Evidence map›Paper›PMID 33741983›Full record

ArticleNPJ systems biology and applications2021

ADAS-viewer: web-based application for integrative analysis of multi-omics data in Alzheimer's disease.

Seonggyun Han, Jaehang Shin, Hyeim Jung, Jane Ryu, Habtamu Minassie, Kwangsik Nho, Insong Koh, Younghee Lee

Abstract read
In one paragraph

Article in NPJ systems biology and applications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
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

8 authors.

Seonggyun HanDepartment of Biomedical Informatics, University of Utah School of Medicine, Salt Lake City, UT, USA.
Jaehang ShinDepartment of Biomedical Informatics, University of Utah Asia campus, Incheon, South Korea.
Hyeim JungDepartment of Biomedical Informatics, University of Utah School of Medicine, Salt Lake City, UT, USA.ORCID 0000-0003-1083-2882
Jane RyuDepartment of Biomedical Informatics, University of Utah School of Medicine, Salt Lake City, UT, USA.
Habtamu MinassieDepartment of Biomedical Informatics, University of Utah Asia campus, Incheon, South Korea.
Kwangsik NhoCenter for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN, USA.
Insong KohDepartment of Physiology, Hanyang University, Seoul, South Korea.ORCID 0000-0001-6896-9748
Younghee LeeDepartment of Biomedical Informatics, University of Utah School of Medicine, Salt Lake City, UT, USA. younghee.lee@utah.edu.ORCID 0000-0002-6850-0082

Funding

Integrating Neuroimaging, Multi-omics, and Clinical Data in Complex DiseaseR01LM012535 · NLM · INDIANA UNIVERSITY INDIANAPOLIS · PI NHO, KWANGSIK TIMOTHY · 2017 to 2021
$1.7M
Integrative analysis of alternative splicing in Alzheimer's diseaseR03AG063250 · NIA · UNIVERSITY OF UTAH · PI LEE, YOUNGHEE · 2019 to 2020
$323k
Neurogenesis in Adult Brain: Gene Networks and Alzheimer’s DiseaseR03AG054936 · NIA · INDIANA UNIVERSITY INDIANAPOLIS · PI NHO, KWANGSIK TIMOTHY · 2017 to 2018
$145k
NIA NIH HHS R03 AG054936NIA NIH HHS R03 AG063250NLM NIH HHS R01 LM012535
6 · The paper itself

Abstract

Alzheimer's disease (AD) is a neurodegenerative disorder and is represented by complicated biological mechanisms and complexity of brain tissue. Our understanding of the complicated molecular architecture that contributes to AD progression benefits from performing comprehensive and systemic investigations with multi-layered molecular and biological data from different brain regions. Since recently different independent studies generated various omics data in different brain regions of AD patients, multi-omics data integration can be a useful resource for better comprehensive understanding of AD. Here we present a web platform, ADAS-viewer, that provides researchers with the ability to comprehensively investigate and visualize multi-omics data from multiple brain regions of AD patients. ADAS-viewer offers means to identify functional changes in transcript and exon expression (i.e., alternative splicing) along with associated genetic or epigenetic regulatory effects. Specifically, it integrates genomic, transcriptomic, methylation, and miRNA data collected from seven different brain regions (cerebellum, temporal cortex, dorsolateral prefrontal cortex, frontal pole, inferior frontal gyrus, parahippocampal gyrus, and superior temporal gyrus) across three independent cohort datasets. ADAS-viewer is particularly useful as a web-based application for analyzing and visualizing multi-omics data across multiple brain regions at both transcript and exon level, allowing the identification of candidate biomarkers of Alzheimer's disease.

Indexed as

Alzheimer DiseaseBrainDorsolateral Prefrontal CortexGenomicsHumansInternet

Identifiers

PMID33741983
PMCPMC7979890

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.