ReviewLeukemia2026
Role of common host genome variants in Childhood Acute Lymphoblastic Leukemia.
Review in Leukemia, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
19 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Childhood acute lymphoblastic leukemia (ALL) is a genetically heterogeneous disease, and while somatic alterations inform diagnosis and treatment stratification, germline variants - particularly common host genome variants - rarely influence clinical care. Over the past decade, various host genome variant studies have uncovered numerous common variants associated with ALL susceptibility, treatment efficacy, and toxicity risk. Yet, less than a handful have reached clinical implementation, with TPMT and NUDT15 variants being the only ones widely used clinically. Whether a variant can be readily translated into the clinical setting primarily depends on four features: (1) Phenotype severity, (2) phenotype rarity and the proportion of cases (overall or in subsets of patients) accounted for by genetic variants, (3) the application of the variant as an add-on clinical decision support tool, and (4) the availability, cost, and potential side effects of interventions and/or prophylaxis. Key barriers for such clinical translation include insufficient effect sizes, lack of replication across diverse populations, and lack of well-established treatment modification strategies. However, large-scale international collaborations can generate the necessary statistical power, including enabling more complex bioinformatic approaches, such as polygenic risk scores and more advanced machine learning strategies. In this review, we outline the necessary steps toward bridging the gap between genetic discovery and clinical practice.
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Registered trials
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.