Sequence analysis of six blood pressure candidate regions in 4,178 individuals: The cohorts for heart and aging research in genomic epidemiology (CHARGE) targeted sequencing study

PLoS ONE

Volumn 9, Issue 10, 2014, Pages

  Morrison, Alanna C ^a   Bis, Joshua C ^b   Hwang, Shih Jen ^d,e   Ehret, Georg B ^f,h   Lumley, Thomas ^g   Rice, Kenneth ^b   Muzny, Donna ⁱ   Gibbs, Richard A ⁱ   Boerwinkle, Eric ^a,i   Psaty, Bruce M ^b,c,j   Chakravarti, Aravinda ^h   Levy, Daniel ^d,e  

^a UNIVERSITY OF TEXAS   (United States)

^b UNIVERSITY OF WASHINGTON SCHOOL OF MEDICINE   (United States)

^c UNIVERSITY OF WASHINGTON   (United States)

^d FRAMINGHAM HEART STUDY   (United States)

^e NATIONAL HEART LUNG AND BLOOD INSTITUTE   (United States)

^f GENEVA UNIVERSITY HOSPITALS   (Switzerland)

^g UNIVERSITY OF AUCKLAND   (New Zealand)

^h JOHNS HOPKINS UNIVERSITY SCHOOL OF MEDICINE   (United States)

ⁱ BAYLOR COLLEGE OF MEDICINE   (United States)

^j CENTER FOR HEALTH STUDIES   (United States)

more..

Author keywords

[No Author keywords available]

Indexed keywords

JAGGED1;

ADULT; ARTICLE; ATP2B1 GENE; BLOOD PRESSURE; CACNB2 GENE; COHORT ANALYSIS; CONTROLLED STUDY; COPY NUMBER VARIATION; CYP17A1 GENE; DIASTOLIC BLOOD PRESSURE; EUROPEAN; FEMALE; GENE; GENE LINKAGE DISEQUILIBRIUM; GENE TARGETING; GENETIC ASSOCIATION; GENETIC EPIDEMIOLOGY; GENETIC VARIABILITY; HUMAN; INTRON; JAG1 GENE; MALE; MEAN ARTERIAL PRESSURE; NUCLEOTIDE SEQUENCE; PLEKHA7 GENE; PULSE PRESSURE; SEQUENCE ANALYSIS; SH2B3 GENE; SINGLE NUCLEOTIDE POLYMORPHISM; SYSTOLIC BLOOD PRESSURE; AGING; GENETICS; HEART; PHYSIOLOGY;

AGING; BLOOD PRESSURE; COHORT STUDIES; HEART; HUMANS; SEQUENCE ANALYSIS;

EID: 84907494911     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0109155     Document Type: Article

References (17)

1. Kannel W (1974) Role of blood pressure in cardiovascular morbidity and mortality. Prog Cardiov Dis 17: 5-24.
2. Kearney PM, Whelton M, Reynolds K., Muntner P, Whelton PK, He J (2005) Global burden of hypertension: Analysis of worldwide data. Lancet 365: 217-223.
3. Levy D, Ehret GB, Rice K, Verwoert G.C., Launer LJ, et al. (2009) Genome-wide association study of blood pressure and hypertension. Nat Genet 41: 677-687.
4. Ehret GB, Munroe PB, Rice K.M., Bochud M., Johnson AD, et al. (2011) Genetic variants in novel pathways influence blood pressure and cardiovascular disease risk. Nature 478: 103-109.
5. Wain LV, Verwoert GC, O'Reilly PF, Shi G, Johnson T., et al. (2011) Genome-wide association study identifies six new loci influencing pulse pressure and mean arterial pressure. Nat Genet 43: 1005-1011.
6. Mussig K, Kaltenbach S, Machicao F., Maser-Gluth C, Hartmann MF, et al. (2005) 17alpha-hydroxylase/17,20-lyase deficiency caused by a novel homozy-gous mutation (y27stop) in the cytochrome CYP17 gene. J Clin Endocrin Metab 90: 4362-4365.
7. Psaty BM, O'Donnell CJ, Gudnason V, Lunetta K.L., Folsom AR, et al. (2009) Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium: Design of prospective meta-analyses of genome-wide association studies from 5 cohorts. Circ Cardiov Genet 2: 73-80.
8. The ARIC Investigators (1989) The Atherosclerosis Risk in Communities (ARIC) study: Design and objectives. Am J Epidemiol 129: 687-702.
9. Fried LP, Borhani NO, Enright P, Furberg C.D., Gardin JM, et al. (1991) The Cardiovascular Health Study: Design and rationale. Ann Epidemiol 1: 263-276.
10. Dawber T, Meadors G, Moore F (1951) Epidemiological approaches to heart disease: The Framingham Study. Am J Pub Hlth Nat Hlth 41: 279-281.
11. Feinleib M, Kannel W, Garrison R., McNamara P, Castelli W (1975) The Framingham Offspring Study. Design and preliminary data. Prev Med 4: 518-525.
12. Tobin MD, Sheehan NA, Scurrah K.J., Burton PR (2005) Adjusting for treatment effects in studies of quantitative traits: Antihypertensive therapy and systolic blood pressure. Stat Med 24: 2911-2935.
13. Wu J, Kraja AT, Oberman A, Lewis C.E., Ellison C., et al. (2005) A summary of the effects of antihypertensive medications on measured blood pressure. Am J Hypertens 18: 935-942.
14. Lin H, Wang M, Brody J.A., Bis JC, Dupuis J, et al. (2014) Strategies to Design and Analyze Targeted Sequencing Data: the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Targeted Sequencing Study. Circ Cardiov Genet 7: 335-343.
15. Willer CJ, Li Y, Abecasis GR (2010) Metal: Fast and efficient meta-analysis of genomewide association scans. Bioinf 26: 2190-2191.
16. Dickson SP, Wang K, Krantz I., Hakonarson H, Goldstein DB (2010) Rare variants create synthetic genome-wide associations. PLoS Biol 8: e1000294.
17. Boerwinkle E, Heckbert SR (2014) Following-up genome-wide association study signals: lessons learned from the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium Targeted Sequencing Study. Circ Cardiovasc Genet 7: 332-334.