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Common variants at ABCA7, MS4A6A/MS4A4E, EPHA1, CD33 and CD2AP are associated with Alzheimer's disease.

P. Hollingworth, D. Harold, R. Sims, A. Gerrish, J. Lambert, M. Carrasquillo, R. Abraham, M. Hamshere, J. Pahwa, V. Moskvina, K. Dowzell, N. Jones, A. Stretton, C. Thomas, A. Richards, D. Ivanov, C. Widdowson, J. Chapman, S. Lovestone, J. Powell, P. Proitsi, M. Lupton, C. Brayne, D. Rubinsztein, M. Gill, B. Lawlor, A. Lynch, K. Brown, P. Passmore, D. Craig, B. McGuinness, S. Todd, C. Holmes, D. Mann, A. Smith, H. Beaumont, D. Warden, G. Wilcock, S. Love, P. Kehoe, N. Hooper, E. Vardy, J. Hardy, S. Mead, N. Fox, M. Rossor, J. Collinge, W. Maier, F. Jessen, E. Rüther, B. Schürmann, R. Heun, H. Kölsch, H. van den Bussche, I. Heuser, J. Kornhuber, J. Wiltfang, M. Dichgans, L. Frölich, H. Hampel, J. Gallacher, M. Hüll, D. Rujescu, I. Giegling, A. Goate, J. Kauwe, C. Cruchaga, P. Nowotny, J. Morris, K. Mayo, K. Sleegers, K. Bettens, S. Engelborghs, P. De Deyn, C. Van Broeckhoven, G. Livingston, N. Bass, H. Gurling, A. McQuillin, R. Gwilliam, P. Deloukas, A. Al-Chalabi, C. Shaw, M. Tsolaki, A. Singleton, R. Guerreiro, T. Mühleisen, M. Nöthen, S. Moebus, K. Jöckel, N. Klopp, H. Wichmann, V. Pankratz, S. Sando, J. Aasly, M. Barcikowska, Z. Wszolek, D. Dickson, N. Graff-Radford, R. Petersen, A. Initiative, C. van Duijn, M. Breteler, M. Ikram, A. DeStefano, A. Fitzpatrick, O. Lopez, L. Launer, S. Seshadri, C. consortium, C. Berr, D. Campion, J. Epelbaum, J. Dartigues, C. Tzourio, A. Alpérovitch, M. Lathrop, E. consortium, T. Feulner, P. Friedrich, C. Riehle, M. Krawczak, S. Schreiber, M. Mayhaus, S. Nicolhaus, S. Wagenpfeil, S. Steinberg, H. Stefansson, K. Stefansson, J. Snaedal, S. Björnsson, P. Jonsson, V. Chouraki, B. Genier-Boley, M. Hiltunen, H. Soininen, O. Combarros, D. Zelenika, M. Delepine, M. Bullido, F. Pasquier, I. Mateo, A. Frank-Garcia, E. Porcellini, O. Hanon, E. Coto, V. Alvarez, P. Bosco, G. Siciliano, M. Mancuso, F. Panza, V. Solfrizzi, B. Nacmias, S. Sorbi, P. Bossù, P. Piccardi, B. Arosio, G. Annoni, D. Seripa, A. Pilotto, E. Scarpini, D. Galimberti, A. Brice, D. Hannequin, F. Licastro, L. Jones, P. Holmans, T. Jonsson, M. Riemenschneider, K. Morgan, S. Younkin, M. Owen, M. O'Donovan, P. Amouyel, and J. Williams. Nat Genet, 43 (5): 429--435 (May 2011)PMCID: PMC3084173.
DOI: 10.1038/ng.803

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Classification of Alzheimer's Disease, Mild Cognitive Impairment, and Cognitively Unimpaired Individuals Using Multi-feature Kernel Discriminant Dictionary Learning.Q. Li, X. Wu, L. Xu, K. Chen, L. Yao, and A. Initiative. Frontiers Comput. Neurosci., (2017)Predictive modelling using neuroimaging data in the presence of confounds.A. Rao, J. Monteiro, J. Miranda, and A. Initiative. NeuroImage, (2017)Alzheimer's disease diagnosis based on multiple cluster dense convolutional networks.F. Li, M. Liu, and A. Initiative. Comput. Medical Imaging Graph., (2018)Estimation of connectional brain templates using selective multi-view network normalization.S. Dhifallah, I. Rekik, and A. Initiative. Medical Image Anal., (2020)Identifying associations among genomic, proteomic and imaging biomarkers via adaptive sparse multi-view canonical correlation analysis.L. Du, J. Zhang, F. Liu, H. Wang, L. Guo, J. Han, and A. Initiative. Medical Image Anal., (2021)Orthogonal latent space learning with feature weighting and graph learning for multimodal Alzheimer's disease diagnosis.Z. Chen, Y. Liu, Y. Zhang, Q. Li, and A. Initiative. Medical Image Anal., (2023)Development and evaluation of a high resolution 0.5mm isotropic T1-weighted template of the older adult brain.M. Niaz, A. Ridwan, Y. Wu, A. Initiative, D. Bennett, and K. Arfanakis. NeuroImage, (2022)Benchmarking machine learning models for late-onset alzheimer's disease prediction from genomic data.J. Oriol, E. Vallejo-Clemente, K. Estrada, J. Tamez-Peña, and A. Initiative. BMC Bioinform., 20 (1): 709 (2019)Bias correction for multiple covariate analysis using empirical bayesian estimation in mixed-effects models for longitudinal data.Y. Li, Y. Yang, X. Xu, M. Yuan, and A. Initiative. Comput. Biol. Chem., (2022)Fast mesh data augmentation via Chebyshev polynomial of spectral filtering.S. Huang, M. Chung, A. Qiu, and A. Initiative. Neural Networks, (2021)

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Disambiguation of "Initiative, Alzheimer's Disease Neuroimaging"

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Common variants at ABCA7, MS4A6A/MS4A4E, EPHA1, CD33 and CD2AP are associated with Alzheimer's disease.

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Disambiguation of "Initiative, Alzheimer's Disease Neuroimaging"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Common variants at ABCA7, MS4A6A/MS4A4E, EPHA1, CD33 and CD2AP are associated with Alzheimer's disease.

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Disambiguation

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Common variants at ABCA7, MS4A6A/MS4A4E, EPHA1, CD33 and CD2AP are associated with Alzheimer's disease.