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Meta-analysis of genome-wide association studies identifies common variants associated with blood pressure variation in east Asians
Open accessAbstract
We conducted a meta-analysis of genome-wide association studies of systolic (SBP) and diastolic (DBP) blood pressure in 19,608 subjects of east Asian ancestry from the AGEN-BP consortium followed up with de novo genotyping (n = 10,518) and further replication (n = 20,247) in east Asian samples. We identified genome-wide significant (P < 5 × 10−8) associations with SBP or DBP, which included variants at four new loci (ST7L-CAPZA1, FIGN-GRB14, ENPEP and NPR3) and a newly discovered variant near TBX3. Among the five newly discovered variants, we obtained significant replication in the independent samples for all of these loci except NPR3. We also confirmed seven loci previously identified in populations of European descent. Moreover, at 12q24.13 near ALDH2, we observed strong association signals (P = 7.9 × 10−31 and P = 1.3 × 10−35 for SBP and DBP, respectively) with ethnic specificity. These findings provide new insights into blood pressure regulation and potential targets for intervention.
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Cites
Measuring inconsistency in meta-analyses
Higgins, J. P. T., Thompson, S. G., Deeks, J. J., & Altman, D. G. (2003) · BMJ · doi:10.1136/bmj.327.7414.557 · Cited by 63,139
Global burden of hypertension: analysis of worldwide data
Kearney, P. M., Whelton, M., Reynolds, K., Muntner, P., Whelton, P. K., & He, J. (2005) · The Lancet · doi:10.1016/s0140-6736(05)17741-1 · Cited by 8,594
Self-citationLopez, A. D., Mathers, C. D., Ezzati, M., Jamison, D. T., & Murray, C. J. (2006) · The Lancet · doi:10.1016/s0140-6736(06)68770-9 · Cited by 5,630
Selected major risk factors and global and regional burden of disease
Ezzati, M., Lopez, A. D., Rodgers, A., Vander Hoorn, S., & Murray, C. J. (2002) · The Lancet · doi:10.1016/s0140-6736(02)11403-6 · Cited by 3,594
Genomic Control for Association Studies
Devlin, B., & Roeder, K. (1999) · Biometrics · doi:10.1111/j.0006-341x.1999.00997.x · Cited by 3,162
Effects of torcetrapib in patients at high risk for coronary events
Barter, P. J., Caulfield, M., Eriksson, M., Grundy, S. M., Kastelein, J. J. P., Komajda, M., Lopez-Sendon, J., Mosca, L., Tardif, J.-C., Waters, D. D., et al. (2007) · New England Journal of Medicine · doi:10.1056/nejmoa0706628 · Cited by 3,139
A Map of Recent Positive Selection in the Human Genome
Voight, B. F., Kudaravalli, S., Wen, X., & Pritchard, J. K. (2006) · PLoS Biology · doi:10.1371/journal.pbio.0040072 · Cited by 2,893
A new multipoint method for genome-wide association studies by imputation of genotypes
Marchini, J., Howie, B., Myers, S., McVean, G., & Donnelly, P. (2007) · Nature Genetics · doi:10.1038/ng2088 · Cited by 2,609
Global burden of blood-pressure-related disease, 2001
Lawes, C. M., Hoorn, S. V., & Rodgers, A. (2008) · The Lancet · doi:10.1016/s0140-6736(08)60655-8 · Cited by 2,330
Genome-wide detection and characterization of positive selection in human populations
The International HapMap Consortium, Sabeti, P. C., Varilly, P., Fry, B., Lohmueller, J., Hostetter, E., Cotsapas, C., Xie, X., Byrne, E. H., McCarroll, S. A., et al. (2007) · Nature · doi:10.1038/nature06250 · Cited by 2,131
MaCH: using sequence and genotype data to estimate haplotypes and unobserved genotypes
Li, Y., Willer, C. J., Ding, J., Scheet, P., & Abecasis, G. R. (2010) · Genetic Epidemiology · doi:10.1002/gepi.20533 · Cited by 1,843
Browning, B. L., & Browning, S. R. (2009) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2009.01.005 · Cited by 1,640
Genome-wide association study of blood pressure and hypertension
Levy, D., Ehret, G. B., Rice, K., Verwoert, G. C., Launer, L. J., Dehghan, A., Glazer, N. L., Morrison, A. C., Johnson, A. D., Aspelund, T., et al. (2009) · Nature Genetics · doi:10.1038/ng.384 · Cited by 1,364
SNAP: a web-based tool for identification and annotation of proxy SNPs using HapMap
Johnson, A. D., Handsaker, R. E., Pulit, S. L., Nizzari, M. M., O'Donnell, C. J., & de Bakker, P. I. W. (2008) · Bioinformatics · doi:10.1093/bioinformatics/btn564 · Cited by 1,330
Genome-wide association study identifies eight loci associated with blood pressure
Wellcome Trust Case Control Consortium, Newton-Cheh, C., Johnson, T., Gateva, V., Tobin, M. D., Bochud, M., Coin, L., Najjar, S. S., Zhao, J. H., Heath, S. C., et al. (2009) · Nature Genetics · doi:10.1038/ng.361 · Cited by 1,215
Population genomics of human gene expression
Stranger, B. E., Nica, A. C., Forrest, M. S., Dimas, A., Bird, C. P., Beazley, C., Ingle, C. E., Dunning, M., Flicek, P., Koller, D., et al. (2007) · Nature Genetics · doi:10.1038/ng2142 · Cited by 1,157
A genome-wide association study of global gene expression
Dixon, A. L., Liang, L., Moffatt, M. F., Chen, W., Heath, S., Wong, K. C. C., Taylor, J., Burnett, E., Gut, I., Farrall, M., et al. (2007) · Nature Genetics · doi:10.1038/ng2109 · Cited by 953
MAGIC, Heid, I. M., Jackson, A. U., Randall, J. C., Winkler, T. W., Qi, L., Steinthorsdottir, V., Thorleifsson, G., Zillikens, M. C., Speliotes, E. K., et al. (2010) · Nature Genetics · doi:10.1038/ng.685 · Cited by 931
Signals of recent positive selection in a worldwide sample of human populations
Pickrell, J. K., Coop, G., Novembre, J., Kudaravalli, S., Li, J. Z., Absher, D., Srinivasan, B. S., Barsh, G. S., Myers, R. M., Feldman, M. W., et al. (2009) · Genome Research · doi:10.1101/gr.087577.108 · Cited by 717
Soranzo, N., Spector, T. D., Mangino, M., Kühnel, B., Rendon, A., Teumer, A., Willenborg, C., Wright, B., Chen, L., Li, M., et al. (2009) · Nature Genetics · doi:10.1038/ng.467 · Cited by 523
Blood pressure, cholesterol, and stroke in eastern Asia
(1998) · The Lancet · doi:10.1016/s0140-6736(98)03454-0 · Cited by 512
Brooks, P. J., Enoch, M.-A., Goldman, D., Li, T.-K., & Yokoyama, A. (2009) · PLoS Medicine · doi:10.1371/journal.pmed.1000050 · Cited by 480
Overcoming the Winner’s Curse: Estimating Penetrance Parameters from Case-Control Data
Zöllner, S., & Pritchard, J. K. (2007) · The American Journal of Human Genetics · doi:10.1086/512821 · Cited by 382
Chen, L., Davey Smith, G., Harbord, R. M., & Lewis, S. J. (2008) · PLoS Medicine · doi:10.1371/journal.pmed.0050052 · Cited by 314
The genetic dissection of essential hypertension
Cowley, A. W. (2006) · Nature Reviews Genetics · doi:10.1038/nrg1967 · Cited by 290
Refined Geographic Distribution of the Oriental ALDH2*504Lys (nee 487Lys) Variant
Li, H., Borinskaya, S., Yoshimura, K., Kal’ina, N., Marusin, A., Stepanov, V. A., Qin, Z., Khaliq, S., Lee, M., Yang, Y., et al. (2009) · Annals of Human Genetics · doi:10.1111/j.1469-1809.2009.00517.x · Cited by 285
Antihypertensive Treatments Obscure Familial Contributions to Blood Pressure Variation
Cui, J. S., Hopper, J. L., & Harrap, S. B. (2003) · Hypertension · doi:10.1161/01.hyp.0000044938.94050.e3 · Cited by 269
Natriuretic peptide receptor-C signaling and regulation
Anand-Srivastava, M. B. (2005) · Peptides · doi:10.1016/j.peptides.2004.09.023 · Cited by 265
Premature deaths attributable to blood pressure in China: a prospective cohort study
He, J., Gu, D., Chen, J., Wu, X., Kelly, T. N., Huang, J.-F., Chen, J.-C., Chen, C.-S., Bazzano, L. A., Reynolds, K., et al. (2009) · The Lancet · doi:10.1016/s0140-6736(09)61199-5 · Cited by 250
Self-citationHarada, S., Misawa, S., Agarwal, D. P., & Hw, G. (1980) · Europe PMC (PubMed Central) · Cited by 237
Blood Pressure and Hypertension Are Associated With 7 Loci in the Japanese Population
Takeuchi, F., Isono, M., Katsuya, T., Yamamoto, K., Yokota, M., Sugiyama, T., Nabika, T., Fujioka, A., Ohnaka, K., Asano, H., et al. (2010) · Circulation · doi:10.1161/circulationaha.109.904664 · Cited by 191
Self-citationWGAViewer: Software for genomic annotation of whole genome association studies: Figure 1.Preprint
Ge, D., Zhang, K., Need, A. C., Martin, O., Fellay, J., Urban, T. J., Telenti, A., & Goldstein, D. B. (2008) · Genome Research · doi:10.1101/gr.071571.107 · Cited by 155
Takeuchi, F., Isono, M., Nabika, T., Katsuya, T., Sugiyama, T., Yamaguchi, S., Kobayashi, S., Ogihara, T., Yamori, Y., Fujioka, A., et al. (2011) · Circulation Journal · doi:10.1253/circj.cj-10-0774 · Cited by 146
Self-citationThe mouse fidgetin gene defines a new role for AAA family proteins in mammalian development
Cox, G. A., Mahaffey, C. L., Nystuen, A., Letts, V. A., & Frankel, W. N. (2000) · Nature Genetics · doi:10.1038/79923 · Cited by 115
Common Variants in the ATP2B1 Gene Are Associated With Susceptibility to Hypertension
Tabara, Y., Kohara, K., Kita, Y., Hirawa, N., Katsuya, T., Ohkubo, T., Hiura, Y., Tajima, A., Morisaki, T., Miyata, T., et al. (2010) · Hypertension · doi:10.1161/hypertensionaha.110.153429 · Cited by 106
Self-citationHong, K., Jin, H., Lim, J., Kim, S., Go, M. J., & Oh, B. (2010) · Journal of Human Genetics · doi:10.1038/jhg.2010.31 · Cited by 81
Self-citationvarLD: a program for quantifying variation in linkage disequilibrium patterns between populations
Ong, R. T., & Teo, Y. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq125 · Cited by 59
Self-citationTsuchihashi‐Makaya, M., Serizawa, M., Yanai, K., Katsuya, T., Takeuchi, F., Fujioka, A., Yamori, Y., Ogihara, T., & Kato, N. (2009) · Hypertension Research · doi:10.1038/hr.2009.3 · Cited by 46
Self-citationNew insights into the importance of aminopeptidase A in hypertension
Mizutani, S., Ishii, M., Hattori, A., Nomura, S., Numaguchi, Y., Tsujimoto, M., Kobayshi, H., Murohara, T., & Wright, J. W. (2007) · Heart Failure Reviews · doi:10.1007/s10741-007-9065-7 · Cited by 44
Genome-Wide Association Studies Will Unlock the Genetic Basis of Hypertension
Kurtz, T. W. (2010) · Hypertension · doi:10.1161/hypertensionaha.110.156190 · Cited by 33
Molecular Determinants of Grb14-Mediated Inhibition of Insulin Signaling
Goenaga, D., Hampe, C., Carré, N., Cailliau, K., Browaeys‐Poly, E., Perdereau, D., Holt, L. J., Daly, R. J., Girard, J. R., Broutin, I., et al. (2009) · Molecular Endocrinology · doi:10.1210/me.2008-0360 · Cited by 33
Dominiczak, A. F., & Munroe, P. B. (2010) · Hypertension · doi:10.1161/hypertensionaha.110.156208 · Cited by 18
Cited by
Genetic variants in novel pathways influence blood pressure and cardiovascular disease risk
The International Consortium for Blood Pressure Genome-Wide Association Studies (2011) · Nature · doi:10.1038/nature10405 · Cited by 2,033
Genome-wide association study identifies five new schizophrenia loci
The Schizophrenia Psychiatric Genome-Wide Association Study (GWAS) Consortium (2011) · Nature Genetics · doi:10.1038/ng.940 · Cited by 1,919
Gut microbiota dysbiosis contributes to the development of hypertension
Li, J., Zhao, F., Wang, Y., Chen, J., Tao, J., Tian, G., Wu, S., Liu, W., Cui, Q., Geng, B., et al. (2017) · Microbiome · doi:10.1186/s40168-016-0222-x · Cited by 1,685
Carey, R. M., Calhoun, D. A., Bakris, G. L., Brook, R. D., Daugherty, S. L., Dennison-Himmelfarb, C. R., Egan, B. M., Flack, J. M., Gidding, S. S., Judd, E., et al. (2018) · Hypertension · doi:10.1161/hyp.0000000000000084 · Cited by 1,153
Cohort Profile: The Korean Genome and Epidemiology Study (KoGES) Consortium
Kim, Y., Han, B.-G., & the KoGES group (2017) · International Journal of Epidemiology · doi:10.1093/ije/dyv316 · Cited by 1,017
Self-citation
Metadata
- Authors
- Kato, N., Takeuchi, F., Tabara, Y., Kelly, T. N., Go, M. J., Sim, X., Tay, W. T., Chen, C.-H., Zhang, Y., Yamamoto, K., Katsuya, T., Yokota, M., Kim, Y. J., Ong, R. T. H., Nabika, T., Gu, D., Chang, L.-C., Kokubo, Y., Huang, W., Ohnaka, K., Yamori, Y., Nakashima, E., Jaquish, C. E., Lee, J.-Y., Seielstad, M., Isono, M., Hixson, J. E., Chen, Y.-T., Miki, T., Zhou, X., Sugiyama, T., Jeon, J.-P., Liu, J. J., Takayanagi, R., Kim, S. S., Aung, T., Sung, Y. J., Zhang, X., Wong, T. Y., Han, B.-G., Kobayashi, S., Ogihara, T., Zhu, D., Iwai, N., Wu, J.-Y., Teo, Y. Y., Tai, E. S., Cho, Y. S., & He, J.
- Venue
- Nature Genetics
- Published
- 2011-05-15
- Volume
- 43
- Issue
- 6
- Pages
- 531-538
- ISSN
- 1061-4036 (ISSN-L)
- 1546-1718
- OpenAlex
- W2044707173
- Cited by
- 566
- References
- 43
- FWCI
- 4.80
- Type
- journal article
- Language
- en
- Open access
- green
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