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Gender-specific differences in expression in human lymphoblastoid cell lines.

ABSTRACT: Women and men have different risks for certain diseases and they often respond differently to treatment. These differences could be due to the sex-specific differences in the expression of genes related to primary disease susceptibility or pharmacodynamic targets. To evaluate the sex-specific pattern of gene expression, we compared gene expression levels using a publicly available microarray dataset of 233 (115 women and 118 men) lymphoblastoid cell lines. From the 4799 probes meeting a specified minimal level of expression, 10 genes (P<0.005, permutation adjusted false discovery rate less than 50%) located on autosomal chromosomes were identified using a permutation-based approach. These genes were found to be over-represented in certain gene ontology terms of biological process (cell adhesion, apoptosis, transcription and signal transduction), and molecular function (structural molecule activity, zinc ion binding, transcription factor activity and protein binding). A Kyoto Encyclopedia of Genes and Genomes pathway analysis indicated that two known pathways are over-represented: adherens junction and cytokine-cytokine receptor interaction.

SUBMITTER: Zhang W

PROVIDER: S-EPMC2716706 | biostudies-literature | 2007 Jun

REPOSITORIES: biostudies-literature

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Gender-specific differences in expression in human lymphoblastoid cell lines.

Zhang Wei W Bleibel Wasim K WK Roe Cheryl A CA Cox Nancy J NJ Eileen Dolan M M

Pharmacogenetics and genomics 20070601 6

Women and men have different risks for certain diseases and they often respond differently to treatment. These differences could be due to the sex-specific differences in the expression of genes related to primary disease susceptibility or pharmacodynamic targets. To evaluate the sex-specific pattern of gene expression, we compared gene expression levels using a publicly available microarray dataset of 233 (115 women and 118 men) lymphoblastoid cell lines. From the 4799 probes meeting a specifie ...[more]

PMID: 17502836

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Project description:BackgroundStatins are widely prescribed to lower plasma low-density lipoprotein cholesterol levels. Though statins reduce cardiovascular disease risk overall, statin efficacy varies, and some people experience adverse side effects while on statin treatment. Statins also have pleiotropic effects not directly related to their cholesterol-lowering properties, but the mechanisms are not well understood. To identify potential genetic modulators of clinical statin response, we looked for genetic variants associated with statin-induced changes in gene expression (differential eQTLs or deQTLs) in lymphoblastoid cell lines (LCLs) derived from participants of the Cholesterol and Pharmacogenetics (CAP) 40 mg/day 6-week simvastatin clinical trial. We exposed CAP LCLs to 2 μM simvastatin or control buffer for 24 h and performed polyA-selected, strand-specific RNA-seq. Statin-induced changes in gene expression from 259 European ancestry or 153 African American ancestry LCLs were adjusted for potential confounders prior to association with genotyped and imputed genetic variants within 1 Mb of each gene's transcription start site.ResultsFrom the deQTL meta-analysis of the two ancestral populations, we identified significant cis-deQTLs for 15 genes (TBC1D4, MDGA1, CHI3L2, OAS1, GATM, ASNSD1, GLUL, TDRD12, PPIP5K2, OAS3, SERPINB1, ANKDD1A, DTD1, CYFIP2, and GSDME), eight of which were significant in at least one of the ancestry subsets alone. We also conducted eQTL analyses of the endogenous (control-treated), statin-treated, and average of endogenous and statin-treated LCL gene expression levels. We identified eQTLs for approximately 6000 genes in each of the three (endogenous, statin-treated, and average) eQTL meta-analyses, with smaller numbers identified in the ancestral subsets alone.ConclusionsSeveral of the genes in which we identified deQTLs have functions in human health and disease, such as defense from viruses, glucose regulation, and response to chemotherapy drugs. This suggests that DNA variation may play a role in statin effects on various health outcomes. These findings could prove useful to future studies aiming to assess benefit versus risk of statin treatment using individual genetic profiles.

Dataset Information

Gender-specific differences in expression in human lymphoblastoid cell lines.

Publications

Gender-specific differences in expression in human lymphoblastoid cell lines.

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