Evidence map›Paper›PMID 38092781›Full record

ArticleTranslational psychiatry2023

Identification of candidate DNA methylation biomarkers related to Alzheimer's disease risk by integrating genome and blood methylome data.

Yanfa Sun, Jingjing Zhu, Yaohua Yang, Zichen Zhang, Hua Zhong, Guanghua Zeng, Dan Zhou, Richard S Nowakowski, Jirong Long, Chong Wu and 1 more

Open access · goldAbstract read
In one paragraph

Article in Translational psychiatry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.7field-weighted citation impact, top 6% 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

16 citing papers in PubMed, 24 citations in OpenAlex.

  1. Co-expression network multivariate regression.Briefings in bioinformatics · 2026
    Article
  2. Article
  3. Article
  4. DNA Methylation in Long-Term Memory.Physiology (Bethesda, Md.) · 2025
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. DNA methylation and prediction of biological age.Frontiers in molecular biosciences · 2025
    Review
  11. Review
  12. Review
  13. Review
  14. Article
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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

11 authors at 7 institutions in 2 countries.

Yanfa Sun *College of Life Science, Fujian Provincial Key Laboratory for the Prevention and Control of Animal Infectious Diseases and Biotechnology, Fujian Provincial Universities Key Laboratory of Preventive Veterinary Medicine and Biotechnology (Longyan University), Longyan University, Longyan, Fujian, 364012, P. R. China.ORCID 0000-0001-9653-1006
Jingjing Zhu *Cancer Epidemiology Division, Population Sciences in the Pacific Program, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, HI, 96813, USA.
Yaohua YangCenter for Public Health Genomics, Department of Public Health Sciences, UVA Comprehensive Cancer Center, School of Medicine, University of Virginia, Charlottesville, VA, 22093, USA.
Zichen ZhangDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.
Hua ZhongCancer Epidemiology Division, Population Sciences in the Pacific Program, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, HI, 96813, USA.
Guanghua ZengCollege of Life Science, Fujian Provincial Key Laboratory for the Prevention and Control of Animal Infectious Diseases and Biotechnology, Fujian Provincial Universities Key Laboratory of Preventive Veterinary Medicine and Biotechnology (Longyan University), Longyan University, Longyan, Fujian, 364012, P. R. China.
Dan ZhouSchool of Public Health and the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, 310058, P.R. China.ORCID 0000-0002-5313-8164
Richard S NowakowskiDepartment of Biomedical Sciences, Florida State University, Tallahassee, FL, 32304, USA.
Jirong LongDivision of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, TN, 37203, USA.
Chong WuDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, 77030, USA.ORCID 0000-0002-8400-1785
Lang WuCancer Epidemiology Division, Population Sciences in the Pacific Program, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, HI, 96813, USA. lwu@cc.hawaii.edu.ORCID 0000-0001-9938-3627
University of Hawaiʻi at Mānoa · USThe University of Texas MD Anderson Cancer Center · USFlorida State University · USLongyan University · CNSecond Affiliated Hospital of Zhejiang University · CNUniversity of Virginia · USVanderbilt University Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alzheimer disease (AD) is a common neurodegenerative disease with a late onset. It is critical to identify novel blood-based DNA methylation biomarkers to better understand the extent of the molecular pathways affected in AD. Two sets of blood DNA methylation genetic prediction models developed using different reference panels and modelling strategies were leveraged to evaluate associations of genetically predicted DNA methylation levels with AD risk in 111,326 (46,828 proxy) cases and 677,663 controls. A total of 1,168 cytosine-phosphate-guanine (CpG) sites showed a significant association with AD risk at a false discovery rate (FDR) < 0.05. Methylation levels of 196 CpG sites were correlated with expression levels of 130 adjacent genes in blood. Overall, 52 CpG sites of 32 genes showed consistent association directions for the methylation-gene expression-AD risk, including nine genes (CNIH4, THUMPD3, SERPINB9, MTUS1, CISD1, FRAT2, CCDC88B, FES, and SSH2) firstly reported as AD risk genes. Nine of 32 genes were enriched in dementia and AD disease categories (P values ranged from 1.85 × 10

Indexed as

Alzheimer DiseaseNeurodegenerative DiseasesBiomarkersCpG IslandsDNA MethylationEpigenomeHumansReceptors, Cytoplasmic and NuclearTumor Suppressor ProteinsBiomarkersCNIH4 protein, humanMTUS1 protein, humanReceptors, Cytoplasmic and NuclearTumor Suppressor Proteins

Identifiers

PMID38092781
PMCPMC10719322
OpenAlexW4389664693

What OpenQuestion holds

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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.