Evidence map›Paper›PMID 22296171›Full record

ArticleTissue antigens2012

Multi-locus HLA class I and II allele and haplotype associations with follicular lymphoma.

C F Skibola, N K Akers, L Conde, M Ladner, S K Hawbecker, F Cohen, F Ribas, H A Erlich, D Goodridge, E A Trachtenberg and 2 more

Abstract read
In one paragraph

Article in Tissue antigens, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 11% 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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Genetic barriers in transplantation medicine.World journal of transplantation · 2016
    Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Next-generation HLA sequencing using the 454 GS FLX system.Methods in molecular biology (Clifton, N.J.) · 2013
    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

12 authors at 4 institutions in 1 country.

C F SkibolaDivision of Environmental Health Sciences, School of Public Health, University of California, Berkeley, CA 94720-7356, USA. chrisfs@berkeley.edu
N K Akers
L Conde
M Ladner
S K Hawbecker
F Cohen
F Ribas
H A Erlich
D Goodridge
E A Trachtenberg
M T Smith
P M Bracci
University of California, Berkeley · USBerkeley Public Health Division · USGeneTrace Systems (United States) · USUniversity of California, San Francisco · US

Funding

Training CoreP42ES004705 · NIEHS · UNIVERSITY OF CALIFORNIA BERKELEY · PI MORELLO-FROSCH, RACHEL ADELE · 1987 to 2025
$74.6M
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
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 CA122663NCI NIH HHS CA154643-01A1NCI NIH HHS CA89745NCI NIH HHS R01 CA045614NCI NIH HHS R01 CA104682NCI NIH HHS R01 CA122663NCI NIH HHS R01 CA154643NCI NIH HHS R03 CA089745NIEHS NIH HHS P42 ES004705
6 · The paper itself

Abstract

Follicular lymphoma (FL) is an indolent, sometimes, fatal disease characterized by recurrence at progressively shorter intervals and is frequently refractive to therapy. Genome-wide association studies have identified single nucleotide polymorphisms (SNPs) in the human leukocyte antigen (HLA) region on chromosome 6p21.32-33 that are statistically significantly associated with FL risk. Low to medium resolution typing of single or multiple HLA genes has provided an incomplete picture of the total genetic risk imparted by this highly variable region. To gain further insight into the role of HLA alleles in lymphomagenesis and to investigate the independence of validated SNPs and HLA alleles with FL risk, high-resolution HLA typing was conducted using next-generation sequencing in 222 non-Hispanic White FL cases and 220 matched controls from a larger San Francisco Bay Area population-based case-control study of lymphoma. A novel protective association was found between the DPB1*03:01 allele and FL risk [odds ratio (OR) = 0.39, 95% confidence interval (CI) = 0.21-0.68]. Extended haplotypes DRB1*01:01-DQA1*01:01-DQB1*05:01 (OR = 2.01, 95% CI = 1.22-3.38) and DRB1*15-DQA1*01-DQB1*06 (OR = 0.55, 95% CI = 0.36-0.82) also influenced FL risk. Moreover, DRB1*15-DQA1*01-DQB1*06 was highly correlated with an established FL risk locus, rs2647012. These results provide further insight into the critical roles of HLA alleles and SNPs in FL pathogenesis that involve multi-locus effects across the HLA region.

Indexed as

AllelesGenetic Predisposition to DiseaseAdultAgedAged, 80 and overFemaleHaplotypesHistocompatibility Antigens Class IHistocompatibility Antigens Class IIHumansLymphoma, FollicularMaleMiddle AgedHistocompatibility Antigens Class IHistocompatibility Antigens Class II

Identifiers

PMID22296171
PMCPMC3293942
OpenAlexW2071181689

What OpenQuestion holds

Textmetadata
LicenceTDM
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.