Replicating Insomnia-Associated Genes

To further replicate the authenticity of these identified insomnia-associated genes, we re-performed the Sherlock integrative analysis with the use of an independent eQTL dataset (i.e. 136 brain cortex samples) from GTEx portal (data release v7) [40 (link)]. RNA-sequencing was used for quantifying the level of RNA expression, and the Illumina OMNI 5M SNP Array was used for SNP genotyping. Based on the additive genetic model, eQTL analysis was conducted through the tool of Matrix eQTL [41 (link)] using linear regression analysis. For Sherlock Bayesian-based analysis, all the parameters were set to be the same with those in discovery eQTL data. The P values calculated from Sherlock were corrected with the application of the Bonferroni correction.

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Sun H., Zhang J., Ma Y, & Liu J. (2020). Integrative genomics analysis identifies five promising genes implicated in insomnia risk based on multiple omics datasets. Bioscience Reports, 40(9), BSR20201084.

Publication 2020

OMNI 5M SNP Array

Brain Cortex Genes Insomnia Rna expression

Corresponding Organization : Wenzhou Medical University

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Variable analysis

independent variables

EQTL dataset (i.e. 136 brain cortex samples) from GTEx portal (data release v7)
RNA-sequencing for quantifying the level of RNA expression
Illumina OMNI 5M SNP Array for SNP genotyping

dependent variables

Level of RNA expression

control variables

Additive genetic model for eQTL analysis
Parameters for Sherlock Bayesian-based analysis set to be the same as those in discovery eQTL data

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