Evidence map›Paper›PMID 31711042›Full record

ArticleAging2019

Genome-wide association study identifies

Xian Li, Shu-Guang Chu, Xue-Ning Shen, Xiao-He Hou, Wei Xu, Ya-Nan Ou, Qiang Dong, Lan Tan, Jin-Tai Yu

Open access · greenAbstract read
In one paragraph

Article in Aging, 2019. 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
0.9field-weighted citation impact, top 21% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Shared genetic architecture between DTI-ALPS traits and neurodegenerative diseases.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  2. Investigating PeripheralBiomolecules · 2026
    Article
  3. Article
  4. Genetic associations with age at dementia onset in the PSEN1 E280A Colombian kindred.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2023
    Article
  5. 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

9 authors at 3 institutions in 1 country.

Xian LiDepartment of Neurology, Qingdao Municipal Hospital, Dalian Medical University, Dalian, China.
Shu-Guang ChuDepartment of Radiology, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, China.
Xue-Ning ShenDepartment of Neurology and Institute of Neurology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.
Xiao-He HouDepartment of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China.
Wei XuDepartment of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China.
Ya-Nan OuDepartment of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China.
Qiang DongDepartment of Neurology and Institute of Neurology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.
Lan TanDepartment of Neurology, Qingdao Municipal Hospital, Dalian Medical University, Dalian, China.
Jin-Tai YuDepartment of Neurology and Institute of Neurology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.
Qingdao University · CNFudan University · CNShanghai East Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ventricular enlargement occurs in several neurodegenerative and psychiatric diseases. A large genome-wide association study (GWAS) has identified seven loci associated with ventricular volume. The rate of ventricular enlargement increased in the progression of disease from normal cognition to dementia. Here, we aimed to use the rate of ventricular enlargement as an endophenotype for the development and progression of neurodegenerative diseases to discover more common genetic variants. We performed a GWAS of the rate of ventricular enlargement using 507 nondemented non-Hispanic white participants from the Alzheimer's Disease Neuroimaging Initiative (ADNI) cohort. Linear regression model was used to identify the association of the rate of ventricular enlargement with single nucleotide polymorphisms (SNPs) in PLINK software. The associations of genome-wide significant SNPs with other four phenotypes were further discussed. Two SNPs (rs11620312, P = 4.04×10

Indexed as

Polymorphism, Single NucleotideAgedAged, 80 and overAgingAlzheimer DiseaseCerebral VentriclesCognitive DysfunctionCohort StudiesDementiaFemaleGenetic LociGenetic Predisposition to DiseaseGenome-Wide Association StudyGenotypeHumansLinkage DisequilibriumNuclear ProteinsSeven in Absentia ProteinsUbiquitin-Protein Ligasesgenome-wide association studyneurodegenerative diseasesSIAH3ventricular enlargement

Identifiers

PMID31711042
PMCPMC6874439
OpenAlexW2988699230

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.