Evidence map›Paper›PMID 18447906›Full record

ArticleGenome biology2008

Human-macaque comparisons illuminate variation in neutral substitution rates.

Svitlana Tyekucheva, Kateryna D Makova, John E Karro, Ross C Hardison, Webb Miller, Francesca Chiaromonte

Open access · goldAbstract readComparative Study
In one paragraph

Article in Genome biology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
2.6field-weighted citation impact, top 10% of its field
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

38 citing papers in PubMed, 58 citations in OpenAlex.

  1. Article
  2. Characterizing the rates and patterns ofbioRxiv : the preprint server for biology · 2024
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  11. Evolution of Local Mutation Rate and Its Determinants.Molecular biology and evolution · 2017
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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

6 authors at 2 institutions in 1 country.

Svitlana TyekuchevaCenter for Comparative Genomics and Bioinformatics, The Pennsylvania State University, University Park, PA 16802, USA.
Kateryna D Makova
John E Karro
Ross C Hardison
Webb Miller
Francesca Chiaromonte
Pennsylvania State University · USMiami University · US

Funding

SOFTWARE FOR ANALYZING BIOSEQUENCE DATAR01HG002238 · NHGRI · PENNSYLVANIA STATE UNIVERSITY-UNIV PARK · PI MILLER, WEBB COLBY · 2000 to 2010
$7.8M
Global Predictions and Tests of Erythroid RegulationR01DK065806 · NIDDK · PENNSYLVANIA STATE UNIVERSITY-UNIV PARK · PI BLOBEL, GERD A, CHIAROMONTE, FRANCESCA · 2004 to 2013
$5.3M
Male Mutation Bias and Paternal Age Effect in MammalsR01GM072264 · NIGMS · PENNSYLVANIA STATE UNIVERSITY-UNIV PARK · PI MAKOVA, KATERYNA · 2004 to 2010
$1.2M
Creating software tools for whole genome comparisonK01HG003315 · NHGRI · PENNSYLVANIA STATE UNIVERSITY-UNIV PARK · PI KARRO, JOHN · 2004 to 2006
$310k
Global Predictions and Tests of Hematopoietic RegulationR56DK065806 · NIDDK · PENNSYLVANIA STATE UNIVERSITY, THE · PI BLOBEL, GERD A, BODINE, DAVID M. · 2014 to 2014
$224k
NHGRI NIH HHS 5K01HG003315NHGRI NIH HHS HG02238NIDDK NIH HHS DK65806NIGMS NIH HHS R01-GM072264
6 · The paper itself

Abstract

backgroundThe evolutionary distance between human and macaque is particularly attractive for investigating local variation in neutral substitution rates, because substitutions can be inferred more reliably than in comparisons with rodents and are less influenced by the effects of current and ancient diversity than in comparisons with closer primates. Here we investigate the human-macaque neutral substitution rate as a function of a number of genomic parameters.

resultsUsing regression analyses we find that male mutation bias, male (but not female) recombination rate, distance to telomeres and substitution rates computed from orthologous regions in mouse-rat and dog-cow comparisons are prominent predictors of the neutral rate. Additionally, we demonstrate that the previously observed biphasic relationship between neutral rate and GC content can be accounted for by properly combining rates at CpG and non-CpG sites. Finally, we find the neutral rate to be negatively correlated with the densities of several classes of computationally predicted functional elements, and less so with the densities of certain classes of experimentally verified functional elements.

conclusionOur results suggest that while female recombination may be mainly responsible for driving evolution in GC content, male recombination may be mutagenic, and that other mutagenic mechanisms acting near telomeres, and mechanisms whose effects are shared across mammalian genomes, play significant roles. We also have evidence that the nonlinear increase in rates at high GC levels may be largely due to hyper-mutability of CpG dinucleotides. Finally, our results suggest that the performance of conservation-based prediction methods can be improved by accounting for neutral rates.

Indexed as

MutationRecombination, GeneticAnimalsBase CompositionFemaleHumansKineticsMacacaMaleRegression AnalysisSex FactorsTelomere

Identifiers

PMID18447906
PMCPMC2643947
OpenAlexW2097766886

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.