Evidence map›Paper›PMID 28733365›Full record

ArticleGenetics2017

Contrasting Determinants of Mutation Rates in Germline and Soma.

Chen Chen, Hongjian Qi, Yufeng Shen, Joseph Pickrell, Molly Przeworski

Open access · bronzeAbstract read
In one paragraph

Article in Genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

24 citing papers in PubMed, 36 citations in OpenAlex.

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  9. Increased rate ofbioRxiv : the preprint server for biology · 2025
    Article
  10. Article
  11. The Evolutionary Interplay of Somatic and Germline Mutation Rates.Annual review of biomedical data science · 2024
    Review
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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.

Chen ChenDepartment of Biological Sciences, Columbia University, New York, New York 10025 cc3499@columbia.edu.
Hongjian QiDepartment of Systems Biology, Columbia University Medical Center, New York, New York 10032.
Yufeng ShenDepartment of Systems Biology, Columbia University Medical Center, New York, New York 10032.
Joseph PickrellDepartment of Biological Sciences, Columbia University, New York, New York 10025.
Molly PrzeworskiDepartment of Biological Sciences, Columbia University, New York, New York 10025.
Columbia University Irving Medical Center · USNew York Genome Center · USColumbia University · US

Funding

Mutation rate variation in primatesR01GM122975 · NIGMS · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI PRZEWORSKI, MOLLY F · 2017 to 2020
$1.6M
NIGMS NIH HHS R01 GM122975
6 · The paper itself

Abstract

Recent studies of somatic and germline mutations have led to the identification of a number of factors that influence point mutation rates, including CpG methylation, expression levels, replication timing, and GC content. Intriguingly, some of the effects appear to differ between soma and germline: in particular, whereas mutation rates have been reported to decrease with expression levels in tumors, no clear effect has been detected in the germline. Distinct approaches were taken to analyze the data, however, so it is hard to know whether these apparent differences are real. To enable a cleaner comparison, we considered a statistical model in which the mutation rate of a coding region is predicted by GC content, expression levels, replication timing, and two histone repressive marks. We applied this model to both a set of germline mutations identified in exomes and to exonic somatic mutations in four types of tumors. Most determinants of mutations are shared: notably, we detected an effect of expression levels on both germline and somatic mutation rates. Moreover, in all tissues considered, higher expression levels are associated with greater strand asymmetry of mutations. However, mutation rates increase with expression levels in testis (and, more tentatively, in ovary), whereas they decrease with expression levels in somatic tissues. This contrast points to differences in damage or repair rates during transcription in soma and germline.

Indexed as

Germ-Line MutationModels, GeneticMutation RateBase CompositionGene Expression Regulation, NeoplasticHistonesHumansNeoplasmsHistonesgermline mutationshumanmutation ratesomatic mutationsstrand asymmetry

Identifiers

PMID28733365
PMCPMC5586376
OpenAlexW2953211079

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.