Evidence map›Paper›PMID 39907198›Full record

ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2025

The genetic landscape of early-onset Alzheimer's disease in China.

Wei Qin, Fang-Yu Li, Wen-Ying Liu, Ying Li, Shu-Man Cao, Yi-Ping Wei, Yan Li, Qi Wang, Qi-Geng Wang, Jian-Ping Jia

Abstract read
In one paragraph

Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Real-world prediction of early-onset dementia by health record data: A multi-center machine learning study.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
  3. Article
  4. The genetic landscape of early-onset Alzheimer's disease in China.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    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

10 authors.

Wei QinInnovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China.
Fang-Yu LiInnovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China.
Wen-Ying LiuInnovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China.
Ying LiInnovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China.
Shu-Man CaoInnovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China.
Yi-Ping WeiInnovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China.
Yan LiInnovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China.
Qi WangInnovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China.
Qi-Geng WangInnovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China.
Jian-Ping JiaInnovation Center for Neurological Disorders and Department of Neurology, Xuanwu Hospital, Capital Medical University, National Clinical Research Center for Geriatric Diseases, Beijing, China.ORCID https://orcid.org/0000-0003-4624-0336

Funding

Beijing Brain Initiative from Beijing Municipal Science & Technology Commission Z201100005520017Chinese Institutes for Medical Research CX23YZ15Key Project of the National Natural Science Foundation of China 81530036Key Project of the National Natural Science Foundation of China U20A20354National Key Scientific Instrument and Equipment Development Project 31627803STI2030-Major Projects 2021ZD0201802
6 · The paper itself

Abstract

introductionResearch on somatic and germline mutations in Chinese individuals with early-onset Alzheimer's disease (EOAD) has been limited.

methodsWe conducted whole-genome sequencing of blood DNA from 108 patients with EOAD and 116 controls. The analysis included somatic and germline mutations across coding and non-coding regions, mutational signature determination, pathway enrichment identification, and predictive model.

resultsThe mutational burden was significantly higher in the EOAD group compared to the control group. The prevalence of single-base substitution signature 5, which is strongly associated with aging, was much higher in patients with EOAD than in controls. EOAD-specific somatic mutations were identified in genes such as MIR31HG, TUBB4B, and APP. Germline mutations in DOCK3, PCSK5, and PDE4D were significantly associated with age of dementia onset. Furthermore, a predictive model comprising 15 mutations demonstrated an area under the curve of 0.78. DISCUSSION: The accumulation of senescence-related somatic mutations may increase the risk of developing EOAD. HIGHLIGHTS: Whole genome sequencing was used to find somatic and germline mutations in Chinese individuals with early-onset Alzheimer's disease (EOAD). Total number and burden of blood somatic mutations were significantly higher. The prevalence of single-base substitution signature 5 was notably elevated in EOAD. EOAD-specific somatic mutations were identified in MIR31HG, TUBB4B, and APP. DOCK3, PCSK5, and PDE4D germline mutations were associated with the age of EOAD onset.

Indexed as

Alzheimer DiseaseEast Asian PeopleGenetic Predisposition to DiseaseMutationAgedAge of OnsetChinaFemaleHumansMaleMiddle AgedWhole Genome Sequencingearly‐onset Alzheimer's diseasegermline mutationpredictive modelsomatic mutationwhole genome sequencing

Identifiers

PMID39907198
PMCPMC11851144

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.