Whole-genome sequencing analysis reveals new susceptibility loci and structural variants associated with progressive supranuclear palsy.
Apolipoprotein E (APOE)
Genome-Wide Association Study (GWAS)
Progressive Supranuclear Palsy (PSP)
Structural Variants (SVs)
Whole-Genome Sequencing (WGS)
Journal
Molecular neurodegeneration
ISSN: 1750-1326
Titre abrégé: Mol Neurodegener
Pays: England
ID NLM: 101266600
Informations de publication
Date de publication:
16 Aug 2024
16 Aug 2024
Historique:
received:
29
01
2024
accepted:
22
07
2024
medline:
17
8
2024
pubmed:
17
8
2024
entrez:
16
8
2024
Statut:
epublish
Résumé
Progressive supranuclear palsy (PSP) is a rare neurodegenerative disease characterized by the accumulation of aggregated tau proteins in astrocytes, neurons, and oligodendrocytes. Previous genome-wide association studies for PSP were based on genotype array, therefore, were inadequate for the analysis of rare variants as well as larger mutations, such as small insertions/deletions (indels) and structural variants (SVs). In this study, we performed whole genome sequencing (WGS) and conducted association analysis for single nucleotide variants (SNVs), indels, and SVs, in a cohort of 1,718 cases and 2,944 controls of European ancestry. Of the 1,718 PSP individuals, 1,441 were autopsy-confirmed and 277 were clinically diagnosed. Our analysis of common SNVs and indels confirmed known genetic loci at MAPT, MOBP, STX6, SLCO1A2, DUSP10, and SP1, and further uncovered novel signals in APOE, FCHO1/MAP1S, KIF13A, TRIM24, TNXB, and ELOVL1. Notably, in contrast to Alzheimer's disease (AD), we observed the APOE ε2 allele to be the risk allele in PSP. Analysis of rare SNVs and indels identified significant association in ZNF592 and further gene network analysis identified a module of neuronal genes dysregulated in PSP. Moreover, seven common SVs associated with PSP were observed in the H1/H2 haplotype region (17q21.31) and other loci, including IGH, PCMT1, CYP2A13, and SMCP. In the H1/H2 haplotype region, there is a burden of rare deletions and duplications (P = 6.73 × 10 Through WGS, we significantly enhanced our understanding of the genetic basis of PSP, providing new targets for exploring disease mechanisms and therapeutic interventions.
Sections du résumé
BACKGROUND
BACKGROUND
Progressive supranuclear palsy (PSP) is a rare neurodegenerative disease characterized by the accumulation of aggregated tau proteins in astrocytes, neurons, and oligodendrocytes. Previous genome-wide association studies for PSP were based on genotype array, therefore, were inadequate for the analysis of rare variants as well as larger mutations, such as small insertions/deletions (indels) and structural variants (SVs).
METHOD
METHODS
In this study, we performed whole genome sequencing (WGS) and conducted association analysis for single nucleotide variants (SNVs), indels, and SVs, in a cohort of 1,718 cases and 2,944 controls of European ancestry. Of the 1,718 PSP individuals, 1,441 were autopsy-confirmed and 277 were clinically diagnosed.
RESULTS
RESULTS
Our analysis of common SNVs and indels confirmed known genetic loci at MAPT, MOBP, STX6, SLCO1A2, DUSP10, and SP1, and further uncovered novel signals in APOE, FCHO1/MAP1S, KIF13A, TRIM24, TNXB, and ELOVL1. Notably, in contrast to Alzheimer's disease (AD), we observed the APOE ε2 allele to be the risk allele in PSP. Analysis of rare SNVs and indels identified significant association in ZNF592 and further gene network analysis identified a module of neuronal genes dysregulated in PSP. Moreover, seven common SVs associated with PSP were observed in the H1/H2 haplotype region (17q21.31) and other loci, including IGH, PCMT1, CYP2A13, and SMCP. In the H1/H2 haplotype region, there is a burden of rare deletions and duplications (P = 6.73 × 10
CONCLUSIONS
CONCLUSIONS
Through WGS, we significantly enhanced our understanding of the genetic basis of PSP, providing new targets for exploring disease mechanisms and therapeutic interventions.
Identifiants
pubmed: 39152475
doi: 10.1186/s13024-024-00747-3
pii: 10.1186/s13024-024-00747-3
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
61Subventions
Organisme : NIH HHS
ID : RF1-AG074328
Pays : United States
Organisme : NIH HHS
ID : 5UG3NS104095
Pays : United States
Informations de copyright
© 2024. The Author(s).
Références
Hauw JJ, Daniel SE, Dickson D, Horoupian DS, Jellinger K, Lantos PL, et al. Preliminary NINDS neuropathologic criteria for Steele-Richardson-Olszewski syndrome (progressive supranuclear palsy). Neurology. 1994;44(11):2015–2015.
pubmed: 7969952
doi: 10.1212/WNL.44.11.2015
Stamelou M, Respondek G, Giagkou N, Whitwell JL, Kovacs GG, Höglinger GU. Evolving concepts in progressive supranuclear palsy and other 4-repeat tauopathies. Nat Rev Neurol. 2021;17(10):601–20.
pubmed: 34426686
doi: 10.1038/s41582-021-00541-5
Hoglinger GU, Respondek G, Stamelou M, Kurz C, Josephs KA, Lang AE, et al. Clinical Diagnosis of Progressive Supranuclear Palsy: The Movement Disorder Society Criteria. Mov Disord Off J Mov Disord Soc. 2017;32(6):853–64.
doi: 10.1002/mds.26987
Lukic MJ, Respondek G, Kurz C, Compta Y, Gelpi E, Ferguson LW, et al. Long-Duration Progressive Supranuclear Palsy: Clinical Course and Pathological Underpinnings. Ann Neurol. 2022;92(4):637–49.
pubmed: 35872640
doi: 10.1002/ana.26455
Ali F, Martin PR, Botha H, Ahlskog JE, Bower JH, Masumoto JY, et al. Sensitivity and specificity of diagnostic criteria for progressive supranuclear palsy. Mov Disord. 2019;34(8):1144–53.
pubmed: 30726566
pmcid: 6688972
doi: 10.1002/mds.27619
Kovacs GG, Lukic MJ, Irwin DJ, Arzberger T, Respondek G, Lee EB, et al. Distribution patterns of tau pathology in progressive supranuclear palsy. Acta Neuropathol (Berl). 2020;140(2):99–119.
pubmed: 32383020
doi: 10.1007/s00401-020-02158-2
Wen Y, Zhou Y, Jiao B, Shen L. Genetics of progressive supranuclear palsy: a review. J Park Dis. 2021;11(1):93–105.
Höglinger GU, Melhem NM, Dickson DW, Sleiman PM, Wang LS, Klei L, et al. Identification of common variants influencing risk of the tauopathy progressive supranuclear palsy. Nat Genet. 2011;43(7):699–705.
pubmed: 21685912
pmcid: 3125476
doi: 10.1038/ng.859
Borroni B, Agosti C, Magnani E, Di Luca M, Padovani A. Genetic bases of Progressive Supranuclear Palsy: the MAPT tau disease. Curr Med Chem. 2011;18(17):2655–60.
pubmed: 21568901
doi: 10.2174/092986711795933722
Rademakers R, Cruts M, Van Broeckhoven C. The role of tau (MAPT) in frontotemporal dementia and related tauopathies. Hum Mutat. 2004;24(4):277–95.
pubmed: 15365985
doi: 10.1002/humu.20086
Cooper YA, Teyssier N, Dräger NM, Guo Q, Davis JE, Sattler SM, et al. Functional regulatory variants implicate distinct transcriptional networks in dementia. Science. 2022;377(6608):eabi8654.
pubmed: 35981026
doi: 10.1126/science.abi8654
Sanchez-Contreras MY, Kouri N, Cook CN, Heckman MG, Finch NA, Caselli RJ, et al. Replication of progressive supranuclear palsy genome-wide association study identifies SLCO1A2 and DUSP10 as new susceptibility loci. Mol Neurodegener. 2018;13(1):1–10.
doi: 10.1186/s13024-018-0267-3
Chen JA, Chen Z, Won H, Huang AY, Lowe JK, Wojta K, et al. Joint genome-wide association study of progressive supranuclear palsy identifies novel susceptibility loci and genetic correlation to neurodegenerative diseases. Mol Neurodegener. 2018;13(1):1–11.
doi: 10.1186/s13024-018-0270-8
Jabbari E, Koga S, Valentino RR, Reynolds RH, Ferrari R, Tan MM, et al. Genetic determinants of survival in progressive supranuclear palsy: a genome-wide association study. Lancet Neurol. 2021;20(2):107–16.
pubmed: 33341150
doi: 10.1016/S1474-4422(20)30394-X
Jabbari E, Woodside J, Tan MM, Shoai M, Pittman A, Ferrari R, et al. Variation at the TRIM11 locus modifies progressive supranuclear palsy phenotype. Ann Neurol. 2018;84(4):485–96.
pubmed: 30066433
pmcid: 6221133
doi: 10.1002/ana.25308
Beecham GW, Bis JC, Martin ER, Choi SH, DeStefano AL, Van Duijn CM, et al. The Alzheimer’s Disease Sequencing Project: study design and sample selection. Neurol Genet. 2017;3(5).
Kuzma A, Valladares O, Cweibel R, Greenfest-Allen E, Childress DM, Malamon J, et al. NIAGADS: The NIA Genetics of Alzheimer’s Disease Data Storage Site. Alzheimers Dement. 2016;12(11):1200–3.
doi: 10.1016/j.jalz.2016.08.018
Consortium 1000 Genomes Project. A global reference for human genetic variation. Vol. 526, Nature. Nature Publishing Group; 2015. p. 68.
Lowy-Gallego E, Fairley S, Zheng-Bradley X, Ruffier M, Clarke L, Flicek P. Variant calling on the GRCh38 assembly with the data from phase three of the 1000 Genomes Project. Wellcome Open Res. 2019;30(4):50.
doi: 10.12688/wellcomeopenres.15126.2
Genome Reference Consortium. GRCh38 reference 000001405.15 [Internet]. [cited 2022 Jun 22]. Available from: https://ftp.ncbi.nlm.nih.gov/genomes/all/GCA/000/001/405/GCA_000001405.15_GRCh38/seqs_for_alignment_pipelines.ucsc_ids/GCA_000001405.15_GRCh38_no_alt_analysis_set.fna.gz .
Schneider VA, Graves-Lindsay T, Howe K, Bouk N, Chen HC, Kitts PA, et al. Evaluation of GRCh38 and de novo haploid genome assemblies demonstrates the enduring quality of the reference assembly. Genome Res. 2017;27(5):849–64.
pubmed: 28396521
pmcid: 5411779
doi: 10.1101/gr.213611.116
Yang J, Bakshi A, Zhu Z, Hemani G, Vinkhuyzen AA, Lee SH, et al. Genetic variance estimation with imputed variants finds negligible missing heritability for human height and body mass index. Nat Genet. 2015;47(10):1114–20.
pubmed: 26323059
pmcid: 4589513
doi: 10.1038/ng.3390
Gogarten SM, Sofer T, Chen H, Yu C, Brody JA, Thornton TA, et al. Genetic association testing using the GENESIS R/Bioconductor package. Bioinformatics. 2019;35(24):5346–8.
pubmed: 31329242
pmcid: 7904076
doi: 10.1093/bioinformatics/btz567
Manichaikul A, Mychaleckyj JC, Rich SS, Daly K, Sale M, Chen WM. Robust relationship inference in genome-wide association studies. Bioinformatics. 2010;26(22):2867–73.
pubmed: 20926424
pmcid: 3025716
doi: 10.1093/bioinformatics/btq559
Conomos MP, Miller MB, Thornton TA. Robust inference of population structure for ancestry prediction and correction of stratification in the presence of relatedness. Genet Epidemiol. 2015;39(4):276–93.
pubmed: 25810074
pmcid: 4836868
doi: 10.1002/gepi.21896
Zou Y, Carbonetto P, Wang G, Stephens M. Fine-mapping from summary data with the “Sum of Single Effects” model. PLoS Genet. 2022;18(7):e1010299.
pubmed: 35853082
pmcid: 9337707
doi: 10.1371/journal.pgen.1010299
Cook S, Choi W, Lim H, Luo Y, Kim K, Jia X, et al. Accurate imputation of human leukocyte antigens with CookHLA. Nat Commun. 2021;12(1):1264.
pubmed: 33627654
pmcid: 7904773
doi: 10.1038/s41467-021-21541-5
Wang K, Li M, Hakonarson H. ANNOVAR: functional annotation of genetic variants from high-throughput sequencing data. Nucleic Acids Res. 2010;38(16):e164.
pubmed: 20601685
pmcid: 2938201
doi: 10.1093/nar/gkq603
McLaren W, Gil L, Hunt SE, Riat HS, Ritchie GRS, Thormann A, et al. The Ensembl Variant Effect Predictor. Genome Biol. 2016;17(1):122.
pubmed: 27268795
pmcid: 4893825
doi: 10.1186/s13059-016-0974-4
Cunningham F, Allen JE, Allen J, Alvarez-Jarreta J, Amode MR, Armean IM, et al. Ensembl 2022. Nucleic Acids Res. 2022;50(D1):D988–95.
pubmed: 34791404
doi: 10.1093/nar/gkab1049
Karczewski KJ, Francioli LC, Tiao G, Cummings BB, Alföldi J, Wang Q, et al. The mutational constraint spectrum quantified from variation in 141,456 humans. Nature. 2020;581(7809):434–43.
pubmed: 32461654
pmcid: 7334197
doi: 10.1038/s41586-020-2308-7
Swarup V, Chang TS, Duong DM, Dammer EB, Dai J, Lah JJ, et al. Identification of Conserved Proteomic Networks in Neurodegenerative Dementia. Cell Rep. 2020;31(12):107807.
pubmed: 32579933
pmcid: 8221021
doi: 10.1016/j.celrep.2020.107807
Sjöstedt E, Zhong W, Fagerberg L, Karlsson M, Mitsios N, Adori C, et al. An atlas of the protein-coding genes in the human, pig, and mouse brain. Science. 2020;367(6482):eaay5947.
pubmed: 32139519
doi: 10.1126/science.aay5947
Melé M, Ferreira PG, Reverter F, DeLuca DS, Monlong J, Sammeth M, et al. Human genomics. The human transcriptome across tissues and individuals. Science. 2015;348(6235):660–5.
pubmed: 25954002
pmcid: 4547472
doi: 10.1126/science.aaa0355
Langfelder P, Horvath S. WGCNA: an R package for weighted correlation network analysis. BMC Bioinformatics. 2008;29(9):559.
doi: 10.1186/1471-2105-9-559
Chen X, Schulz-Trieglaff O, Shaw R, Barnes B, Schlesinger F, Källberg M, et al. Manta: rapid detection of structural variants and indels for germline and cancer sequencing applications. Bioinformatics. 2016;32(8):1220–2.
pubmed: 26647377
doi: 10.1093/bioinformatics/btv710
Layer RM, Chiang C, Quinlan AR, Hall IM. LUMPY: a probabilistic framework for structural variant discovery. Genome Biol. 2014;15(6):1–19.
doi: 10.1186/gb-2014-15-6-r84
Eggertsson HP, Kristmundsdottir S, Beyter D, Jonsson H, Skuladottir A, Hardarson MT, et al. GraphTyper2 enables population-scale genotyping of structural variation using pangenome graphs. Nat Commun. 2019;10(1):1–8.
doi: 10.1038/s41467-019-13341-9
Wang H, Dombroski BA, Cheng PL, Tucci A, Si Y qin, Farrell JJ, et al. Structural Variation Detection and Association Analysis of Whole-Genome-Sequence Data from 16,905 Alzheimer’s Diseases Sequencing Project Subjects. medRxiv. 2023;
Belyeu JR, Chowdhury M, Brown J, Pedersen BS, Cormier MJ, Quinlan AR, et al. Samplot: a platform for structural variant visual validation and automated filtering. Genome Biol. 2021;22(1):1–13.
doi: 10.1186/s13059-021-02380-5
Thorvaldsdóttir H, Robinson JT, Mesirov JP. Integrative Genomics Viewer (IGV): high-performance genomics data visualization and exploration. Brief Bioinform. 2013;14(2):178–92.
pubmed: 22517427
doi: 10.1093/bib/bbs017
Purcell S, Neale B, Todd-Brown K, Thomas L, Ferreira MA, Bender D, et al. PLINK: a tool set for whole-genome association and population-based linkage analyses. Am J Hum Genet. 2007;81(3):559–75.
pubmed: 17701901
pmcid: 1950838
doi: 10.1086/519795
Lee S, Emond MJ, Bamshad MJ, Barnes KC, Rieder MJ, Nickerson DA, et al. Optimal Unified Approach for Rare-Variant Association Testing with Application to Small-Sample Case-Control Whole-Exome Sequencing Studies. Am J Hum Genet. 2012;91(2):224–37.
pubmed: 22863193
pmcid: 3415556
doi: 10.1016/j.ajhg.2012.06.007
Wang X, Campbell MR, Lacher SE, Cho HY, Wan M, Crowl CL, et al. A polymorphic antioxidant response element links NRF2/sMAF binding to enhanced MAPT expression and reduced risk of Parkinsonian disorders. Cell Rep. 2016;15(4):830–42.
pubmed: 27149848
pmcid: 5063658
doi: 10.1016/j.celrep.2016.03.068
Anaya F, Lees A, Silva R. Tau gene promoter rs242557 and allele-specific protein binding. Transl Neurosci. 2011 Jan 1 [cited 2023 Nov 9];2(2). Available from: https://doi.org/10.2478/s13380-011-0021-6/html
Sawa A, Amano N, Yamada N, Kajio H, Yagishita S, Takahashi T, et al. Apolipoprotein E in progressive supranuclear palsy in Japan. Mol Psychiatry. 1997;2(4):341–2.
pubmed: 9246676
doi: 10.1038/sj.mp.4000285
Zhao N, Liu CC, Van Ingelgom AJ, Linares C, Kurti A, Knight JA, et al. APOE ε2 is associated with increased tau pathology in primary tauopathy. Nat Commun. 2018;9(1):4388.
pubmed: 30348994
pmcid: 6197187
doi: 10.1038/s41467-018-06783-0
Farrell K, Humphrey J, Chang T, Zhao Y, Leung YY, Kuksa PP, et al. Genetic, transcriptomic, histological, and biochemical analysis of progressive supranuclear palsy implicates glial activation and novel risk genes. bioRxiv. 2023;2023–11.
Lek M, Karczewski KJ, Minikel EV, Samocha KE, Banks E, Fennell T, et al. Analysis of protein-coding genetic variation in 60,706 humans. Nature. 2016;536(7616):285–91.
pubmed: 27535533
pmcid: 5018207
doi: 10.1038/nature19057
Chen S, Francioli LC, Goodrich JK, Collins RL, Kanai M, Wang Q, et al. A genome-wide mutational constraint map quantified from variation in 76,156 human genomes. bioRxiv. 2022;2022–03.
Lee WP, Choi SH, Shea MG, Cheng PL, Dombroski BA, Pitsillides AN, et al. Association of Common and Rare Variants with Alzheimer’s Disease in over 13,000 Diverse Individuals with Whole-Genome Sequencing from the Alzheimer’s Disease Sequencing Project. medRxiv. 2023;2023–09.
Lonsdale J, Thomas J, Salvatore M, Phillips R, Lo E, Shad S, et al. The genotype-tissue expression (GTEx) project. Nat Genet. 2013;45(6):580.
doi: 10.1038/ng.2653
Xie R, Nguyen S, McKeehan K, Wang F, McKeehan WL, Liu L. Microtubule-associated protein 1S (MAP1S) bridges autophagic components with microtubules and mitochondria to affect autophagosomal biogenesis and degradation. J Biol Chem. 2011;286(12):10367–77.
pubmed: 21262964
pmcid: 3060490
doi: 10.1074/jbc.M110.206532
Shi L, Huang C, Luo Q, Xia Y, Liu H, Li L, et al. Pilot study: molecular risk factors for diagnosing sporadic Parkinson’s disease based on gene expression in blood in MPTP-induced rhesus monkeys. Oncotarget. 2017;8(62):105606.
pubmed: 29285276
pmcid: 5739663
doi: 10.18632/oncotarget.22348
Pan M, Li X, Xu G, Tian X, Li Y, Fang W. Tripartite Motif Protein Family in Central Nervous System Diseases. Cell Mol Neurobiol. 2023;1–23.
Valcourt U, Alcaraz LB, Exposito JY, Lethias C, Bartholin L. Tenascin-X: beyond the architectural function. Cell Adhes Migr. 2015;9(1–2):154–65.
doi: 10.4161/19336918.2014.994893
Kutkowska-Kaźmierczak A, Rydzanicz M, Chlebowski A, K\losowska-Kosicka K, Mika A, Gruchota J, et al. Dominant ELOVL1 mutation causes neurological disorder with ichthyotic keratoderma, spasticity, hypomyelination and dysmorphic features. J Med Genet. 2018;55(6):408–14.
pubmed: 29496980
doi: 10.1136/jmedgenet-2017-105172
Swarup V, Hinz FI, Rexach JE, Noguchi K ichi, Toyoshiba H, Oda A, et al. Identification of evolutionarily conserved gene networks mediating neurodegenerative dementia. Nat Med. 2019;25(1):152–64.
Swarup V, Chang TS, Duong DM, Dammer EB, Dai J, Lah JJ, et al. Identification of conserved proteomic networks in neurodegenerative dementia. Cell Rep. 2020 [cited 2023 Nov 9];31(12). Available from: https://www.cell.com/cell-reports/pdf/S2211-1247(20)30788-9.pdf .
Parikshak NN, Gandal MJ, Geschwind DH. Systems biology and gene networks in neurodevelopmental and neurodegenerative disorders. Nat Rev Genet. 2015;16(8):441–58.
pubmed: 26149713
pmcid: 4699316
doi: 10.1038/nrg3934
Baker M, Litvan I, Houlden H, Adamson J, Dickson D, Perez-Tur J, et al. Association of an extended haplotype in the tau gene with progressive supranuclear palsy. Hum Mol Genet. 1999;8(4):711–5.
pubmed: 10072441
doi: 10.1093/hmg/8.4.711
Wang H, Wang LS, Schellenberg G, Lee WP. The role of structural variations in Alzheimer’s disease and other neurodegenerative diseases. Front Aging Neurosci. 2023.
Mizobuchi M, Murao K, Takeda R, Kakimoto Y. Tissue-specific expression of isoaspartyl protein carboxyl methyltransferase gene in rat brain and testis. J Neurochem. 1994;62(1):322–8.
pubmed: 8263531
doi: 10.1046/j.1471-4159.1994.62010322.x
Wu X, Jia G, Yang H, Sun C, Liu Y, Diao Z. Neural stem cell-conditioned medium upregulated the PCMT1 expression and inhibited the phosphorylation of MST1 in SH-SY5Y cells induced by Aβ 25–35. Biocell. 2022;46(2):471.
doi: 10.32604/biocell.2021.015701
Shi L, Al-Baadani A, Zhou K, Shao A, Xu S, Chen S, et al. PCMT1 ameliorates neuronal apoptosis by inhibiting the activation of MST1 after subarachnoid hemorrhage in rats. Transl Stroke Res. 2017;8:474–83.
doi: 10.1007/s12975-017-0540-8
Smit, AFA, Hubley, R & Green, P. RepeatMasker Open-4.0. 2013–2015 < http://www.repeatmasker.org >.
Chen JA, Chen Z, Won H, Huang AY, Lowe JK, Wojta K, et al. Joint genome-wide association study of progressive supranuclear palsy identifies novel susceptibility loci and genetic correlation to neurodegenerative diseases. Mol Neurodegener. 2018;13(1):41.
pubmed: 30089514
pmcid: 6083608
doi: 10.1186/s13024-018-0270-8
Rizzu P, Van Swieten JC, Joosse M, Hasegawa M, Stevens M, Tibben A, et al. High prevalence of mutations in the microtubule-associated protein tau in a population study of frontotemporal dementia in the Netherlands. Am J Hum Genet. 1999;64(2):414–21.
pubmed: 9973279
pmcid: 1377751
doi: 10.1086/302256
Rovelet-Lecrux A, Lecourtois M, Thomas-Anterion C, Le Ber I, Brice A, Frebourg T, et al. Partial deletion of the MAPT gene: A novel mechanism of FTDP-17. Hum Mutat. 2009;30(4):E591-602.
pubmed: 19263483
doi: 10.1002/humu.20979
Farrer LA, Cupples LA, Haines JL, Hyman B, Kukull WA, Mayeux R, et al. Effects of age, sex, and ethnicity on the association between apolipoprotein E genotype and Alzheimer disease: a meta-analysis. JAMA. 1997;278(16):1349–56.
pubmed: 9343467
doi: 10.1001/jama.1997.03550160069041
Selkoe DJ, Podlisny MB. Deciphering the genetic basis of Alzheimer’s disease. Annu Rev Genomics Hum Genet. 2002;3(1):67–99.
pubmed: 12142353
doi: 10.1146/annurev.genom.3.022502.103022
Shi Y, Yamada K, Liddelow SA, Smith ST, Zhao L, Luo W, et al. ApoE4 markedly exacerbates tau-mediated neurodegeneration in a mouse model of tauopathy. Nature. 2017;549(7673):523–7.
pubmed: 28959956
pmcid: 5641217
doi: 10.1038/nature24016
Rasmussen KL, Tybjærg-Hansen A, Nordestgaard BG, Frikke-Schmidt R. Associations of Alzheimer disease–protective APOE variants with age-related macular degeneration. JAMA Ophthalmol. 2023;141(1):13–21.
pubmed: 36394841
doi: 10.1001/jamaophthalmol.2022.4602
Klaver CC, Kliffen M, van Duijn CM, Hofman A, Cruts M, Grobbee DE, et al. Genetic association of apolipoprotein E with age-related macular degeneration. Am J Hum Genet. 1998;63(1):200–6.
pubmed: 9634502
pmcid: 1377225
doi: 10.1086/301901
Cebrián C, Loike JD, Sulzer D. Neuronal MHC-I expression and its implications in synaptic function, axonal regeneration and Parkinson’s and other brain diseases. Front Neuroanat. 2014;8:114.
pubmed: 25352786
pmcid: 4195363
doi: 10.3389/fnana.2014.00114
Dressman D, Elyaman W. T Cells: A Growing Universe of Roles in Neurodegenerative Diseases. Neuroscientist. 2022;28(4):335–48.
pubmed: 34160330
doi: 10.1177/10738584211024907
Maiers M, Gragert L, Klitz W. High-resolution HLA alleles and haplotypes in the United States population. Hum Immunol. 2007;68(9):779–88.
pubmed: 17869653
doi: 10.1016/j.humimm.2007.04.005
Lee S, Abecasis GR, Boehnke M, Lin X. Rare-variant association analysis: study designs and statistical tests. Am J Hum Genet. 2014;95(1):5–23.
pubmed: 24995866
pmcid: 4085641
doi: 10.1016/j.ajhg.2014.06.009
Cassandri M, Smirnov A, Novelli F, Pitolli C, Agostini M, Malewicz M, et al. Zinc-finger proteins in health and disease. Cell Death Discov. 2017;3(1):1–12.
doi: 10.1038/cddiscovery.2017.71
Fedotova AA, Bonchuk AN, Mogila VA, Georgiev PG. C2H2 Zinc Finger Proteins: The Largest but Poorly Explored Family of Higher Eukaryotic Transcription Factors. Acta Naturae. 2017;9(2):47–58.
pubmed: 28740726
pmcid: 5509000
doi: 10.32607/20758251-2017-9-2-47-58
Bu S, Lv Y, Liu Y, Qiao S, Wang H. Zinc Finger Proteins in Neuro-Related Diseases Progression. Front Neurosci. 2021;18(15):760567.
doi: 10.3389/fnins.2021.760567
Al-Naama N, Mackeh R, Kino T. C2H2-Type Zinc Finger Proteins in Brain Development, Neurodevelopmental, and Other Neuropsychiatric Disorders: Systematic Literature-Based Analysis. Front Neurol. 2020;11:32.
pubmed: 32117005
pmcid: 7034409
doi: 10.3389/fneur.2020.00032
Shin JH, Ko HS, Kang H, Lee Y, Lee YI, Pletinkova O, et al. PARIS (ZNF746) Repression of PGC-1α Contributes to Neurodegeneration in Parkinson’s Disease. Cell. 2011;144(5):689–702.
pubmed: 21376232
pmcid: 3063894
doi: 10.1016/j.cell.2011.02.010
Li R, Strohmeyer R, Liang Z, Lue LF, Rogers J. CCAAT/enhancer binding protein delta (C/EBPdelta) expression and elevation in Alzheimer’s disease. Neurobiol Aging. 2004;25(8):991–9.
pubmed: 15212823
doi: 10.1016/j.neurobiolaging.2003.10.016
Ko CY, Chang LH, Lee YC, Sterneck E, Cheng CP, Chen SH, et al. CCAAT/enhancer binding protein delta (CEBPD) elevating PTX3 expression inhibits macrophage-mediated phagocytosis of dying neuron cells. Neurobiol Aging. 2012;33(2):422.e11-25.
pubmed: 21112127
doi: 10.1016/j.neurobiolaging.2010.09.017
Nicolas E, Poitelon Y, Chouery E, Salem N, Levy N, Mégarbané A, et al. CAMOS, a nonprogressive, autosomal recessive, congenital cerebellar ataxia, is caused by a mutant zinc-finger protein, ZNF592. Eur J Hum Genet EJHG. 2010;18(10):1107–13.
pubmed: 20531441
doi: 10.1038/ejhg.2010.82
Vodopiutz J, Seidl R, Prayer D, Khan MI, Mayr JA, Streubel B, et al. WDR73 Mutations Cause Infantile Neurodegeneration and Variable Glomerular Kidney Disease. Hum Mutat. 2015;36(11):1021–8.
pubmed: 26123727
pmcid: 4616260
doi: 10.1002/humu.22828
Parikshak NN, Luo R, Zhang A, Won H, Lowe JK, Chandran V, et al. Integrative functional genomic analyses implicate specific molecular pathways and circuits in autism. Cell. 2013;155(5):1008–21.
pubmed: 24267887
pmcid: 3934107
doi: 10.1016/j.cell.2013.10.031
Takahashi M, Weidenheim KM, Dickson DW, Ksiezak-Reding H. Morphological and biochemical correlations of abnormal tau filaments in progressive supranuclear palsy. J Neuropathol Exp Neurol. 2002;61(1):33–45.
pubmed: 11829342
doi: 10.1093/jnen/61.1.33
Roemer SF, Grinberg LT, Crary JF, Seeley WW, McKee AC, Kovacs GG, et al. Rainwater Charitable Foundation criteria for the neuropathologic diagnosis of progressive supranuclear palsy. Acta Neuropathol (Berl). 2022;144(4):603–14.
pubmed: 35947184
doi: 10.1007/s00401-022-02479-4
Litvan I, Agid Y, Calne D, Campbell G, Dubois B, Duvoisin RC, et al. Clinical research criteria for the diagnosis of progressive supranuclear palsy (Steele-Richardson-Olszewski syndrome): report of the NINDS-SPSP international workshop. Neurology. 1996;47(1):1–9.
pubmed: 8710059
doi: 10.1212/WNL.47.1.1
Osaki Y, Ben-Shlomo Y, Lees AJ, Daniel SE, Colosimo C, Wenning G, et al. Accuracy of clinical diagnosis of progressive supranuclear palsy. Mov Disord Off J Mov Disord Soc. 2004;19(2):181–9.
doi: 10.1002/mds.10680
Lopez OL, Litvan I, Catt KE, Stowe R, Klunk W, Kaufer DI, et al. Accuracy of four clinical diagnostic criteria for the diagnosis of neurodegenerative dementias. Neurology. 1999;53(6):1292–9.
pubmed: 10522887
doi: 10.1212/WNL.53.6.1292
Litvan I, Campbell G, Mangone CA, Verny M, McKee A, Chaudhuri KR, et al. Which clinical features differentiate progressive supranuclear palsy (Steele-Richardson-Olszewski syndrome) from related disorders? A clinicopathological study. Brain J Neurol. 1997;120(Pt 1):65–74.
doi: 10.1093/brain/120.1.65
Hokelekli FO, Duffy JR, Clark HM, Utianski RL, Botha H, Ali F, et al. Autopsy Validation of Progressive Supranuclear Palsy-Predominant Speech/Language Disorder Criteria. Mov Disord Off J Mov Disord Soc. 2022;37(1):213–8.
doi: 10.1002/mds.28822
Gazzina S, Respondek G, Compta Y, Allinson KSJ, Spillantini MG, Molina-Porcel L, et al. Neuropathological validation of the MDS-PSP criteria with PSP and other frontotemporal lobar degeneration. bioRxiv; 2019 [cited 2023 Aug 7]. p. 520510. Available from: https://doi.org/10.1101/520510v1