Evidence map›Paper›PMID 23570689›Full record

ArticleGenome research2013

Maps of open chromatin highlight cell type-restricted patterns of regulatory sequence variation at hematological trait loci.

Dirk S Paul, Cornelis A Albers, Augusto Rendon, Katrin Voss, Jonathan Stephens, HaemGen Consortium, Pim van der Harst, John C Chambers, Nicole Soranzo, Willem H Ouwehand and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Genome research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 2 pooled it
–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

27 citing papers in PubMed, 2 syntheses or guidelines pooled it, 39 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Cyclin A2 regulates erythrocyte morphology and numbers.Cell cycle (Georgetown, Tex.) · 2016
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. In-silico QTL mapping of postpubertal mammary ductal development in the mouse uncovers potential human breast cancer risk loci.Mammalian genome : official journal of the International Mammalian Genome Society · 2015
    Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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

11 authors at 4 institutions in 2 countries.

Dirk S PaulWellcome Trust Sanger Institute, Hinxton, Cambridge CB10 1SA, United Kingdom. d.paul@ucl.ac.uk
Cornelis A Albers
Augusto Rendon
Katrin Voss
Jonathan Stephens
HaemGen Consortium
Pim van der Harst
John C Chambers
Nicole Soranzo
Willem H Ouwehand
Panos Deloukas
National Health Service · GBWellcome Sanger Institute · GBImperial College Healthcare NHS Trust · GBUniversity Medical Center Groningen · NL

Funding

British Heart Foundation RG/08/014/24067British Heart Foundation RG/09/012/28096British Heart Foundation RG/09/12/28096Department of Health RP-PG-0310-1002Medical Research Council MR/L003120/1Wellcome Trust 097117Wellcome Trust 098051
6 · The paper itself

Abstract

Nearly three-quarters of the 143 genetic signals associated with platelet and erythrocyte phenotypes identified by meta-analyses of genome-wide association (GWA) studies are located at non-protein-coding regions. Here, we assessed the role of candidate regulatory variants associated with cell type-restricted, closely related hematological quantitative traits in biologically relevant hematopoietic cell types. We used formaldehyde-assisted isolation of regulatory elements followed by next-generation sequencing (FAIRE-seq) to map regions of open chromatin in three primary human blood cells of the myeloid lineage. In the precursors of platelets and erythrocytes, as well as in monocytes, we found that open chromatin signatures reflect the corresponding hematopoietic lineages of the studied cell types and associate with the cell type-specific gene expression patterns. Dependent on their signal strength, open chromatin regions showed correlation with promoter and enhancer histone marks, distance to the transcription start site, and ontology classes of nearby genes. Cell type-restricted regions of open chromatin were enriched in sequence variants associated with hematological indices. The majority (63.6%) of such candidate functional variants at platelet quantitative trait loci (QTLs) coincided with binding sites of five transcription factors key in regulating megakaryopoiesis. We experimentally tested 13 candidate regulatory variants at 10 platelet QTLs and found that 10 (76.9%) affected protein binding, suggesting that this is a frequent mechanism by which regulatory variants influence quantitative trait levels. Our findings demonstrate that combining large-scale GWA data with open chromatin profiles of relevant cell types can be a powerful means of dissecting the genetic architecture of closely related quantitative traits.

Indexed as

Chromatin Assembly and DisassemblyGenetic VariationQuantitative Trait, HeritableQuantitative Trait LociRegulatory Sequences, Nucleic AcidBlood PlateletsCell LineageChromatinChromosome MappingCluster AnalysisErythrocytesGene Expression RegulationGenome-Wide Association StudyHistonesHumansMyeloid CellsChromatinHistonesNucleosomes

Identifiers

PMID23570689
PMCPMC3698506
OpenAlexW2163370948

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.