Evidence map›Paper›PMID 18076107›Full record

ArticleGenetic epidemiology2008

Confronting complexity in late-onset Alzheimer disease: application of two-stage analysis approach addressing heterogeneity and epistasis.

Tricia A Thornton-Wells, Jason H Moore, Eden R Martin, Margaret A Pericak-Vance, Jonathan L Haines

Open access · greenAbstract read
In one paragraph

Article in Genetic epidemiology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 22% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Pooled it
  2. Distinct single-nucleus RNA-seq changes among non-neuronal cells in ADNC, LATE-NC, and mixed pathologies.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
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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

5 authors at 4 institutions in 2 countries.

Tricia A Thornton-WellsBiobehavioral Intervention Training Program, Vanderbilt Kennedy Center for Research on Human Development, Vanderbilt University Institute for Imaging Science, Vanderbilt University, Nashville, Tennessee 37203, USA. t.thornton-wells@vanderbilt.edu
Jason H Moore
Eden R Martin
Margaret A Pericak-Vance
Jonathan L Haines
University of Miami · USDartmouth College · USVanderbilt University · USVanderbilt University Medical Center · US

Funding

Vanderbilt Biomedical Informatics Training ProgramT15LM007450 · NLM · VANDERBILT UNIVERSITY · PI Jessica S. Ancker, Bradley A. Malin · 2002 to 2026
$19.7M
Genetic Studies of Dementia in the AmishR01AG019085 · NIA · VANDERBILT UNIVERSITY · PI HAINES, JONATHAN L · 2001 to 2011
$11.0M
Training in Fundamental NeuroscienceT32MH064913 · NIMH · VANDERBILT UNIVERSITY · PI IHRIE, REBECCA A, WINDER, DANNY G. · 2001 to 2022
$7.6M
An Integrated Genomic Approach to Alzheimer DiseaseR01AG019757 · NIA · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI PERICAK-VANCE, MARGARET A. · 2002 to 2006
$4.8M
Alzheimer's Disease and Gene Discovery on Chromosome 9R01AG021547 · NIA · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI PERICAK-VANCE, MARGARET A. · 2003 to 2007
$3.1M
NIA NIH HHS R01 AG019085NIA NIH HHS R01AG019085NIA NIH HHS R01 AG019757NIA NIH HHS R01AG019757NIA NIH HHS R01AG0210135NIA NIH HHS R01 AG021547NIA NIH HHS R01AG021547NIMH NIH HHS T32 MH064913NIMH NIH HHS T32 MH64913NLM NIH HHS LM07450-01NLM NIH HHS T15 LM007450
6 · The paper itself

Abstract

Common diseases with a genetic basis are likely to have a very complex etiology, in which the mapping between genotype and phenotype is far from straightforward. A new comprehensive statistical and computational strategy for identifying the missing link between genotype and phenotype has been proposed, which emphasizes the need to address heterogeneity in the first stage of any analysis and gene-gene interactions in the second stage. We applied this two-stage analysis strategy to late-onset Alzheimer disease (LOAD) data, which included functional and positional candidate genes and markers in a region of interest on chromosome 10. Bayesian classification found statistically significant clusterings for independent family-based and case-control datasets, which used the same five markers in leucine-rich repeat transmembrane neuronal 3 (LRRTM3) as the most influential in determining cluster assignment. In subsequent analyses to detect main effects and gene-gene interactions, markers in three genes--urokinase-type plasminogen activator (PLAU), angiotensin 1 converting enzyme (ACE) and cell division cycle 2 (CDC2)--were found to be associated with LOAD in particular subsets of the data based on their LRRTM3 multilocus genotype. All of these genes are viable candidates for LOAD based on their known biological function, even though PLAU, CDC2 and LRRTM3 were initially identified as positional candidates. Further studies are needed to replicate these statistical findings and to elucidate possible biological interaction mechanisms between LRRTM3 and these genes.

Indexed as

Epistasis, GeneticGenetic HeterogeneityAgedAge of OnsetAlzheimer DiseaseCluster AnalysisDatabases, GeneticFamilyGenetic MarkersGenotypeHumansLinkage DisequilibriumLogistic ModelsGenetic Markers

Identifiers

PMID18076107
PMCPMC2804868
OpenAlexW2048112119

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.