Evidence map›Paper›PMID 39975189›Full record

ArticlebioRxiv : the preprint server for biology2025

Haplotype rather than single causal variants effects contribute to regulatory gene expression associations in human myeloid cells.

Emily Greenwood, Mingming Cao, Ciaran M Lee, Aidi Liu, Buhle Moyo, Gang Bao, Greg Gibson

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Emily GreenwoodSchool of Biological Sciences, Georgia Institute of Technology, Atlanta GA 30332, USA.ORCID 0000-0002-3181-8011
Mingming CaoDepartment of Bioengineering, Rice University, Houston TX 77005, USA.ORCID 0000-0002-4234-1175
Ciaran M LeeSchool of Biochemistry and Cell Biology, University College Cork, Cork, Ireland.ORCID 0000-0002-0789-9149
Aidi LiuDepartment of Bioengineering, Rice University, Houston TX 77005, USA.ORCID 0009-0002-5574-195X
Buhle MoyoDepartment of Bioengineering, Rice University, Houston TX 77005, USA.ORCID 0000-0003-3582-2074
Gang BaoDepartment of Bioengineering, Rice University, Houston TX 77005, USA.ORCID 0000-0001-5501-554X
Greg GibsonSchool of Biological Sciences, Georgia Institute of Technology, Atlanta GA 30332, USA.ORCID 0000-0002-5352-5877

Funding

Precision mapping of regulatory causal variants by expression CROPseqR01HG011459 · NHGRI · GEORGIA INSTITUTE OF TECHNOLOGY · PI BAO, GANG, GIBSON, GREGORY C · 2021 to 2025
$3.5M
NHGRI NIH HHS R01 HG011459
6 · The paper itself

Abstract

Genome-wide association studies typically identify hundreds to thousands of loci, many of which harbor multiple independent peaks, each parsimoniously assumed to be due to the activity of a single causal variant. Fine-mapping of such variants has become a priority and since most associations are located within regulatory regions, it is also assumed that they colocalize with regulatory variants that influence the expression of nearby genes. Here we examine these assumptions by using a moderate throughput expression CROPseq protocol in which Cas9 nuclease is used to induce small insertions and deletions across the credible set of SNPs that may account for expression quantitative trait loci (eQTL) for genes associated with inflammatory bowel disease (IBD). Of the 4,384 SNPs targeted in 88 loci (an average of 50 per locus), 439 were significant and further examined for validation. From these, 98 significantly altered target gene expression in HL-60 myeloid cell line, 74 in induced macrophages from these HL-60 cells, and 78 in induced neutrophils for a total of 201 validated effects (46%), 43 of which were observed in at least two of the cell types. Considering the observed sensitivity and specificity of the controls, we estimate that there are at least 150 true positives per cell type, an average of almost 2.4 for each of the 64 eQTL for which putative causal variants have been fine-mapped. This implies that haplotype effects are likely to explain many of the associations. We also demonstrate that the same approach can be used to investigate the activity of very rare variants in regulatory regions for 89 genes, providing a rapid strategy for establishing clinical relevance of non-coding mutations.

Identifiers

PMID39975189
PMCPMC11838257

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.