Cited by 80Amyotrophic Lateral Sclerosis ResearchDementia and Cognitive Impairment ResearchAlzheimer's disease research and treatments

Genetic screening of a large series of North American sporadic and familial frontotemporal dementia cases

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Ramos, Eliana Marisa, Dokuru, Deepika Reddy, Van Berlo, Victoria, Wojta, Kevin, Wang, Qing, Huang, Alden Y., Deverasetty, Sandeep, Qin, Yue +65 more·2020·Alzheimer's & Dementia

Abstract

Introduction: The Advancing Research and Treatment for Frontotemporal Lobar Degeneration (ARTFL) and Longitudinal Evaluation of Familial Frontotemporal Dementia Subjects (LEFFTDS) consortia are two closely connected studies, involving multiple North American centers that evaluate both sporadic and familial frontotemporal dementia (FTD) participants and study longitudinal changes. Methods: We screened the major dementia‐associated genes in 302 sporadic and 390 familial (symptomatic or at‐risk) participants enrolled in these studies. Results: Among the sporadic patients, 16 (5.3%) carried chromosome 9 open reading frame 72 (C9orf72), microtubule‐associated protein tau (MAPT), and progranulin (GRN) pathogenic variants, whereas in the familial series we identified 207 carriers from 146 families. Of interest, one patient was found to carry a homozygous C9orf72 expansion, while another carried both a C9orf72 expansion and a GRN pathogenic variant. We also identified likely pathogenic variants in the TAR DNA binding protein (TARDBP), presenilin 1 (PSEN1), and valosin containing protein (VCP) genes, and a subset of variants of unknown significance in other rare FTD genes. Discussion: Our study reports the genetic characterization of a large FTD series and supports an unbiased sequencing screen, irrespective of clinical presentation or family history.

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  • Unsupervised AI applied to EHRs has characterized dementia heterogeneity by identifying distinct subtypes and progression patterns in AD and PD.

    “Unsupervised AI approaches have also been applied to EHRs to characterize dementia heterogeneity, identifying distinct disease subtypes and progression patterns for patients with Alzheimer’s disease and Parkinson’s disease.126–129”

    From Review of Artificial Intelligence for Clinical Use in Alzheimer's Disease and Related Dementias (2026) · cites this paper as [127]

    The Methods (Screening of the main dementia genes) and Discussion describe genetic screening and characterization of frontotemporal dementia, not unsupervised AI applied to electronic health records. Searches for EHR-based clustering, Alzheimer’s or Parkinson’s subtypes, and progression patterns found no passage addressing the attributed claim; page numbers were not available in our copy. (LLM, conf=0.76)

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References 44 · Cited by 80

Authors
Ramos, E. M., Dokuru, D. R., Van Berlo, V., Wojta, K., Wang, Q., Huang, A. Y., Deverasetty, S., Qin, Y., van Blitterswijk, M., Jackson, J., Appleby, B., Bordelon, Y., Brannelly, P., Brushaber, D. E., Dickerson, B., Dickinson, S., Domoto‐Reilly, K., Faber, K., Fields, J., Fong, J., Foroud, T., Forsberg, L. K., Gavrilova, R., Ghoshal, N., Goldman, J., Graff‐Radford, J., Graff‐Radford, N., Grant, I., Grossman, M., Heuer, H. W., Hsiung, G. R., Huey, E., Irwin, D., Kantarci, K., Karydas, A., Kaufer, D., Kerwin, D., Knopman, D., Kornak, J., Kramer, J. H., Kremers, W., Kukull, W., Litvan, I., Ljubenkov, P., Lungu, C., Mackenzie, I., Mendez, M. F., Miller, B. L., Onyike, C., Pantelyat, A., Pearlman, R., Petrucelli, L., Potter, M., Rankin, K. P., Rascovsky, K., Roberson, E. D., Rogalski, E., Shaw, L., Syrjanen, J., Tartaglia, M. C., Tatton, N., Taylor, J., Toga, A., Trojanowski, J. Q., Weintraub, S., Wong, B., Wszolek, Z., Rademakers, R., Boeve, B. F., Rosen, H. J., Boxer, A. L., on behalf of the ARTFL/LEFFTDS consortium, & Coppola, G.
Affiliations
  • University of California, Los Angeles (US)
  • Department of Psychiatry David Geffen School of Medicine University of California Los Angeles Los Angeles California
  • Mayo Clinic Jacksonville Florida
  • Mayo Clinic in Florida (US)
  • Case Western Reserve University (US)
  • Rainwater Charitable Foundation (US)
  • Mayo Clinic (US)
  • Harvard University (US)
  • Association for Frontotemporal Degeneration (US)
  • University of Washington (US)
  • Indiana University Indianapolis (US)
  • University of California, San Francisco (US)
  • Washington University in St. Louis (US)
  • Columbia University (US)
  • Northwestern University (US)
  • University of Pennsylvania (US)
  • University of British Columbia (CA)
  • University of North Carolina at Chapel Hill (US)
  • The University of Texas Southwestern Medical Center (US)
  • University of California San Diego (US)
  • National Institute of Neurological Disorders and Stroke (US)
  • Johns Hopkins University (US)
  • Bluefield Project San Francisco California
  • University of Alabama at Birmingham (US)
  • University of Toronto (CA)
  • University of Southern California (US)
  • Northwestern University Chicago Illinois
  • Mayo Clinic Rochester Minnesota
Corresponding author
Coppola, Giovanni
Venue
Alzheimer's & Dementia
Publisher
Wiley
Published
2020-01
Volume
16
Issue
1
Pages
118-130
ISSN
  • 1552-5260 (ISSN-L)
  • 1552-5279
OpenAlex
W2998953092
Cited by
80
References
44
Citations by year
2026: 12 · 2025: 11 · 2024: 11 · 2023: 9 · 2022: 16 · 2021: 12 · 2020: 9
FWCI
4.98
Type
journal article
Language
en
Open access
Locations
  • Alzheimer s & Dementia (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
  • eScholarship (California Digital Library) (submittedVersion)
Funders
  • Frontotemporal Lobar Degeneration Clinical Research Consortium (U54 NS092089)
  • Longitudinal Evaluation of Familial Frontotemporal Dementia Subjects (U01 AG045390, R35 NS097261, P01 NS084974, R21 NS099631, U01 AG016976)
Topics
  • Health Sciences › Medicine › Neurology › Amyotrophic Lateral Sclerosis Research
  • Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
  • Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
Keywords
frontotemporal dementia, genetic screening
MeSH terms
C9orf72 Protein, Progranulins, Female, Genetic Testing, Humans, Male, Middle Aged, tau Proteins, Genetic Predisposition to Disease, Frontotemporal Dementia

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