Evidence map›Paper›PMID 15123583›Full record

ArticleGenome research2004

Dynamics of a human interparalog gene conversion hotspot.

Elena Bosch, Matthew E Hurles, Arcadi Navarro, Mark A Jobling

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in Genome research, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing 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

49 citing papers in PubMed, 75 citations in OpenAlex.

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  7. Frequent nonallelic gene conversion on the human lineage and its effect on the divergence of gene duplicates.Proceedings of the National Academy of Sciences of the United States of America · 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

4 authors at 3 institutions in 2 countries.

Elena BoschDepartment of Genetics, University of Leicester, Leicester LE1 7RH, UK.
Matthew E Hurles
Arcadi Navarro
Mark A Jobling
University of Leicester · GBUniversitat Pompeu Fabra · ESUniversity of Cambridge · GB

Funding

Wellcome Trust 057559
6 · The paper itself

Abstract

Gene conversion between paralogs can alter their patterns of sequence identity, thus obscuring their evolutionary relationships and affecting their propensity to sponsor genomic rearrangements. The details of this important process are poorly understood in the human genome because allelic diversity complicates the interpretation of interparalog sequence differences. Here we exploit the haploid nature of the Y chromosome, which obviates complicating interallelic processes, together with its known phylogeny, to understand the dynamics of conversion between two directly repeated HERVs flanking the 780-kb AZFa region on Yq. Sequence analysis of a 787-bp segment of each of the HERVs in 36 Y chromosomes revealed one of the highest nucleotide diversities in the human genome, as well as evidence of a complex patchwork of highly directional gene conversion events. The rate of proximal-to-distal conversion events was estimated as 2.4 x 10(-4) to 1.2 x 10(-3) per generation (3.9 x 10(-7) to 1.9 x 10(-6) per base per generation), and the distal-to-proximal rate as about one-twentieth of this. Minimum observed conversion tract lengths ranged from 1 to 158 bp and maximum lengths from 19 to 1365 bp, with an estimated mean of 31 bp. Analysis of great ape homologs shows that conversion in this hotspot has a deep evolutionary history.

Indexed as

AnimalsBase SequenceChromosome MappingConserved SequenceDatabases, GeneticDNADNA, ViralEndogenous RetrovirusesEvolution, MolecularGene ConversionGenetic VariationGorilla gorillaHumansMaleMolecular Sequence DataNucleic Acid Amplification TechniquesDNADNA, Viral

Identifiers

PMID15123583
PMCPMC479110
OpenAlexW2111822939

What OpenQuestion holds

Textmetadata
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.