Data Sheet 1: KIR and HLA-B SNP Associations with Hepatitis C Virus Infection

1881 individuals participated in a case-control study investigating the impact of five single nucleotide polymorphisms on hepatitis C virus infection. Logistic regression analysis revealed that KIR3DL1/3DS1 rs613491 CC and HLA-B rs1131170 CC were associated with increased susceptibility to HCV. The dataset, authored by Wen Yin and last updated in 2026, contains the results of this multivariable analysis, including odds ratios and confidence intervals.

Use Cases

• Replicate genetic association analysis based on the five SNPs (KIR3DL1/3DS1 rs613491, rs605219, rs620977 and HLA-B rs3819288, rs1131170) described.
• Validate bioinformatics predictions about SNP regulatory potential and mRNA secondary structure alteration mentioned in the study.
• Conduct stratified subgroup analysis of HCV susceptibility based on the genetic and demographic confounders referenced.
• Perform meta-analysis combining these SNP association results with other genetic studies on HCV infection.

Strengths

• Includes data from 1881 individuals, providing a substantial sample size for a genetic association study.
• Analysis employed multivariable logistic regression adjusting for established confounders, enhancing result reliability.
• Results include specific odds ratios and confidence intervals (e.g., OR=3.13, 95% CI=1.90-5.17) for key SNP associations.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for specific analytical tasks.
• Data may reflect geographic or demographic bias inherent to the specific case-control study population.

Provenance

Source

Wen Yin

Collection Method

Case-control study with SNP genotyping and multivariable logistic regression analysis.

Freshness

Last updated 2026-05-12 05:26:46; freshness should be verified.