Carlsson, Cynthia M.

Non-coding variability at the APOE locus contributes to the Alzheimer’s risk

Zhou, X., Chen, Y., Mok, K. Y., Kwok, T. C. Y., Mok, V. C. T., Guo, Q., Ip, F. C., Chen, Y., Mullapudi, N., Initiative, A. D. N., et al. (2019) · Nature Communications

Alzheimer's disease research and treatmentsDementia and Cognitive Impairment Research

Cited by 120

Subjective memory complaints, cortical thinning, and cognitive dysfunction in middle‐age adults at risk of AD

Schultz, S. A., Oh, J. M., Koscik, R. L., Dowling, N. M., Gallagher, C. L., Carlsson, C. M., Bendlin, B. B., LaRue, A., Hermann, B. P., Rowley, H. A., et al. (2015) · Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring

Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments

Cited by 117

Type 2 diabetes mellitus, dyslipidemia, and Alzheimer’s disease

Carlsson, C. M. (2010) · Journal of Alzheimer s Disease

Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments

Cited by 109

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

Alzheimer's disease research and treatmentsDementia and Cognitive Impairment Research

Cited by 109

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

Alzheimer's disease research and treatmentsDementia and Cognitive Impairment Research

Cited by 100

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

Alzheimer's disease research and treatmentsDementia and Cognitive Impairment Research

Cited by 96

CSF T-Tau/Aβ42 Predicts White Matter Microstructure in Healthy Adults at Risk for Alzheimer’s Disease

Bendlin, B. B., Carlsson, C. M., Johnson, S. C., Zetterberg, H., Blennow, K., Willette, A. A., Okonkwo, O. C., Sodhi, A., Ries, M. L., Birdsill, A. C., et al. (2012) · PLoS ONE

Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments

Cited by 91

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

Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments

Cited by 71

KLOTHO heterozygosity attenuates APOE4 -related amyloid burden in preclinical AD

Erickson, C. M., Schultz, S. A., Oh, J. M., Darst, B. F., Ma, Y., Norton, D., Betthauser, T., Gallagher, C. L., Carlsson, C. M., Bendlin, B. B., et al. (2019) · Neurology

Alzheimer's disease research and treatmentsDementia and Cognitive Impairment Research

Cited by 70

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

Alzheimer's disease research and treatmentsDementia and Cognitive Impairment Research

Cited by 57

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

Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments

Cited by 55

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

Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments

Cited by 49

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

Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals

Cited by 28

Incidental Findings from 16,400 Brain MRI Examinations of Research Volunteers

Rowley, P. A., Paukner, M. J., Eisenmenger, L. B., Field, A. S., Davidson, R. J., Johnson, S. C., Asthana, S., Chin, N. A., Prabhakaran, V., Bendlin, B. B., et al. (2023) · American Journal of Neuroradiology

Radiology practices and educationAdvanced MRI Techniques and Applications

Cited by 24

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

Alzheimer's disease research and treatmentsDementia and Cognitive Impairment Research

Cited by 19

Towards cascading genetic risk in Alzheimer’s disease

Altmann, A., Aksman, L. M., Oxtoby, N. P., Young, A. L., ADNI, Weiner, M., Aisen, P., Petersen, R., Weiner, M., Aisen, P., et al. (2024) · Brain

Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments

Cited by 18

Deep learning to quantify the pace of brain aging in relation to neurocognitive changes

Yin, C., Imms, P., Chowdhury, N. F., Chaudhari, N. N., Ping, H., Wang, H., Bogdan, P., Irimia, A., Initiative, T. A. D. N., Weiner, M., et al. (2025) · Proceedings of the National Academy of Sciences

Dementia and Cognitive Impairment ResearchAdvanced MRI Techniques and Applications

Cited by 18

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

Dementia and Cognitive Impairment ResearchMetabolomics and Mass Spectrometry Studies

Cited by 15

Consensus meta-analysis of genome-wide association studies for Alzheimer’s disease and related dementias

EADB, Bellenguez, C., Castillo Morales, A., Amin, N., van der Lee, S. J., Muntaner, M., Parveen, K., Küçükali, F., Grenier-Boley, B., Heikkinen, S., et al. (2026) · Nature Genetics

Alzheimer's disease research and treatmentsDementia and Cognitive Impairment Research

Cited by 7

Effects of Omega-3 Fatty Acid Treatment on Risk for Atrial Fibrillation: An Updated Meta-Analysis of 35 Trials including 114 592 Individuals

Abuknesha, N. R., O’Keefe, J. H., Qian, F., Tintle, N. L., Lin, Y., Sun, Y., Qian, H.-Z., Aisen, P. S., Albert, C. M., Aronson, W. J., et al. (2026) · Circulation: Arrhythmia and Electrophysiology

Fatty Acid Research and HealthAtrial Fibrillation Management and Outcomes

Cited by 1