Evidence map›Paper›PMID 17989246›Full record

ArticleGenome research2007

Targeted discovery of novel human exons by comparative genomics.

Adam Siepel, Mark Diekhans, Brona Brejová, Laura Langton, Michael Stevens, Charles L G Comstock, Colleen Davis, Brent Ewing, Shelly Oommen, Christopher Lau and 8 more

Abstract readComparative StudyValidation Study
In one paragraph

Article in Genome research, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Article
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  3. Article
  4. Review
  5. Article
  6. The Genome 10K Project: a way forward.Annual review of animal biosciences · 2015
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
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  16. Article
  17. The evolution of epitype.The Plant cell · 2010
    Article
  18. Article
  19. Review
  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

18 authors.

Adam SiepelDepartment of Biological Statistics and Computational Biology, Cornell University, Ithaca, New York 14853, USA. acs4@cornell.edu
Mark Diekhans
Brona Brejová
Laura Langton
Michael Stevens
Charles L G Comstock
Colleen Davis
Brent Ewing
Shelly Oommen
Christopher Lau
Hung-Chun Yu
Jianfeng Li
Bruce A Roe
Phil Green
Daniela S Gerhard
Gary Temple
David Haussler
Michael R Brent

Funding

NCI NIH HHS N01 CO012400NCI NIH HHS N01-CO-12400
6 · The paper itself

Abstract

A complete and accurate set of human protein-coding gene annotations is perhaps the single most important resource for genomic research after the human-genome sequence itself, yet the major gene catalogs remain incomplete and imperfect. Here we describe a genome-wide effort, carried out as part of the Mammalian Gene Collection (MGC) project, to identify human genes not yet in the gene catalogs. Our approach was to produce gene predictions by algorithms that rely on comparative sequence data but do not require direct cDNA evidence, then to test predicted novel genes by RT-PCR. We have identified 734 novel gene fragments (NGFs) containing 2188 exons with, at most, weak prior cDNA support. These NGFs correspond to an estimated 563 distinct genes, of which >160 are completely absent from the major gene catalogs, while hundreds of others represent significant extensions of known genes. The NGFs appear to be predominantly protein-coding genes rather than noncoding RNAs, unlike novel transcribed sequences identified by technologies such as tiling arrays and CAGE. They tend to be expressed at low levels and in a tissue-specific manner, and they are enriched for roles in motor activity, cell adhesion, connective tissue, and central nervous system development. Our results demonstrate that many important genes and gene fragments have been missed by traditional approaches to gene discovery but can be identified by their evolutionary signatures using comparative sequence data. However, they suggest that hundreds-not thousands-of protein-coding genes are completely missing from the current gene catalogs.

Indexed as

GenomicsAnimalsBase SequenceChickensComputational BiologyExonsExpressed Sequence TagsGenome, HumanHumansMicePredictive Value of TestsRatsReverse Transcriptase Polymerase Chain ReactionZebrafish

Identifiers

PMID17989246
PMCPMC2099585

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.