Genome-wide DNA Methylation and Gene Expression Analyses of Monozygotic Twins Discordant for IQ Levels
News Oct 24, 2012
Human intelligence, as measured by intelligence quotient (IQ) tests, demonstrates one of the highest heritabilities among human quantitative traits. Nevertheless, studies to identify quantitative trait loci responsible for intelligence face challenges because of the small effect sizes of individual genes. Phenotypically discordant monozygotic (MZ) twins provide a feasible way to minimize the effects of irrelevant genetic and environmental factors, and should yield more interpretable results by finding epigenetic or gene expression differences between twins. Here we conducted array-based genome-wide DNA methylation and gene expression analyses using 17 pairs of healthy MZ twins discordant intelligently. ARHGAP18, related to Rho GTPase, was identified in pair-wise methylation status analysis and validated via direct bisulfite sequencing and quantitative RT-PCR. To perform expression profile analysis, gene set enrichment analysis (GSEA) between the groups of twins with higher IQ and their co-twins revealed up-regulated expression of several ribosome-related genes and DNA replication-related genes in the group with higher IQ. To focus more on individual pairs, we conducted pair-wise GSEA and leading edge analysis, which indicated up-regulated expression of several ion channel-related genes in twins with lower IQ. Our findings implied that these groups of genes may be related to IQ and should shed light on the mechanism underlying human intelligence.
This article is published online in PLoS One and is free to access.
Fabric Genomics Partners to Improve Pediatric CareNews
Partnerships with Genomics England, Rady Children's Institute for Genomic Medicine, and The Utah Genome Project demonstrate diagnostic utility of Fabric Genomics' algorithm-based genome analysis.READ MORE
Edico Genome and Fabric Genomics Develop Integrated Solution for Genomics AnalysisNews
Industry leaders partner to provide streamlined variant data analysis solution, with the goal of improving clinical care.READ MORE
Overexpression of a Cell-cycle Activator Gene Enhances Repair of Dead Heart MuscleNews
Biomedical engineers report a significant advance in efforts to repair a damaged heart after a heart attack, using grafted heart-muscle cells to create a repair patch.READ MORE
Comments | 0 ADD COMMENT
Annual Conference on Antimicrobials and Drug Resistance
Sep 24 - Sep 25, 2018