Evidence map›Paper›PMID 23990608›Full record

ArticleGenome research2013

The influence of genomic context on mutation patterns in the human genome inferred from rare variants.

Valerie M Schaibley, Matthew Zawistowski, Daniel Wegmann, Margaret G Ehm, Matthew R Nelson, Pamela L St Jean, Gonçalo R Abecasis, John Novembre, Sebastian Zöllner, Jun Z Li

Open access · bronzeAbstract read
In one paragraph

Article in Genome research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed, 59 citations in OpenAlex.

  1. Article
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  4. 8-Oxoadenine: A «New» Player of the Oxidative Stress in Mammals?International journal of molecular sciences · 2024
    Review
  5. Article
  6. Article
  7. Article
  8. Enabling Inference for Context-Dependent Models of Mutation by Bounding the Propagation of Dependency.Journal of computational biology : a journal of computational molecular cell biology · 2022
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Signatures of replication timing, recombination, and sex in the spectrum of rare variants on the human X chromosome and autosomes.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Neutral Theory, Disease Mutations, and Personal Exomes.Molecular biology and evolution · 2018
    Article
  20. Article
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

10 authors at 4 institutions in 2 countries.

Valerie M SchaibleyDepartment of Human Genetics, University of Michigan, Ann Arbor, Michigan 48109, USA;
Matthew Zawistowski
Daniel Wegmann
Margaret G Ehm
Matthew R Nelson
Pamela L St Jean
Gonçalo R Abecasis
John Novembre
Sebastian Zöllner
Jun Z Li
University of Michigan · USResearch Triangle Park Foundation · USÉcole Polytechnique Fédérale de Lausanne · CHUniversity of California, Los Angeles · US

Funding

University of Michigan Training Program in Genomic ScienceT32HG000040 · NHGRI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Sebastian Zoellner · 1995 to 2026
$16.4M
Population genetics for large-scale sequencing studies of diverse populationsR01HG005855 · NHGRI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Noah Rosenberg, Paul A Scheet · 2010 to 2026
$5.8M
The Lowe Oculocerebrorenal SyndromeZ01HG000040 · NHGRI · HUMAN GENOME RESEARCH · PI NUSSBAUM, ROBERT L · 1995 to 2005
–
Intramural NIH HHS Z01 HG000040NHGRI NIH HHS HG000040NHGRI NIH HHS R01 HG005855NHGRI NIH HHS T32 HG000040
6 · The paper itself

Abstract

Understanding patterns of spontaneous mutations is of fundamental interest in studies of human genome evolution and genetic disease. Here, we used extremely rare variants in humans to model the molecular spectrum of single-nucleotide mutations. Compared to common variants in humans and human-chimpanzee fixed differences (substitutions), rare variants, on average, arose more recently in the human lineage and are less affected by the potentially confounding effects of natural selection, population demographic history, and biased gene conversion. We analyzed variants obtained from a population-based sequencing study of 202 genes in >14,000 individuals. We observed considerable variability in the per-gene mutation rate, which was correlated with local GC content, but not recombination rate. Using >20,000 variants with a derived allele frequency ≤ 10(-4), we examined the effect of local GC content and recombination rate on individual variant subtypes and performed comparisons with common variants and substitutions. The influence of local GC content on rare variants differed from that on common variants or substitutions, and the differences varied by variant subtype. Furthermore, recombination rate and recombination hotspots have little effect on rare variants of any subtype, yet both have a relatively strong impact on multiple variant subtypes in common variants and substitutions. This observation is consistent with the effect of biased gene conversion or selection-dependent processes. Our results highlight the distinct biases inherent in the initial mutation patterns and subsequent evolutionary processes that affect segregating variants.

Indexed as

Genetic VariationGenome, HumanPoint MutationAnimalsBase CompositionEvolution, MolecularGene ConversionGene FrequencyGenomicsHumansLogistic ModelsModels, GeneticMutation RatePan troglodytesPhylogenyRecombination, Genetic

Identifiers

PMID23990608
PMCPMC3847768
OpenAlexW2027373346

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.