Browsing by Author "Li, C."

Filter results by typing the first few letters
Now showing 1 - 8 of 8
  • No Thumbnail Available
    Item
    Gene-educational attainment interactions in a multi-ancestry genome-wide meta-analysis identify novel blood pressure loci
    (Stockton Press., 2021) de Las Fuentes, L.; Sung, Y. J.; Noordam, R.; Winkler, T.; Feitosa, M.F.; Schwander, K.; Bentley, A.R.; Brown, M.R.; Guo, X.; Manning, A.; Chasman, D.I.; Aschard, H.; Bartz, T. M.; Bielak, L.F.; Campbell, A.; Cheng, C.Y.; Dorajoo, R.; Hartwig, F. P.; Horimoto, A.R.V.R.; Li, C.; Li-Gao, R.; Liu, Y.; Marten, J.; Musani, S.K.; Ntalla, I.; Rankinen, T.; Richard, M.; Sim, X.; Smith, A.V.; Tajuddin, S.M.; Tayo, B.O.; Vojinovic, D.; Warren, H.R.; Xuan, D.; Alver, M.; Boissel, M.; Chai, J.F.; Chen, X.; Christensen, K.; Divers, J.; Evangelou, E.; Gao, C.; Girotto, G.; Harris, S.E.; He, M.; Hsu, F.C.; Kühnel, B.; Laguzzi, F.; Li, X.; Lyytikäinen, L. P.; Nolte, I. M.; Poveda, A.; Rauramaa, R.; Riaz, M.; Rueedi, R.; Shu, X.O.; Snieder, H.; Sofer, T.; Takeuchi, F.; Verweij, N.; Ware, E.B.; Weiss, S.; Yanek, L.R.; Amin, N.; Arking, D.E.; Arnett, D.K.; Bergmann, S.; Boerwinkle, E.; Brody, J.A.; Broeckel, U.; Brumat, M.; Burke, G.; Cabrera, C.P.; Canouil, M.; Chee, M.L.; Chen, Y. I.; Cocca, M.; Connell, J.; de Silva, H.J.; de Vries, P. S.; Eiriksdottir, G.; Faul, J.D.; Fisher, V.; Forrester, T.; Fox, E.F.; Friedlander, Y.; Gao, H.; Gigante, B.; Giulianini, F.; Gu, C.C.; Gu, D.; Harris, T. B.; He, J.; Heikkinen, S.; Heng, C. K.; Hunt, S.; Ikram, M. A.; Irvin, M.R.; Kähönen, M.; Kavousi, M.; Khor, C.C.; Kilpeläinen, T.O.; Koh, W.P.; Komulainen, P.; Kraja, A.T.; Krieger, J.E.; Langefeld, C. D.; Li, Y.; Liang, J.; Liewald, D.C.M.; Liu, C.T.; Liu, J.; Lohman, K.K.; Mägi, R.; McKenzie, C.A.; Meitinger, T.; Metspalu, A.; Milaneschi, Y.; Milani, L.; Mook-Kanamori, D.O.; Nalls, M.A.; Nelson, C.P.; Norris, J. M.; O'Connell, J.; Ogunniyi, A.; Padmanabhan, S.; Palmer, N.D.; Pedersen, N. L.; Perls, T.; Peters, A.; Petersmann, A.; Peyser, P. A.; Polasek, O.; Porteous, D. J.; Raffel, L. J.; Rice, T. K.; Rotter, J.I.; Rudan, I.; Rueda-Ochoa, O.L.; Sabanayagam, C.; Salako, B. L.; Schreiner, P.J.; Shikany, J.M.; Sidney, S.S.; Sims, M.; Sitlani, C.M.; Smith, J. A.; Starr, J. M.; Strauch, K.; Swertz, M. A.; Teumer, A.; Tham, Y. C.; Uitterlinden, A.G.; Vaidya, D.; van der Ende, M.Y.; Waldenberger, M.; Wang, L.; Wang, Y. X.; Wei, W.B.; Weir, D.R.; Wen, W.; Yao, J.; Yu, B.; Yu, C.; Yuan, J. M.; Zhao, W.; Zonderman, A.B.; Becker, D.M.; Bowden, D.W.; Deary, I. J.; Dörr, M.; Esko, T.; Freedman, B. I.; Froguel, P.; Gasparini, P.; Gieger, C.; Jonas, J.B.; Kammerer, C.M.; Kato, N.; Lakka, T. A.; Leander, K.; Lehtimäki, T.; Lifelines Cohort Study; Magnusson, P. K. E.; Marques-Vidal, P.; Penninx, B. W. J. H.; Samani, N. J.; van der Harst, P.; Wagenknecht, L. E.; Wu, T.; Zheng, W.; Zhu, X.; Bouchard, C.; Cooper, R. S.; Correa, A.; Evans, M. K.; Gudnason, V.; Hayward, C.; Horta, B. L.; Kelly, T. N.; Kritchevsky, S. B.; Levy, D.; Palmas, W. R.; Pereira, A. C.; Province, M. M.; Psaty, B. M.; Ridker, P. M.; Rotimi, C. N.; Tai, E. S.; van Dam, R. M.; van Duijn, C. M.; Wong, T. Y.; Rice, K.; Gauderman, W. J.; Morrison, A. C.; North, K. E.; Kardia, S. L. R.; Caulfield, M. J.; Elliott, P.; Munroe, P. B.; Franks, P. W.; Rao, D. C.; Fornage, M.
    ABSTRACT:Educational attainment is widely used as a surrogate for socioeconomic status (SES). Low SES is a risk factor for hypertension and high blood pressure (BP). To identify novel BP loci, we performed multi-ancestry meta-analyses accounting for gene-educational attainment interactions using two variables, "Some College" (yes/no) and "Graduated College" (yes/no). Interactions were evaluated using both a 1 degree of freedom (DF) interaction term and a 2DF joint test of genetic and interaction effects. Analyses were performed for systolic BP, diastolic BP, mean arterial pressure, and pulse pressure. We pursued genome-wide interrogation in Stage 1 studies (N = 117 438) and follow-up on promising variants in Stage 2 studies (N = 293 787) in five ancestry groups. Through combined meta-analyses of Stages 1 and 2, we identified 84 known and 18 novel BP loci at genome-wide significance level (P < 5 × 10-8). Two novel loci were identified based on the 1DF test of interaction with educational attainment, while the remaining 16 loci were identified through the 2DF joint test of genetic and interaction effects. Ten novel loci were identified in individuals of African ancestry. Several novel loci show strong biological plausibility since they involve physiologic systems implicated in BP regulation. They include genes involved in the central nervous system-adrenal signaling axis (ZDHHC17, CADPS, PIK3C2G), vascular structure and function (GNB3, CDON), and renal function (HAS2 and HAS2-AS1, SLIT3). Collectively, these findings suggest a role of educational attainment or SES in further dissection of the genetic architecture of BP.
  • Thumbnail Image
    Item
    Iron status and anaemia in Sri Lankan secondary school children: A cross-sectional survey
    (Public Library of Science, 2017) Allen, A.; Allen, S.; Rodrigo, R.; Perera, L.; Shao, W.; Li, C.; Wang, D.; Oliviery, N.; Weatherall, D.J.; Premawardhena, A.P.
    BACKGROUND: Iron deficiency, the most common micronutrient disorder and cause of anaemia globally, impairs growth, cognition, behaviour and resistance to infection. METHODS/RESULTS: As part of a national survey of inherited haemoglobin variants in 7526 students from 72 secondary schools purposefully selected from the 25 districts of Sri Lanka, we studied 5912 students with a normal haemoglobin genotype. Median age was 16.0 (IQR 15.0-17.0) years and 3189 (53.9%) students were males. Most students were Sinhalese (65.7%), with fewer Tamils (23.1%) and Muslims (11.2%). Anaemia occurred in 470 students and was more common in females (11.1%) than males (5.6%). Haemoglobin, serum ferritin, transferrin receptor and iron were determined in 1196 students with low red cell indices and a structured sample of those with normal red cell indices (n = 513). The findings were weighted to estimate the frequencies of iron deficiency and iron deficiency anaemia classified according to WHO criteria. Iron depletion (serum ferritin <15ug/ml) occurred in 19.2% and cellular iron deficiency (low serum ferritin and transferrin receptor >28.1 nmol/l) in 11.6% students. Iron deficiency anaemia (cellular iron deficiency with low haemoglobin) occurred in only 130/2794 (4.6%) females and 28/2789 (1.0%) males. Iron biomarkers were normal in 83/470 (14.6%) students with anaemia. In multiple regression analysis, the odds for iron depletion and cellular iron deficiency were about one-third in males compared with females, and the odds for iron deficiency anaemia were about one fifth in males compared to females. Tamil ethnicity and age <16 years increased the risk of all three stages of iron deficiency and living at high altitude significantly reduced the risk of iron depletion. CONCLUSIONS: Low iron status and anaemia remain common problems in Sri Lankan secondary school students especially females, younger students and the socioeconomically disadvantaged Tamil population. More research is needed to identify factors other than low iron status that contribute to anaemia in adolescents.
  • No Thumbnail Available
    Item
    A large-scale multi-ancestry genome-wide study accounting for smoking behavior identifies multiple significant loci for blood pressure
    (University of Chicago Press, 2018) Sung, Y.J.; Winkler, T.W.; de Las Fuentes, L.; Bentley, A.R.; Brown, M.R.; Kraja, A.T.; Schwander, K.; Ntalla, I.; Guo, X.; Franceschini, N.; Lu, Y.; Cheng, C.Y.; Sim, X.; Vojinovic, D.; Marten, J.; Musani, S.K.; Li, C.; Feitosa, M.F.; Kilpelainen, T.O.; Richard, M.A.; Noordam, R.; Aslibekyan, S.; Aschard, H.; Bartz, T.M.; Dorajoo, R.; Liu, Y.; Manning, A.K.; Rankinen, T.; Smith, A.V.; Tajuddin, S.M.; Tayo, B.O.; Warren, H.R.; Zhao, W.; Zhou, Y.; Matoba, N.; Sofer, T.; Alver, M.; Amini, M.; Boissel, M.; Chai, J.F.; Chen, X.; Divers, J.; Gandin, I.; Gao, C.; Giulianini, F.; Goel, A.; Harris, S.E.; Hatwig, F.P.; Horimoto, A.R.V.R.; Hsu, F.C.; Jackson, A.U.; Kahonen, M.; Kasturiratne, A.; Kuhnel, B.; Leander, K.; Lee, W.J.; Lin, K.H.; an Luan, J.; McKenzie, C.A.; Meian, H.; Nelson, C.P.; Rauramaa, R.; Schupf, N.; Scott, R.A.; Sheu, W.H.H.; Stancakova, A.; Takeuchi, F.; van der Most, P.J.; Varga, T.V.; Wang, H.; Wang, Y.; Ware, E.B.; Weiss, S.; Wen, W.; Yanek, L.R.; Zhang, W.; Zhao, J.H.; Afag, S.; Alfred, T.; Amin, N.; Arking, D.; Aung, T.; Barr, R.G.; Bielak, L.F.; Boerwincle, E.; Bottinger, E.P.; Braund, P.S.; Brody, J.A.; Broeckel, U.; Cabrera, C.P.; Cade, B.; Caizheng, Y.; Campbell, A.; Canouil, M.; Chakravarti, A.; CHARGE Neurology Working Group; Chauhan, G.; Christensen, K.; Cocca, M.; COGENT-Kidney Consortium; Collins, F.S.; Connel, J.M.; de Mutsert, R.; de Silva, H.J.; Debette, S.; Dorr, M.; Duan, Q.; Eaton, C.B.; Ehret, G.; Evangelou, E.; FAul, J.D.; Fisher, V.A.; Forouhi, N.G.; Franco, O.H.; Friedlander, Y.; Gao, H.; GIANT Consortium; Gigante, B.; Graff, M.; Gu, C.C.; Gu, D.; Gupta, P.; Hagenaars, S.P.; Harris, T.B.; He, J.; Heikkinen, S.; Heng, C.K.; Hirata, M.; Hofman., A.; Howard, B.V.; Hunt, S.; Irvin, M.R.; Jia, Y.; Joehanes, R.; Justice, A.E.; Katsuya, T.; Kaufman, J,; Kerrison, N.D.; Khor, C.C.; Koh, W.P.; Koistinen, H.A.; Komulainen, P.; Kooperberg, C.; Krieger, J.E.; Kubo, M.; Kuusisto, J.; Lanefeld, C.D.; Langenberg, C.; Launer, L.J.; Lehne, B.; Lewis, C.E.; Li, Y.; Lifelines Cohort Study; Lim, S.H.; Lin, S.; Liu, C.T.; Liu, J.; Liu, J.; Liu, K.; Liu, Y.; Loh, M.; Lohmann, K.K.; Long, J.; Louie, T.; Magi, R.; Mahajan, A.; Meitinger, T.; Metspalu, A.; Milani, L.; Momozawa, Y.; Morris, A.P.; Mosley, T.H.Jr.; Munson, P.; Murray, A.D.; Nalls, M.A.; Nasri, U.; Norris, J.M.; North, K.; Ogunniyi, A.; Padmanabhan, S.; Palmas, W.R.; Palmer, N.D.; Pankow, J.S.; Pedersen, N.L.; Peters, A.; Peyser, P.A.; Polasek, O.; Raitakari, O.T.; Renstrom, F.; Rice, T.K.; Ridker, P.M.; Robino, A.; Robinson, J.G.; Rose, L.M.; Rudan, I.; Salako, B.L.; Sandow, K.; Schmidt, C.O.; Schreiner, P.J.; Scott, W.R.; Seshadri, S.; Sever, P.; Sitlani, C.M.; Smith, J.A.; Snieder, H.; Starr, J.M.; Strauch, K.; Tang, H.; Taylor, K.D.; Teo, Y.Y.; Tham, Y.C.; Uitterlineden, A.G.; Waldenberger, M.; Wang, L.; Wang, Y.X.; Wei, W.B.; Williams, C.; Wilson, G.; Wojczynski, M.K.; Yao, J.; Yuan, J.M.; Zonderman, A.B.; Becker, D.M.; Boehnke, M.; Bowden, D.W.; Chambers, J.C.; Chen, Y.I.; de Faire, U.; Deary, I.J.; Esco, T.; Farrall, M.; Forrester, T.; Franks, P.W.; Freedman, B.I.; Froguel, P.; Gasparini, P.; Gieger, C.; Horta, B.L.; Hung, Y.J.; Jonas, J.B.; Kato, N.; Kooner, J.S.; Laakso, M.; Lehtimaki, T.; Liang, K.W.; Magnusson, P.K.E.; Newman, A.B.; Oldehinkel, A.J.; Pereira, A.C.; Redline, S.; Rettig, 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.; Kamatani, Y.; Laurie, C.C.; Bouchard, C.; Cooper, R.S.; Evans, M.K.; Gudnason, V.; Kardia, S.L.R.; Kritchevsky, S.B.; Levy, D.; O'Connell, J.R.; Psaty, B.M.; van Dam, R.M.; Sims, M.; Arnett, D.K.; Mook-Kanamori, D.O.; Kelly, T.N.; Fox, E.R.; Hayward, C.; Fornage, M.; Rotimi, C.N.; Province, M.A.; van Dujin, C.M.; Tai, E.S.; Wong, T.Y.; Loos, R.J.F.; Reiner, A.P.; Rotter, J.I.; Zhu, X.; Bierut, L.J.; Gauderman, W.J.; Caulfield, M.J.; Elliott, P.; Rice, K.; Munroe, P.B.; Morrison, A.C.; Cupples, L.A.; Rao., D.C.; Chasman, D.I.
    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 ∼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 × 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 × 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).
  • Thumbnail Image
    Item
    Multi-ancestry genome-wide association study of lipid levels incorporating gene-alcohol interactions.
    (School of Hygiene and Public Health of Johns Hopkins University,Baltimore., 2019) de Vries, P. S.; Brown, M. R.; Bentley, A. R.; Sung, Y. J.; Winkler, T. W.; Ntalla, I.; Schwander, K.; Kraja, A. T.; Guo, X.; Franceschini, N.; Cheng, C. Y.; Sim, X.; Vojinovic, D.; Huffman, J. E.; Musani, S. K.; Li, C.; Feitosa, M.F.; Richard, M.A.; Noordam, R.; Aschard, H.; Bartz, T. M.; Bielak, L. F.; Deng, X.; Dorajoo, R.; Lohman, K.K.; Manning, A. K.; Rankinen, T.; Smith, A. V.; Tajuddin, S. M.; Evangelou, E.; Graff, M.; Alver, M.; Boissel, M.; Chai, J. F.; Chen, X.; Divers, J.; Gandin, I.; Gao, C.; Goel, A.; Hagemeijer, Y.; Harris, S. E.; Hartwig, F. P.; He, M.; Horimoto, A. R. V. R.; Hsu, F. C.; Jackson, A. U.; Kasturiratne, A.; Komulainen, P.; Kühnel, B.; Laguzzi, F.; Lee, J. H.; Luan, J.; Lyytikäinen, L. P.; Matoba, N.; Nolte, I. M.; Pietzner, M.; Riaz, M.; Said, M. A.; Scott, R. A.; Sofer, T.; Stancáková, A.; Takeuchi, F.; Tayo, B. O.; van der Most, P. J.; Varga, T. V.; Wang, Y.; Ware, E. B.; Wen, W.; Yanek, L. R.; Zhang, W.; Zhao, J. H.; Afaq, S.; Amin, N.; Amini, M.; Arking, D. E.; Aung, T.; Ballantyne, C.; Boerwinkle, E.; Broeckel, U.; Campbell, A.; Canouil, M.; Charumathi, S.; Chen, Y. I.; Connell, J. M.; de Faire, U.; de Las Fuentes, L.; de Mutsert, R.; de Silva, H.J.; Ding, J.; Dominiczak, A. F.; Duan, Q.; Eaton, C. B.; Eppinga, R.N.; Faul, J. D.; Fisher, V.; Forrester, T.; Franco, O. H.; Friedlander, Y.; Ghanbari, M.; Giulianini, F.; Grabe, H. J.; Grove, M. L.; Gu, C. C.; Harris, T. B.; Heikkinen, S.; Heng, C. K.; Hirata, M.; Hixson, J. E.; Howard, B. V.; Ikram, M. A.; InterAct Consortium; Jr. Jacobs, D. R.; Johnson, C.; Jonas, J. B.; Kammerer, C. M.; Katsuya, T.; Khor, C. C.; Kilpeläinen, T. O.; Koh, W. P.; Koistinen, H. A.; Kolcic, I.; Kooperberg, C.; Krieger, J. E.; Kritchevsky, S. B.; Kubo, M.; Kuusisto, J.; Lakka, T. A.; Langefeld, C. D.; Langenberg, C.; Launer, L. J.; Lehne, B.; Lemaitre, R. N.; Li, Y.; Liang, J.; Liu, J.; Liu, K.; Loh, M.; Louie, T.; Mägi, R.; Manichaikul, A. W.; McKenzie, C. A.; Meitinger, T.; Metspalu, A.; Milaneschi, Y.; Milani, L.; Mohlke, K. L.; Jr. Mosley, T. H.; Nelson, C. P.; Mukamal, K. J.; Nalls, M. A.; Nauck, M.; Sotoodehnia, N.; O'Connell, J. R.; Palmer, N. D.; Pazoki, R.; Pedersen, N. L.; Peters, A.; Peyser, P. A.; Polasek, O.; Poulter, N.; Raffel, L. J.; Raitakari, O. T.; Reiner, A. P.; Rice, T. K.; Rich, S. S.; Robino, A.; Robinson, J. G.; Rose, L. M.; Rudan, I.; Schmidt, C. O.; Schreiner, P. J.; Scott, W. R.; Sever, P.; Shi, Y.; Sidney, S.; Sims, M.; Smith, B. H.; Smith, J. A.; Snieder, H.; Starr, J. M.; Strauch, K.; Tan, N.; Taylor, K. D.; Teo, Y. Y.; Tham, Y. C.; Uitterlinden, A. G.; van Heemst, D.; Vuckovic, D.; Waldenberger, M.; Wang, L.; Wang, Y.; Wang, Z.; Wei, W. B.; Williams, C.; Sr Wilson, G.; Wojczynski, M. K.; Yao, J.; Yu, B.; 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.; Horta, B. L.; Kamatani, Y.; Kato, N.; Kooner, J. S.; Laakso, M.; Leander, K.; Lehtimäki, T.; Lifelines Cohort, Groningen,; The Netherlands (Lifelines Cohort Study); Magnusson, P. K. E.; Penninx, B.; Pereira, A. C.; Rauramaa, R.; Samani, N.J.; Scott, J.; Shu, X. O.; van der Harst, P.; Wagenknecht, L. E.; Wang, Y. X.; Wareham, N. J.; Watkins, H.; Weir, D. R.; Wickremasinghe, A.R.; Zheng, W.; Elliott, P.; North, K. E.; Bouchard, C.; Evans, M. K.; Gudnason, V.; Liu, C. T.; Liu, Y.; Psaty, B. M.; Ridker, P. M.; van Dam, R. M.; Kardia, S. L. R.; Zhu, X.; Rotimi, C. N.; Mook-Kanamori, D. O.; Fornage, M.; Kelly, T. N.; Fox, E. R.; Hayward, C.; van Duijn, C. M.; Tai, E. S.; Wong, T. Y.; Liu, J.; Rotter, J. I.; Gauderman, W. J.; Province, M. A.; Munroe, P. B.; Rice, K.; Chasman, D. I.; Cupples, L. A.; Rao, D. C.; Morrison, A. C.
    An individual's lipid profile is influenced by genetic variants and alcohol consumption, but the contribution of interactions between these exposures has not been studied. We therefore incorporated gene-alcohol interactions into a multi-ancestry genome-wide association study of levels of high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, and triglycerides. We included 45 studies in Stage 1 (genome-wide discovery) and 66 studies in Stage 2 (focused follow-up), for a total of 394,584 individuals from five ancestry groups. Genetic main and interaction effects were jointly assessed by a 2 degrees of freedom (DF) test, and a 1 DF test was used to assess the interaction effects alone. Variants at 495 loci were at least suggestively associated (P < 1 × 10-6) with lipid levels in Stage 1 and were evaluated in Stage 2, followed by combined analyses of Stage 1 and Stage 2. In the combined analysis of Stage 1 and Stage 2, 147 independent loci were associated with lipid levels at P < 5 × 10-8 using 2 DF tests, of which 18 were novel. No genome-wide significant associations were found testing the interaction effect alone. The novel loci included several genes (PCSK5, VEGFB, and A1CF) with a putative role in lipid metabolism based on existing evidence from cellular and experimental models.
  • Thumbnail Image
    Item
    Multi-ancestry genome-wide gene-smoking interaction study of 387,272 individuals identifies new loci associated with serum lipids.
    (Nature Publishing Group, 2019) Bentley, A.R.; Chasman, D. I.; Schwander, K.; Ntalla, I.; Kraja, A.T.; Winkler, T.W.; Brown, M. R.; Sung, Y. J.; Lim, E.; Huffman, J.E.; Vojinovic, D.; Sim, X.; Cheng, C.Y.; Lu, Y.; Liu, J.; Guo, X.; Deng, X.; Musani, S.K.; Li, C.; Feitosa, M.F.; Richard, M.A.; Noordam, R.; Baker, J.; Chen, G.; Aschard, H.; Bartz, T.M.; Ding, J.; Dorajoo, R.; Manning, A.K.; Rankinen, T.; Smith, A. V.; Tajuddin, S.M.; Zhao, W.; Graff, M.; Alver, M.; Boissel, M.; Chai, J. F.; Chen, X.; Divers, J.; Evangelou, E.; Gao, C.; Goel, A.; Hagemeijer, Y.; Harris, S. E.; Hartwig, F. P.; He, M.; Horimoto, A.R.V. R.; Hsu, F.C.; Hung, Y. J.; Jackson, A. U.; Kasturiratne, A.; Komulainen, P.; Kühnel, B.; Leander, K.; Lin, K. H.; Luan, J.; Lyytikäinen, L.P.; Matoba, N.; Nolte, I. M.; Pietzner, M.; Prins, B.; Riaz, M.; Robino, A.; Said, M. A.; Schupf, N.; Scott, R. A.; Sofer, T.; Stancáková, A.; Takeuchi, F.; Tayo, B. O.; van der Most, P. J.; Varga, T. V.; Wang, T. D.; Wang, Y.; Ware, E. B.; Wen, W.; Xiang, Y. B.; Yanek, L. R.; Zhang, W.; Zhao, J. H.; Adeyemo, A.; Afaq, S.; Amin, N.; Amini, M.; Arking, D.E.; Arzumanyan, Z.; Aung, T.; Ballantyne, C.; Barr, R. G.; Bielak, L. F.; Boerwinkle, E.; Bottinger, E.P.; Broeckel, U.; Chen, Y. I.; Charumathi, S.; Canouil, M.; Campbell, A.; Cade, B. E.; Brown, M.; Christensen, K.; de Las Fuentes, L.; Connell, J. M.; Concas, M. P.; COGENT-Kidney Consortium; de Silva, H.J.; de Vries, P. S.; Doumatey, A.; Duan, Q.; Eaton, C. B.; Eppinga, R.N.; Faul, J. D.; Floyd, J.S.; Gigante, B.; Gharib, S. A.; Forouhi, N.G.; Ghanbari, M.; Gao, H.; Gandin, I.; Friedlander, Y.; Forrester, T.; Hixson, J. E.; Hirata, M.; Justice, A. E.; Jonas, J. B.; Johnson, C.; Joehanes, R.; Jia, Y.; EPIC-InterAct Consortium; Ikram, M.A.; Katsuya, T.; Khor, C.C.; Kilpeläinen, T.O.; Koh, W. P.; Kolcic, I.; Kooperberg, C.; 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.; Liang, J.; Lin, S.; Liu, C.T.; Liu, J.; Liu, K.; Loh, M.; Lohman, K.K.; Louie, T.; Luzzi, A.; Mägi, R.; Mahajan, A.; Manichaikul, A.W.; McKenzie, C.A.; Meitinger, T.; Metspalu, A.; Milaneschi, Y.; Milani, L.; Mohlke, K. L.; Momozawa, Y.; Morris, A. P.; Murray, A. D.; Nalls, M. A.; Nauck, M.; Nelson, C. P.; North, K. E.; O'Connell, J.R.; Palmer, N.D.; Papanicolau, G.J.; Pedersen, N. L.; Peters, A.; Peyser, P. A.; Polasek, O.; Poulter, N.; Raitakari, O.T.; Reiner, A. P.; Renström, F.; Rice, T.K.; Rich, S.S.; Robinson, J.G.; Rose, L. M.; Rosendaal, F. R.; Rudan, I.; Schmidt, C.O.; Schreiner, P. J.; Scott, W.R.; Sever, P.; Shi, Y.; Sidney, S.; Sims, 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.; Tiemeier, H.; Turner, S. T.; Uitterlinden, A. G.; Understanding Society Scientific Group; van Heemst, D.; Waldenberger, M.; Wang, H.; Wang, L.; Wang, L.; Wei, W. B.; Williams, C. A.; Wilson, G. Sr.; Wojczynski, M. K.; Yao, J.; Young, K.; Yu, C.; Yuan, J. M.; Zhou, J.; Zonderman, A. B.; Becker, D. M.; Boehnke, M.; Bowden, D. W.; Chambers, J. C.; Cooper, R. S.; de Faire, U.; Deary, I. J.; Elliott, P.; Esko, T.; Farrall, M.; Franks, P. W.; Freedman, B. I.; Froguel, P.; Gasparini, P.; Gieger, C.; Horta, B. L.; Juang, J. J.; Kamatani, Y.; Kammerer, C. M.; Kato, N.; Kooner, J. S.; Laakso, M.; Laurie, C. C.; Lee, I. T.; Lehtimäki, T.; Lifelines Cohort; Magnusson, P. K. E.; Oldehinkel, A. J.; Penninx, B. W. J. H.; Pereira, A. C.; Rauramaa, R.; Redline, S.; Samani, N. J.; Scott, J.; Shu, X. O.; van der Harst, P.; Wagenknecht, L. E.; Wang, J. S.; Wang, Y. X.; Wareham, N. J.; Watkins, H.; Weir, D. R.; Wickremasinghe, A.R.; Wu, T.; Zeggini, E.; Zheng, W.; Bouchard, C.; Evans, M. K.; Gudnason, V.; Kardia, S. L. R.; Liu, Y.; Psaty, B. M.; Ridker, P. M.; van Dam, R. M.; Mook-Kanamori, D. O.; Fornage, M.; Province, M. A.; Kelly, T. N.; Fox, E. R.; Hayward, C.; van Duijn, C. M.; Tai, E. S.; Wong, T. Y.; Loos, R. J. F.; Franceschini, N.; Rotter, J. I.; Zhu, X.; Bierut, L. J.; Gauderman, W. J.; Rice, K.; Munroe, P. B.; Morrison, A. C.; Rao, D. C.; Cupples, L. A.; Rotimi, C. N.
    The concentrations of high- and low-density-lipoprotein cholesterol and triglycerides are influenced by smoking, but it is unknown whether genetic associations with lipids may be modified by smoking. We conducted a multi-ancestry genome-wide gene-smoking interaction study in 133,805 individuals with follow-up in an additional 253,467 individuals. Combined meta-analyses identified 13 new loci associated with lipids, some of which were detected only because association differed by smoking status. Additionally, we demonstrate the importance of including diverse populations, particularly in studies of interactions with lifestyle factors, where genomic and lifestyle differences by ancestry may contribute to novel findings.
  • Thumbnail Image
    Item
    A multi-ancestry genome-wide study incorporating gene-smoking interactions identifies multiple new loci for pulse pressure and mean arterial pressure
    (IRL Press at Oxford University Press., 2019) Sung, Y.J.; de Las Fuentes, L.; Winkler, T.W.; Chasman, D.I.; Bentley, A.R.; Kraja, A.T.; Ntalla, I.; Warren, H.R.; Guo, X.; Schwander, K.; Manning, A.K.; Brown, M.R.; Aschard, H.; Feitosa, M.F.; Franceschini, N.; Lu, Y.; Cheng, C.Y.; Sim, X.; Vojinovic, D.; Marten, J.; Musani, S.K.; Kilpeläinen, T.O.; Richard, M.A.; Aslibekyan, S.; Bartz, T.M.; Dorajoo, R.; Li, C.; Liu, Y.; Rankinen, T.; Smith, A.V.; Tajuddin, S.M.; Tayo, B.O.; Zhao, W.; Zhou, Y.; Matoba, N.; Sofer, T.; Alver, M.; Amini, M.; Boissel, M.; Chai, J.F.; Chen, X.; Divers, J.; Gandin, I.; Gao, C.; Giulianini, F.; Goel, A.; Harris, S.E.; Hartwig, F.P.; He, M.; Horimoto, A.R.V.R.; Hsu, F.C.; Jackson, A.U.; Kammerer, C.M.; Kasturiratne, A.; Komulainen, P.; Kühnel, B.; Leander, K.; Lee, W.J.; Lin, K.H.; Luan, J.; Lyytikäinen, L.P.; McKenzie, C.A.; Nelson, C.P.; Noordam, R.; Scott, R.A.; Sheu, W.H.H.; Stančáková, A.; Takeuchi, F.; van der Most, P.J.; Varga, T.V.; Waken, R.J.; Wang, H.; Wang, Y.; Ware, E.B.; Weiss, S.; Wen, W.; Yanek, L.R.; Zhang, W.; Zhao, J.H.; Afaq, S.; Alfred, T.; Amin, N.; Arking, D.E.; Aung, T.; Barr, R.G.; Bielak, L.F.; Boerwinkle, E.; Bottinger, E.P.; Braund, P.S.; Brody, J.A.; Broeckel, U.; Cade, B.; Campbell, A.; Canouil, M.; Chakravarti, A.; Cocca, M.; Collins, F.S.; Connell, J.M.; de Mutsert, R.; de Silva, H.J.; Dörr, M.; Duan, Q.; Eaton, C.B.; Ehret, G.; Evangelou, E.; Faul, J.D.; Forouhi, N.G.; Franco, O.H.; Friedlander, Y.; Gao, H.; Gigante, B.; Gu, C.C.; Gupta, P.; Hagenaars, S.P.; Harris, T.B.; He, J.; Heikkinen, S.; Heng, C.K.; Hofman, A.; Howard, B.V.; Hunt, S.C.; Irvin, M.R.; Jia, Y.; Katsuya, T.; Kaufman, J.; Kerrison, N.D.; Khor, C.C.; Koh, W.P.; Koistinen, H.A.; Kooperberg, C.B.; Krieger, J.E.; Kubo, M.; Kutalik, Z.; Kuusisto, J.; Lakka, T.A.; Langefeld, C.D.; Langenberg, C.; Launer, L.J.; Lee, J.H.; Lehne, B.; Levy, D.; Lewis, C.E.; Li, Y.; Lifelines Cohort Study; Lim, S.H.; Liu, C.T.; Liu, J.; Liu, J.; Liu, Y.; Loh, M.; Lohman, K.K.; Louie, T.; Mägi, R.; Matsuda, K.; Meitinger, T.; Metspalu, A.; Milani, L.; Momozawa, Y.; Mosley, T.H. Jr; Nalls, M.A.; Nasri, U.; O'Connell, J.R.; Ogunniyi, A.; Palmas, W.R.; Palmer, N.D.; Pankow, J.S.; Pedersen, N.L.; Peters, A.; Peyser, P.A.; Polasek, O.; Porteous, D.; Raitakari, O.T.; Renström, F.; Rice, T.K.; Ridker, P.M.; Robino, A.; Robinson, J.G.; Rose, L.M.; Rudan, I.; Sabanayagam, C.; Salako, B.L.; Sandow, K.; Schmidt, C.O.; Schreiner, P.J.; Scott, W.R.; Sever, P.; Sims, M.; Sitlani, C.M.; Smith, B.H.; Smith, J.A.; Snieder, H.; Starr, J.M.; Strauch, K.; Tang, H.; Taylor, K.D.; Teo, Y.Y.; Tham, Y.C.; Uitterlinden, A.G.; Waldenberger, M.; Wang, L.; Wang, Y.X.; Wei, W.B.; Wilson, G.; Wojczynski, M.K.; Xiang, Y.B.; Yao, J.; Yuan, J.M.; Zonderman, A.B.; Becker, D.M.; Boehnke, M.; Bowden, D.W.; Chambers, J.C.; Chen, Y.I.; Weir, D.R.; de Faire, U.; Deary, I.J.; Esko, T.; Farrall, M.; Forrester, T.; Freedman, B.I.; Froguel, P.; Gasparini, P.; Gieger, C.; Horta, B.L.; Hung, Y.J.; Jonas, J.B.; Kato, N.; Kooner, J.S.; Laakso, M.; Lehtimäki, T.; Liang, K.W.; Magnusson, P.K.E.; VOldehinkel, A.J.; Pereira, A.C.; Perls, T.; Rauramaa, R.; Redline, S.; Rettig, R.; Samani, N.J.; Scott, J.; Shu, X.O.; van der Harst, P.; Wagenknecht, L.E.; Wareham, N.J.; Watkins, H.; Wickremasinghe, A.R.; Wu, T.; Kamatani, Y.; Laurie, C.C.; Bouchard, C.; Cooper, R.S.; Evans, M.K.; Gudnason, V.; Hixson, J.; Kardia, S.L.R.; Kritchevsky, S.B.; Psaty, B.M.; van Dam, R.M.; Arnett, D.K.; Mook-Kanamori, D.O.; Fornage, M.; Fox, E.R.; Hayward, C.; van Duijn, C.M.; Tai, E.S.; Wong, T.Y.; Loos, R.J.F.; Reiner, A.P.; Rotimi, C.N.; Bierut, L.J.; Zhu, X.; Cupples, L.A.; Province, M.A.; Rotter, J.I.; Franks, P.W.; Rice, K.; Elliott, P.; Caulfield, M.J.; Gauderman, W.J.; Munroe, P.B.; Rao, D.C.; Morrison, A.C.
    ABSTRACT: Elevated blood pressure (BP), a leading cause of global morbidity and mortality, is influenced by both genetic and lifestyle factors. Cigarette smoking is one such lifestyle factor. Across five ancestries, we performed a genome-wide gene-smoking interaction study of mean arterial pressure (MAP) and pulse pressure (PP) in 129 913 individuals in stage 1 and follow-up analysis in 480 178 additional individuals in stage 2. We report here 136 loci significantly associated with MAP and/or PP. Of these, 61 were previously published through main-effect analysis of BP traits, 37 were recently reported by us for systolic BP and/or diastolic BP through gene-smoking interaction analysis and 38 were newly identified (P < 5 × 10-8, false discovery rate < 0.05). We also identified nine new signals near known loci. Of the 136 loci, 8 showed significant interaction with smoking status. They include CSMD1 previously reported for insulin resistance and BP in the spontaneously hypertensive rats. Many of the 38 new loci show biologic plausibility for a role in BP regulation. SLC26A7 encodes a chloride/bicarbonate exchanger expressed in the renal outer medullary collecting duct. AVPR1A is widely expressed, including in vascular smooth muscle cells, kidney, myocardium and brain. FHAD1 is a long non-coding RNA overexpressed in heart failure. TMEM51 was associated with contractile function in cardiomyocytes. CASP9 plays a central role in cardiomyocyte apoptosis. Identified only in African ancestry were 30 novel loci. Our findings highlight the value of multi-ancestry investigations, particularly in studies of interaction with lifestyle factors, where genomic and lifestyle differences may contribute to novel findings.
  • Thumbnail Image
    Item
    Multi-ancestry study of blood lipid levels identifies four loci interacting with physical activity.
    (Nature Publications, 2019) Kilpeläinen, T.O.; Bentley, A.R.; Noordam, R.; Sung, Y. J.; Schwander, K.; Winkler, T. W.; Jakupović, H.; Chasman, D. I.; Manning, A.; Ntalla, I.; Aschard, H.; Brown, M. R.; de Las Fuentes, L.; Franceschini, N.; Guo, X.; Vojinovic, D.; Aslibekyan, S.; Feitosa, M. F.; Kho, M.; Musani, S. K.; Richard, M.; Wang, H.; Wang, Z.; Bartz, T. M.; Bielak, L. F.; Campbell, A.; Dorajoo, R.; Fisher, V.; Hartwig, F. P.; Horimoto, A. R. V. R.; Li, C.; Lohman, K. K.; Marten, J.; Sim, X.; Smith, A. V.; Tajuddin, S. M.; Alver, M.; Amini, M.; Boissel, M.; Chai, J. F.; Chen, X.; Divers, J.; Evangelou, E.; Gao, C.; Graff, M.; Harris, S. E.; He, M.; Hsu, F. C.; Jackson, A. U.; Zhao, J. H.; Kraja, A. T.; Kühnel, B.; Laguzzi, F.; Lyytikäinen, L. P.; Nolte, I. M.; Rauramaa, R.; Riaz, M.; Robino, A.; Rueedi, R.; Stringham, H. M.; Takeuchi, F.; van der Most, P. J.; Varga, T. V.; Verweij, N.; Ware, E. B.; Wen, W.; Li, X.; Yanek, L. R.; Amin, N.; Arnett, D. K.; Boerwinkle, E.; Brumat, M.; Cade, B.; Canouil, M.; Chen, Y. I.; Concas, M. P.; Connell, J.; de Mutsert, R.; de Silva, H.J.; de Vries, P.S.; Demirkan, A.; Ding, J.; Eaton, C. B.; Faul, J. D.; Friedlander, Y.; Gabriel, K. P.; Ghanbari, M.; Giulianini, F.; Gu, C. C.; Gu, D.; Harris, T. B.; He J, J.; Heikkinen, S.; Heng, C. K.; Hunt, S. C.; Ikram, M. A.; Jonas, J. B.; Koh, W. P.; Komulainen, P.; Krieger, J. E.; Kritchevsky, S. B.; Kutalik, Z.; Kuusisto, J.; Langefeld, C. D.; Langenberg, C.; Launer, L. J.; Leander, K.; Lemaitre, R. N.; Lewis, C. E.; Liang, J.; Lifelines Cohort Study; Liu, J.; Mägi, R.; Manichaikul, A.; Meitinger, T.; Metspalu, A.; Milaneschi, Y.; Mohlke, K. L.; Mosley, T. H.; Murray, A. D.; Nalls, M. A.; Nang, E. K.; Nelson, C. P.; Nona, S.; Norris, J. M.; Nwuba, C. V.; O'Connell, J.; Palmer, N. D.; Papanicolau, G. J.; Pazoki, R.; Pedersen, N. L.; Peters, A.; Peyser, P. A.; Polasek, O.; Porteous, D. J.; Poveda, A.; Raitakari, O. T.; Rich, S. S.; Risch, N.; Robinson, J. G.; Rose, L. M.; Rudan, I.; Schreiner, P. J.; Scott, R. A.; Sidney, S. S.; Sims, M.; Smith, J. A.; Snieder, H.; Sofer, T.; Starr, J. M.; Sternfeld, B.; Strauch, K.; Tang, H.; Taylor, K. D.; Tsai, M. Y.; Tuomilehto, J.; Uitterlinden, A. G.; van der Ende, M. Y.; van Heemst, D.; Voortman, T.; Waldenberger, M.; Wennberg, P.; Wilson, G.; Xiang, Y. B.; Yao, J.; Yu, C.; Yuan, J. M.; Zhao, W.; Zonderman, A. B.; Becker, D. M.; Boehnke, M.; Bowden, D. W.; de Faire, U.; Deary, I. J.; Elliott, P.; Esko, T.; Freedman, B. I.; Froguel, P.; Gasparini, P.; Gieger, C.; Kato, N.; Laakso, M.; Lakka, T. A.; Lehtimäki, T.; Magnusson, P. K. E.; Oldehinkel, A. J.; Penninx, B. W. J. H.; Samani, N. J.; Shu, X. O.; van der Harst, P.; Van Vliet-Ostaptchouk, J. V.; Vollenweider, P.; Wagenknecht, L. E.; Wang, Y. X.; Wareham, N. J.; Weir, D. R.; Wu, T.; Zheng, W.; Zhu, X.; Evans, M. K.; Franks, P. W.; Gudnason, V.; Hayward, C.; Horta, B. L.; Kelly, T. N.; Liu, Y.; North, K. E.; Pereira, A. C.; Ridker, P. M.; Tai, E. S.; van Dam, R. M.; Fox, E. R.; Kardia, S. L. R.; Liu, C. T.; Province, M. A.; Mook-Kanamori, D. O.; Redline, S.; van Duijn, C. M.; Rotter, J. I.; Kooperberg, C. B.; Gauderman, W. J.; Psaty, B. M.; Rice, K.; Munroe, P. B.; Fornage, M.; Cupples, L. A.; Rotimi, C. N.; Morrison, A. C.; Rao, D. C.; Loos, R. J. F.
    Many genetic loci affect circulating lipid levels, but it remains unknown whether lifestyle factors, such as physical activity, modify these genetic effects. To identify lipid loci interacting with physical activity, we performed genome-wide analyses of circulating HDL cholesterol, LDL cholesterol, and triglyceride levels in up to 120,979 individuals of European, African, Asian, Hispanic, and Brazilian ancestry, with follow-up of suggestive associations in an additional 131,012 individuals. We find four loci, in/near CLASP1, LHX1, SNTA1, and CNTNAP2, that are associated with circulating lipid levels through interaction with physical activity; higher levels of physical activity enhance the HDL cholesterol-increasing effects of the CLASP1, LHX1, and SNTA1 loci and attenuate the LDL cholesterol-increasing effect of the CNTNAP2 locus. The CLASP1, LHX1, and SNTA1 regions harbor genes linked to muscle function and lipid metabolism. Our results elucidate the role of physical activity interactions in the genetic contribution to blood lipid levels.
  • Thumbnail Image
    Item
    Novel genetic associations for blood pressure identified via gene-alcohol interaction in up to 570K individuals across multiple ancestries
    (Public Library of Science, 2018) 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.; Scwander, K.; Richard, M.A.; Noordam, R.; Aschard, H.; Bartz, T.M.; Bielak, L.F.; Dorajoo, R.; Fishaer, V.; Hartwig, F.P.; Horimoto, A.R.V.R.; Lohman, K.K.; Manning, A.K.; Rankinen, T.; Smith, A.V.; Tajiddin, 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.; Kahonen, M.; Kasturiratne, A.; Komulainen, P.; Kuhnel, B.; Laguzzi, F.; Luan, J.; Matoba, N.; Nolte, I.M.; Padmanabhan, S.; Riaz, M.; Rueedi, R.; Robino, A.; Said, M.A.; Scott, R.A.; Soffer, T.; Stancakova, A.; Takeuchi, F.; Tayo, B.O.; van de 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.; Broecki, I.; Broeckel, U.; Brown, M.; Brumat, M.; Burke, G.L.; Canouil, M.; Chakravarthi, A.; Charumathi, S.; Ida Chen, Y.D.; Connel, 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.; Halmans, 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.; Lakka, T.A.; Langefeld, C.D.; Langenberg, C.; Launer, L.J.; Lehne, B.; Lewis, C.E.; Li, Y.; Lin, S.; Lin, U.; Liu, J.; Liu, J.; Loh, M.; Louie, T.; Magi, 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'Connel, 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.; Schimidit, 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.C.; Uitterlinden, A.G.; Vollenweider, P.; Waldenberger, M.; Wang, L.; Wang, Y.X.; Wei, W.B.; Williams, C.; Yao, J.; Yuan, J.M.; Zhao, W.; Zonderman, A.B.; Becker, D.M.; Boehnke, M.; Bowden, D.W.; Chambers, J.C.; Deary, I.J.; Esco, T.; Farall, M.; Frankd, 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.; Lehtimaki, T.; Study, L.C.; Magnusson, P.K.E.; Olderhinkel, A.J.; Penninx, B.W.J.H.; Polasek, O.; Porteous, D.J.; Rauramaa, R.; Ssamani, 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.
    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