Evidence map›Paper›PMID 25649651›Full record

ArticleJournal of Alzheimer's disease : JAD2015

Genetic Determinants of Survival in Patientswith Alzheimer’s Disease.

Xingbin Wang, Oscar Lopez, Robert A Sweet, James T Becker, Steven T DeKosky, Mahmud M Barmada, Eleanor Feingold, F Yesim Demirci, M Ilyas Kamboh

Open access · greenAbstract read
In one paragraph

Article in Journal of Alzheimer's disease : JAD, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.6field-weighted citation impact, top 32% 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

11 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
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  9. Review
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  11. Alzheimer's disease genetic risk variants beyondAlzheimer's & dementia (Amsterdam, Netherlands) · 2017
    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

9 authors at 3 institutions in 1 country.

Xingbin WangDepartment of Human Genetics, University of Pittsburgh, Pittsburgh, PA, USA.
Oscar Lopez
Robert A Sweet
James T Becker
Steven T DeKosky
Mahmud M Barmada
Eleanor Feingold
F Yesim Demirci
M Ilyas Kamboh
University of Pittsburgh · USUniversity of Virginia · USVA Pittsburgh Healthcare System · US

Funding

TREATMENT OF DEPRESSION IN ALZHEIMER'S DISEASEP50AG005133 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BECKER, JAMES T. · 1985 to 2019
$43.0M
Prediction of Psychosis in Alzheimer DiseaseR01AG027224 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SWEET, ROBERT A · 2007 to 2021
$10.8M
Search for the Alzheimers GenesR01AG030653 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI KAMBOH, M. ILYAS · 2009 to 2019
$7.7M
Deep Resequencing of Candidate Gene Regions in Late-onset Alzheimer's DiseaseR01AG041718 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI KAMBOH, M. ILYAS · 2012 to 2016
$3.0M
NIA NIH HHS AG005133NIA NIH HHS AG027224NIA NIH HHS AG030653NIA NIH HHS AG041718NIA NIH HHS P50 AG005133NIA NIH HHS R01 AG027224NIA NIH HHS R01 AG030653NIA NIH HHS R01 AG041718
6 · The paper itself

Abstract

There is a strong genetic basis for late-onset of Alzheimer’s disease (LOAD), and thus far >20 genes/loci have been identified that affect the risk of LOAD. In addition to disease risk, genetic variation at these loci may also affect components of the natural history of AD, such as survival in AD. In this study, we first examined the role of known LOAD genes with survival time in 983 AD patients. We then performed genome-wide single-nucleotide polymorphism (SNP) and gene-based association analyses to identify novel loci that may influence survival of AD. Survival analysis was conducted using Cox proportional hazards regression under an additive genetics model. We found multiple nominally significant associations (p < 0.01) either within or adjacent to known LOAD genes. Genome-wide SNP analysis identified multiple suggestive novel loci and two of them were also significant in gene-based analysis (CCDC85C and NARS2) that survived after controlling for false-discovery rate at 0.05. In summary, we have identified two novel genes for survival in AD that need to be replicated in independent samples. Our findings highlight the importance of focusing on AD-related phenotypes that may help to identify additional genes relevant toAD.

Indexed as

Genetic Predisposition to DiseaseAdaptor Proteins, Signal TransducingAgedAged, 80 and overAlzheimer DiseaseAspartate-tRNA LigaseFemaleGenome-Wide Association StudyHumansMalePolymorphism, Single NucleotideProportional Hazards ModelsAdaptor Proteins, Signal TransducingAspartate-tRNA LigaseNARS2 protein, human

Identifiers

PMID25649651
PMCPMC4486643
OpenAlexW1595937273

What OpenQuestion holds

Textmetadata
LicenceTDM
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.