Evidence map›Paper›PMID 25140149›Full record

ArticleFrontiers in aging neuroscience2014

Genetic variation modifies risk for neurodegeneration based on biomarker status.

Timothy J Hohman, Mary Ellen I Koran, Tricia A Thornton-Wells, Alzheimer's Neuroimaging Initiative

Abstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  13. Genetic studies of quantitative MCI and AD phenotypes in ADNI: Progress, opportunities, and plans.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2015
    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

4 authors.

Timothy J HohmanDepartment of Molecular Physiology and Biophysics, Center for Human Genetics and Research, Vanderbilt University School of Medicine Nashville, TN, USA.
Mary Ellen I KoranDepartment of Molecular Physiology and Biophysics, Center for Human Genetics and Research, Vanderbilt University School of Medicine Nashville, TN, USA.
Tricia A Thornton-WellsDepartment of Molecular Physiology and Biophysics, Center for Human Genetics and Research, Vanderbilt University School of Medicine Nashville, TN, USA.
Alzheimer's Neuroimaging Initiative

Funding

Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
National Centralized Repository for Alzheimer's Disease and Related Dementias (NCRAD)U24AG021886 · NIA · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI TATIANA M. FOROUD · 2002 to 2026
$119.8M
MEDICAL SCIENTIST TRAINING PROGRAMT32GM007347 · NIGMS · VANDERBILT UNIVERSITY · PI WILLIAMS, CHRISTOPHER S. · 1985 to 2023
$26.3M
Program in NeurogenomicsT32MH065215 · NIMH · VANDERBILT UNIVERSITY · PI ROGER J COLBRAN · 2002 to 2026
$6.4M
Recruitment of Faculty for Genetic Aging ResearchP30AG036445 · NIA · VANDERBILT UNIVERSITY · PI HAINES, JONATHAN L · 2009 to 2010
$977k
NIA NIH HHS P30 AG036445NIA NIH HHS U01 AG024904NIA NIH HHS U24 AG021886NIGMS NIH HHS T32 GM007347NIMH NIH HHS T32 MH065215
6 · The paper itself

Abstract

backgroundWhile a great deal of work has gone into understanding the relationship between Cerebrospinal fluid (CSF) biomarkers, brain atrophy, and disease progression, less work has attempted to investigate how genetic variation modifies these relationships. The goal of this study was two-fold. First, we sought to identify high-risk vs. low-risk individuals based on their CSF tau and Aβ load and characterize these individuals with regard to brain atrophy in an AD-relevant region of interest. Next, we sought to identify genetic variants that modified the relationship between biomarker classification and neurodegeneration.

methodsParticipants were categorized based on established cut-points for biomarker positivity. Mixed model regression was used to quantify longitudinal change in the left inferior lateral ventricle. Interaction analyses between single nucleotide polymorphisms (SNPs) and biomarker group status were performed using a genome wide association study (GWAS) approach. Correction for multiple comparisons was performed using the Bonferroni procedure.

resultsOne intergenic SNP (rs4866650) and one SNP within the SPTLC1 gene (rs7849530) modified the association between amyloid positivity and neurodegeneration. A transcript variant of WDR11-AS1 gene (rs12261764) modified the association between tau positivity and neurodegeneration. These effects were consistent across the two sub-datasets and explained approximately 3% of variance in ventricular dilation. One additional SNP (rs6887649) modified the association between amyloid positivity and baseline ventricular volume, but was not observed consistently across the sub-datasets.

conclusionsGenetic variation modifies the association between AD biomarkers and neurodegeneration. Genes that regulate the molecular response in the brain to oxidative stress may be particularly relevant to neural vulnerability to the damaging effects of amyloid-β.

Indexed as

Alzheimer's disease (AD)amyloidCSF biomarkersgene-environment interactiongenomicsMRItau proteins

Identifiers

PMID25140149
PMCPMC4121544

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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.