Browsing by Author "Manning, A."

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    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.
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    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.