Evidence map›Paper›PMID 37311212›Full record

ArticleG3 (Bethesda, Md.)2023

Using Drosophila to identify naturally occurring genetic modifiers of amyloid beta 42- and tau-induced toxicity.

Ming Yang, Matthew Zinkgraf, Cecilia Fitzgerald-Cook, Benjamin R Harrison, Alexandra Putzier, Daniel E L Promislow, Adrienne M Wang

Open access · goldAbstract read
In one paragraph

Article in G3 (Bethesda, Md.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.1field-weighted citation impact, top 13% of its field
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

6 citing papers in PubMed, 12 citations in OpenAlex.

  1. A recombinantbioRxiv : the preprint server for biology · 2026
    Article
  2. Article
  3. Review
  4. Article
  5. Insects · 2024
    Review
  6. Natural variation in age-related dopamine neuron degeneration is glutathione dependent and linked to life span.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Ming YangDepartment of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, WA 98195, USA.
Matthew ZinkgrafDepartment of Biology, Western Washington University, Bellingham, WA 98225, USA.
Cecilia Fitzgerald-CookDepartment of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, WA 98195, USA.
Benjamin R HarrisonDepartment of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, WA 98195, USA.
Alexandra PutzierDepartment of Biology, Western Washington University, Bellingham, WA 98225, USA.
Daniel E L PromislowDepartment of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, WA 98195, USA.
Adrienne M WangDepartment of Biology, Western Washington University, Bellingham, WA 98225, USA.
University of Washington · USWestern Washington University · US

Funding

A systems biology approach in Drosophila to identify novel factors that influence AD pathogenicityRF1AG057330 · NIA · UNIVERSITY OF WASHINGTON · PI PROMISLOW, DANIEL EDWARD · 2017 to 2017
$3.4M
Conserved Mechanisms of Aging in Alzheimer DiseaseR21AG056872 · NIA · UNIVERSITY OF WASHINGTON · PI PROMISLOW, DANIEL EDWARD · 2017 to 2018
$426k
NIA NIH HHS R21 AG056872NIA NIH HHS RF1 AG057330
6 · The paper itself

Abstract

Alzheimer's disease is characterized by 2 pathological proteins, amyloid beta 42 and tau. The majority of Alzheimer's disease cases in the population are sporadic and late-onset Alzheimer's disease, which exhibits high levels of heritability. While several genetic risk factors for late-onset Alzheimer's disease have been identified and replicated in independent studies, including the ApoE ε4 allele, the great majority of the heritability of late-onset Alzheimer's disease remains unexplained, likely due to the aggregate effects of a very large number of genes with small effect size, as well as to biases in sample collection and statistical approaches. Here, we present an unbiased forward genetic screen in Drosophila looking for naturally occurring modifiers of amyloid beta 42- and tau-induced ommatidial degeneration. Our results identify 14 significant SNPs, which map to 12 potential genes in 8 unique genomic regions. Our hits that are significant after genome-wide correction identify genes involved in neuronal development, signal transduction, and organismal development. Looking more broadly at suggestive hits (P < 10-5), we see significant enrichment in genes associated with neurogenesis, development, and growth as well as significant enrichment in genes whose orthologs have been identified as significantly or suggestively associated with Alzheimer's disease in human GWAS studies. These latter genes include ones whose orthologs are in close proximity to regions in the human genome that are associated with Alzheimer's disease, but where a causal gene has not been identified. Together, our results illustrate the potential for complementary and convergent evidence provided through multitrait GWAS in Drosophila to supplement and inform human studies, helping to identify the remaining heritability and novel modifiers of complex diseases.

Indexed as

Alzheimer DiseaseAmyloid beta-PeptidesAnimalsDrosophilaHumansPeptide Fragmentstau ProteinsAmyloid beta-Peptidesamyloid beta-protein (1-42)Peptide Fragmentstau ProteinsAlzheimer's diseaseDGRPDrosophilagenome-wide associationmultiple traitsneurodegeneration

Identifiers

PMID37311212
PMCPMC10468303
OpenAlexW4380576937

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.