Cited by 95Evolution and Genetic DynamicsGenomics and Rare DiseasesRNA and protein synthesis mechanisms

Distribution of the strength of selection against amino acid replacements in human proteins.

Open access
Yampolsky, Lev Y., Kondrashov, Fyodor A., Kondrashov, Alexey S.·2005·Human Molecular Genetics

Abstract

The impact of an amino acid replacement on the organism's fitness can vary from lethal to selectively neutral and even, in rare cases, beneficial. Substantial data are available on either pathogenic or acceptable replacements. However, the whole distribution of coefficients of selection against individual replacements is not known for any organism. To ascertain this distribution for human proteins, we combined data on pathogenic missense mutations, on human non-synonymous SNPs and on human-chimpanzee divergence of orthologous proteins. Fractions of amino acid replacements which reduce fitness by >10(-2), 10(-2)-10(-4), 10(-4)-10(-5) and <10(-5) are 25, 49, 14 and 12%, respectively. On average, the strength of selection against a replacement is substantially higher when chemically dissimilar amino acids are involved, and the Grantham's index of a replacement explains 35% of variance in the average logarithm of selection coefficients associated with different replacements. Still, the impact of a replacement depends on its context within the protein more than on its own nature. Reciprocal replacements are often associated with rather different selection coefficients, in particular, replacements of non-polar amino acids with polar ones are typically much more deleterious than replacements in the opposite direction. However, differences between evolutionary fluxes of reciprocal replacements are only weakly correlated with the differences between the corresponding selection coefficients.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1093/hmg/ddi350

Cites

40 of 40 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Because recessive lethal mutations are only a subset of all deleterious mutations, the estimate provides a lower bound on the burden of recessive deleterious mutations and information on the tail of the distribution of fitness effects.

    “Since recessive lethal mutations are only a subset of all deleterious mutations, our estimate provides a lower bound on the burden of recessive deleterious mutations, as well as information on the tail of the distribution of fitness effects of deleterious mutations ( e.g. , Yampolsky et al. 2005; Eyre-Walker et al. 2006; Boyko et al. 2008).”

    From An Estimate of the Average Number of Recessive Lethal Mutations Carried by Humans (2015) · cites this paper as Yampolsky et al. 2005

  • Population genetic approaches find that 25-40% of all amino acid changes in humans are strongly deleterious (s > 1% in a genic selection model).

    “These methods find that 25 -40% of all amino acid changes in humans are strongly deleterious ( i.e. , have s . 1% in a genic selection model) (Yampolsky et al. 2005; EyreWalker et al. 2006; Boyko et al. 2008).”

    From An Estimate of the Average Number of Recessive Lethal Mutations Carried by Humans (2015) · cites this paper as Yampolsky et al. 2005

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Yampolsky, L. Y., Kondrashov, F. A., & Kondrashov, A. S.
Affiliations
  • East Tennessee State University (US)
  • University of California San Diego (US)
  • National Institutes of Health (US)
Corresponding author
Yampolsky, Lev Y.
Venue
Human Molecular Genetics
Published
2005-09-20
Volume
14
Issue
21
Pages
3191-3201
ISSN
  • 0964-6906 (ISSN-L)
  • 1460-2083
OpenAlex
W2139792356
Cited by
95
References
40
Citations by year
2025: 4 · 2022: 1 · 2021: 1 · 2020: 1 · 2019: 7 · 2018: 2 · 2017: 2 · 2016: 5 · 2015: 4 · 2014: 4 · 2013: 2 · 2012: 7
FWCI
5.93
Type
journal article
Language
en
Open access
Licence
public-domain
Locations
  • Human Molecular Genetics (publishedVersion, public-domain)
  • PubMed (publishedVersion)
  • Digital Commons - East Tennessee State University (East Tennessee State University) (submittedVersion)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Evolution and Genetic Dynamics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genomics and Rare Diseases
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA and protein synthesis mechanisms
Keywords
amino acid substitutions, selection strength, human protein, non-synonymous SNPs, human-chimpanzee divergence, orthologous proteins, selection coefficients, deleterious mutations, protein evolution, fitness cost of mutations
MeSH terms
Amino Acids, Humans, Proteins, Regression Analysis, Selection, Genetic, Species Specificity, Evolution, Molecular, Amino Acid Substitution, Mutation, Missense, Polymorphism, Single Nucleotide, Genetic Diseases, Inborn

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review