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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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Functional Characterization of Genetic Variant Effects on Expression.

Elise D Flynn1,2, Tuuli Lappalainen1,2,3

  • 1New York Genome Center, New York, NY, USA; email: eflynn@nygenome.org, tlappalainen@nygenome.org.

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|April 28, 2022
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Summary

Genome-wide association studies (GWAS) identify genetic variants linked to disease. This review focuses on expression quantitative trait loci (eQTLs) to interpret GWAS findings and understand gene regulation.

Keywords:
GWAScontext specificityeQTLfunctiongenetic variantmechanism

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Area of Science:

  • Genetics
  • Genomics
  • Molecular Biology

Background:

  • Genome-wide association studies (GWAS) have identified numerous common genetic variants associated with human disease risk and phenotypic variation.
  • A significant challenge is that most GWAS variants reside in noncoding genomic regions, making their regulatory functions and molecular mechanisms difficult to ascertain.

Purpose of the Study:

  • To review the utility of expression quantitative trait loci (eQTLs) in interpreting the mechanisms of GWAS variants.
  • To discuss the challenges and opportunities in eQTL analysis for understanding noncoding genetic variation.

Main Methods:

  • Literature review and synthesis of existing research on eQTLs and GWAS.
  • Analysis of the challenges in identifying causal variants, elucidating molecular mechanisms, and addressing context variability in eQTL studies.

Main Results:

  • eQTLs provide a powerful approach to link noncoding genetic variants to gene expression changes.
  • Key challenges include pinpointing causal variants within linkage disequilibrium blocks, determining specific molecular mechanisms, and accounting for cell-type or condition-specific effects.

Conclusions:

  • eQTL analysis is crucial for functionally characterizing disease-associated loci identified by GWAS.
  • Addressing eQTL-related challenges will advance our understanding of the noncoding genome's regulatory code and its role in human health and disease.