Literature DB >> 19430479

Genome-wide association study of blood pressure and hypertension.

Daniel Levy1, Georg B Ehret, Kenneth Rice, Germaine C Verwoert, Lenore J Launer, Abbas Dehghan, Nicole L Glazer, Alanna C Morrison, Andrew D Johnson, Thor Aspelund, Yurii Aulchenko, Thomas Lumley, Anna Köttgen, Ramachandran S Vasan, Fernando Rivadeneira, Gudny Eiriksdottir, Xiuqing Guo, Dan E Arking, Gary F Mitchell, Francesco U S Mattace-Raso, Albert V Smith, Kent Taylor, Robert B Scharpf, Shih-Jen Hwang, Eric J G Sijbrands, Joshua Bis, Tamara B Harris, Santhi K Ganesh, Christopher J O'Donnell, Albert Hofman, Jerome I Rotter, Josef Coresh, Emelia J Benjamin, André G Uitterlinden, Gerardo Heiss, Caroline S Fox, Jacqueline C M Witteman, Eric Boerwinkle, Thomas J Wang, Vilmundur Gudnason, Martin G Larson, Aravinda Chakravarti, Bruce M Psaty, Cornelia M van Duijn.   

Abstract

Blood pressure is a major cardiovascular disease risk factor. To date, few variants associated with interindividual blood pressure variation have been identified and replicated. Here we report results of a genome-wide association study of systolic (SBP) and diastolic (DBP) blood pressure and hypertension in the CHARGE Consortium (n = 29,136), identifying 13 SNPs for SBP, 20 for DBP and 10 for hypertension at P < 4 × 10(-7). The top ten loci for SBP and DBP were incorporated into a risk score; mean BP and prevalence of hypertension increased in relation to the number of risk alleles carried. When ten CHARGE SNPs for each trait were included in a joint meta-analysis with the Global BPgen Consortium (n = 34,433), four CHARGE loci attained genome-wide significance (P < 5 × 10(-8)) for SBP (ATP2B1, CYP17A1, PLEKHA7, SH2B3), six for DBP (ATP2B1, CACNB2, CSK-ULK3, SH2B3, TBX3-TBX5, ULK4) and one for hypertension (ATP2B1). Identifying genes associated with blood pressure advances our understanding of blood pressure regulation and highlights potential drug targets for the prevention or treatment of hypertension.

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Year:  2009        PMID: 19430479      PMCID: PMC2998712          DOI: 10.1038/ng.384

Source DB:  PubMed          Journal:  Nat Genet        ISSN: 1061-4036            Impact factor:   38.330


  44 in total

1.  Prediction of deleterious human alleles.

Authors:  S Sunyaev; V Ramensky; I Koch; W Lathe; A S Kondrashov; P Bork
Journal:  Hum Mol Genet       Date:  2001-03-15       Impact factor: 6.150

2.  SNAP: a web-based tool for identification and annotation of proxy SNPs using HapMap.

Authors:  Andrew D Johnson; Robert E Handsaker; Sara L Pulit; Marcia M Nizzari; Christopher J O'Donnell; Paul I W de Bakker
Journal:  Bioinformatics       Date:  2008-10-30       Impact factor: 6.937

3.  Evidence for a gene influencing blood pressure on chromosome 17. Genome scan linkage results for longitudinal blood pressure phenotypes in subjects from the framingham heart study.

Authors:  D Levy; A L DeStefano; M G Larson; C J O'Donnell; R P Lifton; H Gavras; L A Cupples; R H Myers
Journal:  Hypertension       Date:  2000-10       Impact factor: 10.190

4.  Association of common variants in NPPA and NPPB with circulating natriuretic peptides and blood pressure.

Authors:  Christopher Newton-Cheh; Martin G Larson; Ramachandran S Vasan; Daniel Levy; Kenneth D Bloch; Aarti Surti; Candace Guiducci; Sekar Kathiresan; Emelia J Benjamin; Joachim Struck; Nils G Morgenthaler; Andreas Bergmann; Stefan Blankenberg; Frank Kee; Peter Nilsson; Xiaoyan Yin; Leena Peltonen; Erkki Vartiainen; Veikko Salomaa; Joel N Hirschhorn; Olle Melander; Thomas J Wang
Journal:  Nat Genet       Date:  2009-02-15       Impact factor: 38.330

5.  From the Cover: Whole-genome association study identifies STK39 as a hypertension susceptibility gene.

Authors:  Ying Wang; Jeffrey R O'Connell; Patrick F McArdle; James B Wade; Sarah E Dorff; Sanjiv J Shah; Xiaolian Shi; Lin Pan; Evadnie Rampersaud; Haiqing Shen; James D Kim; Arohan R Subramanya; Nanette I Steinle; Afshin Parsa; Carole C Ober; Paul A Welling; Aravinda Chakravarti; Alan B Weder; Richard S Cooper; Braxton D Mitchell; Alan R Shuldiner; Yen-Pei C Chang
Journal:  Proc Natl Acad Sci U S A       Date:  2008-12-29       Impact factor: 11.205

6.  Genome-wide association analysis of metabolic traits in a birth cohort from a founder population.

Authors:  Chiara Sabatti; Susan K Service; Anna-Liisa Hartikainen; Anneli Pouta; Samuli Ripatti; Jae Brodsky; Chris G Jones; Noah A Zaitlen; Teppo Varilo; Marika Kaakinen; Ulla Sovio; Aimo Ruokonen; Jaana Laitinen; Eveliina Jakkula; Lachlan Coin; Clive Hoggart; Andrew Collins; Hannu Turunen; Stacey Gabriel; Paul Elliot; Mark I McCarthy; Mark J Daly; Marjo-Riitta Järvelin; Nelson B Freimer; Leena Peltonen
Journal:  Nat Genet       Date:  2008-12-07       Impact factor: 38.330

7.  Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium: Design of prospective meta-analyses of genome-wide association studies from 5 cohorts.

Authors:  Bruce M Psaty; Christopher J O'Donnell; Vilmundur Gudnason; Kathryn L Lunetta; Aaron R Folsom; Jerome I Rotter; André G Uitterlinden; Tamara B Harris; Jacqueline C M Witteman; Eric Boerwinkle
Journal:  Circ Cardiovasc Genet       Date:  2009-02

Review 8.  A comprehensive review of genetic association studies.

Authors:  Joel N Hirschhorn; Kirk Lohmueller; Edward Byrne; Kurt Hirschhorn
Journal:  Genet Med       Date:  2002 Mar-Apr       Impact factor: 8.822

9.  Cytokine signaling and hematopoietic homeostasis are disrupted in Lnk-deficient mice.

Authors:  Laura Velazquez; Alec M Cheng; Heather E Fleming; Caren Furlonger; Shirly Vesely; Alan Bernstein; Christopher J Paige; Tony Pawson
Journal:  J Exp Med       Date:  2002-06-17       Impact factor: 14.307

10.  Shared and distinct genetic variants in type 1 diabetes and celiac disease.

Authors:  Deborah J Smyth; Vincent Plagnol; Neil M Walker; Jason D Cooper; Kate Downes; Jennie H M Yang; Joanna M M Howson; Helen Stevens; Ross McManus; Cisca Wijmenga; Graham A Heap; Patrick C Dubois; David G Clayton; Karen A Hunt; David A van Heel; John A Todd
Journal:  N Engl J Med       Date:  2008-12-10       Impact factor: 91.245

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  632 in total

Review 1.  Between candidate genes and whole genomes: time for alternative approaches in blood pressure genetics.

Authors:  Jacob Basson; Jeannette Simino; D C Rao
Journal:  Curr Hypertens Rep       Date:  2012-02       Impact factor: 5.369

2.  Fatty kidney, hypertension, and chronic kidney disease: the Framingham Heart Study.

Authors:  Meredith C Foster; Shih-Jen Hwang; Stacy A Porter; Joseph M Massaro; Udo Hoffmann; Caroline S Fox
Journal:  Hypertension       Date:  2011-09-19       Impact factor: 10.190

Review 3.  Dopamine, the kidney, and hypertension.

Authors:  Raymond C Harris; Ming-Zhi Zhang
Journal:  Curr Hypertens Rep       Date:  2012-04       Impact factor: 5.369

4.  Transgenic mice with -6A haplotype of the human angiotensinogen gene have increased blood pressure compared with -6G haplotype.

Authors:  Sudhir Jain; Andrej Tillinger; Brahmaraju Mopidevi; Varunkumar G Pandey; Chetankumar K Chauhan; Steven N Fiering; Soren Warming; Ashok Kumar
Journal:  J Biol Chem       Date:  2010-10-26       Impact factor: 5.157

5.  Genomics of human health and aging.

Authors:  Alexander M Kulminski; Irina Culminskaya
Journal:  Age (Dordr)       Date:  2011-12-16

6.  Epidemiological profiles between equol producers and nonproducers: a genomewide association study of the equol-producing phenotype.

Authors:  Kyung-Won Hong; Kwang-Pil Ko; Younjhin Ahn; Cheong-Sik Kim; Seon-Joo Park; Jae Kyung Park; Sung Soo Kim; Yeonjung Kim
Journal:  Genes Nutr       Date:  2012-04-03       Impact factor: 5.523

Review 7.  Under pressure: the search for the essential mechanisms of hypertension.

Authors:  Thomas M Coffman
Journal:  Nat Med       Date:  2011-11-07       Impact factor: 53.440

Review 8.  The molecular basis of blood pressure variation.

Authors:  Hakan R Toka; Jacob M Koshy; Ali Hariri
Journal:  Pediatr Nephrol       Date:  2012-07-05       Impact factor: 3.714

9.  Power and instrument strength requirements for Mendelian randomization studies using multiple genetic variants.

Authors:  Brandon L Pierce; Habibul Ahsan; Tyler J Vanderweele
Journal:  Int J Epidemiol       Date:  2010-09-02       Impact factor: 7.196

10.  Genome-Wide Gene-Potassium Interaction Analyses on Blood Pressure: The GenSalt Study (Genetic Epidemiology Network of Salt Sensitivity).

Authors:  Changwei Li; Jiang He; Jing Chen; Jinying Zhao; Dongfeng Gu; James E Hixson; Dabeeru C Rao; Cashell E Jaquish; Treva K Rice; Yun Ju Sung; Tanika N Kelly
Journal:  Circ Cardiovasc Genet       Date:  2017-12
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