Evidence map›Paper›PMID 25034697›Full record

ArticleNucleic acids research2014

Estimation of the RNU2 macrosatellite mutation rate by BRCA1 mutation tracing.

Chloé Tessereau, Yann Lesecque, Nastasia Monnet, Monique Buisson, Laure Barjhoux, Mélanie Léoné, Bingjian Feng, David E Goldgar, Olga M Sinilnikova, Sylvain Mousset and 2 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Experimental and therapeutic medicine · 2026
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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

12 authors.

Chloé TessereauGenetics of Breast Cancer Team, Cancer Research Centre of Lyon, CNRS UMR5286, Inserm U1052, Université Lyon 1, Centre Léon Bérard, Lyon, France Genomic Vision, Bagneux, Paris, France.
Yann LesecqueLaboratoire de Biométrie et Biologie Evolutive, CNRS UMR5558, Université Lyon 1, France.
Nastasia MonnetGenetics of Breast Cancer Team, Cancer Research Centre of Lyon, CNRS UMR5286, Inserm U1052, Université Lyon 1, Centre Léon Bérard, Lyon, France.
Monique BuissonGenetics of Breast Cancer Team, Cancer Research Centre of Lyon, CNRS UMR5286, Inserm U1052, Université Lyon 1, Centre Léon Bérard, Lyon, France.
Laure BarjhouxGenetics of Breast Cancer Team, Cancer Research Centre of Lyon, CNRS UMR5286, Inserm U1052, Université Lyon 1, Centre Léon Bérard, Lyon, France.
Mélanie LéonéUnité Mixte de Génétique Constitutionnelle des Cancers Fréquents, Hospices Civils de Lyon/Centre Léon Bérard, Lyon, France.
Bingjian FengDepartment of Dermatology and Huntsman Cancer Institute University of Utah School of Medicine, Salt Lake City, Utah, USA.
David E GoldgarDepartment of Dermatology and Huntsman Cancer Institute University of Utah School of Medicine, Salt Lake City, Utah, USA.
Olga M SinilnikovaGenetics of Breast Cancer Team, Cancer Research Centre of Lyon, CNRS UMR5286, Inserm U1052, Université Lyon 1, Centre Léon Bérard, Lyon, France Unité Mixte de Génétique Constitutionnelle des Cancers Fréquents, Hospices Civils de Lyon/Centre Léon Bérard, Lyon, France.
Sylvain MoussetLaboratoire de Biométrie et Biologie Evolutive, CNRS UMR5558, Université Lyon 1, France.
Laurent DuretLaboratoire de Biométrie et Biologie Evolutive, CNRS UMR5558, Université Lyon 1, France.
Sylvie MazoyerGenetics of Breast Cancer Team, Cancer Research Centre of Lyon, CNRS UMR5286, Inserm U1052, Université Lyon 1, Centre Léon Bérard, Lyon, France sylvie.mazoyer@lyon.unicancer.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Large tandem repeat sequences have been poorly investigated as severe technical limitations and their frequent absence from the genome reference hinder their analysis. Extensive allelotyping of this class of variation has not been possible until now and their mutational dynamics are still poorly known. In order to estimate the mutation rate of a macrosatellite, we analysed in detail the RNU2 locus, which displays at least 50 different alleles containing 5-82 copies of a 6.1 kb repeat unit. Mining data from the 1000 Genomes Project allowed us to precisely estimate copy numbers of the RNU2 repeat unit using read depth of coverage. This further revealed significantly different mean values in various recent modern human populations, favoring a scenario of fast evolution of this locus. Its proximity to a disease gene with numerous founder mutations, BRCA1, within the same linkage disequilibrium block, offered the unique opportunity to trace RNU2 arrays over a large timescale. Analysis of the transmission of RNU2 arrays associated with one 'private' mutation in an extended kindred and four founder mutations in multiple kindreds gave an estimation by maximum likelihood of 5 × 10(-3) mutations per generation, which is close to that of microsatellites.

Indexed as

Genes, BRCA1Mutation RateCell LineDNA Copy Number VariationsDNA, SatelliteHumansMutationDNA, Satellite

Identifiers

PMID25034697
PMCPMC4132748

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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.