Evidence map›Paper›PMID 26941364›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2016

Pathway Analysis of Genome-wide Association Study in Childhood Leukemia among Hispanics.

Ling-I Hsu, Farren Briggs, Xiaorong Shao, Catherine Metayer, Joseph L Wiemels, Anand P Chokkalingam, Lisa F Barcellos

Open access · bronzeAbstract read
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.2field-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

10 citing papers in PubMed, 15 citations in OpenAlex.

  1. Modulation of theInternational journal of molecular sciences · 2025
    Trial
  2. Article
  3. Article
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  5. Review
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  7. Review
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  10. Novel Gene and Network Associations Found for Acute Lymphoblastic Leukemia Using Case-Control and Family-Based Studies in Multiethnic Populations.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2017
    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

7 authors at 1 institution in 1 country.

Ling-I HsuSchool of Public Health, University of California, Berkeley, Berkeley, California. lingi.hsu@berkeley.edu.
Farren BriggsDepartment of Epidemiology and Biostatistics, School of Medicine, Case Western Reserve University, Cleveland, Ohio.
Xiaorong ShaoSchool of Public Health, University of California, Berkeley, Berkeley, California.
Catherine MetayerSchool of Public Health, University of California, Berkeley, Berkeley, California.
Joseph L WiemelsDepartment of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California.
Anand P ChokkalingamSchool of Public Health, University of California, Berkeley, Berkeley, California.
Lisa F BarcellosSchool of Public Health, University of California, Berkeley, Berkeley, California.
University of California, San Francisco · US

Funding

Training CoreP42ES004705 · NIEHS · UNIVERSITY OF CALIFORNIA BERKELEY · PI MCHALE, CLIONA · 1987 to 2025
$74.6M
Environmental and Molecular Epidemiology of Childhood LeukemiaR01ES009137 · NIEHS · UNIVERSITY OF CALIFORNIA BERKELEY · PI METAYER, CATHERINE · 1999 to 2013
$21.1M
Training in Molecular& Genetic Epidemiology of CancerR25CA112355 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI WITTE, JOHN S. · 2005 to 2018
$6.5M
NCI NIH HHS R25 CA112355NIEHS NIH HHS P42 ES004705NIEHS NIH HHS R01 ES009137
6 · The paper itself

Abstract

backgroundThe incidence of acute lymphoblastic leukemia (ALL) is nearly 20% higher among Hispanics than non-Hispanic Whites. Previous studies have shown evidence for association between risk of ALL and variation within IKZF1, ARID5B, CEBPE, CDKN2A, GATA3, and BM1-PIP4K2A genes. However, variants identified only account for <10% of the genetic risk of ALL.

methodsWe applied pathway-based analyses to genome-wide association study (GWAS) data from the California Childhood Leukemia Study to determine whether different biologic pathways were overrepresented in childhood ALL and major ALL subtypes. Furthermore, we applied causal inference and data reduction methods to prioritize candidate genes within each identified overrepresented pathway, while accounting for correlation among SNPs.

resultsPathway analysis results indicate that different ALL subtypes may involve distinct biologic mechanisms. Focal adhesion is a shared mechanism across the different disease subtypes. For ALL, the top five overrepresented Kyoto Encyclopedia of Genes and Genomes pathways include axon guidance, protein digestion and absorption, melanogenesis, leukocyte transendothelial migration, and focal adhesion (PFDR < 0.05). Notably, these pathways are connected to downstream MAPK or Wnt signaling pathways which have been linked to B-cell malignancies. Several candidate genes for ALL, such as COL6A6 and COL5A1, were identified through targeted maximum likelihood estimation.

conclusionsThis is the first study to show distinct biologic pathways are overrepresented in different ALL subtypes using pathway-based approaches, and identified potential gene candidates using causal inference methods. IMPACT: The findings demonstrate that newly developed bioinformatics tools and causal inference methods can provide insights to furthering our understanding of the pathogenesis of leukemia. Cancer Epidemiol Biomarkers Prev; 25(5); 815-22. ©2016 AACR.

Indexed as

Case-Control StudiesGenome-Wide Association StudyGenotypeHispanic or LatinoHumansMiddle AgedPrecursor Cell Lymphoblastic Leukemia-Lymphoma

Identifiers

PMID26941364
PMCPMC4873450
OpenAlexW2292630779

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.