Evidence map›Paper›PMID 42465884›Full record

ArticlemedRxiv : the preprint server for health sciences2026

Gene-Temperature Interactions and Risk of Childhood Acute Lymphoblastic Leukemia.

Tormod Rogne, Rong Wang, Pin Wang, Kai Chen, Shuangge Ma, Joshua L Warren, Catherine Metayer, Joseph L Wiemels, Andrew T DeWan, Xiaomei Ma

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Tormod RogneDepartment of Community Medicine and Global Health, University of Oslo, Oslo, Norway.ORCID 0000-0002-9581-7384
Rong WangDepartment of Chronic Disease Epidemiology, Yale School of Public Health, Yale University, New Haven, CT, USA.
Pin WangDepartment of Global, Environmental, and Occupational Health, School of Public Health, University of Maryland, College Park, MD, USA.
Kai ChenDepartment of Environmental Health Sciences, Yale School of Public Health, Yale University, New Haven, CT, USA.
Shuangge MaDepartment of Biostatistics, Yale School of Public Health, Yale University, New Haven, CT, USA.
Joshua L WarrenDepartment of Biostatistics, Yale School of Public Health, Yale University, New Haven, CT, USA.
Catherine MetayerDivision of Epidemiology, School of Public Health, University of California, Berkeley, CA, USA.
Joseph L WiemelsCenter for Genetic Epidemiology, Department of Population and Public Health Sciences, University of Southern California Keck School of Medicine, Los Angeles, CA, USA.
Andrew T DeWanDepartment of Chronic Disease Epidemiology, Yale School of Public Health, Yale University, New Haven, CT, USA.ORCID 0000-0002-7679-8704
Xiaomei MaDepartment of Chronic Disease Epidemiology, Yale School of Public Health, Yale University, New Haven, CT, USA.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Genome-Wide Association Study of Childhood Leukemia by Hispanic StatusR01CA155461 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MA, XIAOMEI, WIEMELS, JOSEPH LEO · 2011 to 2014
$4.1M
Project 3 - Prenatal Exposures, Constitutive Genetics, DNA Methylation & Childhood LeukemiaP50ES018172 · NIEHS · UNIVERSITY OF CALIFORNIA BERKELEY · PI METAYER, CATHERINE · 2015 to 2019
$3.8M
NCATS NIH HHS UL1 TR001863NCI NIH HHS HHSN261201800009CNCI NIH HHS HHSN261201800009INCI NIH HHS HHSN261201800015CNCI NIH HHS HHSN261201800015INCI NIH HHS HHSN261201800032CNCI NIH HHS HHSN261201800032INCI NIH HHS R01 CA155461NIEHS NIH HHS P50 ES018172
6 · The paper itself

Abstract

Background: High ambient temperature in early pregnancy has been linked to an increased risk of childhood acute lymphoblastic leukemia (ALL). To better understand biological mechanisms, the current study evaluated potential interaction between temperature and genetic characteristics. Methods: We used data from California birth records (1982-2008) and California Cancer Registry (1988-2011) to identify ALL cases (n=3,353) diagnosed ≤14 years of age and non-cancer controls (n=3,530) matched 1:1 on sex, race, ethnicity, and birth year and month. Weekly ambient temperatures throughout pregnancy were assessed on a 1-km grid around the birth address, while genetic data were available from a genome-wide association study using neonatal blood spots. We evaluated the association between ambient temperature and ALL risk by quartiles of established genetic risk score for ALL. Next, we formally tested gene-temperature interactions in the association with ALL, correcting for multiple testing, for genes previously identified with epigenetic changes due to both temperature and ALL. All analyses were adjusted for potential confounders. Results: The elevated risk of ALL per 5 °C increase of weekly mean ambient temperature, confined to early pregnancy, was more pronounced among children with the lowest genetic susceptibility to ALL, especially among Latino children (first quartile: odds ratio [OR] = 1.50, 95% confidence interval [CI]: 1.14-1.97); fourth quartile: OR=1.03, 95% CI: 0.83-1.28). There were significant interactions (p<0.002) between ambient temperature and polymorphisms in Conclusions: Our findings suggest that there may be interactions between ambient temperature in early pregnancy and offspring genotype in the risk of childhood ALL. Impact: If replicated, these findings could help elucidate the biological mechanisms linking high ambient temperature in early pregnancy and the risk of childhood ALL.

Identifiers

PMID42465884
PMCPMC13370497

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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.