Evidence map›Paper›PMID 25474578›Full record

ArticlePloS one2014

Evidence for evolutionary and nonevolutionary forces shaping the distribution of human genetic variants near transcription start sites.

Giovanni Scala, Ornella Affinito, Gennaro Miele, Antonella Monticelli, Sergio Cocozza

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 38% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Unravelling the genetic architecture of cerebral small vessel disease in the context of stroke.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2026
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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

5 authors at 3 institutions in 1 country.

Giovanni ScalaGruppo Interdipartimentale di Bioinformatica e Biologia Computazionale, Università degli Studi di Napoli "Federico II", Naples, Italy; Dipartimento di Fisica, Università degli Studi di Napoli "Federico II", Naples, Italy; Istituto Nazionale di Fisica Nucleare, Sezione di Napoli, Naples, Italy.
Ornella AffinitoGruppo Interdipartimentale di Bioinformatica e Biologia Computazionale, Università degli Studi di Napoli "Federico II", Naples, Italy; Dipartimento di Medicina Molecolare e Biotecnologie Mediche, Università degli Studi di Napoli "Federico II", Naples, Italy; Istituto di Endocrinologia ed Oncologia Sperimentale (IEOS), CNR, Naples, Italy.
Gennaro MieleGruppo Interdipartimentale di Bioinformatica e Biologia Computazionale, Università degli Studi di Napoli "Federico II", Naples, Italy; Dipartimento di Fisica, Università degli Studi di Napoli "Federico II", Naples, Italy; Istituto Nazionale di Fisica Nucleare, Sezione di Napoli, Naples, Italy.
Antonella MonticelliGruppo Interdipartimentale di Bioinformatica e Biologia Computazionale, Università degli Studi di Napoli "Federico II", Naples, Italy; Istituto di Endocrinologia ed Oncologia Sperimentale (IEOS), CNR, Naples, Italy.
Sergio CocozzaGruppo Interdipartimentale di Bioinformatica e Biologia Computazionale, Università degli Studi di Napoli "Federico II", Naples, Italy; Dipartimento di Medicina Molecolare e Biotecnologie Mediche, Università degli Studi di Napoli "Federico II", Naples, Italy.
Institute for Experimental Endocrinology and Oncology · ITUniversity of Naples Federico II · ITIstituto Nazionale di Fisica Nucleare, Sezione di Napoli · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The regions surrounding transcription start sites (TSSs) of genes play a critical role in the regulation of gene expression. At the same time, current evidence indicates that these regions are particularly stressed by transcription-related mutagenic phenomena. In this work we performed a genome-wide analysis of the distribution of single nucleotide polymorphisms (SNPs) inside the 10 kb region flanking human TSSs by dividing SNPs into four classes according to their frequency (rare, two intermediate classes, and common). We found that, in this 10 kb region, the distribution of variants depends on their frequency and on their localization relative to the TSS. We found that the distribution of variants is generally different for TSSs located inside or outside of CpG islands. We found a significant relationship between the distribution of rare variants and nucleosome occupancy scores. Furthermore, our analysis suggests that evolutionary (purifying selection) and nonevolutionary (biased gene conversion) forces both play a role in determining the relative SNP frequency around TSSs. Finally, we analyzed the potential pathogenicity of each class of variant using the Combined Annotation Dependent Depletion score. In conclusion, this study provides a novel and detailed view of the distribution of genomic variants around TSSs, providing insight into the forces that instigate and maintain variability in such critical regions.

Indexed as

Evolution, MolecularPolymorphism, Single NucleotideTranscription Initiation SiteCpG IslandsGene FrequencyHumansModels, GeneticPromoter Regions, GeneticSequence Analysis, DNATranscription, Genetic

Identifiers

PMID25474578
PMCPMC4256220
OpenAlexW1969832980

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.