Evidence map›Paper›PMID 26395074›Full record

ArticleScientific reports2015

Leveraging existing data sets to generate new insights into Alzheimer's disease biology in specific patient subsets.

Kevin D Fowler, Jason M Funt, Maxim N Artyomov, Benjamin Zeskind, Sarah E Kolitz, Fadi Towfic

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

13 citing papers in PubMed, 20 citations in OpenAlex.

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  10. Genome-Wide Expression Profiles Drive Discovery of Novel Compounds that Reduce Binge Drinking in Mice.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2018
    Article
  11. 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

6 authors at 1 institution in 1 country.

Kevin D FowlerImmuneering Corporation, Cambridge, Massachusetts, United States of America.
Jason M FuntImmuneering Corporation, Cambridge, Massachusetts, United States of America.
Maxim N ArtyomovImmuneering Corporation, Cambridge, Massachusetts, United States of America.
Benjamin ZeskindImmuneering Corporation, Cambridge, Massachusetts, United States of America.
Sarah E KolitzImmuneering Corporation, Cambridge, Massachusetts, United States of America.
Fadi TowficImmuneering Corporation, Cambridge, Massachusetts, United States of America.
Immuneering (United States)

Funding

Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
UC Davis Alzheimer's Disease Core CenterP30AG010129 · NIA · UNIVERSITY OF CALIFORNIA DAVIS · PI DECARLI, CHARLES · 1991 to 2020
$28.3M
"MR Morphometrics and Cognitive Decline Rate in Large-Scale Aging Studies"K01AG030514 · NIA · UNIVERSITY OF CALIFORNIA AT DAVIS · PI CARMICHAEL, OWEN T. · 2008 to 2012
$495k
Canadian Institutes of Health ResearchNIA NIH HHS K01 AG030514NIA NIH HHS P30 AG010129NIA NIH HHS U01 AG024904
6 · The paper itself

Abstract

To generate new insights into the biology of Alzheimer's Disease (AD), we developed methods to combine and reuse a wide variety of existing data sets in new ways. We first identified genes consistently associated with AD in each of four separate expression studies, and confirmed this result using a fifth study. We next developed algorithms to search hundreds of thousands of Gene Expression Omnibus (GEO) data sets, identifying a link between an AD-associated gene (NEUROD6) and gender. We therefore stratified patients by gender along with APOE4 status, and analyzed multiple SNP data sets to identify variants associated with AD. SNPs in either the region of NEUROD6 or SNAP25 were significantly associated with AD, in APOE4+ females and APOE4+ males, respectively. We developed algorithms to search Connectivity Map (CMAP) data for medicines that modulate AD-associated genes, identifying hypotheses that warrant further investigation for treating specific AD patient subsets. In contrast to other methods, this approach focused on integrating multiple gene expression datasets across platforms in order to achieve a robust intersection of disease-affected genes, and then leveraging these results in combination with genetic studies in order to prioritize potential genes for targeted therapy.

Indexed as

AlgorithmsAlzheimer DiseaseApolipoprotein E4Basic Helix-Loop-Helix ProteinsDatabases, ProteinFemaleGene Expression RegulationGenetic Predisposition to DiseaseHumansMalePolymorphism, Single NucleotideSex FactorsSynaptosomal-Associated Protein 25Apolipoprotein E4Basic Helix-Loop-Helix ProteinsNEUROD6 protein, humanSNAP25 protein, humanSynaptosomal-Associated Protein 25

Identifiers

PMID26395074
PMCPMC4585817
OpenAlexW2108093484

What OpenQuestion holds

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LicenceCC BY
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.