MétaCan
Menu
Back to cohort
Record W2802484183 · doi:10.1016/s1474-4422(18)30126-1

Potential genetic modifiers of disease risk and age at onset in patients with frontotemporal lobar degeneration and GRN mutations: a genome-wide association study

2018· article· en· W2802484183 on OpenAlexafffundabout
Cyril Pottier, Xiaolai Zhou, Ralph B. Perkerson, Matt Baker, Gregory D. Jenkins, Daniel Serie, Roberta Ghidoni, Luisa Benussi, Giuliano Binetti, Miren Zulaica, Fermín Moreno, Isabelle Le Ber, Florence Pasquier, Didier Hannequin, Raquel Sánchez‐Valle, Anna Antonell, Albert Lladó, Tammee M. Parsons, NiCole A. Finch, Elizabeth Finger, Carol F. Lippa, Edward D. Huey, Manuela Neumann, Peter Heutink, Matthis Synofzik, Carlo Wilke, Robert A. Rissman, Jarosław Sławek, Emilia J. Sitek, Peter Johannsen, Jørgen E. Nielsen, Yingxue Ren, Marka van Blitterswijk, Mariely DeJesus‐Hernandez, Elizabeth Christopher, Melissa E. Murray, Kevin F. Bieniek, Bret M. Evers, Camilla Ferrari, Sara Rollinson, Anna Richardson, Elio Scarpini, Giorgio Fumagalli, Alessandro Padovani, John Hardy, Parastoo Momeni, Raffaele Ferrari, Francesca Frangipane, Raffaele Maletta, Maria Anfossi, Maura Gallo, Leonard Petrucelli, EunRan Suh, Tsz Hang Wong, Jeroen van Rooij, Harro Seelaar, Simon Mead, Richard J. Caselli, Eric M. Reiman, Marwan N. Sabbagh, Mads Kjølby, Anders Nykjær, Anna M. Karydas, Adam L. Boxer, Lea T. Grinberg, Jordan Grafman, Salvatore Spina, Adrian L. Oblak, M-Marsel Mesulam, Sandra Weıntraub, Changiz Geula, John R. Hodges, Olivier Piguet, William S. Brooks, David J. Irwin, John Q. Trojanowski, Edward B. Lee, Keith A. Josephs, Joseph E. Parisi, Nilüfer Ertekin‐Taner, David S. Knopman, Benedetta Nacmias, Irene Piaceri, Silvia Bagnoli, Sandro Sorbi, Marla Gearing, Jonathan D. Glass, Thomas G. Beach, Sandra E. Black, Mario Masellis, Ekaterina Rogaeva, Jean‐Paul Vonsattel, Lawrence S. Honig, Julia Kofler, Amalia C. Bruni, Julie S. Snowden, David Mann, Stuart Pickering‐Brown, Janine Diehl‐Schmid, Juliane Winkelmann, Daniela Galimberti, Caroline Graff, Linn Öijerstedt, Claire Troakes, Safa Al‐Sarraj, Carlos Cruchaga, Nigel J. Cairns, Jonathan D. Rohrer, Glenda M. Halliday, John B. Kwok, John C. van Swieten, Charles L. White, Bernardino Ghetti, Jill R. Murell, Ian R. Mackenzie, Ging‐Yuek Robin Hsiung, Barbara Borroni, Giacomina Rossi, Fabrizio Tagliavini, Zbigniew K. Wszołek, Ronald C. Petersen, Eileen H. Bigio, Murray Grossman, Vivianna M. Van Deerlin, William W. Seeley, Bruce L. Miller, Neill R. Graff‐Radford, Bradley F. Boeve, Dennis W. Dickson, Joanna M. Biernacka, Rosa Rademakers

Bibliographic record

VenueThe Lancet Neurology · 2018
Typearticle
Languageen
FieldMedicine
TopicAmyotrophic Lateral Sclerosis Research
Canadian institutionsUniversity of British ColumbiaHealth Sciences CentreOccupational Cancer Research CentreUniversity of TorontoSunnybrook Health Science CentreWestern University
FundersNational Institute on Deafness and Other Communication DisordersNational Institute on AgingUCLH Biomedical Research CentreSchool of Public Health, University of California BerkeleyCancer Institute, University of PittsburghNational Institutes of HealthNational Institute of Neurological Disorders and StrokeArizona Biomedical Research CommissionAssociazione Italiana Ricerca AlzheimerFondazione Cassa di Risparmio di FirenzeAlzheimer NederlandNational Health and Medical Research CouncilHelmholtz AssociationTau ConsortiumStiftung Synapsis - Alzheimer Forschung Schweiz AFSVetenskapsrådetKarolinska InstitutetHjärnfondenElse Kröner-Fresenius-StiftungGdański Uniwersytet MedycznyEli Lilly and CompanyTexas Tech UniversityEnte Cassa di Risparmio di FirenzeRoyal College of PhysiciansAlzheimer’s Research UKWolfson FoundationBiogenFondazione TelethonAgence Nationale de la RechercheBrain Research TrustNational Institute for Health and Care ResearchNovo Nordisk FondenHelmholtz-GemeinschaftFORUM PharmaceuticalsCentre of Excellence in Cognition and its Disorders, Australian Research CouncilMinistero della SaluteCanadian Institutes of Health ResearchAlzheimer's SocietyPfizerEU Joint Programme – Neurodegenerative Disease ResearchStiftelsen för Gamla TjänarinnorBundesministerium für Bildung und ForschungArizona Department of Health ServicesDenali TherapeuticsGHR FoundationAbbVieMedical Research CouncilSwedish Brain PowerFundació la Marató de TV3NOMIS StiftungSun Health FoundationWellcomeSanofiWellcome TrustDeutsche ForschungsgemeinschaftStockholms Läns LandstingUniversity of PittsburghRocheTauRx PharmaceuticalsMayo ClinicMerckMcCune FoundationBristol-Myers SquibbGun och Bertil Stohnes StiftelseGrifolsLundbeckfondenGenentechCampbell FoundationU.S. Department of Veterans AffairsConsortium canadien en neurodégénérescence associée au vieillissementNovartisCelgeneLittle Family FoundationMichael J. Fox Foundation for Parkinson's Research
KeywordsFrontotemporal lobar degenerationDiseaseGenome-wide association studyGenetic associationMedicineGeneticsFrontotemporal dementiaAssociation (psychology)OncologyBiologySingle-nucleotide polymorphismGeneInternal medicinePsychologyGenotypeDementia

Abstract

fetched live from OpenAlex

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.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.004
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.014
GPT teacher head0.252
Teacher spread0.238 · 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 source (direct Gemma or distilled Codex), 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

Citations129
Published2018
Admission routes3
Has abstractyes

Explore more

Same venueThe Lancet NeurologySame topicAmyotrophic Lateral Sclerosis ResearchFrench-language works237,207