Evidence map›Paper›PMID 25294155›Full record

ArticleBMC medical genetics2014

A comprehensive evaluation of the role of genetic variation in follicular lymphoma survival.

Fredrik Baecklund, Jia-Nee Foo, Paige Bracci, Hatef Darabi, Robert Karlsson, Henrik Hjalgrim, Richard Rosenquist, Hans-Olov Adami, Bengt Glimelius, Mads Melbye and 5 more

Open access · goldAbstract read
In one paragraph

Article in BMC medical genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 15% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

  1. Pooled it
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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

15 authors at 8 institutions in 4 countries.

Fredrik BaecklundDepartment of Medicine Solna, Clinical Epidemiology Unit, Karolinska Institutet, Stockholm, Sweden. fredrik.baecklund@ki.se.
Jia-Nee FooHuman Genetics, Genome Institute of Singapore, A*STAR, Singapore, Singapore. foojn@gis.a-star.edu.sg.
Paige BracciDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA. paige.bracci@ucsf.edu.
Hatef DarabiDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden. hatef.darabi@ki.se.
Robert KarlssonDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden. robert.karlsson@ki.se.
Henrik HjalgrimDepartment of Epidemiology Research, Statens Serum Institut, Copenhagen, Denmark. hhj@ssi.dk.
Richard RosenquistDepartment of Immunology, Genetics and Pathology, Science for Life Laboratory, Uppsala University, Uppsala, Sweden. richard.rosenquist@igp.uu.se.
Hans-Olov AdamiDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden. hadami@hsph.harvard.edu.
Bengt GlimeliusDepartment of Radiology, Oncology and Radiation Science, Uppsala University, Uppsala, Sweden. bengt.glimelius@onkologi.uu.se.
Mads MelbyeDivision of National Health Surveillance and Research, Statens Serum Institut, Copenhagen, Denmark. mme@ssi.dk.
Lucia CondeDepartment of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA. lconde@uab.edu.
Jianjun LiuHuman Genetics, Genome Institute of Singapore, A*STAR, Singapore, Singapore. liuj3@gis.a-star.edu.sg.
Keith HumphreysDepartment of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden. keith.humphreys@ki.se.
Christine F SkibolaDepartment of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA. cskibola@uab.edu.
Karin E SmedbyDepartment of Medicine Solna, Clinical Epidemiology Unit, Karolinska Institutet, Stockholm, Sweden. karin.ekstrom.smedby@ki.se.
Karolinska Institutet · SEStatens Serum Institut · DKUniversity of Alabama at Birmingham · USUppsala University · SEAgency for Science, Technology and Research · SGGenome Institute of Singapore · SGKarolinska University Hospital · SEUniversity of California, San Francisco · US

Funding

Molecular Epidemiology of non Hodgkin's LymphomaR01CA087014 · NCI · UNIVERSITY OF CALIFORNIA SAN FRANCISCO · PI HOLLY, ELIZABETH A. · 2001 to 2005
$6.7M
A Genome-Wide Association Study of Non-Hodgkin LymphomaR01CA122663 · NCI · UNIVERSITY OF CALIFORNIA BERKELEY · PI SKIBOLA, CHRISTINE F. · 2006 to 2010
$2.7M
Genetic Susceptibility to Non-Hodgkins LymphomaR01CA104682 · NCI · UNIVERSITY OF CALIFORNIA BERKELEY · PI SKIBOLA, CHRISTINE F. · 2003 to 2012
$2.6M
Resequencing and Functional Studies to Identify Causal Gene Variants of LymphomaR01CA154643 · NCI · UNIVERSITY OF CALIFORNIA BERKELEY · PI ZHANG, JIANQING · 2011 to 2014
$2.4M
Energy balance and nutrigenetic analysis of non-Hodgkin lymphomaR03CA143947 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BRACCI, PAIGE M. · 2010 to 2011
$152k
Non-Hodgkin lymphoma in women: reproductive, hormonal and genetic factorsR03CA150037 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BRACCI, PAIGE M. · 2010 to 2011
$152k
NCI NIH HHS 5R01 CA69669-02NCI NIH HHS R01 CA087014NCI NIH HHS R01 CA104682NCI NIH HHS R01CA104682NCI NIH HHS R01 CA122663NCI NIH HHS R01CA122663NCI NIH HHS R01 CA154643NCI NIH HHS R01CA154643NCI NIH HHS R01CA87014NCI NIH HHS R03 CA143947NCI NIH HHS R03CA143947NCI NIH HHS R03 CA150037NCI NIH HHS R03CA150037
6 · The paper itself

Abstract

backgroundSurvival in follicular lymphoma (FL) is highly variable, even within prognostic groups defined by tumor grade and the Follicular Lymphoma International Prognostic Index. Studies suggest that germline single nucleotide polymorphisms (SNPs) may hold prognostic information but further investigation is needed.

methodsWe explored the association between SNPs and FL outcome using two approaches: 1) Two independent genome-wide association studies (GWAS) of ~300.000 SNPs followed by a meta-analysis encompassing 586 FL patients diagnosed in Denmark/Sweden 1999-2002 and in the United States 2001-2006; and 2) Investigation of 22 candidate-gene variants previously associated with FL outcome in the Danish/Swedish cohort (N = 373). We estimated time to lymphoma-specific death (approach 1 and 2) and lymphoma progression (approach 2) with hazard ratios (HR) and 95% confidence intervals (CI) in a multivariable Cox regression model.

resultsIn the GWAS meta-analysis, using a random effects model, no variants were associated with lymphoma-specific death at a genome-wide significant level (p < 5.0 ×10(-8)). The strongest association was observed for tightly linked SNPs on 17q24 near the ABCA10 and ABCA6 genes (rs10491178 HRrandom = 3.17, 95% CI 2.09-4.79, prandom = 5.24 ×10(-8)). The ABCA10 and ABCA6 genes belong to a family of genes encoding for ABC transporter proteins, implicated in multidrug resistance. In line with a previous study, rs2466571 in CD46 (HR = 0.73, 95% CI 0.58-0.91, p = 0.006) showed nominal association with lymphoma progression, as did two highly linked SNPs in IL8 (rs4073 HR = 0.78, 95% CI 0.62-0.97, p = 0.02; rs2227307 HR = 0.75, 95% CI 0.60-0.94, p = 0.01) previously associated with overall survival.

conclusionsThe results suggest a possible role for multidrug resistance in FL survival and add to the evidence that genetic variation in CD46 and IL8 may have prognostic implications in FL. Our findings need further confirmation in other independent populations or in a larger multicenter GWAS.

Indexed as

AdolescentAdultAgedATP-Binding Cassette TransportersFemaleGenome-Wide Association StudyHumansInterleukin-8Lymphoma, FollicularMaleMembrane Cofactor ProteinMeta-Analysis as TopicMiddle AgedPolymorphism, Single NucleotideSurvival AnalysisYoung AdultABCA10 protein, humanABCA6 protein, humanATP-Binding Cassette TransportersCD46 protein, humanCXCL8 protein, humanInterleukin-8Membrane Cofactor Protein

Identifiers

PMID25294155
PMCPMC4411784
OpenAlexW2164057467

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.