Evidence map›Paper›PMID 26232066›Full record

ArticleMolecular neurobiology2016

Impact of Common Variations in PLD3 on Neuroimaging Phenotypes in Non-demented Elders.

Chong Wang, Hui-Fu Wang, Meng-Shan Tan, Ying Liu, Teng Jiang, Dao-Qiang Zhang, Lan Tan, Jin-Tai Yu, Alzheimer’s Disease Neuroimaging Initiative

Abstract read
PubMed Publisher
In one paragraph

Article in Molecular neurobiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

4 citing papers in PubMed, 11 citations in OpenAlex.

  1. Frontiers in neuroscience · 2019
    Article
  2. Review
  3. Review
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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

9 authors at 2 institutions in 2 countries.

Chong WangDepartment of Neurology, Qingdao Municipal Hospital, School of Medicine, Qingdao University, No.5 Donghai Middle Road, Qingdao, 266071, Shandong, China.
Hui-Fu WangDepartment of Neurology, Qingdao Municipal Hospital, Nanjing Medical University, Qingdao, China.
Meng-Shan TanDepartment of Neurology, Qingdao Municipal Hospital, School of Medicine, Qingdao University, No.5 Donghai Middle Road, Qingdao, 266071, Shandong, China.
Ying LiuDepartment of Neurology, Qingdao Municipal Hospital, School of Medicine, Qingdao University, No.5 Donghai Middle Road, Qingdao, 266071, Shandong, China.
Teng JiangDepartment of Neurology, Nanjing First Hospital, Nanjing Medical University, Qingdao, China.
Dao-Qiang ZhangDepartment of Computer Science and Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China.
Lan TanDepartment of Neurology, Qingdao Municipal Hospital, School of Medicine, Qingdao University, No.5 Donghai Middle Road, Qingdao, 266071, Shandong, China. dr.tanlan@163.com.
Jin-Tai YuDepartment of Neurology, Qingdao Municipal Hospital, School of Medicine, Qingdao University, No.5 Donghai Middle Road, Qingdao, 266071, Shandong, China. yu-jintai@163.com.
Alzheimer’s Disease Neuroimaging Initiative
Qingdao University · CNNanjing Medical University · 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

Rare variants of phospholipase D3 (PLD3) have been identified as Alzheimer's disease (AD) susceptibility loci, whereas little is known about the potential role of common variants in the progression of AD. To examine the impact of genetic variations in PLD3 on neuroimaging phenotypes in a large non-demented population. A total of 261 normal cognition (NC) and 456 mild cognitive impairment (MCI) individuals from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database are included in our analysis. Multiple linear regression models were applied to examine the association between four single-nucleotide polymorphisms (SNPs; rs7249146, rs4490097, rs12151243, and rs10407447) with the florbetapir retention on florbetapir 18F amyloid positron emission tomography (AV45-PET), the cerebral metabolic rate for glucose (CMRgl) on 18F-fluorodeoxyglucose PET (FDG-PET), and regional volume on magnetic resonance imaging (MRI) at baseline and in the cohort study. We did not detect any significant associations of PLD3 SNPs with florbetapir retention on AV45-PET. In the analysis of FDG-PET, rs10407447 was associated with the CMRgl in the left angular gyrus and bilateral posterior cingulate cortex in the MCI group. Regarding the MRI analysis, rs10407447 was also associated with bilateral inferior lateral ventricle and lateral ventricle volume in MCI group. The main findings of our study provide evidence that support the possible role of PLD3 common variants in influencing AD-related neuroimaging phenotypes. Nevertheless, further work is necessary to explain the functional mechanisms of differences and confirm the causal variants.

Indexed as

NeuroimagingAgedDementiaDemographyExodeoxyribonucleasesFemaleFluorodeoxyglucose F18HumansLinkage DisequilibriumMalePhenotypePhospholipase DPolymorphism, Single NucleotidePositron-Emission TomographyExodeoxyribonucleasesFluorodeoxyglucose F18Phospholipase DPLD3 protein, humanAlzheimer’s diseaseAssociationNeuroimagingPLD3

Identifiers

PMID26232066
OpenAlexW962572889

What OpenQuestion holds

Textmetadata
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.