Evidence map›Paper›PMID 31792337›Full record

ArticleScientific reports2019

A Weighted Genetic Risk Score of Adult Glioma Susceptibility Loci Associated with Pediatric Brain Tumor Risk.

Maral Adel Fahmideh, Catharina Lavebratt, Giorgio Tettamanti, Joachim Schüz, Martin Röösli, Kristina Kjaerheim, Michael A Grotzer, Christoffer Johansen, Claudia E Kuehni, Birgitta Lannering and 3 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 44% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. 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

13 authors at 12 institutions in 6 countries.

Maral Adel FahmidehDepartment of Medicine, Section of Epidemiology and Population Sciences, Dan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, One Baylor Plaza, Houston, TX, 77030, USA. Maral.Adel@bcm.edu.ORCID http://orcid.org/0000-0002-9930-8288
Catharina LavebrattNeurogenetics Unit, Department of Molecular Medicine and Surgery, Karolinska Institutet, and Center for Molecular Medicine, Karolinska University Hospital, L8:00, SE-171 76, Stockholm, Sweden.ORCID http://orcid.org/0000-0003-4987-2718
Giorgio TettamantiUnit of Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Nobels väg 13, SE-171 77, Stockholm, Sweden.
Joachim SchüzSection of Environment and Radiation, International Agency for Research on Cancer (IARC), 150 Cours Albert Thomas, 69372 Lyon CEDEX 08, Lyon, France.ORCID http://orcid.org/0000-0001-9687-2134
Martin RöösliDepartment of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Socinstrasse 57, 4002, Basel, Switzerland.
Kristina KjaerheimThe Cancer Registry of Norway, Ullernchausseen 64, NO-0379, Oslo, Norway.
Michael A GrotzerDepartment of Oncology, University Children's Hospital of Zurich, Steinwiesstrasse 75, 8032, Zurich, Switzerland.
Christoffer JohansenUnit of Survivorship, The Danish Cancer Society Research Centre, Strandboulevarden 49, DK-2100, Copenhagen, Denmark.
Claudia E KuehniSwiss Childhood Cancer Registry, Institute of Social and Preventive Medicine, University of Bern, Mittelstrasse 43, 3012, Bern, Switzerland.
Birgitta LanneringDepartment of Pediatrics, University of Gothenburg, Smörslottsgatan 1, SE-416 85, Gothenburg, Sweden.
Lisbeth S SchmidtDepartment of Pediatrics, University Hospital Herlev, Herlev Ringvej 75, DK-2730, Copenhagen, Denmark.
Hatef DarabiQuantify, Hantverkargatan 8, SE-112 21, Stockholm, Sweden.
Maria FeychtingUnit of Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Nobels väg 13, SE-171 77, Stockholm, Sweden.
Karolinska Institutet · SEBaylor College of Medicine · USCancer Registry of Norway · NOCentre international de recherche sur le cancer · FRHerlev Hospital · DKKarolinska University Hospital · SEQuantify Research (Sweden) · SERigshospitalet · DKSwiss Tropical and Public Health Institute · CHUniversity Children's Hospital Zurich · CHUniversity of Bern · CHUniversity of Gothenburg · SE

Funding

World Health Organization 001
6 · The paper itself

Abstract

Genetic risk score (GRS) is used to demonstrate the genetic variants contributing to the polygenic architecture of complex diseases. By using a GRS, we have investigated the additive impact of the known adult glioma susceptibility loci on the pediatric brain tumor (PBT) risk and assessed the proportion of PBT heritability attributable to these susceptibility loci. A GRS was generated for PBTs based on the alleles and associated effect sizes derived from a previously published genome-wide association study on adult glioma. The GRS was calculated in CEFALO, a population-based case-control study of brain tumors in children and adolescents including saliva DNA of 245 cases and 489 controls. The unconditional logistic regression model was used to investigate the association between standardized GRS and risk of PBTs. To measure the variance explained by the effect of GRS, Nagelkerke pseudo-R

Indexed as

Polymorphism, Single NucleotideAdolescentAdultBrain NeoplasmsChildFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyGliomaHumansLogistic ModelsMaleYoung Adult

Identifiers

PMID31792337
PMCPMC6889151
OpenAlexW2991622980

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.