Evidence map›Paper›PMID 38241287›Full record

ArticlePloS one2024

Knowledge domains and emerging trends of Genome-wide association studies in Alzheimer's disease: A bibliometric analysis and visualization study from 2002 to 2022.

Fanjing Kong, Tianyu Wu, Jingyi Dai, Jie Cai, Zhenwei Zhai, Zhishan Zhu, Ying Xu, Tao Sun

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Review
  3. Genetic Burden andJournal of personalized medicine · 2026
    Article
  4. Article
  5. 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

8 authors.

Fanjing KongSchool of Intelligent Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Tianyu WuSchool of Acupuncture-Moxibustion and Tuina, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Jingyi DaiSchool of Intelligent Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Jie CaiSchool of Intelligent Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Zhenwei ZhaiSchool of Intelligent Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Zhishan ZhuSchool of Intelligent Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Ying XuHospital of Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Tao SunSchool of Intelligent Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, China.ORCID 0000-0003-2773-9174

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesAlzheimer's disease (AD) is a neurodegenerative disorder characterized by a progressive decline in cognitive and behavioral function. Studies have shown that genetic factors are one of the main causes of AD risk. genome-wide association study (GWAS), as a novel and effective tool for studying the genetic risk of diseases, has attracted attention from researchers in recent years and a large number of studies have been conducted. This study aims to summarize the literature on GWAS in AD by bibliometric methods, analyze the current status, research hotspots and future trends in this field.

methodsWe retrieved articles on GWAS in AD published between 2002 and 2022 from Web of Science. CiteSpace and VOSviewer software were applied to analyze the articles for the number of articles published, countries/regions and institutions of publication, authors and cited authors, highly cited literature, and research hotspots.

resultsWe retrieved a total of 2,751 articles. The United States had the highest number of publications in this field, and Columbia University was the institution with the most published articles. The identification of AD-related susceptibility genes and their effects on AD is one of the current research hotspots. Numerous risk genes have been identified, among which APOE, CLU, CD2AP, CD33, EPHA1, PICALM, CR1, ABCA7 and TREM2 are the current genes of interest. In addition, risk prediction for AD and research on other related diseases are also popular research directions in this field.

conclusionThis study conducted a comprehensive analysis of GWAS in AD and identified the current research hotspots and research trends. In addition, we also pointed out the shortcomings of current research and suggested future research directions. This study can provide researchers with information about the knowledge structure and emerging trends in the field of GWAS in AD and provide guidance for future research.

Indexed as

Alzheimer DiseaseATP-Binding Cassette TransportersBibliometricsGenome-Wide Association StudyHealth FacilitiesHumansATP-Binding Cassette Transporters

Identifiers

PMID38241287
PMCPMC10798548

What OpenQuestion holds

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LicenceCC BY
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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.