ReviewGenetica2009
Analysis and implications of mutational variation.
Review in Genetica, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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.
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.
Who cites it
30 citing papers in PubMed.
- Stabilizing and directional selection shape the genetic variation of gene expression in the transcriptome of Chlamydomonas.Molecular biology and evolution · 2026Article
- Estimating the distribution of fitness effects of loss of heterozygosity (LOH) events using an engineered library of Saccharomyces cerevisiae.PLoS genetics · 2026Article
- An additional proofreader contributes to DNA replication fidelity in mycobacteria.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Spontaneous mutations and mutational responses to penicillin treatment in the bacterial pathogenMarine life science & technology · 2024Article
- Modelling genetic stability in engineered cell populations.Nature communications · 2023Article
- Similar mutation rates but different mutation spectra in moderate and extremely halophilic archaea.G3 (Bethesda, Md.) · 2023Article
- Recommendations for improving statistical inference in population genomics.PLoS biology · 2022Article
- Loss of Heterozygosity and Base Mutation Rates Vary AmongG3 (Bethesda, Md.) · 2020Article
- Article
- Spatial Vulnerabilities of theGenetics · 2018Article
- The evolutionary trade-off between stem cell niche size, aging, and tumorigenesis.Evolutionary applications · 2017Article
- Insertion sequence-caused large-scale rearrangements in the genome of Escherichia coli.Nucleic acids research · 2016Article
- Causes of natural variation in fitness: evidence from studies of Drosophila populations.Proceedings of the National Academy of Sciences of the United States of America · 2015Review
- The effects of demography and long-term selection on the accuracy of genomic prediction with sequence data.Genetics · 2014Article
- The relation between the genetic architecture of quantitative traits and long-term genetic response.Journal of applied genetics · 2014Article
- The nature and extent of mutational pleiotropy in gene expression of male Drosophila serrata.Genetics · 2014Article
- The interaction between selection, demography and selfing and how it affects population viability.PloS one · 2014Article
- Rate and molecular spectrum of spontaneous mutations in the bacterium Escherichia coli as determined by whole-genome sequencing.Proceedings of the National Academy of Sciences of the United States of America · 2012Article
- A resolution of the mutation load paradox in humans.Genetics · 2012Article
- Susceptibility of the male fitness phenotype to spontaneous mutation.Biology letters · 2012Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Variation from new mutations is important for several questions in quantitative genetics. Key parameters are the genomic mutation rate and the distribution of effects of mutations (DEM), which determine the amount of new quantitative variation that arises per generation from mutation (V(M)). Here, we review methods and empirical results concerning mutation accumulation (MA) experiments that have shed light on properties of mutations affecting quantitative traits. Surprisingly, most data on fitness traits from laboratory assays of MA lines indicate that the DEM is platykurtic in form (i.e., substantially less leptokurtic than an exponential distribution), and imply that most variation is produced by mutations of moderate to large effect. This finding contrasts with results from MA or mutagenesis experiments in which mutational changes to the DNA can be assayed directly, which imply that the vast majority of mutations have very small phenotypic effects, and that the distribution has a leptokurtic form. We compare these findings with recent approaches that attempt to infer the DEM for fitness based on comparing the frequency spectra of segregating nucleotide polymorphisms at putatively neutral and selected sites in population samples. When applied to data for humans and Drosophila, these analyses also indicate that the DEM is strongly leptokurtic. However, by combining the resultant estimates of parameters of the DEM with estimates of the mutation rate per nucleotide, the predicted V(M) for fitness is only a tiny fraction of V(M) observed in MA experiments. This discrepancy can be explained if we postulate that a few deleterious mutations of large effect contribute most of the mutational variation observed in MA experiments and that such mutations segregate at very low frequencies in natural populations, and effectively are never seen in population samples.
Indexed as
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18663587What OpenQuestion holds
Registered trials
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.