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Novel genetic associations for blood pressure identified via gene-alcohol interaction in up to 570K individuals across multiple ancestries
Open accessAbstract
Heavy alcohol consumption is an established risk factor for hypertension; the mechanism by which alcohol consumption impact blood pressure (BP) regulation remains unknown. We hypothesized that a genome-wide association study accounting for gene-alcohol consumption interaction for BP might identify additional BP loci and contribute to the understanding of alcohol-related BP regulation. We conducted a large two-stage investigation incorporating joint testing of main genetic effects and single nucleotide variant (SNV)-alcohol consumption interactions. In Stage 1, genome-wide discovery meta-analyses in ≈131K individuals across several ancestry groups yielded 3,514 SNVs (245 loci) with suggestive evidence of association (P < 1.0 x 10-5). In Stage 2, these SNVs were tested for independent external replication in ≈440K individuals across multiple ancestries. We identified and replicated (at Bonferroni correction threshold) five novel BP loci (380 SNVs in 21 genes) and 49 previously reported BP loci (2,159 SNVs in 109 genes) in European ancestry, and in multi-ancestry meta-analyses (P < 5.0 x 10-8). For African ancestry samples, we detected 18 potentially novel BP loci (P < 5.0 x 10-8) in Stage 1 that warrant further replication. Additionally, correlated meta-analysis identified eight novel BP loci (11 genes). Several genes in these loci (e.g., PINX1, GATA4, BLK, FTO and GABBR2) have been previously reported to be associated with alcohol consumption. These findings provide insights into the role of alcohol consumption in the genetic architecture of hypertension.
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Cites
Heart Disease and Stroke Statistics—2016 Update: A Report From the American Heart Association
Mozaffarian, D., Benjamin, E. J., Go, A. S., Arnett, D. K., Blaha, M. J., Cushman, M., Das, S. R., de Ferranti, S., Després, J.-P., Fullerton, H. J., et al. (2016) · Circulation · doi:10.1161/cir.0000000000000350 · Cited by 6,596
Genetic studies of body mass index yield new insights for obesity biology
Study, T. L. C., Locke, A. E., The ADIPOGen Consortium, The AGEN-BMI Working Group, The CARDIOGRAMplusC4D Consortium, The CKDGen Consortium, The, G. L. G. C., The, I. C. B. P., The MAGIC Investigators, The MuTHER Consortium, et al. (2015) · Nature · doi:10.1038/nature14177 · Cited by 4,534
Self-citationMapping and analysis of chromatin state dynamics in nine human cell types
Ernst, J., Kheradpour, P., Mikkelsen, T. S., Shoresh, N., Ward, L. D., Epstein, C. B., Zhang, X., Wang, L., Issner, R., Coyne, M., et al. (2011) · Nature · doi:10.1038/nature09906 · Cited by 2,898
O'Donnell, M. J., Chin, S. L., Rangarajan, S., Xavier, D., Liu, L., Zhang, H., Rao-Melacini, P., Zhang, X., Pais, P., Agapay, S., et al. (2016) · The Lancet · doi:10.1016/s0140-6736(16)30506-2 · Cited by 2,296
Transcriptome and genome sequencing uncovers functional variation in humans
The Geuvadis Consortium, Lappalainen, T., Sammeth, M., Friedländer, M. R., ‘t Hoen, P. A. C., Monlong, J., Rivas, M. A., Gonzàlez-Porta, M., Kurbatova, N., Griebel, T., et al. (2013) · Nature · doi:10.1038/nature12531 · Cited by 1,888
GenABEL: an R library for genome-wide association analysis
Aulchenko, Y. S., Ripke, S., Isaacs, A., & van Duijn, C. M. (2007) · Bioinformatics · doi:10.1093/bioinformatics/btm108 · Cited by 1,836
Exploiting Gene-Environment Interaction to Detect Genetic Associations
Kraft, P., Yen, Y.-C., Stram, D. O., Morrison, J., & Gauderman, W. J. (2007) · Human Heredity · doi:10.1159/000099183 · Cited by 439
Potential U.S. Population Impact of the 2017 ACC/AHA High Blood Pressure Guideline
Muntner, P., Carey, R. M., Gidding, S., Jones, D. W., Taler, S. J., Wright, J. T., & Whelton, P. K. (2018) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2017.10.073 · Cited by 339
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El-Sappagh, S., Alonso, J. M., Islam, S. M. R., Sultan, A. M., & Kwak, K. S. (2021) · Scientific Reports · doi:10.1038/s41598-021-82098-3 · Cited by 363
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Metadata
- Authors
- Feitosa, M. F., Kraja, A. T., Chasman, D. I., Sung, Y. J., Winkler, T. W., Ntalla, I., Guo, X., Franceschini, N., Cheng, C.-Y., Sim, X., Vojinovic, D., Marten, J., Musani, S. K., Li, C., Bentley, A. R., Brown, M. R., Schwander, K., Richard, M. A., Noordam, R., Aschard, H., Bartz, T. M., Bielak, L. F., Dorajoo, R., Fisher, V., Hartwig, F. P., Horimoto, A. R. V. R., Lohman, K. K., Manning, A. K., Rankinen, T., Smith, A. V., Tajuddin, S. M., Wojczynski, M. K., Alver, M., Boissel, M., Cai, Q., Campbell, A., Chai, J. F., Chen, X., Divers, J., Gao, C., Goel, A., Hagemeijer, Y., Harris, S. E., He, M., Hsu, F.-C., Jackson, A. U., Kähönen, M., Kasturiratne, A., Komulainen, P., Kühnel, B., Laguzzi, F., Luan, J., Matoba, N., Nolte, I. M., Padmanabhan, S., Riaz, M., Rueedi, R., Robino, A., Said, M. A., Scott, R. A., Sofer, T., Stančáková, A., Takeuchi, F., Tayo, B. O., van der Most, P. J., Varga, T. V., Vitart, V., Wang, Y., Ware, E. B., Warren, H. R., Weiss, S., Wen, W., Yanek, L. R., Zhang, W., Zhao, J. H., Afaq, S., Amin, N., Amini, M., Arking, D. E., Aung, T., Boerwinkle, E., Borecki, I., Broeckel, U., Brown, M., Brumat, M., Burke, G. L., Canouil, M., Chakravarti, A., Charumathi, S., Ida Chen, Y.-D., Connell, J. M., Correa, A., de las Fuentes, L., de Mutsert, R., de Silva, H. J., Deng, X., Ding, J., Duan, Q., Eaton, C. B., Ehret, G., Eppinga, R. N., Evangelou, E., Faul, J. D., Felix, S. B., Forouhi, N. G., Forrester, T., Franco, O. H., Friedlander, Y., Gandin, I., Gao, H., Ghanbari, M., Gigante, B., Gu, C. C., Gu, D., Hagenaars, S. P., Hallmans, G., Harris, T. B., He, J., Heikkinen, S., Heng, C.-K., Hirata, M., Howard, B. V., Ikram, M. A., InterAct Consortium, John, U., Katsuya, T., Khor, C. C., Kilpeläinen, T. O., Koh, W.-P., Krieger, J. E., Kritchevsky, S. B., Kubo, M., Kuusisto, J., Lakka, T. A., Langefeld, C. D., Langenberg, C., Launer, L. J., Lehne, B., Lewis, C. E., Li, Y., Lin, S., Liu, J., Liu, J., Loh, M., Louie, T., Mägi, R., McKenzie, C. A., Meitinger, T., Metspalu, A., Milaneschi, Y., Milani, L., Mohlke, K. L., Momozawa, Y., Nalls, M. A., Nelson, C. P., Sotoodehnia, N., Norris, J. M., O'Connell, J. R., Palmer, N. D., Perls, T., Pedersen, N. L., Peters, A., Peyser, P. A., Poulter, N., Raffel, L. J., Raitakari, O. T., Roll, K., Rose, L. M., Rosendaal, F. R., Rotter, J. I., Schmidt, C. O., Schreiner, P. J., Schupf, N., Scott, W. R., Sever, P. S., Shi, Y., Sidney, S., Sims, M., Sitlani, C. M., Smith, J. A., Snieder, H., Starr, J. M., Strauch, K., Stringham, H. M., Tan, N. Y. Q., Tang, H., Taylor, K. D., Teo, Y. Y., Tham, Y. C., Turner, S. T., Uitterlinden, A. G., Vollenweider, P., Waldenberger, M., Wang, L., Wang, Y. X., Wei, W. B., Williams, C., Yao, J., Yu, C., Yuan, J.-M., Zhao, W., Zonderman, A. B., Becker, D. M., Boehnke, M., Bowden, D. W., Chambers, J. C., Deary, I. J., Esko, T., Farrall, M., Franks, P. W., Freedman, B. I., Froguel, P., Gasparini, P., Gieger, C., Jonas, J. B., Kamatani, Y., Kato, N., Kooner, J. S., Kutalik, Z., Laakso, M., Laurie, C. C., Leander, K., Lehtimäki, T., Study, L. C., Magnusson, P. K. E., Oldehinkel, A. J., Penninx, B. W. J. H., Polasek, O., Porteous, D. J., Rauramaa, R., Samani, N. J., Scott, J., Shu, X.-O., van der Harst, P., Wagenknecht, L. E., Wareham, N. J., Watkins, H., Weir, D. R., Wickremasinghe, A. R., Wu, T., Zheng, W., Bouchard, C., Christensen, K., Evans, M. K., Gudnason, V., Horta, B. L., Kardia, S. L. R., Liu, Y., Pereira, A. C., Psaty, B. M., Ridker, P. M., van Dam, R. M., Gauderman, W. J., Zhu, X., Mook-Kanamori, D. O., Fornage, M., Rotimi, C. N., Cupples, L. A., Kelly, T. N., Fox, E. R., Hayward, C., van Duijn, C. M., Tai, E. S., Wong, T. Y., Kooperberg, C., Palmas, W., Rice, K., Morrison, A. C., Elliott, P., Caulfield, M. J., Munroe, P. B., Rao, D. C., Province, M. A., & Levy, D.
- Venue
- PLOS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2018-06-18
- Volume
- 13
- Issue
- 6
- Pages
- e0198166
- ISSN
- 1932-6203 (ISSN-L)
- OpenAlex
- W2808973857
- Cited by
- 1,165
- References
- 8
- FWCI
- 152.97
- Type
- journal article
- Language
- en
- Open access
- gold
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- Feitosa, M. F., Kraja, A. T., Chasman, D. I., Sung, Y. J., Winkler, T. W., Ntalla, I., Guo, X., Franceschini, N., Cheng, C.-Y., Sim, X., Vojinovic, D., Marten, J., Musani, S. K., Li, C., Bentley, A. R., Brown, M. R., Schwander, K., Richard, M. A., Noordam, R., . . . Levy, D. (2018). Novel genetic associations for blood pressure identified via gene-alcohol interaction in up to 570K individuals across multiple ancestries. PLOS ONE. https://doi.org/10.1371/journal.pone.0198166
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