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Record W4394800621 · doi:10.1016/s1474-4422(24)00083-8

MAPT H2 haplotype and risk of Pick's disease in the Pick's disease International Consortium: a genetic association study

2024· article· en· W4394800621 on OpenAlexafffund
Rebecca R. Valentino, William J. Scotton, Shanu F. Roemer, Tammaryn Lashley, Michael G. Heckman, Maryam Shoai, Alejandro Martínez-Carrasco, Nicole Tamvaka, Ronald L. Walton, Matthew Baker, Hannah Macpherson, Raquel Real, Alexandra I. Soto‐Beasley, Kin Y. Mok, Tamás Révész, Elizabeth Christopher, Michael DeTure, William W. Seeley, Edward B. Lee, Matthew P. Frosch, Laura Molina‐Porcel, Tamar Gefen, Javier Redding‐Ochoa, Bernardino Ghetti, Andrew Robinson, Christopher Kobylecki, James B. Rowe, Thomas G. Beach, Andrew F. Teich, Julia Keith, István Bódi, Glenda M. Halliday, Marla Gearing, Thomas Arzberger, Christopher M. Morris, Charles L. White, Naguib Mechawar, Susana Boluda, Ian R. Mackenzie, Catriona McLean, Matthew D. Cykowski, Shih‐Hsiu J. Wang, Caroline Graff, Rashed M. Nagra, Gábor G. Kovács, Giorgio Giaccone, Manuela Neumann, Lee-Cyn Ang, Agostinho Carvalho, Huw R. Morris, Rosa Rademakers, John Hardy, Dennis W. Dickson, Jonathan D. Rohrer, Owen A. Ross, Thomas T. Warner, Zane Jaunmuktane, Bradley F. Boeve, Ranjan Duara, Neill R. Graff‐Radford, Keith A. Josephs, David S. Knopman, Shunsuke Koga, Melissa E. Murray, Kelly E. Lyons, Rajesh Pahwa, Ronald Petersen, Jennifer Whitwell, Lea T. Grinberg, Bruce L. Miller, Athena Schlereth, Salvatore Spina, Murray Grossman, David J. Irwin, EunRan Suh, John Q. Trojanowski, Vivianna M. Van Deerlin, David A. Wolk, Theresa R. Connors, Patrick M. Dooley, Derek H. Oakley, Ibán Aldecoa, Mircea Balasa, Ellen Gelpí, Sergi Borrego‐Écija, Jordi Gascón‐Bayarri, Raquel Sánchez‐Valle, Pilar Sanz-Cartagena, Gerard Piñol‐Ripoll, Eileen H. Bigio, Margaret E. Flanagan, Emily Rogalskı, Sandra Weıntraub, Julie A. Schneider, Lihua Peng, Xiongwei Zhu, Koping Chang, Juan C. Troncoso, Stefan Prokop, Kathy L. Newell, Matthew S. Jones, Anna Richardson, Federico Roncaroli, Julie S. Snowden, Kieren Allinson, Poonam Singh, Geidy E. Serrano, Xena Flowers, James E. Goldman, Allison C Heaps, Sandra Leskinen, Sandra E. Black, Mario Masellis, Andrew King, Safa Al‐Sarraj, Claire Troakes, John R. Hodges, Jillian J. Kril, John B. Kwok, Olivier Piguet, Sigrun Roeber, Johannes Attems, Alan Thomas, Bret M. Evers, Kevin F. Bieniek, Anne Sieben, Patrick Cras, Bart B De Vil, Thomas D. Bird, Rudolph J. Castellani, Ann Chaffee, Erin Franklin, Vahram Haroutunian, Max Jacobsen, Dirk Keene, Caitlin S. Latimer, Jeff Metcalf, Richard J. Perrin, Dushyant P. Purohit, Robert A. Rissman, Aimee Schantz, Jamie M. Walker, Peter Paul De Deyn, Charles Duyckaerts, Isabelle Le Ber, Danielle Seilhean, Sabrina Turbant-Leclere, John F. Ervin, Inger Nennesmo, James R. Riehl, Benedetta Nacmias, Elizabeth Finger, Cornelis Blauwendraat, Mike A. Nalls, Andrew Singleton, Dan Vitale, Cristina Cunha, Zbigniew K. Wszołek

Bibliographic record

VenueThe Lancet Neurology · 2024
Typearticle
Languageen
FieldMedicine
TopicAlzheimer's disease research and treatments
Canadian institutionsLondon Health Sciences CentreUniversity of TorontoWestern UniversityOntario Brain InstituteUniversity of British ColumbiaMcGill UniversityToronto Rehabilitation InstituteDouglas Mental Health University InstituteOccupational Cancer Research CentreHealth Sciences CentreUniversity Health NetworkSunnybrook Health Science Centre
FundersState of FloridaNational Institute on Deafness and Other Communication DisordersNational Institute on AgingFaculty of Medicine and Health, University of SydneyNederlands HerseninstituutNIHR Oxford Biomedical Research CentreSchulich School of Medicine and DentistryNational Health and Medical Research CouncilMedical Research CouncilAlzheimer's Disease Research Center, University of PittsburghNIHR Cambridge Biomedical Research CentreTau ConsortiumDirectorate for Biological SciencesRossy FoundationDrake FoundationSchulich School of Medicine and Dentistry, Western UniversityNational Institutes of HealthNationale Genossenschaft für die Lagerung radioaktiver AbfälleGoizueta Business School, Emory UniversityInstitute of Psychiatry, Psychology and Neuroscience, King’s College LondonVictorian Brain BankUK Dementia Research InstituteYulgilbar FoundationIrving Medical Center, Columbia UniversityCentre hospitalier universitaire Sainte-JustineSorbonne UniversitéUniversiteit AntwerpenCentre Hospitalier Universitaire de RennesCentre Hospitalier Régional Universitaire de MontpellierNational Institute of Neurological Disorders and StrokeArizona Biomedical Research CommissionDeutsches Zentrum für Neurodegenerative ErkrankungenMemphis Research ConsortiumBanco Bilbao Vizcaya ArgentariaChung Hua UniversityFondazione I.R.C.C.S. Istituto Neurologico Carlo BestaUniversità degli Studi di FirenzeKarolinska InstitutetUniversity of California, San FranciscoU.S. Department of Health and Human ServicesMayo ClinicUniversiteit GentNewcastle upon Tyne Hospitals NHS Foundation TrustAligning Science Across Parkinson’sUniversity of TorontoCurePSPEdmond J. Safra Philanthropic FoundationNew York State Department of HealthNewcastle UniversityFonds de Recherche du Québec - SantéSchool of Medicine, Emory UniversityUniversitair Ziekenhuis GentKing's College LondonUniversity of CambridgeParkinson's UKDepartment of Health and Social CareAlzheimer SocietyNational Institute for Health and Care ResearchNederlandse HersenbankNIHR Newcastle Biomedical Research CentreEvelyn TrustAlzheimer’s Research UKLewy Body Dementia AssociationCanadian Institutes of Health ResearchAlzheimer's SocietyFightMNDPSP AssociationMayo Foundation for Medical Education and ResearchNorthwestern UniversitySunnybrook Research InstituteWellcome TrustKlinisch Chemisch LaboratoriumArizona Department of Health ServicesKing's College Hospital NHS Foundation TrustRainwater Charitable FoundationFondation Brain CanadaLondon Health Sciences CentreMcGill UniversityDemensförbundetParkinson’s VictoriaMichael J. Fox Foundation for Parkinson's ResearchEmory UniversityCambridge University HospitalsPCB SolutionsUniversity of PennsylvaniaCanada First Research Excellence FundLittle Family FoundationNational Institute on Handicapped ResearchFundación BBVAUniversidade do MinhoBrain Research UKU.S. Department of Defense
KeywordsProgressive supranuclear palsyCorticobasal degenerationHaplotypeTauopathyTau proteinFrontotemporal dementiaDiseaseMedicineDementiaPick's diseaseGeneticsAlzheimer's diseasePathologyBiologyGenotypeNeurodegenerationGene

Abstract

fetched live from OpenAlex

BACKGROUND: Pick's disease is a rare and predominantly sporadic form of frontotemporal dementia that is classified as a primary tauopathy. Pick's disease is pathologically defined by the presence in the frontal and temporal lobes of Pick bodies, composed of hyperphosphorylated, three-repeat tau protein, encoded by the MAPT gene. MAPT has two distinct haplotypes, H1 and H2; the MAPT H1 haplotype is the major genetic risk factor for four-repeat tauopathies (eg, progressive supranuclear palsy and corticobasal degeneration), and the MAPT H2 haplotype is protective for these disorders. The primary aim of this study was to evaluate the association of MAPT H2 with Pick's disease risk, age at onset, and disease duration. METHODS: In this genetic association study, we used data from the Pick's disease International Consortium, which we established to enable collection of data from individuals with pathologically confirmed Pick's disease worldwide. For this analysis, we collected brain samples from individuals with pathologically confirmed Pick's disease from 35 sites (brainbanks and hospitals) in North America, Europe, and Australia between Jan 1, 2020, and Jan 31, 2023. Neurologically healthy controls were recruited from the Mayo Clinic (FL, USA, or MN, USA between March 1, 1998, and Sept 1, 2019). For the primary analysis, individuals were directly genotyped for the MAPT H1-H2 haplotype-defining variant rs8070723. In a secondary analysis, we genotyped and constructed the six-variant-defined (rs1467967-rs242557-rs3785883-rs2471738-rs8070723-rs7521) MAPT H1 subhaplotypes. Associations of MAPT variants and MAPT haplotypes with Pick's disease risk, age at onset, and disease duration were examined using logistic and linear regression models; odds ratios (ORs) and β coefficients were estimated and correspond to each additional minor allele or each additional copy of the given haplotype. FINDINGS: We obtained brain samples from 338 people with pathologically confirmed Pick's disease (205 [61%] male and 133 [39%] female; 338 [100%] White) and 1312 neurologically healthy controls (611 [47%] male and 701 [53%] female; 1312 [100%] White). The MAPT H2 haplotype was associated with increased risk of Pick's disease compared with the H1 haplotype (OR 1·35 [95% CI 1·12 to 1·64], p=0·0021). MAPT H2 was not associated with age at onset (β -0·54 [95% CI -1·94 to 0·87], p=0·45) or disease duration (β 0·05 [-0·06 to 0·16], p=0·35). Although not significant after correcting for multiple testing, associations were observed at p less than 0·05: with risk of Pick's disease for the H1f subhaplotype (OR 0·11 [0·01 to 0·99], p=0·049); with age at onset for H1b (β 2·66 [0·63 to 4·70], p=0·011), H1i (β -3·66 [-6·83 to -0·48], p=0·025), and H1u (β -5·25 [-10·42 to -0·07], p=0·048); and with disease duration for H1x (β -0·57 [-1·07 to -0·07], p=0·026). INTERPRETATION: The Pick's disease International Consortium provides an opportunity to do large studies to enhance our understanding of the pathobiology of Pick's disease. This study shows that, in contrast to the decreased risk of four-repeat tauopathies, the MAPT H2 haplotype is associated with an increased risk of Pick's disease in people of European ancestry. This finding could inform development of isoform-related therapeutics for tauopathies. FUNDING: Wellcome Trust, Rotha Abraham Trust, Brain Research UK, the Dolby Fund, Dementia Research Institute (Medical Research Council), US National Institutes of Health, and the Mayo Clinic Foundation.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.230

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.027
GPT teacher head0.325
Teacher spread0.298 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations23
Published2024
Admission routes2
Has abstractyes

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