Evidence map›Paper›PMID 23190577›Full record

ArticleBMC genomics2012

Pairwise shared genomic segment analysis in three Utah high-risk breast cancer pedigrees.

Zheng Cai, Alun Thomas, Craig Teerlink, James M Farnham, Lisa A Cannon-Albright, Nicola J Camp

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 89% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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 1 institution in 1 country.

Zheng CaiDepartment of Biomedical Informatics, University of Utah Medical School,Health Sciences Education Building, Salt Lake City, UT 84112, USA.
Alun Thomas
Craig Teerlink
James M Farnham
Lisa A Cannon-Albright
Nicola J Camp
University of Utah · US

Funding

UTAH REGIONAL CANCER CENTERP30CA042014 · NCI · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Jared P Rutter · 1986 to 2026
$72.6M
GENETIC EPIDEMIOLOGY OF CHRONIC LYMPHOCYTIC LEUKEMIAR01CA134674 · NCI · UNIVERSITY OF UTAH · PI CAMP, NICOLA J. · 2010 to 2016
$3.8M
Shared Genomic Segment Analysis and Tumor Subtyping in High-Risk BrCa PedigreesR01CA163353 · NCI · UNIVERSITY OF UTAH · PI CAMP, NICOLA J. · 2012 to 2016
$2.9M
Graphical models for linkage disequilibrium in genetic mappingR01GM081417 · NIGMS · UNIVERSITY OF UTAH · PI THOMAS, ALUN · 2007 to 2010
$1.1M
Shared Genomic Segment Analysis for Localizing Multiple Myeloma GenesR21CA152336 · NCI · UNIVERSITY OF UTAH · PI CAMP, NICOLA J. · 2010 to 2011
$353k
NCI NIH HHS HHSN261201000026CNCI NIH HHS P30 CA042014NCI NIH HHS P30CA042014NCI NIH HHS P30 CA42014NCI NIH HHS R01 CA134674NCI NIH HHS R01CA134674NCI NIH HHS R01 CA163353NCI NIH HHS R21CA152336NIGMS NIH HHS R01GM81417
6 · The paper itself

Abstract

backgroundWe applied a new weighted pairwise shared genomic segment (pSGS) analysis for susceptibility gene localization to high-density genomewide SNP data in three extended high-risk breast cancer pedigrees.

resultsUsing this method, four genomewide suggestive regions were identified on chromosomes 2, 4, 7 and 8, and a borderline suggestive region on chromosome 14. Seven additional regions with at least nominal evidence were observed. Of particular note among these total twelve regions were three regions that were identified in two pedigrees each; chromosomes 4, 7 and 14. Follow-up two-pedigree pSGS analyses further indicated excessive genomic sharing across the pedigrees in all three regions, suggesting that the underlying susceptibility alleles in those regions may be shared in common. In general, the pSGS regions identified were quite large (average 32.2 Mb), however, the range was wide (0.3 - 88.2 Mb). Several of the regions identified overlapped with loci and genes that have been previously implicated in breast cancer risk, including NBS1, BRCA1 and RAD51L1.

conclusionsOur analyses have provided several loci of interest to pursue in these high-risk pedigrees and illustrate the utility of the weighted pSGS method and extended pedigrees for gene mapping in complex diseases. A focused sequencing effort across these loci in the sharing individuals is the natural next step to further map the critical underlying susceptibility variants in these regions.

Indexed as

GenomicsPedigreeBreast NeoplasmsFemaleGenetic Predisposition to DiseaseHumansLinkage DisequilibriumMalePolymorphism, Single NucleotideUtah

Identifiers

PMID23190577
PMCPMC3561143
OpenAlexW2067975079

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.