Evidence map›Paper›PMID 37289818›Full record

ArticlePLoS genetics2023

Mapping genetic effects on cell type-specific chromatin accessibility and annotating complex immune trait variants using single nucleus ATAC-seq in peripheral blood.

Paola Benaglio, Jacklyn Newsome, Jee Yun Han, Joshua Chiou, Anthony Aylward, Sierra Corban, Michael Miller, Mei-Lin Okino, Jaspreet Kaur, Sebastian Preissl and 2 more

Open access · goldAbstract read
In one paragraph

Article in PLoS genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
6.5field-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

43 citing papers in PubMed, 46 citations in OpenAlex.

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  9. ModelingbioRxiv : the preprint server for biology · 2026
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  20. Hybrids reveal accessible chromatinbioRxiv : the preprint server for biology · 2025
    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

12 authors at 1 institution in 1 country.

Paola BenaglioDepartment of Pediatrics, University of California San Diego, San Diego, California, United States of America.
Jacklyn NewsomeBioinformatics and Systems Biology Program, University of California San Diego, San Diego, California, United States of America.
Jee Yun HanCenter for Epigenomics, Department of Cellular and Molecular Medicine, University of California San Diego, San Diego, California, United States of America.
Joshua ChiouBiomedical Sciences Graduate Program. University of California San Diego, San Diego, California, United States of America.
Anthony AylwardBioinformatics and Systems Biology Program, University of California San Diego, San Diego, California, United States of America.
Sierra CorbanDepartment of Pediatrics, University of California San Diego, San Diego, California, United States of America.
Michael MillerCenter for Epigenomics, Department of Cellular and Molecular Medicine, University of California San Diego, San Diego, California, United States of America.
Mei-Lin OkinoDepartment of Pediatrics, University of California San Diego, San Diego, California, United States of America.
Jaspreet KaurDepartment of Pediatrics, University of California San Diego, San Diego, California, United States of America.
Sebastian PreisslCenter for Epigenomics, Department of Cellular and Molecular Medicine, University of California San Diego, San Diego, California, United States of America.
David U GorkinCenter for Epigenomics, Department of Cellular and Molecular Medicine, University of California San Diego, San Diego, California, United States of America.
Kyle J GaultonDepartment of Pediatrics, University of California San Diego, San Diego, California, United States of America.ORCID 0000-0003-1318-7161
University of California San Diego · US

Funding

Genetic mechanisms of type 1 diabetes risk in stress-induced pancreatic isletsR01DK122607 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI GAULTON, KYLE JEFFRIE · 2019 to 2022
$4.4M
Fine-mapping and functional analysis of T1D-associated variantsDP3DK112155 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI FRAZER, KELLY A, SANDER, MAIKE · 2016 to 2016
$3.3M
Single cell analysis of the human pancreas in type 1 diabetesU01DK120429 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI GAULTON, KYLE JEFFRIE, SANDER, MAIKE · 2018 to 2021
$3.1M
UC San Diego Genetics Training ProgramT32GM145427 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BRUCE A HAMILTON · 2022 to 2026
$2.6M
NIDDK NIH HHS DP3 DK112155NIDDK NIH HHS R01 DK122607NIDDK NIH HHS U01 DK120429NIGMS NIH HHS T32 GM145427
6 · The paper itself

Abstract

Gene regulation is highly cell type-specific and understanding the function of non-coding genetic variants associated with complex traits requires molecular phenotyping at cell type resolution. In this study we performed single nucleus ATAC-seq (snATAC-seq) and genotyping in peripheral blood mononuclear cells from 13 individuals. Clustering chromatin accessibility profiles of 96,002 total nuclei identified 17 immune cell types and sub-types. We mapped chromatin accessibility QTLs (caQTLs) in each immune cell type and sub-type using individuals of European ancestry which identified 6,901 caQTLs at FDR < .10 and 4,220 caQTLs at FDR < .05, including those obscured from assays of bulk tissue such as with divergent effects on different cell types. For 3,941 caQTLs we further annotated putative target genes of variant activity using single cell co-accessibility, and caQTL variants were significantly correlated with the accessibility level of linked gene promoters. We fine-mapped loci associated with 16 complex immune traits and identified immune cell caQTLs at 622 candidate causal variants, including those with cell type-specific effects. At the 6q15 locus associated with type 1 diabetes, in line with previous reports, variant rs72928038 was a naïve CD4+ T cell caQTL linked to BACH2 and we validated the allelic effects of this variant on regulatory activity in Jurkat T cells. These results highlight the utility of snATAC-seq for mapping genetic effects on accessible chromatin in specific cell types.

Indexed as

ChromatinChromatin Immunoprecipitation SequencingHumansLeukocytes, MononuclearMultifactorial InheritanceQuantitative Trait LociChromatin

Identifiers

PMID37289818
PMCPMC10298776
OpenAlexW4379928586

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.