Evidence map›Paper›PMID 36693875›Full record

ArticleScientific data2023

Three-dimensional chromatin architecture datasets for aging and Alzheimer's disease.

Guofeng Meng, Hong Xu, Dong Lu, Shensuo Li, Zhenzhen Zhao, Haohao Li, Weidong Zhang

Abstract readDataset
In one paragraph

Article in Scientific data, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Gene networks and systems biology in Alzheimer's disease: Insights from multi-omics approaches.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
    Review
  11. Review
  12. International journal of molecular sciences · 2023
    Article
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.

Guofeng Meng *Institute of interdisciplinary integrative Medicine Research, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China. menggf@shutcm.edu.cn.
Hong Xu *Institute of interdisciplinary integrative Medicine Research, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
Dong LuInstitute of interdisciplinary integrative Medicine Research, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
Shensuo LiInstitute of interdisciplinary integrative Medicine Research, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
Zhenzhen ZhaoInstitute of interdisciplinary integrative Medicine Research, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China.
Haohao LiFaculty of Business and Economics, The University of Hong Kong, Pokfulam Road, Hong Kong, China.
Weidong ZhangInstitute of interdisciplinary integrative Medicine Research, Shanghai University of Traditional Chinese Medicine, Shanghai, 201203, China. wdzhangy@hotmail.com.

Funding

National Natural Science Foundation of China (National Science Foundation of China) 81973706
6 · The paper itself

Abstract

Recently, increasing studies are indicating a close association between dysregulated enhancers and neurodegenerative diseases, such as Alzheimer's disease (AD). However, their contributions were poorly defined for lacking direct links to disease genes. To bridge this gap, we presented the Hi-C datasets of 4 AD patients, 4 dementia-free aged and 3 young subjects, including 30 billion reads. As applications, we utilized them to link the AD risk SNPs and dysregulated epigenetic marks to the target genes. Combining with epigenetic data, we observed more detailed interactions among regulatory regions and found that many known AD risk genes were under long-distance promoter-enhancer interactions. For future AD and aging studies, our datasets provide a reference landscape to better interpret findings of association and epigenetic studies for AD and aging process.

Indexed as

AgingAlzheimer DiseaseChromatinAgedEpigenomicsHumansChromatin

Identifiers

PMID36693875
PMCPMC9873630

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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.