The endocytic membrane trafficking pathway plays a major role in the risk of Parkinson's disease
Open accessAbstract
BACKGROUND: PD is a complex polygenic disorder. In recent years, several genes from the endocytic membrane-trafficking pathway have been suggested to contribute to disease etiology. However, a systematic analysis of pathway-specific genetic risk factors is yet to be performed. OBJECTIVES: To comprehensively study the role of the endocytic membrane-trafficking pathway in the risk of PD. METHODS: Linkage disequilibrium score regression was used to estimate PD heritability explained by 252 genes involved in the endocytic membrane-trafficking pathway including genome-wide association studies data from 18,869 cases and 22,452 controls. We used pathway-specific single-nucleotide polymorphisms to construct a polygenic risk score reflecting the cumulative risk of common variants. To prioritize genes for follow-up functional studies, summary-data based Mendelian randomization analyses were applied to explore possible functional genomic associations with expression or methylation quantitative trait loci. RESULTS: The heritability estimate attributed to endocytic membrane-trafficking pathway was 3.58% (standard error = 1.17). Excluding previously nominated PD endocytic membrane-trafficking pathway genes, the missing heritability was 2.21% (standard error = 0.42). Random heritability simulations were estimated to be 1.44% (standard deviation = 0.54), indicating that the unbiased total heritability explained by the endocytic membrane-trafficking pathway was 2.14%. Polygenic risk score based on endocytic membrane-trafficking pathway showed a 1.25 times increase of PD risk per standard deviation of genetic risk. Finally, Mendelian randomization identified 11 endocytic membrane-trafficking pathway genes showing functional consequence associated to PD risk. CONCLUSIONS: We provide compelling genetic evidence that the endocytic membrane-trafficking pathway plays a relevant role in disease etiology. Further research on this pathway is warranted given that critical effort should be made to identify potential avenues within this biological process suitable for therapeutic interventions. © 2019 International Parkinson and Movement Disorder Society.
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At least three candidate genes within novel loci are involved in lysosomal storage disorders (GUSB, GRN, and NEU1).
“At least three candidate genes within novel loci are involved in lysosomal storage disorders (GUSB, GRN, and NEU1), a pathway of keen interest in PD (37).”
From Identification of novel risk loci, causal insights, and heritable risk for Parkinson's disease: a meta-analysis of genome-wide association studies (2019) · cites this paper as [37]
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Subramanian, A., Tamayo, P., Mootha, V. K., Mukherjee, S., Ebert, B. L., Gillette, M. A., Paulovich, A., Pomeroy, S. L., Golub, T. R., Lander, E. S., et al. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0506580102 · Cited by 53,625 · see citing works
The Molecular Signatures Database Hallmark Gene Set Collection
Liberzon, A., Birger, C., Thorvaldsdóttir, H., Ghandi, M., Mesirov, J. P., & Tamayo, P. (2015) · Cell Systems · doi:10.1016/j.cels.2015.12.004 · Cited by 13,807 · see citing works
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 · 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
The Genotype-Tissue Expression (GTEx) pilot analysis: Multitissue gene regulation in humans
The GTEx Consortium, Ardlie, K. G., Deluca, D. S., Segrè, A. V., Sullivan, T. J., Young, T. R., Gelfand, E. T., Trowbridge, C. A., Maller, J. B., Tukiainen, T., et al. (2015) · Science · doi:10.1126/science.1262110 · Cited by 5,062 · see citing works
Integration of summary data from GWAS and eQTL studies predicts complex trait gene targets
Zhu, Z., Zhang, F., Hu, H., Bakshi, A., Robinson, M. R., Powell, J. E., Montgomery, G. W., Goddard, M. E., Wray, N. R., Visscher, P. M., et al. (2016) · Nature Genetics · doi:10.1038/ng.3538 · Cited by 3,352 · see citing works
Partitioning heritability by functional annotation using genome-wide association summary statistics
ReproGen Consortium, Finucane, H. K., Schizophrenia Working Group of the Psychiatric Genomics Consortium, The RACI Consortium, Bulik-Sullivan, B., Gusev, A., Trynka, G., Reshef, Y., Loh, P.-R., Anttila, V., et al. (2015) · Nature Genetics · doi:10.1038/ng.3404 · Cited by 2,604 · see citing works
International Parkinson's Disease Genomics Consortium (IPDGC), Nalls, M. A., Parkinson's Study Group (PSG) Parkinson's Research: The Organized GENetics Initiative (PROGENI), 23andMe, GenePD, NeuroGenetics Research Consortium (NGRC), Hussman Institute of Human Genomics (HIHG), Investigator, T. A. J. D., (CHARGE), C. F. H. A. A. R. I. G. E., North American Brain Expression Consortium (NABEC), et al. (2014) · Nature Genetics · doi:10.1038/ng.3043 · Cited by 1,895 · see citing works
Self-citationPersonal genomes: The case of the missing heritability
Maher, B. (2008) · Nature · doi:10.1038/456018a · Cited by 1,737 · see citing works
Systematic identification of trans eQTLs as putative drivers of known disease associations
Westra, H.-J., Peters, M. J., Esko, T., Yaghootkar, H., Schurmann, C., Kettunen, J., Christiansen, M. W., Fairfax, B. P., Schramm, K., Powell, J. E., et al. (2013) · Nature Genetics · doi:10.1038/ng.2756 · Cited by 1,658 · see citing works
Self-citationPRSice: Polygenic Risk Score software
Euesden, J., Lewis, C. M., & O’Reilly, P. F. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btu848 · Cited by 1,149 · see citing works
Selective neuronal vulnerability in Parkinson disease
Surmeier, D. J., Obeso, J. A., & Halliday, G. M. (2017) · Nature reviews. Neuroscience · doi:10.1038/nrn.2016.178 · Cited by 1,120 · see citing works
A meta-analysis of genome-wide association studies identifies 17 new Parkinson's disease risk loci
Chang, D., Nalls, M. A., Hallgrímsdóttir, I. B., Hunkapiller, J., van der Brug, M., Cai, F., International Parkinson's Disease Genomics Consortium, 23andMe Research Team, Kerchner, G. A., Ayalon, G., et al. (2017) · Nature Genetics · doi:10.1038/ng.3955 · Cited by 1,112 · see citing works
Self-citationGene expression elucidates functional impact of polygenic risk for schizophrenia
Fromer, M., Roussos, P., Sieberts, S. K., Johnson, J. S., Kavanagh, D. H., Perumal, T. M., Ruderfer, D. M., Oh, E. C., Topol, A., Shah, H. R., et al. (2016) · Nature Neuroscience · doi:10.1038/nn.4399 · Cited by 1,091 · see citing works
Nalls, M., Plagnol, V., Hernandez, D., Sharma, M., Sheerin, U., Saad, M., Simón-Sánchez, J., Schulte, C., Lesage, S., Sveinbjörnsdóttir, S., et al. (2011) · The Lancet · doi:10.1016/s0140-6736(10)62345-8 · Cited by 986 · see citing works
Self-citationZheng, J., Erzurumluoglu, A. M., Elsworth, B. L., Kemp, J. P., Howe, L., Haycock, P. C., Hemani, G., Tansey, K., Laurin, C., Early Genetics and Lifecourse Epidemiology (EAGLE) Eczema Consortium, et al. (2017) · Bioinformatics · doi:10.1093/bioinformatics/btw613 · Cited by 869 · see citing works
Molecular diversity of midbrain development in mouse, human, and stem cells
La Manno, G., Gyllborg, D., Codeluppi, S., Nishimura, K., Salto, C., Zeisel, A., Borm, L. E., Stott, S. R. W., Toledo, E. M., Villaescusa, J. C., et al. (2016) · Cell · doi:10.1016/j.cell.2016.09.027 · Cited by 835 · see citing works
Natarajan, P., Young, R., Stitziel, N. O., Padmanabhan, S., Baber, U., Mehran, R., Sartori, S., Fuster, V., Reilly, D. F., Butterworth, A., et al. (2017) · Circulation · doi:10.1161/circulationaha.116.024436 · Cited by 570 · see citing works
Ripatti, S., Tikkanen, E., Orho-Melander, M., Havulinna, A. S., Silander, K., Sharma, A., Guiducci, C., Perola, M., Jula, A., Sinisalo, J., et al. (2010) · The Lancet · doi:10.1016/s0140-6736(10)61267-6 · Cited by 562 · see citing works
RAB7L1 Interacts with LRRK2 to Modify Intraneuronal Protein Sorting and Parkinson’s Disease Risk
MacLeod, D. A., Rhinn, H., Kuwahara, T., Zolin, A., Paolo, G. D., McCabe, B. D., Marder, K. S., Honig, L. S., Clark, L. N., Small, S. A., et al. (2013) · Neuron · doi:10.1016/j.neuron.2012.11.033 · Cited by 519 · see citing works
Defects in trafficking bridge Parkinson’s disease pathology and genetics
Abeliovich, A., & Gitler, A. D. (2016) · Nature · doi:10.1038/nature20414 · Cited by 462 · see citing works
An xQTL map integrates the genetic architecture of the human brain's transcriptome and epigenome
Ng, B., White, C. C., Klein, H.-U., Sieberts, S. K., McCabe, C., Patrick, E., Xu, J., Yu, L., Gaiteri, C., Bennett, D. A., et al. (2017) · Nature Neuroscience · doi:10.1038/nn.4632 · Cited by 452 · see citing works
Genetics in Parkinson disease: Mendelian versus non‐Mendelian inheritance
Hernandez, D. G., Reed, X., & Singleton, A. B. (2016) · Journal of Neurochemistry · doi:10.1111/jnc.13593 · Cited by 448 · cited 1× · see citing works
“Familial PD accounts for less than 10% of the total cases, mostly attributed to monogenic forms with autosomal-dominant (including SNCA, LRRK2, and VPS35) or autosomal-recessive pattern of inheritance, such as PARKIN, PINK1, and DJ-1, among others.(2,3) However, the vast majority of the disease is considered to be spo…”
BackgroundSelf-citationExcessive burden of lysosomal storage disorder gene variants in Parkinson’s disease
Robak, L. A., Jansen, I. E., van Rooij, J., Uitterlinden, A. G., Kraaij, R., Jankovic, J., Heutink, P., Shulman, J. M., International Parkinson’s Disease Genomics Consortium (IPDGC), Nalls, M. A., et al. (2017) · Brain · doi:10.1093/brain/awx285 · Cited by 433 · see citing works
Self-citationQi, T., Wu, Y., Zeng, J., Zhang, F., Xue, A., Jiang, L., Zhu, Z., Kemper, K., Yengo, L., Zheng, Z., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-04558-1 · Cited by 427 · see citing works
Maas, P., Barrdahl, M., Joshi, A. D., Auer, P. L., Gaudet, M. M., Milne, R. L., Schumacher, F. R., Anderson, W. F., Check, D., Chattopadhyay, S., et al. (2016) · JAMA Oncology · doi:10.1001/jamaoncol.2016.1025 · Cited by 373 · see citing works
Beilina, A., Rudenko, I. N., Kaganovich, A., Civiero, L., Chau, H., Kalia, S. K., Kalia, L. V., Lobbestael, E., Chia, R., Ndukwe, K., et al. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1318306111 · Cited by 357 · see citing works
Self-citationESCRT-III recognition by VPS4 ATPases
Stuchell‐Brereton, M. D., Skalicky, J. J., Kieffer, C., Karren, M. A., Ghaffarian, S., & Sundquist, W. I. (2007) · Nature · doi:10.1038/nature06172 · Cited by 329 · see citing works
A Two-Stage Meta-Analysis Identifies Several New Loci for Parkinson's Disease
Plagnol, V., Nalls, M., Brás, J., Hernandez, D., Sharma, M., Sheerin, U., Saad, M., Simón-Sánchez, J., Schulte, C., Lesage, S., et al. (2011) · PLoS Genetics · doi:10.1371/journal.pgen.1002142 · Cited by 304 · see citing works
Integrating Pathways of Parkinson's Disease in a Molecular Interaction Map
Fujita, K., Ostaszewski, M., Matsuoka, Y., Ghosh, S., Glaab, E., Trefois, C., Crespo, I., Perumal, T. M., Jurkowski, W., Antony, P. M. A., et al. (2013) · Molecular Neurobiology · doi:10.1007/s12035-013-8489-4 · Cited by 270 · see citing works
Genetic risk factors in Parkinson’s disease
Billingsley, K. J., Bandrés‐Ciga, S., Sáez-Atiénzar, S., & Singleton, A. (2018) · Cell and Tissue Research · doi:10.1007/s00441-018-2817-y · Cited by 249 · see citing works
Self-citationTrabzuni, D., Ryten, M., Walker, R., Smith, C., Imran, S., Ramasamy, A., Weale, M. E., & Hardy, J. (2011) · Journal of Neurochemistry · doi:10.1111/j.1471-4159.2011.07432.x · Cited by 229 · see citing works
McGough, I. J., Steinberg, F., Jia, D., Barbuti, P. A., McMillan, K. J., Heesom, K. J., Whone, A. L., Caldwell, M. A., Billadeau, D. D., Rosen, M. K., et al. (2014) · Current Biology · doi:10.1016/j.cub.2014.06.024 · Cited by 202 · see citing works
Lin, G., Lee, P.-T., Chen, K., Mao, D., Tan, K. L., Zuo, Z., Lin, W., Wang, L., & Bellen, H. J. (2018) · Cell Metabolism · doi:10.1016/j.cmet.2018.05.019 · Cited by 172 · see citing works
Endocytic membrane trafficking and neurodegenerative disease
Schreij, A. M. A., Fon, E. A., & McPherson, P. S. (2015) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-015-2105-x · Cited by 153 · see citing works
Endocytosis and clathrin-uncoating defects at synapses of auxilin knockout mice
Yim, Y.-I., Sun, T., Wu, L., Raimondi, A., Camilli, P. V. D., Eisenberg, E., & Greene, L. E. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1000738107 · Cited by 150 · see citing works
Nalls, M., Blauwendraat, C., Vallerga, C., et al. (2018) · bioRxiv · doi:10.1101/388165 · Cited by 145 · see citing works
Self-citationCHMP1A encodes an essential regulator of BMI1-INK4A in cerebellar development
Mochida, G. H., Ganesh, V. S., de Michelena, M. I., Dias, H., Atabay, K. D., Kathrein, K. L., Huang, H.-T., Hill, R. S., Felie, J. M., Rakiec, D. P., et al. (2012) · Nature Genetics · doi:10.1038/ng.2425 · Cited by 110 · see citing works
Stuck in traffic: an emerging theme in diseases of the nervous system
Neefjes, J., & van der Kant, R. (2014) · Trends in Neurosciences · doi:10.1016/j.tins.2013.11.006 · Cited by 95 · see citing works
Reus, L. M., Shen, X., Gibson, J., Wigmore, E. M., Ligthart, L., Adams, M. J., Davies, G., Cox, S. R., Hagenaars, S. P., Bastin, M. E., et al. (2017) · Scientific Reports · doi:10.1038/srep42140 · Cited by 94 · see citing works
Ambroso, M. R., Hegde, B. G., & Langen, R. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1402233111 · Cited by 89 · see citing works
Wang, T., Zhang, X., Li, A., Zhu, M., Liu, S., Qin, W., Li, J., Yu, C., Jiang, T., & Liu, B. (2017) · NeuroImage: Clinical · doi:10.1016/j.nicl.2017.02.011 · Cited by 88 · see citing works
The endosomal pathway in Parkinson's disease
Perrett, R. M., Alexopoulou, Z., & Tofaris, G. K. (2015) · Molecular and Cellular Neuroscience · doi:10.1016/j.mcn.2015.02.009 · Cited by 87 · see citing works
Li, S., He, Y., Ou, J., Zhao, Y., Li, R., Cheng, J., Lin, C., & Ho, M. S.-C. (2017) · Cell Reports · doi:10.1016/j.celrep.2017.01.005 · Cited by 76 · see citing works
Genetic variation within endolysosomal system is associated with late-onset Alzheimer’s disease
Gao, S., Casey, A., Sargeant, T. J., & Mäkinen, V. (2018) · Brain · doi:10.1093/brain/awy197 · Cited by 75 · see citing works
Genetic risk and age in Parkinson's disease: Continuum not stratum
Nalls, M. A., Escott‐Price, V., Williams, N. M., Lubbe, S. J., Keller, M. F., Morris, H. R., & Singleton, A. (2015) · Movement Disorders · doi:10.1002/mds.26192 · Cited by 74 · see citing works
Self-citationImpact of Parkinson's disease risk loci on age at onset
Lill, C. M., Hansen, J., Olsen, J. H., Binder, H., Ritz, B. R., & Bertram, L. (2015) · Movement Disorders · doi:10.1002/mds.26237 · Cited by 71 · see citing works
Assoum, M., Philippe, C., Isidor, B., Perrin, L., Makrythanasis, P., Sondheimer, N., Paris, C., Douglas, J., Lesca, G., Antonarakis, S., et al. (2016) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2016.10.009 · Cited by 65 · see citing works
Genetics of parkinson's disease
Gasser, T. (1998) · Annals of Neurology · doi:10.1002/ana.410440708 · Cited by 60 · see citing works
Ellis, S. E., Panitch, R., West, A. B., & Arking, D. E. (2016) · Translational Psychiatry · doi:10.1038/tp.2016.87 · Cited by 48 · see citing works
Genome-wide assessment of Parkinson's disease in a Southern Spanish population
Bandrés‐Ciga, S., Price, T. R., Barrero, F. J., Sevilla, F. E., Pelegrina, J., Arepalli, S., Hernandez, D. G., Gutiérrez, B., Cervilla, J. A., Rivera, M., et al. (2016) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2016.06.001 · Cited by 44 · see citing works
Self-citationKong, X., Bousfiha, A. A., Rouissi, A., Itan, Y., Abhyankar, A., Bryant, V. L., Okada, S., Ailal, F., Bustamante, J. C., Casanova, J., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0058286 · Cited by 37 · see citing works
Genome Wide Assessment of Young Onset Parkinson’s Disease from Finland
Hernandez, D. G., Nalls, M. A., Ylikotila, P., Keller, M. F., Hardy, J., Majamaa, K., & Singleton, A. (2012) · PLoS ONE · doi:10.1371/journal.pone.0041859 · Cited by 30 · see citing works
Self-citation
Flagged first, then by citations
1 of the 54 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Nalls, M. A., Blauwendraat, C., Vallerga, C. L., Heilbron, K., Bandres-Ciga, S., Chang, D., Tan, M., Kia, D. A., Noyce, A. J., Xue, A., et al. (2019) · The Lancet Neurology · doi:10.1016/s1474-4422(19)30320-5 · Cited by 2,454 · see citing works
Self-citationThe genetic architecture of Parkinson's disease
Blauwendraat, C., Nalls, M. A., & Singleton, A. B. (2020) · The Lancet Neurology · doi:10.1016/s1474-4422(19)30287-x · Cited by 1,114 · see citing works
Self-citationChia, R., Sabir, M. S., Bandres-Ciga, S., Saez-Atienzar, S., Reynolds, R. H., Gustavsson, E., Walton, R. L., Ahmed, S., Viollet, C., Ding, J., et al. (2021) · Nature Genetics · doi:10.1038/s41588-021-00785-3 · Cited by 438 · see citing works
Self-citationGenetics of Parkinson's disease: An introspection of its journey towards precision medicine
Bandrés‐Ciga, S., Díez-Fairén, M., Kim, J. J., & Singleton, A. (2020) · Neurobiology of Disease · doi:10.1016/j.nbd.2020.104782 · Cited by 368 · see citing works
Self-citationMulti-ancestry genome-wide association meta-analysis of Parkinson’s disease
Kim, J. J., Vitale, D., Otani, D. V., Lian, M. M., Heilbron, K., Aslibekyan, S. W., Auton, A., Babalola, E., Bell, R. K., Bielenberg, J., et al. (2023) · Nature Genetics · doi:10.1038/s41588-023-01584-8 · Cited by 291 · see citing works
Self-citationInitiation and propagation of α-synuclein aggregation in the nervous system
Hijaz, B. A., & Volpicelli‐Daley, L. A. (2020) · Molecular Neurodegeneration · doi:10.1186/s13024-020-00368-6 · Cited by 267 · see citing works
LRRK2 Biology from structure to dysfunction: research progresses, but the themes remain the same
Berwick, D. C., Heaton, G. R., Azeggagh, S., & Harvey, K. (2019) · Molecular Neurodegeneration · doi:10.1186/s13024-019-0344-2 · Cited by 164 · see citing works
Neuronal vulnerability in Parkinson disease: Should the focus be on axons and synaptic terminals?
Wong, Y. C., Luk, K. C., Purtell, K., Burke, S., Stoessl, A. J., Trudeau, L., Yue, Z., Krainc, D., Oertel, W. H., Obeso, J. A., et al. (2019) · Movement Disorders · doi:10.1002/mds.27823 · Cited by 123 · see citing works
RBG Motif Bridge-Like Lipid Transport Proteins: Structure, Functions, and Open Questions
Hanna, M., Guillén-Samander, A., & Camilli, P. V. D. (2023) · Annual Review of Cell and Developmental Biology · doi:10.1146/annurev-cellbio-120420-014634 · Cited by 105 · see citing works
Presynaptic autophagy is coupled to the synaptic vesicle cycle via ATG-9
Yang, S., Park, D., Manning, L., Kargbo-Hill, S. E., Cao, M., Zhao, X., Gonzalez, I. J., Dong, Y., Clark, B., Shao, L., et al. (2022) · Neuron · doi:10.1016/j.neuron.2021.12.031 · Cited by 103 · see citing works
Association of a common genetic variant with Parkinson’s disease is mediated by microglia
Langston, R. G., Beilina, A., Reed, X., Kaganovich, A., Singleton, A. B., Blauwendraat, C., Gibbs, J. R., & Cookson, M. R. (2022) · Science Translational Medicine · doi:10.1126/scitranslmed.abp8869 · Cited by 93 · see citing works
Self-citationLuo, M., Lee, L. K. C., Peng, B., Choi, C. H. J., Tong, W. Y., & Voelcker, N. H. (2022) · Advanced Science · doi:10.1002/advs.202201740 · Cited by 81 · see citing works
α-synuclein impairs autophagosome maturation through abnormal actin stabilization
Sarkar, S., Olsen, A. L., Sygnecka, K., Lohr, K. M., & Feany, M. Β. (2021) · PLoS Genetics · doi:10.1371/journal.pgen.1009359 · Cited by 79 · see citing works
Guadagnolo, D., Piane, M., Torrisi, M. R., Pizzuti, A., & Petrucci, S. (2021) · Frontiers in Neurology · doi:10.3389/fneur.2021.648588 · Cited by 68 · see citing works
Subcellular proteomics of dopamine neurons in the mouse brain
Hobson, B. D., Choi, S. J., Mosharov, E. V., Soni, R. K., Sulzer, D., & Sims, P. A. (2022) · eLife · doi:10.7554/elife.70921 · Cited by 66 · see citing works
Nilsson, J., Constantinescu, J., Nellgård, B., Jakobsson, P., Brum, W. S., Gobom, J., Forsgren, L., Dalla, K., Constantinescu, R., Zetterberg, H., et al. (2022) · Movement Disorders · doi:10.1002/mds.29287 · Cited by 56 · see citing works
Mitochondrial and Clearance Impairment in p. D620N VPS35 Patient‐Derived Neurons
Hanss, Z., Larsen, S. B., Antony, P. M. A., Mencke, P., Massart, F., Jarazo, J., Schwamborn, J. C., Barbuti, P. A., Mellick, G. D., & Krüger, R. (2020) · Movement Disorders · doi:10.1002/mds.28365 · Cited by 57 · see citing works
Jellinger, K. A. (2019) · Journal of Neural Transmission · doi:10.1007/s00702-019-02028-6 · Cited by 55 · see citing works
Fibrillar α-synuclein toxicity depends on functional lysosomes
Guiney, S. J., Adlard, P. A., Lei, P., Mawal, C., Bush, A. I., Finkelstein, D. I., & Ayton, S. (2020) · Journal of Biological Chemistry · doi:10.1074/jbc.ra120.013428 · Cited by 51 · see citing works
Brooker, S. M., Naylor, G. E., & Krainc, D. (2024) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2024.102841 · Cited by 47 · see citing works
Novak, G., Kyriakis, D., Grzyb, K., Bernini, M., Rodius, S., Dittmar, G. A. G., Finkbeiner, S. M., & Skupin, A. (2022) · Communications Biology · doi:10.1038/s42003-021-02973-7 · Cited by 44 · see citing works
Heaton, G. R., Landeck, N., Mamais, A., Nalls, M. A., Nixon‐Abell, J., Kumaran, R., Beilina, A. G., Pellegrini, L., Li, Y., Harvey, K., et al. (2020) · Neurobiology of Disease · doi:10.1016/j.nbd.2020.104948 · Cited by 45 · see citing works
Self-citationMulti-omic insights into Parkinson's Disease: From genetic associations to functional mechanisms
Schilder, B. M., Navarro, E., & Raj, T. (2021) · Neurobiology of Disease · doi:10.1016/j.nbd.2021.105580 · Cited by 42 · see citing works
LRRK2 in Parkinson's disease: upstream regulation and therapeutic targeting
Xiong, Y., & Yu, J. (2024) · Trends in Molecular Medicine · doi:10.1016/j.molmed.2024.07.003 · Cited by 44 · see citing works
Liu, Q., Bautista-Gomez, J., Higgins, D. A., Yu, J., & Xiong, Y. (2021) · Science Signaling · doi:10.1126/scisignal.abg3555 · Cited by 38 · see citing works
Polygenic Risk Scores Contribute to Personalized Medicine of Parkinson’s Disease
Dehestani, M., Liu, H., & Gasser, T. (2021) · Journal of Personalized Medicine · doi:10.3390/jpm11101030 · Cited by 37 · see citing works
Lam, I., Ndayisaba, A., Lewis, A. J., Fu, Y., Sagredo, G. T., Kuzkina, A., Zaccagnini, L., Celikag, M., Sandoe, J., Sanz, R. L., et al. (2024) · Neuron · doi:10.1016/j.neuron.2024.06.002 · Cited by 35 · see citing works
Riboldi, G. M., Vialle, R. A., Navarro, E., Udine, E., Lopes, K. D. P., Humphrey, J., Allan, A., Parks, M., Henderson, B., Astudillo, K., et al. (2022) · Molecular Neurodegeneration · doi:10.1186/s13024-022-00554-8 · Cited by 31 · see citing works
Endosomal sorting pathways in the pathogenesis of Parkinson's disease
Cunningham, L. A., & Moore, D. J. (2020) · Progress in brain research · doi:10.1016/bs.pbr.2020.02.001 · Cited by 29 · see citing works
Ten Years of the International Parkinson Disease Genomics Consortium: Progress and Next Steps
The International Parkinson Disease Genomics Consortium (IPDGC) (2019) · Journal of Parkinson s Disease · doi:10.3233/jpd-191854 · Cited by 29 · see citing works
Self-citationHall, A., Bandrés‐Ciga, S., Díez-Fairén, M., Quinn, J. P., & Billingsley, K. J. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21197332 · Cited by 27 · see citing works
Self-citationLysosomal polygenic risk is associated with the severity of neuropathology in Lewy body disease
Tunold, J., Tan, M. M. X., Koga, S., Geut, H., Rozemüller, A. J. M., Valentino, R. R., Sekiya, H., Martin, N. B., Heckman, M. G., Brás, J., et al. (2023) · Brain · doi:10.1093/brain/awad183 · Cited by 28 · see citing works
Self-citationThe Endo-lysosomal System in Parkinson’s Disease: Expanding the Horizon
Muraleedharan, A., & Vanderperre, B. (2023) · Journal of Molecular Biology · doi:10.1016/j.jmb.2023.168140 · Cited by 27 · see citing works
Allele-specific expression of Parkinson’s disease susceptibility genes in human brain
Langmyhr, M., Henriksen, S. P., Cappelletti, C., van de Berg, W. D. J., Pihlstrøm, L., & Toft, M. (2021) · Scientific Reports · doi:10.1038/s41598-020-79990-9 · Cited by 27 · see citing works
Self-citationWhat have we learned from genome-wide association studies (GWAS) in Parkinson's disease?
Fernández‐Santiago, R., & Sharma, M. (2022) · Ageing Research Reviews · doi:10.1016/j.arr.2022.101648 · Cited by 26 · see citing works
Abe, T., & Kuwahara, T. (2021) · Frontiers in Neurology · doi:10.3389/fneur.2021.681369 · Cited by 24 · see citing works
Modeling Parkinson’s Disease: Not Only Rodents?
Shadrina, M. I., & Slominsky, P. A. (2021) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2021.695718 · Cited by 23 · see citing works
LRRK2 signaling in neurodegeneration: two decades of progress
Iannotta, L., & Greggio, E. (2021) · Essays in Biochemistry · doi:10.1042/ebc20210013 · Cited by 21 · see citing works
Precision Medicine in Parkinson’s Disease: From Genetic Risk Signals to Personalized Therapy
Straccia, G., Colucci, F., Eleopra, R., & Cilia, R. (2022) · Brain Sciences · doi:10.3390/brainsci12101308 · Cited by 22 · see citing works
Müller-Nedebock, A. C., van der Westhuizen, F. H., Kõks, S., & Bardien, S. (2021) · Movement Disorders · doi:10.1002/mds.28475 · Cited by 21 · see citing works
Using Mendelian randomization to understand and develop treatments for neurodegenerative disease
Storm, C. S., Kia, D. A., Almramhi, M. M., & Wood, N. W. (2020) · Brain Communications · doi:10.1093/braincomms/fcaa031 · Cited by 19 · see citing works
Bartl, M., Nilsson, J., Dakna, M., Weber, S., Schade, S., Xylaki, M., Gomes, B. F., Ernst, M. S., Muntean, M., Sixel‐Döring, F., et al. (2024) · npj Parkinson s Disease · doi:10.1038/s41531-024-00714-1 · Cited by 18 · see citing works
Rab7 reduces α-synuclein toxicity in rats and primary neurons
Szegő, É. M., Szegő, É. M., den Haute, C. V., Höfs, L., Baekelandt, V., der Perren, A. V., & Falkenburger, B. H. (2021) · Experimental Neurology · doi:10.1016/j.expneurol.2021.113900 · Cited by 18 · see citing works
Identification of mitophagy-related biomarkers and immune infiltration in major depressive disorder
Zhang, J., Xie, S., Xiao, R., Yang, D., Zhi, Z., & Li, Y. (2023) · BMC Genomics · doi:10.1186/s12864-023-09304-6 · Cited by 16 · see citing works
Modelling the functional genomics of Parkinson’s disease inCaenorhabditis elegans:LRRK2and beyond
Chandler, R. J., Cogo, S., Lewis, P. A., & Kevei, É. (2021) · Bioscience Reports · doi:10.1042/bsr20203672 · Cited by 15 · see citing works
Reed, X., Schuh, A. F. S., Hu, J. S., & Bandrés‐Ciga, S. (2021) · Journal of Personalized Medicine · doi:10.3390/jpm11030169 · Cited by 14 · see citing works
Loss of NDR1/2 kinases impairs endomembrane trafficking and autophagy leading to neurodegeneration
Roşianu, F., Mihaylov, S. R., Eder, N., Martiniuc, A., Claxton, S., Flynn, H. R., Jalal, S., Domart, M., Collinson, L., Skehel, M. J., et al. (2022) · Life Science Alliance · doi:10.26508/lsa.202201712 · Cited by 14 · see citing works
Mind the Gap: LRRK2 Phenotypes in the Clinic vs. in Patient Cells
Goveas, L. M., Mutez, E., Chartier‐Harlin, M., & Taymans, J. (2021) · Cells · doi:10.3390/cells10050981 · Cited by 12 · see citing works
In silico comparative analysis of LRRK2 interactomes from brain, kidney and lung
Verma, A., Ebanks, K., Fok, C.-Y., Lewis, P. A., Bettencourt, C., & Bandopadhyay, R. (2021) · Brain Research · doi:10.1016/j.brainres.2021.147503 · Cited by 11 · see citing works
Recent advances in novel mutation genes of Parkinson's disease
Yang, J., Wu, X., & Song, Y. (2023) · Journal of Neurology · doi:10.1007/s00415-023-11781-4 · Cited by 10 · see citing works
A candidate loss-of-function variant in SGIP1 causes synaptic dysfunction and recessive parkinsonism
Decet, M., Scott, P., Kuenen, S., Meftah, D., Swerts, J., Calatayud, C., Gallego, S. F., Kaempf, N., Nachman, E., Praschberger, R., et al. (2024) · Cell Reports Medicine · doi:10.1016/j.xcrm.2024.101749 · Cited by 8 · see citing works
Marchand, A., Sarchione, A., Athanasopoulos, P. S., Roy, H. B., Goveas, L. M., Magnez, R., Drouyer, M., Emanuele, M., Ho, F. Y., Liberelle, M., et al. (2022) · Cells · doi:10.3390/cells11061018 · Cited by 7 · see citing works
Etiology and pathogenesis of Parkinson disease
Jankovic, J. J., Hallett, M., Okun, M. S., Comella, C., Fahn, S., & Goldman, J. G. (2021) · Elsevier eBooks · doi:10.1016/b978-0-323-31071-0.00005-6 · Cited by 7 · see citing works
Chia, R., Sabir, M. S., Bandrés‐Ciga, S., Sáez-Atiénzar, S., Reynolds, R. H., Gustavsson, E. K., Walton, R. L., Ahmed, S., Viollet, C., Ding, J., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.07.06.185066 · Cited by 7 · see citing works
Self-citationPLEKHM1 Overexpression Impairs Autophagy and Exacerbates Neurodegeneration in rAAV-α-Synuclein Mice
Höfs, L., Geißler-Lösch, D., & Falkenburger, B. H. (2025) · Cells · doi:10.3390/cells14171340 · Cited by 5 · see citing works
Drug discovery and development for Parkinson’s disease: are preclinical models good enough?
Reinares-Sebastián, A., Esteban-García, N., Takada, M., & Trigo‐Damas, I. (2025) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2025.1692592 · Cited by 5 · see citing works
Bustos, B. I., Krainc, D., & Lubbe, S. J. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.06.06.137299 · Cited by 4 · see citing works
Nazeen, S., Wang, X., Zielinski, D., Lam, I., Hallacli, E., Xu, P., Ethier, E., Strom, R., Zanella, C. A., Nithianandam, V., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.03.03.583145 · Cited by 4 · see citing works
Distinctive characteristics of dopamine neuron release mechanisms: Insights into Parkinson’s Disease
Martino, E. D., Maduro, S., Luchicchi, A., Wilhelmus, M. M. M., & Orefice, N. S. (2026) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2026.119534 · Cited by 3 · see citing works
Xue, G., Wang, G., Shi, Q., Wang, H., Lv, B., Gao, M., Niu, X., & Zhang, H. (2025) · Neurobiology of Disease · doi:10.1016/j.nbd.2025.106891 · Cited by 2 · see citing works
Endosomal trafficking leads the way in Parkinson's disease
Farrer, M. J., & Follett, J. (2019) · Movement Disorders · doi:10.1002/mds.27647 · Cited by 2 · see citing works
Liu, Q., Bautista-Gomez, J., Higgins, D. A., Yu, J., & Xiong, Y. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.05.27.119388 · Cited by 2 · see citing works
Changes in the cerebrospinal fluid proteome precede and stratify the course of Parkinson’s DiseasePreprint
Tsukita, K., Sakamaki‐Tsukita, H., Kaiser, S., Zhang, L., Messa, M., Serrano‐Fernández, P., & Takahashi, R. (2022) · medRxiv · doi:10.1101/2022.06.08.22276035 · Cited by 2 · see citing works
Polygenic scores for disease risk are not associated with clinical outcomes in Parkinson’s diseasePreprint
Tan, M. M. X., Iwaki, H., Bandrés‐Ciga, S., Sosero, Y. L., Shoai, M., Brockmann, K., Williams, N. M., Alcalay, R. N., Maple‐Grødem, J., Alves, G. W., et al. (2025) · medRxiv · doi:10.1101/2025.01.31.25321395 · Cited by 3 · see citing works
Self-citationde Mathia, G. B., Mondo, G. S., Pedro, L. C., Niero, F. S., Rocha, N. R., Santos, L. N., Leonardo, L. M., Pereira, J. G., Alano, C. G., Lemos, I. D. S., et al. (2025) · Molecular Neurobiology · doi:10.1007/s12035-025-05545-6 · Cited by 1 · see citing works
Villanueva, E. B., Zebec, Z., Cisquella-Serra, M., Lundstrøm, J., Andersen, J. V., Qvist, F. L., Westi, E., Marin, A., Jimenez-Duran, G., Riera-Ponsati, L., et al. (2025) · bioRxiv · doi:10.1186/s12929-026-01257-8 · Cited by 1 · see citing works
Lysosomal dysfunction in neurodegenerative disease
Brooker, S. M., Coukos, R., & Krainc, D. (2026) · Nature Reviews Neurology · doi:10.1038/s41582-026-01262-3 · Cited by 1 · see citing works
Gock, N., Follett, J., Rintoul, G. L., Beischlag, T. V., & Lee, F. J. S. (2022) · Synapse · doi:10.1002/syn.22224 · Cited by 1 · see citing works
Zhu, A., Wang, F., Meng, J., Li, X., Liang, H., Liang, Y., & Song, L. (2025) · Clinical Neurology and Neurosurgery · doi:10.1016/j.clineuro.2025.109014 · Cited by 1 · see citing works
Disorders of Cellular Trafficking
García‐Cazorla, À., Dionisi‐Vici, C., & Saudubray, J. (2022) · Springer eBooks · doi:10.1007/978-3-662-63123-2_44 · Cited by 1 · see citing works
Roşianu, F., Mihaylov, S. R., Eder, N., Martiniuc, A., Claxton, S., Flynn, H. R., Jalal, S., Domart, M., Collinson, L., Skehel, M. J., et al. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.03.28.486054 · Cited by 1 · see citing works
Proteomic analysis of subcellular compartments containing disseminated alpha-synuclein seeds
Kasahara, J., Imamura, Y., Hiyama, A., Yamanaka, T., Miyazaki, H., & Nukina, N. (2020) · Neuroscience Research · doi:10.1016/j.neures.2020.11.009
A genetic and transcriptomic assessment of the KTN1 gene in Parkinson’s disease riskPreprint
Moore, A. K., Bandrés‐Ciga, S., Blauwendraat, C., & Díez-Fairén, M. (2021) · medRxiv · doi:10.1101/2021.03.08.21252688
Self-citationKasahara, J. (2021) · Institutional Repositories DataBase (IRDB) · doi:10.14988/00028188
Albin, R. L. (2022) · doi:10.1093/med/9780190843014.003.0007
Zhang, J., Xie, S., Xiao, R., Yang, D., Zhi, Z., & Li, Y. (2023) · Figshare · doi:10.6084/m9.figshare.22697040
DNA methylation studies in Parkinson’s disease
Pihlstrøm, L. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-13550-7.00001-x
Self-citationVillanueva, E. B., Zebec, Z., Lundstrøm, J., Andersen, J. V., Qvist, F. L., Westi, E. W., Marín, A., Jimenez‐Duran, G., Riera-Ponsati, L., Tresse, E., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.08.14.670043
Low-frequency genetic variants in GAK enhance Golgi function and protect against Parkinson’s diseasePreprint
Calatayud, C., Fernández‐Carasa, I., Spataro, N., Mussolino, C., Richaud‐Patín, Y., Faella, A., Fernández‐Santiago, R., Ezquerra, M., Courtin, T., Bandrés‐Ciga, S., et al. (2025) · medRxiv · doi:10.1101/2025.08.13.25333123
Cruz, L., Ferreira, F. M., Lopes‐Ramos, C. M., Wei, Z., Hendriks, W. T. J., Jinnah, H. A., Nakaya, H. I., Bragg, D. C., Krichevsky, A. M., Breakefield, X. O., et al. (2025) · The FASEB Journal · doi:10.1096/fj.202501157r · Cited by 1 · see citing works
Riboldi, G. M., Vialle, R. A., Navarro, E., Udine, E., de Paiva Lopes, K., Humphrey, J., Allan, A., Parks, M., Henderson, B., Astudillo, K., et al. (2022) · Figshare · doi:10.6084/m9.figshare.20508692
Riboldi, G. M., Vialle, R. A., Navarro, E., Udine, E., de Paiva Lopes, K., Humphrey, J., Allan, A., Parks, M., Henderson, B., Astudillo, K., et al. (2022) · Figshare · doi:10.6084/m9.figshare.20508698
Riboldi, G. M., Vialle, R. A., Navarro, E., Udine, E., de Paiva Lopes, K., Humphrey, J., Allan, A., Parks, M., Henderson, B., Astudillo, K., et al. (2022) · Figshare · doi:10.6084/m9.figshare.20508689
Riboldi, G. M., Vialle, R. A., Navarro, E., Udine, E., de Paiva Lopes, K., Humphrey, J., Allan, A., Parks, M., Henderson, B., Astudillo, K., et al. (2022) · Figshare · doi:10.6084/m9.figshare.20508695
Riboldi, G. M., Vialle, R. A., Navarro, E., Udine, E., de Paiva Lopes, K., Humphrey, J., Allan, A., Parks, M., Henderson, B., Astudillo, K., et al. (2022) · Figshare · doi:10.6084/m9.figshare.20508683
Riboldi, G. M., Vialle, R. A., Navarro, E., Udine, E., de Paiva Lopes, K., Humphrey, J., Allan, A., Parks, M., Henderson, B., Astudillo, K., et al. (2022) · Figshare · doi:10.6084/m9.figshare.20508701
Riboldi, G. M., Vialle, R. A., Navarro, E., Udine, E., de Paiva Lopes, K., Humphrey, J., Allan, A., Parks, M., Henderson, B., Astudillo, K., et al. (2022) · Figshare · doi:10.6084/m9.figshare.20508686
Riboldi, G. M., Vialle, R. A., Navarro, E., Udine, E., de Paiva Lopes, K., Humphrey, J., Allan, A., Parks, M., Henderson, B., Astudillo, K., et al. (2022) · Figshare · doi:10.6084/m9.figshare.20508680
Syed, K. M., Dunnack, J., Paatz, S., Ajjarapu, K., Sahagun, A., Rio, D. C., Soldner, F., Bateup, H. S., & Hockemeyer, D. F. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.05.04.722458
Li, C., Ou, R., Wei, Q., Wang, S., Zheng, X., Jiang, Q., Huang, J., Wang, Y., Xiao, Y., Liu, X., et al. (2026) · Movement Disorders · doi:10.1002/mds.70554
Zhang, Y., Huang, E., & Lin, N. (2026) · International Journal of Genomics · doi:10.1155/ijog/2340381
- Authors
- Bandres‐Ciga, S., Saez‐Atienzar, S., Bonet‐Ponce, L., Billingsley, K., Vitale, D., Blauwendraat, C., Gibbs, J. R., Pihlstrøm, L., Gan‐Or, Z., The International Parkinson's Disease Genomics Consortium (IPDGC), Cookson, M. R., Nalls, M. A., & Singleton, A. B.
- Affiliations
- Molecular Genetics Section, Laboratory of Neurogenetics National Institute on Aging, National Institutes of Health Bethesda Maryland USA
- Transgenics Section, Laboratory of Neurogenetics National Institute on Aging, National Institutes of Health Bethesda Maryland USA
- National Institutes of Health (US)
- Oslo University Hospital (NO)
- Montreal Neurological Institute and Hospital (CA)
- Corresponding author
- Singleton, Andrew B.
- ORCID
- Venue
- Movement Disorders
- Publisher
- Wiley
- Published
- 2019-01-24
- Volume
- 34
- Issue
- 4
- Pages
- 460-468
- ISSN
- 0885-3185 (ISSN-L)
- 1531-8257
- PMC
- PMC6467788
- OpenAlex
- W2913803346
- Cited by
- 90
- References
- 54
- Citations by year
- 2026: 6 · 2025: 9 · 2024: 7 · 2023: 6 · 2022: 24 · 2021: 19 · 2020: 12 · 2019: 7
- FWCI
- 10.49
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- Locations
- Movement Disorders (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- RISalud Institutional Health Repository of Andalucía (submittedVersion, other-oa)
- Murdoch University Research Portal (submittedVersion)
- UCL Discovery (University College London) (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Research Portal (Queen's University Belfast) (submittedVersion)
- Rare & Special e-Zone (The Hong Kong University of Science and Technology) (submittedVersion)
- Funders
- National Institutes of Health (1ZIA‐NS003154, Z01‐AG000949‐02, Z01‐ES101986)
- U.S. Department of Defense (W81XWH‐09‐2‐0128)
- Topics
- Health Sciences › Medicine › Neurology › Parkinson's Disease Mechanisms and Treatments
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Nuclear Receptors and Signaling
- Keywords
- Parkinson's disease, genetic risk factors, heritability, polygenic risk score, missing heritability, Mendelian randomization, expression quantitative trait loci, DNA methylation quantitative trait loci, etiology
- MeSH terms
- Endocytosis, Humans, Parkinson Disease, Risk Factors, Genetic Predisposition to Disease, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Genome-Wide Association Study, Mendelian Randomization Analysis
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