Evidence map›Paper›PMID 37161089›Full record

ReviewNature reviews. Genetics2023

Interpreting non-coding disease-associated human variants using single-cell epigenomics.

Kyle J Gaulton, Sebastian Preissl, Bing Ren

Open access · greenAbstract readReview
In one paragraph

Review in Nature reviews. Genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
10.2field-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

44 citing papers in PubMed, 66 citations in OpenAlex.

  1. Article
  2. Article
  3. Germline whole-exome sequencing identifies CTNND1 as a candidate gene for hereditary gastric cancer in a large Brazilian cohort.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2026
    Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Cardiac epigenome in heart development and disease.Nature reviews. Cardiology · 2026
    Review
  10. Article
  11. Article
  12. Genetic analysis of neurodegenerative diseases.The Journal of clinical investigation · 2026
    Review
  13. Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. 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 3 institutions in 3 countries.

Kyle J GaultonDepartment of Paediatrics, Paediatric Diabetes Research Center, University of California San Diego School of Medicine, La Jolla, CA, USA. kgaulton@health.ucsd.edu.
Sebastian PreisslCenter for Epigenomics, University of California San Diego School of Medicine, La Jolla, CA, USA. sebastian.preissl@pharmakol.uni-freiburg.de.ORCID 0000-0001-8971-5616
Bing RenCenter for Epigenomics, University of California San Diego School of Medicine, La Jolla, CA, USA. biren@health.ucsd.edu.ORCID 0000-0002-5435-1127
Ludwig Cancer Research · BEUniversity of California San Diego · USUniversity of Freiburg · DE

Funding

Center for Multiomic Human Brain Cell AtlasUM1MH130994 · NIMH · SALK INSTITUTE FOR BIOLOGICAL STUDIES · PI MARIA MARGARITA BEHRENS, Joseph R Ecker · 2022 to 2026
$92.4M
Molecular SignaturesU19MH114831 · NIMH · SALK INSTITUTE FOR BIOLOGICAL STUDIES · PI CALLAWAY, EDWARD M, ECKER, JOSEPH R · 2017 to 2021
$24.6M
The next iteration of the AMP-T2D Knowledge PortalUM1DK105554 · NIDDK · BROAD INSTITUTE, INC. · PI BOEHNKE, MICHAEL L, BURTT, NOEL P · 2020 to 2025
$18.5M
Proposal for the AMP T2D-GENES Data Coordination Center and Web PortalU01DK105554 · NIDDK · BROAD INSTITUTE, INC. · PI FLOREZ, JOSE CARLOS · 2015 to 2019
$16.8M
Center for Mammalian Regulatory GenomicsU54HG006997 · NHGRI · LUDWIG INSTITUTE FOR CANCER RES LTD · PI REN, BING · 2012 to 2016
$14.3M
Spatial Mapping Senescent Cells Across the Mouse Lifespan by Multiplex Transcriptomics and EpigenomicsU54AG079758 · NIA · SANFORD BURNHAM PREBYS MEDICAL DISCOVERY INSTITUTE · PI PETER D. ADAMS, Bing Ren · 2022 to 2026
$12.1M
High throughput CRISPR-mediated functional validation of regulatory elementsUM1HG009402 · NHGRI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI REN, BING, SHEN, YIN · 2017 to 2021
$8.4M
Single-cell transcriptomic and epigenomic analysis of brain cell vulnerabilities to tauopathies in early AD impacted brain regionsR01AG082127 · NIA · UNIVERSITY OF CALIFORNIA-IRVINE · PI MICHAEL D KOOB, Bing Ren · 2023 to 2026
$8.1M
The impact of genomic variation on environment-induced changes in pancreatic beta cell statesU01HG012059 · NHGRI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Hannah Kathryn Carter, Kyle Jeffrie Gaulton · 2021 to 2026
$7.5M
Center for Integrated Multi-modal and Multi-scale Nucleome ResearchUM1HG011585 · NHGRI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DULAC, CATHERINE, LEIN, ED · 2020 to 2024
$6.7M
Epigenomic cell-type classification and regulatory element identification in the human brainU01MH121282 · NIMH · SALK INSTITUTE FOR BIOLOGICAL STUDIES · PI BEHRENS, M MARGARITA, ECKER, JOSEPH R · 2019 to 2021
$5.4M
Comparative Single-Cell Epigenomic Analysis of AD-like Pathogenesis in Unconventional Animal ModelsR24AG073198 · NIA · UNIVERSITY OF CALIFORNIA-IRVINE · PI REN, BING, XU, XIANGMIN · 2021 to 2024
$4.8M
NEI NIH HHS R01 EY031663NHGRI NIH HHS U01 HG012059NHGRI NIH HHS U54 HG006997NHGRI NIH HHS UM1 HG009402NHGRI NIH HHS UM1 HG011585NIA NIH HHS R01 AG066018NIA NIH HHS R01 AG067153NIA NIH HHS R01 AG082127NIA NIH HHS R24 AG073198NIA NIH HHS R56 AG069107NIA NIH HHS U54 AG079758NIDA NIH HHS U01 DA052769NIDDK NIH HHS R01 DK114650NIDDK NIH HHS R01 DK122607NIDDK NIH HHS U01 DK105554NIDDK NIH HHS U01 DK120429NIDDK NIH HHS UM1 DK105554NIMH NIH HHS R41 MH128993NIMH NIH HHS RF1 MH124612NIMH NIH HHS RF1 MH128838NIMH NIH HHS U01 MH121282NIMH NIH HHS U19 MH114831NIMH NIH HHS UM1 MH130994
6 · The paper itself

Abstract

Genome-wide association studies (GWAS) have linked hundreds of thousands of sequence variants in the human genome to common traits and diseases. However, translating this knowledge into a mechanistic understanding of disease-relevant biology remains challenging, largely because such variants are predominantly in non-protein-coding sequences that still lack functional annotation at cell-type resolution. Recent advances in single-cell epigenomics assays have enabled the generation of cell type-, subtype- and state-resolved maps of the epigenome in heterogeneous human tissues. These maps have facilitated cell type-specific annotation of candidate cis-regulatory elements and their gene targets in the human genome, enhancing our ability to interpret the genetic basis of common traits and diseases.

Indexed as

EpigenomicsGenome-Wide Association StudyGenome, HumanHumansPhenotypePolymorphism, Single NucleotideRegulatory Sequences, Nucleic Acid

Identifiers

PMID37161089
PMCPMC10629587
OpenAlexW4376114761

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.