Gene specific effects on brain volume and cognition of TMEM106B in frontotemporal lobar degeneration
Vandebergh, M.; Ramos, E. M.; Corriveau-Lecavalier, N.; Ramanan, V. K.; Kornak, J.; Mester, C.; Kolander, T.; Brushaber, D.; Staffaroni, A. M.; Geschwind, D.; Wolf, A.; Kantarci, K.; Gendron, T. F.; Petrucelli, L.; Van den Broeck, M.; Wynants, S.; Baker, M. C.; Borrego-Ecija, S.; Appleby, B.; Barmada, S.; Bozoki, A.; Clark, D.; Darby, R. R.; Dickerson, B. C.; Domoto-Reilly, K.; Fields, J. A.; Galasko, D. R.; Ghoshal, N.; Graff-Radford, N.; Grant, I. M.; Honig, L. S.; Hsiung, G.-Y. R.; Huey, E. D.; Irwin, D.; Knopman, D. S.; Kwan, J. Y.; Leger, G. C.; Litvan, I.; Masdeu, J. C.; Mendez, M. F.; O
Show abstract
Background and ObjectivesTMEM106B has been proposed as a modifier of disease risk in FTLD-TDP, particularly in GRN mutation carriers. Furthermore, TMEM106B has been investigated as a disease modifier in the context of healthy aging and across multiple neurodegenerative diseases. The objective of this study is to evaluate and compare the effect of TMEM106B on gray matter volume and cognition in each of the common genetic FTD groups and in sporadic FTD patients. MethodsParticipants were enrolled through the ARTFL/LEFFTDS Longitudinal Frontotemporal Lobar Degeneration (ALLFTD) study, which includes symptomatic and presymptomatic individuals with a pathogenic mutation in C9orf72, GRN, MAPT, VCP, TBK1, TARDBP, symptomatic non-mutation carriers, and non-carrier family controls. All participants were genotyped for the TMEM106B rs1990622 SNP. Cross-sectionally, linear mixed-effects models were fitted to assess an association between TMEM106B and genetic group interaction with each outcome measure (gray matter volume and UDS3-EF for cognition), adjusting for education, age, sex and CDR(R)+NACC-FTLD sum of boxes. Subsequently, associations between TMEM106B and each outcome measure were investigated within the genetic group. For longitudinal modeling, linear mixed-effects models with time by TMEM106B predictor interactions were fitted. ResultsThe minor allele of TMEM106B rs1990622, linked to a decreased risk of FTD, associated with greater gray matter volume in GRN mutation carriers under the recessive dosage model. This was most pronounced in the thalamus in the left hemisphere, with a retained association when considering presymptomatic GRN mutation carriers only. The minor allele of TMEM106B rs1990622 also associated with greater cognitive scores among all C9orf72 mutation carriers and in presymptomatic C9orf72 mutation carriers, under the recessive dosage model. DiscussionWe identified associations of TMEM106B with gray matter volume and cognition in the presence of GRN and C9orf72 mutations. This further supports TMEM106B as modifier of TDP-43 pathology. The association of TMEM106B with outcomes of interest in presymptomatic GRN and C9orf72 mutation carriers could additionally reflect TMEM106Bs impact on divergent pathophysiological changes before the appearance of clinical symptoms.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- Susceptibility to postmortem (co)-pathologies in antemortem atrophy-based subtypes of Alzheimer’s disease 94%
- Automated detection of speech timing alterations in autopsy-confirmed non-fluent/agrammatic variant primary progressive aphasia 94%
- Biomarker changes preceding symptom onset in genetic prion disease 94%
Similar papers in this journal
Similar papers in this journal
- Causal associations between potentially modifiable risk factors and the Alzheimer's phenome: A Mendelian randomization study 95%
- Synaptic loss in behavioural variant frontotemporal dementia revealed by [ 11 C]UCB-J PET 94%
- Contribution of genetic and environmental factors to the onset of preclinical Alzheimer's disease - a monozygotic twin study 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.