Genetic susceptibility of

Xiaoqing Cao, Yong Wang, Yurou Kang, Muhammad Usman Abubakar, Yanli Yang, Daihua Fang, Bangshun He

Abstract read

In one paragraph

Article in Global medical genetics, 2025. 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

7 authors.

Xiaoqing CaoDepartment of Laboratory Medicine, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu Province 210006, China.

Yong WangDepartment of Laboratory Medicine, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu Province 210006, China.

Yurou KangDepartment of Laboratory Medicine, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu Province 210006, China.

Muhammad Usman AbubakarDepartment of Clinical Pharmacy, School of Basic Medicine and Clinical Pharmacy, Pharmaceutical University, Nanjing, Jiangsu Province 211198, China.

Yanli YangDepartment of Laboratory Medicine, Children's Hospital of Nanjing Medical University, Nanjing, Jiangsu Province 210008, China.

Daihua FangDepartment of Blood Transfusion, The Affiliated Xuzhou Children's Hospital of Xuzhou Medical University, Xuzhou, Jiangsu Province 221006, China.

Bangshun HeDepartment of Laboratory Medicine, Nanjing First Hospital, Nanjing Medical University, Nanjing, Jiangsu Province 210006, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to evaluate the association of single nucleotide polymorphisms (SNPs) in Methods: A case-control study was conducted involving 360 ALL patients and 398 healthy controls. Nine SNPs were genotyped, and their associations with ALL risk were analyzed using logistic regression under various genetic models. Multifactor dimensionality reduction (MDR) analysis was employed to investigate SNP-SNP interactions. Results: Seven of the nine SNPs were significantly associated with ALL susceptibility. Specifically, Conclusion: Specific SNPs in

Indexed as

Acute lymphoblastic leukemiaSingle nucleotide polymorphismSNP-SNP interaction

Identifiers

PMID41488748

DOI10.1016/j.gmg.2025.100084

PMCPMC12755977

What OpenQuestion holds

Textmetadata

LicenceCC BY

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Registered trials

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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.