Genetic Variation and Neuroimaging Measures in Alzheimer Disease

“Mini-mental state”

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 · see citing works

Clinical diagnosis of Alzheimer's disease: Report of the NINCDS‐ADRDA Work Group* under the auspices of Department of Health and Human Services Task Force on Alzheimer's Disease

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 · see citing works

Cortical Surface-Based Analysis

Dale, A. M., Fischl, B., & Sereno, M. I. (1999) · NeuroImage · doi:10.1006/nimg.1998.0395 · Cited by 10,910 · see citing works

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 · see citing works

Whole Brain Segmentation

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 · see citing works

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 · see citing works

Cortical Surface-Based Analysis

Fischl, B., Sereno, M. I., & Dale, A. M. (1999) · NeuroImage · doi:10.1006/nimg.1998.0396 · Cited by 6,147 · see citing works

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 5,789 · see citing works

Genome-wide association study identifies variants at CLU and PICALM associated with Alzheimer's disease

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 · see citing works

More powerful procedures for multiple significance testing

Hochberg, Y., & Benjamini, Y. (1990) · Statistics in Medicine · doi:10.1002/sim.4780090710 · Cited by 2,715 · see citing works

Alzheimer's Disease Neuroimaging Initiative (ADNI)

Petersen, R. C., Aisen, P. S., Beckett, L. A., Donohue, M. C., Gamst, A. C., Harvey, D. J., Jack, C. R., Jagust, W. J., Shaw, L. M., Toga, A. W., et al. (2010) · Neurology · doi:10.1212/wnl.0b013e3181cb3e25 · Cited by 2,572 · see citing works

Wechsler Memory Scale-Revised

Peter, H., Penzel, T., Peter, J. H., & Peter, J. G. (2025) · Springer Reference Medizin · doi:10.1007/978-3-662-65186-5_302294 · Cited by 2,278 · see citing works

Genome-wide association study identifies variants at CLU and CR1 associated with Alzheimer's disease

the European Alzheimer's Disease Initiative Investigators, Lambert, J.-C., Heath, S., Even, G., Campion, D., Sleegers, K., Hiltunen, M., Combarros, O., Zelenika, D., Bullido, M. J., et al. (2009) · Nature Genetics · doi:10.1038/ng.439 · Cited by 2,234 · see citing works

Wechsler memory scale-revised

Reynolds, C. R., & Powel, J. (1988) · Archives of Clinical Neuropsychology · doi:10.1093/arclin/3.4.397 · Cited by 2,115 · see citing works

Genetic Power Calculator: design of linkage and association genetic mapping studies of complex traits

Purcell, S., Cherny, S. S., & Sham, P. C. (2003) · Bioinformatics · doi:10.1093/bioinformatics/19.1.149 · Cited by 2,057 · see citing works

The role of apolipoprotein E in Alzheimer's disease

Kim, J., Basak, J. M., & Holtzman, D. M. (2009) · Neuron · doi:10.1016/j.neuron.2009.06.026 · Cited by 1,661 · see citing works

Common variants at 30 loci contribute to polygenic dyslipidemia

Kathiresan, S., Willer, C. J., Peloso, G. M., Demissie, S., Musunuru, K., Schadt, E. E., Kaplan, L., Bennett, D., Li, Y., Tanaka, T., et al. (2009) · Nature Genetics · doi:10.1038/ng.291 · Cited by 1,364 · see citing works

A unified approach for morphometric and functional data analysis in young, old, and demented adults using automated atlas-based head size normalization: reliability and validation against manual measurement of total intracranial volume

Buckner, R. L., Head, D. M., Parker, J. B., Fotenos, A. F., Marcus, D. S., Morris, J. C., & Snyder, A. Z. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.06.018 · Cited by 1,290 · see citing works

Diagnostic and Statistical Manual of Mental Disorders

(2018) · Sage eBooks · doi:10.4135/9781506326139.n198 · Cited by 1,243 · see citing works

Genome-wide association study identifies eight loci associated with blood pressure

Wellcome Trust Case Control Consortium, Newton-Cheh, C., Johnson, T., Gateva, V., Tobin, M. D., Bochud, M., Coin, L., Najjar, S. S., Zhao, J. H., Heath, S. C., et al. (2009) · Nature Genetics · doi:10.1038/ng.361 · Cited by 1,215 · see citing works

Genome-wide association of early-onset myocardial infarction with single nucleotide polymorphisms and copy number variants

Myocardial Infarction Genetics Consortium (2009) · Nature Genetics · doi:10.1038/ng.327 · Cited by 1,088 · see citing works

2009 Alzheimer's disease facts and figures

Alzheimer's Association (2009) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2009.03.001 · Cited by 546 · see citing works

Genetic influences on human brain structure: A review of brain imaging studies in twins

Peper, J. S., Brouwer, R. M., Boomsma, D. I., Kahn, R. S., & Pol, H. E. H. (2007) · Human Brain Mapping · doi:10.1002/hbm.20398 · Cited by 429 · see citing works

A comprehensive study of gray matter loss in patients with Alzheimer’s disease using optimized voxel-based morphometry

Karas, G. B., Burton, E. J., Rombouts, S. A. R. B., van Schijndel, R. A., O'Brien, J. T., Scheltens, P., McKeith, I. G., Williams, D. M., Ballard, C. G., & Barkhof, F. (2003) · NeuroImage · doi:10.1016/s1053-8119(03)00041-7 · Cited by 418 · see citing works

Hippocampal atrophy as a quantitative trait in a genome-wide association study identifying novel susceptibility genes for Alzheimer's disease

Potkin, S. G., Guffanti, G., Lakatos, A., Turner, J. A., Kruggel, F., Fallon, J. H., Saykin, A. J., Orro, A., Lupoli, S., Salvi, E., et al. (2009) · PLoS ONE · doi:10.1371/journal.pone.0006501 · Cited by 376 · see citing works

Hippocampal atrophy rates in Alzheimer disease

Henneman, W. J. P., Sluimer, J. D., Barnes, J., van der Flier, W. M., Sluimer, I. C., Fox, N. C., Scheltens, P., Vrenken, H., & Barkhof, F. (2009) · Neurology · doi:10.1212/01.wnl.0000344568.09360.31 · Cited by 375 · see citing works

Amphiphysin II (SH3P9; BIN1), a Member of the Amphiphysin/Rvs Family, Is Concentrated in the Cortical Cytomatrix of Axon Initial Segments and Nodes of Ranvier in Brain and around T Tubules in Skeletal Muscle

Butler, M. H., David, C., Ochoa, G.-C., Freyberg, Z., Daniell, L., Grabs, D., Cremona, O., & Camilli, P. D. (1997) · The Journal of Cell Biology · doi:10.1083/jcb.137.6.1355 · Cited by 256 · see citing works

Genetics of Alzheimer's Disease: A Centennial Review

Ertekin‐Taner, N. (2007) · Neurologic Clinics · doi:10.1016/j.ncl.2007.03.009 · Cited by 233 · see citing works

Age, Alzheimer disease, and brain structure

Raji, C. A., López, O. L., Kuller, L. H., Carmichael, O. T., & Becker, J. T. (2009) · Neurology · doi:10.1212/wnl.0b013e3181c3f293 · Cited by 230 · see citing works

The BAR Domain Proteins: Molding Membranes in Fission, Fusion, and Phagy

Ren, G., Vajjhala, P., Lee, J. S., Winsor, B., & Munn, A. (2006) · Microbiology and Molecular Biology Reviews · doi:10.1128/mmbr.70.1.37-120.2006 · Cited by 219 · see citing works

Voxel-based assessment of gray and white matter volumes in Alzheimer's disease

Guo, X., Wang, Z., Li, K., Li, Z., Qi, Z., Jin, Z. H., Yao, L., & Chen, K. (2009) · Neuroscience Letters · doi:10.1016/j.neulet.2009.10.086 · Cited by 164 · see citing works

Structural Analysis of the Human BIN1 Gene

Wechsler-Reya, R., Sakamuro, D., Zhang, J., Duhadaway, J., & Prendergast, G. C. (1997) · Journal of Biological Chemistry · doi:10.1074/jbc.272.50.31453 · Cited by 142 · see citing works

Temporoparietal MR Imaging Measures of Atrophy in Subjects with Mild Cognitive Impairment That Predict Subsequent Diagnosis of Alzheimer Disease

Desikan, R. S., Cabral, H. J., Fischl, B., Guttmann, C. R. G., Blacker, D., Hyman, B. T., Albert, M. S., & Killiany, R. J. (2009) · American Journal of Neuroradiology · doi:10.3174/ajnr.a1397 · Cited by 94 · see citing works

Association of White Matter Hyperintensity Measurements on Brain MR Imaging with Cognitive Status, Medial Temporal Atrophy, and Cardiovascular Risk Factors

Appel, J., Potter, E. L., Bhatia, N. S., Shen, Q., Zhao, W., Greig, M. T., Raj, A., Barker, W., Potter, H., Schofield, E., et al. (2009) · American Journal of Neuroradiology · doi:10.3174/ajnr.a1693 · Cited by 51 · see citing works

Human NB-2 of the Contactin Subgroup Molecules: Chromosomal Localization of the Gene (CNTN5) and Distinct Expression Pattern from Other Subgroup Members

Kamei, Y., Takeda, Y., Teramoto, K., Tsutsumi, O., Taketani, Y., & Watanabe, K. (2000) · Genomics · doi:10.1006/geno.2000.6310 · Cited by 37 · see citing works

Alzheimer's Disease Neuroimaging Initiative. Hippocampal atrophy as a quantitative trait in a genome-wide association study identifying novel susceptibility genes for Alzheimer's disease

Potkin, S. G., Guffanti, G., Lakatos, A., Ja, T., Kruggel, F., Jh, F., Saykin, A. J., Orro, A., Lupoli, S., Salvi, E., et al. (2009) · UNICA IRIS Institutional Research Information System (University of Cagliari) · Cited by 34 · see citing works

Neuroimaging to assess safety and efficacy of AD therapies

Hill, D. (2009) · Expert Opinion on Investigational Drugs · doi:10.1517/13543780903381320 · Cited by 26 · see citing works

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

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 · see citing works

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 · see citing works

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 · see citing works

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 1,011 · see citing works

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 · see citing works

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 · see citing works

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 477 · see citing works

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 · see citing works

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 · see citing works

Alzheimer’s disease is not “brain aging”: neuropathological, genetic, and epidemiological human studies

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 · see citing works

2014 Update of the Alzheimer’s Disease Neuroimaging Initiative: A review of papers published since its inception

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 · see citing works

Microglia receptors and their implications in the response to amyloid β for Alzheimer’s disease pathogenesis

Doens, D., & Fernández, P. L. (2014) · Journal of Neuroinflammation · doi:10.1186/1742-2094-11-48 · Cited by 348 · see citing works

Genetic insights in Alzheimer's disease

Bettens, K., Sleegers, K., & Broeckhoven, C. V. (2012) · The Lancet Neurology · doi:10.1016/s1474-4422(12)70259-4 · Cited by 326 · see citing works

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 · see citing works

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 · see citing works

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 278 · see citing works

Effective feature learning and fusion of multimodality data using stage‐wise deep neural network for dementia diagnosis

Zhou, T., Thung, K., Zhu, X., & Shen, D. G. (2018) · Human Brain Mapping · doi:10.1002/hbm.24428 · Cited by 270 · see citing works

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 · see citing works

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 · see citing works

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 208 · see citing works

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 192 · see citing works

Bridging 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 187 · see citing works

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 178 · see citing works

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 174 · see citing works

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 171 · see citing works

Common Alzheimer's Disease Risk Variant Within the CLU Gene Affects White Matter Microstructure in Young Adults

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 170 · see citing works

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 · see citing works

Association of GWAS‐linked loci with late‐onset Alzheimer's disease in a northern Han Chinese population

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 · see citing works

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 · see citing works

The Association between a Polygenic Alzheimer Score and Cortical Thickness in Clinically Normal Subjects

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 130 · see citing works

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 133 · see citing works

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 · see citing works

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 120 · see citing works

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 · see citing works

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 · see citing works

A large scale multivariate parallel ICA method reveals novel imaging–genetic relationships for Alzheimer's disease in the ADNI cohort

Meda, S. A., Narayanan, B., Liu, J., Perrone‐Bizzozero, N. I., Stevens, M. C. G., 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 119 · see citing works

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 119 · see citing works

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 122 · see citing works

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 · see citing works

De-regulation of gene expression and alternative splicing affects distinct cellular pathways in the aging hippocampus

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 116 · see citing works

Heritability Estimates Identify a Substantial Genetic Contribution to Risk and Outcome of Intracerebral Hemorrhage

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 · see citing works

Alzheimer'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 · see citing works

The Declining Infrastructure of the Aging Brain

Salat, D. H. (2011) · Brain Connectivity · doi:10.1089/brain.2011.0056 · Cited by 105 · see citing works

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 · see citing works

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 103 · see citing works

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 95 · see citing works

Multimodal Brain Imaging Reveals Structural Differences in Alzheimer’s Disease Polygenic Risk Carriers: A Study in Healthy Young Adults

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 95 · see citing works

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 · see citing works

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 97 · see citing works

The genetic risk of Alzheimer’s disease beyond APOE ε4: systematic review of Alzheimer’s genetic risk scores

Stocker, H. R., Möllers, T., Perna, L., & Brenner, H. (2018) · Translational Psychiatry · doi:10.1038/s41398-018-0221-8 · Cited by 96 · see citing works

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 96 · see citing works

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 90 · see citing works

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 93 · see citing works

Identification of gene pathways implicated in Alzheimer's disease using longitudinal imaging phenotypes with sparse regression

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 · see citing works

CR1 in Alzheimer's Disease

Zhu, X., Yu, J., Jiang, T., Wang, P., Cao, L., & Tan, L. (2014) · Molecular Neurobiology · doi:10.1007/s12035-014-8723-8 · Cited by 84 · see citing works

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 84 · see citing works

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 80 · see citing works

FBL2 Regulates Amyloid Precursor Protein (APP) Metabolism by Promoting Ubiquitination-Dependent APP Degradation and Inhibition of APP Endocytosis

Watanabe, T., Hikichi, Y., Willuweit, A., Shintani, Y., & Horiguchi, T. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.5659-11.2012 · Cited by 75 · see citing works

Alzheimer's disease susceptibility genes APOE and TOMM40, and brain white matter integrity in the Lothian Birth Cohort 1936

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 71 · see citing works

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 · see citing works

Association of Apolipoprotein E With Intracerebral Hemorrhage Risk by Race/Ethnicity: A Meta-analysis

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 · see citing works

An Alzheimer’s Disease Genetic Risk Score Predicts Longitudinal Thinning of Hippocampal Complex Subregions in Healthy Older Adults

Harrison, T. M., Mahmood, Z., Lau, E., Karacozoff, A. M., Burggren, A., Small, G., & Bookheimer, S. (2016) · eNeuro · doi:10.1523/eneuro.0098-16.2016 · Cited by 67 · see citing works

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 · see citing works

Effect of CLU genetic variants on cerebrospinal fluid and neuroimaging markers in healthy, mild cognitive impairment and Alzheimer’s disease cohorts

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 63 · see citing works

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 · see citing works

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 61 · see citing works

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 · see citing works

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 58 · see citing works

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 56 · see citing works

Genetics of Late‐Onset Alzheimer′s Disease: Update from the Alzgene Database and Analysis of Shared Pathways

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 57 · see citing works

Utility of an Alzheimer’s Disease Risk-Weighted Polygenic Risk Score for Predicting Rates of Cognitive Decline in Preclinical Alzheimer’s Disease: A Prospective Longitudinal Study

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 56 · see citing works

Bridging Integrator 1 (BIN1) Genotypes Mediate Alzheimer’s Disease Risk by Altering Neuronal Degeneration

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 55 · see citing works

Integrated late onset Alzheimer's disease (LOAD) susceptibility genes: Cholesterol metabolism and trafficking perspectives

Dong, H. K., Gim, J., Yeo, S. H., & Kim, H. (2016) · Gene · doi:10.1016/j.gene.2016.10.022 · Cited by 54 · see citing works

Bridging Integrator 1 (BIN1) Genotype Effects on Working Memory, Hippocampal Volume, and Functional Connectivity in Young Healthy Individuals

Zhang, X., Yu, J., Li, J., Wang, C., Tan, L., Liu, B., & Jiang, T. (2015) · Neuropsychopharmacology · doi:10.1038/npp.2015.30 · Cited by 53 · see citing works

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 · see citing works

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 54 · see citing works

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 51 · see citing works

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 · see citing works

Brain insulin resistance deteriorates cognition by altering the topological features of brain networks

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 · see citing works

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 · see citing works

Machine learning based multimodal neuroimaging genomics dementia score for predicting future conversion to alzheimer’s disease

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 · see citing works

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 49 · see citing works

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 · see citing works

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 48 · see citing works

The effect of the top 20 Alzheimer disease risk genes on gray‐matter density and FDG PET brain metabolism

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 49 · see citing works

Multimodal characterization of older APOE2 carriers reveals selective reduction of amyloid load

Grothe, M. J., Villeneuve, S., Dyrba, M., David Bartrés-faz, A., 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 · see citing works

Imaging genetics in obsessive-compulsive disorder: Linking genetic variations to alterations in neuroimaging

Grünblatt, E., Hauser, T. U., & Walitza, S. (2014) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2014.07.003 · Cited by 44 · see citing works

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 · see citing works

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 · see citing works

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 · see citing works

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 43 · see citing works

Prion Protein Is Decreased in Alzheimer's Brain and Inversely Correlates with BACE1 Activity, Amyloid-β Levels and Braak Stage

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 · see citing works

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 · see citing works

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 40 · see citing works

Association between NME8 Locus Polymorphism and Cognitive Decline, Cerebrospinal Fluid and Neuroimaging Biomarkers in Alzheimer's Disease

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 · see citing works

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 · see citing works

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 · see citing works

Unveiling Clusters of RNA Transcript Pairs Associated with Markers of Alzheimer’s Disease Progression

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 · see citing works

A Polygenic Risk Score Derived From Episodic Memory Weighted Genetic Variants Is Associated With Cognitive Decline in Preclinical Alzheimer’s Disease

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 37 · see citing works

Imaging epigenetics in Alzheimer's disease.

Lista, S., Garaci, F., Toschi, N., & Hampel, H. (2013) · Current pharmaceutical design · doi:10.2174/13816128113199990370 · Cited by 37 · see citing works

GWAS-Linked Loci and Neuroimaging Measures in Alzheimer’s Disease (P1.090)

Li, J. (2017) · Neurology · doi:10.1212/wnl.88.16_supplement.p1.090

GWAS-Linked Loci and Neuroimaging Measures in Alzheimer’s Disease

Initiative, A. D. N., Li, J., Wang, H.-F., Zhu, X., Sun, F.-R., Tan, M., Tan, C., Jiang, T., Tan, L., & Yu, J. (2016) · Molecular Neurobiology · doi:10.1007/s12035-015-9669-1 · Cited by 31 · see citing works

Multiple loci influencing hippocampal degeneration identified by genome scan

Melville, S. A., Buros, J. L., Parrado, A., Vardarajan, B. N., Logue, M. W., Shen, L., Risacher, S. L., Kim, S., Jun, G., DeCarli, C. S., et al. (2012) · Annals of Neurology · doi:10.1002/ana.23644 · Cited by 67 · see citing works

O5‐03‐04: Genome‐wide association study of Alzheimer's‐related brain MRI traits identifies several loci influencing degeneration of the hippocampus

Melville, S. A., Buros, J. L., Parrado, T., Vardarajan, B. N., Shen, L., Risacher, S. L., Alzheimer's Disease Neuroimaging Initiative (ADNI) ‐ Indiana study group, Kim, S., Jun, G., DeCarli, C. S., et al. (2012) · Alzheimer s & Dementia · doi:10.1016/j.jalz.2012.05.1984

Whole genome association study of brain-wide imaging phenotypes for identifying quantitative trait loci in MCI and AD: A study of the ADNI cohort

Shen, L., Kim, S., Risacher, S. L., Nho, K. T., Swaminathan, S., West, J. D., Foroud, T., Pankratz, N., Moore, J. H., Sloan, C., et al. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2010.01.042 · Cited by 379 · see citing works