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Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function

G. Davies, M. Lam, S. Harris, J. Trampush, M. Luciano, W. Hill, S. Hagenaars, S. Ritchie, R. Marioni, C. Fawns-Ritchie, D. Liewald, J. Okely, A. Ahola-Olli, C. Barnes, L. Bertram, J. Bis, K. Burdick, A. Christoforou, P. DeRosse, S. Djurovic, T. Espeseth, S. Giakoumaki, S. Giddaluru, D. Gustavson, C. Hayward, E. Hofer, M. Ikram, R. Karlsson, E. Knowles, J. Lahti, M. Leber, S. Li, K. Mather, I. Melle, D. Morris, C. Oldmeadow, T. Palviainen, A. Payton, R. Pazoki, K. Petrovic, C. Reynolds, M. Sargurupremraj, M. Scholz, J. Smith, A. Smith, N. Terzikhan, A. Thalamuthu, S. Trompet, S. van der Lee, E. Ware, B. Windham, M. Wright, J. Yang, J. Yu, D. Ames, N. Amin, P. Amouyel, O. Andreassen, N. Armstrong, A. Assareh, J. Attia, D. Attix, D. Avramopoulos, D. Bennett, A. Böhmer, P. Boyle, H. Brodaty, H. Campbell, T. Cannon, E. Cirulli, E. Congdon, E. Conley, J. Corley, S. Cox, A. Dale, A. Dehghan, D. Dick, D. Dickinson, J. Eriksson, E. Evangelou, J. Faul, I. Ford, N. Freimer, H. Gao, I. Giegling, N. Gillespie, S. Gordon, R. Gottesman, M. Griswold, V. Gudnason, T. Harris, A. Hartmann, A. Hatzimanolis, G. Heiss, E. Holliday, P. Joshi, M. Kähönen, S. Kardia, I. Karlsson, L. Kleineidam, D. Knopman, N. Kochan, B. Konte, J. Kwok, S. Le Hellard, T. Lee, T. Lehtimäki, S. Li, C. Lill, T. Liu, M. Koini, E. London, W. Longstreth, Jr, O. Lopez, A. Loukola, T. Luck, A. Lundervold, A. Lundquist, L. Lyytikäinen, N. Martin, G. Montgomery, A. Murray, A. Need, R. Noordam, L. Nyberg, W. Ollier, G. Papenberg, A. Pattie, O. Polasek, R. Poldrack, B. Psaty, S. Reppermund, S. Riedel-Heller, R. Rose, J. Rotter, P. Roussos, S. Rovio, Y. Saba, F. Sabb, P. Sachdev, C. Satizabal, M. Schmid, R. Scott, M. Scult, J. Simino, P. Slagboom, N. Smyrnis, A. Soumaré, N. Stefanis, D. Stott, R. Straub, K. Sundet, A. Taylor, K. Taylor, I. Tzoulaki, C. Tzourio, A. Uitterlinden, V. Vitart, A. Voineskos, J. Kaprio, M. Wagner, H. Wagner, L. Weinhold, K. Wen, E. Widen, Q. Yang, W. Zhao, H. Adams, D. Arking, R. Bilder, P. Bitsios, E. Boerwinkle, O. Chiba-Falek, A. Corvin, P. De Jager, S. Debette, G. Donohoe, P. Elliott, A. Fitzpatrick, M. Gill, D. Glahn, S. Hägg, N. Hansell, A. Hariri, M. Ikram, J. Jukema, E. Vuoksimaa, M. Keller, W. Kremen, L. Launer, U. Lindenberger, A. Palotie, N. Pedersen, N. Pendleton, D. Porteous, K. Räikkönen, O. Raitakari, A. Ramirez, I. Reinvang, I. Rudan, D. Rujescu, R. Schmidt, H. Schmidt, P. Schofield, P. Schofield, J. Starr, V. Steen, J. Trollor, S. Turner, C. Van Duijn, A. Villringer, D. Weinberger, D. Weir, J. Wilson, A. Malhotra, A. McIntosh, C. Gale, S. Seshadri, T. Mosley, Jr, J. Bressler, T. Lencz, and I. Deary. Nat. Commun., (May 2018)

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Meta-analysis uncovers genome-wide significant variants for rapid kidney function declineM. Gorski, B. Jung, Y. Li, P. Matias-Garcia, M. Wuttke, S. Coassin, C. Thio, M. Kleber, T. Winkler, V. Wanner and 123 other author(s). Kidney Int., 99 (4): 926--939 (April 2021)Analysis of GPRC6A variants in different pancreatitis etiologiesT. Kaune, C. Ruffert, N. Hesselbarth, M. Damm, S. Krug, J. Cardinal von Widdern, E. Masson, J. Chen, V. Rebours, L. Buscail and 23 other author(s). Pancreatology, 20 (7): 1262--1267 (October 2020)Genome-wide association meta-analysis for early age-related macular degeneration highlights novel loci and insights for advanced diseaseT. Winkler, F. Grassmann, C. Brandl, C. Kiel, F. Günther, T. Strunz, L. Weidner, M. Zimmermann, C. Korb, A. Poplawski and 15 other author(s). BMC Med. Genomics, 13 (1): 120 (August 2020)Proteomic profiling of low muscle and high fat mass: a machine learning approach in the KORA S4/FF4 studyM. Huemer, A. Bauer, A. Petrera, M. Scholz, S. Hauck, M. Drey, A. Peters, and B. Thorand. J. Cachexia Sarcopenia Muscle, 12 (4): 1011--1023 (August 2021)Genetic correlations and genome-wide associations of cortical structure in general population samples of 22,824 adultsE. Hofer, G. Roshchupkin, H. Adams, M. Knol, H. Lin, S. Li, H. Zare, S. Ahmad, N. Armstrong, C. Satizabal and 90 other author(s). Nat. Commun., 11 (1): 4796 (September 2020)A biomathematical model of human erythropoiesis and iron metabolismS. Schirm, and M. Scholz. Sci. Rep., 10 (1): 8602 (May 2020)A catalog of genetic loci associated with kidney function from analyses of a million individualsM. Wuttke, Y. Li, M. Li, K. Sieber, M. Feitosa, M. Gorski, A. Tin, L. Wang, A. Chu, A. Hoppmann and 319 other author(s). Nat. Genet., 51 (6): 957--972 (June 2019)Common variants in the CLDN2-MORC4 and PRSS1-PRSS2 loci confer susceptibility to acute pancreatitisF. Weiss, N. Hesselbarth, A. Párniczky, D. Mosztbacher, F. Lämmerhirt, C. Ruffert, P. Kovacs, S. Beer, K. Seltsam, H. Griesmann and 22 other author(s). Pancreatology, 18 (5): 477--481 (July 2018)Common genetic variation indicates separate causes for periventricular and deep white matter hyperintensitiesN. Armstrong, K. Mather, M. Sargurupremraj, M. Knol, R. Malik, C. Satizabal, L. Yanek, W. Wen, V. Gudnason, N. Dueker and 76 other author(s). Stroke, 51 (7): 2111--2121 (July 2020)Relationship between fermented dairy consumption, circulating short-chain acylcarnitines and angiographic severity of coronary artery diseaseA. Teren, A. Vogel, F. Beutner, S. Gielen, R. Burkhardt, M. Scholz, J. Thiery, and U. Ceglarek. Nutr. Metab. Cardiovasc. Dis., 30 (10): 1662--1672 (September 2020)

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Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function

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Disambiguation of "Scholz, Markus"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function

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Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function