Evidence map›Paper›PMID 25218861›Full record

ReviewCurrent opinion in genetics & development2014

Cis-regulatory elements and human evolution.

Adam Siepel, Leonardo Arbiza

Abstract readReview
In one paragraph

Review in Current opinion in genetics & development, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Article
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  13. Accurate prediction ofNAR genomics and bioinformatics · 2021
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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.

Adam SiepelDepartment of Biological Statistics and Computational Biology, Cornell University, Ithaca, NY 14853, USA. Electronic address: siepel@cshl.edu.
Leonardo ArbizaDepartment of Biological Statistics and Computational Biology, Cornell University, Ithaca, NY 14853, USA.

Funding

The X-factor of complex disease: From population genetics to GWAS of Chromosome XR01HG006849 · NHGRI · CORNELL UNIVERSITY · PI CLARK, ANDREW G · 2013 to 2020
$2.3M
Computational methods for human genomic data integration: demography, selection,R01GM102192 · NIGMS · CORNELL UNIVERSITY · PI SIEPEL, ADAM CHARLES · 2013 to 2017
$1.7M
Factor-general characterization of dynamic transcriptional stress responsesR01HG007070 · NHGRI · CORNELL UNIVERSITY · PI LIS, JOHN T, SIEPEL, ADAM CHARLES · 2013 to 2015
$1.0M
NHGRI NIH HHS R01 HG006849NHGRI NIH HHS R01-HG006849NHGRI NIH HHS R01 HG007070NHGRI NIH HHS R01-HG007070NIGMS NIH HHS R01 GM102192NIGMS NIH HHS R01-GM102192
6 · The paper itself

Abstract

Modification of gene regulation has long been considered an important force in human evolution, particularly through changes to cis-regulatory elements (CREs) that function in transcriptional regulation. For decades, however, the study of cis-regulatory evolution was severely limited by the available data. New data sets describing the locations of CREs and genetic variation within and between species have now made it possible to study CRE evolution much more directly on a genome-wide scale. Here, we review recent research on the evolution of CREs in humans based on large-scale genomic data sets. We consider inferences based on primate divergence, human polymorphism, and combinations of divergence and polymorphism. We then consider 'new frontiers' in this field stemming from recent research on transcriptional regulation.

Indexed as

Gene Expression RegulationModels, GeneticPolymorphism, GeneticAnimalsEvolution, MolecularGenome, HumanHumansPan troglodytesRegulatory Elements, TranscriptionalSpecies Specificity

Identifiers

PMID25218861
PMCPMC4258466

What OpenQuestion holds

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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.