Evidence map›Paper›PMID 22449396›Full record

ArticleGenomics, proteomics & bioinformatics2012

Distinct contributions of replication and transcription to mutation rate variation of human genomes.

Peng Cui, Feng Ding, Qiang Lin, Lingfang Zhang, Ang Li, Zhang Zhang, Songnian Hu, Jun Yu

Open access · goldAbstract read
In one paragraph

Article in Genomics, proteomics & bioinformatics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

18 citing papers in PubMed, 34 citations in OpenAlex.

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  12. Ribogenomics: the science and knowledge of RNA.Genomics, proteomics & bioinformatics · 2014
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  13. Review
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  15. Does the genetic code have a eukaryotic origin?Genomics, proteomics & bioinformatics · 2013
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  17. Life on two tracks.Genomics, proteomics & bioinformatics · 2012
    Article
  18. Challenges to the common dogma.Genomics, proteomics & bioinformatics · 2012
    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

8 authors at 3 institutions in 2 countries.

Peng CuiCAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100029, China.
Feng Ding
Qiang Lin
Lingfang Zhang
Ang Li
Zhang Zhang
Songnian Hu
Jun Yu
Chinese Academy of Sciences · CNBeijing Institute of Genomics · CNKing Abdullah University of Science and Technology · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Here, we evaluate the contribution of two major biological processes--DNA replication and transcription--to mutation rate variation in human genomes. Based on analysis of the public human tissue transcriptomics data, high-resolution replicating map of Hela cells and dbSNP data, we present significant correlations between expression breadth, replication time in local regions and SNP density. SNP density of tissue-specific (TS) genes is significantly higher than that of housekeeping (HK) genes. TS genes tend to locate in late-replicating genomic regions and genes in such regions have a higher SNP density compared to those in early-replication regions. In addition, SNP density is found to be positively correlated with expression level among HK genes. We conclude that the process of DNA replication generates stronger mutational pressure than transcription-associated biological processes do, resulting in an increase of mutation rate in TS genes while having weaker effects on HK genes. In contrast, transcription-associated processes are mainly responsible for the accumulation of mutations in highly-expressed HK genes.

Indexed as

DNA ReplicationGenome, HumanMutation RateTranscription, GeneticGenes, EssentialHeLa CellsHumansOrgan SpecificityPolymorphism, Single NucleotideTranscriptome

Identifiers

PMID22449396
PMCPMC5054443
OpenAlexW2089902916

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.