Evidence map›Paper›PMID 33419465›Full record

ArticleAlzheimer's research & therapy2021

Associations of Alzheimer's disease risk variants with gene expression, amyloidosis, tauopathy, and neurodegeneration.

Meng-Shan Tan, Yu-Xiang Yang, Wei Xu, Hui-Fu Wang, Lin Tan, Chuan-Tao Zuo, Qiang Dong, Lan Tan, John Suckling, Jin-Tai Yu and 1 more

Open access · goldAbstract read
In one paragraph

Article in Alzheimer's research & therapy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed, 1 pooled it
7.0field-weighted citation impact, top 2% 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

49 citing papers in PubMed, 1 synthesis or guideline pooled it, 70 citations in OpenAlex.

  1. Pooled it
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  6. Functional Analysis of Late-Onset Alzheimer's Disease Risk Genes inbioRxiv : the preprint server for biology · 2026
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  8. Cells · 2026
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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 4 institutions in 2 countries.

Meng-Shan TanDepartment of Psychiatry, University of Cambridge, Cambridge, UK.
Yu-Xiang YangDepartment of Neurology and Institute of Neurology, Huashan Hospital, Shanghai Medical College, Fudan University, 12th Wulumuqi Zhong Road, Shanghai, 200040, China.
Wei XuDepartment of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China.
Hui-Fu WangDepartment of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China.
Lin TanDepartment of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China.
Chuan-Tao ZuoPET Center, Huashan Hospital, Fudan University, Shanghai, China.
Qiang DongDepartment of Neurology and Institute of Neurology, Huashan Hospital, Shanghai Medical College, Fudan University, 12th Wulumuqi Zhong Road, Shanghai, 200040, China.
Lan TanDepartment of Neurology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China.
John SucklingDepartment of Psychiatry, University of Cambridge, Cambridge, UK. js369@cam.ac.uk.
Jin-Tai YuDepartment of Neurology and Institute of Neurology, Huashan Hospital, Shanghai Medical College, Fudan University, 12th Wulumuqi Zhong Road, Shanghai, 200040, China. jintai_yu@fudan.edu.cn.ORCID 0000-0002-7686-0547
Alzheimer’s Disease Neuroimaging Initiative
Qingdao University · CNUniversity of Cambridge · GBFudan University · CNHuashan Hospital · CN

Funding

Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
NIA NIH HHS U01 AG024904
6 · The paper itself

Abstract

backgroundGenome-wide association studies have identified more than 30 Alzheimer's disease (AD) risk genes, although the detailed mechanism through which all these genes are associated with AD pathogenesis remains unknown. We comprehensively evaluate the roles of the variants in top 30 non-APOE AD risk genes, based on whether these variants were associated with altered mRNA transcript levels, as well as brain amyloidosis, tauopathy, and neurodegeneration.

methodsHuman brain gene expression data were obtained from the UK Brain Expression Consortium (UKBEC), while other data used in our study were obtained from the Alzheimer's Disease Neuroimaging Initiative (ADNI) cohort. We examined the association of AD risk allele carrier status with the levels of gene expression in blood and brain regions and tested the association with brain amyloidosis, tauopathy, and neurodegeneration at baseline, using a multivariable linear regression model. Next, we analyzed the longitudinal effects of these variants on the change rates of pathology using a mixed effect model.

resultsAltogether, 27 variants were detected to be associated with the altered expression of 21 nearby genes in blood and brain regions. Eleven variants (especially novel variants in ADAM10, IGHV1-68, and SLC24A4/RIN3) were associated with brain amyloidosis, 7 variants (especially in INPP5D, PTK2B) with brain tauopathy, and 8 variants (especially in ECHDC3, HS3ST1) with brain neurodegeneration. Variants in ADAMTS1, BZRAP1-AS1, CELF1, CD2AP, and SLC24A4/RIN3 participated in more than one cerebral pathological process.

conclusionsGenetic variants might play functional roles and suggest potential mechanisms in AD pathogenesis, which opens doors to uncover novel targets for AD treatment.

Indexed as

Alzheimer DiseaseAmyloidosisTauopathiesGene ExpressionGenome-Wide Association StudyHumansAlzheimer diseaseAmyloidGene expressionNeurodegenerationRisk variantsTau

Identifiers

PMID33419465
PMCPMC7792349
OpenAlexW3119287108

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.