Evidence map›Paper›PMID 13680524›Full record

ArticleAmerican journal of human genetics2003

Pooled analysis of loss of heterozygosity in breast cancer: a genome scan provides comparative evidence for multiple tumor suppressors and identifies novel candidate regions.

Brian J Miller, Daolong Wang, Ralf Krahe, Fred A Wright

Abstract read
In one paragraph

Article in American journal of human genetics, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

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3 · Its place in the literature

Who cites it

35 citing papers in PubMed.

  1. Article
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  4. Degradation of FBXO31 by APC/C is regulated by AKT- and ATM-mediated phosphorylation.Proceedings of the National Academy of Sciences of the United States of America · 2018
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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.

Brian J MillerCollege of Medicine and Public Health, The Ohio State University, Columbus, OH, USA.
Daolong Wang
Ralf Krahe
Fred A Wright

Funding

INFERENCE AND ROBUST METHODS FOR LINKAGE MAPPINGR01GM058934 · NIGMS · UNIVERSITY OF NORTH CAROLINA CHAPEL HILL · PI WRIGHT, FRED A. · 1998 to 2002
$457k
NIGMS NIH HHS GM58934
6 · The paper itself

Abstract

Somatic loss of heterozygosity (LOH) has been widely reported in breast cancer as a means of identifying putative tumor-suppressor genes. However, individual studies have rarely spanned more than a single chromosome, and the varying criteria used to declare LOH complicate efforts to formally differentiate regions of consistent versus sporadic (random) loss. We report here the compilation of an extensive database from 151 published LOH studies of breast cancer, with summary data from >15,000 tumors and primary allelotypes from >4,300 tumors. Allelic loss was evaluated at 1,168 marker loci, with large variation in the density of informative observations across the genome. Using studies in which primary allelotype information was available, we employed a likelihood-based approach with a formal chromosomal instability and selection model. The approach seeks direct evidence for preferential loss at each locus compared with nearby loci, accounts for heterogeneity across studies, and enables the direct comparison of candidate regions across the genome. Striking preferential loss was observed (in descending order of significance) in specific regions of chromosomes 7q, 16q, 13q, 17p, 8p, 21q, 3p, 18q, 2q, and 19p, as well as other regions, in many cases coinciding with previously identified candidate genes or known fragile sites. Many of these observations were not possible from any single LOH study, and our results suggest that many previously reported LOH results are not systematic or reproducible. Our approach provides a comparative framework for further investigation of regions exhibiting LOH and identifies broad genomic regions for which there exist few data.

Indexed as

Genes, Tumor SuppressorGenome, HumanAllelesBreast NeoplasmsChromosome MappingChromosomes, Human, Pair 17FemaleGenetic MarkersHumansLoss of HeterozygosityModels, GeneticModels, StatisticalGenetic Markers

Identifiers

PMID13680524
PMCPMC1180599

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.