International genome-wide association study consortium identifies novel loci associated with blood pressure in children and adolescents

Circulation: Cardiovascular Genetics

Volumn 9, Issue 3, 2016, Pages 266-278

  Parmar, Priyakumari Ganesh ^a   Taal, H Rob ^c   Timpson, Nicholas J ^c   Thiering, Elisabeth ^c   Lehtimäki, Terho ^c   Marinelli, Marcella ^c   Lind, Penelope A ^c   Howe, Laura D ^c   Verwoert, Germaine ^c   Aalto, Ville ^c   Uitterlinden, Andre G ^c   Briollais, Laurent ^c   Evans, Dave M ^c   Wright, Margie J ^c   Newnham, John P ^c   Whitfield, John B ^c   Lyytikäinen, Leo Pekka ^c   Rivadeneira, Fernando ^c   Boomsma, Dorrett I ^c   Viikari, Jorma ^c   Gillman, Matthew W ^c   St Pourcain, Beate ^c   Hottenga, Jouke Jan ^c   Montgomery, Grant W ^c   Hofman, Albert ^c   Kähönen, Mika ^c   Martin, Nicholas G ^c   Tobin, Martin D ^c   Raitakari, Ollie ^c   Vioque, Jesus ^c   Jaddoe, Vincent W V ^c   Jarvelin, Marjo Riita ^c   Beilin, Lawrence J ^c   Heinrich, Joachim ^c   Van Duijn, Cornelia M ^c   Pennell, Craig E ^c   Lawlor, Debbie A ^b   Palmer, Lyle J ^c   more..

^a AUCKLAND UNIVERSITY OF TECHNOLOGY   (New Zealand)

^b MRC IEU   (United Kingdom)

^c NONE

Author keywords

blood pressure; children; genetic epidemiology; Genome Wide Association Study; hypertension; prehypertension

Indexed keywords

TRANSCRIPTION FACTOR; ALPHA INTEGRIN; GENETIC MARKER; ITGA11 PROTEIN, HUMAN;

ADOLESCENT; ADULT; ANCESTRY GROUP; ARTICLE; BLOOD PRESSURE; BLOOD PRESSURE MEASUREMENT; CHILD; CHROMATIN IMMUNOPRECIPITATION; COHORT ANALYSIS; DIASTOLIC BLOOD PRESSURE; DNA METHYLATION; FEMALE; GENE; GENE LOCUS; GENETIC ASSOCIATION; GENETIC VARIABILITY; GENOME-WIDE ASSOCIATION STUDY; GROUPS BY AGE; HUMAN; MAJOR CLINICAL STUDY; MALE; PREPUBERTY; PRIORITY JOURNAL; PUBERTY; SINGLE NUCLEOTIDE POLYMORPHISM; SYSTOLIC BLOOD PRESSURE; AGE; CAUCASIAN; CLINICAL TRIAL; COMPARATIVE STUDY; ETHNOLOGY; GENETIC MARKER; GENETIC PREDISPOSITION; GENETICS; HYPERTENSION; META ANALYSIS; MOLECULAR EPIDEMIOLOGY; MULTICENTER STUDY; PATHOPHYSIOLOGY; PHENOTYPE; PRESCHOOL CHILD; RISK ASSESSMENT; RISK FACTOR; YOUNG ADULT;

ADOLESCENT; AGE FACTORS; BLOOD PRESSURE; CHILD; CHILD, PRESCHOOL; EUROPEAN CONTINENTAL ANCESTRY GROUP; FEMALE; GENETIC LOCI; GENETIC MARKERS; GENETIC PREDISPOSITION TO DISEASE; GENOME-WIDE ASSOCIATION STUDY; HUMANS; HYPERTENSION; INTEGRIN ALPHA CHAINS; MALE; MOLECULAR EPIDEMIOLOGY; PHENOTYPE; POLYMORPHISM, SINGLE NUCLEOTIDE; RISK ASSESSMENT; RISK FACTORS; YOUNG ADULT;

EID: 84975682930     PISSN: 1942325X     EISSN: 19423268     Source Type: Journal    
DOI: 10.1161/CIRCGENETICS.115.001190     Document Type: Article

References (57)

1. Ehret GB, Caulfield MJ, Genes for blood pressure: an opportunity to understand hypertension. Eur Heart J 2013 34 951 961. doi: 10.1093/eurheartj/ehs455.
2. Stamler J, Stamler R, Neaton JD, Blood pressure, systolic and diastolic, and cardiovascular risks. US population data. Arch Intern Med 1993 153 598 615
3. Vasan RS, Larson MG, Leip EP, Evans JC, O'Donnell CJ, Kannel WB, Impact of high-normal blood pressure on the risk of cardiovascular disease. N Engl J Med 2001 345 1291 1297. doi: 10.1056/NEJMoa003417.
4. Mahoney LT, Burns TL, Stanford W, Thompson BH, Witt JD, Rost CA, Coronary risk factors measured in childhood and young adult life are associated with coronary artery calcification in young adults: the Muscatine Study. J Am Coll Cardiol 1996 27 277 284
5. Muntner P, He J, Cutler JA, Wildman RP, Whelton PK, Trends in blood pressure among children and adolescents. JAMA 2004 291 2107 2113. doi: 10.1001/jama.291.17.2107.
6. WHO World health statistics 2012. Global Health Observatory (GHO) 2012
7. Levy D, DeStefano AL, Larson MG, O'Donnell CJ, Lifton RP, Gavras H, 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. Hypertension 2000 36 477 483
8. Guidelines Subcommittee 1999 World Health Organization-International Society of Hypertension Guidelines for the Management of Hypertension. J Hypertens 1999 17 151 183
9. Burt VL, Whelton P, Roccella EJ, Brown C, Cutler JA, Higgins M, Prevalence of hypertension in the US adult population. Results from the Third National Health and Nutrition Examination Survey, 1988-1991. Hypertension 1995 25 305 313
10. Lieb W, Jansen H, Loley C, Pencina MJ, Nelson CP, Newton-Cheh C, CARDIoGRAM Genetic predisposition to higher blood pressure increases coronary artery disease risk. Hypertension 2013 61 995 1001. doi: 10.1161/HYPERTENSIONAHA.111.00275.
11. Franceschini N, Fox E, Zhang Z, Edwards TL, Nalls MA, Sung YJ, Asian Genetic Epidemiology Network Consortium Genome-wide association analysis of blood-pressure traits in African-Ancestry individuals reveals common associated genes in African and non-African populations. Am J Hum Genet 2013 93 545 554. doi: 10.1016/j.ajhg.2013.07.010.
12. Hong KW, Min H, Heo BM, Joo SE, Kim SS, Kim Y, Recapitulation of genome-wide association studies on pulse pressure and mean arterial pressure in the Korean population. J Hum Genet 2012 57 391 393. doi: 10.1038/jhg.2012.31.
13. Wain LV, Verwoert GC, O'Reilly PF, Shi G, Johnson T, Johnson AD, LifeLines Cohort Study; EchoGen consortium; AortaGen Consortium; CHARGE Consortium Heart Failure Working Group; KidneyGen consortium; CKDGen consortium; Cardiogenics consortium; CardioGram Genome-wide association study identifies six new loci influencing pulse pressure and mean arterial pressure. Nat Genet 2011 43 1005 1011. doi: 10.1038/ng.922.
14. Liu C, Li H, Qi Q, Lu L, Gan W, Loos RJ, Common variants in or near FGF5, CYP17A1 and MTHFR genes are associated with blood pressure and hypertension in Chinese Hans. J Hypertens 2011 29 70 75. doi: 10.1097/HJH.0b013e32833f60ab.
15. Kraja AT, Vaidya D, Pankow JS, Goodarzi MO, Assimes TL, Kullo IJ, A bivariate genome-wide approach to metabolic syndrome: STAMPEED consortium. Diabetes 2011 60 1329 1339. doi: 10.2337/db10-1011.
16. Kato N, Takeuchi F, Tabara Y, Kelly TN, Go MJ, Sim X, Meta-Analysis of genome-wide association studies identifies common variants associated with blood pressure variation in east Asians. Nat Genet 2011 43 531 538. doi: 10.1038/ng.834.
17. Ehret GB, Munroe PB, Rice KM, Bochud M, Johnson AD, Chasman DI, Genetic variants in novel pathways influence blood pressure and cardiovascular disease risk. Nature 2011 478 103 109
18. Padmanabhan S, Melander O, Johnson T, Di Blasio AM, Lee WK, Gentilini D, Global BPgen Consortium Genome-wide association study of blood pressure extremes identifies variant near UMOD associated with hypertension. PLoS Genet 2010 6 e1001177. doi: 10.1371/journal.pgen.1001177.
19. Soranzo N, Spector TD, Mangino M, Kühnel B, Rendon A, Teumer A, A genome-wide meta-Analysis identifies 22 loci associated with eight hematological parameters in the HaemGen consortium. Nat Genet 2009 41 1182 1190. doi: 10.1038/ng.467.
20. Newton-Cheh C, Johnson T, Gateva V, Tobin MD, Bochud M, Coin L, Wellcome Trust Case Control Consortium Genome-wide association study identifies eight loci associated with blood pressure. Nat Genet 2009 41 666 676. doi: 10.1038/ng.361.
21. Levy D, Ehret GB, Rice K, Verwoert GC, Launer LJ, Dehghan A, Genome-wide association study of blood pressure and hypertension. Nat Genet 2009 41 677 687. doi: 10.1038/ng.384.
22. Ganesh SK, Tragante V, Guo W, Guo Y, Lanktree MB, Smith EN, CARDIOGRAM, METASTROKE; LifeLines Cohort Study Loci influencing blood pressure identified using a cardiovascular gene-centric array. Hum Mol Genet 2013 22 1663 1678. doi: 10.1093/hmg/dds555.
23. Johnson T, Gaunt TR, Newhouse SJ, Padmanabhan S, Tomaszewski M, Kumari M, Cardiogenics Consortium; Global BPgen Consortium Blood pressure loci identified with a gene-centric array. Am J Hum Genet 2011 89 688 700. doi: 10.1016/j.ajhg.2011.10.013.
24. Tragante V, Barnes MR, Ganesh SK, Lanktree MB, Guo W, Franceschini N, Gene-centric meta-Analysis in 87,736 individuals of European ancestry identifies multiple blood-pressure-related loci. Am J Hum Genet 2014 94 349 360. doi: 10.1016/j.ajhg.2013.12.016.
25. Milsted A, Underwood AC, Dunmire J, DelPuerto HL, Martins AS, Ely DL, Regulation of multiple renin-Angiotensin system genes by Sry. J Hypertens 2010 28 59 64. doi: 10.1097/HJH.0b013e328332b88d.
26. Wills AK, Lawlor DA, Matthews FE, Sayer AA, Bakra E, Ben-Shlomo Y, Life course trajectories of systolic blood pressure using longitudinal data from eight UK cohorts. PLoS Med 2011 8 e1000440. doi: 10.1371/journal.pmed.1000440.
27. Labarthe DR, Dai S, Fulton JE, Harrist RB, Shah SM, Eissa MA, Systolic and fourth- And fifth-phase diastolic blood pressure from ages 8 to 18 years: Project HeartBeat! Am J Prev Med 2009 37 1 suppl S86 S96. doi: 10.1016/j.amepre.2009.04.014.
28. Lawlor DA, Smith GD, Early life determinants of adult blood pressure. Curr Opin Nephrol Hypertens 2005 14 259 264
29. McCarron DA, Sodium excretion and cardiovascular mortality. Lancet 2001 358 665. author reply 666. doi: 10.1016/S0140-6736(01)05793-2.
30. Melka MG, Bernard M, Mahboubi A, Abrahamowicz M, Paterson AD, Syme C, Genome-wide scan for loci of adolescent obesity and their relationship with blood pressure. J Clin Endocrinol Metab 2012 97 E145 E150. doi: 10.1210/jc.2011-1801.
31. Xi B, Shen Y, Zhao X, Chandak GR, Cheng H, Hou D, Association of common variants in/near six genes (ATP2B1, CSK, MTHFR, CYP17A1, STK39 and FGF5) with blood pressure/hypertension risk in Chinese children. J Hum Hypertens 2014 28 32 36. doi: 10.1038/jhh.2013.50.
32. Bhatnagar P, Barron-Casella E, Bean CJ, Milton JN, Baldwin CT, Steinberg MH, Genome-wide meta-Analysis of systolic blood pressure in children with sickle cell disease. PLoS One 2013 8 e74193. doi: 10.1371/journal.pone.0074193.
33. Abecasis GR, Cherny SS, Cookson WO, Cardon LR, Merlin-rapid analysis of dense genetic maps using sparse gene flow trees. Nat Genet 2002 30 97 101. doi: 10.1038/ng786.
34. Takeuchi F, Isono M, Katsuya T, Yamamoto K, Yokota M, Sugiyama T, Blood pressure and hypertension are associated with 7 loci in the Japanese population. Circulation 2010 121 2302 2309. doi: 10.1161/CIRCULATIONAHA.109.904664.
35. ENCODE Project Consortium An integrated encyclopedia of DNA elements in the human genome. Nature 2012 489 57 74. doi: 10.1038/nature11247.
36. Deloukas P, Kanoni S, Willenborg C, Farrall M, Assimes TL, Thompson JR, Large-scale association analysis identifies new risk loci for coronary artery disease. Nat Genet 2013 45 25 33
37. Preuss M, König IR, Thompson JR, Erdmann J, Absher D, Assimes TL, CARDIoGRAM Consortium Design of the Coronary ARtery DIsease Genome-Wide Replication And Meta-Analysis (CARDIoGRAM) Study: A Genome-wide association meta-Analysis involving more than 22 000 cases and 60 000 controls. Circ Cardiovasc Genet 2010 3 475 483. doi: 10.1161/CIRCGENETICS.109.899443.
38. Willer CJ, Li Y, Abecasis GR, METAL: fast and efficient meta-Analysis of genomewide association scans. Bioinformatics 2010 26 2190 2191. doi: 10.1093/bioinformatics/btq340.
39. R Core Team (2015) R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org/
40. Pruim RJ, Welch RP, Sanna S, Teslovich TM, Chines PS, Gliedt TP, LocusZoom: regional visualization of genome-wide association scan results. Bioinformatics 2010 26 2336 2337. doi: 10.1093/bioinformatics/btq419.
41. Howe LD, Parmar PG, Paternoster L, Warrington NM, Kemp JP, Briollais L, Genetic influences on trajectories of systolic blood pressure across childhood and adolescence. Circ Cardiovasc Genet 2013 6 608 614. doi: 10.1161/CIRCGENETICS.113.000197.
42. Punwasi RV, Monnereau C, Hofman A, Jaddoe VW, Felix JF, The Influence of Known Genetic Variants on Subclinical Cardiovascular Outcomes in Childhood: Generation R Study. Circ Cardiovasc Genet 2015 8 596 602. doi: 10.1161/CIRCGENETICS.114.000915.
43. Talior-Volodarsky I, Connelly KA, Arora PD, Gullberg D, McCulloch CA, α11 integrin stimulates myofibroblast differentiation in diabetic cardiomyopathy. Cardiovasc Res 2012 96 265 275. doi: 10.1093/cvr/cvs259.
44. Duan S, Luo X, Dong C, Identification of susceptibility modules for coronary artery disease using a genome wide integrated network analysis. Gene 2013 531 347 354. doi: 10.1016/j.gene.2013.08.059.
45. Chang L, Kiriazis H, Gao XM, Du XJ, El-Osta A, Cardiac genes show contextual SWI/SNF interactions with distinguishable gene activities. Epigenetics 2011 6 760 768
46. Dauvillier S, Ott MO, Renard JP, Legouy E, BRM (SNF2alpha) expression is concomitant to the onset of vasculogenesis in early mouse postimplantation development. Mech Dev 2001 101 221 225
47. Kim OY, Lee SM, Chung JH, Do HJ, Moon J, Shin MJ, Arginase I and the very low-density lipoprotein receptor are associated with phenotypic biomarkers for obesity. Nutrition 2012 28 635 639. doi: 10.1016/j.nut.2011.09.012.
48. Perman JC, Boström P, Lindbom M, Lidberg U, StÅhlman M, Hägg D, The VLDL receptor promotes lipotoxicity and increases mortality in mice following an acute myocardial infarction. J Clin Invest 2011 121 2625 2640. doi: 10.1172/JCI43068.
49. Urban D, Pöss J, Böhm M, Laufs U, Targeting the proprotein convertase subtilisin/kexin type 9 for the treatment of dyslipidemia and atherosclerosis. J Am Coll Cardiol 2013 62 1401 1408. doi: 10.1016/j.jacc.2013.07.056.
50. Asselbergs FW, Guo Y, van Iperen EP, Sivapalaratnam S, Tragante V, Lanktree MB, LifeLines Cohort Study Large-scale gene-centric meta-Analysis across 32 studies identifies multiple lipid loci. Am J Hum Genet 2012 91 823 838. doi: 10.1016/j.ajhg.2012.08.032.
51. Debette S, Visvikis-Siest S, Chen MH, Ndiaye NC, Song C, Destefano A, Identification of cis- And trans-Acting genetic variants explaining up to half the variation in circulating vascular endothelial growth factor levels. Circ Res 2011 109 554 563. doi: 10.1161/CIRCRESAHA.111.243790.
52. Yen CH, Lau YT, Vascular responses in male and female hypertensive rats with hyperhomocysteinemia. Hypertension 2002 40 322 328
53. Zee RY, Ridker PM, Chasman DI, Genetic variants in eleven telomere-Associated genes and the risk of incident cardio/cerebrovascular disease: The Women's Genome Health Study. Clin Chim Acta 2011 412 199 202. doi: 10.1016/j.cca.2010.10.003.
54. Ghanbari M, de Vries PS, de Looper H, Peters MJ, Schurmann C, Yaghootkar H, A genetic variant in the seed region of miR-4513 shows pleiotropic effects on lipid and glucose homeostasis, blood pressure, and coronary artery disease. Hum Mutat 2014 35 1524 1531. doi: 10.1002/humu.22706.
55. Raman A, Lustig RH, Fitch M, Fleming SE, Accuracy of self-Assessed Tanner staging against hormonal assessment of sexual maturation in overweight African-American children. J Pediatr Endocrinol Metab 2009 22 609 622
56. Oikonen M, Tikkanen E, Juhola J, Tuovinen T, Seppälä I, Juonala M, Genetic variants and blood pressure in a population-based cohort: the Cardiovascular Risk in Young Finns study. Hypertension 2011 58 1079 1085. doi: 10.1161/HYPERTENSIONAHA.111.179291.
57. Wang X, Ding X, Su S, Yan W, Harshfield G, Treiber F, Genetic influences on daytime and night-Time blood pressure: similarities and differences. J Hypertens 2009 27 2358 2364. doi: 10.1097/HJH.0b013e328330e84d.