Evidence map›Paper›PMID 33907181›Full record

ArticleTranslational psychiatry2021

Cell-type-specific expression quantitative trait loci associated with Alzheimer disease in blood and brain tissue.

Devanshi Patel, Xiaoling Zhang, John J Farrell, Jaeyoon Chung, Thor D Stein, Kathryn L Lunetta, Lindsay A Farrer

Open access · goldAbstract read
In one paragraph

Article in Translational psychiatry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
6.8field-weighted citation impact, top 3% 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

37 citing papers in PubMed, 50 citations in OpenAlex.

  1. Article
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  6. aBIOTECH · 2025
    Review
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  13. bioRxiv : the preprint server for biology · 2024
    Article
  14. Article
  15. Review
  16. Article
  17. eQTL studies: from bulk tissues to single cells.Journal of genetics and genomics = Yi chuan xue bao · 2023
    Review
  18. Article
  19. Methods and Insights from Single-Cell Expression Quantitative Trait Loci.Annual review of genomics and human genetics · 2023
    Review
  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

7 authors at 1 institution in 1 country.

Devanshi PatelBioinformatics Graduate Program, Boston University, Boston, MA, USA.
Xiaoling ZhangDepartment of Medicine (Biomedical Genetics), Boston University School of Medicine, Boston, MA, USA.
John J FarrellDepartment of Medicine (Biomedical Genetics), Boston University School of Medicine, Boston, MA, USA.
Jaeyoon ChungDepartment of Medicine (Biomedical Genetics), Boston University School of Medicine, Boston, MA, USA.ORCID http://orcid.org/0000-0002-6431-9454
Thor D SteinDepartment of Pathology & Laboratory Medicine, Boston University School of Medicine, Boston, MA, USA.
Kathryn L LunettaDepartment of Biostatistics, Boston University School of Public Health, Boston, MA, USA.ORCID http://orcid.org/0000-0002-9268-810X
Lindsay A FarrerBioinformatics Graduate Program, Boston University, Boston, MA, USA. farrer@bu.edu.ORCID http://orcid.org/0000-0001-5533-4225
Boston University · US

Funding

Alzheimer's Disease Genetics ConsortiumU01AG032984 · NIA · UNIVERSITY OF PENNSYLVANIA · PI SCHELLENBERG, GERARD DAVID · 2009 to 2024
$60.4M
SUPPLEMENT TO RUSH ALZHEIMERS DISEASE CENTER COREP30AG010161 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BENNETT, DAVID ALAN · 1991 to 2020
$49.1M
EPIDEMIOLOGY OF NEURAL RESERVE AND NEUROBIOLOGY IN AGINGR01AG017917 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BENNETT, DAVID ALAN · 2001 to 2023
$43.3M
TBDU19AG068753 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI Rhoda Au · 2020 to 2026
$42.4M
FRAMINGHAM HEART STUDY - YEAR 5 EXAM75N92019D00031 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI RAMACHANDRAN, VASAN · 2019 to 2024
$29.8M
Neuropathology CoreP30AG013846 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI KOWALL, NEIL W. · 1996 to 2020
$29.1M
RISK FACTORS, PATHOLOGY, AND CLINICAL EXPRESSIONS OF ADR01AG015819 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BENNETT, DAVID ALAN · 1998 to 2024
$21.4M
The Alzheimer Disease Sequence Analysis CollaborativeU01AG058654 · NIA · CASE WESTERN RESERVE UNIVERSITY · PI BUSH, WILLIAM S, FARRER, LINDSAY A. · 2018 to 2022
$14.6M
Pathway discovery, validation and compound identification for Alzheimer's disease - SupplementU01AG046152 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BENNETT, DAVID ALAN, DE JAGER, PHILIP L · 2013 to 2017
$13.6M
Genetic Studies of Alzheimer Disease in KoreansU01AG062602 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI FARRER, LINDSAY A. · 2019 to 2023
$9.5M
Genetic Epidemiology of Cognitive Decline in an Aging Population SampleR01AG030146 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI EVANS, DENIS A · 2007 to 2018
$6.2M
Capturing the molecular complexity of Alzheimer's disease through the lens of RNA binding proteinsRF1AG056318 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI LI, HU, WOLOZIN, BENJAMIN L · 2018 to 2020
$4.4M
NHLBI NIH HHS 75N92019D00031NHLBI NIH HHS HHSN268201000011CNHLBI NIH HHS HHSN268201500001CNHLBI NIH HHS HHSN268201500001INHLBI NIH HHS HHSN268201500011CNIA NIH HHS P30 AG010161NIA NIH HHS P30 AG013846NIA NIH HHS R01 AG015819NIA NIH HHS R01 AG017917NIA NIH HHS R01 AG030146NIA NIH HHS R01 AG036836NIA NIH HHS R01 AG064932NIA NIH HHS RF1 AG056318NIA NIH HHS RF1 AG057519NIA NIH HHS U01 AG032984NIA NIH HHS U01 AG046152NIA NIH HHS U01 AG058654NIA NIH HHS U01 AG062602NIA NIH HHS U01 AG072577NIA NIH HHS U19 AG068753
6 · The paper itself

Abstract

Because regulation of gene expression is heritable and context-dependent, we investigated AD-related gene expression patterns in cell types in blood and brain. Cis-expression quantitative trait locus (eQTL) mapping was performed genome-wide in blood from 5257 Framingham Heart Study (FHS) participants and in brain donated by 475 Religious Orders Study/Memory & Aging Project (ROSMAP) participants. The association of gene expression with genotypes for all cis SNPs within 1 Mb of genes was evaluated using linear regression models for unrelated subjects and linear-mixed models for related subjects. Cell-type-specific eQTL (ct-eQTL) models included an interaction term for the expression of "proxy" genes that discriminate particular cell type. Ct-eQTL analysis identified 11,649 and 2533 additional significant gene-SNP eQTL pairs in brain and blood, respectively, that were not detected in generic eQTL analysis. Of note, 386 unique target eGenes of significant eQTLs shared between blood and brain were enriched in apoptosis and Wnt signaling pathways. Five of these shared genes are established AD loci. The potential importance and relevance to AD of significant results in myeloid cell types is supported by the observation that a large portion of GWS ct-eQTLs map within 1 Mb of established AD loci and 58% (23/40) of the most significant eGenes in these eQTLs have previously been implicated in AD. This study identified cell-type-specific expression patterns for established and potentially novel AD genes, found additional evidence for the role of myeloid cells in AD risk, and discovered potential novel blood and brain AD biomarkers that highlight the importance of cell-type-specific analysis.

Indexed as

Alzheimer DiseaseQuantitative Trait LociBrainGene Expression RegulationGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansPolymorphism, Single Nucleotide

Identifiers

PMID33907181
PMCPMC8079392
OpenAlexW3157957864

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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.