Evidence map›Paper›PMID 11937628›Full record

ArticleNucleic acids research2002

Genes on human chromosome 19 show extreme divergence from the mouse orthologs and a high GC content.

Jose Castresana

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in Nucleic acids research, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed, 54 citations in OpenAlex.

  1. Deconstruction ofbioRxiv : the preprint server for biology · 2026
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  16. Almost all human genes resulted from ancient duplication.Proceedings of the National Academy of Sciences of the United States of America · 2006
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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

1 author at 1 institution in 1 country.

Jose CastresanaEuropean Molecular Biology Laboratory (EMBL), Biocomputing Unit, Meyerhofstrasse 1, D-69117 Heidelberg, Germany. jose.castresana@crg.es
European Molecular Biology Laboratory · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mutational rates are known to be variable along the mammalian genome but the extent of this non-random fluctuation and their causes are less well understood. Using 5509 human and mouse orthologous genes with known chromosome positions, it is shown here that there are extreme differences in synonymous evolutionary rates between different human chromosomes when distances are measured using maximum-likelihood techniques. In particular, the average synonymous rate of genes located in human chromosome 19 is extremely high (K(s) = 1.243 substitutions/site) compared with the average of all genes (K(s) = 0.729), and significantly different from all other human chromosomes. When genes are sorted according to mouse chromosomes no such large differences are found. Strikingly, almost all genes of human chromosome 19 have very high GC content in humans but not in the mouse orthologs. More generally, correlation analysis shows that genes with very high GC content in humans have experienced the highest synonymous divergencies from the mouse. It is likely that, in such genes, the known relaxation of the isochore structure in rodents has caused an increased accumulation of synonymous substitutions in the mouse lineage, whereas the regions with the highest GC content in the human genome are accordingly maintained by a strong selective pressure.

Indexed as

Chromosomes, Human, Pair 19Evolution, MolecularAnimalsBase CompositionChromosomesGC Rich SequenceGenesGenetic VariationGenome, HumanHumansLikelihood FunctionsMiceMutation

Identifiers

PMID11937628
PMCPMC113201
OpenAlexW2098063519

What OpenQuestion holds

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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.