Evidence map›Paper›PMID 24093081›Full record

ReviewAmerican journal of neurodegenerative disease2013

Pathways to neurodegeneration: mechanistic insights from GWAS in Alzheimer's disease, Parkinson's disease, and related disorders.

Vijay K Ramanan, Andrew J Saykin

Open access · greenAbstract readReview
In one paragraph

Review in American journal of neurodegenerative disease, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 119 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
119citing papers in PubMed, 5 pooled it
8.8field-weighted citation impact, top 2% 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

119 citing papers in PubMed, 5 syntheses or guidelines pooled it, 173 citations in OpenAlex.

  1. Pooled it
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  6. Review
  7. Article
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  11. Metabolic dysregulation in Alzheimer's disease: A brain metabolomics approach.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
  12. Article
  13. Multiple methods for assessing learning and memory inbioRxiv : the preprint server for biology · 2025
    Article
  14. Review
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  16. Review
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  18. Article
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  20. Unraveling the intricate link between cell death and neuroinflammation usingFrontiers in cell and developmental biology · 2024
    Review

59 more citing papers are in PubMed but not listed here.

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

2 authors at 2 institutions in 1 country.

Vijay K RamananCenter for Neuroimaging, Department of Radiology and Imaging Sciences, Indiana University School of Medicine Indianapolis, IN, USA ; Department of Medical and Molecular Genetics, Indiana University School of Medicine Indianapolis, IN, USA ; Medical Scientist Training Program, Indiana University School of Medicine Indianapolis, IN, USA.
Andrew J Saykin
Indiana University Bloomington · USIndiana University – Purdue University Indianapolis · US

Funding

Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
Research Education ComponentP30AG010133 · NIA · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI SAYKIN, ANDREW J · 1991 to 2020
$37.3M
Amyloid Imaging, VMCI, and Analysis for ADNIRC2AG036535 · NIA · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI WEINER, MICHAEL W · 2009 to 2010
$23.8M
INDIANA CLINICAL AND TRANSLATIONAL SCIENCE INSTITUTE (UL1): BPCAUL1RR025761 · NCRR · INDIANA UNIVERSITY INDIANAPOLIS · PI SHEKHAR, ANANTHA · 2008 to 2011
$21.0M
Memory Circuitry in MCI and Early Alzheimer’s Disease Prodrome: Molecular DriversR01AG019771 · NIA · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI SAYKIN, ANDREW J · 2001 to 2021
$6.9M
Indiana Medical Scientist/Engineer Training ProgramT32GM077229 · NIGMS · INDIANA UNIVERSITY INDIANAPOLIS · PI GASTON, BENJAMIN, HERBERT, BRITTNEY-SHEA · 2008 to 2022
$6.0M
EXTRAMURAL RESEARCH FACILITIES IMPROVEMENT: NEUROLOGICAL DISORDERS:ALZ, PDC06RR020128 · NCRR · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI FIFE, ROSE S · 2004 to 2004
$3.7M
Bioinformatics Strategies for Multidimensional Brain Imaging GeneticsR01LM011360 · NLM · INDIANA UNIVERSITY INDIANAPOLIS · PI MOORE, JASON H., SAYKIN, ANDREW J · 2012 to 2015
$1.4M
Automated Nucleic Acid Extractor System:AutoGenFlex Star/AutoGen Quick-Gene 810S10RR027710 · NCRR · INDIANA UNIVERSITY INDIANAPOLIS · PI CORNETTA, KENNETH · 2010 to 2010
$159k
NCRR NIH HHS C06 RR020128NCRR NIH HHS S10 RR027710NCRR NIH HHS UL1 RR025761NIA NIH HHS P30 AG010133NIA NIH HHS R01 AG019771NIA NIH HHS RC2 AG036535NIA NIH HHS U01 AG024904NIGMS NIH HHS T32 GM077229NLM NIH HHS R01 LM011360
6 · The paper itself

Abstract

The discovery of causative genetic mutations in affected family members has historically dominated our understanding of neurodegenerative diseases such as Alzheimer's disease (AD), Parkinson's disease (PD), frontotemporal dementia (FTD), and amyotrophic lateral sclerosis (ALS). Nevertheless, most cases of neurodegenerative disease are not explained by Mendelian inheritance of known genetic variants, but instead are thought to have a complex etiology with numerous genetic and environmental factors contributing to susceptibility. Although unbiased genome-wide association studies (GWAS) have identified novel associations to neurodegenerative diseases, most of these hits explain only modest fractions of disease heritability. In addition, despite the substantial overlap of clinical and pathologic features among major neurodegenerative diseases, surprisingly few GWAS-implicated variants appear to exhibit cross-disease association. These realities suggest limitations of the focus on individual genetic variants and create challenges for the development of diagnostic and therapeutic strategies, which traditionally target an isolated molecule or mechanistic step. Recently, GWAS of complex diseases and traits have focused less on individual susceptibility variants and instead have emphasized the biological pathways and networks revealed by genetic associations. This new paradigm draws on the hypothesis that fundamental disease processes may be influenced on a personalized basis by a combination of variants - some common and others rare, some protective and others deleterious - in key genes and pathways. Here, we review and synthesize the major pathways implicated in neurodegeneration, focusing on GWAS from the most prevalent neurodegenerative disorders, AD and PD. Using literature mining, we also discover a novel regulatory network that is enriched with AD- and PD-associated genes and centered on the SP1 and AP-1 (Jun/Fos) transcription factors. Overall, this pathway- and network-driven model highlights several potential shared mechanisms in AD and PD that will inform future studies of these and other neurodegenerative disorders. These insights also suggest that biomarker and treatment strategies may require simultaneous targeting of multiple components, including some specific to disease stage, in order to assess and modulate neurodegeneration. Pathways and networks will provide ideal vehicles for integrating relevant findings from GWAS and other modalities to enhance clinical translation.

Indexed as

Alzheimer’s disease (AD)biomarkercomplex diseasegenome-wide association study (GWAS)networkNeurodegenerationomicsParkinson’s disease (PD)pathwaysingle nucleotide polymorphism (SNP)

Identifiers

PMID24093081
PMCPMC3783830
OpenAlexW16196038

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.