Evidence map›Paper›PMID 33397809›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2021

Prediction of Alzheimer's disease-specific phospholipase c gamma-1 SNV by deep learning-based approach for high-throughput screening.

Sung-Hyun Kim, Sumin Yang, Key-Hwan Lim, Euiseng Ko, Hyun-Jun Jang, Mingon Kang, Pann-Ghill Suh, Jae-Yeol Joo

Erratum issuedOpen access · hybridAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

13 citing papers in PubMed, 27 citations in OpenAlex.

  1. Review
  2. Article
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  6. Article
  7. Article
  8. Review
  9. Molecular regulation of PLCβ signaling.Methods in enzymology · 2023
    Review
  10. Article
  11. Article
  12. Article
  13. Deep Learning with Neuroimaging and Genomics in Alzheimer's Disease.International journal of molecular sciences · 2021
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 2 countries.

Sung-Hyun KimNeurodegenerative Disease Research Group, 41062 Daegu, Republic of Korea.
Sumin YangNeurodegenerative Disease Research Group, 41062 Daegu, Republic of Korea.
Key-Hwan LimNeurodegenerative Disease Research Group, 41062 Daegu, Republic of Korea.ORCID 0000-0002-3636-379X
Euiseng KoDepartment of Computer Science, University of Nevada, Las Vegas, NV 89154.
Hyun-Jun JangSchool of Life Sciences, Ulsan National Institute of Science and Technology, 44919 Ulsan, Republic of Korea.ORCID 0000-0002-2261-0067
Mingon KangDepartment of Computer Science, University of Nevada, Las Vegas, NV 89154.ORCID 0000-0002-9565-9523
Pann-Ghill SuhKorea Brain Research Institute, 41062 Daegu, Republic of Korea.
Jae-Yeol JooNeurodegenerative Disease Research Group, 41062 Daegu, Republic of Korea; joojy@kbri.re.kr.
Korea Brain Research Institute · KRUniversity of Nevada, Las Vegas · USUlsan National Institute of Science and Technology · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Exon splicing triggered by unpredicted genetic mutation can cause translational variations in neurodegenerative disorders. In this study, we discover Alzheimer's disease (AD)-specific single-nucleotide variants (SNVs) and abnormal exon splicing of phospholipase c gamma-1 (

Indexed as

Deep LearningGenetic Predisposition to DiseaseAlzheimer DiseaseAnimalsComputer SimulationDisease Models, AnimalExonsGenome, HumanGenome-Wide Association StudyHigh-Throughput Screening AssaysHumansMicePhospholipase C gammaPolymorphism, Single NucleotideRNA, MessengerRNA SplicingPhospholipase C gammaPLCG1 protein, humanRNA, MessengerAlzheimer’s diseasedeep learningPLCγ1single-nucleotide variation

Identifiers

PMID33397809
PMCPMC7826347
OpenAlexW3120268526

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.