Evidence map›Paper›PMID 37503230›Full record

ArticlebioRxiv : the preprint server for biology2023

Iris J Broce, Daniel W Sirkis, Ryan M Nillo, Luke W Bonham, Suzee E Lee, Bruce Miller, Patricia Castruita, Virginia E Sturm, Leo S Sugrue, Rahul S Desikan and 1 more

Open access · greenAbstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

  • Updated by
    2024
5 · Who and what money

Authors and funding

11 authors at 1 institution in 2 countries.

Iris J BroceMemory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States.
Daniel W SirkisMemory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States.
Ryan M NilloDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States.
Luke W BonhamMemory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States.
Suzee E LeeMemory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States.
Bruce MillerMemory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States.
Patricia CastruitaMemory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States.
Virginia E SturmMemory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States.
Leo S SugrueDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States.
Rahul S DesikanDepartment of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, United States.
Jennifer S YokoyamaMemory and Aging Center, Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, United States.
University of California, San Francisco · US

Funding

TDP-43 Loss-of-Function: Biology to BiomarkersP01AG019724 · NIA · UNIVERSITY OF PENNSYLVANIA · PI Jennifer Merrilees · 2002 to 2026
$67.2M
Research Education ComponentP30AG062422 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Gil Dan Rabinovici · 2019 to 2026
$36.9M
Emotion network dysfunction and decline in early frontotemporal dementiaR01AG052496 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Virginia Emily Sturm · 2017 to 2026
$6.9M
Elucidating clinical heterogeneity in early-onset AD via genomics, transcriptomics, and neuroimagingR01AG062588 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI YOKOYAMA, JENNIFER S · 2019 to 2023
$4.0M
Defining trajectories of dynamic biomarkers for C9ORF72 repeat expansion carriersR01AG058233 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LEE, SUZEE EURIE · 2018 to 2022
$3.2M
UCSD Leading the Advancement of Underrepresented Neuroscientists for Change (LAUNCH) Faculty Development ProgramR25NS117367 · NINDS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Victoria B Risbrough, Joann Trejo · 2020 to 2026
$1.6M
Improving the Health of Aging Women and Men.T32AG058529 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI LACROIX, ANDREA Z. · 2019 to 2023
$1.2M
Novel imaging genetic biomarkers for sporadic frontotemporal dementia through machine learningK01AG070376 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BROCE-DIAZ, IRIS J · 2021 to 2025
$528k
NIA NIH HHS K01 AG070376NIA NIH HHS P01 AG019724NIA NIH HHS P30 AG062422NIA NIH HHS R01 AG052496NIA NIH HHS R01 AG058233NIA NIH HHS R01 AG062588NIA NIH HHS T32 AG058529NINDS NIH HHS R25 NS117367
6 · The paper itself

Abstract

Introduction: A hexanucleotide repeat expansion (HRE) intronic to chromosome 9 open reading frame 72 ( Methods: We leveraged mRNA expression data in healthy brain from the Allen Human Brain Atlas to evaluate Results: A total of 1,748 genes showed an anatomical distribution of gene expression in the brain similar to Conclusions: Considered together, we identified a network of

Indexed as

amyotrophic lateral sclerosisC9orf72frontotemporal dementiagene networksneurodegeneration

Identifiers

PMID37503230
PMCPMC10370095
OpenAlexW4384826393

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.