Evidence map›Paper›PMID 32072450›Full record

ArticleNeuroscience bulletin2020

Association of Polygenic Risk Score with Age at Onset and Cerebrospinal Fluid Biomarkers of Alzheimer's Disease in a Chinese Cohort.

Wei-Wei Li, Zhen Wang, Dong-Yu Fan, Ying-Ying Shen, Dong-Wan Chen, Hui-Yun Li, Ling Li, Heng Yang, Yu-Hui Liu, Xian-Le Bu and 6 more

Open access · greenAbstract read
In one paragraph

Article in Neuroscience bulletin, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
4.0field-weighted citation impact, top 6% 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

23 citing papers in PubMed, 33 citations in OpenAlex.

  1. Review
  2. Article
  3. The impact of polygenic risk for alzheimer's disease on neurotransmitter-related grey matter atrophy in the alzheimer continuum.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
    Article
  4. Article
  5. The association between temperament and polygenic score for psychopathology from infancy to middle childhood.Journal of child psychology and psychiatry, and allied disciplines · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. CD33 and SHP-1/Genes · 2024
    Article
  11. Article
  12. Review
  13. Polygenic resilience score may be sensitive to preclinical Alzheimer's disease changes.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2023
    Article
  14. Review
  15. Article
  16. Associations of risk genes with onset age and plasma biomarkers of Alzheimer's disease: a large case-control study in mainland China.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2022
    Article
  17. Article
  18. Review
  19. Article
  20. 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

16 authors at 4 institutions in 1 country.

Wei-Wei LiDepartment of Neurology and Centre for Clinical Neuroscience, Daping Hospital, Third Military Medical University, Chongqing, 400042, China.
Zhen WangDepartment of Anaesthesiology, Daping Hospital, Third Military Medical University, Chongqing, 400042, China.
Dong-Yu FanDepartment of Neurology and Centre for Clinical Neuroscience, Daping Hospital, Third Military Medical University, Chongqing, 400042, China.
Ying-Ying ShenDepartment of Neurology and Centre for Clinical Neuroscience, Daping Hospital, Third Military Medical University, Chongqing, 400042, China.
Dong-Wan ChenDepartment of Neurology and Centre for Clinical Neuroscience, Daping Hospital, Third Military Medical University, Chongqing, 400042, China.
Hui-Yun LiDepartment of Neurology and Centre for Clinical Neuroscience, Daping Hospital, Third Military Medical University, Chongqing, 400042, China.
Ling LiDepartment of Neurology and Centre for Clinical Neuroscience, Daping Hospital, Third Military Medical University, Chongqing, 400042, China.
Heng YangDepartment of Neurology and Centre for Clinical Neuroscience, Daping Hospital, Third Military Medical University, Chongqing, 400042, China.
Yu-Hui LiuDepartment of Neurology and Centre for Clinical Neuroscience, Daping Hospital, Third Military Medical University, Chongqing, 400042, China.
Xian-Le BuDepartment of Neurology and Centre for Clinical Neuroscience, Daping Hospital, Third Military Medical University, Chongqing, 400042, China.
Wang-Sheng JinDepartment of Neurology and Centre for Clinical Neuroscience, Daping Hospital, Third Military Medical University, Chongqing, 400042, China.
Fan ZengDepartment of Neurology and Centre for Clinical Neuroscience, Daping Hospital, Third Military Medical University, Chongqing, 400042, China.
Zhi-Qiang XuDepartment of Neurology and Centre for Clinical Neuroscience, Daping Hospital, Third Military Medical University, Chongqing, 400042, China.
Jin-Tai YuDepartment of Neurology, Huashan Hospital, Fudan University, Shanghai, 200040, China.
Li-Yong ChenDepartment of Anaesthesiology, Daping Hospital, Third Military Medical University, Chongqing, 400042, China. mzkcly@aliyun.com.
Yan-Jiang WangDepartment of Neurology and Centre for Clinical Neuroscience, Daping Hospital, Third Military Medical University, Chongqing, 400042, China. yanjiang_wang@tmmu.edu.cn.
Daping Hospital · CNArmy Medical University · CNCenter for Excellence in Brain Science and Intelligence Technology · CNHuashan Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To evaluate whether the polygenic profile modifies the development of sporadic Alzheimer's disease (sAD) and pathological biomarkers in cerebrospinal fluid (CSF), 462 sAD patients and 463 age-matched cognitively normal (CN) controls were genotyped for 35 single-nucleotide polymorphisms (SNPs) that are significantly associated with sAD. Then, the alleles found to be associated with sAD were used to build polygenic risk score (PRS) models to represent the genetic risk. Receiver operating characteristic (ROC) analyses and the Cox proportional hazards model were used to evaluate the predictive value of PRS for the sAD risk and age at onset. We measured the CSF levels of Aβ42, Aβ42/Aβ40, total tau (T-tau), and phosphorylated tau (P-tau) in a subgroup (60 sAD and 200 CN participants), and analyzed their relationships with the PRSs. We found that 14 SNPs, including SNPs in the APOE, BIN1, CD33, EPHA1, SORL1, and TOMM40 genes, were associated with sAD risk in our cohort. The PRS models built with these SNPs showed potential for discriminating sAD patients from CN controls, and were able to predict the incidence rate of sAD and age at onset. Furthermore, the PRSs were correlated with the CSF levels of Aβ42, Aβ42/Aβ40, T-tau, and P-tau. Our study suggests that PRS models hold promise for assessing the genetic risk and development of AD. As genetic risk profiles vary among populations, large-scale genome-wide sequencing studies are urgently needed to identify the genetic risk loci of sAD in Chinese populations to build accurate PRS models for clinical practice.

Indexed as

Age of OnsetAlzheimer DiseaseAgedAmyloid beta-PeptidesBiomarkersCase-Control StudiesChinaFemaleHumansMaleMiddle AgedMultifactorial InheritancePeptide FragmentsPolymorphism, Single NucleotideRisk Factorstau ProteinsAmyloid beta-PeptidesBiomarkersPeptide Fragmentstau ProteinsAlzheimer’s diseaseAmyloid-betaBiomarkerCerebrospinal fluidPolygenic risk scoreSingle nucleotide polymorphismTau

Identifiers

PMID32072450
PMCPMC7340696
OpenAlexW3007646009

What OpenQuestion holds

Textmetadata
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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.