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Updated: Apr 17, 2026

Candidate Gene Testing in Clinical Cohort Studies with Multiplexed Genotyping and Mass Spectrometry
Published on: June 21, 2018
CYP3A5 ∗ 3 genetic polymorphism is associated with childhood acute lymphoblastic leukemia risk: A meta-analysis
Li-Min Ma, Hong-Chao Liu1, Lin-Hai Ruan
1Medical College, Henan University of Science and Technology, Henan, China.
Background:
Several studies have investigated the association between CYP3A5 FNx01 3 genetic polymorphism and acute lymphoblastic leukemia (ALL) risk in children, but have yielded controversial results. Therefore, we performed a meta-analysis to evaluate synthetically the effect of CYP3A5 FNx01 3 polymorphism on the risk of ALL in children.
Methods:
Case-control studies investigating the relationship between CYP3A5 FNx01 3 genetic polymorphism and ALL risk in children were included. Odds ratios (ORs) with 95% confidence intervals (CIs) were calculated to assess the strength of association between CYP3A5 FNx01 3 polymorphism and ALL risk in children. Q-statistic test was used to evaluate the heterogeneity and publication bias was assessed through funnel plot.
Results:
In total, five case-control studies with 1070 cases and 1125 controls were included in the meta-analysis. Based on the results of heterogeneity, fixed-effects or random-effects models were applied to estimate the pooled ORs. The pooled ORs (95% CIs) for CYP3A5 FNx01 3 heterozygous mutant, homozygous mutant, and (heterozygous + homozygous) mutant were 1.47 (0.97-2.21), 1.05 (0.62-1.79), and 1.67 (1.14-2.44) with P = 0.07, 0.86, and 0.009, respectively. In subgroup analysis, the Z values of CYP3A5 FNx01 3 (heterozygous + homozygous) mutant and children with ALL in Asian and Caucasian populations were 1.34 and 2.51 with P = 0.18 and 0.01, respectively. No significant publication bias was detected by funnel plot.
Conclusions:
The current meta-analysis showed that there was association between CYP3A5 FNx01 3 polymorphism and the altered risk of ALL in children, especially in Caucasian populations.
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