Evidence map›Paper›PMID 23684843›Full record

ReviewTrends in genetics : TIG2013

Properties and rates of germline mutations in humans.

Catarina D Campbell, Evan E Eichler

Abstract readReview
In one paragraph

Review in Trends in genetics : TIG, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 125 papers.

0numbers the graph read from it
0cells of the map it votes in
125citing 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

125 citing papers in PubMed.

  1. Review
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  7. De novo rates of aProceedings of the National Academy of Sciences of the United States of America · 2025
    Article
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  11. Genome-wide association testing beyond SNPs.Nature reviews. Genetics · 2025
    Review
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65 more citing papers are in PubMed but not listed here.

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.

Catarina D CampbellDepartment of Genome Sciences, University of Washington, Seattle, WA 98195, USA.
Evan E Eichler

Funding

Population genetic studies of human copy-number polymorphismsF32HG006070 · NHGRI · UNIVERSITY OF WASHINGTON · PI CAMPBELL, CATARINA D. · 2010 to 2012
$108k
Howard Hughes Medical InstituteNHGRI NIH HHS F32 HG006070NHGRI NIH HHS F32HG006070
6 · The paper itself

Abstract

All genetic variation arises via new mutations; therefore, determining the rate and biases for different classes of mutation is essential for understanding the genetics of human disease and evolution. Decades of mutation rate analyses have focused on a relatively small number of loci because of technical limitations. However, advances in sequencing technology have allowed for empirical assessments of genome-wide rates of mutation. Recent studies have shown that 76% of new mutations originate in the paternal lineage and provide unequivocal evidence for an increase in mutation with paternal age. Although most analyses have focused on single nucleotide variants (SNVs), studies have begun to provide insight into the mutation rate for other classes of variation, including copy number variants (CNVs), microsatellites, and mobile element insertions (MEIs). Here, we review the genome-wide analyses for the mutation rate of several types of variants and suggest areas for future research.

Indexed as

Mutation RateBiological EvolutionDiseaseDNA Copy Number VariationsGerm-Line MutationHumansPolymorphism, Single Nucleotidede novo mutationgenome widegermline mutation ratepaternal agepaternal bias

Identifiers

PMID23684843
PMCPMC3785239

What OpenQuestion holds

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Registered trials

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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.