Common and rare variant association analyses in amyotrophic lateral sclerosis identify 15 risk loci with distinct genetic architectures and neuron-specific biology
Open accessPublished version of a preprint
Abstract
Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease with a lifetime risk of one in 350 people and an unmet need for disease-modifying therapies. We conducted a cross-ancestry genome-wide association study (GWAS) including 29,612 patients with ALS and 122,656 controls, which identified 15 risk loci. When combined with 8,953 individuals with whole-genome sequencing (6,538 patients, 2,415 controls) and a large cortex-derived expression quantitative trait locus (eQTL) dataset (MetaBrain), analyses revealed locus-specific genetic architectures in which we prioritized genes either through rare variants, short tandem repeats or regulatory effects. ALS-associated risk loci were shared with multiple traits within the neurodegenerative spectrum but with distinct enrichment patterns across brain regions and cell types. Of the environmental and lifestyle risk factors obtained from the literature, Mendelian randomization analyses indicated a causal role for high cholesterol levels. The combination of all ALS-associated signals reveals a role for perturbations in vesicle-mediated transport and autophagy and provides evidence for cell-autonomous disease initiation in glutamatergic neurons.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The observation of distinct tissue enrichment for MS severity versus susceptibility is unique to MS.
“Although divergent genetic determinants of susceptibility and progression have been noted in other conditions8,9,36, the observation of distinct tissue enrichment is to our knowledge unique to MS.”
From Locus for severity implicates CNS resilience in progression of multiple sclerosis (2023) · cites this paper as [36]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
A 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 · see citing works
A method and server for predicting damaging missense mutations.
Adzhubei, I. A., Schmidt, S., Peshkin, L., Ramensky, V. E., Gerasimova, A., Bork, P., Kondrashov, A. S., & Sunyaev, S. R. (2010) · Nature Methods · doi:10.1038/nmeth0410-248 · Cited by 13,194 · see citing works
Biological insights from 108 schizophrenia-associated genetic loci
Schizophrenia Working Group of the Psychiatric Genomics Consortium (2014) · Nature · doi:10.1038/nature13595 · Cited by 7,577 · see citing works
LD Score regression distinguishes confounding from polygenicity in genome-wide association studies
Schizophrenia Working Group of the Psychiatric Genomics Consortium, Bulik-Sullivan, B. K., Loh, P.-R., Finucane, H. K., Ripke, S., Yang, J., Patterson, N., Daly, M. J., Price, A. L., & Neale, B. M. (2015) · Nature Genetics · doi:10.1038/ng.3211 · Cited by 5,559 · see citing works
Self-citationMETAL: 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 · see citing works
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-citationGREAT improves functional interpretation of cis-regulatory regions
McLean, C. Y., Bristor, D., Hiller, M., Clarke, S. L., Schaar, B. T., Lowe, C. B., Wenger, A. M., & Bejerano, G. (2010) · Nature Biotechnology · doi:10.1038/nbt.1630 · Cited by 4,502 · see citing works
A 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
Self-citationGiambartolomei, C., Vukcevic, D., Schadt, E. E., Franke, L., Hingorani, A. D., Wallace, C., & Plagnol, V. (2014) · PLoS Genetics · doi:10.1371/journal.pgen.1004383 · Cited by 4,261 · see citing works
MAGMA: Generalized Gene-Set Analysis of GWAS Data
de Leeuw, C. A., Mooij, J. M., Heskes, T., & Posthuma, D. (2015) · PLOS Computational Biology · doi:10.1371/journal.pcbi.1004219 · Cited by 3,653 · see citing works
Alzheimer Disease Genetics Consortium (ADGC), Kunkle, B. W., The European Alzheimer’s Disease Initiative (EADI), Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium (CHARGE), Genetic and Environmental Risk in AD/Defining Genetic, P. A. E. R. F. A. D. C. (., Grenier-Boley, B., Sims, R., Bis, J. C., Damotte, V., Naj, A. C., et al. (2019) · Nature Genetics · doi:10.1038/s41588-019-0358-2 · Cited by 2,946 · see citing works
Self-citationUnraveling the polygenic architecture of complex traits using blood eQTL metaanalysis
Võsa, U., Claringbould, A., Westra, H.-J., Bonder, M. J., Deelen, P., Zeng, B., Kirsten, H., Saha, A., Kreuzhuber, R., Kasela, S., et al. (2018) · doi:10.1101/447367 · Cited by 2,607 · see citing works
Self-citation23andMe Research Team, Lee, J. J., COGENT (Cognitive Genomics Consortium), Social Science Genetic Association Consortium, Wedow, R., Okbay, A., Kong, E., Maghzian, O., Zacher, M., Nguyen-Viet, T. A., et al. (2018) · Nature Genetics · doi:10.1038/s41588-018-0147-3 · Cited by 2,470 · see citing works
Self-citationIdentification of common genetic risk variants for autism spectrum disorder
Autism Spectrum Disorder Working Group of the Psychiatric Genomics Consortium, Grove, J., BUPGEN, Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, 23andMe Research Team, Ripke, S., Als, T. D., Mattheisen, M., Walters, R. K., Won, H., et al. (2019) · Nature Genetics · doi:10.1038/s41588-019-0344-8 · Cited by 2,421 · see citing works
Self-citationMolecular diversity and specializations among the cells of the adult mouse brain
Saunders, A., Macosko, E. Z., Wysoker, A., Goldman, M., Krienen, F. M., de Rivera, H., Bien, E., Baum, M., Bortolin, L., Wang, S., et al. (2018) · Cell · doi:10.1016/j.cell.2018.07.028 · Cited by 1,847 · see citing works
Conserved cell types with divergent features in human versus mouse cortex
Hodge, R. D., Bakken, T. E., Miller, J. A., Smith, K. A., Barkan, E. R., Graybuck, L. T., Close, J. L., Long, B., Johansen, N., Penn, O., et al. (2019) · Nature · doi:10.1038/s41586-019-1506-7 · Cited by 1,775 · see citing works
Genetic Investigation of ANthropometric Traits (GIANT) Consortium, Yang, J., DIAbetes Genetics Replication And Meta-analysis (DIAGRAM) Consortium, Ferreira, T., Morris, A. P., Medland, S. E., Madden, P. A. F., Heath, A. C., Martin, N. G., Montgomery, G. W., et al. (2012) · Nature Genetics · doi:10.1038/ng.2213 · Cited by 1,712 · see citing works
Multiple sclerosis genomic map implicates peripheral immune cells and microglia in susceptibility
International Multiple Sclerosis Genetics Consortium, Patsopoulos, N. A., Baranzini, S. E., Santaniello, A., Shoostari, P., Cotsapas, C., Wong, G., Beecham, A. H., James, T., Replogle, J., et al. (2019) · Science · doi:10.1126/science.aav7188 · Cited by 1,471 · see citing works
Self-citationHaploinsufficiency 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
Self-citationNievergelt, C. M., Maihofer, A. X., Klengel, T., Atkinson, E. G., Chen, C.-Y., Choi, K. W., Coleman, J. R. I., Dalvie, S., Duncan, L. E., Gelernter, J., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-12576-w · Cited by 635 · see citing works
Self-citationTDP-43 represses cryptic exon inclusion in the FTD-ALS gene UNC13A
Ma, X. R., Prudencio, M., Koike, Y., Vatsavayai, S. C., Kim, G., Harbinski, F., Briner, A., Rodriguez, C. M., Guo, C., Akiyama, T., et al. (2022) · Nature · doi:10.1038/s41586-022-04424-7 · Cited by 574 · see citing works
GWAS on family history of Alzheimer’s disease
Marioni, R. E., Harris, S. E., Zhang, Q., McRae, A. F., Hagenaars, S. P., Hill, W. D., Davies, G., Ritchie, C. W., Gale, C. R., Starr, J. M., et al. (2018) · Translational Psychiatry · doi:10.1038/s41398-018-0150-6 · Cited by 564 · see citing works
Signatures of negative selection in the genetic architecture of human complex traits
Zeng, J., de Vlaming, R., Wu, Y., Robinson, M. R., Lloyd-Jones, L. R., Yengo, L., Yap, C. X., Xue, A., Sidorenko, J., McRae, A. F., et al. (2018) · Nature Genetics · doi:10.1038/s41588-018-0101-4 · Cited by 391 · see citing works
Frontotemporal 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-citationHannon, E., Dempster, E., Viana, J., Burrage, J., Smith, A. R., Macdonald, R., St Clair, D., Mustard, C., Breen, G., Therman, S., et al. (2016) · Genome Biology · doi:10.1186/s13059-016-1041-x · Cited by 349 · see citing works
Self-citationWoo, D., Falcone, G. J., Devan, W. J., Brown, W. M., Biffi, A., Howard, T. D., Anderson, C. D., Brouwers, H. B., Valant, V., Battey, T. W. K., et al. (2014) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2014.02.012 · Cited by 290 · see citing works
Fraldi, A., Annunziata, F., Lombardi, A., Kaiser, H., Medina, D. L., Spampanato, C., Fedele, A. O., Polishchuk, R., Sorrentino, N. C., Simons, K., et al. (2010) · The EMBO Journal · doi:10.1038/emboj.2010.237 · Cited by 225 · see citing works
Kouri, N., Ross, O. A., Dombroski, B., Younkin, C. S., Serie, D. J., Soto-Ortolaza, A., Baker, M., Finch, N. C. A., Yoon, H., Kim, J., et al. (2015) · Nature Communications · doi:10.1038/ncomms8247 · Cited by 219 · see citing works
Self-citationLuo, Y., de Lange, K. M., Jostins, L., Moutsianas, L., Randall, J., Kennedy, N. A., Lamb, C. A., McCarthy, S., Ahmad, T., Edwards, C., et al. (2017) · Nature Genetics · doi:10.1038/ng.3761 · Cited by 162 · see citing works
Deelen, P., van Dam, S., Herkert, J. C., Karjalainen, J. M., Brugge, H., Abbott, K. M., van Diemen, C. C., van der Zwaag, P. A., Gerkes, E. H., Zonneveld-Huijssoon, E., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-10649-4 · Cited by 138 · see citing works
Self-citationCholesterol impairs autophagy-mediated clearance of amyloid beta while promoting its secretion
Barbero-Camps, E., Roca-Agujetas, V., Bartolessis, I., de Dios, C., Fernández-Checa, J. C., Marí, M., Morales, A., Hartmann, T., & Colell, A. (2018) · Autophagy · doi:10.1080/15548627.2018.1438807 · Cited by 125 · see citing works
Flagged first, then by citations
Research works printed but not linked: 95
- [1]van Es MA Amyotrophic lateral sclerosis Lancet 2017 390 2084 2098 28552366
- [2]Al-Chalabi A van den Berg LH Veldink JH Gene discovery in amyotrophic lateral sclerosis: implications for clinical management Nat. Rev. Neurol. 2017 13 96 104 27982040
- [3]Trabjerg BB ALS in Danish registries: heritability and links to psychiatric and cardiovascular disorders Neurol. Genet. 2020 6 e398 32211514 PMC7073454
- [4]Ryan M Heverin M McLaughlin RL Hardiman O Lifetime risk and heritability of amyotrophic lateral sclerosis JAMA Neurol. 2019 76 1367 1374 31329211 PMC6646974
- [5]Byrne S Elamin M Bede P Hardiman O Absence of consensus in diagnostic criteria for familial neurodegenerative diseases J. Neurol. Neurosurg. Psychiatry 2012 83 365 367 22399794
- [6]Cirulli ET Exome sequencing in amyotrophic lateral sclerosis identifies risk genes and pathways Science 2015 347 1436 1441 25700176 PMC4437632
- [8]Kenna KP NEK1 variants confer susceptibility to amyotrophic lateral sclerosis Nat. Genet. 2016 48 1037 1042 27455347 PMC5560030
- [9]Brenner D NEK1 mutations in familial amyotrophic lateral sclerosis Brain 2016 139 e28 26945885
- [10]Majounie E Frequency of the C9orf72 hexanucleotide repeat expansion in patients with amyotrophic lateral sclerosis and frontotemporal dementia: a cross-sectional study Lancet Neurol. 2012 11 323 330 22406228 PMC3322422
- [11]Nicolas A Genome-wide analyses identify KIF5A as a novel ALS gene Neuron 2018 97 1268 1283 29566793 PMC5867896
- [12]van Es MA Genome-wide association study identifies 19p13.3 (UNC13A) and 9p21.2 as susceptibility loci for sporadic amyotrophic lateral sclerosis Nat. Genet. 2009 41 1083 1087 19734901
- [13]Laaksovirta H Chromosome 9p21 in amyotrophic lateral sclerosis in Finland: a genome-wide association study Lancet Neurol. 2010 9 978 985 20801718 PMC2965392
- [14]van Rheenen W Genome-wide association analyses identify new risk variants and the genetic architecture of amyotrophic lateral sclerosis Nat. Genet. 2016 48 1043 1048 27455348 PMC5556360
- [15]Benyamin B Cross-ethnic meta-analysis identifies association of the GPX3–TNIP1 locus with amyotrophic lateral sclerosis Nat. Commun. 2017 8 611 28931804 PMC5606989
- [16]Nakamura R A multi-ethnic meta-analysis identifies novel genes, including ACSL5, associated with amyotrophic lateral sclerosis Commun. Biol. 2020 3 526 32968195 PMC7511394
- [19]Diekstra FP C9orf72 and UNC13A are shared risk loci for amyotrophic lateral sclerosis and frontotemporal dementia: a genome-wide meta-analysis Ann. Neurol. 2014 76 120 133 24931836 PMC4137231
- [20]Chen JA Joint genome-wide association study of progressive supranuclear palsy identifies novel susceptibility loci and genetic correlation to neurodegenerative diseases Mol. Neurodegener. 2018 13 41 30089514 PMC6083608
- [21]McCarthy S A reference panel of 64,976 haplotypes for genotype imputation Nat. Genet. 2016 48 1279 1283 27548312 PMC5388176
- [22]Iacoangeli A Genome-wide meta-analysis finds the ACSL5–ZDHHC6 locus is associated with ALS and links weight loss to the disease genetics Cell Rep. 2020 33 108323 33113361 PMC7610013
- [23]Võsa U Large-scale cis- and trans-eQTL analyses identify thousands of genetic loci and polygenic scores that regulate blood gene expression Nat. Genet. 2021 53 1300 1310 34475573 PMC8432599
- [24]de Klein, N. et al. Brain expression quantitative trait locus and network analysis reveals downstream effects and putative drivers for brain-related diseases. Preprint at bioRxiv10.1101/2021.03.01.433439 (2021). PMC10011140 36823318
- [25]Pidsley R Critical evaluation of the Illumina MethylationEPIC BeadChip microarray for whole-genome DNA methylation profiling Genome Biol. 2016 17 208 27717381 PMC5055731
- [26]Shireby GL Recalibrating the epigenetic clock: implications for assessing biological age in the human cortex Brain 2020 143 3763 3775 33300551 PMC7805794
- [28]Fang X The NEK1 interactor, C21ORF2, is required for efficient DNA damage repair Acta Biochim. Biophys. Sin. 2015 47 834 841 26290490 PMC4581587
- [29]Brown, A.-L. et al. Common ALS/FTD risk variants in UNC13A exacerbate its cryptic splicing and loss upon TDP-43 mislocalization. Preprint at bioRxiv10.1101/2021.04.02.438170 (2021).
- [31]Jansen IE Genome-wide meta-analysis identifies new loci and functional pathways influencing Alzheimer’s disease risk Nat. Genet. 2019 51 404 413 30617256 PMC6836675
- [33]Watanabe K Taskesen E van Bochoven A Posthuma D Functional mapping and annotation of genetic associations with FUMA Nat. Commun. 2017 8 1826 29184056 PMC5705698
- [34]Watanabe K Umićević Mirkov M de Leeuw CA van den Heuvel MP Posthuma D Genetic mapping of cell type specificity for complex traits Nat. Commun. 2019 10 3222 31324783 PMC6642112
- [36]Hop, P. J. et al. Genome-wide study of DNA methylation in amyotrophic lateral sclerosis identifies differentially methylated loci and implicates metabolic, inflammatory and cholesterol pathways. Preprint at medRxiv10.1101/2021.03.12.21253115 (2021).
- [37]Davies NM Holmes MV Smith GD Reading Mendelian randomisation studies: a guide, glossary, and checklist for clinicians BMJ 2018 362 k601 30002074 PMC6041728
- [38]Bowden J Improving the visualization, interpretation and analysis of two-sample summary data Mendelian randomization via the radial plot and radial regression Int. J. Epidemiol. 2018 47 1264 1278 29961852 PMC6124632
- [39]Munafò MR Tilling K Taylor AE Evans DM Davey Smith G Collider scope: when selection bias can substantially influence observed associations Int. J. Epidemiol. 2018 47 226 235 29040562 PMC5837306
- [40]Watanabe Y An amyotrophic lateral sclerosis-associated mutant of C21ORF2 is stabilized by NEK1-mediated hyperphosphorylation and the inability to bind FBXO3 iScience 2020 23 101491 32891887 PMC7481237
- [41]Wood AR Defining the role of common variation in the genomic and biological architecture of adult human height Nat. Genet. 2014 46 1173 1186 25282103 PMC4250049
- [43]Kathiresan S Six new loci associated with blood low-density lipoprotein cholesterol, high-density lipoprotein cholesterol or triglycerides in humans Nat. Genet. 2008 40 189 197 18193044 PMC2682493
- [44]Saez-Atienzar S Genetic analysis of amyotrophic lateral sclerosis identifies contributing pathways and cell types Sci. Adv. 2021 7 eabd9036 33523907 PMC7810371
- [45]Yamanaka K Mutant SOD1 in cell types other than motor neurons and oligodendrocytes accelerates onset of disease in ALS mice Proc. Natl Acad. Sci. USA 2008 105 7594 7599 18492803 PMC2396671
- [46]Ralph GS Silencing mutant SOD1 using RNAi protects against neurodegeneration and extends survival in an ALS model Nat. Med. 2005 11 429 433 15768029
- [47]Blokhuis AM Groen EJN Koppers M van den Berg LH Pasterkamp RJ Protein aggregation in amyotrophic lateral sclerosis Acta Neuropathol. 2013 125 777 794 23673820 PMC3661910
- [48]Seelen M Prior medical conditions and the risk of amyotrophic lateral sclerosis J. Neurol. 2014 261 1949 1956 25059395
- [49]Bandres-Ciga S Shared polygenic risk and causal inferences in amyotrophic lateral sclerosis Ann. Neurol. 2019 85 470 481 30723964 PMC6450729
- [50]Armon C Smoking is a cause of ALS. High LDL-cholesterol levels? Unsure Ann. Neurol. 2019 85 465 469 30883903
- [51]Turner MR Wotton C Talbot K Goldacre MJ Cardiovascular fitness as a risk factor for amyotrophic lateral sclerosis: indirect evidence from record linkage study J. Neurol. Neurosurg. Psychiatry 2012 83 395 398 22072701
- [52]Singh R Autophagy regulates lipid metabolism Nature 2009 458 1131 1135 19339967 PMC2676208
- [53]Koga H Kaushik S Cuervo AM Altered lipid content inhibits autophagic vesicular fusion FASEB J. 2010 24 3052 3065 20375270 PMC2909278
- [56]Brooks, B. R., Miller, R. G., Swash, M. & Munsat, T. L. El Escorial revisited: revised criteria for the diagnosis of amyotrophic lateral sclerosis. Amyotroph. Lateral Scler. Other Motor Neuron Disord. 1, 293–299 (2000). 11464847
- [57]Zhou W Efficiently controlling for case–control imbalance and sample relatedness in large-scale genetic association studies Nat. Genet. 2018 50 1335 1341 30104761 PMC6119127
- [60]Brown, B. C. et al. Transethnic genetic-correlation estimates from summary statistics. Am. J. Hum. Genet. 99, 76–88 (2016). PMC5005434 27321947
- [62]Yang J Lee SH Goddard ME Visscher PM GCTA: a tool for genome-wide complex trait analysis Am. J. Hum. Genet. 2011 88 76 82 21167468 PMC3014363
- [63]Project MinE ALS Sequencing Consortium. Project MinE: study design and pilot analyses of a large-scale whole-genome sequencing study in amyotrophic lateral sclerosis. Eur. J. Hum. Genet. 26, 1537–1546 (2018). PMC6138692 29955173
- [64]Spek RAAvander The project MinE databrowser: bringing large-scale whole-genome sequencing in ALS to researchers and the public Amyotroph. Lateral Scler. Frontotemporal Degener. 2019 20 432 440 31280677 PMC7893599
- [65]Genovese G Increased burden of ultra-rare protein-altering variants among 4,877 individuals with schizophrenia Nat. Neurosci. 2016 19 1433 1441 27694994 PMC5104192
- [66]Cingolani P A program for annotating and predicting the effects of single nucleotide polymorphisms, SnpEff Fly 2012 6 80 92 22728672 PMC3679285
- [67]Vaser R Adusumalli S Leng SN Sikic M Ng PC SIFT missense predictions for genomes Nat. Protoc. 2016 11 1 9 26633127
- [69]Chun S Fay JC Identification of deleterious mutations within three human genomes Genome Res. 2009 19 1553 1561 19602639 PMC2752137
- [70]Schwarz JM Cooper DN Schuelke M Seelow D MutationTaster2: mutation prediction for the deep-sequencing age Nat. Methods 2014 11 361 362 24681721
- [71]Reva B Antipin Y Sander C Predicting the functional impact of protein mutations: application to cancer genomics Nucleic Acids Res. 2011 39 e118 21727090 PMC3177186
- [72]Choi Y Chan AP PROVEAN web server: a tool to predict the functional effect of amino acid substitutions and indels Bioinformatics 2015 31 2745 2747 25851949 PMC4528627
- [73]Dolzhenko E Detection of long repeat expansions from PCR-free whole-genome sequence data Genome Res. 2017 27 1895 1903 28887402 PMC5668946
- [74]Dolzhenko E ExpansionHunter Denovo: a computational method for locating known and novel repeat expansions in short-read sequencing data Genome Biol. 2020 21 102 32345345 PMC7187524
- [75]Mousavi N Shleizer-Burko S Yanicky R Gymrek M Profiling the genome-wide landscape of tandem repeat expansions Nucleic Acids Res. 2019 47 e90 31194863 PMC6735967
- [76]Wu Y Integrative analysis of omics summary data reveals putative mechanisms underlying complex traits Nat. Commun. 2018 9 918 29500431 PMC5834629
- [77]Zhu Z Integration of summary data from GWAS and eQTL studies predicts complex trait gene targets Nat. Genet. 2016 48 481 487 27019110
- [78]Barbeira AN Exploring the phenotypic consequences of tissue specific gene expression variation inferred from GWAS summary statistics Nat. Commun. 2018 9 1825 29739930 PMC5940825
- [79]Gusev A Integrative approaches for large-scale transcriptome-wide association studies Nat. Genet. 2016 48 245 252 26854917 PMC4767558
- [80]Hannon E Leveraging DNA-methylation quantitative-trait loci to characterize the relationship between methylomic variation, gene expression, and complex traits Am. J. Hum. Genet. 2018 103 654 665 30401456 PMC6217758
- [81]Hop PJ Genome-wide identification of genes regulating DNA methylation using genetic anchors for causal inference Genome Biol. 2020 21 220 32859263 PMC7453518
- [83]Wei T CpGtools: a Python package for DNA methylation analysis Bioinformatics 2021 37 1598 1599 31808791 PMC8275978
- [85]Lloyd-Jones LR Improved polygenic prediction by Bayesian multiple regression on summary statistics Nat. Commun. 2019 10 5086 31704910 PMC6841727
- [87]Nalls MA Identification of novel risk loci, causal insights, and heritable risk for Parkinson’s disease: a meta-analysis of genome-wide association studies Lancet Neurol. 2019 18 1091 1102 31701892 PMC8422160
- [92]Malik R Multiancestry genome-wide association study of 520,000 subjects identifies 32 loci associated with stroke and stroke subtypes Nat. Genet. 2018 50 524 537 29531354 PMC5968830
- [94]Bakker MK Genome-wide association study of intracranial aneurysms identifies 17 risk loci and genetic overlap with clinical risk factors Nat. Genet. 2020 52 1303 1313 33199917 PMC7116530
- [95]Watson HJ Genome-wide association study identifies eight risk loci and implicates metabo–psychiatric origins for anorexia nervosa Nat. Genet. 2019 51 1207 1214 31308545 PMC6779477
- [96]International Obsessive Compulsive Disorder Foundation Genetics Collaborative (IOCDF-GC) and OCD Collaborative Genetics Association Studies (OCGAS). Revealing the complex genetic architecture of obsessive–compulsive disorder using meta-analysis. Mol. Psychiatry23, 1181–1188 (2018). PMC6660151 28761083
- [97]Otowa T Meta-analysis of genome-wide association studies of anxiety disorders Mol. Psychiatry 2016 21 1391 1399 26754954 PMC4940340
- [99]Wray NR Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression Nat. Genet. 2018 50 668 681 29700475 PMC5934326
- [100]Stahl EA Genome-wide association study identifies 30 loci associated with bipolar disorder Nat. Genet. 2019 51 793 803 31043756 PMC6956732
- [102]Yu D Interrogating the genetic determinants of Tourette’s syndrome and other tic disorders through genome-wide association studies Am. J. Psychiatry 2019 176 217 227 30818990 PMC6677250
- [104]Demontis D Discovery of the first genome-wide significant risk loci for attention deficit/hyperactivity disorder Nat. Genet. 2019 51 63 75 30478444 PMC6481311
- [106]Darmanis S A survey of human brain transcriptome diversity at the single cell level Proc. Natl Acad. Sci. USA 2015 112 7285 7290 26060301 PMC4466750
- [109]Lamparter D Marbach D Rueedi R Kutalik Z Bergmann S Fast and rigorous computation of gene and pathway scores from SNP-based summary statistics PLoS Comput. Biol. 2016 12 e1004714 26808494 PMC4726509
- [111]Yengo L Meta-analysis of genome-wide association studies for height and body mass index in ∼700000 individuals of European ancestry Hum. Mol. Genet. 2018 27 3641–3649 30124842 PMC6488973
- [113]Liu M Association studies of up to 1.2 million individuals yield new insights into the genetic etiology of tobacco and alcohol use Nat. Genet. 2019 51 237 244 30643251 PMC6358542
- [114]Sudlow C UK Biobank: an open access resource for identifying the causes of a wide range of complex diseases of middle and old age PLoS Med. 2015 12 e1001779 25826379 PMC4380465
- [115]van der Harst P Verweij N Identification of 64 novel genetic loci provides an expanded view on the genetic architecture of coronary artery disease Circ. Res. 2018 122 433 443 29212778 PMC5805277
- [116]Evangelou E Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits Nat. Genet. 2018 50 1412 1425 30224653 PMC6284793
- [117]Vuckovic D The polygenic and monogenic basis of blood traits and diseases Cell 2020 182 1214 1231 32888494 PMC7482360
- [118]Ligthart S Genome analyses of >200,000 individuals identify 58 loci for chronic inflammation and highlight pathways that link inflammation and complex disorders Am. J. Hum. Genet. 2018 103 691 706 30388399 PMC6218410
- [119]Willer CJ Discovery and refinement of loci associated with lipid levels Nat. Genet. 2013 45 1274 1283 24097068 PMC3838666
- [120]Zeng P Wang T Zheng J Zhou X Causal association of type 2 diabetes with amyotrophic lateral sclerosis: new evidence from Mendelian randomization using GWAS summary statistics BMC Med. 2019 17 225 31796040 PMC6892209
- [122]Hemani, G. et al. The MR-Base platform supports systematic causal inference across the human phenome. eLife7, e34408 (2018). PMC5976434 29846171
- [123]Smith GD Davey Smith G Hemani G Mendelian randomization: genetic anchors for causal inference in epidemiological studies Hum. Mol. Genet. 2014 23 R89 R98 25064373 PMC4170722
- [124]Hemani G Tilling K Davey Smith G Orienting the causal relationship between imprecisely measured traits using GWAS summary data PLoS Genet. 2017 13 e1007081 29149188 PMC5711033
- [125]Burgess S Thompson SG Multivariable Mendelian randomization: the use of pleiotropic genetic variants to estimate causal effects Am. J. Epidemiol. 2015 181 251 260 25632051 PMC4325677
- [126]Sanderson E Davey Smith G Windmeijer F Bowden J An examination of multivariable Mendelian randomization in the single-sample and two-sample summary data settings Int. J. Epidemiol. 2019 48 713 727 30535378 PMC6734942
Cited by
Sorted by citations
Mead, 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 · see citing works
Self-citationde Klein, N., Tsai, E. A., Vochteloo, M., Baird, D., Huang, Y., Chen, C.-Y., van Dam, S., Oelen, R., Deelen, P., Bakker, O. B., et al. (2023) · Nature Genetics · doi:10.1038/s41588-023-01300-6 · Cited by 272 · see citing works
Self-citationLocus for severity implicates CNS resilience in progression of multiple sclerosis
International Multiple Sclerosis Genetics Consortium, Harroud, A., Stridh, P., McCauley, J. L., Saarela, J., van den Bosch, A. M. R., Engelenburg, H. J., Beecham, A. H., Alfredsson, L., Alikhani, K., et al. (2023) · Nature · doi:10.1038/s41586-023-06250-x · Cited by 243 · see citing works
Self-citationAmyotrophic lateral sclerosis: translating genetic discoveries into therapies
Akçimen, F., Lopez, E. R., Landers, J. E., Nath, A., Chiò, A., Chia, R., & Traynor, B. J. (2023) · Nature Reviews Genetics · doi:10.1038/s41576-023-00592-y · Cited by 234 · see citing works
Self-citationHumphrey, J., Venkatesh, S., Hasan, R., Herb, J. T., de Paiva Lopes, K., Küçükali, F., Byrska-Bishop, M., Evani, U. S., Narzisi, G., Fagegaltier, D., et al. (2023) · Nature Neuroscience · doi:10.1038/s41593-022-01205-3 · Cited by 138 · see citing works
Anderson, A. G., Rogers, B. B., Loupe, J. M., Rodriguez-Nunez, I., Roberts, S. C., White, L. M., Brazell, J. N., Bunney, W. E., Bunney, B. G., Watson, S. J., et al. (2023) · Cell Genomics · doi:10.1016/j.xgen.2023.100263 · Cited by 82 · see citing works
Artificial intelligence for dementia drug discovery and trials optimization
Doherty, T., Yao, Z., Khleifat, A. A. L., Tantiangco, H., Tamburin, S., Albertyn, C., Thakur, L., Llewellyn, D. J., Oxtoby, N. P., Lourida, I., et al. (2023) · Alzheimer's & Dementia · doi:10.1002/alz.13428 · Cited by 48 · see citing works
Eitan, C., Siany, A., Barkan, E., Olender, T., van Eijk, K. R., Moisse, M., Farhan, S. M. K., Danino, Y. M., Yanowski, E., Marmor-Kollet, H., et al. (2022) · Nature Neuroscience · doi:10.1038/s41593-022-01040-6 · Cited by 38 · see citing works
Self-citationMichels, S., Kurz, D., Rosenbohm, A., Peter, R. S., Just, S., Bäzner, H., Börtlein, A., Dettmers, C., Gold, H.-J., Kohler, A., et al. (2023) · Journal of Neurology · doi:10.1007/s00415-023-11630-4 · Cited by 35 · see citing works
Self-citationArtificial intelligence for dementia genetics and omics
Bettencourt, C., Skene, N., Bandres‐Ciga, S., Anderson, E., Winchester, L. M., Foote, I. F., Schwartzentruber, J., Botia, J. A., Nalls, M., Singleton, A., et al. (2023) · Alzheimer's & Dementia · doi:10.1002/alz.13427 · Cited by 30 · see citing works
Self-citationJanse van Mantgem, M. R., van Rheenen, W., Hackeng, A. V., van Es, M. A., Veldink, J. H., van den Berg, L. H., & van Eijk, R. P. A. (2023) · Neurology · doi:10.1212/wnl.0000000000201657 · Cited by 28 · see citing works
SingleBrain: A Meta-Analysis of Single-Nucleus eQTLs Linking Genetic Risk to Brain Disorders
Jang, B., Kailash, B., Tokolyi, A., Cuddleston, W. H., Ravi, A., Jung, S.-H., Naito, T., Kim, B., Kim, M. S., Cho, M., et al. (2025) · doi:10.1101/2025.03.06.25323424 · Cited by 11 · see citing works
EADB, Bellenguez, C., Castillo Morales, A., Amin, N., van der Lee, S. J., Muntaner, M., Parveen, K., Küçükali, F., Grenier-Boley, B., Heikkinen, S., et al. (2026) · Nature Genetics · doi:10.1038/s41588-026-02583-1 · Cited by 7 · see citing works
“49), Lewy body dementia 50 , amyotrophic lateral sclerosis 51 , educational attainment 52 , stroke and its subtypes 53 and 11 NPEs 17 .”
Self-citationWestern, D., Yang, C., Timsina, J., Liu, M., Wang, C., Campbell, M. C., Kotzbauer, P., Perlmutter, J. S., Schindler, S. E., Morris, J. C., et al. (2026) · Science Translational Medicine · doi:10.1126/scitranslmed.adz2016 · Cited by 1 · see citing works
- Authors
- van Rheenen, W., van der Spek, R. A. A., Bakker, M. K., van Vugt, J. J. F. A., Hop, P. J., Zwamborn, R. A. J., de Klein, N., Westra, H.-J., Bakker, O. B., Deelen, P., Shireby, G., Hannon, E., Moisse, M., Baird, D., Restuadi, R., Dolzhenko, E., Dekker, A. M., Gawor, K., Westeneng, H.-J., Tazelaar, G. H. P., van Eijk, K. R., Kooyman, M., Byrne, R. P., Doherty, M., Heverin, M., Al Khleifat, A., Iacoangeli, A., Shatunov, A., Ticozzi, N., Cooper-Knock, J., Smith, B. N., Gromicho, M., Chandran, S., Pal, S., Morrison, K. E., Shaw, P. J., Hardy, J., Orrell, R. W., Sendtner, M., Meyer, T., Başak, N., van der Kooi, A. J., Ratti, A., Fogh, I., Gellera, C., Lauria, G., Corti, S., Cereda, C., Sproviero, D., D’Alfonso, S., Sorarù, G., Siciliano, G., Filosto, M., Padovani, A., Chiò, A., Calvo, A., Moglia, C., Brunetti, M., Canosa, A., Grassano, M., Beghi, E., Pupillo, E., Logroscino, G., Nefussy, B., Osmanovic, A., Nordin, A., Lerner, Y., Zabari, M., Gotkine, M., Baloh, R. H., Bell, S., Vourc’h, P., Corcia, P., Couratier, P., Millecamps, S., Meininger, V., Salachas, F., Mora Pardina, J. S., Assialioui, A., Rojas-García, R., Dion, P. A., Ross, J. P., Ludolph, A. C., Weishaupt, J. H., Brenner, D., Freischmidt, A., Bensimon, G., Brice, A., Durr, A., Payan, C. A. M., Saker-Delye, S., Wood, N. W., Topp, S., Rademakers, R., Tittmann, L., Lieb, W., Franke, A., Ripke, S., Braun, A., Kraft, J., Whiteman, D. C., Olsen, C. M., Uitterlinden, A. G., Hofman, A., Rietschel, M., Cichon, S., Nöthen, M. M., Amouyel, P., SLALOM Consortium, Comi, G., Riva, N., Lunetta, C., Gerardi, F., Cotelli, M. S., Rinaldi, F., Chiveri, L., Guaita, M. C., Perrone, P., Ceroni, M., Diamanti, L., Ferrarese, C., Tremolizzo, L., Delodovici, M. L., Bono, G., PARALS Consortium, Canosa, A., Manera, U., Vasta, R., Bombaci, A., Casale, F., Fuda, G., Salamone, P., Iazzolino, B., Peotta, L., Cugnasco, P., De Marco, G., Torrieri, M. C., Palumbo, F., Gallone, S., Barberis, M., Sbaiz, L., Gentile, S., Mauro, A., Mazzini, L., De Marchi, F., Corrado, L., D’Alfonso, S., Bertolotto, A., Gionco, M., Leotta, D., Odddenino, E., Imperiale, D., Cavallo, R., Pignatta, P., De Mattei, M., Geda, C., Papurello, D. M., Gusmaroli, G., Comi, C., Labate, C., Ruiz, L., Ferrandi, D., Rota, E., Aguggia, M., Di Vito, N., Meineri, P., Ghiglione, P., Launaro, N., Dotta, M., Di Sapio, A., Giardini, G., SLAGEN Consortium, Tiloca, C., Peverelli, S., Taroni, F., Pensato, V., Castellotti, B., Comi, G. P., Del Bo, R., Ceroni, M., Gagliardi, S., Corrado, L., Mazzini, L., Raggi, F., Simoncini, C., Lo Gerfo, A., Inghilleri, M., Ferlini, A., SLAP Consortium, Simone, I. L., Passarella, B., Guerra, V., Zoccolella, S., Nozzoli, C., Mundi, C., Leone, M., Zarrelli, M., Tamma, F., Valluzzi, F., Calabrese, G., Boero, G., Rini, A., Traynor, B. J., Singleton, A. B., Mitne Neto, M., Cauchi, R. J., Ophoff, R. A., Wiedau-Pazos, M., Lomen-Hoerth, C., van Deerlin, V. M., Grosskreutz, J., Roediger, A., Gaur, N., Jörk, A., Barthel, T., Theele, E., Ilse, B., Stubendorff, B., Witte, O. W., Steinbach, R., Hübner, C. A., Graff, C., Brylev, L., Fominykh, V., Demeshonok, V., Ataulina, A., Rogelj, B., Koritnik, B., Zidar, J., Ravnik-Glavač, M., Glavač, D., Stević, Z., Drory, V., Povedano, M., Blair, I. P., Kiernan, M. C., Benyamin, B., Henderson, R. D., Furlong, S., Mathers, S., McCombe, P. A., Needham, M., Ngo, S. T., Nicholson, G. A., Pamphlett, R., Rowe, D. B., Steyn, F. J., Williams, K. L., Mather, K. A., Sachdev, P. S., Henders, A. K., Wallace, L., de Carvalho, M., Pinto, S., Petri, S., Weber, M., Rouleau, G. A., Silani, V., Curtis, C. J., Breen, G., Glass, J. D., Brown, R. H., Landers, J. E., Shaw, C. E., Andersen, P. M., Groen, E. J. N., van Es, M. A., Pasterkamp, R. J., Fan, D., Garton, F. C., McRae, A. F., Davey Smith, G., Gaunt, T. R., Eberle, M. A., Mill, J., McLaughlin, R. L., Hardiman, O., Kenna, K. P., Wray, N. R., Tsai, E., Runz, H., Franke, L., Al-Chalabi, A., Van Damme, P., van den Berg, L. H., & Veldink, J. H.
- Affiliations
- Utrecht University (NL)
- University Medical Center Groningen (NL)
- University of Exeter (GB)
- Universitair Ziekenhuis Leuven (BE)
- Biogen (United States) (US)
- The University of Queensland (AU)
- Illumina (United States) (US)
- Trinity College Dublin (IE)
- King's College London (GB)
- University of Milan (IT)
- University of Lisbon (PT)
- UK Dementia Research Institute (GB)
- Queen's University Belfast (GB)
- University of Sheffield (GB)
- UCL Queen Square Institute of Neurology (GB)
- Universitätsklinikum Würzburg (DE)
- Humboldt-Universität zu Berlin (DE)
- Fondazione IRCCS Istituto Neurologico Carlo Besta (IT)
- Fondazione Istituto Neurologico Nazionale Casimiro Mondino (IT)
- University of Pisa (IT)
- University of Brescia (IT)
- Azienda Ospedaliera Citta' della Salute e della Scienza di Torino (IT)
- University of Turin (IT)
- Mario Negri Institute for Pharmacological Research (IT)
- University of Bari Aldo Moro (IT)
- Tel Aviv Sourasky Medical Center (IL)
- Medizinische Hochschule Hannover (DE)
- Umeå University (SE)
- Hebrew University of Jerusalem (IL)
- Cedars-Sinai Medical Center (US)
- Université de Tours (FR)
- Inserm (FR)
- Centre National de la Recherche Scientifique (FR)
- Ramsay Santé Hôpital privé des Peupliers (FR)
- Bellvitge University Hospital (ES)
- Montreal Neurological Institute and Hospital (CA)
- Universität Ulm (DE)
- Heidelberg University (DE)
- Sorbonne Université (FR)
- Assistance Publique – Hôpitaux de Paris (FR)
- National Hospital for Neurology and Neurosurgery (GB)
- Mayo Clinic (US)
- Christian-Albrechts-Universität zu Kiel (DE)
- Broad Institute (US)
- Charité – Universitätsmedizin Berlin (DE)
- QIMR Berghofer Medical Research Institute (AU)
- University of Bonn (DE)
- IRCCS Ospedale San Raffaele (IT)
- Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico (IT)
- Azienda Socio Sanitaria Territoriale degli Spedali Civili di Brescia (IT)
- Ospedale Valduce (IT)
- Azienda Ospedaliera Ospedale Civile di Legnano (IT)
- University of Milano-Bicocca (IT)
- Ospedale di Circolo e Fondazione Macchi (IT)
- IRCCS Istituto Auxologico Italiano (IT)
- Ospedale San Luigi Gonzaga (IT)
- A. O. Ordine Mauriziano di Torino (IT)
- Ospedale Martini (IT)
- Ospedale Maria Vittoria (IT)
- Ospedale San Giovanni Bosco (IT)
- Ospedale Humanitas Gradenigo (IT)
- Ospedale Civile Di Ivrea (IT)
- Ospedale degli Infermi (IT)
- Università degli Studi del Piemonte Orientale “Amedeo Avogadro” (IT)
- Ospedale Civile Edoardo Agnelli (IT)
- Azienda Ospedaliera Nazionale SS. Antonio e Biagio e Cesare Arrigo (IT)
- Azienda Sanitaria Locale Alessandria (IT)
- Azienda Sanitaria Locale di Asti (IT)
- Azienda Sanitaria Ospedaliera S.Croce e Carle Cuneo (IT)
- Ospedale Michele e Pietro Ferrero - Verduno (IT)
- Vita-Salute San Raffaele University (IT)
- University of Padua (IT)
- Sapienza University of Rome (IT)
- University of Ferrara (IT)
- Ospedale A. Perrino (IT)
- Gastroenterology Hospital "Saverio de Bellis" (IT)
- Ospedale San Paolo (IT)
- Casa Sollievo della Sofferenza (IT)
- Ospedale Generale Regionale Francesco Miulli (IT)
- Ospedale Vito Fazzi (IT)
- National Institutes of Health (US)
- University of Malta (MT)
- University of California, Los Angeles (US)
- University Hospital Schleswig-Holstein (DE)
- Jena University Hospital (DE)
- Karolinska University Hospital (SE)
- Russian Academy of Sciences (RU)
- Moscow City Clinical Hospital after V.M. Buyanov (RU)
- University of Ljubljana (SI)
- Ljubljana University Medical Centre (SI)
- University of Belgrade (RS)
- Tel Aviv University (IL)
- Macquarie University (AU)
- The University of Sydney (AU)
- Calvary Health Care Bethlehem (AU)
- Murdoch University (AU)
- Concord Repatriation General Hospital (AU)
- UNSW Sydney (AU)
- Kantonsspital St. Gallen (CH)
- Emory University (US)
- University of Massachusetts Chan Medical School (US)
- Peking University (CN)
- University of Bristol (GB)
- Corresponding author
- Veldink, Jan H.
- ORCID
- van Rheenen, Wouter
- Bakker, Mark K.
- Hop, Paul J.
- Zwamborn, Ramona A. J.
- de Klein, Niek
- Westra, Harm-Jan
- Bakker, Olivier B.
- Deelen, Patrick
- Shireby, Gemma
- Hannon, Eilis
- Moisse, Matthieu
- Baird, Denis
- Restuadi, Restuadi
- Dolzhenko, Egor
- Gawor, Klara
- Westeneng, Henk-Jan
- Kooyman, Maarten
- Byrne, Ross P.
- Doherty, Mark
- Heverin, Mark
- Al Khleifat, Ahmad
- Iacoangeli, Alfredo
- Shatunov, Aleksey
- Ticozzi, Nicola
- Smith, Bradley N.
- Gromicho, Marta
- Chandran, Siddharthan
- Pal, Suvankar
- Morrison, Karen E.
- Shaw, Pamela J.
- Hardy, John
- Sendtner, Michael
- Meyer, Thomas
- Ratti, Antonia
- Fogh, Isabella
- Gellera, Cinzia
- Lauria, Giuseppe
- Corti, Stefania
- Cereda, Cristina
- Sproviero, Daisy
- Siciliano, Gabriele
- Filosto, Massimiliano
- Padovani, Alessandro
- Chiò, Adriano
- Calvo, Andrea
- Moglia, Cristina
- Brunetti, Maura
- Grassano, Maurizio
- Beghi, Ettore
- Pupillo, Elisabetta
- Logroscino, Giancarlo
- Osmanovic, Alma
- Nordin, Angelica
- Gotkine, Marc
- Baloh, Robert H.
- Bell, Shaughn
- Vourc’h, Patrick
- Corcia, Philippe
- Couratier, Philippe
- Millecamps, Stéphanie
- Meininger, Vincent
- Assialioui, Abdelilah
- Rojas-García, Ricardo
- Dion, Patrick A.
- Ross, Jay P.
- Weishaupt, Jochen H.
- Freischmidt, Axel
- Bensimon, Gilbert
- Brice, Alexis
- Wood, Nicholas W.
- Topp, Simon
- Rademakers, Rosa
- Tittmann, Lukas
- Lieb, Wolfgang
- Franke, Andre
- Ripke, Stephan
- Braun, Alice
- Kraft, Julia
- Whiteman, David C.
- Olsen, Catherine M.
- Uitterlinden, Andre G.
- Rietschel, Marcella
- Cichon, Sven
- Nöthen, Markus M.
- Amouyel, Philippe
- Riva, Nilo
- Lunetta, Christian
- Gerardi, Francesca
- Cotelli, Maria Sofia
- Rinaldi, Fabrizio
- Chiveri, Luca
- Diamanti, Luca
- Ferrarese, Carlo
- Tremolizzo, Lucio
- Delodovici, Maria Luisa
- Bono, Giorgio
- Manera, Umberto
- Vasta, Rosario
- Bombaci, Alessandro
- Casale, Federico
- Salamone, Paolina
- Iazzolino, Barbara
- Peotta, Laura
- Torrieri, Maria Claudia
- Palumbo, Francesca
- Gallone, Salvatore
- Barberis, Marco
- Mauro, Alessandro
- Bertolotto, Antonio
- Imperiale, Daniele
- Comi, Cristoforo
- Ferrandi, Delfina
- Rota, Eugenia
- Tiloca, Cinzia
- Peverelli, Silvia
- Taroni, Franco
- Pensato, Viviana
- Castellotti, Barbara
- Comi, Giacomo P.
- Gagliardi, Stella
- Raggi, Flavia
- Simoncini, Costanza
- Inghilleri, Maurizio
- Ferlini, Alessandra
- Zoccolella, Stefano
- Leone, Maurizio
- Zarrelli, Michele
- Tamma, Filippo
- Boero, Giovanni
- Rini, Augusto
- Traynor, Bryan J.
- Singleton, Andrew B.
- Cauchi, Ruben J.
- Ophoff, Roel A.
- van Deerlin, Vivianna M.
- Grosskreutz, Julian
- Gaur, Nayana
- Ilse, Benjamin
- Witte, Otto W.
- Steinbach, Robert
- Hübner, Christian A.
- Graff, Caroline
- Brylev, Lev
- Fominykh, Vera
- Ataulina, Anastasia
- Rogelj, Boris
- Koritnik, Blaž
- Zidar, Janez
- Glavač, Damjan
- Blair, Ian P.
- Kiernan, Matthew C.
- Benyamin, Beben
- Henderson, Robert D.
- Furlong, Sarah
- Mathers, Susan
- McCombe, Pamela A.
- Needham, Merrilee
- Ngo, Shyuan T.
- Nicholson, Garth A.
- Pamphlett, Roger
- Rowe, Dominic B.
- Steyn, Frederik J.
- Williams, Kelly L.
- Mather, Karen A.
- Sachdev, Perminder S.
- Henders, Anjali K.
- Wallace, Leanne
- Pinto, Susana
- Petri, Susanne
- Weber, Markus
- Rouleau, Guy A.
- Silani, Vincenzo
- Curtis, Charles J.
- Breen, Gerome
- Glass, Jonathan D.
- Brown, Robert H.
- Landers, John E.
- Shaw, Christopher E.
- Andersen, Peter M.
- Groen, Ewout J. N.
- van Es, Michael A.
- Pasterkamp, R. Jeroen
- Fan, Dongsheng
- Garton, Fleur C.
- McRae, Allan F.
- Davey Smith, George
- Gaunt, Tom R.
- Eberle, Michael A.
- Mill, Jonathan
- McLaughlin, Russell L.
- Hardiman, Orla
- Kenna, Kevin P.
- Wray, Naomi R.
- Tsai, Ellen
- Runz, Heiko
- Franke, Lude
- Al-Chalabi, Ammar
- Van Damme, Philip
- Veldink, Jan H.
- Venue
- Nature Genetics
- Published
- 2021-12
- Volume
- 53
- Issue
- 12
- Pages
- 1636-1648
- ISSN
- 1061-4036 (ISSN-L)
- 1546-1718
- PMC
- PMC8648564
- OpenAlex
- W4226286160
- Cited by
- 542
- References
- 31
- Citations by year
- 2026: 96 · 2025: 129 · 2024: 124 · 2023: 117 · 2022: 67 · 2021: 9
- FWCI
- 38.12
- Type
- journal article
- Language
- en
- Update notices
- correction (2022-01-31)
- Open access
- hybrid
- doi.org
- Locations
- Nature Genetics (publishedVersion, cc-by)
- medRxiv (acceptedVersion, cc-by-nc-nd)
- Research Square (acceptedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Research Portal (King's College London) (publishedVersion, other-oa)
- Pure Amsterdam UMC (publishedVersion, cc-by)
- Edinburgh Research Explorer (University of Edinburgh) (publishedVersion, cc-by)
- EUR Research Repository (Erasmus University Rotterdam) (publishedVersion, cc-by)
- University of Groningen research database (University of Groningen / Centre for Information Technology) (publishedVersion, cc-by)
- White Rose Research Online (University of Leeds, The University of Sheffield, University of York) (acceptedVersion)
- HAL (submittedVersion, other-oa)
- Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano) (submittedVersion, cc-by)
- CINECA IRIS Institutial research information system (University of Pisa) (submittedVersion, cc-by)
- Institutional Research Information System University of Turin (University of Turin) (submittedVersion, other-oa)
- Lirias (submittedVersion, other-oa)
- Research Portal (Queen's University Belfast) (submittedVersion, cc-by)
- Murdoch University Research Portal (submittedVersion)
- UniSA Research Outputs Repository (University of South Australia) (submittedVersion, cc-by)
- OAR@UM (University of Malta) (submittedVersion, other-oa)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- EUR Research Repository (Erasmus University Rotterdam) (submittedVersion, cc-by)
- DiVA at Umeå University (Umeå University) (submittedVersion, other-oa)
- HAL (submittedVersion, cc-by)
- BOA (University of Milano-Bicocca) (submittedVersion, cc-by)
- Digital Collections portal (Koç University) (submittedVersion)
- Dipòsit Digital de Documents de la UAB (Universitat Autònoma de Barcelona) (submittedVersion, cc-by)
- Adelaide Research & Scholarship (AR&S) (University of Adelaide) (submittedVersion, cc-by)
- Dipòsit Digital de la Universitat de Barcelona (Universitat de Barcelona) (submittedVersion, cc-by)
- Utrecht University Repository (Utrecht University) (submittedVersion, other-oa)
- UCL Discovery (University College London) (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion, cc-by)
- Institutional Research Information System (Università degli Studi di Brescia) (submittedVersion)
- IRIS Research product catalog (Sapienza University of Rome) (submittedVersion, cc-by)
- DZNE Pub (submittedVersion, other-oa)
- Explore Bristol Research (submittedVersion, cc-by)
- CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro) (submittedVersion)
- Padua Research Archive (University of Padova) (submittedVersion, cc-by)
- University of Groningen research database (University of Groningen / Centre for Information Technology) (submittedVersion, cc-by)
- Funders
- Biogen
- South London and Maudsley NHS Foundation Trust (MR/R024804/1, MR/L501529/1, ES/L008238/1)
- Wellcome Trust (MC_UU_00011/1, MC_UU_00011/4, 216596/Z/19/Z)
- Health Research Board (JPI-JPND-2017-1)
- EU Joint Programme – Neurodegenerative Disease Research (MR/R024804/1, MR/L501529/1)
- Health~Holland
- Alzheimer's Society
- National Institute for Health and Care Research (ES/L008238/1, NF-SI-0617-10077, MR/L501529/1, MC_UU_00011/4, NF-SI-0512-10082, NIHR202421, MR/R024804/1, MC_UU_00011/1)
- Parkinson's UK (G-0907, G-1307)
- Motor Neurone Disease Association (ALCHALABI-TALBOT/APR14/926-794, 259867, 772376, ALCHALABI-DOBSON/APR14/829-791, Smith/Apr16/847-791, MR/L501529/1, Al-Chalabi/Apr19/870-791, Shaw/Apr15/970-797, Shaw/Nov14/985-797, ES/L008238/1, MR/R024804/1)
- King's College London
- European Commission (HORIZON2020, MC_UU_00011/1, 772376, 259867)
- Rosetrees Trust
- University of Bristol (MC_UU_00011/4, MC_UU_00011/1)
- Agence Nationale de la Recherche (ANR-11-LABX-0009, ANR-17-JPCD-0001)
- Fonds Wetenschappelijk Onderzoek
- Nederlandse Organisatie voor Wetenschappelijk Onderzoek (09150161810018)
- KU Leuven
- Prinses Beatrix Spierfonds (W.OR20-08, W.F19-03)
- Vlaamse regering
- Stichting ALS Nederland (140935)
- NIHR Maudsley Biomedical Research Centre (ES/L008238/1, MR/R024804/1, MR/L501529/1)
- Canadian Institutes of Health Research (FRN159279, 140935)
- Medical Research Council (MR/L023784/2, 259867, MR/K01417X/1, ES/L008238/1, MC_PC_17115, MC_UU_00011/4, 350833, MR/L501542/1, MR/L021803/1, 1113400, MC_G1000733, MR/J004758/1, MR/R024804/1, MR/L501529/1, 1078901, K013807, MC_UU_00011/1, M008924, MC_UU_00011/1 and MC_UU_00011/4, MC_UU_00011)
- Economic and Social Research Council (ES/L008238/1, MC_UU_00011/1, L008238, 1095215, MR/L501529/1, MR/R024804/1)
- National Health and Medical Research Council (568969, 1063061, 1155413, 1095215, 1079102, 401162, 1113400, 1078901, 1083187, 1093083, 1173790, 1121962, 1085606, MC_UU_00011/1, 1025243, MC_UU_00011/4, 1024224, 402703, 1073898, 1045325, 350833, 1185416)
- National Institute of Neurological Disorders and Stroke (K08NS002240, R01NS073873, R56NS073873, P01NS049134)
- Topics
- Health Sciences › Medicine › Neurology › Amyotrophic Lateral Sclerosis Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Health Sciences › Medicine › Pathology and Forensic Medicine › Multiple Sclerosis Research Studies
- Keywords
- amyotrophic lateral sclerosis, genetic susceptibility loci, rare variants, microsatellite markers, genetic architecture, neurodegenerative diseases, cholesterol, Mendelian randomization, vesicle trafficking, autophagy, glutamatergic neurons, expression quantitative trait loci
- MeSH terms
- RNA-Seq, Amyotrophic Lateral Sclerosis, Brain, Cholesterol, Female, Glutamine, Humans, Male, Mutation, Neurons, Risk Factors, Disease Progression, Microsatellite Repeats, Neurodegenerative Diseases, Quantitative Trait Loci, Genome-Wide Association Study, Mendelian Randomization Analysis
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review