Evidence map›Paper›PMID 22037877›Full record

ArticleCancer research2011

Genome-wide high-density SNP linkage search for glioma susceptibility loci: results from the Gliogene Consortium.

Sanjay Shete, Ching C Lau, Richard S Houlston, Elizabeth B Claus, Jill Barnholtz-Sloan, Rose Lai, Dora Il'yasova, Joellen Schildkraut, Siegal Sadetzki, Christoffer Johansen and 19 more

Open access · bronzeAbstract read
In one paragraph

Article in Cancer research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 3 pooled it
1.6field-weighted citation impact, top 17% 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

25 citing papers in PubMed, 3 syntheses or guidelines pooled it, 49 citations in OpenAlex.

  1. Pooled it
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  6. Population Neuroscience: Principles and Advances.Current topics in behavioral neurosciences · 2024
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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

29 authors at 6 institutions in 2 countries.

Sanjay SheteDepartment of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA. sshete@mdanderson.org
Ching C Lau
Richard S Houlston
Elizabeth B Claus
Jill Barnholtz-Sloan
Rose Lai
Dora Il'yasova
Joellen Schildkraut
Siegal Sadetzki
Christoffer Johansen
Jonine L Bernstein
Sara H Olson
Robert B Jenkins
Ping Yang
Nicholas A Vick
Margaret Wrensch
Faith G Davis
Bridget J McCarthy
Eastwood Hon-chiu Leung
Caleb Davis
Rita Cheng
Fay J Hosking
Georgina N Armstrong
Yanhong Liu
Robert K Yu
Roger Henriksson
Gliogene Consortium
Beatrice S Melin
Melissa L Bondy
Brigham and Women's Hospital · USCase Western Reserve University · USInstitute of Cancer Research · GBThe University of Texas MD Anderson Cancer Center · USChildren's Cancer Center · USCancer Genetics (United States) · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
GENETIC EPIDEMIOLOGY OF MALIGNANT GLIOMAR01CA052689 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI WIENCKE, JOHN K., WRENSCH, MARGARET R. · 1991 to 2015
$20.5M
Genetic Epidemiology of Glioma International ConsortiumR01CA119215 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI BONDY, MELISSA L. · 2006 to 2010
$11.9M
MOLECULAR EPIDEMIOLOGY OF GLIOMASR01CA070917 · NCI · UNIVERSITY OF TEXAS MD ANDERSON CAN CTR · PI BONDY, MELISSA L · 1996 to 2004
$3.0M
Biomarkers of survival in glioma epidemiologyR01CA126831 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI WIENCKE, JOHN K. · 2008 to 2013
$2.5M
NCI NIH HHS 5P30CA16672NCI NIH HHS 5R01 CA070917NCI NIH HHS 5R01 CA119215NCI NIH HHS R01 CA052689NCI NIH HHS R01 CA070917NCI NIH HHS R01 CA119215NCI NIH HHS R01 CA126831NCI NIH HHS R01CA126831NCI NIH HHS R01CA52689PHS HHS P50097257
6 · The paper itself

Abstract

Gliomas, which generally have a poor prognosis, are the most common primary malignant brain tumors in adults. Recent genome-wide association studies have shown that inherited susceptibility plays a role in the development of glioma. Although first-degree relatives of patients exhibit a two-fold increased risk of glioma, the search for susceptibility loci in familial forms of the disease has been challenging because the disease is relatively rare, fatal, and heterogeneous, making it difficult to collect sufficient biosamples from families for statistical power. To address this challenge, the Genetic Epidemiology of Glioma International Consortium (Gliogene) was formed to collect DNA samples from families with two or more cases of histologically confirmed glioma. In this study, we present results obtained from 46 U.S. families in which multipoint linkage analyses were undertaken using nonparametric (model-free) methods. After removal of high linkage disequilibrium single-nucleotide polymorphism, we obtained a maximum nonparametric linkage score (NPL) of 3.39 (P = 0.0005) at 17q12-21.32 and the Z-score of 4.20 (P = 0.000007). To replicate our findings, we genotyped 29 independent U.S. families and obtained a maximum NPL score of 1.26 (P = 0.008) and the Z-score of 1.47 (P = 0.035). Accounting for the genetic heterogeneity using the ordered subset analysis approach, the combined analyses of 75 families resulted in a maximum NPL score of 3.81 (P = 0.00001). The genomic regions we have implicated in this study may offer novel insights into glioma susceptibility, focusing future work to identify genes that cause familial glioma.

Indexed as

Polymorphism, Single NucleotideAdolescentAdultAgedBrain NeoplasmsChildChromosome MappingFamily HealthFemaleGenetic HeterogeneityGenetic Predisposition to DiseaseGenome, HumanGenome-Wide Association StudyGenotypeGliomaHumans

Identifiers

PMID22037877
PMCPMC3242820
OpenAlexW2108030415

What OpenQuestion holds

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Read underepoch 390

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.