Evidence map›Paper›PMID 27244899›Full record

SynthesisOncotarget2016

FERMT2 rs17125944 polymorphism with Alzheimer's disease risk: a replication and meta-analysis.

Qiu-Yue Zhang, Hui-Fu Wang, Zhan-Jie Zheng, Ling-Li Kong, Meng-Shan Tan, Chen-Chen Tan, Wei Zhang, Zi-Xuan Wang, Lin Tan, Jin-Tai Yu and 1 more

Open access · diamondAbstract readMeta-Analysis
In one paragraph

Synthesis in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 26% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. The relationship of early- and late-onset Alzheimer's disease genes with COVID-19.Journal of neural transmission (Vienna, Austria : 1996) · 2022
    Review
  5. Article
  6. 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

11 authors at 3 institutions in 1 country.

Qiu-Yue ZhangDepartment of Neurology, Qingdao Municipal Hospital, School of Medicine, Qingdao University, Qingdao, China.
Hui-Fu WangDepartment of Neurology, Qingdao Municipal Hospital, School of Medicine, Qingdao University, Qingdao, China.
Zhan-Jie ZhengDepartment of Geriatrics, Qingdao Mental Health Center, Qingdao, China.
Ling-Li KongDepartment of Geriatrics, Qingdao Mental Health Center, Qingdao, China.
Meng-Shan TanDepartment of Neurology, Qingdao Municipal Hospital, School of Medicine, Qingdao University, Qingdao, China.
Chen-Chen TanDepartment of Neurology, Qingdao Municipal Hospital, School of Medicine, Qingdao University, Qingdao, China.
Wei ZhangDepartment of Emergency, Qingdao Municipal Hospital, School of Medicine, Qingdao University, Qingdao, China.
Zi-Xuan WangDepartment of Neurology, Qingdao Municipal Hospital, School of Medicine, Qingdao University, Qingdao, China.
Lin TanCollege of Medicine and Pharmaceutics, Ocean University of China, Qingdao, China.
Jin-Tai YuDepartment of Neurology, Qingdao Municipal Hospital, School of Medicine, Qingdao University, Qingdao, China.
Lan TanDepartment of Neurology, Qingdao Municipal Hospital, School of Medicine, Qingdao University, Qingdao, China.
Qingdao University · CNQingdao Municipal Hospital · CNQingdao Mental Health Center · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A recent meta-analysis of genome-wide association studies (GWAS) in population of Caucasian identified a single nucleotide polymorphism (SNP) rs17125944 in the FERMT2 gene as a new susceptibility locus for late-onset Alzheimer's disease (LOAD). In order to validate the association of the rs17125944 polymorphism with LOAD risk in the northern Han Chinese, we recruited a case-control study of 2338 Han Chinese subjects (984 cases and 1354 age- and gender-matched controls). Our results demonstrated that there was no significant association between the rs17125944 polymorphism and LOAD (genotype: P = 0.953; allele: P = 0.975). Furthermore, no significant differences were observed in alleles and genotypes distribution after stratification by apolipoprotein E (APOE) ε4 and multivariate logistic regression analysis. We also performed a meta-analysis in 81908 individuals. The meta-analysis showed that the C allele is the risk factor for LOAD in Caucasian group (OR = 1.15, 95 % CI = 1.10-1.20) and combined population (OR = 1.13, 95 % CI = 1.08-1.19). While in Chinese population, the C allele is not associated with increased risk of LOAD (OR = 1.07, 95 % CI = 0.89-1.28). In conclusion, our study showed that the rs17125944 polymorphism in FERMT2 gene might not be association with LOAD in northern Han Chinese population.

Indexed as

Polymorphism, Single NucleotideAgedAllelesAlzheimer DiseaseApolipoproteins ECase-Control StudiesChinaFemaleGenotypeHumansMaleMembrane ProteinsMiddle AgedNeoplasm ProteinsRegression AnalysisRiskApoE protein, humanApolipoproteins EFERMT2 protein, humanMembrane ProteinsNeoplasm ProteinsAlzheimer’s diseaseassociation studyFERMT2Gerotargetmeta-analysispolymorphism

Identifiers

PMID27244899
PMCPMC5129912
OpenAlexW2401572675

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.