Evidence map›Paper›PMID 32442411›Full record

ArticleAmerican journal of human genetics2020

Systems Genetics in Human Endothelial Cells Identifies Non-coding Variants Modifying Enhancers, Expression, and Complex Disease Traits.

Lindsey K Stolze, Austin C Conklin, Michael B Whalen, Maykel López Rodríguez, Kadri Õunap, Ilakya Selvarajan, Anu Toropainen, Tiit Örd, Jin Li, Anna Eshghi and 4 more

Open access · bronzeAbstract read
In one paragraph

Article in American journal of human genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 7% 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

31 citing papers in PubMed, 1 synthesis or guideline pooled it, 54 citations in OpenAlex.

  1. Common Variants onCirculation. Heart failure · 2023
    Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Single cell 'omic profiles of human aortic endothelial cellsbioRxiv : the preprint server for biology · 2024
    Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Review
  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

14 authors at 3 institutions in 2 countries.

Lindsey K StolzeDepartment of Cellular and Molecular Medicine, College of Medicine, University of Arizona, Tucson, AZ 85721, USA.
Austin C ConklinDepartment of Cellular and Molecular Medicine, College of Medicine, University of Arizona, Tucson, AZ 85721, USA.
Michael B WhalenDepartment of Cellular and Molecular Medicine, College of Medicine, University of Arizona, Tucson, AZ 85721, USA.
Maykel López RodríguezA.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, PO Box 1627, 70211, Kuopio, Finland.
Kadri ÕunapA.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, PO Box 1627, 70211, Kuopio, Finland.
Ilakya SelvarajanA.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, PO Box 1627, 70211, Kuopio, Finland.
Anu ToropainenA.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, PO Box 1627, 70211, Kuopio, Finland.
Tiit ÖrdA.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, PO Box 1627, 70211, Kuopio, Finland.
Jin LiSection of Pulmonary/Critical Care, Department of Medicine, University of Chicago, Chicago, IL 60637.
Anna EshghiDepartment of Cellular and Molecular Medicine, College of Medicine, University of Arizona, Tucson, AZ 85721, USA.
Alice E SolomonDepartment of Cellular and Molecular Medicine, College of Medicine, University of Arizona, Tucson, AZ 85721, USA.
Yun FangSection of Pulmonary/Critical Care, Department of Medicine, University of Chicago, Chicago, IL 60637.
Minna U KaikkonenA.I. Virtanen Institute for Molecular Sciences, University of Eastern Finland, PO Box 1627, 70211, Kuopio, Finland.
Casey E RomanoskiDepartment of Cellular and Molecular Medicine, College of Medicine, University of Arizona, Tucson, AZ 85721, USA. Electronic address: cromanoski@email.arizona.edu.
University of Arizona · USUniversity of Eastern Finland · FIUniversity of Chicago · US

Funding

SOUTHWEST ENVIRONMENTAL HEALTH SCIENCES CENTERP30ES006694 · NIEHS · UNIVERSITY OF ARIZONA · PI DEAN BILLHEIMER · 1994 to 2026
$36.7M
Training in Environmental Toxicology of Human DiseaseT32ES007091 · NIEHS · UNIVERSITY OF ARIZONA · PI Nathan J Cherrington · 1985 to 2026
$10.7M
Coronary artery disease locus 1p32.2 and miR92a-PPAP2B signaling in endothelial mechanobiologyR01HL136765 · NHLBI · UNIVERSITY OF CHICAGO · PI FANG, YUN · 2017 to 2021
$2.0M
Spatial Delivery of MicroRNA Inhibitor via Targeted Polyelectrolyte Complex Micelles to Treat Atherosclerosis.R01HL138223 · NHLBI · UNIVERSITY OF CHICAGO · PI FANG, YUN · 2017 to 2021
$2.0M
Mechanisms of ERG in Endothelial ActivationR01HL147187 · NHLBI · UNIVERSITY OF ARIZONA · PI ROMANOSKI, CASEY E · 2019 to 2023
$1.9M
Systems Genetic Analysis of Atherogenic Transcriptional Regulation in Human CellsR00HL123485 · NHLBI · UNIVERSITY OF ARIZONA · PI ROMANOSKI, CASEY E · 2016 to 2018
$740k
NHLBI NIH HHS R00 HL123485NHLBI NIH HHS R01 HL136765NHLBI NIH HHS R01 HL138223NHLBI NIH HHS R01 HL147187NIEHS NIH HHS P30 ES006694NIEHS NIH HHS T32 ES007091
6 · The paper itself

Abstract

The identification of causal variants and mechanisms underlying complex disease traits in humans is important for the progress of human disease genetics; this requires finding strategies to detect functional regulatory variants in disease-relevant cell types. To achieve this, we collected genetic and transcriptomic data from the aortic endothelial cells of up to 157 donors and four epigenomic phenotypes in up to 44 human donors representing individuals of both sexes and three major ancestries. We found thousands of expression quantitative trait loci (eQTLs) at all ranges of effect sizes not detected by the Gene-Tissue Expression Project (GTEx) in human tissues, showing that novel biological relationships unique to endothelial cells (ECs) are enriched in this dataset. Epigenetic profiling enabled discovery of over 3,000 regulatory elements whose activity is modulated by genetic variants that most frequently mutated ETS, AP-1, and NF-kB binding motifs, implicating these motifs as governors of EC regulation. Using CRISPR interference (CRISPRi), allele-specific reporter assays, and chromatin conformation capture, we validated candidate enhancer variants located up to 750 kb from their target genes, VEGFC, FGD6, and KIF26B. Regulatory SNPs identified were enriched in coronary artery disease (CAD) loci, and this result has specific implications for PECAM-1, FES, and AXL. We also found significant roles for EC regulatory variants in modifying the traits pulse pressure, blood protein levels, and monocyte count. Lastly, we present two unlinked SNPs in the promoter of MFAP2 that exhibit pleiotropic effects on human disease traits. Together, this supports the possibility that genetic predisposition for complex disease is manifested through the endothelium.

Indexed as

AllelesDiseaseEndothelial CellsEnhancer Elements, GeneticEpigenesis, GeneticFemaleGene Expression RegulationGenetic VariationHumansKinesinsMaleMutationNF-kappa BPolymorphism, Single NucleotideProto-Oncogene Protein c-ets-1Quantitative Trait LociERG protein, humanKIF26B protein, humanKinesinsNF-kappa BProto-Oncogene Protein c-ets-1Transcriptional Regulator ERGTranscription Factor AP-1Vascular Endothelial Growth Factor CVEGFC protein, humanassociation mappingcomplex diseaseendothelial cellsepigeneticsgenomics

Identifiers

PMID32442411
PMCPMC7273528
OpenAlexW3026457342

What OpenQuestion holds

Textmetadata
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.