Summary Statistics and Gene List from a cis-eQTL Analysis of Cellular Senescence-Related Genes

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Authors: Zhicong Huang, Zhang, Xiangyu
Cited by: 0

Abstract

This dataset contains the key genetic instruments and summary-level data used in a Mendelian Randomization (MR) study investigating the causal relationship between cellular senescence and kidney stone disease (KSD). Data Source and Generation: The data were derived from a summary-data-based Mendelian Randomization (SMR) analysis. We utilized cis-expression quantitative trait loci (cis-eQTL) summary statistics from the eQTLGen Consortium (Phase II) as the exposure. Genetic variants associated with the expression of Cellular Senescence-Related (CSR) genes (sourced from the CellAge database) at a genome-wide significance threshold (P < 5×10⁻⁸) were selected. Dataset Contents: The dataset primarily consists of two core components: Significant cis-eQTL Summary Statistics:​ A list of all independent single-nucleotide polymorphisms (SNPs) that were significantly associated with the expression of CSR genes, used as instrumental variables in the main MR analysis. The file includes SNP identifiers (RSID), effect alleles, other alleles, effect sizes (beta), standard errors, P-values, and other relevant statistics. Curated CSR Gene List:​ The final list of CSR genes that were carried forward for analysis after harmonizing identifiers from the CellAge database with the eQTLGen data.

Fields of Study & Subjects

Genetic Associations and Epidemiology Kidney Stones and Urolithiasis Treatments Genetic Mapping and Diversity in Plants and Animals

Publication details

Journal / source
Figshare
Publication date
1 January 2026
Document type
Dataset