The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.
Genetic Variation and Neuroimaging Measures in Alzheimer Disease
Open accessAbstract
OBJECTIVE: To investigate whether genome-wide association study (GWAS)-validated and GWAS-promising candidate loci influence magnetic resonance imaging measures and clinical Alzheimer's disease (AD) status. DESIGN: Multicenter case-control study of genetic and neuroimaging data from the Alzheimer's Disease Neuroimaging Initiative. SETTING: Multicenter GWAS. Patients A total of 168 individuals with probable AD, 357 with mild cognitive impairment, and 215 cognitively normal control individuals recruited from more than 50 Alzheimer's Disease Neuroimaging Initiative centers in the United States and Canada. All study participants had APOE and genome-wide genetic data available. MAIN OUTCOME MEASURES: We investigated the influence of GWAS-validated and GWAS-promising novel AD loci on hippocampal volume, amygdala volume, white matter lesion volume, entorhinal cortex thickness, parahippocampal gyrus thickness, and temporal pole cortex thickness. RESULTS: Markers at the APOE locus were associated with all phenotypes except white matter lesion volume (all false discovery rate-corrected P values < .001). Novel and established AD loci identified by prior GWASs showed a significant cumulative score-based effect (false discovery rate P = .04) on all analyzed neuroimaging measures. The GWAS-validated variants at the CR1 and PICALM loci and markers at 2 novel loci (BIN1 and CNTN5) showed association with multiple magnetic resonance imaging characteristics (false discovery rate P < .05). CONCLUSIONS: Loci associated with AD also influence neuroimaging correlates of this disease. Furthermore, neuroimaging analysis identified 2 additional loci of high interest for further study.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“In addition, the SNPs of BIN1, such as rs744373 and rs7561528, may contribute to AD susceptibility by impacting brain structure and function [480, 481].”
From Molecular and cellular mechanisms underlying the pathogenesis of Alzheimer’s disease (2020) · cites this paper as [480]
In the citing paper
“SNPs in and around candidate genes including APOE, BIN1, SORL1, and CR1 have been associated with traits including medial temporal lobe atrophy and cortical thickness [225–228]”
From Genetic architecture of Alzheimer's disease (2020) · cites this paper as [227]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Folstein, M. F., Folstein, S. E., & McHugh, P. R. (1975) · Journal of Psychiatric Research · doi:10.1016/0022-3956(75)90026-6 · Cited by 88,282
McKhann, G., Drachman, D., Folstein, M., Katzman, R., Price, D., & Stadlan, E. M. (1984) · Neurology · doi:10.1212/wnl.34.7.939 · Cited by 27,915
Cortical Surface-Based Analysis
Dale, A. M., Fischl, B., & Sereno, M. I. (1999) · NeuroImage · doi:10.1006/nimg.1998.0395 · Cited by 10,910
The Clinical Dementia Rating (CDR): Current version and scoring rules
Morris, J. C. (1993) · Neurology · doi:10.1212/wnl.43.11.2412-a · Cited by 9,882
Fischl, B., Salat, D. H., Busa, E., Albert, M., Dieterich, M., Haselgrove, C., van der Kouwe, A., Killiany, R., Kennedy, D., Klaveness, S., et al. (2002) · Neuron · doi:10.1016/s0896-6273(02)00569-x · Cited by 8,610
Mild cognitive impairment as a diagnostic entity
Petersen, R. C. (2004) · Journal of Internal Medicine · doi:10.1111/j.1365-2796.2004.01388.x · Cited by 7,864
Cortical Surface-Based Analysis
Fischl, B., Sereno, M. I., & Dale, A. M. (1999) · NeuroImage · doi:10.1006/nimg.1998.0396 · Cited by 6,147
Measuring the thickness of the human cerebral cortex from magnetic resonance images
Fischl, B. R., & Dale, A. M. (2000) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.200033797 · Cited by 5,995
Harold, D., Abraham, R., Hollingworth, P., Sims, R., Gerrish, A., Hamshere, M. L., Pahwa, J. S., Moskvina, V., Dowzell, K., Williams, A., et al. (2009) · Nature Genetics · doi:10.1038/ng.440 · Cited by 3,326
More powerful procedures for multiple significance testing
Hochberg, Y., & Benjamini, Y. (1990) · Statistics in Medicine · doi:10.1002/sim.4780090710 · Cited by 2,715
Cited by
Sorted by citations
Initiative, T. A. D. N., Hollingworth, P., CHARGE consortium, EADI1 consortium, Harold, D., Sims, R., Gerrish, A., Lambert, J.-C., Carrasquillo, M. M., Abraham, R., et al. (2011) · Nature Genetics · doi:10.1038/ng.803 · Cited by 1,997
Alzheimer’s Disease Risk Genes and Mechanisms of Disease Pathogenesis
Karch, C. M., & Goate, A. M. (2015) · Biological Psychiatry · doi:10.1016/j.biopsych.2014.05.006 · Cited by 1,357
Molecular and cellular mechanisms underlying the pathogenesis of Alzheimer’s disease
Guo, T., Zhang, D., Zeng, Y., Huang, T. Y., Xu, H., & Zhao, Y. (2020) · Molecular Neurodegeneration · doi:10.1186/s13024-020-00391-7 · Cited by 994
The Alzheimer's Disease Neuroimaging Initiative: A review of papers published since its inception
Weiner, M. W., Veitch, D. P., Aisen, P. S. S., Beckett, L. A., Cairns, N. J., Green, R. C., Harvey, D. J., Jack, C. R., Jagust, W. J., Liu, E., et al. (2013) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2013.05.1769 · Cited by 1,033
The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data
the Alzheimer’s Disease Neuroimaging Initiative, E. C., Thompson, P. M., Stein, J. L., Medland, S. E., Hibar, D. P., Vasquez, A. A., Renteria, M. E., Toro, R., Jahanshad, N., Schumann, G., et al. (2014) · Brain Imaging and Behavior · doi:10.1007/s11682-013-9269-5 · Cited by 838
The multiplex model of the genetics of Alzheimer's disease
Sims, R., Hill, M., & Williams, J. (2020) · Nature Neuroscience · doi:10.1038/s41593-020-0599-5 · Cited by 466
The Alzheimer's Disease Neuroimaging Initiative: A review of papers published since its inception
Weiner, M. W., Veitch, D. P., Aisen, P. S. S., Beckett, L. A., Cairns, N. J., Green, R. C., Harvey, D. J., Jack, C. R., Jagust, W. J., Liu, E., et al. (2011) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2011.09.172 · Cited by 497
Alzheimer’s Disease Genetics: From the Bench to the Clinic
Karch, C. M., Cruchaga, C., & Goate, A. M. (2014) · Neuron · doi:10.1016/j.neuron.2014.05.041 · Cited by 473
Clusterin in Alzheimer’s Disease: Mechanisms, Genetics, and Lessons From Other Pathologies
Foster, E. M., Dangla-Valls, A., Lovestone, S., Ribe, E. M., & Buckley, N. J. (2019) · Frontiers in Neuroscience · doi:10.3389/fnins.2019.00164 · Cited by 381
Nelson, P. T., Head, E., Schmitt, F. A., Davis, P. R., Neltner, J. H., Jicha, G. A., Abner, E. L., Smith, C. D., Van Eldik, L. J., Kryscio, R. J., et al. (2011) · Acta Neuropathologica · doi:10.1007/s00401-011-0826-y · Cited by 365
Weiner, M. W., Veitch, D. P., Aisen, P. S., Beckett, L. A., Cairns, N. J., Cedarbaum, J., Green, R. C., Harvey, D., Jack, C. R., Jagust, W., et al. (2015) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2014.11.001 · Cited by 348
Doens, D., & Fernández, P. L. (2014) · Journal of Neuroinflammation · doi:10.1186/1742-2094-11-48 · Cited by 348
Genetic insights in Alzheimer's disease
Bettens, K., Sleegers, K., & Van Broeckhoven, C. (2013) · The Lancet Neurology · doi:10.1016/s1474-4422(12)70259-4 · Cited by 290
Alzheimer’s disease: analyzing the missing heritability
Ridge, P. G., Mukherjee, S., Crane, P. K., Kauwe, J. S. K., & Alzheimer’s Disease Genetics Consortium (2013) · PLoS ONE · doi:10.1371/journal.pone.0079771 · Cited by 328
Genes associated with Alzheimer's disease: an overview and current status
Giri, M., Lü, Y., & Zhang, M. (2016) · Clinical Interventions in Aging · doi:10.2147/cia.s105769 · Cited by 311
Variants at APOE influence risk of deep and lobar intracerebral hemorrhage
Biffi, A., Sonni, A., Anderson, C. D., D, B. M. K. M., Jagiella, J. M., Schmidt, H., Jiménez-Conde, J., Hansen, B. M., Fernández‐Cadenas, I., Cortellini, L., et al. (2010) · Annals of Neurology · doi:10.1002/ana.22134 · Cited by 287
Self-citationZhou, T., Thung, K., Zhu, X., & Shen, D. G. (2018) · Human Brain Mapping · doi:10.1002/hbm.24428 · Cited by 276
A Comprehensive Genetic Association Study of Alzheimer Disease in African Americans
Logue, M. W. (2011) · Archives of Neurology · doi:10.1001/archneurol.2011.646 · Cited by 250
Assessment of the genetic variance of late-onset Alzheimer's disease
Ridge, P. G., Hoyt, K. B., Boehme, K., Mukherjee, S., Crane, P. K., Haines, J. L., Mayeux, R., Farrer, L. A., Pericak-Vance, M. A., Schellenberg, G. D., et al. (2016) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2016.02.024 · Cited by 236
Genetics of Alzheimer’s Disease
Chouraki, V. A., & Seshadri, S. S. (2014) · Advances in genetics · doi:10.1016/b978-0-12-800149-3.00005-6 · Cited by 220
A genome-wide scan for common variants affecting the rate of age-related cognitive decline
Jager, P. L. D., Shulman, J. M., Chibnik, L. B., Keenan, B. T., Raj, T., Wilson, R. S., Yu, L., Leurgans, S. E., Tran, D., Aubin, C., et al. (2011) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2011.09.033 · Cited by 196
Self-citationBridging integrator 1 (BIN1): form, function, and Alzheimer's disease
Tan, M., Yu, J., & Tan, L. (2013) · Trends in Molecular Medicine · doi:10.1016/j.molmed.2013.06.004 · Cited by 201
Genomic variants, genes, and pathways of Alzheimer's disease: An overview
Naj, A. C., & Schellenberg, G. D. (2016) · American Journal of Medical Genetics Part B Neuropsychiatric Genetics · doi:10.1002/ajmg.b.32499 · Cited by 186
Genetic analysis of quantitative phenotypes in AD and MCI: imaging, cognition and biomarkers
Initiative, A. D. N., Shen, L., Thompson, P. M., Potkin, S. G., Bertram, L., Farrer, L. A., Foroud, T., Green, R. C., Hu, X., Huentelman, M. J., et al. (2013) · Brain Imaging and Behavior · doi:10.1007/s11682-013-9262-z · Cited by 176
APOE genotype and MRI markers of cerebrovascular disease
Schilling, S., DeStefano, A. L., Sachdev, P. S., Choi, S. H., Mather, K. A., DeCarli, C. S., Wen, W. X., Høgh, P., Raz, N., Au, R., et al. (2013) · Neurology · doi:10.1212/wnl.0b013e31829bfda4 · Cited by 180
Braskie, M. N., Jahanshad, N., Stein, J. L., Marina Barysheva, A., McMahon, K. L., de Zubicaray, G. I., Martin, N. G., Wright, M. J., Ringman, J. M., Toga, A. W., et al. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.5794-10.2011 · Cited by 175
Common Variants in Psychiatric Risk Genes Predict Brain Structure at Birth
Knickmeyer, R. C., Wang, J., Zhu, H., Geng, X., Woolson, S., Hamer, R. M., Konneker, T., Lin, W., Styner, M., & Gilmore, J. H. (2014) · Cerebral Cortex · doi:10.1093/cercor/bhs401 · Cited by 149
Tan, L., Yu, J., Zhang, W., Wu, Z., Zhang, Q., Liu, Q., Wang, W., Wang, H.-F., Ma, X., & Cui, W. (2012) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2012.08.007 · Cited by 146
Complement receptor 1 (CR1) and Alzheimer's disease
Crehan, H., Holton, P., Wray, S., Pocock, J., Guerreiro, R., & Hardy, J. (2012) · Immunobiology · doi:10.1016/j.imbio.2011.07.017 · Cited by 129
Sabuncu, M. R., Buckner, R. L., Smoller, J. W., Lee, P. H., Fischl, B. R., & Sperling, R. A. (2011) · Cerebral Cortex · doi:10.1093/cercor/bhr348 · Cited by 134
The genetic landscape of Alzheimer disease
Carmona, S., Hardy, J., & Guerreiro, R. J. (2018) · Handbook of clinical neurology · doi:10.1016/b978-0-444-64076-5.00026-0 · Cited by 140
Regional white matter hyperintensities: aging, Alzheimer's disease risk, and cognitive function
Birdsill, A. C., Koscik, R. L., Jonaitis, E. M., Johnson, S. C., Okonkwo, O. C., Hermann, B. P., LaRue, A. A., Sager, M. A., & Bendlin, B. B. (2013) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2013.10.072 · Cited by 126
The effect of increased genetic risk for Alzheimer's disease on hippocampal and amygdala volume
Lupton, M. K., Strike, L. T., Hansell, N. K., Wen, W. X., Mather, K. A., Armstrong, N. J., Thalamuthu, A., McMahon, K. L., de Zubicaray, G. I., Assareh, A. A., et al. (2016) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2015.12.023 · Cited by 125
Genetic architecture of Alzheimer's disease
Neuner, S. M., TCW, J., & Goate, A. M. (2020) · Neurobiology of Disease · doi:10.1016/j.nbd.2020.104976 · Cited by 126
Genome-wide association study of Alzheimer's disease with psychotic symptoms
Hollingworth, P., Sweet, R. A., Sims, R., Harold, D. H., Russo, G., Abraham, R., Stretton, A., Jones, N., Gerrish, A., Chapman, J., et al. (2011) · Molecular Psychiatry · doi:10.1038/mp.2011.125 · Cited by 123
Meda, S. A., Narayanan, B., Liu, J., Perrone-Bizzozero, N. I., Stevens, M. C., Calhoun, V. D., Glahn, D. C., Shen, L., Risacher, S. L., Saykin, A. J., et al. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.12.076 · Cited by 115
The Role of PICALM in Alzheimer’s Disease
Xu, W., Tan, L., & Yu, J. (2014) · Molecular Neurobiology · doi:10.1007/s12035-014-8878-3 · Cited by 124
Associations of the Top 20 Alzheimer Disease Risk Variants With Brain Amyloidosis
Apostolova, L. G., Risacher, S. L., Duran, T., Stage, E., Goukasian, N., West, J. D., Do, T. M., Grotts, J. F., Wilhalme, H. M., Nho, K. T., et al. (2018) · JAMA Neurology · doi:10.1001/jamaneurol.2017.4198 · Cited by 130
The BIN1 rs744373 SNP is associated with increased tau-PET levels and impaired memory
Franzmeier, N., Rubinski, A., Neitzel, J., Ewers, M., (ADNI), T. A. D. N. I., Weiner, M. W., Aisen, P., Petersen, R., Jack, C. R., Jagust, W., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-09564-5 · Cited by 109
Stilling, R. M., Benito, E., Barth, J., Gertig, M., Capece, V., Burckhardt, S., Bonn, S., & Fischer, A. (2014) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2014.00373 · Cited by 115
Devan, W. J., Falcone, G. J., Anderson, C. D., Jagiella, J. M., Schmidt, H., Hansen, B. M., Jiménez-Conde, J., Steinhauer, E. G., Cuadrado‐Godia, E., Soriano‐Tárraga, C., et al. (2013) · Stroke · doi:10.1161/strokeaha.111.000089 · Cited by 110
Self-citationAlzheimer's Disease Risk Assessment Using Large-Scale Machine Learning Methods
Casanova, R., Hsu, F., Sink, K. M., Rapp, S. R., Williamson, J. D., Resnick, S. M., Espeland, M. A., & Initiative, A. D. N. (2013) · PLoS ONE · doi:10.1371/journal.pone.0077949 · Cited by 107
The Declining Infrastructure of the Aging Brain
Salat, D. H. (2011) · Brain Connectivity · doi:10.1089/brain.2011.0056 · Cited by 116
PICALM and Alzheimer’s Disease: An Update and Perspectives
Ando, K., Nagaraj, S., Küçükali, F., de Fisenne, M.-A., Kosa, A.-C., Doeraene, E., Lopez Gutierrez, L., Brion, J.-P., & Leroy, K. (2022) · Cells · doi:10.3390/cells11243994 · Cited by 104
Genotype patterns atPICALM, CR1, BIN1, CLU, andAPOEgenes are associated with episodic memory
Barral, S., Bird, T. D., Goate, A., Farlow, M. R., Diaz-Arrastia, R. R., Bennett, D. A. A., Graff‐Radford, N. R., Boeve, B. F., Sweet, R. A., Stern, Y., et al. (2012) · Neurology · doi:10.1212/wnl.0b013e3182553c48 · Cited by 106
Association of Alzheimer's disease GWAS loci with MRI markers of brain aging
Chauhan, G., Adams, H. H. H., Bis, J. C., Weinstein, G., Yu, L., Töglhofer, A. M., Smith, A. V., van der Lee, S. J., Gottesman, R. F., Thomson, R. J., et al. (2015) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2014.12.028 · Cited by 98
Foley, S. F., Tansey, K. E., Caseras, X., Lancaster, T. M., Bracht, T., Parker, G. D., Hall, J., Williams, J. H., & Linden, D. E. J. (2016) · Biological Psychiatry · doi:10.1016/j.biopsych.2016.02.033 · Cited by 98
Evaluation of a Genetic Risk Score to Improve Risk Prediction for Alzheimer’s Disease
Chouraki, V., for the International Genomics of Alzheimer’s Project, Reitz, C., Maury, F., Bis, J. C., Bellenguez, C., Yu, L., Jakobsdottir, J., Mukherjee, S., Adams, H. H., et al. (2016) · Journal of Alzheimer's Disease · doi:10.3233/jad-150749 · Cited by 98
Genetic variation at CR1 increases risk of cerebral amyloid angiopathy
Biffi, A., Shulman, J. M., Jagiella, J. M., Cortellini, L., Ayres, A. M., Schwab, K. M., Brown, D. L., Silliman, S. L., Selim, M. H., Worrall, B. B., et al. (2012) · Neurology · doi:10.1212/wnl.0b013e3182452b40 · Cited by 99
Self-citationStocker, H. R., Möllers, T., Perna, L., & Brenner, H. (2018) · Translational Psychiatry · doi:10.1038/s41398-018-0221-8 · Cited by 102
Genetics of Alzheimer’s Disease
Ridge, P. G., Ebbert, M., & Kauwe, J. S. K. (2013) · BioMed Research International · doi:10.1155/2013/254954 · Cited by 104
An Overview of Genome-Wide Association Studies in Alzheimer’s Disease
Shen, L., & Jia, J. (2016) · Neuroscience Bulletin · doi:10.1007/s12264-016-0011-3 · Cited by 93
A coding variant in CR1 interacts with APOE-ɛ4 to influence cognitive decline
Keenan, B. T., Shulman, J. M., Chibnik, L. B., Raj, T., Tran, D., Sabuncu, M. R., Initiative, T. A. D. N., Allen, A. N., Corneveaux, J. J., Hardy, J., et al. (2012) · Human Molecular Genetics · doi:10.1093/hmg/dds054 · Cited by 97
Silver, M. J., Janoušová, E., Hua, X., Thompson, P. M., & Montana, G. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.08.002 · Cited by 86
Zhu, X., Yu, J., Jiang, T., Wang, P., Cao, L., & Tan, L. (2014) · Molecular Neurobiology · doi:10.1007/s12035-014-8723-8 · Cited by 89
Microglia, Alzheimer's Disease, and Complement
Crehan, H., Hardy, J., & Pocock, J. M. (2012) · International Journal of Alzheimer s Disease · doi:10.1155/2012/983640 · Cited by 85
Genome-wide analysis of genetic predisposition to Alzheimer’s disease and related sex disparities
Nazarian, A., Yashin, A. I., & Kulminski, A. M. (2019) · Alzheimer s Research & Therapy · doi:10.1186/s13195-018-0458-8 · Cited by 82
Watanabe, T., Hikichi, Y., Willuweit, A., Shintani, Y., & Horiguchi, T. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.5659-11.2012 · Cited by 76
Lyall, D. M., Harris, S. E., Bastin, M. E., Maniega, S. M., Murray, C. L., Lutz, M. W., Saunders, A. M., Roses, A. D., Hernández, M. D. C. V., Royle, N. A., et al. (2014) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2014.01.006 · Cited by 70
Complement activation as a biomarker for Alzheimer's disease
Aiyaz, M., Lupton, M. K., Proitsi, P., Powell, J. F., & Lovestone, S. (2011) · Immunobiology · doi:10.1016/j.imbio.2011.07.023 · Cited by 69
Marini, S., Crawford, K., Morotti, A., Lee, M. J., Pezzini, A., Moomaw, C. J., Flaherty, M. L., Montaner, J., Roquer, J., Jimenez-Conde, J., et al. (2019) · JAMA Neurology · doi:10.1001/jamaneurol.2018.4519 · Cited by 68
Self-citationHarrison, T. M., Mahmood, Z., Lau, E. P., Karacozoff, A. M., Burggren, A. C., Small, G. W., & Bookheimer, S. Y. (2016) · eNeuro · doi:10.1523/eneuro.0098-16.2016 · Cited by 67
Evaluation of late-onset Alzheimer disease genetic susceptibility risks in a Canadian population
Omoumi, A., Fok, A., Greenwood, T., Sadovnick, A. D., Feldman, H., & Hsiung, G. R. (2013) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2013.09.025 · Cited by 64
Tan, L., Wang, H.-F., Tan, M., Tan, C., Zhu, X., Miao, D., Yu, W.-J., Jiang, T., Tan, L., Yu, J., et al. (2016) · Scientific Reports · doi:10.1038/srep26027 · Cited by 66
Genetic Analysis of Cortical Thickness and Fractional Anisotropy of Water Diffusion in the Brain
Kochunov, P., Glahn, D. C., Nichols, T. E., Winkler, A. M., Hong, E. L., Holcomb, H. H., Stein, J. L., Thompson, P. M., Curran, J. E., Carless, M. A., et al. (2011) · Frontiers in Neuroscience · doi:10.3389/fnins.2011.00120 · Cited by 61
From Polygenic Scores to Precision Medicine in Alzheimer’s Disease: A Systematic Review
Harrison, J. R., Mistry, S., Muskett, N., & Escott‐Price, V. (2020) · Journal of Alzheimer s Disease · doi:10.3233/jad-191233 · Cited by 66
Replication of BIN1 Association with Alzheimer's Disease and Evaluation of Genetic Interactions
Carrasquillo, M. M., Belbin, O., Hunter, T. A., Ma, L., Bisceglio, G. D., Zou, F., Crook, J. E., Pankratz, V. S., Sando, S. B., Aasly, J. O., et al. (2011) · Journal of Alzheimer s Disease · doi:10.3233/jad-2011-101932 · Cited by 60
Neuroimaging Measures as Endophenotypes in Alzheimer′s Disease
Braskie, M. N., Ringman, J. M., & Thompson, P. M. (2011) · International Journal of Alzheimer s Disease · doi:10.4061/2011/490140 · Cited by 62
A genome-wide association study of brain lesion distribution in multiple sclerosis
Gourraud, P., Sdika, M., Khankhanian, P., Henry, R. G., Beheshtian, A., Matthews, P. M., Hauser, S. L., Oksenberg, J. R., Pelletier, D., & Baranzini, S. E. (2013) · Brain · doi:10.1093/brain/aws363 · Cited by 58
Olgiati, P., Politis, A. M., Papadimitriou, G. N., Ronchi, D. D., & Serretti, A. (2011) · International Journal of Alzheimer s Disease · doi:10.4061/2011/832379 · Cited by 58
Porter, T., Burnham, S. C., Milicic, L., Savage, G. R., Maruff, P. T., Lim, Y. Y., Li, Q.-X., Ames, D. J., Masters, C. L., Rainey‐Smith, S. R., et al. (2018) · Journal of Alzheimer s Disease · doi:10.3233/jad-180713 · Cited by 59
Wang, H.-F., Alzheimer’s, D. N. I., Wan, Y., Hao, X., Cao, L., Zhu, X., Jiang, T., Tan, M., Tan, L., Zhang, D., et al. (2016) · Journal of Alzheimer s Disease · doi:10.3233/jad-150972 · Cited by 59
Dong, H. K., Gim, J., Yeo, S. H., & Kim, H. (2016) · Gene · doi:10.1016/j.gene.2016.10.022 · Cited by 57
Zhang, X., Yu, J., Li, J., Wang, C., Tan, L., Liu, B., & Jiang, T. (2015) · Neuropsychopharmacology · doi:10.1038/npp.2015.30 · Cited by 57
A Longitudinal Imaging Genetics Study of Neuroanatomical Asymmetry in Alzheimer’s Disease
Wachinger, C., Nho, K. T., Saykin, A. J., Reuter, M., & Rieckmann, A. (2018) · Biological Psychiatry · doi:10.1016/j.biopsych.2018.04.017 · Cited by 53
Modifiable cardiovascular risk factors and genetics for targeted prevention of dementia
Rasmussen, I. J., & Frikke‐Schmidt, R. (2023) · European Heart Journal · doi:10.1093/eurheartj/ehad293 · Cited by 55
A Focus on Structural Brain Imaging in the Alzheimer’s Disease Neuroimaging Initiative
Braskie, M. N., & Thompson, P. M. (2013) · Biological Psychiatry · doi:10.1016/j.biopsych.2013.11.020 · Cited by 56
DNA methylation in neurodegenerative disorders: a missing link between genome and environment?
Iraola‐Guzmán, S., Estivill, X., & Rabionet, R. (2011) · Clinical Genetics · doi:10.1111/j.1399-0004.2011.01673.x · Cited by 52
Su, F., Shu, H., Ye, Q., Wang, Z., Xie, C., Yuan, B., Zhang, Z., & Bai, F. (2016) · NeuroImage Clinical · doi:10.1016/j.nicl.2016.12.009 · Cited by 52
Predicting white matter integrity from multiple common genetic variants
Kohannim, O., Jahanshad, N., Braskie, M. N., Stein, J. L., Chiang, M.-C., Reese, A. H., Hibar, D. P., Toga, A. W., McMahon, K. L., de Zubicaray, G. I., et al. (2012) · Neuropsychopharmacology · doi:10.1038/npp.2012.49 · Cited by 50
Mirabnahrazam, G., Initiative, T. A. D. N., Ma, D., Lee, S., Popuri, K., Lee, H., Cao, J., Wang, L., Galvin, J. E., & Beg, M. F. (2022) · Journal of Alzheimer's Disease · doi:10.3233/jad-220021 · Cited by 50
Common variants in ABCA7 and MS4A6A are associated with cortical and hippocampal atrophy
Ramirez, L. M., Goukasian, N., Porat, S., Hwang, K., Eastman, J. A., Hurtz, S., Wang, B., Vang, N., Sears, R., Klein, E., et al. (2015) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2015.10.037 · Cited by 51
HENA, heterogeneous network-based data set for Alzheimer’s disease
Sügis, E., Dauvillier, J., Leontjeva, A., Adler, P., Hindie, V., Moncion, T., Collura, V., Daudin, R., Loe-Mie, Y., Hérault, Y., et al. (2019) · Scientific Data · doi:10.1038/s41597-019-0152-0 · Cited by 50
Impact of late-onset Alzheimer’s genetic risk factors on beta-amyloid endocytic production
Almeida, C. G., Mirfakhar, F. S., Perdigão, C., & Burrinha, T. (2018) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-018-2825-9 · Cited by 53
Stage, E., Duran, T., Risacher, S. L., Goukasian, N., Do, T. M., West, J. D., Wilhalme, H. M., Nho, K. T., Phillips, M. L., Elashoff, D. A., et al. (2016) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1016/j.dadm.2016.12.003 · Cited by 51
Multimodal characterization of older APOE2 carriers reveals selective reduction of amyloid load
Grothe, M. J., Villeneuve, S., Dyrba, M., Bartrés‐Faz, D., Wirth, M., Initiative, A. D. N., Initiative, A. D. N., Weiner, M. W., Aisen, P., Weiner, M. W., et al. (2017) · Neurology · doi:10.1212/wnl.0000000000003585 · Cited by 47
Grünblatt, E., Hauser, T. U., & Walitza, S. (2014) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2014.07.003 · Cited by 45
Alzheimer’s Disease: From Genetic Variants to the Distinct Pathological Mechanisms
Sun, Q., Xie, N., Tang, B., Li, R., & Shen, Y. (2017) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2017.00319 · Cited by 46
A Deep Generative–Discriminative Learning for Multimodal Representation in Imaging Genetics
Ko, W., Jung, W., Jeon, E., & Suk, H. (2022) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2022.3162870 · Cited by 44
Structural Neuroimaging Genetics Interactions in Alzheimer’s Disease
Moon, S. W., Dinov, I. D., Kim, J., Zamanyan, A., Hobel, S., Thompson, P. M., Toga, A. W., & Initiative, A. F. T. A. D. N. (2015) · Journal of Alzheimer s Disease · doi:10.3233/jad-150335 · Cited by 43
State of Play in Alzheimer’s Disease Genetics
Zhu, J.-B., Tan, C., Tan, L., & Yu, J. (2017) · Journal of Alzheimer s Disease · doi:10.3233/jad-170062 · Cited by 44
Whitehouse, I. J., Miners, J. S., Glennon, E. B. C., Kehoe, P. G., Love, S., Kellett, K. A. B., & Hooper, N. M. (2013) · PLoS ONE · doi:10.1371/journal.pone.0059554 · Cited by 43
A review of brain imaging biomarker genomics in Alzheimer’s disease: implementation and perspectives
Li, L., Yu, X., Sheng, C., Jiang, X., Zhang, Q., Han, Y., & Jiang, J. (2022) · Translational Neurodegeneration · doi:10.1186/s40035-022-00315-z · Cited by 40
Neural hyperactivation in carriers of the Alzheimer's risk variant on the clusterin gene
Lancaster, T. M., Baird, A. L., Wolf, C., Jackson, M. C., Johnston, S. J., Donev, R., Thome, J., & Linden, D. E. J. (2011) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2011.02.001 · Cited by 41
Liu, Y., Yu, J., Wang, H.-F., Hao, X., Yang, Y.-F., Jiang, T., Zhu, X., Cao, L., Zhang, D., & Tan, L. (2014) · PLoS ONE · doi:10.1371/journal.pone.0114777 · Cited by 39
CR1 genotype is associated with entorhinal cortex volume in young healthy adults
Bralten, J., Franke, B., Vásquez, A. A., Heister, A. J. G. A. M., Brunner, H. G., Fernández, G., & Rijpkema, M. (2011) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2011.05.017 · Cited by 39
Neuroinflammatory Cytokines - The Common Thread in Alzheimer Pathogenesis
Griffin, W. S. T., Barger, S. W., & Chairman, D. P. A. V. (2011) · European Neurological Review · doi:10.17925/enr.2011.06.02.89 · Cited by 39
Arefin, A. S., Mathieson, L., Johnstone, D. M., Berretta, R. E., & Moscato, P. (2012) · PLoS ONE · doi:10.1371/journal.pone.0045535 · Cited by 39
Porter, T., Burnham, S. C., Savage, G. R., Lim, Y. Y., Maruff, P. T., Milicic, L., Peretti, M., Ames, D. J., Masters, C. L., Martins, R. N., et al. (2018) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2018.00423 · Cited by 38
Imaging Epigenetics in Alzheimer’s Disease
Lista, S., Garaci, F. G., Toschi, N., & Hampel, H. J. (2013) · Current Pharmaceutical Design · doi:10.2174/13816128113199990370 · Cited by 36
Metadata
- Authors
- Biffi, A.
- Affiliations
- Massachusetts General Hospital (US)
- Corresponding author
- Biffi, Alessandro
- ORCID
- Biffi, Alessandro
- Venue
- Archives of Neurology
- Publisher
- American Medical Association (AMA)
- Published
- 2010-06-01
- Volume
- 67
- Issue
- 6
- Pages
- 677
- ISSN
- 0003-9942 (ISSN-L)
- PMC
- PMC2956757
- OpenAlex
- W2105172870
- Cited by
- 222
- References
- 36
- Citations by year
- 2026: 2 · 2025: 5 · 2024: 6 · 2023: 5 · 2022: 12 · 2021: 9 · 2020: 14 · 2019: 17 · 2018: 14 · 2017: 9 · 2016: 28 · 2015: 14 · 2014: 19 · 2013: 26 · 2012: 14
- FWCI
- 14.83
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Archives of Neurology (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Foundation for the National Institutes of Health (U01AG024904, AG024904)
- Howard Hughes Medical Institute
- Ellison Medical Foundation
- Alzheimer's Association (AG05681, U01 AG024904)
- American Heart Association
- Bristol-Myers Squibb (U01 AG024904, AG024904)
- Eli Lilly and Company (U01 AG024904, AG024904)
- Pfizer (AG024904, U01 AG024904)
- GlaxoSmithKline (P01AG03991)
- Northern California Institute for Research and Education (U01 AG024904)
- Elan (U01 AG024904)
- Eisai (U01 AG024904, AG024904)
- National Institutes of Health (5u01ag024904-10, 6u54rr020278-06, BIRN002, U01-AG024904, AG05681, RR14075, AG024904, NS042861)
- University of California, Los Angeles
- University of California, San Diego
- National Institute on Aging (U01-AG-024904, AG021910, P30AG010129, R01AG021910, R01AG026484, AG 024904, K01AG030514, AG 05681, P 50 AG05681, P50AG005681, P01 AG0 3991, P01AG003991, AG02238, U19AG010483, U24AG021886)
- National Institute on Drug Abuse (R21DA026104)
- National Institute of Neurological Disorders and Stroke (R01NS042861, R01NS059727, R01NS052585)
- National Institute of Biomedical Imaging and Bioengineering (R01EB001550, R01EB006758, U01 AG024904, AG024904)
- National Center for Research Resources (U54-RR020278, P41-RR-14075, RR 14075, U24RR021382, R01 RR1659401A1, P41RR014075, BIRN002, R01RR016594, U01 AG024904)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Keywords
- Alzheimer's disease, genetic loci, genome-wide association study, hippocampal volume, amygdala volume, white matter lesions, cortical thickness, apolipoprotein E, complement receptor 1, PICALM, BIN1, CNTN5, mild cognitive impairment, Alzheimer's Disease Neuroimaging Initiative
- MeSH terms
- Aged, Aged, 80 and over, Alzheimer Disease, Apolipoproteins E, Canada, Cognition Disorders, Female, Genotype, Humans, Image Interpretation, Computer-Assisted, Magnetic Resonance Imaging, Male, Neuropsychological Tests, Nuclear Proteins, Risk Factors, United States, Reproducibility of Results, Cell Adhesion Molecules, Neuronal, Logistic Models, Odds Ratio, Genetic Predisposition to Disease, Polymorphism, Single Nucleotide, Tumor Suppressor Proteins, Adaptor Proteins, Signal Transducing, Genome-Wide Association Study
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review