TMEM106B Effect on cognition in Parkinson disease and frontotemporal dementia
Open accessAbstract
Objective: Common variants near TMEM106B associate with risk of developing frontotemporal dementia (FTD). Emerging evidence suggests a role for TMEM106B in neurodegenerative processes beyond FTD. We evaluate the effect of TMEM106B genotype on cognitive decline across multiple neurogenerative diseases. Methods: We longitudinally followed 870 subjects with diagnoses of Parkinson disease (PD; n = 179), FTD (n = 179), Alzheimer disease (AD; n = 300), memory‐predominant mild cognitive impairment (MCI; n = 75), or neurologically normal control subjects (NC; n = 137) at the University of Pennsylvania (UPenn). All participants had annual Mini‐Mental State Examination (MMSE; median follow‐up duration = 3.0 years) and were genotyped at TMEM106B index single nucleotide polymorphism rs1990622. Genotype effects on cognition were confirmed by extending analyses to additional cognitive instruments (Mattis Dementia Rating Scale‐2 [DRS‐2] and Montreal Cognitive Assessment [MoCA]) and to an international validation cohort (Parkinson's Progression Markers Initiative [PPMI], N = 371). Results: The TMEM106B rs1990622 T allele, linked to increased risk of FTD, associated with greater MMSE decline over time in PD subjects but not in AD or MCI subjects. For FTD subjects, rs1990622 T associated with more rapid decrease in MMSE only under the minor‐allele, rs1990622 C, dominant model. Among PD patients, rs1990622 T carriers from the UPenn cohort demonstrated more rapid longitudinal decline in DRS‐2 scores. Finally, in the PPMI cohort, TMEM106B risk allele carriers demonstrated more rapid longitudinal decline in MoCA scores. Interpretation: Irrespective of cognitive instrument or cohort assessed, TMEM106B acts as a genetic modifier for cognitive trajectory in PD. Our results implicate lysosomal dysfunction in the pathogenesis of cognitive decline in 2 different proteinopathies. ANN NEUROL 2019;85:801–811.
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GRN and TMEM106B are reportedly potential genetic risk factors for differential aging in the cerebral cortex and cognitive impairment in amyotrophic lateral sclerosis and Parkinson's disease.
“For instance, GRN and TMEM106B are reportedly potential genetic risk factors for differential aging in the cerebral cortex42 and cognitive impairment in amyotrophic lateral sclerosis43 and Parkinson’s disease44,45.”
From New insights into the genetic etiology of Alzheimer’s disease and related dementias (2022) · cites this paper as [45]
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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 · see citing works
The Montreal Cognitive Assessment, MoCA: a brief screening tool for mild cognitive impairment
Nasreddine, Z. S., Phillips, N. A., Bédirian, V., Charbonneau, S., Whitehead, V., Collin, I., Cummings, J. L., & Chertkow, H. (2005) · Journal of the American Geriatrics Society · doi:10.1111/j.1532-5415.2005.53221.x · Cited by 25,553 · see citing works
Hirono, N., Mori, E., Ikejiri, Y., Imamura, T., Shimomura, T., Hashimoto, M., Yamashita, H., & Ikeda, M. (1997) · PubMed · Cited by 21,010 · see citing works
Kok, J. S., Berg, I. J., & Scherder, E. J. A. (2013) · Dementia and Geriatric Cognitive Disorders Extra · doi:10.1159/000353441 · Cited by 20,589 · see citing works
Older Adults' Reasons for Using Technology while Aging in Place
Peek, S. T. M., Luijkx, K. G., Rijnaard, M. D., Nieboer, M. E., van der Voort, C. S., Aarts, S., van Hoof, J., Vrijhoef, H. J., & Wouters, E. (2015) · Gerontology · doi:10.1159/000430949 · Cited by 19,803 · see citing works
Sensitivity and False Alarm Rate of a Fall Sensor in Long-Term Fall Detection in the Elderly
Kangas, M., Korpelainen, R., Vikman, I., Nyberg, L., & Jämsä, T. J. (2014) · Gerontology · doi:10.1159/000362720 · Cited by 19,003 · see citing works
Random-Effects Models for Longitudinal Data
Laird, N. M., & Ware, J. H. (1982) · Biometrics · doi:10.2307/2529876 · Cited by 8,923 · see citing works
The Mini‐Mental State Examination: A Comprehensive Review
Tombaugh, T. N., & McIntyre, N. J. (1992) · Journal of the American Geriatrics Society · doi:10.1111/j.1532-5415.1992.tb01992.x · Cited by 5,152 · see citing works
The Sydney multicenter study of Parkinson's disease: The inevitability of dementia at 20 years
Hely, M. A., Reid, W. G. J., ADENA, M. A., Halliday, G. M., & Morris, J. G. (2008) · Movement Disorders · doi:10.1002/mds.21956 · Cited by 2,245 · see citing works
The Parkinson Progression Marker Initiative (PPMI)
MAREK, K. L., Jennings, D. L., Lasch, S., Siderowf, A. D., Tanner, C. M., Simuni, T., Coffey, C. S., Kieburtz, K. D., Flagg, E., Chowdhury, S., et al. (2011) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2011.09.005 · Cited by 1,888 · see citing works
Self-citationRobinson, J. L., Lee, E. B., Xie, S. X., Rennert, L., Suh, E., Bredenberg, C., Caswell, C., Van Deerlin, V. M., Yan, N., Yousef, A., et al. (2018) · Brain · doi:10.1093/brain/awy146 · Cited by 729 · see citing works
Self-citationCommon variants at 7p21 are associated with frontotemporal lobar degeneration with TDP-43 inclusions
Van Deerlin, V. M., Sleiman, P. M. A., Martinez-Lage, M., Chen-Plotkin, A., Wang, L.-S., Graff-Radford, N. R., Dickson, D. W., Rademakers, R., Boeve, B. F., Grossman, M., et al. (2010) · Nature Genetics · doi:10.1038/ng.536 · Cited by 579 · see citing works
Self-citationStrikingly Different Clinicopathological Phenotypes Determined by Progranulin-Mutation Dosage
Smith, K. R., Damiano, J., Franceschetti, S., Carpenter, S., Canafoglia, L., Morbin, M., Rossi, G., Pareyson, D., Mole, S. E., Staropoli, J. F., et al. (2012) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2012.04.021 · Cited by 489 · see citing works
Gaucher disease: pathological mechanisms and modern management
Jmoudiak, M., & Futerman, A. (2005) · British Journal of Haematology · doi:10.1111/j.1365-2141.2004.05351.x · Cited by 303 · see citing works
Finch, N., Carrasquillo, M. M., Baker, M., Rutherford, N. J., Coppola, G., DeJesus-Hernandez, M., Crook, R., Hunter, T., Ghidoni, R., Benussi, L., et al. (2011) · Neurology · doi:10.1212/wnl.0b013e31820a0e3b · Cited by 243 · see citing works
Chen‐Plotkin, A. S., Unger, T. L., Gallagher, M. D., Bill, E., Kwong, L. K., Volpicelli‐Daley, L. A., Busch, J. I., Akle, S., Grossman, M., Deerlin, V. M. V., et al. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.0521-12.2012 · Cited by 239 · see citing works
Self-citationToledo, J. B., Van Deerlin, V. M., Lee, E. B., Suh, E., Baek, Y., Robinson, J. L., Xie, S. X., McBride, J., Wood, E. M., Schuck, T., et al. (2014) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2013.06.003 · Cited by 234 · see citing works
Self-citationGlobal scales for cognitive screening in Parkinson's disease: Critique and recommendations
Škorvánek, M., Goldman, J. G., Jahanshahi, M., Marras, C., Rektorová, I., Schmand, B. A., van Duijn, E., Goetz, C. G., Weintraub, D. A., Stebbins, G. T., et al. (2017) · Movement Disorders · doi:10.1002/mds.27233 · Cited by 231 · see citing works
Self-citationNormative Data for the Mattis Dementia Rating Scale
Lucas, J. A., Ivnik, R. J., Smith, G. E., Bohac, D. L., Tangalos, E. G., Kokmen, E., Graff-Radford, N. R., & Petersen, R. C. (1998) · Journal of Clinical and Experimental Neuropsychology · doi:10.1076/jcen.20.4.536.1469 · Cited by 216 · see citing works
Brady, O. A., Zheng, Y., Murphy, K. A., Huang, M. J., & Hu, F. (2012) · Human Molecular Genetics · doi:10.1093/hmg/dds475 · Cited by 205 · see citing works
Differential clinicopathologic and Genetic features of late-onset amnestic dementias
Murray, M., Cannon, A., Graff-Radford, N., Liesinger, A. M., Rutherford, N., Ross, O., Duara, R., Carrasquillo, M., Rademakers, R., & Dickson, D. (2014) · Acta Neuropathologica · doi:10.1007/s00401-014-1302-2 · Cited by 150 · see citing works
Progression in the LRRK2-Associated Parkinson Disease Population
Saunders-Pullman, R. J., Mirelman, A., Alcalay, R. N., Wang, C., Ortega, R. A., Raymond, D., Mejia‐Santana, H., Orbe‐Reilly, M., Johannes, B. A., Thaler, A., et al. (2018) · JAMA Neurology · doi:10.1001/jamaneurol.2017.4019 · Cited by 148 · see citing works
Gallagher, M. D., Suh, E. R., Grossman, M., Elman, L. B., McCluskey, L. F., Swieten, J. C. V., Al‐Sarraj, S., Neumann, M., Gelpí, E., Ghetti, B. F., et al. (2014) · Acta Neuropathologica · doi:10.1007/s00401-013-1239-x · Cited by 143 · see citing works
Self-citationRhinn, H., & Abeliovich, A. (2017) · Cell Systems · doi:10.1016/j.cels.2017.02.009 · Cited by 130 · see citing works
Risk genotypes at TMEM106B are associated with cognitive impairment in amyotrophic lateral sclerosis
Vass, R., Ashbridge, E., Geser, F., Hu, W. T., Grossman, M., Clay-Falcone, D., Elman, L., McCluskey, L., Lee, V. M. Y., Van Deerlin, V. M., et al. (2011) · Acta Neuropathologica · doi:10.1007/s00401-010-0782-y · Cited by 119 · see citing works
Self-citationA Dementia-Associated Risk Variant near TMEM106B Alters Chromatin Architecture and Gene Expression
Gallagher, M. D., Posavi, M., Huang, P., Unger, T. L., Berlyand, Y., Gruenewald, A. L., Chesi, A., Manduchi, E., Wells, A. D., Grant, S. F. A., et al. (2017) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2017.09.004 · Cited by 109 · see citing works
Self-citationTMEM106B risk variant is implicated in the pathologic presentation of Alzheimer disease
Rutherford, N. J., Carrasquillo, M. M., Li, M., Bisceglio, G. D., Menke, J. R., Josephs, K. A., Parisi, J. E., Petersen, R. C., Graff‐Radford, N. R., Younkin, S. G., et al. (2012) · Neurology · doi:10.1212/wnl.0b013e318264e3ac · Cited by 97 · see citing works
The TMEM106B locus and TDP-43 pathology in older persons without FTLD
Yu, L., Jager, P. L. D., Yang, J., Trojanowski, J. Q., Bennett, D. A., & Schneider, J. A. (2015) · Neurology · doi:10.1212/wnl.0000000000001313 · Cited by 91 · see citing works
Self-citationHippocampal sclerosis in Lewy body disease is a TDP-43 proteinopathy similar to FTLD-TDP Type A
Aoki, N., Murray, M. E., Ogaki, K., Fujioka, S., Rutherford, N. J., Rademakers, R., Ross, O. A., & Dickson, D. W. (2014) · Acta Neuropathologica · doi:10.1007/s00401-014-1358-z · Cited by 89 · see citing works
Baseline genetic associations in the Parkinson's Progression Markers Initiative (PPMI)
Nalls, M. A., Keller, M. F., Hernandez, D. G., Chen, L., Stone, D. J., Singleton, A., & on behalf of the Parkinson's Progression Marker Initiative (PPMI) investigators (2015) · Movement Disorders · doi:10.1002/mds.26374 · Cited by 76 · see citing works
Busch, J. I., Unger, T. L., Jain, N., Skrinak, R. T., Charan, R. A., & Chen‐Plotkin, A. S. (2016) · Human Molecular Genetics · doi:10.1093/hmg/ddw127 · Cited by 68 · see citing works
Self-citationArnold, S. E., Toledo, J. B., Appleby, D. H., Xie, S. X., Wang, W., Baek, Y., Wolk, D. A., Lee, E. B., Miller, B. L., Lee, V. M. ‐., et al. (2013) · The Journal of Comparative Neurology · doi:10.1002/cne.23430 · Cited by 61 · see citing works
Self-citationProgression of Alzheimer’s Disease: A Longitudinal Study in Norwegian Memory Clinics
Eldholm, R. S., Barca, M. L., Persson, K., Knapskog, A., Kersten, H., Engedal, K., Selbæk, G., Brækhus, A., Skovlund, E., & Saltvedt, I. T. (2017) · Journal of Alzheimer s Disease · doi:10.3233/jad-170436 · Cited by 59 · see citing works
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Feng, T., Lacrampe, A., & Hu, F. (2021) · Acta Neuropathologica · doi:10.1007/s00401-020-02246-3 · Cited by 110 · see citing works
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Wie, J., Liu, Z., Song, H., Tropea, T. F., Yang, L., Wang, H., Liang, Y., Cang, C., Aranda, K., Lohmann, J., et al. (2021) · Nature · doi:10.1038/s41586-021-03185-z · Cited by 120 · see citing works
Self-citationLoss of TMEM106B and PGRN leads to severe lysosomal abnormalities and neurodegeneration in mice
Feng, T., Mai, S., Roscoe, J. M., Sheng, R. R., Ullah, M., Zhang, J., Katz, I. I., Yu, H., Xiong, W., & Hu, F. (2020) · The EMBO Reports · doi:10.15252/embr.202050219 · Cited by 94 · see citing works
Hu, Y., Sun, J., Zhang, Y., Zhang, H., Gao, S., Wang, T., Han, Z., Wang, L., Sun, B., & Liu, G. (2021) · BMC Medicine · doi:10.1186/s12916-020-01883-5 · Cited by 89 · see citing works
Lüningschrör, P., Werner, G., Stroobants, S., Kakuta, S., Dombert, B., Sinske, D., Wanner, R., Lüllmann‐Rauch, R., Wefers, B., Wurst, W., et al. (2020) · Cell Reports · doi:10.1016/j.celrep.2020.02.060 · Cited by 78 · see citing works
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Perneel, J., Neumann, M., Heeman, B., Cheung, S., den Broeck, M. V., Wynants, S., Baker, M. C., Vicente, C. T., Faura, J., Rademakers, R., et al. (2022) · Acta Neuropathologica · doi:10.1007/s00401-022-02531-3 · Cited by 65 · see citing works
Uemura, M. T., Robinson, J. L., Cousins, K. A. Q., Tropea, T. F., Kargilis, D., McBride, J. D., Suh, E. R., Xie, S. X., Xu, Y., Porta, S., et al. (2021) · Acta Neuropathologica · doi:10.1007/s00401-021-02383-3 · Cited by 59 · see citing works
Self-citationThe genetic architecture of the human thalamus and its overlap with ten common brain disorders
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Godrich, D., Pasteris, J., Martin, E. R., Kunkle, B. W., Naj, A. C., Hamilton, K., Wang, H., Lee, W., Dumitrescu, L. C., Hohman, T. J., et al. (2025) · Alzheimer s & Dementia · doi:10.1002/alz.70760 · Cited by 9 · see citing works
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Zhu, M., Zhang, G., Meng, L., Xiao, T., Fang, X., & Zhang, Z. (2024) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-024-05241-z · Cited by 8 · see citing works
Disease-modifying effects of TMEM106B in genetic frontotemporal dementia: a longitudinal GENFI study
Mirza, S. S., Pasternak, M. M., Paterson, A. D., Rogaeva, E. A., Tartaglia, M. C., Mitchell, S. B., Black, S. E., Freedman, M., Tang‐Wai, D. F., Bouzigues, A., et al. (2025) · Brain · doi:10.1093/brain/awaf019 · Cited by 7 · see citing works
Shafit‐Zagardo, B., Sidoli, S., Goldman, J. E., DuBois, J. C., Corboy, J. R., Strittmatter, S. M., Guzik, H. M., Edema, U., Arackal, A. G., Botbol, Y. M., et al. (2023) · Cells · doi:10.3390/cells12131734 · Cited by 9 · see citing works
An AluYb8 retrotransposon characterises a risk haplotype of TMEM106B associated in neurodegenerationPreprint
Salazar, A., Tesi, N., Knoop, L., Pijnenburg, Y. A. L., van der Lee, S. J., Wijesekera, S., Křížová, J., Hiltunen, M. O., Daμμe, M., Petrucelli, L., et al. (2023) · medRxiv · doi:10.1101/2023.07.16.23292721 · Cited by 7 · see citing works
Riordan, R., Saxton, A. D., Han, M., McMillan, P. J., Kow, R. L., Liachko, N. F., & Kraemer, B. C. (2024) · Alzheimer s & Dementia · doi:10.1002/alz.14468 · Cited by 5 · see citing works
Divergent and convergent TMEM106B pathology in murine models of neurodegeneration and human disease
Du, M., Akerman, S. C., Fare, C. M., Ruan, L., Vidensky, S., Mamedova, L., Koo, K., Lee, J. Y., & Rothstein, J. D. (2025) · Acta Neuropathologica Communications · doi:10.1186/s40478-025-02087-9 · Cited by 4 · see citing works
Vu, D. T., Sibran, W., Metousis, A., Vandewynckel, L., Eraslan, B., Goveas, L. M., Itang, E. C. M., Deldycke, C., Garcia, A. F., Lefebvre, R., et al. (2026) · Molecular Systems Biology · doi:10.1038/s44320-026-00190-0 · Cited by 3 · see citing works
Sawaguchi, S., Ishida, M., Miyamoto, Y., & Yamauchi, J. (2024) · Current Issues in Molecular Biology · doi:10.3390/cimb46080478 · Cited by 4 · see citing works
Chen, Z., Wu, B., Li, G., Zhou, L., Zhang, L., & Liu, J. (2023) · medRxiv · doi:10.1101/2023.07.17.23292760 · Cited by 4 · see citing works
Nguyen, Q., Wood, C. A., Kim, P. J., & Jankowsky, J. L. (2023) · Frontiers in Neuroscience · doi:10.3389/fnins.2023.1275959 · Cited by 3 · see citing works
Myristoylation of TMEM106B by NMT1/2 regulates TMEM106B trafficking and turnover
Lacrampe, A., Hou, D., Perez, I. G., Gong, B., Franco-Hernandez, N., Yee, A., Chen, W., Young-Chapon, M. A., Lin, H., & Hu, F. (2025) · Journal of Biological Chemistry · doi:10.1016/j.jbc.2025.110322 · Cited by 3 · see citing works
Xing, S., Zheng, X., Yan, H., Mo, Y., Duan, R., Chen, Z., Wang, K., Gao, K., Chen, T., Zhao, S., et al. (2023) · Science China Life Sciences · doi:10.1007/s11427-022-2290-1 · Cited by 3 · see citing works
Lifting the veils on transmembrane proteins: Potential anticancer targets
Lei, H., Fang, F., Yang, C., Chen, X., Li, Q., & Shen, X. (2023) · European Journal of Pharmacology · doi:10.1016/j.ejphar.2023.176225 · Cited by 3 · see citing works
Liu, Y., Qin, K., Dou, K., Ren, J., Hou, B., & Xie, A. (2024) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2024.167553 · Cited by 3 · see citing works
Frontotemporal dementia risk variant accelerates cognitive decline in Parkinson disease
Lemprière, S. A. (2019) · Nature Reviews Neurology · doi:10.1038/s41582-019-0196-y · Cited by 3 · see citing works
Rodney, A. R., Karanjeet, K. B., Benzow, K. A., & Koob, M. D. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.09.07.555370 · Cited by 3 · see citing works
Axon Initial Segment: Structure, Biological Functions, Diseases, and Therapeutic Targets
Song, D., Yuan, L., Yang, W., Li, W., & Li, J. (2026) · MedComm · doi:10.1002/mco2.70689 · Cited by 2 · see citing works
Calcium modulating ligand confers risk for Parkinson's disease and impacts lysosomes
Zhang, H., Kargilis, D., Tropea, T. F., Robinson, J. L., Shen, J., Brody, E. M., Brinkmalm, A., Sjödin, S., Berndt, A. J., Carceles‐Cordon, M., et al. (2025) · Annals of Clinical and Translational Neurology · doi:10.1002/acn3.52286 · Cited by 2 · see citing works
Self-citationAssociation of TMEM106B with Cortical APOE Gene Expression in Neurodegenerative Conditions
Picard, C., Miron, J., & Poirier, J. (2024) · Genes · doi:10.3390/genes15040416 · Cited by 2 · see citing works
Shafit‐Zagardo, B., Sidoli, S., Goldman, J. E., DuBois, J. C., Corboy, J. R., Strittmatter, S. M., Guzik, H. M., Graff, S., & Nagra, R. M. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.05.05.490697 · Cited by 2 · see citing works
TMEM106B C-terminal fragments aggregate and drive neurodegenerative proteinopathyPreprint
Riordan, R., Saxton, A. D., McMillan, P. J., Kow, R. L., Liachko, N. F., & Kraemer, B. C. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.06.11.598478 · Cited by 2 · see citing works
Associations between TMEM106B C‐terminal fragment aggregation, age, and TDP ‐43 or tau pathology
Acewicz, A., Tarka, S., Grzegorczyk, M., Rzepliński, R., Wierzba‐Bobrowicz, T., & Stępień, T. (2026) · Brain Pathology · doi:10.1111/bpa.70090 · Cited by 1 · see citing works
FTLD‐TDP versus LATE‐NC: Experience of a Brain Bank specializing in FTLD‐TDP
Fischer, D. L., Spina, S., Miller, B. L., Seeley, W. W., & Grinberg, L. T. (2026) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1002/dad2.70411 · Cited by 1 · see citing works
Gomes, K. B. (2024) · Annals of Translational Medicine · doi:10.21037/atm-24-104 · Cited by 1 · see citing works
Phenotypic Heterogeneity among GBA p.R202X Carriers in Lewy Body Spectrum Disorders
Napolioni, V., Fredericks, C. A., Kim, Y., Channappa, D., Khan, R. R., Kim, L. H., Zafar, F., Couthouis, J., Davidzon, G., Mormino, E. C., et al. (2022) · Biomedicines · doi:10.3390/biomedicines10010160
Labadorf, A. T., Agus, F., Aytan, N., Cherry, J. D., Mez, J. B., McKee, A. C., & Stein, T. D. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.05.31.494179
Analysis of Common Genetic Variation of Anxiety Disorders in Essential Tremor
Yan, Y., Cao, L., Gu, L., Xu, C., Lu, J., Lv, D., Tian, J., Yin, X., Pu, J., Zhang, B., et al. (2025) · Journal of Molecular Neuroscience · doi:10.1007/s12031-024-02226-2
Long, X., Zhang, Z., Wen, S., Mo, L., Lin, J., & Xu, M. (2025) · Asian Journal of Psychiatry · doi:10.1016/j.ajp.2025.104757
Boyle, R. T., Dehghani, N., Emrani, S., Wadhwani, A. R., Matyi, M. A., Cousins, K. A. Q., Rhodes, E., Nelson, B., Stites, S. D., Xie, S. X., et al. (2025) · Alzheimer s & Dementia Behavior & Socioeconomics of Aging · doi:10.1002/bsa3.70045
Self-citationZhang, C., & Deng, K. (2025) · The Tohoku Journal of Experimental Medicine · doi:10.1620/tjem.2025.j123
Cabron, A.-S., Borgmeyer, U., Richter, J., Peisker, H., Gutbrod, K., Dörmann, P., Capell, A., & Daμμe, M. (2024) · Figshare · doi:10.6084/m9.figshare.26564529
Feng, T., Luan, L., Katz, I. I., Ullah, M., Deerlin, V. M. V., Trojanowski, J. Q., Lee, E. B., & Hu, F. (2022) · Figshare · doi:10.6084/m9.figshare.19359709
Self-citationLabadorf, A. T., Agus, F., Aytan, N., Cherry, J. D., Mez, J. B., McKee, A. C., & Stein, T. D. (2024) · Figshare · doi:10.6084/m9.figshare.26573788
Cabron, A.-S., Borgmeyer, U., Richter, J., Peisker, H., Gutbrod, K., Dörmann, P., Capell, A., & Daμμe, M. (2024) · Figshare · doi:10.6084/m9.figshare.26564526
Labadorf, A. T., Agus, F., Aytan, N., Cherry, J. D., Mez, J. B., McKee, A. C., & Stein, T. D. (2024) · Figshare · doi:10.6084/m9.figshare.26573794
Labadorf, A. T., Agus, F., Aytan, N., Cherry, J. D., Mez, J. B., McKee, A. C., & Stein, T. D. (2024) · Figshare · doi:10.6084/m9.figshare.26573791
TMEM106B deficiency exacerbates α-synuclein aggregation in Parkinson’s disease
Meng, L., Liu, C., Li, M., Gong, H., Gu, X., Zou, W., Liu, H., Teng, H., Xiong, J., & Zhang, Z. (2026) · Brain · doi:10.1093/brain/awag065 · Cited by 3 · see citing works
Dopler, M. B., Corbett, W. C., Gonzalez, A. D., Ghaseminejad‐Bandpey, A., Keating, M., Clarke, K. M., Ogunbona, O. B., Maestre, G., Seshadri, S. S., Etemadmoghadam, S., et al. (2026) · Journal of Neuropathology & Experimental Neurology · doi:10.1093/jnen/nlag031
Tilahun, K., Parameswaran, J., Dudley, M., Pun, D., Ma, F., Zhang, J., Bolds, T. O., & Jiang, J. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.04.23.719939 · Cited by 1 · see citing works
Weintraub, D. A., Dobkin, R. D., York, M. K., Chahine, L. M., Tropea, T. F., Marek, K., & Initiative, T. P. P. M. (2026) · Annals of Neurology · doi:10.1002/ana.78254
Self-citationZhao, W., Liang, X., Hu, B., Yu, W., Wu, J., Sun, Y. M., Wang, J., & Fan, Y. (2026) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2026.1873947
From biology to therapy: advances in progranulin-related neurodegenerative diseases
Hu, S., Qiu, K., Zhen, F., & Zhou, X. (2026) · Molecular Neurodegeneration Advances · doi:10.1186/s44477-026-00042-z
The Progression of Prion Diseases Is Not Altered in the Absence of TMEM106B
Bravo‐Risi, F., Orta, G. A., Kim, P. J., Wylie-Young, H., Stimming, T. H., Soto, P., Estrada, L. D., Jankowsky, J. L., & Morales, R. (2026) · eNeuro · doi:10.1523/eneuro.0043-26.2026
Polygenic Risk Scores in Alzheimer’s Disease: A Cross-Scale View from Genes to Brain and Behavior
Angelopoulou, E., Stamelos, I. G., Sampatakakis, S. N., Papageorgiou, S. G., Scarmeas, N., Hatzimanolis, A., Proukakis, C., & Villa, C. (2026) · Biology · doi:10.3390/biology15201805
- Authors
- Tropea, T. F., Mak, J., Guo, M. H., Xie, S. X., Suh, E., Rick, J., Siderowf, A., Weintraub, D., Grossman, M., Irwin, D., Wolk, D. A., Trojanowski, J. Q., Van Deerlin, V., & Chen‐Plotkin, A. S.
- Affiliations
- University of Pennsylvania (US)
- Broad Institute (US)
- Mental Illness Research, Education and Clinical Centers (US)
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine University of Pennsylvania Philadelphia PA
- Corresponding author
- Chen‐Plotkin, Alice S.
- ORCID
- Venue
- Annals of Neurology
- Publisher
- Wiley
- Published
- 2019-05-14
- Volume
- 85
- Issue
- 6
- Pages
- 801-811
- ISSN
- 0364-5134 (ISSN-L)
- 1531-8249
- PMC
- PMC6953172
- OpenAlex
- W2940159300
- Cited by
- 83
- References
- 33
- Citations by year
- 2026: 12 · 2025: 12 · 2024: 12 · 2023: 14 · 2022: 13 · 2021: 10 · 2020: 9 · 2019: 1
- FWCI
- 6.56
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Annals of Neurology (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute of Neurological Disorders and Stroke (P50 NS06284, R01 NS082265, T32 NS091008)
- University of Pennsylvania (Benaroya Fund, ITMAT Scholarship, Parker Family Chair)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Neurology › Parkinson's Disease Mechanisms and Treatments
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Keywords
- TMEM106B, Parkinson's disease, frontotemporal dementia, cognitive decline, genetic modifiers, lysosomal dysfunction, Alzheimer's disease, mild cognitive impairment, proteinopathies, longitudinal cognitive trajectories
- MeSH terms
- Mental Status and Dementia Tests, Aged, Cognition, Female, Follow-Up Studies, Humans, Longitudinal Studies, Male, Membrane Proteins, Middle Aged, Nerve Tissue Proteins, Neuropsychological Tests, Parkinson Disease, Frontotemporal Dementia, Cognitive Dysfunction
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