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Record W4366815484 · doi:10.1101/2023.04.17.23288471

Creating the Pick’s disease International Consortium: Association study of <i>MAPT</i> H2 haplotype with risk of Pick’s disease

2023· preprint· en· W4366815484 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, Thomas T. Warner, Zane Jaunmuktane, Bradley F. Boeve, Elizabeth Christopher, Michael DeTure, Ranjan Duara, Neill R. Graff‐Radford, Keith A. Josephs, David S. Knopman, Shunsuke Koga, Melissa E. Murray, Kelly E. Lyons, Rajesh Pahwa, Joseph E. Parisi, Ronald C. Petersen, Jennifer L. Whitwell, Lea T. Grinberg, Bruce L. Miller, Athena Schlereth, William W. Seeley, Salvatore Spina, Murray Grossman, David J. Irwin, Edward B. Lee, EunRan Suh, John Q. Trojanowski, Vivianna M. Van Deerlin, David A. Wolk, Theresa R. Connors, Patrick M. Dooley, Matthew P. Frosch, Derek H. Oakley, Ibán Aldecoa, Mircea Balasa, Ellen Gelpí, Sergi Borrego‐Écija, Rosa Maria de Eugenio Huélamo, Jordi Gascón‐Bayarri, Raquel Sánchez‐Valle, Pilar Sanz-Cartagena, Gerard Piñol‐Ripoll, Laura Molina‐Porcel, Eileen H. Bigio, Margaret E. Flanagan, Tamar Gefen, Emily Rogalskı, Sandra Weıntraub, Javier Redding‐Ochoa, Koping Chang, Juan C. Troncoso, Stefan Prokop, Kathy L. Newell, Bernardino Ghetti, Matthew Jones, Anna Richardson, Andrew Robinson, Federico Roncaroli, Julie S. Snowden, Kieren Allinson, Oliver Green, James B. Rowe, Poonam Singh, Thomas G. Beach, Geidy E. Serrano, Xena Flowers, James E. Goldman, Allison C Heaps, Sandra Leskinen, Andrew F. Teich, Sandra E. Black, Julia Keith, Mario Masellis, István Bódi, Andrew King, Safa-Al Sarraj, Claire Troakes, Glenda M. Halliday, John R. Hodges, Jillian J. Kril, John B. Kwok, Olivier Piguet, Marla Gearing, Thomas Arzberger, Sigrun Roeber, Johannes Attems, Christopher M. Morris, Alan Thomas, Bret M. Evers, Charles L. White, Naguib Mechawar, Anne Sieben, Patrick Cras, Bart B De Vil, Peter Paul P.P. De Deyn, Charles Duyckaerts, Isabelle Le Ber, Danielle Seihean, Sabrina Turbant-Leclere, Ian R. Mackenzie, Catriona McLean, Matthew D. Cykowski, John F. Ervin, Shih‐Hsiu J. Wang, Caroline Graff, Inger Nennesmo, Rashed M. Nagra, James R. Riehl, Gábor G. Kovács, Giorgio Giaccone, Benedetta Nacmias, Manuela Neumann, Lee-Cyn Ang, Elizabeth Finger, Cornelis Blauwendraat, Mike A. Nalls, Andrew Singleton, Dan Vitale, Cristina Cunha, Agostinho Carvalho, Zbigniew K. Wszołek, Huw R. Morris, Rosa Rademakers, John Hardy, Dennis W. Dickson, Jonathan D. Rohrer, Owen A. Ross

Bibliographic record

VenuemedRxiv · 2023
Typepreprint
Languageen
FieldMedicine
TopicNeurogenetic and Muscular Disorders Research
Canadian institutionsLondon Health Sciences CentreWestern UniversityOntario Brain InstituteUniversity of TorontoUniversity Health NetworkUniversity of British ColumbiaDouglas Mental Health University InstituteDouglas CollegeOccupational Cancer Research CentreHealth Sciences CentreSunnybrook Health Science Centre
FundersNIHR Cambridge Biomedical Research CentreNIHR Newcastle Biomedical Research CentreMedical Research CouncilRossy FoundationSorbonne UniversitéCanada First Research Excellence FundEvelyn TrustCanadian Institutes of Health ResearchEdmond J. Safra Philanthropic FoundationUniversity of PennsylvaniaNewcastle UniversityMcGill UniversityDepartment of Health and Social CareNational Institute for Health and Care ResearchAlzheimer SocietyNIHR Oxford Biomedical Research CentreWellcome TrustAlzheimer's SocietyBrain Research UKParkinson's UKFondation Brain Canada
KeywordsDiseaseHaplotypeAssociation (psychology)MedicinePsychologyGeneticsAlleleInternal medicineBiologyGene

Abstract

fetched live from OpenAlex

Abstract 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. Funding See funding section

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)0.001
metaresearch head score (Gemma)0.002
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 score0.002
Threshold uncertainty score0.690

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
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 science0.0000.001
Research integrity0.0000.001
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 head0.032
GPT teacher head0.313
Teacher spread0.281 · 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".

Quick stats

Citations2
Published2023
Admission routes2
Has abstractyes

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