Evidence map›Paper›PMID 33794991›Full record

ArticleAlzheimer's research & therapy2021

A novel age-informed approach for genetic association analysis in Alzheimer's disease.

Yann Le Guen, Michael E Belloy, Valerio Napolioni, Sarah J Eger, Gabriel Kennedy, Ran Tao, Zihuai He, Michael D Greicius, Alzheimer’s Disease Neuroimaging Initiative

Open access · goldAbstract read
In one paragraph

Article in Alzheimer's research & therapy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 2 pooled it
5.0field-weighted citation impact, top 4% 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

24 citing papers in PubMed, 2 syntheses or guidelines pooled it, 38 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Alzheimer's Disease Sequencing Project release 4 whole genome sequencing dataset.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
  10. Article
  11. Research progress of kinesin family in neurological diseases.Frontiers in cellular neuroscience · 2025
    Review
  12. Alzheimer's Disease Sequencing Project Release 4 Whole Genome Sequencing Dataset.medRxiv : the preprint server for health sciences · 2024
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Pancreatitis as a Main Consequence ofInternational journal of genomics · 2024
    Article
  18. Article
  19. medRxiv : the preprint server for health sciences · 2023
    Article
  20. 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 2 countries.

Yann Le Guen *Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, 94304, USA. yleguen@stanford.edu.ORCID 0000-0001-6649-8364
Michael E Belloy *Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, 94304, USA.
Valerio NapolioniSchool of Biosciences and Veterinary Medicine, University of Camerino, 62032, Camerino, Italy.
Sarah J EgerDepartment of Neurology and Neurological Sciences, Stanford University, Stanford, CA, 94304, USA.
Gabriel KennedyDepartment of Neurology and Neurological Sciences, Stanford University, Stanford, CA, 94304, USA.
Ran TaoDepartment of Biostatistics and Vanderbilt Genetic Institute, Vanderbilt University, Nashville, TN, 37203, USA.
Zihuai He *Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, 94304, USA.
Michael D Greicius *Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, 94304, USA.
Alzheimer’s Disease Neuroimaging Initiative
Stanford University · USUniversità di Camerino · ITVanderbilt University · US

Funding

Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
Working Memory in Parkinson Disease: A Cognitive & Systems Neuroscience ApproachP50AG047366 · NIA · STANFORD UNIVERSITY · PI HENDERSON, VICTOR · 2015 to 2019
$7.9M
Statistical and computational methods for integrative analysis of Alzheimer's Disease geneticsR01AG066206 · NIA · STANFORD UNIVERSITY · PI HE, ZIHUAI · 2019 to 2023
$3.5M
NIA NIH HHS P50 AG047366NIA NIH HHS R01 AG066206NIA NIH HHS U01 AG024904NIH HHS AG060747
6 · The paper itself

Abstract

backgroundMany Alzheimer's disease (AD) genetic association studies disregard age or incorrectly account for it, hampering variant discovery.

methodsUsing simulated data, we compared the statistical power of several models: logistic regression on AD diagnosis adjusted and not adjusted for age; linear regression on a score integrating case-control status and age; and multivariate Cox regression on age-at-onset. We applied these models to real exome-wide data of 11,127 sequenced individuals (54% cases) and replicated suggestive associations in 21,631 genotype-imputed individuals (51% cases).

resultsModeling variable AD risk across age results in 5-10% statistical power gain compared to logistic regression without age adjustment, while incorrect age adjustment leads to critical power loss. Applying our novel AD-age score and/or Cox regression, we discovered and replicated novel variants associated with AD on KIF21B, USH2A, RAB10, RIN3, and TAOK2 genes.

conclusionOur AD-age score provides a simple means for statistical power gain and is recommended for future AD studies.

Indexed as

Alzheimer DiseaseExomeGenetic Association StudiesGenetic Predisposition to DiseaseGenetic TestingGenome-Wide Association StudyHumansPolymorphism, Single NucleotideAge adjustmentAlzheimer’s diseaseCox regressionExome-wide associationGeneticsKIF21BRAB10RIN3TAOK2USH2AWhole-exome sequencing

Identifiers

PMID33794991
PMCPMC8017764
OpenAlexW3149537993

What OpenQuestion holds

Textmetadata
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.