Table 1_CDKN2A/2B gene variants and gene-environment interactions increase the risk of ges

Yi Zhang's study presents genetic and environmental data from a case-control study of 1,566 pregnant women in Beijing, Wuhan, and Zunyi, China. The dataset includes analysis of CDKN2A/2B gene polymorphisms, haplotypes, and interactions with ozone and PM2.5 exposure related to gestational diabetes mellitus (GDM). The data was last updated on 2026-04 22 and is shared under a CC-BY-4.0 license.

Use Cases

• Training models to predict GDM risk based on genetic variants like rs23832080 and rs10811661.
• Analyzing gene-environment interaction effects using reported associations with ozone (O3) and PM2.5 exposure.
• Conducting haplotype-based association studies based on the reported AGC, AAT, and GAT haplotypes.

Strengths

• Includes data from a substantial cohort of 1,566 pregnant women.
• Reports specific, statistically significant genetic associations (e.g., rs10811661 P = 0.00055, OR = 0.746).
• Explicitly analyzes gene-environment interactions with two environmental factors (O3 and PM2.5).

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is very small (37.6 KB), suggesting limited scope, likely containing summary results rather than raw individual-level data.

Provenance

Source

figshare, author Yi Zhang.

Collection Method

Case-control study using targeted next-generation sequencing and logistic regression analysis.

Time Range

null

Freshness

Last updated 2026-04-22 05:46:30; freshness should be verified.

Geography

Data collected from pregnant women in Beijing, Wuhan, and Zunyi, China.