ArticleGenetics2006
Estimating selection on nonsynonymous mutations.
Article in Genetics, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers.
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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.
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Who cites it
76 citing papers in PubMed, 122 citations in OpenAlex.
- Genome-wide analysis of theFrontiers in plant science · 2026Article
- Genome-wide identification and expression analysis of the actin gene family in soybean (Glycine max).Genetica · 2025Article
- Isolating selective from non-selective forces using site frequency ratios.PLoS genetics · 2025Article
- Genome-Wide Identification and Characterization of SNPs and InDels ofPlants (Basel, Switzerland) · 2024Article
- Complete chloroplast genome sequence of Camellia sinensis: genome structure, adaptive evolution, and phylogenetic relationships.Journal of applied genetics · 2023Article
- Dominance shifts increase the likelihood of soft selective sweeps.Evolution; international journal of organic evolution · 2022Article
- Complete Chloroplast Genome Sequence ofLife (Basel, Switzerland) · 2022Article
- Genetic Analysis of Plant Pathogens Natural Populations.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Sex differences in deleterious mutational effects in Drosophila melanogaster: combining quantitative and population genetic insights.Genetics · 2021Article
- Greater strength of selection and higher proportion of beneficial amino acid changing mutations in humans compared with mice andGenome research · 2021Article
- How Much DoesGenetics · 2020Article
- The Complete Chloroplast Genome Sequencing and Comparative Analysis of Reed Canary Grass (Plants (Basel, Switzerland) · 2020Article
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- Exonic splice regulation imposes strong selection at synonymous sites.Genome research · 2018Article
- Inference of Distribution of Fitness Effects and Proportion of Adaptive Substitutions from Polymorphism Data.Genetics · 2017Article
- Detecting positive selection in the genome.BMC biology · 2017Review
- Estimating the prevalence of functional exonic splice regulatory information.Human genetics · 2017Review
- Molecular Population Genetics.Genetics · 2017Review
- Population genetics from 1966 to 2016.Heredity · 2017Review
16 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The distribution of mutational effects on fitness is of fundamental importance for many aspects of evolution. We develop two methods for characterizing the fitness effects of deleterious, nonsynonymous mutations, using polymorphism data from two related species. These methods also provide estimates of the proportion of amino acid substitutions that are selectively favorable, when combined with data on between-species sequence divergence. The methods are applicable to species with different effective population sizes, but that share the same distribution of mutational effects. The first, simpler, method assumes that diversity for all nonneutral mutations is given by the value under mutation-selection balance, while the second method allows for stronger effects of genetic drift and yields estimates of the parameters of the probability distribution of mutational effects. We apply these methods to data on populations of Drosophila miranda and D. pseudoobscura and find evidence for the presence of deleterious nonsynonymous mutations, mostly with small heterozygous selection coefficients (a mean of the order of 10(-5) for segregating variants). A leptokurtic gamma distribution of mutational effects with a shape parameter between 0.1 and 1 can explain observed diversities, in the absence of a separate class of completely neutral nonsynonymous mutations. We also describe a simple approximate method for estimating the harmonic mean selection coefficient from diversity data on a single species.
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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.