Evidence map›Paper›PMID 23025665›Full record

SynthesisBMC genomics2012

A meta-analysis of genome-wide association studies of follicular lymphoma.

Christine F Skibola, Lucia Conde, Jia-Nee Foo, Jacques Riby, Keith Humphreys, Fenna C M Sillé, Hatef Darabi, Sylvia Sanchez, Henrik Hjalgrim, Jianjun Liu and 2 more

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in BMC genomics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 19% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 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

12 authors at 6 institutions in 4 countries.

Christine F SkibolaSchool of Public Health, Division of Environmental Health Sciences, University of California, Berkeley, 94720, USA. chrisfs@berkeley.edu
Lucia Conde
Jia-Nee Foo
Jacques Riby
Keith Humphreys
Fenna C M Sillé
Hatef Darabi
Sylvia Sanchez
Henrik Hjalgrim
Jianjun Liu
Paige M Bracci
Karin E Smedby
University of California, Berkeley · USKarolinska Institutet · SEAgency for Science, Technology and Research · SGGenome Institute of Singapore · SGStatens Serum Institut · DKUniversity of California, San Francisco · US

Funding

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
DETERMINANTS OF THE SECULAR INCREASE IN NHLR01CA069269 · NCI · STATENS SERUM INSTITUT · PI MELBYE, MADS · 1998 to 2000
$644k
EPIDEMIOLOGY OF NON HODGKINS'S LYMPHOMA DATA ANALYSISR03CA089745 · NCI · UNIVERSITY OF CALIFORNIA SAN FRANCISCO · PI HOLLY, ELIZABETH A. · 2001 to 2002
$148k
EPIDEMIOLOGY OF NON-HODGKIN'S LYMPHOMA &RETROVIRAL TESTR01CA045614 · NCI · UNIVERSITY OF CALIFORNIA SAN FRANCISCO · PI HOLLY, ELIZABETH A. · 1988 to 1992
–
NCI NIH HHS CA104682NCI NIH HHS CA122663,NCI NIH HHS CA154643-01A1NCI NIH HHS CA45614NCI NIH HHS CA69269-02NCI NIH HHS CA89745
6 · The paper itself

Abstract

backgroundB-cell non-Hodgkin lymphoma represents a diverse group of hematological malignancies, of which follicular lymphoma (FL) is one of the most common subtypes. Family and epidemiological studies suggest an important genetic role in the etiology of FL. In recent genome-wide association studies (GWAS) of FL, several genetic susceptibility loci have been identified on chromosome 6p21.33 (rs6457327) and 6p21.32 (rs10484561, rs2647012) in the human leukocyte antigen class I and class II regions. To identify new genetic variants and further elucidate the genetic basis of FL, a meta-analysis was performed of the top 1000 SNPs associated with FL risk from two GWAS in the US, Denmark and Sweden (592 cases, 1541 controls), with independent validation in 107 cases and 681 controls.

resultsrs9275517 and rs3117222 in the HLA class II region were validated and inversely associated with FL risk (rs9275517: OR = 0.63, 95% CI = 0.55-0.73, p = 4.03 × 10(-11); rs3117222: OR = 0.66, 95% CI = 0.57-0.77, p = 1.45 × 10(-7)). rs9275517, which is in high linkage disequilibrium with rs2647012 (r2 = 0.9), was no longer associated with FL after conditioning on rs2647012. The rs3117222 association was independent of established FL SNPs, but not of the HLA-DPB1*0301 allele. Using publicly available gene expression profiles with matching genotype information, we found that rs3117222 also was significantly correlated with increased HLA-DPB1 expression.

conclusionsBy performing a meta-analysis of two GWAS of FL, we further validated the relevance of HLA-DPB1*0301 as a protective allele in the pathogenesis of FL. Moreover, the protective rs3117222 A allele correlated with increased levels of HLA-DPB1, suggesting a possible disease mechanism involving HLA-DPB1 expression regulation. Our results add further support to the major role of HLA genetic variation in the pathogenesis of FL.

Indexed as

AllelesGenetic LociGenetic Predisposition to DiseasePolymorphism, Single NucleotideCase-Control StudiesFemaleGene Expression RegulationGenome-Wide Association StudyHLA-DP beta-ChainsHumansLinkage DisequilibriumLymphoma, FollicularMaleRiskHLA-DPB1 antigenHLA-DP beta-Chains

Identifiers

PMID23025665
PMCPMC3534234
OpenAlexW2099247633

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.