Integrated Computational and Experimental Analysis of the Neuroendocrine Transcriptome in Genetic Hypertension Identifies Novel Control Points for the Cardiometabolic Syndrome | Zendy

Ryan S. Friese | Zendy; Chun Ye | Zendy; Caroline M. Nievergelt | Zendy; Andrew J. Schork | Zendy; Nitish R. Mahapatra | Zendy; Fangwen Rao | Zendy; Philip S. Napolitan | Zendy; Jill Waalen | Zendy; Georg Ehret | Zendy; Patricia B. Munroe | Zendy; Geert W. SchmidSchönbein | Zendy; Eleazar Eskin | Zendy; Daniel T. O’Connor | Zendy

Open Access

Integrated Computational and Experimental Analysis of the Neuroendocrine Transcriptome in Genetic Hypertension Identifies Novel Control Points for the Cardiometabolic Syndrome

Author(s) -

Ryan S. Friese,

Chun Ye,

Caroline M. Nievergelt,

Andrew J. Schork,

Nitish R. Mahapatra,

Fangwen Rao,

Philip S. Napolitan,

Jill Waalen,

Georg Ehret,

Patricia B. Munroe,

Geert W. SchmidSchönbein,

Eleazar Eskin,

Daniel T. O’Connor

Publication year - 2012

Publication title -

circulation cardiovascular genetics

Language(s) - English

Resource type - Journals

eISSN - 1942-325X

pISSN - 1942-3268

DOI - 10.1161/circgenetics.111.962415

Subject(s) - biology , blood pressure , genetics , population , candidate gene , transcriptome , genetic variation , quantitative trait locus , bioinformatics , gene , endocrinology , medicine , gene expression , environmental health

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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research