Exome localization of complex disease association signals

Area of Science:

• Genetics
• Genomic Medicine
• Bioinformatics

Background:

• Genome-wide association studies (GWAS) are crucial for understanding common diseases.
• The field is transitioning from microarrays to next-generation sequencing technologies.
• Exome sequencing offers a potential avenue for association studies in complex diseases.

Purpose of the Study:

• To evaluate the utility of exome sequencing for complex disease association studies.
• To analyze the distribution of association signals relative to protein-coding genes using existing GWAS data.
• To assess the feasibility of exome sequencing for identifying disease-associated genetic variations.

Main Methods:

• Analysis of Genome-wide association study (GWAS) data from the Wellcome Trust Case Control Consortium.
• Examination of seven common diseases.
• Assessment of association signal distribution concerning protein-coding genes and their flanking regions.

Main Results:

• Significant concentration of association signals within exons and genes for Crohn's Disease, Type 1 Diabetes, and Bipolar Disorder.
• Enrichment of association signals extending up to 40 kilobases upstream and downstream of protein-coding genes for Crohn's Disease and Type 1 Diabetes.
• Disease-specific variations in the extent of association signal distribution.

Conclusions:

• Exome sequencing is a viable approach for discovering genetic variations linked to complex diseases.
• Expanding exome sequencing to include flanking genomic regions can enhance the identification of disease-relevant variants.
• Further research into exome sequencing holds promise for advancing genetic insights into common diseases.