Genetics of FTLD : overview and what else we can expect from genetic studies
Abstract
Frontotemporal lobar degeneration ( FTLD ) comprises a highly heterogeneous group of disorders clinically associated with behavioral and personality changes, language impairment, and deficits in executive functioning, and pathologically associated with degeneration of frontal and temporal lobes. Some patients present with motor symptoms including amyotrophic lateral sclerosis. Genetic research over the past two decades in FTLD families led to the identification of three common FTLD genes (microtubule‐associated protein tau, progranulin, and chromosome 9 open reading frame 72) and a small number of rare FTLD genes, explaining the disease in almost all autosomal dominant FTLD families but only a minority of apparently sporadic patients or patients in whom the family history is less clear. Identification of additional FTLD (risk) genes is therefore highly anticipated, especially with the emerging use of next‐generation sequencing. Common variants in the transmembrane protein 106 B were identified as a genetic risk factor of FTLD and disease modifier in patients with known mutations. This review summarizes for each FTLD gene what we know about the type and frequency of mutations, their associated clinical and pathological features, and potential disease mechanisms. We also provide an overview of emerging disease pathways encompassing multiple FTLD genes. We further discuss how FTLD specific issues, such as disease heterogeneity, the presence of an unclear family history and the possible role of an oligogenic basis of FTLD , can pose challenges for future FTLD gene identification and risk assessment of specific variants. Finally, we highlight emerging clinical, genetic, and translational research opportunities that lie ahead. image Genetic research led to the identification of three common FTLD genes with rare variants ( MAPT , GRN , and C9orf72 ) and a small number of rare genes. Efforts are now ongoing, which aimed at the identification of rare variants with high risk and/or low frequency variants with intermediate effect. Common risk variants have also been identified, such as TMEM106B . This review discusses the current knowledge on FTLD genes and the emerging disease pathways encompassing multiple FTLD genes. This article is part of the Frontotemporal Dementia special issue .
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Mutations in TBK1 are associated with developing FTD.
“Additionally, mutations in TBK1 are associated with developing FTD,317,318”
From Microglia in neurodegenerative diseases: mechanism and potential therapeutic targets (2023) · cites this paper as [317]
Cites
DeJesus-Hernandez, M., Mackenzie, I. R., Boeve, B. F., Boxer, A. L., Baker, M., Rutherford, N. J., Nicholson, A. M., Finch, N. A., Flynn, H., Adamson, J., et al. (2011) · Neuron · doi:10.1016/j.neuron.2011.09.011 · Cited by 4,936 · see citing works
Self-citationA Hexanucleotide Repeat Expansion in C9ORF72 Is the Cause of Chromosome 9p21-Linked ALS-FTD
Renton, A. E., Majounie, E., Waite, A., Simón-Sánchez, J., Rollinson, S., Gibbs, J. R., Schymick, J. C., Laaksovirta, H., van Swieten, J. C., Myllykangas, L., et al. (2011) · Neuron · doi:10.1016/j.neuron.2011.09.010 · Cited by 4,409 · see citing works
Association of missense and 5′-splice-site mutations in tau with the inherited dementia FTDP-17
Hutton, M., Lendon, C. L., Rizzu, P., Baker, M., Froelich, S., Houlden, H., Pickering-Brown, S., Chakraverty, S., Isaacs, A., Grover, A., et al. (1998) · Nature · doi:10.1038/31508 · Cited by 3,498 · see citing works
Mutations in progranulin cause tau-negative frontotemporal dementia linked to chromosome 17
Baker, M., Mackenzie, I. R., Pickering-Brown, S. M., Gass, J., Rademakers, R., Lindholm, C., Snowden, J., Adamson, J., Sadovnick, A. D., Rollinson, S., et al. (2006) · Nature · doi:10.1038/nature05016 · Cited by 2,058 · see citing works
Self-citationGoedert, M., & Jakes, R. (1990) · The EMBO Journal · doi:10.1002/j.1460-2075.1990.tb07870.x · Cited by 929 · cited 1× · see citing works
“With respect to MT assembly, it has been shown that 4R tau binds to MT threefold more strongly and assembles MT more efficiently than 3R tau (Goedert & Jakes 1990).”
BackgroundMutations in the endosomal ESCRTIII-complex subunit CHMP2B in frontotemporal dementia
Skibinski, G., Parkinson, N. J., Brown, J. M., Chakrabarti, L., Lloyd, S. L., Hummerich, H., Nielsen, J. E., Hodges, J. R., Spillantini, M. G., Thusgaard, T., et al. (2005) · Nature Genetics · doi:10.1038/ng1609 · Cited by 822 · see citing works
Haploinsufficiency of TBK1 causes familial ALS and fronto-temporal dementia
Freischmidt, A., Wieland, T., Richter, B., Ruf, W., Schaeffer, V., Müller, K., Marroquin, N., Nordin, F., Hübers, A., Weydt, P., et al. (2015) · Nature Neuroscience · doi:10.1038/nn.4000 · Cited by 786 · see citing works
Mizielinska, S., Grönke, S., Niccoli, T., Ridler, C. E., Clayton, E. L., Devoy, A., Moens, T., Norona, F. E., Woollacott, I. O. C., Pietrzyk, J., et al. (2014) · Science · doi:10.1126/science.1256800 · Cited by 740 · see citing works
Rademakers, R., Baker, M., Nicholson, A. M., Rutherford, N. J., Finch, N., Soto-Ortolaza, A., Lash, J., Wider, C., Wojtas, A., DeJesus-Hernandez, M., et al. (2012) · Nature Genetics · doi:10.1038/ng.1027 · Cited by 571 · see citing works
Self-citationThe epidemiology of frontotemporal dementia
Onyike, C. U., & Diehl-Schmid, J. (2013) · International Review of Psychiatry · doi:10.3109/09540261.2013.776523 · Cited by 543 · see citing works
Farg, M. A., Sundaramoorthy, V., Sultana, J. M., Yang, S., Atkinson, R. A. K., Levina, V., Halloran, M. A., Gleeson, P. A., Blair, I. P., Soo, K. Y., et al. (2014) · Human Molecular Genetics · doi:10.1093/hmg/ddu068 · Cited by 478 · see citing works
Rayaprolu, S., Mullen, B., Baker, M., Lynch, T., Finger, E., Seeley, W. W., Hatanpaa, K. J., Lomen-Hoerth, C., Kertesz, A., Bigio, E. H., et al. (2013) · Molecular Neurodegeneration · doi:10.1186/1750-1326-8-19 · Cited by 404 · see citing works
Self-citationFrontotemporal dementia and its subtypes: a genome-wide association study
Ferrari, R., Hernandez, D. G., Nalls, M. A., Rohrer, J. D., Ramasamy, A., Kwok, J. B. J., Dobson-Stone, C., Brooks, W. S., Schofield, P. R., Halliday, G. M., et al. (2014) · The Lancet Neurology · doi:10.1016/s1474-4422(14)70065-1 · Cited by 383 · see citing works
Self-citationGuerreiro, R. J., Lohmann, E., Brás, J. M., Gibbs, J. R., Rohrer, J. D., Gurunlian, N., Dursun, B., Bilgic, B., Hanagasi, H., Gurvit, H., et al. (2013) · JAMA Neurology · doi:10.1001/jamaneurol.2013.579 · Cited by 374 · cited 1× · see citing works
“…a known cause of Nasu Hakola disease, have also been described in patients with atypical FTLD characterized by very young onset age, the presence of seizures and parkinsonism and extensive white matter lesions on brain imaging (Le Ber et al. 2014, Guerreiro et al. 2013a, Guerreiro et al. 2013b).”
Dipeptide repeat protein pathology in C9ORF72 mutation cases: clinico-pathological correlations
Mackenzie, I. R., Arzberger, T., Kremmer, E., Troost, D., Lorenzl, S., Mori, K., Weng, S.-M., Haass, C., Kretzschmar, H. A., Edbauer, D., et al. (2013) · Acta Neuropathologica · doi:10.1007/s00401-013-1181-y · Cited by 345 · see citing works
Ciura, S., Lattante, S., Le Ber, I., Latouche, M., Tostivint, H., Brice, A., & Kabashi, E. (2013) · Annals of Neurology · doi:10.1002/ana.23946 · Cited by 333 · see citing works
Arginine methylation next to the PY‐NLS modulates Transportin binding and nuclear import of FUS
Dormann, D., Madl, T., Valori, C. F., Bentmann, E., Tahirovic, S., Abou‐Ajram, C., Kremmer, E., Ansorge, O., Mackenzie, I. R. A., Neumann, M., et al. (2012) · The EMBO Journal · doi:10.1038/emboj.2012.261 · Cited by 326 · see citing works
Pottier, C., Bieniek, K. F., Finch, N., van de Vorst, M., Baker, M., Perkersen, R., Brown, P., Ravenscroft, T., van Blitterswijk, M., Nicholson, A. M., et al. (2015) · Acta Neuropathologica · doi:10.1007/s00401-015-1436-x · Cited by 312 · see citing works
Self-citationAlexander, A. G., Marfil, V., & Li, C. (2014) · Frontiers in Genetics · doi:10.3389/fgene.2014.00279 · Cited by 310 · see citing works
C9orf72 BAC Transgenic Mice Display Typical Pathologic Features of ALS/FTD
O’Rourke, J. G., Bogdanik, L., Muhammad, A. K. M. G., Gendron, T. F., Kim, K. J., Austin, A., Cady, J., Liu, E. Y., Zarrow, J., Grant, S., et al. (2015) · Neuron · doi:10.1016/j.neuron.2015.10.027 · Cited by 298 · see citing works
Progranulin protects against amyloid β deposition and toxicity in Alzheimer's disease mouse models
Minami, S. S., Min, S.-W., Krabbe, G., Wang, C., Zhou, Y., Asgarov, R., Li, Y., Martens, L. H., Elia, L. P., Ward, M. E., et al. (2014) · Nature Medicine · doi:10.1038/nm.3672 · Cited by 237 · see citing works
<i>C9orf72</i> expansions are the most common genetic cause of Huntington disease phenocopies
Hensman Moss, D. J., Poulter, M., Beck, J., Hehir, J., Polke, J. M., Campbell, T., Adamson, G., Mudanohwo, E., McColgan, P., Haworth, A., et al. (2014) · Neurology · doi:10.1212/wnl.0000000000000061 · Cited by 203 · see citing works
Yin, F., Dumont, M., Banerjee, R., Ma, Y., Li, H., Lin, M. T., Beal, M. F., Nathan, C., Thomas, B., & Ding, A. (2010) · The FASEB Journal · doi:10.1096/fj.10-161471 · Cited by 180 · see citing works
Guerreiro, R., Bilgic, B., Guven, G., Brás, J., Rohrer, J., Lohmann, E., Hanagasi, H., Gurvit, H., & Emre, M. (2013) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2013.06.005 · Cited by 158 · see citing works
Le Ber, I., De Septenville, A., Millecamps, S., Camuzat, A., Caroppo, P., Couratier, P., Blanc, F., Lacomblez, L., Sellal, F., Fleury, M.-C., et al. (2015) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2015.08.009 · Cited by 89 · see citing works
Disentangling the Role of the Tau Gene Locus in Sporadic Tauopathies
Vandrovcova, J., Anaya, F., Kay, V., Lees, A., Hardy, J., & de Silva, R. (2010) · Current Alzheimer Research · doi:10.2174/156720510793611619 · Cited by 43 · see citing works
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Microglia in neurodegenerative diseases: mechanism and potential therapeutic targets
Gao, C., Jiang, J., Tan, Y., & Chen, S. (2023) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-023-01588-0 · Cited by 1,616 · see citing works
Ducharme, S., Dols, A., Laforce, R., Devenney, E., Kumfor, F., van den Stock, J., Dallaire-Théroux, C., Seelaar, H., Gossink, F., Vijverberg, E., et al. (2020) · Brain · doi:10.1093/brain/awaa018 · Cited by 320 · see citing works
Neuroinflammation in frontotemporal dementia
Bright, F., Werry, E. L., Dobson-Stone, C., Piguet, O., Ittner, L. M., Halliday, G. M., Hodges, J. R., Kiernan, M. C., Loy, C. T., Kassiou, M., et al. (2019) · Nature Reviews Neurology · doi:10.1038/s41582-019-0231-z · Cited by 280 · see citing works
The lysosomal function of progranulin, a guardian against neurodegeneration
Paushter, D. H., Du, H., Feng, T., & Hu, F. (2018) · Acta Neuropathologica · doi:10.1007/s00401-018-1861-8 · Cited by 230 · see citing works
Imaging and fluid biomarkers in frontotemporal dementia
Meeter, L. H., Kaat, L. D., Rohrer, J. D., & van Swieten, J. C. (2017) · Nature Reviews Neurology · doi:10.1038/nrneurol.2017.75 · Cited by 210 · see citing works
Biomarkers for diseases with TDP-43 pathology
Steinacker, P., Barschke, P., & Otto, M. (2019) · Molecular and Cellular Neuroscience · doi:10.1016/j.mcn.2018.10.003 · Cited by 57 · see citing works
Advances in treatment of frontotemporal dementia
Magrath Guimet, N., Zapata-Restrepo, L. M., & Miller, B. L. (2022) · The Journal of Neuropsychiatry and Clinical Neurosciences · doi:10.1176/appi.neuropsych.21060166 · Cited by 52 · see citing works
Su, W., Shi, Z., Liu, S., Wang, X., Liu, S., & Ji, Y. (2018) · Annals of Human Genetics · doi:10.1111/ahg.12241 · Cited by 16 · see citing works
- Authors
- Pottier, C., Ravenscroft, T. A., Sanchez‐Contreras, M., & Rademakers, R.
- Affiliations
- Mayo Clinic (US)
- Mayo Clinic Jacksonville Department of Neuroscience Jacksonville FL USA
- Corresponding author
- Rademakers, Rosa
- Venue
- Journal of Neurochemistry
- Publisher
- Wiley
- Published
- 2016-08
- Volume
- 138
- Issue
- S1
- Pages
- 32-53
- ISSN
- 0022-3042 (ISSN-L)
- 1471-4159
- OpenAlex
- W2310226166
- Cited by
- 148
- References
- 26
- Citations by year
- 2026: 4 · 2025: 15 · 2024: 7 · 2023: 9 · 2022: 11 · 2021: 23 · 2020: 17 · 2019: 20 · 2018: 20 · 2017: 16 · 2016: 6
- FWCI
- 2.87
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Neurochemistry (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health (P50 AG016574, P50 NS072187, R01 NS080882, R01 NS076471)
- ALS Therapy Alliance
- Topics
- Health Sciences › Medicine › Neurology › Amyotrophic Lateral Sclerosis Research
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Keywords
- frontotemporal lobar degeneration, risk genes, MAPT, progranulin, C9orf72, TMEM106B, rare variants, common genetic variants, disease heterogeneity, oligogenic inheritance, disease pathways, amyotrophic lateral sclerosis, genetic risk prediction
- MeSH terms
- C9orf72 Protein, Progranulins, Amyotrophic Lateral Sclerosis, Humans, Proteins, Risk Factors, tau Proteins, Intercellular Signaling Peptides and Proteins, Frontotemporal Lobar Degeneration
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