Evidence map›Paper›PMID 32912663›Full record

ReviewTrends in genetics : TIG2021

Where Are the Disease-Associated eQTLs?

Benjamin D Umans, Alexis Battle, Yoav Gilad

Open access · greenAbstract readReview
In one paragraph

Review in Trends in genetics : TIG, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 206 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
206citing papers in PubMed, 4 pooled it
13.9field-weighted citation impact, top 1% 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

206 citing papers in PubMed, 4 syntheses or guidelines pooled it, 332 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Genetic influences on haematopoiesis.Nature reviews. Genetics · 2026
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

146 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

3 authors at 2 institutions in 1 country.

Benjamin D UmansDepartment of Medicine, University of Chicago, Chicago, IL, USA. Electronic address: umans@uchicago.edu.
Alexis BattleDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA; Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA. Electronic address: ajbattle@jhu.edu.
Yoav GiladDepartment of Medicine, University of Chicago, Chicago, IL, USA; Department of Human Genetics, University of Chicago, Chicago, IL, USA. Electronic address: gilad@uchicago.edu.
University of Chicago · USJohns Hopkins University · US

Funding

Characterizing and Understanding Variation in Gene Regulatory Mechanisms Within and Between Species'R35GM131726 · NIGMS · UNIVERSITY OF CHICAGO · PI Yoav Gilad · 2019 to 2026
$3.7M
Methods for analysis of regulatory variation in cellular differentiationR01GM120167 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI BATTLE, ALEXIS · 2016 to 2019
$1.9M
NIGMS NIH HHS R01 GM120167NIGMS NIH HHS R35 GM131726
6 · The paper itself

Abstract

Most disease-associated variants, although located in putatively regulatory regions, do not have detectable effects on gene expression. One explanation could be that we have not examined gene expression in the cell types or conditions that are most relevant for disease. Even large-scale efforts to study gene expression across tissues are limited to human samples obtained opportunistically or postmortem, mostly from adults. In this review we evaluate recent findings and suggest an alternative strategy, drawing on the dynamic and highly context-specific nature of gene regulation. We discuss new technologies that can extend the standard regulatory mapping framework to more diverse, disease-relevant cell types and states.

Indexed as

AnimalsGene ExpressionGene Expression RegulationGenetic Predisposition to DiseaseHumansQuantitative Trait LociRegulatory Sequences, Nucleic Acidcomplex traitsdynamic gene regulationeQTLGTeXGWASQTL mapping

Identifiers

PMID32912663
PMCPMC8162831
OpenAlexW3083216853

What OpenQuestion holds

Textmetadata
LicenceTDM
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.