Evidence map›Paper›PMID 24942464›Full record

ArticleBMC genomics2014

Relationship between genome and epigenome--challenges and requirements for future research.

Geneviève Almouzni, Lucia Altucci, Bruno Amati, Neil Ashley, David Baulcombe, Nathalie Beaujean, Christoph Bock, Erik Bongcam-Rudloff, Jean Bousquet, Sigurd Braun and 51 more

Abstract readLetter
In one paragraph

Article in BMC genomics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Review
  2. Observational
  3. Review
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Risk determination and prevention of breast cancer.Breast cancer research : BCR · 2014
    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

61 authors.

Geneviève Almouzni
Lucia Altucci
Bruno Amati
Neil Ashley
David Baulcombe
Nathalie Beaujean
Christoph Bock
Erik Bongcam-Rudloff
Jean Bousquet
Sigurd Braun
Brigitte Bressac-de Paillerets
Marion Bussemakers
Laura Clarke
Ana Conesa
Xavier Estivill
Alireza Fazeli
Neža Grgurević
Ivo Gut
Bastiaan T Heijmans
Sylvie Hermouet
Jeanine Houwing-Duistermaat
Ilaria Iacobucci
Janez Ilaš
Raju Kandimalla
Susanne Krauss-Etschmann
Paul Lasko
Sören Lehmann
Anders Lindroth
Gregor Majdič
Eric Marcotte
Giovanni Martinelli
Nadine Martinet
Eric Meyer
Cristina Miceli
Ken Mills
Maria Moreno-Villanueva
Ghislaine Morvan
Dörthe Nickel
Beate Niesler
Mariusz Nowacki
Jacek Nowak
Stephan Ossowski
Mattia Pelizzola
Roland Pochet
Uroš Potočnik
Magdalena Radwanska
Jeroen Raes
Magnus Rattray
Mark D Robinson
Bernard Roelen
Sascha Sauer
Dieter Schinzer
Eline Slagboom
Tim Spector
Hendrik G Stunnenberg
Ekaterini Tiligada
Maria-Elena Torres-Padilla
Roula Tsonaka
Ann Van Soom
Melita Vidaković
Martin WidschwendterDepartment of Women's Cancer, UCL Elizabeth Garrett Anderson Institute for Women's Health, University College London, 74 Huntley Street, London WC1E 6AU, UK. m.widschwendter@ucl.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the links between genetic, epigenetic and non-genetic factors throughout the lifespan and across generations and their role in disease susceptibility and disease progression offer entirely new avenues and solutions to major problems in our society. To overcome the numerous challenges, we have come up with nine major conclusions to set the vision for future policies and research agendas at the European level.

Indexed as

Epigenesis, GeneticGenomeResearchEpigenomicsGenomicsHumans

Identifiers

PMID24942464
PMCPMC4073504

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.