Evidence map›Paper›PMID 17760956›Full record

ArticleBMC genomics2007

Genomewide high-density SNP linkage analysis of non-BRCA1/2 breast cancer families identifies various candidate regions and has greater power than microsatellite studies.

Anna Gonzalez-Neira, Juan Manuel Rosa-Rosa, Ana Osorio, Emilio Gonzalez, Melissa Southey, Olga Sinilnikova, Henry Lynch, Rogier A Oldenburg, Christi J van Asperen, Nicoline Hoogerbrugge and 4 more

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

15 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
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  3. Oncotarget · 2017
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  15. Stemming the tide of cancer for BRCA1/2 mutation carriers.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2008
    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

14 authors at 8 institutions in 4 countries.

Anna Gonzalez-NeiraGenotyping Unit, CeGen, Human Cancer Genetics Programme, Spanish National Cancer Centre, Spain. agonzalez@cnio.es
Juan Manuel Rosa-Rosa
Ana Osorio
Emilio Gonzalez
Melissa Southey
Olga Sinilnikova
Henry Lynch
Rogier A Oldenburg
Christi J van Asperen
Nicoline Hoogerbrugge
Guillermo Pita
Peter Devilee
David Goldgar
Javier Benitez
Spanish National Cancer Research Centre · ESLeiden University Medical Center · NLCentre International de Recherche sur le Cancer · FRCentre Léon Bérard · FRCreighton University · USErasmus University Rotterdam · NLRadboud University Nijmegen · NLUniversity of Utah · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe recent development of new high-throughput technologies for SNP genotyping has opened the possibility of taking a genome-wide linkage approach to the search for new candidate genes involved in heredity diseases. The two major breast cancer susceptibility genes BRCA1 and BRCA2 are involved in 30% of hereditary breast cancer cases, but the discovery of additional breast cancer predisposition genes for the non-BRCA1/2 breast cancer families has so far been unsuccessful.

resultsIn order to evaluate the power improvement provided by using SNP markers in a real situation, we have performed a whole genome screen of 19 non-BRCA1/2 breast cancer families using 4720 genomewide SNPs with Illumina technology (Illumina's Linkage III Panel), with an average distance of 615 Kb/SNP. We identified six regions on chromosomes 2, 3, 4, 7, 11 and 14 as candidates to contain genes involved in breast cancer susceptibility, and additional fine mapping genotyping using microsatellite markers around linkage peaks confirmed five of them, excluding the region on chromosome 3. These results were consistent in analyses that excluded SNPs in high linkage disequilibrium. The results were compared with those obtained previously using a 10 cM microsatellite scan (STR-GWS) and we found lower or not significant linkage signals with STR-GWS data compared to SNP data in all cases.

conclusionOur results show the power increase that SNPs can supply in linkage studies.

Indexed as

Genes, BRCA1Genes, BRCA2Genetic LinkageGenome, HumanPolymorphism, Single NucleotideChromosome MappingGenetic Predisposition to DiseaseHumansMicrosatellite Repeats

Identifiers

PMID17760956
PMCPMC2072960
OpenAlexW2009943833

What OpenQuestion holds

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LicenceCC BY
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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.