Evidence map›Paper›PMID 14678488›Full record

ReviewThe Journal of physiology2004

Comparative genomic analysis as a tool for biological discovery.

Marcelo A Nobrega, Len A Pennacchio

Abstract readReview
In one paragraph

Review in The Journal of physiology, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing 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

44 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  7. Imaging Intron Evolution.Methods and protocols · 2022
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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

2 authors.

Marcelo A NobregaGenome Sciences Department, Lawrence Berkeley National Laboratory, One Cyclotron Road, Berkeley, CA 94720, USA.
Len A Pennacchio

Funding

Comparative Genomic Resources for CV ResearchU01HL066681 · NHLBI · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI RUBIN, EDWARD M · 2000 to 2007
$14.1M
Genetic and Genomic Analysis of apoAVR01HL071954 · NHLBI · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI PENNACCHIO, LEN ALEXANDER · 2003 to 2006
$2.2M
NHLBI NIH HHS HL071954ANHLBI NIH HHS HL66681NHLBI NIH HHS R01 HL071954NHLBI NIH HHS U01 HL066681
6 · The paper itself

Abstract

The recent completion of the human genome sequence has enabled the identification of a large fraction of our gene catalogue and their physical chromosomal position. However, current efforts lag at defining the cis-regulatory sequences that control the spatial and temporal patterns of each gene's expression. This task remains difficult due to our lack of knowledge of the vocabulary controlling gene regulation and the vast genomic search space, with greater than 95% of our genome being noncoding. Recent comparative genomic-based strategies are beginning to aid in the identification of functional sequences based on their high levels of evolutionary conservation. This has proven successful for comparisons between closely related species such as human-primate or human-mouse, but also holds true for distant evolutionary comparisons, such as human-fish or human-bird. In this review we provide support for the utility of cross-species sequence comparisons by illustrating several applications of this strategy, including the identification of new genes and functional non-coding sequences. We also discuss emerging concepts as this field matures, such as how to properly select which species for comparison, which may differ significantly between independent studies.

Indexed as

Evolution, MolecularPhylogenyAnimalsGenomicsHumansPhysiology, Comparative

Identifiers

PMID14678488
PMCPMC1664741

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.