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Related Concept Videos

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Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing  genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
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Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
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From GWAS to Function: Using Functional Genomics to Identify the Mechanisms Underlying Complex Diseases.

Eddie Cano-Gamez1, Gosia Trynka1,2

  • 1Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, United Kingdom.

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|June 2, 2020
PubMed
Summary
This summary is machine-generated.

Genome-wide association studies (GWAS) identify disease-linked genetic regions. Integrating GWAS with functional genomics helps pinpoint regulated genes and cell types, crucial for developing new drug targets for complex diseases.

Keywords:
GWASQTLSNP enrichmentTWAScolocalization analysiseQTLsingle-cell RNA seq

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Area of Science:

  • Genomics
  • Complex Trait Genetics
  • Functional Genomics

Background:

  • Genome-wide association studies (GWAS) have identified thousands of loci associated with complex traits and diseases.
  • A significant challenge is that most disease-associated loci are in non-coding regions, making it difficult to identify regulated genes, cell types, and physiological contexts.
  • This ambiguity hinders the translation of GWAS findings into clinical interventions and novel drug targets.

Purpose of the Study:

  • To review methods for addressing challenges in translating GWAS findings over the last decade.
  • To focus on integrating GWAS results with functional genomics datasets.
  • To highlight future research avenues for identifying drug targets for complex diseases.

Main Methods:

  • Investigating tissue and cell type identification using GWAS variant enrichment in genomic annotations.
  • Exploring gene regulation by GWAS loci through colocalization of GWAS signals with quantitative trait loci (QTLs).
  • Summarizing advancements in functional genomics data integration.

Main Results:

  • Methods integrating GWAS with functional genomics can identify relevant tissues, cell types, and regulated genes.
  • Functional genomics data aids in pinpointing the molecular mechanisms underlying GWAS associations.
  • These integrated approaches are vital for advancing drug discovery for complex diseases.

Conclusions:

  • Integrating GWAS with functional genomics, including single-cell sequencing and polygenic risk scores (PRS), is key to overcoming current challenges.
  • Identifying cell-type-specific gene regulation by non-coding GWAS loci is crucial.
  • These integrated strategies will accelerate the identification of novel drug targets for common complex diseases.