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

Friese, Ryan S; Ye, Chun; Nievergelt, Caroline M; Schork, Andrew J; Mahapatra, Nitish R; Rao, Fangwen; Napolitan, Philip S; Waalen, Jill; Ehret, Georg Benedikt; Munroe, Patricia B; Schmid-Schönbein, Geert W; Eskin, Eleazar; O'Connor, Daniel T

doi:10.1161/CIRCGENETICS.111.962415

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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 Ehret, Georg Benedikt Munroe, Patricia B Schmid-Schönbein, Geert W Eskin, Eleazar O'Connor, Daniel T show all authors [1 - 13]
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/metabolism — Animals — Base Sequence — Blood Pressure/genetics — Computational Biology/methods — Enhancer Elements, Genetic/genetics — Genetic Predisposition to Disease — Humans — Hypertension/genetics — Luciferases/metabolism — Male — Meta-Analysis as Topic — Metabolic Syndrome X/genetics — Mice — Molecular Sequence Data — Myocardium/metabolism/pathology — Neurosecretory Systems/metabolism — Nucleotide Motifs/genetics — Oligonucleotide Array Sequence Analysis — Promoter Regions, Genetic/genetics — Protein Binding/genetics — RNA, Messenger/genetics/metabolism — Transcription Factors/metabolism — Transcription, Genetic — Transcriptional Activation/genetics — Transcriptome/genetics
Identifiers		DOI: 10.1161/CIRCGENETICS.111.962415 PMID: 22670052
Full text		Article (Accepted version) (789 Kb) - Free access
Structures		Faculté de médecine / Section de médecine clinique / Département de médecine
Research group		Traits génétiques complexes (901)
Citation (ISO format)		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. doi: 10.1161/CIRCGENETICS.111.962415 https://archive-ouverte.unige.ch/unige:32238