Evidence map›Paper›PMID 35213535›Full record

ArticlePLoS computational biology2022

Mapping the gene network landscape of Alzheimer's disease through integrating genomics and transcriptomics.

Sara Brin Rosenthal, Hao Wang, Da Shi, Cin Liu, Ruben Abagyan, Linda K McEvoy, Chi-Hua Chen

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Article
  6. Ubiquitin-proteasome system in the different stages of dominantly inherited Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. 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

7 authors at 1 institution in 1 country.

Sara Brin RosenthalCenter for Computational Biology and Bioinformatics, University of California San Diego, La Jolla, California, United States of America.
Hao WangCenter for Multimodal Imaging and Genetics, Department of Radiology, University of California San Diego, La Jolla, California, United States of America.ORCID 0000-0002-1518-9702
Da ShiSkaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, California, United States of America.ORCID 0000-0002-1953-2299
Cin LiuCenter for Multimodal Imaging and Genetics, Department of Radiology, University of California San Diego, La Jolla, California, United States of America.ORCID 0000-0002-9178-1433
Ruben AbagyanSkaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, California, United States of America.ORCID 0000-0001-9309-2976
Linda K McEvoyCenter for Multimodal Imaging and Genetics, Department of Radiology, University of California San Diego, La Jolla, California, United States of America.ORCID 0000-0003-4583-7798
Chi-Hua ChenCenter for Multimodal Imaging and Genetics, Department of Radiology, University of California San Diego, La Jolla, California, United States of America.ORCID 0000-0001-5318-047X
University of California San Diego · US

Funding

Genetic architecture of the human brain and neuropsychiatric disordersR01MH118281 · NIMH · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CHEN, CHI-HUA · 2019 to 2023
$2.7M
Addressing biomedical challenges with computational mechanics and big dataR35GM131881 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ABAGYAN, RUBEN · 2019 to 2023
$1.9M
Omic analyses for stratifying Alzheimer's subtypes and identifying novel drug targetsR56AG061163 · NIA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CHEN, CHI-HUA · 2018 to 2018
$560k
NIA NIH HHS R56 AG061163NIGMS NIH HHS R35 GM131881NIMH NIH HHS R01 MH118281
6 · The paper itself

Abstract

Integration of multi-omics data with molecular interaction networks enables elucidation of the pathophysiology of Alzheimer's disease (AD). Using the latest genome-wide association studies (GWAS) including proxy cases and the STRING interactome, we identified an AD network of 142 risk genes and 646 network-proximal genes, many of which were linked to synaptic functions annotated by mouse knockout data. The proximal genes were confirmed to be enriched in a replication GWAS of autopsy-documented cases. By integrating the AD gene network with transcriptomic data of AD and healthy temporal cortices, we identified 17 gene clusters of pathways, such as up-regulated complement activation and lipid metabolism, down-regulated cholinergic activity, and dysregulated RNA metabolism and proteostasis. The relationships among these pathways were further organized by a hierarchy of the AD network pinpointing major parent nodes in graph structure including endocytosis and immune reaction. Control analyses were performed using transcriptomics from cerebellum and a brain-specific interactome. Further integration with cell-specific RNA sequencing data demonstrated genes in our clusters of immunoregulation and complement activation were highly expressed in microglia.

Indexed as

Alzheimer DiseaseAnimalsGene Regulatory NetworksGenome-Wide Association StudyGenomicsMiceTranscriptome

Identifiers

PMID35213535
PMCPMC8906581
OpenAlexW4214519652

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.