Evidence map›Paper›PMID 16769978›Full record

ArticleGenome research2006

Close sequence comparisons are sufficient to identify human cis-regulatory elements.

Shyam Prabhakar, Francis Poulin, Malak Shoukry, Veena Afzal, Edward M Rubin, Olivier Couronne, Len A Pennacchio

Open access · greenAbstract readComparative Study
In one paragraph

Article in Genome research, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 121 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
121citing papers in PubMed, 1 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

121 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Review
  6. Review
  7. Article
  8. Review
  9. Article
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  11. Investigating transcription factor synergism in humans.DNA research : an international journal for rapid publication of reports on genes and genomes · 2018
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Origin and evolution of developmental enhancers in the mammalian neocortex.Proceedings of the National Academy of Sciences of the United States of America · 2016
    Article
  18. Review
  19. Can a few non-coding mutations make a human brain?BioEssays : news and reviews in molecular, cellular and developmental biology · 2015
    Article
  20. Article

61 more citing papers are in PubMed but not listed here.

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

7 authors at 1 institution in 1 country.

Shyam PrabhakarGenomics Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA. SPrabhakar@lbl.gov
Francis Poulin
Malak Shoukry
Veena Afzal
Edward M Rubin
Olivier Couronne
Len A Pennacchio
Lawrence Berkeley National Laboratory · US

Funding

Comparative Genomic Resources for CV ResearchU01HL066681 · NHLBI · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI RUBIN, EDWARD M · 2000 to 2007
$14.1M
NHLBI NIH HHS HL066681NHLBI NIH HHS U01 HL066681
6 · The paper itself

Abstract

Cross-species DNA sequence comparison is the primary method used to identify functional noncoding elements in human and other large genomes. However, little is known about the relative merits of evolutionarily close and distant sequence comparisons. To address this problem, we identified evolutionarily conserved noncoding regions in primate, mammalian, and more distant comparisons using a uniform approach (Gumby) that facilitates unbiased assessment of the impact of evolutionary distance on predictive power. We benchmarked computational predictions against previously identified cis-regulatory elements at diverse genomic loci and also tested numerous extremely conserved human-rodent sequences for transcriptional enhancer activity using an in vivo enhancer assay in transgenic mice. Human regulatory elements were identified with acceptable sensitivity (53%-80%) and true-positive rate (27%-67%) by comparison with one to five other eutherian mammals or six other simian primates. More distant comparisons (marsupial, avian, amphibian, and fish) failed to identify many of the empirically defined functional noncoding elements. Our results highlight the practical utility of close sequence comparisons, and the loss of sensitivity entailed by more distant comparisons. We derived an intuitive relationship between ancient and recent noncoding sequence conservation from whole-genome comparative analysis that explains most of the observations from empirical benchmarking. Lastly, we determined that, in addition to strength of conservation, genomic location and/or density of surrounding conserved elements must also be considered in selecting candidate enhancers for in vivo testing at embryonic time points.

Indexed as

Enhancer Elements, GeneticGenome, HumanRegulatory Sequences, Nucleic AcidAnimalsBase SequenceChromosomes, Human, Pair 16Computational BiologyConserved SequenceDNAEvolution, MolecularEye ProteinsHumansMiceMice, TransgenicPredictive Value of TestsProtein Structure, TertiaryDACH1 protein, humanDach1 protein, mouseDNAEye ProteinsTranscription Factors

Identifiers

PMID16769978
PMCPMC1484452
OpenAlexW267555217

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.