jonathan H Chung; Jinlu Cai; Barrie G Suskin; Zhengdong Zhang; Karlene Coleman; Bernice E Morrow
Journal:  Hum Mutat       Date:  2015-07-02       Impact factor: 4.878

2.  Sparse simultaneous signal detection for identifying genetically controlled disease genes.

Authors:  Sihai Dave Zhao; T Tony Cai; Thomas P Cappola; Kenneth B Margulies; Hongzhe Li
Journal:  J Am Stat Assoc       Date:  2017-01-05       Impact factor: 5.033

Review 3.  Genetics of diabetes complications.

Authors:  Sami Alkayyali; Valeriya Lyssenko
Journal:  Mamm Genome       Date:  2014-08-29       Impact factor: 2.957

4.  More powerful genetic association testing via a new statistical framework for integrative genomics.

Authors:  Sihai D Zhao; T Tony Cai; Hongzhe Li
Journal:  Biometrics       Date:  2014-06-26       Impact factor: 2.571

5.  From data gathering to systems medicine.

Authors:  Manuel Mayr
Journal:  Cardiovasc Res       Date:  2013-02-05       Impact factor: 10.787

Review 6.  From integrative genomics to systems genetics in the rat to link genotypes to phenotypes.

Authors:  Aida Moreno-Moral; Enrico Petretto
Journal:  Dis Model Mech       Date:  2016-10-01       Impact factor: 5.758

7.  Indirect effect inference and application to GAW20 data.

Authors:  Liming Li; Chan Wang; Tianyuan Lu; Shili Lin; Yue-Qing Hu
Journal:  BMC Genet       Date:  2018-09-17       Impact factor: 2.797

Review 8.  Genome-to-phenome research in rats: progress and perspectives.

Authors:  Amy L Zinski; Shane Carrion; Jennifer J Michal; Maria A Gartstein; Raymond M Quock; Jon F Davis; Zhihua Jiang
Journal:  Int J Biol Sci       Date:  2021-01-01       Impact factor: 6.580

  8 in total

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