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Tracking Drug-induced Changes in Receptor Post-internalization Trafficking by Colocalizational Analysis
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COLOCdb: a comprehensive resource for multi-model colocalization of complex traits
Siyu Pan1,2, Hongen Kang1,2, Xinxuan Liu1,3
1CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China.
Nucleic Acids Research
|November 9, 2023
Summary
COLOCdb integrates genome-wide association studies (GWAS) and molecular quantitative trait loci (xQTL) data to identify shared genetic variants. This comprehensive database aids in uncovering biological mechanisms underlying complex traits and diseases.
Area of Science:
- Genetics
- Genomics
- Bioinformatics
Background:
- Genome-wide association studies (GWAS) have identified numerous genetic variants associated with complex traits and diseases.
- Understanding the molecular mechanisms linking these genetic variants to phenotypic outcomes remains challenging.
Purpose of the Study:
- To develop COLOCdb, a comprehensive genetic colocalization database.
- To integrate a large number of GWAS summary statistics with various types of molecular quantitative trait loci (xQTL) data.
- To facilitate the discovery of shared genetic variants and underlying biological mechanisms.
Main Methods:
- Integrated over 3000 GWAS summary statistics and 13 types of xQTL data.
- Employed two colocalization analysis approaches: GWAS-xQTL, GWAS-GWAS, and xQTL-xQTL.
- Systematically deposited pair-wise colocalization results between GWAS loci and xQTLs, between GWAS loci, and between xQTLs.
Main Results:
- Generated a comprehensive resource of genetic colocalization analyses.
- Significantly expanded the catalog of shared variants exhibiting genetic pleiotropy.
- Provided insights into the fine-scale molecular mechanisms connecting genetic variants to phenotypes.
Conclusions:
- COLOCdb serves as a valuable resource for genetic research.
- The database supports the discovery of novel biological mechanisms.
- COLOCdb is expected to benefit future functional studies and precision medicine initiatives.
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