Browsing by Author "Le Ber, Isabelle"

Now showing 1 - 7 of 7
  • Thumbnail Image
    Item
    Association of Structural Forms of 17q21.31 with the Risk of Progressive Supranuclear Palsy and MAPT Sub-haplotypes
    (medRxiv, 2024-02-28) Wang, Hui; Chang, Timothy S.; Dombroski, Beth A.; Cheng, Po-Liang; Si, Ya-Qin; Tucci, Albert; Patil, Vishakha; Valiente-Banuet, Leopoldo; Farrell, Kurt; Mclean, Catriona; Molina-Porcel, Laura; Alex, Rajput; De Deyn, Peter Paul; Le Bastard, Nathalie; Gearing, Marla; Donker Kaat, Laura; Van Swieten, John C.; Dopper, Elise; Ghetti, Bernardino F.; Newell, Kathy L.; Troakes, Claire; de Yébenes, Justo G.; Rábano-Gutierrez, Alberto; Meller, Tina; Oertel, Wolfgang H.; Respondek, Gesine; Stamelou, Maria; Arzberger, Thomas; Roeber, Sigrun; Müller, Ulrich; Hopfner, Franziska; Pastor, Pau; Brice, Alexis; Durr, Alexandra; Le Ber, Isabelle; Beach, Thomas G.; Serrano, Geidy E.; Hazrati, Lili-Naz; Litvan, Irene; Rademakers, Rosa; Ross, Owen A.; Galasko, Douglas; Boxer, Adam L.; Miller, Bruce L.; Seeley, Willian W.; Van Deerlin, Vivianna M.; Lee, Edward B.; White, Charles L., III; Morris, Huw R.; de Silva, Rohan; Crary, John F.; Goate, Alison M.; Friedman, Jeffrey S.; Leung, Yuk Yee; Coppola, Giovanni; Naj, Adam C.; Wang, Li-San; PSP genetics study group; Dickson, Dennis W.; Höglinger, Günter U.; Tzeng, Jung-Ying; Geschwind, Daniel H.; Schellenberg, Gerard D.; Lee, Wan-Ping; Pathology and Laboratory Medicine, School of Medicine
    Importance: The chromosome 17q21.31 region, containing a 900 Kb inversion that defines H1 and H2 haplotypes, represents the strongest genetic risk locus in progressive supranuclear palsy (PSP). In addition to H1 and H2, various structural forms of 17q21.31, characterized by the copy number of α, β, and γ duplications, have been identified. However, the specific effect of each structural form on the risk of PSP has never been evaluated in a large cohort study. Objective: To assess the association of different structural forms of 17q.21.31, defined by the copy numbers of α, β, and γ duplications, with the risk of PSP and MAPT sub-haplotypes. Design setting and participants: Utilizing whole genome sequencing data of 1,684 (1,386 autopsy confirmed) individuals with PSP and 2,392 control subjects, a case-control study was conducted to investigate the association of copy numbers of α, β, and γ duplications and structural forms of 17q21.31 with the risk of PSP. All study subjects were selected from the Alzheimer's Disease Sequencing Project (ADSP) Umbrella NG00067.v7. Data were analyzed between March 2022 and November 2023. Main outcomes and measures: The main outcomes were the risk (odds ratios [ORs]) for PSP with 95% CIs. Risks for PSP were evaluated by logistic regression models. Results: The copy numbers of α and β were associated with the risk of PSP only due to their correlation with H1 and H2, while the copy number of γ was independently associated with the increased risk of PSP. Each additional duplication of γ was associated with 1.10 (95% CI, 1.04-1.17; P = 0.0018) fold of increased risk of PSP when conditioning H1 and H2. For the H1 haplotype, addition γ duplications displayed a higher odds ratio for PSP: the odds ratio increases from 1.21 (95%CI 1.10-1.33, P = 5.47 × 10-5) for H1β1γ1 to 1.29 (95%CI 1.16-1.43, P = 1.35 × 10-6) for H1β1γ2, 1.45 (95%CI 1.27-1.65, P = 3.94 × 10-8) for H1β1γ3, and 1.57 (95%CI 1.10-2.26, P = 1.35 × 10-2) for H1β1γ4. Moreover, H1β1γ3 is in linkage disequilibrium with H1c (R2 = 0.31), a widely recognized MAPT sub-haplotype associated with increased risk of PSP. The proportion of MAPT sub-haplotypes associated with increased risk of PSP (i.e., H1c, H1d, H1g, H1o, and H1h) increased from 34% in H1β1γ1 to 77% in H1β1γ4. Conclusions and relevance: This study revealed that the copy number of γ was associated with the risk of PSP independently from H1 and H2. The H1 haplotype with more γ duplications showed a higher odds ratio for PSP and were associated with MAPT sub-haplotypes with increased risk of PSP. These findings expand our understanding of how the complex structure at 17q21.31 affect the risk of PSP.
  • Thumbnail Image
    Item
    Correction: Whole-genome sequencing analysis reveals new susceptibility loci and structural variants associated with progressive supranuclear palsy
    (Springer Nature, 2024-10-14) Wang, Hui; Chang, Timothy S.; Dombroski, Beth A.; Cheng, Po-Liang; Patil, Vishakha; Valiente-Banuet, Leopoldo; Farrell, Kurt; Mclean, Catriona; Molina-Porcel, Laura; Rajput, Alex; De Deyn, Peter Paul; Le Bastard, Nathalie; Gearing, Marla; Donker Kaat, Laura; Van Swieten, John C.; Dopper, Elise; Ghetti, Bernardino F.; Newell, Kathy L.; Troakes, Claire; de Yébenes, Justo G.; Rábano-Gutierrez, Alberto; Meller, Tina; Oertel, Wolfgang H.; Respondek, Gesine; Stamelou, Maria; Arzberger, Thomas; Roeber, Sigrun; Müller, Ulrich; Hopfner, Franziska; Pastor, Pau; Brice, Alexis; Durr, Alexandra; Le Ber, Isabelle; Beach, Thomas G.; Serrano, Geidy E.; Hazrati, Lili-Naz; Litvan, Irene; Rademakers, Rosa; Ross, Owen A.; Galasko, Douglas; Boxer, Adam L.; Miller, Bruce L.; Seeley, Willian W.; Van Deerlin, Vivanna M.; Lee, Edward B.; White, Charles L., III; Morris, Huw; de Silva, Rohan; Crary, John F.; Goate, Alison M.; Friedman, Jeffrey S.; Leung, Yuk Yee; Coppola, Giovanni; Naj, Adam C.; Wang, Li-San; P. S. P. genetics study group; Dalgard, Clifton; Dickson, Dennis W.; Höglinger, Günter U.; Schellenberg, Gerard D.; Geschwind, Daniel H.; Lee, Wan-Ping; Pathology and Laboratory Medicine, School of Medicine
    Correction : Mol Neurodegeneration 19, 61 (2024) https://doi.org/10.1186/s13024-024-00747-3 The original article [1] erroneously gives a wrong affiliation for Ulrich Müller. His correct affiliation is Institute of Human Genetics, Justus-Liebig University Giessen, 35392 Giessen, Germany.
  • Thumbnail Image
    Item
    Creating the Pick's disease International Consortium: Association study of MAPT H2 haplotype with risk of Pick's disease
    (medRxiv, 2023-04-24) Valentino, Rebecca R.; Scotton, William J.; Roemer, Shanu F.; Lashley, Tammaryn; Heckman, Michael G.; Shoai, Maryam; Martinez-Carrasco, Alejandro; Tamvaka, Nicole; Walton, Ronald L.; Baker, Matthew C.; Macpherson, Hannah L.; Real, Raquel; Soto-Beasley, Alexandra I.; Mok, Kin; Revesz, Tamas; Warner, Thomas T.; Jaunmuktane, Zane; Boeve, Bradley F.; Christopher, Elizabeth A.; DeTure, Michael; Duara, Ranjan; Graff-Radford, Neill R.; Josephs, Keith A.; Knopman, David S.; Koga, Shunsuke; Murray, Melissa E.; Lyons, Kelly E.; Pahwa, Rajesh; Parisi, Joseph E.; Petersen, Ronald C.; Whitwell, Jennifer; Grinberg, Lea T.; Miller, Bruce; Schlereth, Athena; Seeley, William W.; Spina, Salvatore; Grossman, Murray; Irwin, David J.; Lee, Edward B.; Suh, EunRan; Trojanowski, John Q.; Van Deerlin, Vivianna M.; Wolk, David A.; Connors, Theresa R.; Dooley, Patrick M.; Frosch, Matthew P.; Oakley, Derek H.; Aldecoa, Iban; Balasa, Mircea; Gelpi, Ellen; Borrego-Écija, Sergi; de Eugenio Huélamo, Rosa Maria; Gascon-Bayarri, Jordi; Sánchez-Valle, Raquel; Sanz-Cartagena, Pilar; Piñol-Ripoll, Gerard; Molina-Porcel, Laura; Bigio, Eileen H.; Flanagan, Margaret E.; Gefen, Tamar; Rogalski, Emily J.; Weintraub, Sandra; Redding-Ochoa, Javier; Chang, Koping; Troncoso, Juan C.; Prokop, Stefan; Newell, Kathy L.; Ghetti, Bernardino; Jones, Matthew; Richardson, Anna; Robinson, Andrew C.; Roncaroli, Federico; Snowden, Julie; Allinson, Kieren; Green, Oliver; Rowe, James B.; Singh, Poonam; Beach, Thomas G.; Serrano, Geidy E.; Flowers, Xena E.; Goldman, James E.; Heaps, Allison C.; Leskinen, Sandra P.; Teich, Andrew F.; Black, Sandra E.; Keith, Julia L.; Masellis, Mario; Bodi, Istvan; King, Andrew; Sarraj, Safa-Al; Troakes, Claire; Halliday, Glenda M.; Hodges, John R.; Kril, Jillian J.; Kwok, John B.; Piguet, Olivier; Gearing, Marla; Arzberger, Thomas; Roeber, Sigrun; Attems, Johannes; Morris, Christopher M.; Thomas, Alan J.; Evers, Bret M.; White, Charles L.; Mechawar, Naguib; Sieben, Anne A.; Cras, Patrick P.; De Vil, Bart B.; De Deyn, Peter Paul P. P.; Duyckaerts, Charles; Le Ber, Isabelle; Seihean, Danielle; Turbant-Leclere, Sabrina; MacKenzie, Ian R.; McLean, Catriona; Cykowski, Matthew D.; Ervin, John F.; Wang, Shih-Hsiu J.; Graff, Caroline; Nennesmo, Inger; Nagra, Rashed M.; Riehl, James; Kovacs, Gabor G.; Giaccone, Giorgio; Nacmias, Benedetta; Neumann, Manuela; Ang, Lee-Cyn; Finger, Elizabeth C.; Blauwendraat, Cornelis; Nalls, Mike A.; Singleton, Andrew B.; Vitale, Dan; Cunha, Cristina; Carvalho, Agostinho; Wszolek, Zbigniew K.; Morris, Huw R.; Rademakers, Rosa; Hardy, John A.; Dickson, Dennis W.; Rohrer, Jonathan D.; Ross, Owen A.; Pathology and Laboratory Medicine, School of Medicine
    Background: Pick's disease (PiD) is a rare and predominantly sporadic form of frontotemporal dementia that is classified as a primary tauopathy. PiD is pathologically defined by argyrophilic inclusion Pick bodies and ballooned neurons in the frontal and temporal brain lobes. PiD is characterised by the presence of Pick bodies which are formed from aggregated, hyperphosphorylated, 3-repeat tau proteins, encoded by the MAPT gene. The MAPT H2 haplotype has consistently been associated with a decreased disease risk of the 4-repeat tauopathies of progressive supranuclear palsy and corticobasal degeneration, however its role in susceptibility to PiD is unclear. The primary aim of this study was to evaluate the association between MAPT H2 and risk of PiD. Methods: We established the Pick's disease International Consortium (PIC) and collected 338 (60.7% male) pathologically confirmed PiD brains from 39 sites worldwide. 1,312 neurologically healthy clinical controls were recruited from Mayo Clinic Jacksonville, FL (N=881) or Rochester, MN (N=431). For the primary analysis, subjects were directly genotyped for MAPT H1-H2 haplotype-defining variant rs8070723. In secondary analysis, we genotyped and constructed the six-variant MAPT H1 subhaplotypes (rs1467967, rs242557, rs3785883, rs2471738, rs8070723, and rs7521). Findings: Our primary analysis found that the MAPT H2 haplotype was associated with increased risk of PiD (OR: 1.35, 95% CI: 1.12-1.64 P=0.002). In secondary analysis involving H1 subhaplotypes, a protective association with PiD was observed for the H1f haplotype (0.0% vs. 1.2%, P=0.049), with a similar trend noted for H1b (OR: 0.76, 95% CI: 0.58-1.00, P=0.051). The 4-repeat tauopathy risk haplotype MAPT H1c was not associated with PiD susceptibility (OR: 0.93, 95% CI: 0.70-1.25, P=0.65). Interpretation: The PIC represents the first opportunity to perform relatively large-scale studies to enhance our understanding of the pathobiology of PiD. This study demonstrates that in contrast to its protective role in 4R tauopathies, the MAPT H2 haplotype is associated with an increased risk of PiD. This finding is critical in directing isoform-related therapeutics for tauopathies.
  • Thumbnail Image
    Item
    Potential genetic modifiers of disease risk and age at onset in patients with frontotemporal lobar degeneration and GRN mutations: a genome-wide association study
    (Elsevier, 2018-06) Pottier, Cyril; Zhou, Xiaolai; Perkerson, Ralph B.; Baker, Matt; Jenkins, Gregory D.; Serie, Daniel J.; Ghidoni, Roberta; Benussi, Luisa; Binetti, Giuliano; de Munain, Adolfo López; Zulaica, Miren; Moreno, Fermin; Le Ber, Isabelle; Pasquier, Florence; Hannequin, Didier; Sánchez-Valle, Raquel; Antonell, Anna; Lladó, Albert; Parsons, Tammee M.; Finch, NiCole A.; Finger, Elizabeth C.; Lippa, Carol F.; Huey, Edward D.; Neumann, Manuela; Heutink, Peter; Synofzik, Matthis; Wilke, Carlo; Rissman, Robert A.; Slawek, Jaroslaw; Sitek, Emilia; Johannsen, Peter; Nielsen, Jørgen E.; Ren, Yingxue; van Blitterswijk, Marka; DeJesus-Hernandez, Mariely; Christopher, Elizabeth; Murray, Melissa E.; Bieniek, Kevin F.; Evers, Bret M.; Ferrari, Camilla; Rollinson, Sara; Richardson, Anna; Scarpini, Elio; Fumagalli, Giorgio G.; Padovani, Alessandro; Hardy, John; Momeni, Parastoo; Ferrari, Raffaele; Frangipane, Francesca; Maletta, Raffaele; Anfossi, Maria; Gallo, Maura; Petrucelli, Leonard; Suh, EunRan; Lopez, Oscar L.; Wong, Tsz H.; van Rooij, Jeroen G. J.; Seelaar, Harro; Mead, Simon; Caselli, Richard J.; Reiman, Eric M.; Sabbagh, Marwan Noel; Kjolby, Mads; Nykjaer, Anders; Karydas, Anna M.; Boxer, Adam L.; Grinberg, Lea T.; Grafman, Jordan; Spina, Salvatore; Oblak, Adrian; Mesulam, M-Marsel; Weintraub, Sandra; Geula, Changiz; Hodges, John R.; Piguet, Olivier; Brooks, William S.; Irwin, David J.; Trojanowski, John Q.; Lee, Edward B.; Josephs, Keith A.; Parisi, Joseph E.; Ertekin-Taner, Nilüfer; Knopman, David S.; Nacmias, Benedetta; Piaceri, Irene; Bagnoli, Silvia; Sorbi, Sandro; Gearing, Marla; Glass, Jonathan; Beach, Thomas G.; Black, Sandra E.; Masellis, Mario; Rogaeva, Ekaterina; Vonsattel, Jean-Paul; Honig, Lawrence S.; Kofler, Julia; Bruni, Amalia C.; Snowden, Julie; Mann, David; Pickering-Brown, Stuart; Diehl-Schmid, Janine; Winkelmann, Juliane; Galimberti, Daniela; Graff, Caroline; Öijerstedt, Linn; Troakes, Claire; Al-Sarraj, Safa; Cruchaga, Carlos; Cairns, Nigel J.; Rohrer, Jonathan D.; Halliday, Glenda M.; Kwok, John B.; van Swieten, John C.; White, Charles L.; Ghetti, Bernardino; Murell, Jill R.; Mackenzie, Ian R. A.; Hsiung, Ging-Yuek R.; Borroni, Barbara; Rossi, Giacomina; Tagliavini, Fabrizio; Wszolek, Zbigniew K.; Petersen, Ronald C.; Bigio, Eileen H.; Grossman, Murray; Van Deerlin, Vivianna M.; Seeley, William W.; Miller, Bruce L.; Graff-Radford, Neill R.; Boeve, Bradley F.; Dickson, Dennis W.; Biernacka, Joanna M.; Rademakers, Rosa; Pathology and Laboratory Medicine, School of Medicine
    BACKGROUND: Loss-of-function mutations in GRN cause frontotemporal lobar degeneration (FTLD). Patients with GRN mutations present with a uniform subtype of TAR DNA-binding protein 43 (TDP-43) pathology at autopsy (FTLD-TDP type A); however, age at onset and clinical presentation are variable, even within families. We aimed to identify potential genetic modifiers of disease onset and disease risk in GRN mutation carriers. METHODS: The study was done in three stages: a discovery stage, a replication stage, and a meta-analysis of the discovery and replication data. In the discovery stage, genome-wide logistic and linear regression analyses were done to test the association of genetic variants with disease risk (case or control status) and age at onset in patients with a GRN mutation and controls free of neurodegenerative disorders. Suggestive loci (p<1 × 10-5) were genotyped in a replication cohort of patients and controls, followed by a meta-analysis. The effect of genome-wide significant variants at the GFRA2 locus on expression of GFRA2 was assessed using mRNA expression studies in cerebellar tissue samples from the Mayo Clinic brain bank. The effect of the GFRA2 locus on progranulin concentrations was studied using previously generated ELISA-based expression data. Co-immunoprecipitation experiments in HEK293T cells were done to test for a direct interaction between GFRA2 and progranulin. FINDINGS: Individuals were enrolled in the current study between Sept 16, 2014, and Oct 5, 2017. After quality control measures, statistical analyses in the discovery stage included 382 unrelated symptomatic GRN mutation carriers and 1146 controls free of neurodegenerative disorders collected from 34 research centres located in the USA, Canada, Australia, and Europe. In the replication stage, 210 patients (67 symptomatic GRN mutation carriers and 143 patients with FTLD without GRN mutations pathologically confirmed as FTLD-TDP type A) and 1798 controls free of neurodegenerative diseases were recruited from 26 sites, 20 of which overlapped with the discovery stage. No genome-wide significant association with age at onset was identified in the discovery or replication stages, or in the meta-analysis. However, in the case-control analysis, we replicated the previously reported TMEM106B association (rs1990622 meta-analysis odds ratio [OR] 0·54, 95% CI 0·46-0·63; p=3·54 × 10-16), and identified a novel genome-wide significant locus at GFRA2 on chromosome 8p21.3 associated with disease risk (rs36196656 meta-analysis OR 1·49, 95% CI 1·30-1·71; p=1·58 × 10-8). Expression analyses showed that the risk-associated allele at rs36196656 decreased GFRA2 mRNA concentrations in cerebellar tissue (p=0·04). No effect of rs36196656 on plasma and CSF progranulin concentrations was detected by ELISA; however, co-immunoprecipitation experiments in HEK293T cells did suggest a direct binding of progranulin and GFRA2. INTERPRETATION: TMEM106B-related and GFRA2-related pathways might be future targets for treatments for FTLD, but the biological interaction between progranulin and these potential disease modifiers requires further study. TMEM106B and GFRA2 might also provide opportunities to select and stratify patients for future clinical trials and, when more is known about their potential effects, to inform genetic counselling, especially for asymptomatic individuals. FUNDING: National Institute on Aging, National Institute of Neurological Disorders and Stroke, Canadian Institutes of Health Research, Italian Ministry of Health, UK National Institute for Health Research, National Health and Medical Research Council of Australia, and the French National Research Agency.
  • Thumbnail Image
    Item
    Temporal order of clinical and biomarker changes in familial frontotemporal dementia
    (Springer Nature, 2022) Staffaroni, Adam M.; Quintana, Melanie; Wendelberger, Barbara; Heuer, Hilary W.; Russell, Lucy L.; Cobigo, Yann; Wolf, Amy; Goh, Sheng-Yang Matt; Petrucelli, Leonard; Gendron, Tania F.; Heller, Carolin; Clark, Annie L.; Taylor, Jack Carson; Wise, Amy; Ong, Elise; Forsberg, Leah; Brushaber, Danielle; Rojas, Julio C.; VandeVrede, Lawren; Ljubenkov, Peter; Kramer, Joel; Casaletto, Kaitlin B.; Appleby, Brian; Bordelon, Yvette; Botha, Hugo; Dickerson, Bradford C.; Domoto-Reilly, Kimiko; Fields, Julie A.; Foroud, Tatiana; Gavrilova, Ralitza; Geschwind, Daniel; Ghoshal, Nupur; Goldman, Jill; Graff-Radford, Jonathon; Graff-Radford, Neill; Grossman, Murray; Hall, Matthew G. H.; Hsiung, Ging-Yuek; Huey, Edward D.; Irwin, David; Jones, David T.; Kantarci, Kejal; Kaufer, Daniel; Knopman, David; Kremers, Walter; Lago, Argentina Lario; Lapid, Maria I.; Litvan, Irene; Lucente, Diane; Mackenzie, Ian R.; Mendez, Mario F.; Mester, Carly; Miller, Bruce L.; Onyike, Chiadi U.; Rademakers, Rosa; Ramanan, Vijay K.; Ramos, Eliana Marisa; Rao, Meghana; Rascovsky, Katya; Rankin, Katherine P.; Roberson, Erik D.; Savica, Rodolfo; Tartaglia, M. Carmela; Weintraub, Sandra; Wong, Bonnie; Cash, David M.; Bouzigues, Arabella; Swift, Imogen J.; Peakman, Georgia; Bocchetta, Martina; Todd, Emily G.; Convery, Rhian S.; Rowe, James B.; Borroni, Barbara; Galimberti, Daniela; Tiraboschi, Pietro; Masellis, Mario; Finger, Elizabeth; van Swieten, John C.; Seelaar, Harro; Jiskoot, Lize C.; Sorbi, Sandro; Butler, Chris R.; Graff, Caroline; Gerhard, Alexander; Langheinrich, Tobias; Laforce, Robert; Sanchez-Valle, Raquel; de Mendonça, Alexandre; Moreno, Fermin; Synofzik, Matthis; Vandenberghe, Rik; Ducharme, Simon; Le Ber, Isabelle; Levin, Johannes; Danek, Adrian; Otto, Markus; Pasquier, Florence; Santana, Isabel; Kornak, John; Boeve, Bradley F.; Rosen, Howard J.; Rohrer, Jonathan D.; Boxer, Adam L.; Frontotemporal Dementia Prevention Initiative (FPI) Investigators; Medicine, School of Medicine
    Unlike familial Alzheimer’s disease, we have been unable to accurately predict symptom onset in presymptomatic familial frontotemporal dementia (f-FTD) mutation carriers, which is a major hurdle to designing disease prevention trials. We developed multimodal models for f-FTD disease progression and estimated clinical trial sample sizes in C9orf72, GRN, and MAPT mutation carriers. Models included longitudinal clinical and neuropsychological scores, regional brain volumes, and plasma neurofilament light chain (NfL) in 796 carriers and 412 non-carrier controls. We found that the temporal ordering of clinical and biomarker progression differed by genotype. In prevention-trial simulations employing model-based patient selection, atrophy and NfL were the best endpoints, whereas clinical measures were potential endpoints in early symptomatic trials. F-FTD prevention trials are feasible but will likely require global recruitment efforts. These disease progression models will facilitate the planning of f-FTD clinical trials, including the selection of optimal endpoints and enrollment criteria to maximize power to detect treatment effects.
  • Thumbnail Image
    Item
    Whole-genome sequencing analysis reveals new susceptibility loci and structural variants associated with progressive supranuclear palsy
    (Springer Nature, 2024-08-16) Wang, Hui; Chang, Timothy S.; Dombroski, Beth A.; Cheng, Po-Liang; Patil, Vishakha; Valiente-Banuet, Leopoldo; Farrell, Kurt; Mclean, Catriona; Molina-Porcel, Laura; Rajput, Alex; De Deyn, Peter Paul; Le Bastard, Nathalie; Gearing, Marla; Donker Kaat, Laura; Van Swieten, John C.; Dopper, Elise; Ghetti, Bernardino F.; Newell, Kathy L.; Troakes, Claire; de Yébenes, Justo G.; Rábano-Gutierrez, Alberto; Meller, Tina; Oertel, Wolfgang H.; Respondek, Gesine; Stamelou, Maria; Arzberger, Thomas; Roeber, Sigrun; Müller, Ulrich; Hopfner, Franziska; Pastor, Pau; Brice, Alexis; Durr, Alexandra; Le Ber, Isabelle; Beach, Thomas G.; Serrano, Geidy E.; Hazrati, Lili-Naz; Litvan, Irene; Rademakers, Rosa; Ross, Owen A.; Galasko, Douglas; Boxer, Adam L.; Miller, Bruce L.; Seeley, Willian W.; Van Deerlin, Vivanna M.; Lee, Edward B.; White, Charles L., III; Morris, Huw; de Silva, Rohan; Crary, John F.; Goate, Alison M.; Friedman, Jeffrey S.; Leung, Yuk Yee; Coppola, Giovanni; Naj, Adam C.; Wang, Li-San; P. S. P. genetics study group; Dalgard, Clifton; Dickson, Dennis W.; Höglinger, Günter U.; Schellenberg, Gerard D.; Geschwind, Daniel H.; Lee, Wan-Ping; Pathology and Laboratory Medicine, School of Medicine
    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: 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: 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 × 10-3) in PSP. Conclusions: Through WGS, we significantly enhanced our understanding of the genetic basis of PSP, providing new targets for exploring disease mechanisms and therapeutic interventions.
  • Thumbnail Image
    Item
    Whole-Genome Sequencing Analysis Reveals New Susceptibility Loci and Structural Variants Associated with Progressive Supranuclear Palsy
    (medRxiv, 2024-01-30) Wang, Hui; Chang, Timothy S.; Dombroski, Beth A.; Cheng, Po-Liang; Patil, Vishakha; Valiente-Banuet, Leopoldo; Farrell, Kurt; Mclean, Catriona; Molina-Porcel, Laura; Rajput, Alex; De Deyn, Peter Paul; Le Bastard, Nathalie; Gearing, Marla; Donker Kaat, Laura; Van Swieten, John C.; Dopper, Elise; Ghetti, Bernardino F.; Newell, Kathy L.; Troakes, Claire; de Yébenes, Justo G.; Rábano-Gutierrez, Alberto; Meller, Tina; Oertel, Wolfgang H.; Respondek, Gesine; Stamelou, Maria; Arzberger, Thomas; Roeber, Sigrun; Müller, Ulrich; Hopfner, Franziska; Pastor, Pau; Brice, Alexis; Durr, Alexandra; Le Ber, Isabelle; Beach, Thomas G.; Serrano, Geidy E.; Hazrati, Lili-Naz; Litvan, Irene; Rademakers, Rosa; Ross, Owen A.; Galasko, Douglas; Boxer, Adam L.; Miller, Bruce L.; Seeley, Willian W.; Van Deerlin, Vivanna M.; Lee, Edward B.; White, Charles L., III; Morris, Huw; de Silva, Rohan; Crary, John F.; Goate, Alison M.; Friedman, Jeffrey S.; Leung, Yuk Yee; Coppola, Giovanni; Naj, Adam C.; Wang, Li-San; PSP genetics study group; Dickson, Dennis W.; Höglinger, Günter U.; Schellenberg, Gerard D.; Geschwind, Daniel H.; Lee, Wan-Ping; Pathology and Laboratory Medicine, School of Medicine
    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: 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: 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 = 6.73×10-3) in PSP. Conclusions: Through WGS, we significantly enhanced our understanding of the genetic basis of PSP, providing new targets for exploring disease mechanisms and therapeutic interventions.