Evidence map›Paper›PMID 18781197›Full record

ArticlePloS one2008

Genome-wide analysis of natural selection on human cis-elements.

Praveen Sethupathy, Hoa Giang, Joshua B Plotkin, Sridhar Hannenhalli

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.9field-weighted citation impact, top 9% of its field
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

19 citing papers in PubMed, 24 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

Praveen SethupathyDepartment of Genetics, School of Medicine, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Hoa Giang
Joshua B Plotkin
Sridhar Hannenhalli
University of Pennsylvania · US

Funding

Methods for evolutionary analysis of eukaryotic transcriptional regulationR01GM085226 · NIGMS · UNIV OF MARYLAND, COLLEGE PARK · PI HANNENHALLI, SRIDHAR · 2008 to 2011
$1.5M
Algorithms to investigate transcriptional networksR21GM078203 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI HANNENHALLI, SRIDHAR · 2006 to 2007
$374k
NIGMS NIH HHS R01 GM085226NIGMS NIH HHS R01GM085226NIGMS NIH HHS R21 GM078203NIGMS NIH HHS R21GM078203
6 · The paper itself

Abstract

backgroundIt has been speculated that the polymorphisms in the non-coding portion of the human genome underlie much of the phenotypic variability among humans and between humans and other primates. If so, these genomic regions may be undergoing rapid evolutionary change, due in part to natural selection. However, the non-coding region is a heterogeneous mix of functional and non-functional regions. Furthermore, the functional regions are comprised of a variety of different types of elements, each under potentially different selection regimes. FINDINGS AND

conclusionsUsing the HapMap and Perlegen polymorphism data that map to a stringent set of putative binding sites in human proximal promoters, we apply the Derived Allele Frequency distribution test of neutrality to provide evidence that many human-specific and primate-specific binding sites are likely evolving under positive selection. We also discuss inherent limitations of publicly available human SNP datasets that complicate the inference of selection pressures. Finally, we show that the genes whose proximal binding sites contain high frequency derived alleles are enriched for positive regulation of protein metabolism and developmental processes. Thus our genome-scale investigation provides evidence for positive selection on putative transcription factor binding sites in human proximal promoters.

Indexed as

Genome, HumanPolymorphism, GeneticSelection, GeneticAllelesAnimalsBinding SitesConserved SequenceHumansMiceModels, GeneticPhenotypePoisson DistributionPolymorphism, Single NucleotideSpecies Specificity

Identifiers

PMID18781197
PMCPMC2522239
OpenAlexW2162474401

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.