The DOI matches its Crossref record; 52 of the 52 references it cites were found in a registry or an index.
NEK1 variants confer susceptibility to amyotrophic lateral sclerosis
Open accessAbstract
To identify genetic factors contributing to amyotrophic lateral sclerosis (ALS), we conducted whole-exome analyses of 1,022 index familial ALS (FALS) cases and 7,315 controls. In a new screening strategy, we performed gene-burden analyses trained with established ALS genes and identified a significant association between loss-of-function (LOF) NEK1 variants and FALS risk. Independently, autozygosity mapping for an isolated community in the Netherlands identified a NEK1 p.Arg261His variant as a candidate risk factor. Replication analyses of sporadic ALS (SALS) cases and independent control cohorts confirmed significant disease association for both p.Arg261His (10,589 samples analyzed) and NEK1 LOF variants (3,362 samples analyzed). In total, we observed NEK1 risk variants in nearly 3% of ALS cases. NEK1 has been linked to several cellular functions, including cilia formation, DNA-damage response, microtubule stability, neuronal morphology and axonal polarity. Our results provide new and important insights into ALS etiopathogenesis and genetic etiology.
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PLINK: a tool set for whole-genome association and population-based linkage analyses.
Purcell, S., Neale, B., Todd-Brown, K., Thomas, L., Ferreira, M. A. R., Bender, D., Maller, J., Sklar, P., de Bakker, P. I. W., Daly, M. J., et al. (2007) · The American Journal of Human Genetics · doi:10.1086/519795 · Cited by 34,089
Cingolani, P., Platts, A., Wang, L. L., Coon, M., Nguyen, T., Wang, L., Land, S. J., Lu, X., & Ruden, D. M. (2012) · Fly · doi:10.4161/fly.19695 · Cited by 11,816
A framework for variation discovery and genotyping using next-generation DNA sequencing data
DePristo, M. A., Banks, E., Poplin, R., Garimella, K. V., Maguire, J. R., Hartl, C., Philippakis, A. A., del Angel, G., Rivas, M. A., Hanna, M., et al. (2011) · Nature Genetics · doi:10.1038/ng.806 · Cited by 11,456
GCTA: a tool for genome-wide complex trait analysis
Yang, J., Lee, S. H., Goddard, M. E., & Visscher, P. M. (2011) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2010.11.011 · Cited by 8,279
An integrated map of genetic variation from 1,092 human genomes
The 1000 Genomes Project Consortium (2012) · Nature · doi:10.1038/nature11632 · Cited by 7,711
Kumar, P., Henikoff, S., & Ng, P. C. (2009) · Nature Protocols · doi:10.1038/nprot.2009.86 · Cited by 6,521
A general framework for estimating the relative pathogenicity of human genetic variants
Kircher, M., Witten, D. M., Jain, P., O'Roak, B. J., Cooper, G. M., & Shendure, J. (2014) · Nature Genetics · doi:10.1038/ng.2892 · Cited by 6,183
METAL: fast and efficient meta-analysis of genomewide association scans
Willer, C. J., Li, Y., & Abecasis, G. R. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq340 · Cited by 5,205
Predicting Functional Effect of Human Missense Mutations Using PolyPhen‐2
Adzhubei, I., Jordan, D. M., & Sunyaev, S. R. (2013) · Current Protocols in Human Genetics · doi:10.1002/0471142905.hg0720s76 · Cited by 3,705
Robust relationship inference in genome-wide association studies
Manichaikul, A., Mychaleckyj, J. C., Rich, S. S., Daly, K., Sale, M., & Chen, W.-M. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq559 · Cited by 3,541
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Self-citationNovel genes associated with amyotrophic lateral sclerosis: diagnostic and clinical implications
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Self-citationMead, R. J., Shan, N., Reiser, H. J., Marshall, F., & Shaw, P. J. (2023) · Nature Reviews Drug Discovery · doi:10.1038/s41573-022-00612-2 · Cited by 505
Self-citationALS Genetics: Gains, Losses, and Implications for Future Therapies
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Metadata
- Authors
- SLAGEN Consortium, Kenna, K. P., van Doormaal, P. T. C., Dekker, A. M., Ticozzi, N., Kenna, B. J., Diekstra, F. P., van Rheenen, W., van Eijk, K. R., Jones, A. R., Keagle, P., Shatunov, A., Sproviero, W., Smith, B. N., van Es, M. A., Topp, S. D., Kenna, A., Miller, J. W., Fallini, C., Tiloca, C., McLaughlin, R. L., Vance, C., Troakes, C., Colombrita, C., Mora, G., Calvo, A., Verde, F., Al-Sarraj, S., King, A., Calini, D., de Belleroche, J., Baas, F., van der Kooi, A. J., de Visser, M., ten Asbroek, A. L. M. A., Sapp, P. C., McKenna-Yasek, D., Polak, M., Asress, S., Muñoz-Blanco, J. L., Strom, T. M., Meitinger, T., Morrison, K. E., Lauria, G., Williams, K. L., Leigh, P. N., Nicholson, G. A., Blair, I. P., Leblond, C. S., Dion, P. A., Rouleau, G. A., Pall, H., Shaw, P. J., Turner, M. R., Talbot, K., Taroni, F., Boylan, K. B., Van Blitterswijk, M., Rademakers, R., Esteban-Pérez, J., García-Redondo, A., Van Damme, P., Robberecht, W., Chio, A., Gellera, C., Drepper, C., Sendtner, M., Ratti, A., Glass, J. D., Mora, J. S., Basak, N. A., Hardiman, O., Ludolph, A. C., Andersen, P. M., Weishaupt, J. H., Brown, R. H., Al-Chalabi, A., Silani, V., Shaw, C. E., van den Berg, L. H., Veldink, J. H., & Landers, J. E.
- Venue
- Nature Genetics
- Published
- 2016-07-25
- Volume
- 48
- Issue
- 9
- Pages
- 1037-1042
- ISSN
- 1061-4036 (ISSN-L)
- 1546-1718
- OpenAlex
- W2498993352
- Cited by
- 287
- References
- 52
- FWCI
- 21.03
- Type
- journal article
- Language
- en
- Open access
- bronze
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- SLAGEN Consortium, Kenna, K. P., van Doormaal, P. T. C., Dekker, A. M., Ticozzi, N., Kenna, B. J., Diekstra, F. P., van Rheenen, W., van Eijk, K. R., Jones, A. R., Keagle, P., Shatunov, A., Sproviero, W., Smith, B. N., van Es, M. A., Topp, S. D., Kenna, A., Miller, J. W., Fallini, C., . . . Landers, J. E. (2016). NEK1 variants confer susceptibility to amyotrophic lateral sclerosis. Nature Genetics. https://doi.org/10.1038/ng.3626
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