Green, Robert C.

ABCA7 frameshift deletion associated with Alzheimer disease in African Americans

Cukier, H. N., Kunkle, B. W., Vardarajan, B. N., Rolati, S., Hamilton-Nelson, K. L., Kohli, M. A., Whitehead, P. L., Dombroski, B. A., Van Booven, D., Lang, R., et al. (2016) · Neurology Genetics

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Identification of genetic risk factors in the Chinese population implicates a role of immune system in Alzheimer’s disease pathogenesis

Zhou, X., Chen, Y., Mok, K. Y., Zhao, Q., Chen, K., Chen, Y., Hardy, J., Li, Y., Fu, A. K. Y., Guo, Q., et al. (2018) · Proceedings of the National Academy of Sciences

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Consumer Perceptions of Interactions With Primary Care Providers After Direct-to-Consumer Personal Genomic Testing

van der Wouden, C. H., Carere, D. A., Maitland-van der Zee, A. H., Ruffin, M. T., Roberts, J. S., Green, R. C., & for the Impact of Personal Genomics Study Group†* (2016) · Annals of Internal Medicine

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The Project Baseline Health Study: a step towards a broader mission to map human health

Arges, K., Assimes, T., Bajaj, V., Balu, S., Bashir, M. R., Beskow, L., Blanco, R., Califf, R., Campbell, P., Carin, L., et al. (2020) · npj Digital Medicine

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Divergent Cortical Tau Positron Emission Tomography Patterns Among Patients With Preclinical Alzheimer Disease

Young, C. B., Winer, J. R., Younes, K., Cody, K. A., Betthauser, T. J., Johnson, S. C., Schultz, A., Sperling, R. A., Greicius, M. D., Cobos, I., et al. (2022) · JAMA Neurology

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Vascular factors and risk for neuropsychiatric symptoms in Alzheimer's disease: the Cache County Study

Treiber, K. A., Lyketsos, C. G., Corcoran, C., Steinberg, M., Norton, M., Green, R. C., Rabins, P., Stein, D. M., Welsh-Bohmer, K. A., Breitner, J. C. S., et al. (2008) · International Psychogeriatrics

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GWAS of multiple neuropathology endophenotypes identifies new risk loci and provides insights into the genetic risk of dementia

Shade, L. M. P., Katsumata, Y., Abner, E. L., Aung, K. Z., Claas, S. A., Qiao, Q., Heberle, B. A., Brandon, J. A., Page, M. L., Hohman, T. J., et al. (2024) · Nature Genetics

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Staging tau pathology with tau PET in Alzheimer’s disease: a longitudinal study

Chen, S.-D., Lu, J.-Y., Li, H.-Q., Yang, Y.-X., Jiang, J.-H., Cui, M., Zuo, C.-T., Tan, L., Dong, Q., Yu, J.-T., et al. (2021) · Translational Psychiatry

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Genetic susceptibility testing versus family history–based risk assessment: Impact on perceived risk of Alzheimer disease

Larusse, S., Roberts, J. S., Marteau, T. M., Katzen, H., Linnenbringer, E. L., Barber, M., Whitehouse, P., Quaid, K., Brown, T., Green, R. C., et al. (2005) · Genetics in Medicine

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White matter abnormalities and cognition in aging and Alzheimer disease

Peter, C., Sathe, A., Shashikumar, N., Pechman, K. R., Workmeister, A. W., Jackson, T. B., Huo, Y., Mukherjee, S., Mez, J., Dumitrescu, L. C., et al. (2025) · JAMA Neurology

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KL-VS heterozygosity is associated with lower amyloid-dependent tau accumulation and memory impairment in Alzheimer’s disease

Neitzel, J., Franzmeier, N., Rubinski, A., Dichgans, M., Brendel, M., (ADNI), A. D. N. I., Weiner, M., Aisen, P., Petersen, R., Jack, C. R., et al. (2021) · Nature Communications

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Longitudinal measurement and hierarchical classification framework for the prediction of Alzheimer’s disease

Huang, M., Yang, W., Feng, Q., Chen, W., Initiative, T. A. D. N., Weiner, M. W., Aisen, P., Petersen, R., Jack, C. R., Jagust, W., et al. (2017) · Scientific Reports

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Genome‐wide association study of rate of cognitive decline in Alzheimer's disease patients identifies novel genes and pathways

Sherva, R., Gross, A., Mukherjee, S., Koesterer, R., Amouyel, P., Bellenguez, C., Dufouil, C., Bennett, D. A., Chibnik, L., Cruchaga, C., et al. (2020) · Alzheimer's & Dementia

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Multimodal Hippocampal Subfield Grading For Alzheimer’s Disease Classification

Hett, K., Ta, V.-T., Catheline, G., Tourdias, T., Manjón, J. V., Coupé, P., Initiative, A. D. N., Weiner, M. W., Aisen, P., Petersen, R., et al. (2019) · Scientific Reports

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Variants in PPP3R1 and MAPT are associated with more rapid functional decline in Alzheimer's disease: The Cache County Dementia Progression Study

Peterson, D., Munger, C., Crowley, J., Corcoran, C., Cruchaga, C., Goate, A. M., Norton, M. C., Green, R. C., Munger, R. G., Breitner, J. C. S., et al. (2014) · Alzheimer's & Dementia

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Heritability of Magnetic Resonance Imaging (MRI) Traits in Alzheimer Disease Cases and Their Siblings in the MIRAGE Study

Lunetta, K. L., Erlich, P. M., T.Cuenco, K., Adrienne Cupples, L., Green, R. C., Farrer, L. A., & DeCarli, C. (2007) · Alzheimer Disease & Associated Disorders

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Perceptions of Familial Risk in those Seeking a Genetic Risk Assessment for Alzheimer's Disease

Hiraki, S., Chen, C. A., Roberts, J. S., Cupples, L. A., & Green, R. C. (2009) · Journal of Genetic Counseling

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Genetic studies of plasma analytes identify novel potential biomarkers for several complex traits

Deming, Y., Xia, J., Cai, Y., Lord, J., Del-Aguila, J. L., Fernandez, M. V., Carrell, D., Black, K., Budde, J., Ma, S., et al. (2016) · Scientific Reports

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Magnetic Resonance Imaging Traits in Siblings Discordant for Alzheimer Disease

Cuenco, K. T., Green, R. C., Zhang, J., Lunetta, K., Erlich, P. M., Cupples, L. A., Farrer, L. A., DeCarli, C., & for the MIRAGE Study Group (2008) · Journal of Neuroimaging

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Amyloid-β predominant Alzheimer’s disease neuropathologic change

Kovacs, G. G., Katsumata, Y., Wu, X., Aung, K. Z., Fardo, D. W., Forrest, S. L., Alzheimer's Disease Genetics Consortium, Bowen, J. D., Crane, P. K., Jarvik, G. P., et al. (2025) · Brain

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Circular-SWAT for deep learning based diagnostic classification of Alzheimer's disease: application to metabolome data

Jo, T., Kim, J., Bice, P., Huynh, K., Wang, T., Arnold, M., Meikle, P. J., Giles, C., Kaddurah-Daouk, R., Saykin, A. J., et al. (2023) · eBioMedicine

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