Evidence map›Paper›PMID 35436980›Full record

ArticleTranslational psychiatry2022

Allele-specific analysis reveals exon- and cell-type-specific regulatory effects of Alzheimer's disease-associated genetic variants.

Liang He, Yury Loika, Alexander M Kulminski

Open access · goldAbstract read
In one paragraph

Article in Translational psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

17 citing papers in PubMed, 25 citations in OpenAlex.

  1. Allele specific expression in Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
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  5. Article
  6. Review
  7. Whole exome sequencing analyses identified novel genes for Alzheimer's disease and related dementia.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
    Article
  8. Article
  9. Cell type-specific functions of Alzheimer's disease endocytic risk genes.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Review
  10. Review
  11. Article
  12. Expression ofGenes · 2023
    Article
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  16. Article
  17. Review
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

3 authors at 1 institution in 1 country.

Liang HeBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC, USA. lh235@duke.edu.ORCID 0000-0001-6711-2021
Yury LoikaBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC, USA.
Alexander M KulminskiBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC, USA. alexander.kulminski@duke.edu.
Social Science Research Council · US

Funding

Vascular Structure and Function in Cognitive AgingP01AG003949 · NIA · YESHIVA UNIVERSITY · PI Charles B Hall · 1985 to 2026
$73.9M
SUPPLEMENT TO ALZHEIMERS DISEASE PATIENT REGISTRYU01AG006786 · NIA · MAYO CLINIC ROCHESTER · PI GRAFF-RADFORD, JONATHAN, JACK, CLIFFORD R. · 1986 to 2023
$49.6M
THE PGRN/TDP-43 AXIS IN ALZHEIMER?S DISEASE AND NEURODEGENERATIONP50AG016574 · NIA · MAYO CLINIC ROCHESTER · PI PETERSEN, RONALD C · 1999 to 2018
$36.9M
Research Education ComponentP30AG019610 · NIA · SUN HEALTH RESEARCH INSTITUTE · PI REIMAN, ERIC MICHAEL · 2001 to 2020
$32.5M
Integrating the exposome and methylome to inform brain molecular changes in ADRD across established diverse cohorts.U01AG046139 · NIA · UNIVERSITY OF FLORIDA · PI ERTEKIN-TANER, NILUFER, FUNK, CORY · 2013 to 2022
$24.6M
TRANSGENIC MODELING OF TAUOPATHYP01AG017216 · NIA · MAYO CLINIC JACKSONVILLE · PI DICKSON, DENNIS WILLIAM · 1999 to 2011
$12.0M
PREDICTORS OF THE RATE OF COGNITIVE DECLINE IN ELDERLY SUBJECTSP50AG025711 · NIA · UNIVERSITY OF SOUTH FLORIDA · PI POTTER, HUNTINGTON · 2005 to 2010
$8.2M
National Brain and Tissue Resource for Parkinson's Disease and Related DisordersU24NS072026 · NINDS · BANNER SUN HEALTH RESEARCH INSTITUTE · PI BEACH, THOMAS G · 2011 to 2015
$7.8M
ApoE2 and protective molecular signatures in Alzheimer's disease and agingR01AG061853 · NIA · DUKE UNIVERSITY · PI KULMINSKI, ALEXANDER M · 2018 to 2022
$3.9M
Personalized genetic profiles of risk and resilience in Alzheimer's and vascular diseasesR01AG065477 · NIA · DUKE UNIVERSITY · PI KULMINSKI, ALEXANDER M · 2020 to 2024
$3.8M
PLASMA A BETA AS A SURROGATE GENETIC MARKER FOR LOADR01AG018023 · NIA · MAYO CLINIC JACKSONVILLE · PI YOUNKIN, STEVEN G · 2001 to 2012
$3.3M
Dissecting genetic and non-genetic heterogeneity in predisposition to Alzheimer's disease and vascular traits in pleiotropic contextR01AG070488 · NIA · DUKE UNIVERSITY · PI KULMINSKI, ALEXANDER M, OUKRAINTSEVA, SVETLANA V. · 2020 to 2024
$2.8M
NIA NIH HHS P01 AG003949NIA NIH HHS P01 AG017216NIA NIH HHS P30 AG019610NIA NIH HHS P50 AG016574NIA NIH HHS P50 AG025711NIA NIH HHS R01 AG018023NIA NIH HHS R01 AG032990NIA NIH HHS R01 AG061853NIA NIH HHS R01 AG065477NIA NIH HHS R01 AG070488NIA NIH HHS U01 AG006786NIA NIH HHS U01 AG046139NINDS NIH HHS R01 NS080820NINDS NIH HHS U24 NS072026
6 · The paper itself

Abstract

Elucidating regulatory effects of Alzheimer's disease (AD)-associated genetic variants is critical for unraveling their causal pathways and understanding the pathology. However, their cell-type-specific regulatory mechanisms in the brain remain largely unclear. Here, we conducted an analysis of allele-specific expression quantitative trait loci (aseQTLs) for 33 AD-associated variants in four brain regions and seven cell types using ~3000 bulk RNA-seq samples and >0.25 million single nuclei. We first develop a flexible hierarchical Poisson mixed model (HPMM) and demonstrate its superior statistical power to a beta-binomial model achieved by unifying samples in both allelic and genotype-level expression data. Using the HPMM, we identified 24 (~73%) aseQTLs in at least one brain region, including three new eQTLs associated with CA12, CHRNE, and CASS4. Notably, the APOE ε4 variant reduces APOE expression across all regions, even in AD-unaffected controls. Our results reveal region-dependent and exon-specific effects of multiple aseQTLs, such as rs2093760 with CR1, rs7982 with CLU, and rs3865444 with CD33. In an attempt to pinpoint the cell types responsible for the observed tissue-level aseQTLs using the snRNA-seq data, we detected many aseQTLs in microglia or monocytes associated with immune-related genes, including HLA-DQB1, HLA-DQA2, CD33, FCER1G, MS4A6A, SPI1, and BIN1, highlighting the regulatory role of AD-associated variants in the immune response. These findings provide further insights into potential causal pathways and cell types mediating the effects of the AD-associated variants.

Indexed as

Alzheimer DiseaseAllelesExonsGenetic Predisposition to DiseaseHumansPolymorphism, Single NucleotideQuantitative Trait Loci

Identifiers

PMID35436980
PMCPMC9016079
OpenAlexW4225511818

What OpenQuestion holds

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Registered trials

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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.