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Database Commons

a catalog of worldwide biological databases

Database Profile

COLOCdb

General information

URL: https://ngdc.cncb.ac.cn/colocdb
Full name: multi-model colocalization of complex traits
Description: A comprehensive genetic colocalization database by integrating more than 3000 GWAS summary statistics and 13 types of xQTL to date.
Year founded: 2023
Last update: 2023-11-06
Version: v1.0
Accessibility:
Accessible
Country/Region: China

Funding support

  • XDB38010400

Classification & Tag

Data type:
DNA
Data object:
Database category:
Major species:
Keywords:

Contact information

University/Institution: Beijing Institute of Genomics, Chinese Academy of Sciences
Address: National Genomics Data Center Beijing Institute of Genomics Chinese Academy of Sciences 1 Beichen West Road, Chaoyang District Beijing 100101, China
City:
Province/State:
Country/Region: China
Contact name (PI/Team): Peilin Jia
Contact email (PI/Helpdesk): pjia@big.ac.cn

Publications

37941154
COLOCdb: a comprehensive resource for multi-model colocalization of complex traits. [PMID: 37941154]
Siyu Pan, Hongen Kang, Xinxuan Liu, Shuhua Li, Peng Yang, Mingqiu Wu, Na Yuan, Shiqi Lin, Qiwen Zheng, Peilin Jia

Large-scale genome-wide association studies (GWAS) have provided profound insights into complex traits and diseases. Yet, deciphering the fine-scale molecular mechanisms of how genetic variants manifest to cause the phenotypes remains a daunting task. Here, we present COLOCdb (https://ngdc.cncb.ac.cn/colocdb), a comprehensive genetic colocalization database by integrating more than 3000 GWAS summary statistics and 13 types of xQTL to date. By employing two representative approaches for the colocalization analysis, COLOCdb deposits results from three key components: (i) GWAS-xQTL, pair-wise colocalization between GWAS loci and different types of xQTL, (ii) GWAS-GWAS, pair-wise colocalization between the trait-associated genetic loci from GWASs and (iii) xQTL-xQTL, pair-wise colocalization between the genetic loci associated with molecular phenotypes in xQTLs. These results together represent the most comprehensive colocalization analysis, which also greatly expands the list of shared variants with genetic pleiotropy. We expect that COLOCdb can serve as a unique and useful resource in advancing the discovery of new biological mechanisms and benefit future functional studies.

Nucleic Acids Res. 2024:52(D1) | 14 Citations (from Europe PMC, 2025-12-13)

Ranking

All databases:
1284/6895 (81.392%)
Genotype phenotype and variation:
177/1005 (82.488%)
Health and medicine:
307/1738 (82.394%)
Gene genome and annotation:
416/2021 (79.466%)
1284
Total Rank
11
Citations
11
z-index

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Record metadata

Created on: 2024-07-16
Curated by:
Lina Ma [2024-12-19]
Wenzhuo Cheng [2024-08-27]
Wenzhuo Cheng [2024-07-23]
zheng luo [2024-07-16]