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The gene expression in cells is regulated at different stages: (i) transcription, (ii) RNA processing, (iii) RNA localization, and (iv) translation. Transcriptional regulation is mediated by regulatory proteins such as transcription factors, activators, or repressors—these control gene expression by initiating or inhibiting the transcription of genes. Once a precursor or pre-mRNA is produced, it undergoes post-transcriptional modification, including 5' capping, splicing, and the...
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A gene is a stretch of DNA that serves as the blueprint for functional RNAs and proteins. Since DNA is comprised  of nucleotides and proteins are comprised of amino acids, a mediator is required to convert the information encoded in DNA into proteins. This mediator is the messenger RNA (mRNA). mRNA copies the blueprint from DNA by a process called transcription. In eukaryotes, transcription occurs in the nucleus by complementary base-pairing with the DNA template. The mRNA is then...
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Co-expression analysis reveals interpretable gene modules controlled by trans-acting genetic variants.

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Detecting trans-acting expression quantitative trait loci (trans-eQTLs) is challenging. This study used co-expression modules to identify a novel trans-eQTL near SLC39A8, improving disease variant analysis in blood cells.

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Area of Science:

  • Genetics
  • Systems Biology
  • Immunology

Background:

  • Understanding genetic contributions to disease requires identifying regulatory variants.
  • Trans-acting expression quantitative trait loci (trans-eQTLs) link genetic variants to gene expression changes but are difficult to detect due to small effect sizes.
  • Novel therapeutic strategies depend on elucidating causal pathways in disease onset and progression.

Purpose of the Study:

  • To develop and apply a robust method for detecting trans-eQTLs in diverse human blood cell types.
  • To identify novel trans-eQTLs that regulate cellular processes relevant to disease.
  • To investigate the temporal dynamics of cis- and trans-eQTL effects.

Main Methods:

  • Analysis of gene expression and genotype data from six blood cell types (226-710 individuals).
  • Inference of co-expression modules using five distinct methods.
  • Application of co-expression modules as traits in trans-eQTL analysis to enhance statistical power and interpretability.
  • Functional enrichment analysis to prioritize identified trans-eQTLs.

Main Results:

  • Replication of three previously established trans-eQTL associations.
  • Discovery of a novel trans-eQTL near SLC39A8, regulating a module of metallothionein genes in lipopolysaccharide (LPS)-stimulated monocytes.
  • Identification of a transient cis-eQTL mediating the novel trans-eQTL effect, observed only during early LPS response.

Conclusions:

  • Co-expression module analysis significantly improves the identification and prioritization of trans-eQTLs.
  • The findings highlight the importance of cell-type-specific and temporal analyses for understanding gene regulation.
  • This approach facilitates the discovery of genetic variants influencing cellular functions and disease pathways.