Kharaghani, A., Tio, E., Milic, M., Bennett, D., De Jager, P., Schneider, J., Sun, L., & Felsky, D. (2024). Association of whole-person eigen-polygenic risk scores with Alzheimer’s disease. HUMAN MOLECULAR GENETICS. https://doi.org/10.1093/hmg/ddae067
Hsieh, Y., Augur, Z., Arbery, M., Ashour, N., Barrett, K., Pearse, R., Tio, E., Duong, D., Felsky, D., De Jager, P., Bennett, D., Seyfried, N., & Young-Pearse, T. (2024). Person-specific differences in ubiquitin-proteasome mediated proteostasis in human neurons. ALZHEIMERS & DEMENTIA. https://doi.org/10.1002/alz.13680
Rybnicek, J., Chen, Y., Milic, M., Tio, E., Mclaurin, J., Hohman, T., De Jager, P., Schneider, J., Wang, Y., Bennett, D., Tripathy, S., Felsky, D., & Lambe, E. (2024). CHRNA5 links chandelier cells to severity of amyloid pathology in aging and Alzheimer’s disease. TRANSLATIONAL PSYCHIATRY, 14(1). https://doi.org/10.1038/s41398-024-02785-3
Tio, E., Misztal, M., & Felsky, D. (2024). Evidence for the biopsychosocial model of suicide: A review of whole person modeling studies using machine learning. FRONTIERS IN PSYCHIATRY, 14. https://doi.org/10.3389/fpsyt.2023.1294666
Abdelhack, M., Zhukovsky, P., Milic, M., Harita, S., Wainberg, M., Tripathy, S., Griffiths, J., Hill, S., & Felsky, D. (2023). Opposing brain signatures of sleep in task-based and resting-state conditions. NATURE COMMUNICATIONS, 14(1). https://doi.org/10.1038/s41467-023-43737-7
Arbabi, K., Jiang, Y., Howard, D., Nigam, A., Inoue, W., Gonzalez-Burgos, G., Felsky, D., & Tripathy, S. (2023). Investigating microglia-neuron crosstalk by characterizing microglial contamination in human and mouse patch-seq datasets. ISCIENCE, 26(8). https://doi.org/10.1016/j.isci.2023.107329
Beaupre, L., Wainberg, M., Zai, C., Milic, M., Felsky, D., Brown, G., Goldstein, B., Tripathy, S., Kennedy, J., & Gonçalves, V. (2023). Association analyses of the autosomal genome and mitochondrial DNA with accelerometry-derived sleep parameters in depressed UK biobank subjects. JOURNAL OF PSYCHIATRIC RESEARCH, 157, 152–161. https://doi.org/10.1016/j.jpsychires.2022.11.010
Chen, Y., Hunter, E., Arbabi, K., Guet-McCreight, A., Consens, M., Felsky, D., Sibille, E., & Tripathy, S. (2023). Robust differences in cortical cell type proportions across healthy human aging inferred through cross-dataset transcriptome analyses. NEUROBIOLOGY OF AGING, 125, 49–61. https://doi.org/10.1016/j.neurobiolaging.2023.01.013
Felsky, D., Santa-Maria, I., Cosacak, M., French, L., Schneider, J., Bennett, D., De Jager, P., Kizil, C., & Tosto, G. (2023). The Caribbean-Hispanic Alzheimer’s disease brain transcriptome reveals ancestry-specific disease mechanisms. NEUROBIOLOGY OF DISEASE, 176. https://doi.org/10.1016/j.nbd.2022.105938
Higginbotham, L., Dammer, E., Johnson, E., Duong, D., Yin, L., Jager, P., Bennett, D., Felsky, D., Tio, E., Lah, J., Levey, A., & Seyfried, N. (2023). Unbiased classification of the elderly human brain proteome resolves distinct clinical and pathophysiological subtypes of cognitive impairment. NEUROBIOLOGY OF DISEASE, 186. https://doi.org/10.1016/j.nbd.2023.106286
Jiang, X., Zai, C., Kennedy, K., Zou, Y., Nikolova, Y., Felsky, D., Young, L., Macintosh, B., & Goldstein, B. (2023). Association of polygenic risk for bipolar disorder with grey matter structure and white matter integrity in youth. TRANSLATIONAL PSYCHIATRY, 13(1). https://doi.org/10.1038/s41398-023-02607-y
Jiang, X., Zai, C., Sultan, A., Dimick, M., Nikolova, Y., Felsky, D., Macintosh, B., & Goldstein, B. (2023). Association of polygenic risk for bipolar disorder with resting-state network functional connectivity in youth with and without bipolar disorder. EUROPEAN NEUROPSYCHOPHARMACOLOGY, 77, 38–52. https://doi.org/10.1016/j.euroneuro.2023.08.503
Kerrebijn, I., Wainberg, M., Zhukovsky, P., Chen, Y., Davie, M., Felsky, D., & Tripathy, S. (2023). Case-control virtual histology elucidates cell types associated with cortical thickness differences in Alzheimer’s disease. NEUROIMAGE, 276. https://doi.org/10.1016/j.neuroimage.2023.120177
Misztal, M., Tio, E., Mohan, A., & Felsky, D. (2023). Interactions between genetic risk for 21 neurodevelopmental and psychiatric disorders and sport activity on youth mental health. PSYCHIATRY RESEARCH, 330. https://doi.org/10.1016/j.psychres.2023.115550
Saperia, S., Felsky, D., Da Silva, S., Siddiqui, I., Rector, N., Remington, G., Zakzanis, K., & Foussias, G. (2023). Modeling Effort-Based Decision Making: Individual Differences in Schizophrenia and Major Depressive Disorder. BIOLOGICAL PSYCHIATRY-COGNITIVE NEUROSCIENCE AND NEUROIMAGING, 8(10). https://doi.org/10.1016/j.bpsc.2023.05.009
Tio, E., Hohman, T., Milic, M., Bennett, D., Felsky, D., & Alzheimers Dis Neuroimaging. (2023). Testing a Polygenic Risk Score for Morphological Microglial Activation in Alzheimer’s Disease and Aging. JOURNAL OF ALZHEIMERS DISEASE, 94(4), 1549–1561. https://doi.org/10.3233/JAD-230434
Wainberg, M., Zhukovsky, P., Hill, S., Felsky, D., Voineskos, A., Kennedy, S., Hawco, C., & Tripathy, S. (2023). Symptom dimensions of major depression in a large community-based cohort. PSYCHOLOGICAL MEDICINE, 53(2), 438–445. https://doi.org/10.1017/S0033291721001707
Yang, M., Matan-Lithwick, S., Wang, Y., De Jager, P., Bennett, D., & Felsky, D. (2023). Multi-omic integration via similarity network fusion to detect molecular subtypes of ageing. BRAIN COMMUNICATIONS, 5(2). https://doi.org/10.1093/braincomms/fcad110
Consens, M., Chen, Y., Menon, V., Wang, Y., Schneider, J., De Jager, P., Bennett, D., Tripathy, S., & Felsky, D. (2022). Bulk and Single-Nucleus Transcriptomics Highlight Intra-Telencephalic and Somatostatin Neurons in Alzheimer’s Disease. FRONTIERS IN MOLECULAR NEUROSCIENCE, 15. https://doi.org/10.3389/fnmol.2022.903175
Gao, Y., Felsky, D., Reyes-Dumeyer, D., Sariya, S., Rentería, M., Ma, Y., Klein, H., Cosentino, S., De Jager, P., Bennett, D., Brickman, A., Schellenberg, G., Mayeux, R., Barral, S., & CHAP UKBB ADNI ROSMAP LLFS NIA-LOA. (2022). Integration of GWAS and brain transcriptomic analyses in a multiethnic sample of 35,245 older adults identifies DCDC2 gene as predictor of episodic memory maintenance. ALZHEIMERS & DEMENTIA, 18(10), 1797–1811. https://doi.org/10.1002/alz.12524
Hallacli, E., Kayatekin, C., Nazeen, S., Wang, X., Sheinkopf, Z., Sathyakumar, S., Sarkar, S., Jiang, X., Dong, X., Di Maio, R., Wang, W., Keeney, M., Felsky, D., Sandoe, J., Vahdatshoar, A., Udeshi, N., Mani, D., Carr, S., Lindquist, S., … Khurana, V. (2022). The Parkinson’s disease protein alpha-synuclein is a modulator of processing bodies and mRNA stability. CELL, 185(12), 2035-+. https://doi.org/10.1016/j.cell.2022.05.008
Ortiz, A., Sanches, M., Abdelhack, M., Schwaiger, T., Wainberg, M., Tripathy, S., Felsky, D., Mulsant, B., & Fiedorowicz, J. (2022). Sex-specific associations between lifetime diagnosis of bipolar disorder and cardiovascular disease: A cross-sectional analysis of 257,673 participants from the UK Biobank. JOURNAL OF AFFECTIVE DISORDERS, 319, 663–669. https://doi.org/10.1016/j.jad.2022.09.048
Somé, N., Wells, S., Felsky, D., Hamilton, H., Ali, S., Elton-Marshall, T., & Rehm, J. (2022). Self-reported mental health during the COVID-19 pandemic and its association with alcohol and cannabis use: A latent class analysis. BMC PSYCHIATRY, 22(1). https://doi.org/10.1186/s12888-022-03917-z
Zhukovsky, P., Wainberg, M., Milic, M., Tripathy, S., Mulsant, B., Felsky, D., & Voineskos, A. (2022). Multiscale neural signatures of major depressive, anxiety, and stress-related disorders. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 119(23). https://doi.org/10.1073/pnas.2204433119
Hueniken, K., Somé, N., Abdelhack, M., Taylor, G., Marshall, T., Wickens, C., Hamilton, H., Wells, S., & Felsky, D. (2021). Machine Learning-Based Predictive Modeling of Anxiety and Depressive Symptoms During 8 Months of the COVID-19 Global Pandemic: Repeated Cross-sectional Survey Study. JMIR MENTAL HEALTH, 8(11). https://doi.org/10.2196/32876
Lagomarsino, V., Pearse, R., Liu, L., Hsieh, Y., Fernandez, M., Vinton, E., Paull, D., Felsky, D., Tasaki, S., Gaiteri, C., Vardarajan, B., Lee, H., Muratore, C., Benoit, C., Chou, V., Fancher, S., He, A., Merchant, J., Duong, D., … Young-Pearse, T. (2021). Stem cell-derived neurons reflect features of protein networks, neuropathology, and cognitive outcome of their aged human donors. NEURON, 109(21), 3402-+. https://doi.org/10.1016/j.neuron.2021.08.003
Ma, Y., Dammer, E., Felsky, D., Duong, D., Klein, H., White, C., Zhou, M., Logsdon, B., McCabe, C., Xu, J., Wang, M., Wingo, T., Lah, J., Zhang, B., Schneider, J., Allen, M., Wang, X., Ertekin-Taner, N., Seyfried, N., … De Jager, P. (2021). Atlas of RNA editing events affecting protein expression in aged and Alzheimer’s disease human brain tissue. NATURE COMMUNICATIONS, 12(1). https://doi.org/10.1038/s41467-021-27204-9
Patrick, E., Olah, M., Taga, M., Klein, H., Xu, J., White, C., Felsky, D., Agrawal, S., Gaiteri, C., Chibnik, L., Mostafavi, S., Schneider, J., Bennett, D., Bradshaw, E., & De Jager, P. (2021). A cortical immune network map identifies distinct microglial transcriptional programs associated with β-amyloid and Tau pathologies. TRANSLATIONAL PSYCHIATRY, 11(1). https://doi.org/10.1038/s41398-020-01175-9
Roostaei, T., Klein, H., Ma, Y., Felsky, D., Kivisäkk, P., Connor, S., Kroshilina, A., Yung, C., Kaskow, B., Shao, X., Rhead, B., Ordovas, J., Absher, D., Arnett, D., Liu, J., Patsopoulos, N., Barcellos, L., Weiner, H., & De Jager, P. (2021). Proximal and distal effects of genetic susceptibility to multiple sclerosis on the T cell epigenome. NATURE COMMUNICATIONS, 12(1). https://doi.org/10.1038/s41467-021-27427-w
Sariya, S., Felsky, D., Reyes-Dumeyer, D., Lali, R., Lantigua, R., Vardarajan, B., Jiménez-Velázquez, I., Haines, J., Shellenberg, G., Pericak-Vance, M., Paré, G., Mayeux, R., & Tosto, G. (2021). Polygenic Risk Score for Alzheimer’s Disease in Caribbean Hispanics. ANNALS OF NEUROLOGY, 90(3), 366–376. https://doi.org/10.1002/ana.26131
Wainberg, M., Jones, S., Beaupre, L., Hill, S., Felsky, D., Rivas, M., Lim, A., Ollila, H., & Tripathy, S. (2021). Association of accelerometer-derived sleep measures with lifetime psychiatric diagnoses: A cross-sectional study of 89,205 participants from the UK Biobank. PLOS MEDICINE, 18(10). https://doi.org/10.1371/journal.pmed.1003782
Wainberg, M., Kloiber, S., Diniz, B., McIntyre, R., Felsky, D., & Tripathy, S. (2021). Clinical laboratory tests and five-year incidence of major depressive disorder: A prospective cohort study of 433,890 participants from the UK Biobank. TRANSLATIONAL PSYCHIATRY, 11(1). https://doi.org/10.1038/s41398-021-01505-5
Patel, S., Howard, D., Man, A., Schwartz, D., Jee, J., Felsky, D., Pausova, Z., Paus, T., & French, L. (2020). Donor specific transcriptomic analysis of Alzheimer’s disease associated hypometabolism highlights a unique donor, ribosomal proteins and microglia. ENEURO, 7(6). https://doi.org/10.1523/ENEURO.0255-20.2020
Tang, M., Alaniz, M., Felsky, D., Vardarajan, B., Reyes-Dumeyer, D., Lantigua, R., Medrano, M., Bennett, D., de Jager, P., Mayeux, R., Santa-Maria, I., & Reitz, C. (2020). Synonymous variants associated with Alzheimer disease in multiplex families. NEUROLOGY-GENETICS, 6(4). https://doi.org/10.1212/NXG.0000000000000450
Yang, H., White, C., Klein, H., Yu, L., Gaiteri, C., Ma, Y., Felsky, D., Mostafavi, S., Petyuk, V., Sperling, R., Ertekin-Taner, N., Schneider, J., Bennett, D., & De Jager, P. (2020). Genetics of Gene Expression in the Aging Human Brain Reveal TDP-43 Proteinopathy Pathophysiology. NEURON, 107(3), 496-+. https://doi.org/10.1016/j.neuron.2020.05.010
Felsky, D., Roostaei, T., Nho, K., Risacher, S., Bradshaw, E., Petyuk, V., Schneider, J., Saykin, A., Bennett, D., & De Jager, P. (2019). Neuropathological correlates and genetic architecture of microglial activation in elderly human brain. NATURE COMMUNICATIONS, 10. https://doi.org/10.1038/s41467-018-08279-3
Ng, B., Casazza, W., Patrick, E., Tasaki, S., Novakovsky, G., Felsky, D., Ma, Y., Bennett, D., Gaiteri, C., De Jager, P., & Mostafavi, S. (2019). Using Transcriptomic Hidden Variables to Infer Context-Specific Genotype Effects in the Brain. AMERICAN JOURNAL OF HUMAN GENETICS, 105(3), 562–572. https://doi.org/10.1016/j.ajhg.2019.07.016
Stojanovski, S., Felsky, D., Viviano, J., Shahab, S., Bangali, R., Burton, C., Devenyi, G., O’Donnell, L., Szatmari, P., Chakravarty, M., Ameis, S., Schachar, R., Voineskos, A., & Wheeler, A. (2019). Polygenic Risk and Neural Substrates of Attention-Deficit/Hyperactivity Disorder Symptoms in Youths With a History of Mild Traumatic Brain Injury. BIOLOGICAL PSYCHIATRY, 85(5), 408–416. https://doi.org/10.1016/j.biopsych.2018.06.024
De Jager, P., Ma, Y., McCabe, C., Xu, J., Vardarajan, B., Felsky, D., Klein, H., White, C., Peters, M., Lodgson, B., Nejad, P., Tang, A., Mangravite, L., Yu, L., Gaiteri, C., Mostafavi, S., Schneider, J., & Bennett, D. (2018). A multi-omic atlas of the human frontal cortex for aging and Alzheimer’s disease research. SCIENTIFIC DATA, 5. https://doi.org/10.1038/sdata.2018.142
Felsky, D., Patrick, E., Schneider, J., Mostafavi, S., Gaiteri, C., Patsopoulos, N., Bennett, D., & De Jager, P. (2018). Polygenic analysis of inflammatory disease variants and effects on microglia in the aging brain. MOLECULAR NEURODEGENERATION, 13. https://doi.org/10.1186/s13024-018-0272-6
Roostaei, T., Felsky, D., Nazeri, A., De Jager, P., Schneider, J., Bennett, D., Voineskos, A., & Alzheimer’s Dis Neuroimaging Init. (2018). Genetic influence of plasma homocysteine on Alzheimer’s disease. NEUROBIOLOGY OF AGING, 62. https://doi.org/10.1016/j.neurobiolaging.2017.09.033
Wheeler, A., Felsky, D., Viviano, J., Stojanovski, S., Ameis, S., Szatmari, P., Lerch, J., Chakravarty, M., & Voineskos, A. (2018). BDNF-Dependent Effects on Amygdala-Cortical Circuitry and Depression Risk in Children and Youth. CEREBRAL CORTEX, 28(5), 1760–1770. https://doi.org/10.1093/cercor/bhx086
Felsky, D., Xu, J., Chibnik, L., Schneider, J., Knight, J., Kennedy, J., Bennett, D., De Jager, P., Voineskos, A., & Alzheimer’s Dis Neuroimaging. (2017). Genetic epistasis regulates amyloid deposition in resilient aging. ALZHEIMERS & DEMENTIA, 13(10), 1107–1116. https://doi.org/10.1016/j.jalz.2017.01.027
Roostaei, T., Nazeri, A., Felsky, D., De Jager, P., Schneider, J., Pollock, B., Bennett, D., Voineskos, A., & ADNI. (2017). Genome-wide interaction study of brain beta-amyloid burden and cognitive impairment in Alzheimer’s disease. MOLECULAR PSYCHIATRY, 22(2), 287–295. https://doi.org/10.1038/mp.2016.35
White, C., Yang, H., Yu, L., Chibnik, L., Dawe, R., Yang, J., Klein, H., Felsky, D., Ramos-Miguel, A., Arfanakis, K., Honer, W., Sperling, R., Schneider, J., Bennett, D., & De Jager, P. (2017). Identification of genes associated with dissociation of cognitive performance and neuropathological burden: Multistep analysis of genetic, epigenetic, and transcriptional data. PLOS MEDICINE, 14(4). https://doi.org/10.1371/journal.pmed.1002287
Brown, E., Graff-Guerrero, A., Houle, S., Mizrahi, R., Wilson, A., Pollock, B., Mulsant, B., Felsky, D., Voineskos, A., Tang-Wai, D., Verhoeff, N., Freedman, M., Ismail, Z., & Chow, T. (2016). Amyloid deposition in semantic dementia: A positron emission tomography study. INTERNATIONAL JOURNAL OF GERIATRIC PSYCHIATRY, 31(9), 1064–1074. https://doi.org/10.1002/gps.4423
Felsky, D., De Jager, P., Schneider, J., Arfanakis, K., Fleischman, D., Arvanitakis, Z., Honer, W., Pouget, J., Mizrahi, R., Pollock, B., Kennedy, J., Bennett, D., Voineskos, A., & Alzheimer’s Dis Neuroimaging Initi. (2016). Cerebrovascular and microglial states are not altered by functional neuroinflammatory gene variant. JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM, 36(4), 819–830. https://doi.org/10.1177/0271678X15626719
Huang, E., Zai, C., Lisoway, A., Maciukiewicz, M., Felsky, D., Tiwari, A., Bishop, J., Ikeda, M., Molero, P., Ortuno, F., Porcelli, S., Samochowiec, J., Mierzejewski, P., Gao, S., Crespo-Facorro, B., Pelayo-Terán, J., Kaur, H., Kukreti, R., Meltzer, H., … Kennedy, J. (2016). Catechol-O-Methyltransferase Va1158Met Polymorphism and Clinical Response to Antipsychotic Treatment in Schizophrenia and Schizo-Affective Disorder Patients: A Meta-Analysis. INTERNATIONAL JOURNAL OF NEUROPSYCHOPHARMACOLOGY, 19(5). https://doi.org/10.1093/ijnp/pyv132
Voineskos, A., Felsky, D., Wheeler, A., Rotenberg, D., Levesque, M., Patel, S., Szeszko, P., Kennedy, J., Lencz, T., & Malhotra, A. (2016). Limited Evidence for Association of Genome-Wide Schizophrenia Risk Variants on Cortical Neuroimaging Phenotypes. SCHIZOPHRENIA BULLETIN, 42(4), 1027–1036. https://doi.org/10.1093/schbul/sbv180
Behdinan, T., Foussias, G., Wheeler, A., Stefanik, L., Felsky, D., Remington, G., Rajji, T., Chakravarty, M., & Voineskos, A. (2015). Neuroimaging predictors of functional outcomes in schizophrenia at baseline and 6-month follow-up. SCHIZOPHRENIA RESEARCH, 169(1–3), 69–75. https://doi.org/10.1016/j.schres.2015.10.023
Voineskos, A., Winterburn, J., Felsky, D., Pipitone, J., Rajji, T., Mulsant, B., & Chakravarty, M. (2015). Hippocampal (subfield) volume and shape in relation to cognitive performance across the adult lifespan. HUMAN BRAIN MAPPING, 36(8), 3020–3037. https://doi.org/10.1002/hbm.22825