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Title

Integrated computational and experimental analysis of the neuroendocrine transcriptome in genetic hypertension identifies novel control points for the cardiometabolic syndrome

Authors
Friese, Ryan S
Ye, Chun
Nievergelt, Caroline M
Schork, Andrew J
Mahapatra, Nitish R
Rao, Fangwen
Napolitan, Philip S
Waalen, Jill
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Published in Circulation: Cardiovascular Genetics. 2012, vol. 5, no. 4, p. 430-40
Abstract Essential hypertension, a common complex disease, displays substantial genetic influence. Contemporary methods to dissect the genetic basis of complex diseases such as the genomewide association study are powerful, yet a large gap exists between the fraction of population trait variance explained by such associations and total disease heritability.
Keywords Adrenal Glands/metabolismAnimalsBase SequenceBlood Pressure/geneticsComputational Biology/methodsEnhancer Elements, Genetic/geneticsGenetic Predisposition to DiseaseHumansHypertension/geneticsLuciferases/metabolismMaleMeta-Analysis as TopicMetabolic Syndrome X/geneticsMiceMolecular Sequence DataMyocardium/metabolism/pathologyNeurosecretory Systems/metabolismNucleotide Motifs/geneticsOligonucleotide Array Sequence AnalysisPromoter Regions, Genetic/geneticsProtein Binding/geneticsRNA, Messenger/genetics/metabolismTranscription Factors/metabolismTranscription, GeneticTranscriptional Activation/geneticsTranscriptome/genetics
Identifiers
PMID: 22670052
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Research group Traits génétiques complexes (901)
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FRIESE, Ryan S et al. Integrated computational and experimental analysis of the neuroendocrine transcriptome in genetic hypertension identifies novel control points for the cardiometabolic syndrome. In: Circulation: Cardiovascular Genetics, 2012, vol. 5, n° 4, p. 430-40. https://archive-ouverte.unige.ch/unige:32238

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Deposited on : 2013-12-17

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