Evidence map›Paper›PMID 30704480›Full record

ArticleBMC medical genomics2019

Identification of exon skipping events associated with Alzheimer's disease in the human hippocampus.

Seonggyun Han, Jason E Miller, Seyoun Byun, Dokyoon Kim, Shannon L Risacher, Andrew J Saykin, Younghee Lee, Kwangsik Nho, for Alzheimer’s Disease Neuroimaging Initiative

Open access · goldAbstract read
In one paragraph

Article in BMC medical genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

18 citing papers in PubMed, 36 citations in OpenAlex.

  1. NADScience advances · 2025
    Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Review
  7. Article
  8. Article
  9. RNA Dynamics in Alzheimer's Disease.Molecules (Basel, Switzerland) · 2021
    Review
  10. Article
  11. Alternative splicing in Alzheimer's disease.Aging clinical and experimental research · 2021
    Review
  12. Article
  13. Review
  14. Transcriptomics in Alzheimer's Disease: Aspects and Challenges.International journal of molecular sciences · 2020
    Review
  15. Article
  16. Article
  17. Article
  18. 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

9 authors at 4 institutions in 1 country.

Seonggyun HanDepartment of Biomedical Informatics, University of Utah School of Medicine, Salt Lake City, UT, USA.
Jason E MillerBiomedical and Translational Informatics Institute, Geisinger Health System, Danville, PA, USA.
Seyoun ByunDepartment of Biomedical Informatics, University of Utah School of Medicine, Salt Lake City, UT, USA.
Dokyoon KimBiomedical and Translational Informatics Institute, Geisinger Health System, Danville, PA, USA.
Shannon L RisacherCenter for Neuroimaging, Department of Radiology and Imaging Sciences and Indiana Alzheimer Disease Center, Indiana University School of Medicine, Indianapolis, IN, USA.
Andrew J SaykinCenter for Neuroimaging, Department of Radiology and Imaging Sciences and Indiana Alzheimer Disease Center, Indiana University School of Medicine, Indianapolis, IN, USA.
Younghee LeeDepartment of Biomedical Informatics, University of Utah School of Medicine, Salt Lake City, UT, USA. younghee.lee@utah.edu.
Kwangsik NhoCenter for Neuroimaging, Department of Radiology and Imaging Sciences and Indiana Alzheimer Disease Center, Indiana University School of Medicine, Indianapolis, IN, USA. knho@iupui.edu.
for Alzheimer’s Disease Neuroimaging Initiative
University of Utah · USPennsylvania State University · USAlzheimer’s Disease Neuroimaging Initiative · USIndiana University School of Medicine

Funding

Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
National Centralized Repository for Alzheimer's Disease and Related Dementias (NCRAD)U24AG021886 · NIA · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI TATIANA M. FOROUD · 2002 to 2026
$119.8M
Research Education ComponentP30AG010133 · NIA · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI GHETTI, BERNARDINO FRANCESCO · 1991 to 2020
$37.3M
Indiana Clinical and Translational Sciences InstituteUL1TR001108 · NCATS · INDIANA UNIVERSITY INDIANAPOLIS · PI DENNE, SCOTT C., SHEKHAR, ANANTHA · 2013 to 2017
$23.3M
Pharmacogenomics of Statin TherapyP50GM115318 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI RISCH, NEIL J. · 2015 to 2019
$14.0M
Memory Circuitry in MCI and Early Alzheimer’s Disease Prodrome: Molecular DriversR01AG019771 · NIA · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI SAYKIN, ANDREW J · 2001 to 2021
$6.9M
Postdoctoral Training Program in Genomic MedicineT32HG009495 · NHGRI · UNIVERSITY OF PENNSYLVANIA · PI Katherine L. Nathanson, Bogdan Pasaniuc · 2017 to 2026
$4.2M
Integrating Neuroimaging, Multi-omics, and Clinical Data in Complex DiseaseR01LM012535 · NLM · INDIANA UNIVERSITY INDIANAPOLIS · PI NHO, KWANGSIK TIMOTHY · 2017 to 2021
$1.7M
Bioinformatics Strategies for Multidimensional Brain Imaging GeneticsR01LM011360 · NLM · INDIANA UNIVERSITY INDIANAPOLIS · PI MOORE, JASON H., SAYKIN, ANDREW J · 2012 to 2015
$1.4M
Sensory and Perceptual Measures as Biomarkers of Alzheimer's Disease PathologyK01AG049050 · NIA · INDIANA UNIVERSITY INDIANAPOLIS · PI RISACHER, SHANNON L · 2015 to 2019
$612k
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
NCATS NIH HHS UL1 TR001108NHGRI NIH HHS T32 HG009495NIA NIH HHS K01 AG049050NIA NIH HHS P30 AG010133NIA NIH HHS R01 AG019771NIA NIH HHS R03 AG054936NIA NIH HHS R03 AG063250NIA NIH HHS U01 AG024904NIA NIH HHS U24 AG021886NIGMS NIH HHS P50 GM115318NLM NIH HHS R01 LM011360NLM NIH HHS R01 LM012535
6 · The paper itself

Abstract

backgroundAt least 90% of human genes are alternatively spliced. Alternative splicing has an important function regulating gene expression and miss-splicing can contribute to risk for human diseases, including Alzheimer's disease (AD).

methodsWe developed a splicing decision model as a molecular mechanism to identify functional exon skipping events and genetic variation affecting alternative splicing on a genome-wide scale by integrating genomics, transcriptomics, and neuroimaging data in a systems biology approach. In this study, we analyzed RNA-Seq data of hippocampus brain tissue from Alzheimer's disease (AD; n = 24) and cognitively normal elderly controls (CN; n = 50) and identified three exon skipping events in two genes (RELN and NOS1) as significantly associated with AD (corrected p-value < 0.05 and fold change > 1.5). Next, we identified single-nucleotide polymorphisms (SNPs) affecting exon skipping events using the splicing decision model and then performed an association analysis of SNPs potentially affecting three exon skipping events with a global cortical measure of amyloid-β deposition measured by [

resultsTwo exons in RELN and one exon in NOS1 showed significantly lower expression levels in the AD participants compared to CN participants, suggesting that the exons tend to be skipped more in AD. We also showed the loss of the core protein structure due to the skipped exons using the protein 3D structure analysis. The targeted SNP-based association analysis identified one intronic SNP (rs362771) adjacent to the skipped exon 24 in RELN as significantly associated with cortical amyloid-β levels (corrected p-value < 0.05). This SNP is within the splicing regulatory element, i.e., intronic splicing enhancer. The minor allele of rs362771 conferred decreases in cortical amyloid-β levels in the right temporal and bilateral parietal lobes.

conclusionsOur results suggest that exon skipping events and splicing-affecting SNPs in the human hippocampus may contribute to AD pathogenesis. Integration of multiple omics and neuroimaging data provides insights into possible mechanisms underlying AD pathophysiology through exon skipping and may help identify novel therapeutic targets.

Indexed as

Alzheimer DiseaseExonsHippocampusHumansPolymorphism, Single NucleotideReelin ProteinSequence Analysis, RNAReelin ProteinAlzheimer’s diseaseExon skippingHuman hippocampusNeuroimagingNOS1RELNRNA-sequencing

Identifiers

PMID30704480
PMCPMC6357347
OpenAlexW2914599370

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.