A Large-Scale Multi-ancestry Genome-wide Study Accounting for Smoking Behavior Identifies Multiple Significant Loci for Blood Pressure
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Citações na Scopus
89
Tipo de produção
article
Data de publicação
2018
Título da Revista
ISSN da Revista
Título do Volume
Editora
CELL PRESS
Autores
SUNG, Yun J.
WINKLER, Thomas W.
FUENTES, Lisa de las
BENTLEY, Amy R.
BROWN, Michael R.
KRAJA, Aldi T.
SCHWANDER, Karen
NTALLA, Ioanna
GUO, Xiuqing
FRANCESCHINI, Nora
Citação
AMERICAN JOURNAL OF HUMAN GENETICS, v.102, n.3, p.375-400, 2018
Resumo
Genome-wide association analysis advanced understanding of blood pressure (BP), a major risk factor for vascular conditions such as coronary heart disease and stroke. Accounting for smoking behavior may help identify BP loci and extend our knowledge of its genetic architecture. We performed genome-wide association meta-analyses of systolic and diastolic BP incorporating gene-smoking interactions in 610,091 individuals. Stage 1 analysis examined similar to 18.8 million SNPs and small insertion/deletion variants in 129,913 individuals from four ancestries (European, African, Asian, and Hispanic) with follow-up analysis of promising variants in 480,178 additional individuals from five ancestries. We identified 15 loci that were genome-wide significant (p < 5 x 10(-8)) in stage 1 and formally replicated in stage 2. A combined stage 1 and 2 meta-analysis identified 66 additional genome-wide significant loci (13, 35, and 18 loci in European, African, and trans-ancestry, respectively). A total of 56 known BP loci were also identified by our results (p < 5 x 10(-8)). Of the newly identified loci, ten showed significant interaction with smoking status, but none of them were replicated in stage 2. Several loci were identified in African ancestry, highlighting the importance of genetic studies in diverse populations. The identified loci show strong evidence for regulatory features and support shared pathophysiology with cardiometabolic and addiction traits. They also highlight a role in BP regulation for biological candidates such as modulators of vascular structure and function (CDKN1B, BCAR1-CFDP1, PXDN, EEA1), ciliopathies (SDCCAG8, RPGRIP1L), telomere maintenance (TNKS, PINX1, AKTIP), and central dopaminergic signaling MSRA, EBF2).
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Referências
- Altshuler DM, 2012, NATURE, V491, P56, DOI 10.1038/nature11632
- Ambatipudi S, 2016, EPIGENOMICS-UK, V8, P599, DOI 10.2217/epi-2016-0001
- Ardlie KG, 2015, SCIENCE, V348, P648, DOI 10.1126/science.1262110
- Aschard H, 2010, HUM HERED, V70, P292, DOI 10.1159/000323318
- Aulchenko YS, 2010, BMC BIOINFORMATICS, V11, DOI 10.1186/1471-2105-11-134
- BENJAMINI Y, 1995, J ROY STAT SOC B MET, V57, P289
- Bierut LJ, 2007, HUM MOL GENET, V16, P24, DOI 10.1093/hmg/ddl441
- Bis JC, 2011, NAT GENET, V43, P940, DOI 10.1038/ng.920
- Boardman-Pretty F, 2015, CIRC-CARDIOVASC GENE, V8, P696, DOI 10.1161/CIRCGENETICS.115.001062
- Boone M, 2008, PFLUG ARCH EUR J PHY, V456, P1005, DOI 10.1007/s00424-008-0498-1
- Boyle AP, 2012, GENOME RES, V22, P1790, DOI 10.1101/gr.137323.112
- Butt HZ, 2010, EUR J VASC ENDOVASC, V40, P17, DOI 10.1016/j.ejvs.2010.04.012
- Claussnitzer M, 2015, NEW ENGL J MED, V373, P895, DOI 10.1056/NEJMoa1502214
- CROFT JB, 1990, AM J MED GENET, V36, P37, DOI 10.1002/ajmg.1320360109
- Davydov EV, 2010, PLOS COMPUT BIOL, V6, DOI 10.1371/journal.pcbi.1001025
- Del Greco FM, 2011, HUM MOL GENET, V20, P1660, DOI 10.1093/hmg/ddr035
- Devlin B, 1999, BIOMETRICS, V55, P997, DOI 10.1111/j.0006-341X.1999.00997.x
- Edwards AC, 2012, PSYCHIAT GENET, V22, P31, DOI 10.1097/YPG.0b013e32834acd07
- Ehret GB, 2016, NAT GENET, V48, P1171, DOI 10.1038/ng.3667
- Ehret GB, 2011, NATURE, V478, P103, DOI 10.1038/nature10405
- Febbo PG, 2007, BMC GENOMICS, V8, DOI 10.1186/1471-2164-8-461
- Franceschini N, 2013, AM J HUM GENET, V93, P545, DOI 10.1016/j.ajhg.2013.07.010
- Frayling TM, 2007, SCIENCE, V316, P889, DOI 10.1126/science.1141634
- Ganesh SK, 2013, HUM MOL GENET, V22, P1663, DOI 10.1093/hmg/dds555
- Garber M, 2009, BIOINFORMATICS, V25, pI54, DOI 10.1093/bioinformatics/btp190
- Gertow K, 2012, CIRC-CARDIOVASC GENE, V5, P656, DOI 10.1161/CIRCGENETICS.112.963660
- Go AS, 2014, CIRCULATION, V129, pE28, DOI 10.1161/01.cir.0000441139.02102.80
- GREEN MS, 1986, AM HEART J, V111, P932, DOI 10.1016/0002-8703(86)90645-9
- Guo HL, 2012, CELL RES, V22, P1246, DOI 10.1038/cr.2012.52
- Hemerich D, 2015, ATHEROSCLEROSIS, V243, P466, DOI 10.1016/j.atherosclerosis.2015.10.017
- Hoffmann TJ, 2017, NAT GENET, V49, P54, DOI 10.1038/ng.3715
- Hunter DJ, 2005, NAT REV GENET, V6, P287, DOI 10.1038/nrg1578
- Husson H, 2016, HUM MOL GENET, V25, P2245, DOI 10.1093/hmg/ddw093
- IMBS JL, 1975, EUR J PHARMACOL, V33, P151, DOI 10.1016/0014-2999(75)90150-8
- Joehanes R, 2017, GENOME BIOL, V18, DOI 10.1186/s13059-016-1142-6
- Johnson T, 2011, AM J HUM GENET, V89, P688, DOI 10.1016/j.ajhg.2011.10.013
- Justice AE, 2017, NAT COMMUN, V8, DOI 10.1038/ncomms14977
- Kathiresan S, 2009, NAT GENET, V41, P56, DOI 10.1038/ng.291
- Kawaguchi T, 2010, BIOCHEM BIOPH RES CO, V391, P1336, DOI 10.1016/j.bbrc.2009.12.045
- Keller MC, 2014, BIOL PSYCHIAT, V75, P18, DOI 10.1016/j.biopsych.2013.09.006
- Koshimizu T, 2006, P NATL ACAD SCI USA, V103, P7807, DOI 10.1073/pnas.0600875103
- Levran O, 2015, PHARMACOGENOMICS, V16, P1329, DOI [10.2217/PGS.15.86, 10.2217/pgs.15.86]
- Levy D, 2009, NAT GENET, V41, P677, DOI 10.1038/ng.384
- Lewington S, 2002, LANCET, V360, P1903
- Li XX, 2001, HYPERTENSION, V38, P303, DOI 10.1161/01.HYP.38.3.303
- Liang JJ, 2017, PLOS GENET, V13, DOI 10.1371/journal.pgen.1006728
- Liew CW, 2013, NAT MED, V19, P217, DOI 10.1038/nm.3056
- Liu CY, 2016, NAT GENET, V48, P1162, DOI 10.1038/ng.3660
- MANN SJ, 1991, JAMA-J AM MED ASSOC, V265, P2226, DOI 10.1001/jama.265.17.2226
- Manning AK, 2012, NAT GENET, V44, P659, DOI 10.1038/ng.2274
- Manning AK, 2011, GENET EPIDEMIOL, V35, P11, DOI 10.1002/gepi.20546
- Manolio TA, 2009, NATURE, V461, P747, DOI 10.1038/nature08494
- Marchini J, 2010, NAT REV GENET, V11, P499, DOI 10.1038/nrg2796
- Marples D, 1998, AM J PHYSIOL-RENAL, V274, pF384, DOI 10.1152/ajprenal.1998.274.2.F384
- Nelson CP, 2017, NAT GENET, V49, P1385, DOI 10.1038/ng.3913
- Newton-Cheh C, 2009, NAT GENET, V41, P666, DOI 10.1038/ng.361
- Nutt DJ, 2015, NAT REV NEUROSCI, V16, P305, DOI 10.1038/nrn3939
- Pelsers MMAL, 2005, CLIN CHIM ACTA, V352, P15, DOI 10.1016/j.cccn.2004.09.001
- Pers TH, 2015, NAT COMMUN, V6, DOI 10.1038/ncomms6890
- Pickrell JK, 2010, NATURE, V464, P768, DOI 10.1038/nature08872
- Primatesta P, 2001, HYPERTENSION, V37, P187, DOI 10.1161/01.HYP.37.2.187
- Purcell S, 2007, AM J HUM GENET, V81, P559, DOI 10.1086/519795
- Randall JC, 2013, PLOS GENET, V9, DOI 10.1371/journal.pgen.1003500
- Rao DC, 2017, CIRC-CARDIOVASC GENE, V10, DOI 10.1161/CIRCGENETICS.116.001649
- Reilly D, 2013, PLOS ONE, V8, DOI 10.1371/journal.pone.0085369
- Saccone NL, 2010, GENES BRAIN BEHAV, V9, P741, DOI 10.1111/j.1601-183X.2010.00608.x
- Sakata M, 2002, BRAIN RES, V928, P194, DOI 10.1016/S0006-8993(01)03402-3
- Schueler M, 2016, J MED GENET, V53, P208, DOI 10.1136/jmedgenet-2015-103304
- Setsuta K, 2014, INT J CARDIOL, V176, P1323, DOI 10.1016/j.ijcard.2014.07.150
- Shi G, 2017, PLOS ONE, V12, DOI 10.1371/journal.pone.0171446
- Simms RJ, 2011, INT J NEPHROL, DOI 10.4061/2011/527137
- Singh R, 2013, HUM MUTAT, V34, P1221, DOI 10.1002/humu.22360
- Skol AD, 2006, NAT GENET, V38, P209, DOI 10.1038/ng1706
- Speliotes EK, 2011, PLOS GENET, V7, DOI 10.1371/journal.pgen.1001324
- Stoynev N, 2014, J CARDIOVASC MED, V15, P702, DOI 10.2459/JCM.0b013e32835dbcc8
- Stratigopoulos G, 2014, CELL METAB, V19, P767, DOI 10.1016/j.cmet.2014.04.009
- Stratigopoulos G, 2011, J BIOL CHEM, V286, P2155, DOI 10.1074/jbc.M110.188482
- Sung YJ, 2016, GENET EPIDEMIOL, V40, P404, DOI 10.1002/gepi.21978
- Surendran P, 2016, NAT GENET, V48, P1151, DOI 10.1038/ng.3654
- Swan GE, 2006, AM J MED GENET B, V141B, P354, DOI 10.1002/ajmg.b.30315
- Taylor A, 2014, J NEURAL TRANSM, V121, P105, DOI 10.1007/s00702-013-1065-2
- Tchetgen EJT, 2011, EPIDEMIOLOGY, V22, P257, DOI 10.1097/EDE.0b013e31820877c5
- Teslovich TM, 2010, NATURE, V466, P707, DOI 10.1038/nature09270
- Tomaszewski M, 2009, ARTERIOSCL THROM VAS, V29, P1316, DOI 10.1161/ATVBAHA.109.185355
- Tyrrell J, 2017, INT J EPIDEMIOL, V46, P559, DOI 10.1093/ije/dyw337
- Voorman A, 2011, PLOS ONE, V6, DOI 10.1371/journal.pone.0019416
- Ward LD, 2012, NUCLEIC ACIDS RES, V40, pD930, DOI 10.1093/nar/gkr917
- Warren HR, 2017, NAT GENET, V49, P403, DOI 10.1038/ng.3768
- Waterworth DM, 2010, ARTERIOSCL THROM VAS, V30, P2264, DOI 10.1161/ATVBAHA.109.201020
- Willer CJ, 2010, BIOINFORMATICS, V26, P2190, DOI 10.1093/bioinformatics/btq340
- Winkler TW, 2015, BIOINFORMATICS, V31, P259, DOI 10.1093/bioinformatics/btu621
- Winkler TW, 2014, NAT PROTOC, V9, P1192, DOI 10.1038/nprot.2014.071
- Winlaw DS, 2017, CIRC-CARDIOVASC GENE, V10, DOI 10.1161/CIRCGENETICS.117.001967
- Young AI, 2016, NAT COMMUN, V7, DOI 10.1038/ncomms12724
- Yu KY, 2014, BASIC RES CARDIOL, V109, DOI 10.1007/s00395-014-0416-y
- Zee RYL, 2011, CLIN CHIM ACTA, V412, P199, DOI 10.1016/j.cca.2010.10.003
- Zeileis A, 2006, J STAT SOFTW, V16
- Zhu XF, 2015, AM J HUM GENET, V96, P21, DOI 10.1016/j.ajhg.2014.11.011