The DOI matches its Crossref record; 68 of the 68 references it cites were found in a registry or an index.
Novel genes associated with amyotrophic lateral sclerosis: diagnostic and clinical implications
Open accessAbstract
Summary Background The disease course of amyotrophic lateral sclerosis (ALS) is rapid and, because its pathophysiology is unclear, few effective treatments are available. Genetic research aims to understand the underlying mechanisms of ALS and identify potential therapeutic targets. The first gene associated with ALS was SOD1, identified in 1993 and, by early 2014, more than 20 genes had been identified as causative of, or highly associated with, ALS. These genetic discoveries have identified key disease pathways that are therapeutically testable and could potentially lead to the development of better treatments for people with ALS. Recent developments Since 2014, seven additional genes have been associated with ALS (MATR3, CHCHD10, TBK1, TUBA4A, NEK1, C21orf2, and CCNF), all of which were identified by genome-wide association studies, whole genome studies, or exome sequencing technologies. Each of the seven novel genes code for proteins associated with one or more molecular pathways known to be involved in ALS. These pathways include dysfunction in global protein homoeostasis resulting from abnormal protein aggregation or a defect in the protein clearance pathway, mitochondrial dysfunction, altered RNA metabolism, impaired cytoskeletal integrity, altered axonal transport dynamics, and DNA damage accumulation due to defective DNA repair. Because these novel genes share common disease pathways with other genes implicated in ALS, therapeutics targeting these pathways could be useful for a broad group of patients stratified by genotype. However, the effects of these novel genes have not yet been investigated in animal models, which will be a key step to translating these findings into clinical practice. Where next? The identification of these seven novel genes has been important in unravelling the molecular mechanisms underlying ALS. However, our understanding of what causes ALS is not complete, and further genetic research will provide additional detail about its causes. Increased genetic knowledge will also identify potential therapeutic targets and could lead to the development of individualised medicine for patients with ALS. These developments will have a direct effect on clinical practice when genome sequencing becomes a routine and integral part of disease diagnosis and management.
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1 retracted
Moloney, C. M., Rayaprolu, S., Howard, J. C., Fromholt, S., Brown, H. H., Collins, M., Cabrera, M., Duffy, C., Siemienski, Z. B., Miller, D., et al. (2016) · Acta Neuropathologica Communications · doi:10.1186/s40478-016-0393-5 · Cited by 12
RetractedA global reference for human genetic variation
The 1000 Genomes Project Consortium, authors, C., Auton, A., Abecasis, G. R., Steering committee, Altshuler, D. M., Durbin, R. M., Abecasis, G. R., Bentley, D. R., Chakravarti, A., et al. (2015) · Nature · doi:10.1038/nature15393 · Cited by 18,247
State of play in amyotrophic lateral sclerosis genetics
Renton, A. E., Chiò, A., & Traynor, B. J. (2014) · Nature Neuroscience · doi:10.1038/nn.3584 · Cited by 1,544
Self-citationExome sequencing in amyotrophic lateral sclerosis identifies risk genes and pathways
Cirulli, E. T., Lasseigne, B. N., Petrovski, S., Sapp, P. C., Dion, P. A., Leblond, C. S., Couthouis, J., Lu, Y.-F., Wang, Q., Krueger, B. J., et al. (2015) · Science · doi:10.1126/science.aaa3650 · Cited by 966
Abe, K., Aoki, M., Tsuji, S., Itoyama, Y., Sobue, G., Togo, M., Hamada, C., Tanaka, M., Akimoto, M., Nakamura, K., et al. (2017) · The Lancet Neurology · doi:10.1016/s1474-4422(17)30115-1 · Cited by 935
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
Walsh, R., Thomson, K. L., Ware, J. S., Funke, B. H., Woodley, J., McGuire, K. J., Mazzarotto, F., Blair, E., Seller, A., Taylor, J. C., et al. (2017) · Genetics in Medicine · doi:10.1038/gim.2016.90 · Cited by 734
Miller, T. M., Pestronk, A., David, W., Rothstein, J., Simpson, E., Appel, S. H., Andres, P. L., Mahoney, K., Allred, P., Alexander, K., et al. (2013) · The Lancet Neurology · doi:10.1016/s1474-4422(13)70061-9 · Cited by 617
PARALS Registry, van Rheenen, W., SLALOM Group, SLAP Registry, FALS Sequencing Consortium, SLAGEN Consortium, NNIPPS Study Group, Shatunov, A., Dekker, A. M., McLaughlin, R. L., et al. (2016) · Nature Genetics · doi:10.1038/ng.3622 · Cited by 571
Jiang, J., Zhu, Q., Gendron, T. F., Saberi, S., McAlonis-Downes, M., Seelman, A., Stauffer, J. E., Jafar-nejad, P., Drenner, K., Schulte, D., et al. (2016) · Neuron · doi:10.1016/j.neuron.2016.04.006 · Cited by 536
Cited by
Stress granules and neurodegeneration
Wolozin, B., & Ivanov, P. (2019) · Nature Reviews Neuroscience · doi:10.1038/s41583-019-0222-5 · Cited by 810
Genome-wide Analyses Identify KIF5A as a Novel ALS Gene
Nicolas, A., Kenna, K. P., Renton, A. E., Ticozzi, N., Faghri, F., Chia, R., Dominov, J. A., Kenna, B. J., Nalls, M. A., Keagle, P., et al. (2018) · Neuron · doi:10.1016/j.neuron.2018.02.027 · Cited by 678
Self-citationRecent advances in the diagnosis and prognosis of amyotrophic lateral sclerosis
Goutman, S. A., Hardiman, O., Al-Chalabi, A., Chió, A., Savelieff, M. G., Kiernan, M. C., & Feldman, E. L. (2022) · The Lancet Neurology · doi:10.1016/s1474-4422(21)00465-8 · Cited by 493
Self-citationALS Genetics: Gains, Losses, and Implications for Future Therapies
Kim, G., Gautier, O., Tassoni-Tsuchida, E., Ma, X. R., & Gitler, A. D. (2020) · Neuron · doi:10.1016/j.neuron.2020.08.022 · Cited by 370
Tam, O. H., Rozhkov, N. V., Shaw, R., Kim, D., Hubbard, I., Fennessey, S., Propp, N., Phatnani, H., Kwan, J., Sareen, D., et al. (2019) · Cell Reports · doi:10.1016/j.celrep.2019.09.066 · Cited by 327
Metadata
- Authors
- Chia, R., Chiò, A., & Traynor, B. J.
- Venue
- The Lancet Neurology
- Publisher
- Elsevier BV
- Published
- 2018-01
- Volume
- 17
- Issue
- 1
- Pages
- 94-102
- ISSN
- 1474-4422 (ISSN-L)
- OpenAlex
- W2769269450
- Cited by
- 573
- References
- 68
- FWCI
- 26.52
- Type
- journal article
- Language
- en
- Open access
- green
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