Imperial College London
Alternate

ProfessorPaulElliott

Faculty of Medicine, School of Public Health

Chair in Epidemiology and Public Health Medicine
 
 
 
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Contact

 

+44 (0)20 7594 3328p.elliott Website

 
 
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Assistant

 

Miss Jennifer Wells +44 (0)20 7594 3328

 
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Location

 

154Norfolk PlaceSt Mary's Campus

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Summary

 

Publications

Citation

BibTex format

@article{Poulter:2017:10.1161/HYPERTENSIONAHA.117.09438,
author = {Poulter, NR and et, al},
doi = {10.1161/HYPERTENSIONAHA.117.09438},
journal = {Hypertension},
pages = {e4--e19},
title = {Novel Blood Pressure Locus and Gene Discovery Using Genome-Wide Association Study and Expression Data Sets From Blood and the Kidney},
url = {http://dx.doi.org/10.1161/HYPERTENSIONAHA.117.09438},
volume = {70},
year = {2017}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Elevated blood pressure is a major risk factor for cardiovascular disease and has a substantial genetic contribution. Genetic variation influencing blood pressure has the potential to identify new pharmacological targets for the treatment of hypertension. To discover additional novel blood pressure loci, we used 1000 Genomes Project–based imputation in 150 134 European ancestry individuals and sought significant evidence for independent replication in a further 228 245 individuals. We report 6 new signals of association in or near HSPB7, TNXB, LRP12, LOC283335, SEPT9, and AKT2, and provide new replication evidence for a further 2 signals in EBF2 and NFKBIA. Combining large whole-blood gene expression resources totaling 12 607 individuals, we investigated all novel and previously reported signals and identified 48 genes with evidence for involvement in blood pressure regulation that are significant in multiple resources. Three novel kidney-specific signals were also detected. These robustly implicated genes may provide new leads for therapeutic innovation.
AU  - Poulter,NR
AU  - et,al
DO  - 10.1161/HYPERTENSIONAHA.117.09438
EP  - 19
PY  - 2017///
SN  - 0194-911X
SP  - 4
TI  - Novel Blood Pressure Locus and Gene Discovery Using Genome-Wide Association Study and Expression Data Sets From Blood and the Kidney
T2  - Hypertension
UR  - http://dx.doi.org/10.1161/HYPERTENSIONAHA.117.09438
UR  - http://hdl.handle.net/10044/1/50119
VL  - 70
ER  -
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