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Large-scale meta-analysis of genome-wide association data identifies six new risk loci for Parkinson’s disease
Open accessAbstract
We conducted a meta-analysis of Parkinson's disease genome-wide association studies using a common set of 7,893,274 variants across 13,708 cases and 95,282 controls. Twenty-six loci were identified as having genome-wide significant association; these and 6 additional previously reported loci were then tested in an independent set of 5,353 cases and 5,551 controls. Of the 32 tested SNPs, 24 replicated, including 6 newly identified loci. Conditional analyses within loci showed that four loci, including GBA, GAK-DGKQ, SNCA and the HLA region, contain a secondary independent risk variant. In total, we identified and replicated 28 independent risk variants for Parkinson's disease across 24 loci. Although the effect of each individual locus was small, risk profile analysis showed substantial cumulative risk in a comparison of the highest and lowest quintiles of genetic risk (odds ratio (OR) = 3.31, 95% confidence interval (CI) = 2.55-4.30; P = 2 × 10(-16)). We also show six risk loci associated with proximal gene expression or DNA methylation.
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“Subsequently, rare families with biallelic loss of function mutations in GRN were identified, and affected individuals were found to have a juvenile-onset neuronal ceroid lipofuscinosis (NCL).114–116”
From The lysosome and proteostatic stress at the intersection of pediatric neurological disorders and adult neurodegenerative diseases (2025) · cites this paper as [114]
Experimental — accuracy not yet measuredIn the citing paper
“While only <10% of the heritability of PD has been explained by current genetic findings (Darweesh et al., 2016; Nalls et al., 2014; Pihlstrom et al., 2016), and while the clinical utility of genetic testing for PD outside of early onset patient populations is limited (Klein & Westenberger, 2012), genetic risk models have been shown to predict PD status from healthy controls, or correlate with”
From Combined accelerometer and genetic analysis to differentiate essential tremor from Parkinson’s disease (2018) · cites this paper as Nalls et al., 2014
In the citing paper
“First, a relatively small proportion (<10%) of the heritability of PD has been explained by current GWAS findings (Darweesh et al., 2016; Nalls et al., 2014; Pihlstrom et al., 2016)”
From Combined accelerometer and genetic analysis to differentiate essential tremor from Parkinson’s disease (2018) · cites this paper as Nalls et al., 2014
In the citing paper
“A PD polygenic risk score was calculated using a weighted allele-counting approach (Dudbridge, 2013) based on known, common PD susceptibility loci, derived from the largest and most recent PD genome-wide association study (GWAS) meta-analysis (Nalls et al., 2014).”
From Combined accelerometer and genetic analysis to differentiate essential tremor from Parkinson’s disease (2018) · cites this paper as Nalls et al., 2014
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Citations
Cites
A map of human genome variation from population-scale sequencing.
The 1000 Genomes Project Consortium (2010) · Nature · doi:10.1038/nature09534 · Cited by 7,877
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
Fast and accurate genotype imputation in genome-wide association studies through pre-phasing
Howie, B., Fuchsberger, C., Stephens, M., Marchini, J., & Abecasis, G. R. (2012) · Nature Genetics · doi:10.1038/ng.2354 · Cited by 1,737
The Rotterdam Study: objectives and design update
Albert Hofman, D., Breteler, M. M. B., van Duijn, C. M., Krestin, G. P., Pols, H. A. P., Stricker, B. H. C., Tiemeier, H. W., Uitterlinden, A. G., Vingerling, J. R., & Witteman, J. C. M. (2007) · European Journal of Epidemiology · doi:10.1007/s10654-007-9199-x · Cited by 1,408
Satake, W., Nakabayashi, Y., Mizuta, I., Hirota, Y., Ito, C., Kubo, M., Kawaguchi, T., Tsunoda, T., Watanabe, M., Takeda, A., et al. (2009) · Nature Genetics · doi:10.1038/ng.485 · Cited by 1,338
Wada, K., Tanaka, K., & Nakashima, K. (2011) · PubMed · Cited by 1,132
Nalls, M. A. (2011) · The Lancet · doi:10.1016/s0140-6736(10)62345-8 · Cited by 922
Self-citationHamza, T. H., Zabetian, C. P., Tenesa, A., Laederach, A., Montimurro, J. S., Yearout, D., Kay, D. M., Doheny, K. F., Paschall, J. E., Pugh, E., et al. (2010) · Nature Genetics · doi:10.1038/ng.642 · Cited by 808
Self-citationAbundant quantitative trait loci exist for DNA methylation and gene expression in human brain
Gibbs, J. R., van der Brug, M. P., Hernandez, D. G., Traynor, B. J., Nalls, M. A., Lai, S.-L., Arepalli, S., Dillman, A., Rafferty, I. P., Troncoso, J., et al. (2010) · PLoS Genetics · doi:10.1371/journal.pgen.1000952 · Cited by 769
Self-citationHan, B., & Eskin, E. (2011) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2011.04.014 · Cited by 680
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Kalia, L. V., & Lang, A. E. (2015) · The Lancet · doi:10.1016/s0140-6736(14)61393-3 · Cited by 6,184
Poewe, W., Seppi, K., Tanner, C. M., Halliday, G. M., Brundin, P., Volkmann, J., Schrag, A.-E., & Lang, A. E. (2017) · Nature Reviews Disease Primers · doi:10.1038/nrdp.2017.13 · Cited by 5,415
Gut microbiota regulate motor deficits and neuroinflammation in a model of Parkinson's disease
Sampson, T. R., Debelius, J. W., Thron, T., Janssen, S., Shastri, G. G., Ilhan, Z. E., Challis, C., Schretter, C. E., Rocha, S., Gradinaru, V., et al. (2016) · Cell · doi:10.1016/j.cell.2016.11.018 · Cited by 3,622
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
Self-citationImmunopathology of multiple sclerosis
Dendrou, C. A., Fugger, L., & Friese, M. A. (2015) · Nature Reviews Immunology · doi:10.1038/nri3871 · Cited by 2,215
Analysis of shared heritability in common disorders of the brain
The Brainstorm Consortium, Anttila, V., Bulik-Sullivan, B., Finucane, H. K., Walters, R. K., Bras, J., Duncan, L., Escott-Price, V., Falcone, G. J., Gormley, P., et al. (2018) · Science · doi:10.1126/science.aap8757 · Cited by 1,924
Self-citationInflammation and immune dysfunction in Parkinson disease
Tansey, M. G., Wallings, R. L., Houser, M. C., Herrick, M. K., Keating, C. E., & Joers, V. (2022) · Nature Reviews Immunology · doi:10.1038/s41577-022-00684-6 · Cited by 1,382
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
Self-citationFinucane, H. K., Reshef, Y. A., Anttila, V., Slowikowski, K., Gusev, A., Byrnes, A., Gazal, S., Loh, P.-R., Lareau, C., Shoresh, N., et al. (2018) · Nature Genetics · doi:10.1038/s41588-018-0081-4 · Cited by 1,097
Roles of tau protein in health and disease
Guo, T., Noble, W., & Hanger, D. P. (2017) · Acta Neuropathologica · doi:10.1007/s00401-017-1707-9 · Cited by 1,003
Phosphoproteomics reveals that Parkinson's disease kinase LRRK2 regulates a subset of Rab GTPases
Steger, M., Tonelli, F., Ito, G., Davies, P., Trost, M., Vetter, M., Wachter, S., Lorentzen, E., Duddy, G., Wilson, S., et al. (2016) · eLife · doi:10.7554/elife.12813 · Cited by 1,042
Self-citationComprehensive functional genomic resource and integrative model for the human brain
Wang, D., Liu, S., Warrell, J., Won, H., Shi, X., Navarro, F. C. P., Clarke, D., Gu, M., Emani, P., Yang, Y. T., et al. (2018) · Science · doi:10.1126/science.aat8464 · Cited by 965
α-synuclein toxicity in neurodegeneration: mechanism and therapeutic strategies
Wong, Y. C., & Krainc, D. (2017) · Nature Medicine · doi:10.1038/nm.4269 · Cited by 897
The genetic architecture of the human cerebral cortex
Grasby, K. L., Jahanshad, N., Painter, J. N., Colodro-Conde, L., Bralten, J., Hibar, D. P., Lind, P. A., Pizzagalli, F., Ching, C. R. K., McMahon, M. A. B., et al. (2020) · Science · doi:10.1126/science.aay6690 · Cited by 876
Self-citationObeso, J. A., Stamelou, M., Goetz, C. G., Poewe, W., Lang, A. E., Weintraub, D., Burn, D., Halliday, G. M., Bezard, E., Przedborski, S., et al. (2017) · Movement Disorders · doi:10.1002/mds.27115 · Cited by 859
“of 26 independent genetic loci with PD risk (Table 3).(165)”
Integrative functional genomic analysis of human brain development and neuropsychiatric risks
Li, M., Santpere, G., Imamura Kawasawa, Y., Evgrafov, O. V., Gulden, F. O., Pochareddy, S., Sunkin, S. M., Li, Z., Shin, Y., Zhu, Y., et al. (2018) · Science · doi:10.1126/science.aat7615 · Cited by 810
Manzoni, C., Kia, D. A., Vandrovcová, J., Hardy, J., Wood, N. W., Lewis, P. A., & Ferrari, R. (2016) · Briefings in Bioinformatics · doi:10.1093/bib/bbw114 · Cited by 859
Self-citationStructures of α-synuclein filaments from multiple system atrophy
Schweighauser, M., Shi, Y., Tarutani, A., Kametani, F., Murzin, A. G., Ghetti, B. F., Matsubara, T., Tomita, T., Ando, T., Hasegawa, K., et al. (2020) · Nature · doi:10.1038/s41586-020-2317-6 · Cited by 803
Davies, G., Lam, M., Harris, S. E., Trampush, J. W., Luciano, M., Hill, W. D., Hagenaars, S. P., Ritchie, S. J., Marioni, R. E., Fawns‐Ritchie, C., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-04362-x · Cited by 686
Self-citationMeta-analysis of 375,000 individuals identifies 38 susceptibility loci for migraine
Gormley, P., Anttila, V., Winsvold, B. S., Palta, P., Esko, T., Pers, T. H., Farh, K.-H., Cuenca-León, E., Muona, M., Furlotte, N. A., et al. (2016) · Nature Genetics · doi:10.1038/ng.3598 · Cited by 690
Self-citationFriedman, B. A., Srinivasan, K., Ayalon, G., Meilandt, W. J., Lin, H., Huntley, M. A., Cao, Y., Lee, S.-H., Haddick, P. C. G., Ngu, H., et al. (2018) · Cell Reports · doi:10.1016/j.celrep.2017.12.066 · Cited by 662
Genetic identification of brain cell types underlying schizophrenia
Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Skene, N. G., Bryois, J., Bakken, T. E., Breen, G., Crowley, J. J., Gaspar, H. A., Giusti-Rodriguez, P., Hodge, R. D., Miller, J. A., et al. (2018) · Nature Genetics · doi:10.1038/s41588-018-0129-5 · Cited by 651
Savelieff, M. G., Nam, G., Kang, J., Lee, H. J., Lee, M., & Lim, M. H. (2018) · Chemical Reviews · doi:10.1021/acs.chemrev.8b00138 · Cited by 612
Irwin, D. J., Grossman, M., Weintraub, D. A., Hurtig, H. I., Duda, J. E., Xie, S. X., Lee, E. B., Deerlin, V. M. V., López, O. L., Kofler, J., et al. (2016) · The Lancet Neurology · doi:10.1016/s1474-4422(16)30291-5 · Cited by 606
Smajić, S., Prada-Medina, C. A., Landoulsi, Z., Ghelfi, J., Delcambre, S., Dietrich, C., Jarazo, J., Henck, J., Balachandran, S., Pachchek, S., et al. (2022) · Brain · doi:10.1093/brain/awab446 · Cited by 590
A Quarter Century of APOE and Alzheimer’s Disease: Progress to Date and the Path Forward
Belloy, M. E., Napolioni, V., & Greicius, M. D. (2019) · Neuron · doi:10.1016/j.neuron.2019.01.056 · Cited by 570
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
Self-citationParkinson’s Disease: From Pathogenesis to Pharmacogenomics
Cacabelos, R. (2017) · International Journal of Molecular Sciences · doi:10.3390/ijms18030551 · Cited by 588
Parkinson’s Disease: Etiology, Neuropathology, and Pathogenesis
Kouli, A., Torsney, K., & Kuan, W. (2018) · Codon Publications eBooks · doi:10.15586/codonpublications.parkinsonsdisease.2018.ch1 · Cited by 634
Dehay, B., Bourdenx, M., Gorry, P., Przedborski, S., Vila, M., Hunot, S., Singleton, A., Olanow, C. W., Merchant, K., Bézard, E., et al. (2015) · The Lancet Neurology · doi:10.1016/s1474-4422(15)00006-x · Cited by 556
Self-citationThe genetics of Parkinson disease
Deng, H., Wang, P., & Jankovic, J. (2018) · Ageing Research Reviews · doi:10.1016/j.arr.2017.12.007 · Cited by 530
Mitochondrial dysfunction and mitophagy in Parkinson's: from familial to sporadic disease
Ryan, B. J., Hoek, S., Fon, E. A., & Wade-Martins, R. (2015) · Trends in Biochemical Sciences · doi:10.1016/j.tibs.2015.02.003 · Cited by 524
Parkinson-associated risk variant in distal enhancer of α-synuclein modulates target gene expression
Soldner, F., Stelzer, Y., Shivalila, C., Abraham, B. J., Latourelle, J. C., Barrasa, M. I., Goldmann, J. E., Myers, R. H., Young, R. A., & Jaenisch, R. (2016) · Nature · doi:10.1038/nature17939 · Cited by 507
Self-citationStructures of α-synuclein filaments from human brains with Lewy pathology
Yang, Y., Shi, Y., Schweighauser, M., Zhang, X., Kotecha, A., Murzin, A. G., Garringer, H. J., Cullinane, P. W., Saito, Y., Foroud, T., et al. (2022) · Nature · doi:10.1038/s41586-022-05319-3 · Cited by 486
Self-citationSteger, M., Diez, F., Dhekne, H. S., Lis, P., Nirujogi, R. S., Karayel, O., Tonelli, F., Martinez, T. N., Lorentzen, E., Pfeffer, S. R., et al. (2017) · eLife · doi:10.7554/elife.31012 · Cited by 482
Defects in trafficking bridge Parkinson’s disease pathology and genetics
Abeliovich, A., & Gitler, A. D. (2016) · Nature · doi:10.1038/nature20414 · Cited by 462
Parkinson disease and the immune system - Associations, mechanisms and therapeutics
Tan, E.-K., Chao, Y.-X., West, A., Chan, L.-L., Poewe, W., & Jankovic, J. (2020) · Nature Reviews Neurology · doi:10.1038/s41582-020-0344-4 · Cited by 457
Epidemiology of Parkinson's disease
Elbaz, A., Carcaillon‐Bentata, L., Kab, S., & Moisan, F. (2015) · Revue Neurologique · doi:10.1016/j.neurol.2015.09.012 · Cited by 487
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
“The loci containing SNCA, HLA-DRB5, GAK, and SYT11 (synaptotagmin 11) each contain two identified common risk alleles that act independently of one another (Nalls et al. 2014).”
BackgroundSelf-citationModeling Parkinson’s Disease With the Alpha-Synuclein Protein
Gómez-Benito, M., Granado, N., García‐Sanz, P., Michel, A., Dumoulin, M., & Moratalla, R. (2020) · Frontiers in Pharmacology · doi:10.3389/fphar.2020.00356 · Cited by 472
LRRK2 in Parkinson disease: challenges of clinical trials
TOLOSA, E. S., Vila, M., Klein, C., & Rascol, O. (2020) · Nature Reviews Neurology · doi:10.1038/s41582-019-0301-2 · Cited by 443
Lesage, S., Drouet, V., Majounie, E., Deramecourt, V., Jacoupy, M., Nicolas, A., Cormier‐Dequaire, F., Hassoun, S. M., Pujol, C., Ciura, S., et al. (2016) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2016.01.014 · Cited by 438
Self-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
Self-citationPang, S. Y.-Y., Ho, P. W., Liu, H., Leung, C.-T., Li, L., Chang, E. E. S., Ramsden, D. B., & Ho, S. (2019) · Translational Neurodegeneration · doi:10.1186/s40035-019-0165-9 · Cited by 457
Environmental risk factors and Parkinson's disease: An umbrella review of meta-analyses
Bellou, V., Belbasis, L., Tzoulaki, I., Εvangelou, Ε., & Ioannidis, J. P. A. (2015) · Parkinsonism & Related Disorders · doi:10.1016/j.parkreldis.2015.12.008 · Cited by 443
Self-citationOxidative stress and regulated cell death in Parkinson’s disease
Dionísio, P. A., Amaral, J. D., & Rodrigues, C. M. P. (2021) · Ageing Research Reviews · doi:10.1016/j.arr.2021.101263 · Cited by 443
The immunogenetics of multiple sclerosis: A comprehensive review
Hollenbach, J. A., & Oksenberg, J. R. (2015) · Journal of Autoimmunity · doi:10.1016/j.jaut.2015.06.010 · Cited by 423
Historical Perspective: Models of Parkinson’s Disease
Chia, S. J., Tan, E., & Chao, Y. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21072464 · Cited by 438
Gut-seeded α-synuclein fibrils promote gut dysfunction and brain pathology specifically in aged mice
Challis, C., Hori, A., Sampson, T. R., Yoo, B. B., Challis, R. C., Hamilton, A. M., Mazmanian, S. K., Volpicelli-Daley, L. A., & Gradinaru, V. (2020) · Nature Neuroscience · doi:10.1038/s41593-020-0589-7 · Cited by 405
Microglia Mediated Neuroinflammation in Parkinson’s Disease
Işık, S., Yeman-Kıyak, B., Akbayır, R., Şeyhali-Abutayeh, R., & Arpaci, T. (2023) · Cells · doi:10.3390/cells12071012 · Cited by 419
Hui, K. Y., Fernandez-Hernandez, H., Hu, J., Schaffner, A., Pankratz, N., Hsu, N.-Y., Chuang, L.-S., Carmi, S., Villaverde, N., Li, X., et al. (2018) · Science Translational Medicine · doi:10.1126/scitranslmed.aai7795 · Cited by 384
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 386
Self-citationBryois, J., Skene, N., Hansen, T. F., Kogelman, L. J. A., Watson, H. J., Liu, Z., Adan, R. A. H., Alfredsson, L. S., Ando, T., Andreassen, O. A., et al. (2020) · Nature Genetics · doi:10.1038/s41588-020-0610-9 · Cited by 381
The BrainSeq Consortium, Jaffe, A. E., Straub, R. E., Shin, J. H., Tao, R., Gao, Y., Collado-Torres, L., Kam-Thong, T., Xi, H. S., Quan, J., et al. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0197-y · Cited by 364
Genetics of Parkinson's disease
Lill, C. M. (2016) · Molecular and Cellular Probes · doi:10.1016/j.mcp.2016.11.001 · Cited by 387
Self-citationCorces, M. R., Shcherbina, A., Kundu, S., Gloudemans, M. J., Frésard, L., Granja, J. M., Louie, B. H., Eulalio, T., Shams, S., Bagdatli, S. T., et al. (2020) · Nature Genetics · doi:10.1038/s41588-020-00721-x · Cited by 358
Calabrese, V., Santoro, A., Monti, D., Crupi, R., Di Paola, R., Latteri, S., Cuzzocrea, S., Zappia, M., Giordano, J., Calabrese, E. J., et al. (2018) · Free Radical Biology and Medicine · doi:10.1016/j.freeradbiomed.2017.10.379 · Cited by 356
Genome-wide pleiotropy between Parkinson disease and autoimmune diseases
Witoelar, A., Jansen, I. E., Wang, Y., Desikan, R. S., Gibbs, J. R., Blauwendraat, C., Thompson, W. K., Hernandez, D. G., Djurovic, S., Schork, A. J., et al. (2017) · JAMA Neurology · doi:10.1001/jamaneurol.2017.0469 · Cited by 352
Self-citationSkene, N., & Grant, S. G. N. (2016) · Frontiers in Neuroscience · doi:10.3389/fnins.2016.00016 · Cited by 345
The two-century journey of Parkinson disease research
Przedborski, S. (2017) · Nature reviews. Neuroscience · doi:10.1038/nrn.2017.25 · Cited by 354
Intracerebral hemorrhage: an update on diagnosis and treatment
Hostettler, I. C., Seiffge, D. J., & Werring, D. J. (2019) · Expert Review of Neurotherapeutics · doi:10.1080/14737175.2019.1623671 · Cited by 345
Blauwendraat, C., Heilbron, K., Vallerga, C. L., Bandrés‐Ciga, S., von Coelln, R., Pihlstrøm, L., Simón‐Sánchez, J., Schulte, C., Sharma, M., Krohn, L., et al. (2019) · Movement Disorders · doi:10.1002/mds.27659 · Cited by 338
Self-citationImmune Signaling in Neurodegeneration
Hammond, T. R., Marsh, S. E., & Stevens, B. (2019) · Immunity · doi:10.1016/j.immuni.2019.03.016 · Cited by 336
Mechanisms of mitophagy: PINK1, Parkin, USP30 and beyond
Bingol, B., & Sheng, M. (2016) · Free Radical Biology and Medicine · doi:10.1016/j.freeradbiomed.2016.04.015 · Cited by 340
Synaptic, Mitochondrial, and Lysosomal Dysfunction in Parkinson’s Disease
Nguyen, M., Wong, Y. C., Ysselstein, D., Severino, A., & Krainc, D. (2019) · Trends in Neurosciences · doi:10.1016/j.tins.2018.11.001 · Cited by 323
Pasluosta, C. F., Gassner, H., Winkler, J., Klucken, J., & Eskofier, B. M. (2015) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2015.2461555 · Cited by 323
Yan, Z., Gibson, S. A., Buckley, J. A., Qin, H., & Benveniste, E. N. (2018) · Clinical Immunology · doi:10.1016/j.clim.2016.09.014 · Cited by 318
Lee, C. H., Cook, S., Lee, J. S., & Han, B. (2016) · Genomics & Informatics · doi:10.5808/gi.2016.14.4.173 · Cited by 308
Self-citationTriggers, Facilitators, and Aggravators: Redefining Parkinson’s Disease Pathogenesis
Johnson, M., Stecher, B., Labrie, V., Brundin, L., & Brundin, P. (2018) · Trends in Neurosciences · doi:10.1016/j.tins.2018.09.007 · Cited by 320
Bryois, J., Calini, D., Macnair, W., Foo, L., Urich, E., Ortmann, W., Iglesias, V. A., Selvaraj, S., Nutma, E., Marzin, M., et al. (2022) · Nature Neuroscience · doi:10.1038/s41593-022-01128-z · Cited by 311
APOE2: protective mechanism and therapeutic implications for Alzheimer’s disease
Li, Z., Shue, F., Zhao, N., Shinohara, M., & Bu, G. (2020) · Molecular Neurodegeneration · doi:10.1186/s13024-020-00413-4 · Cited by 306
Mechanisms of secretion and spreading of pathological tau protein
Brunello, C. A., Merezhko, M., Uronen, R.-L., & Huttunen, H. J. (2020) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-019-03349-1 · Cited by 304
“Moreover, genetic studies have linked variants of the tau gene, MAPT, to susceptibility of developing sporadic PD [80, 81], and mutations in MAPT are associated with dementia with parkinsonism [31].”
BackgroundEmerging therapies in Parkinson disease — repurposed drugs and new approaches
Elkouzi, A., Vedam‐Mai, V., Eisinger, R. S., & Okun, M. S. (2019) · Nature Reviews Neurology · doi:10.1038/s41582-019-0155-7 · Cited by 316
Alpha synuclein aggregation drives ferroptosis: an interplay of iron, calcium and lipid peroxidation
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Moussaud, S., Jones, D. R., Moussaud-Lamodière, E. L., Delenclos, M., Ross, O. A., & McLean, P. J. (2014) · Molecular Neurodegeneration · doi:10.1186/1750-1326-9-43 · Cited by 301
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Foo, J. N., Chew, E. G. Y., Chung, S. J., Peng, R., Blauwendraat, C., Nalls, M. A., Mok, K. Y., Satake, W., Toda, T., Chao, Y., et al. (2020) · JAMA Neurology · doi:10.1001/jamaneurol.2020.0428 · Cited by 253
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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 262
Self-citationPropagation of prions causing synucleinopathies in cultured cells
Woerman, A. L., Stöhr, J., Aoyagi, A., Rampersaud, R., Krejciova, Z., Watts, J. C., Ohyama, T., Patel, S. S., Widjaja, K., Oehler, A., et al. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1513426112 · Cited by 250
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Moisan, F., Kab, S., Mohamed, F. B., Canonico, M., Guern, M. L., Quintin, C., Carcaillon‐Bentata, L., Nicolau, J., Duport, N., Singh‐Manoux, A., et al. (2015) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp-2015-312283 · Cited by 246
Jinn, S., Drolet, R. E., Cramer, P. E., Wong, H. K., Toolan, D. M., Gretzula, C. A., Voleti, B., Vassileva, G., Disa, J., Tadin‐Strapps, M., et al. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1616332114 · Cited by 251
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Therapeutic approaches to target alpha-synuclein pathology
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Metadata
- Authors
- 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), United Kingdom Brain Expression Consortium (UKBEC), Greek Parkinson's Disease Consortium, Alzheimer Genetic Analysis Group, Pankratz, N., Lill, C. M., Do, C. B., Hernandez, D. G., Saad, M., DeStefano, A. L., Kara, E., Bras, J., Sharma, M., Schulte, C., Keller, M. F., Arepalli, S., Letson, C., Edsall, C., Stefansson, H., Liu, X., Pliner, H., Lee, J. H., Cheng, R., Ikram, M. A., Ioannidis, J. P. A., Hadjigeorgiou, G. M., Bis, J. C., Martinez, M., Perlmutter, J. S., Goate, A., Marder, K., Fiske, B., Sutherland, M., Xiromerisiou, G., Myers, R. H., Clark, L. N., Stefansson, K., Hardy, J. A., Heutink, P., Chen, H., Wood, N. W., Houlden, H., Payami, H., Brice, A., Scott, W. K., Gasser, T., Bertram, L., Eriksson, N., Foroud, T., & Singleton, A. B.
- Affiliations
- National Institutes of Health (US)
- University of Minnesota (US)
- University Medical Center of the Johannes Gutenberg University Mainz (DE)
- 23andMe (United States) (US)
- National Hospital for Neurology and Neurosurgery (GB)
- Boston University (US)
- National Institute on Aging (US)
- Université Toulouse III - Paul Sabatier (FR)
- Columbia University Irving Medical Center (US)
- University of Thessaly (GR)
- University of Washington (US)
- Washington University in St. Louis (US)
- deCODE Genetics (Iceland) (IS)
- New York State Department of Health (US)
- University of Miami (US)
- Hertie Institute for Clinical Brain Research (DE)
- Centre National de la Recherche Scientifique (FR)
- Max Planck Institute for Molecular Genetics (DE)
- Indiana University Indianapolis (US)
- Corresponding author
- Singleton, Andrew B
- ORCID
- Nalls, Mike A
- Pankratz, Nathan
- Lill, Christina M
- Hernandez, Dena G
- Saad, Mohamad
- DeStefano, Anita L
- Kara, Eleanna
- Sharma, Manu
- Schulte, Claudia
- Keller, Margaux F
- Letson, Christopher
- Edsall, Connor
- Liu, Xinmin
- Pliner, Hannah
- Lee, Joseph H
- Cheng, Rong
- Ikram, M Arfan
- Ioannidis, John P A
- Bis, Joshua C
- Martinez, Maria
- Perlmutter, Joel S
- Goate, Alison
- Marder, Karen
- Fiske, Brian
- Sutherland, Margaret
- Xiromerisiou, Georgia
- Myers, Richard H
- Clark, Lorraine N
- Hardy, John A
- Heutink, Peter
- Chen, Honglei
- Wood, Nicholas W
- Houlden, Henry
- Payami, Haydeh
- Brice, Alexis
- Scott, William K
- Gasser, Thomas
- Bertram, Lars
- Foroud, Tatiana
- Singleton, Andrew B
- Venue
- Nature Genetics
- Published
- 2014-09
- Volume
- 46
- Issue
- 9
- Pages
- 989-993
- ISSN
- 1061-4036 (ISSN-L)
- 1546-1718
- PMC
- PMC4146673
- OpenAlex
- W2141459724
- Cited by
- 1,895
- References
- 40
- Citations by year
- 2026: 67 · 2025: 86 · 2024: 103 · 2023: 142 · 2022: 182 · 2021: 194 · 2020: 187 · 2019: 176 · 2018: 212 · 2017: 194 · 2016: 185 · 2015: 140 · 2014: 25
- FWCI
- 24.85
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Genetics (publishedVersion)
- PubMed (publishedVersion)
- Pure Amsterdam UMC (publishedVersion)
- Amsterdam UMC (VU Amsterdam) - Institutional Repository (publishedVersion)
- EUR Research Repository (Erasmus University Rotterdam) (publishedVersion)
- PubMed Central (acceptedVersion)
- Open Research Exeter (University of Exeter) (acceptedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- EUR Research Repository (Erasmus University Rotterdam) (submittedVersion)
- RePub (Erasmus University Rotterdam) (submittedVersion, other-oa)
- Leiden Repository (Leiden University) (submittedVersion)
- Adelaide Research & Scholarship (AR&S) (University of Adelaide) (submittedVersion)
- ePrints Soton (University of Southampton) (submittedVersion)
- UCL Discovery (University College London) (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- ORCA Online Research @Cardiff (Cardiff University) (submittedVersion)
- University of Thessaly Institutional Repository (University of Thessaly) (submittedVersion)
- Research Portal (King's College London) (submittedVersion)
- DZNE Pub (submittedVersion)
- University of Birmingham Research Portal (University of Birmingham) (submittedVersion)
- MPG.PuRe (Max Planck Society) (submittedVersion, other-oa)
- Radboud Repository (Radboud University) (submittedVersion)
- IUScholarWorks (Indiana University) (submittedVersion)
- Purdue University Indianapolis (Indiana University) (submittedVersion)
- Spiral (Imperial College London) (submittedVersion)
- Hirsla (Landspítali University Hospital) (submittedVersion)
- Funders
- Wellcome Trust (085475, 083948/Z/07/Z, 090355, 089698, 076113, WT089698/Z/09/Z)
- National Institute for Health and Care Research (ACF-2012-17-017)
- Parkinson's UK (F-1202, G-0907, G0909, J‐0804)
- National Institutes of Health (1r01hl120393-01a1, UL1TR001108, UL1TR000124, 5r44hg006981-03, Z01-AG000949)
- Medical Research Council (MC_G1000735, MR/J004758/1, MC_PC_09003, MR/L501554/1, MR/L010305/1, MR/L016400/1, MC_G0901330)
- National Institute on Aging (Z01AG000932, AG-16495, R01AG031287, AG031287, P30AG024826, AG08122, AG033193, AG025259, AG023629, R01AG041797, R01AG016495, P30AG013846, R01AG025259, R01AG033193, R01AG008122, U24AG056270, U24AG021886)
- National Heart, Lung, and Blood Institute (R01-HL120393)
- National Human Genome Research Institute (R44-HG006981)
- National Cancer Institute (R01CA141668)
- National Institute of Diabetes and Digestive and Kidney Diseases (DK063491, P30DK063491)
- National Institute of Neurological Disorders and Stroke (R01NS037167, R21NS050487, NS036630, R01NS036960, NS050487, K23NS070867, R01 NS 36960, NS17950, U01NS082151, R01NS088538, P50NS038377, R01NS076843, R01NS075321, R01NS060113, P50NS071674, K02NS073836, R01NS017950, NS060113)
- National Center for Research Resources (UL1RR024156, KL2RR024154)
- National Center for Advancing Translational Sciences
- Topics
- Health Sciences › Medicine › Clinical Neurology › Parkinson's Disease Mechanisms and Treatments
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Nuclear Receptors and Signaling
- Keywords
- Parkinson's disease, genetic susceptibility loci, genome-wide association study, risk alleles, glucocerebrosidase, SNCA, HLA region, conditional analysis, cumulative genetic risk, gene expression, DNA methylation, replication
- MeSH terms
- Genotype, Humans, Parkinson Disease, Risk Factors, Case-Control Studies, Genetic Predisposition to Disease, Polymorphism, Single Nucleotide, Genome-Wide Association Study, Genetic Loci
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