ArticleNucleic acids research2023
Brain Catalog: a comprehensive resource for the genetic landscape of brain-related traits.
Article in Nucleic acids research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- GENEasso: a curated resource of credible disease-gene associations across complex diseases from GWAS summary statistics.Nucleic acids research · 2026Article
- Spatial GWAS Atlas: a knowledgebase for decoding the genetic architecture of complex traits in spatial resolution.Nucleic acids research · 2026Article
- Multi-omics analysis for identifying cell-type-specific and bulk-level druggable targets in Alzheimer's disease.Journal of translational medicine · 2025Article
- GWAShug: a comprehensive platform for decoding the shared genetic basis between complex traits based on summary statistics.Nucleic acids research · 2025Article
- Article
- COLOCdb: a comprehensive resource for multi-model colocalization of complex traits.Nucleic acids research · 2024Article
- RAVAR: a curated repository for rare variant-trait associations.Nucleic acids research · 2024Article
- PigBiobank: a valuable resource for understanding genetic and biological mechanisms of diverse complex traits in pigs.Nucleic acids research · 2024Article
- Computational screening of damaging nsSNPs in human SOD1 genes associated with amyotrophic lateral sclerosis identifies destabilising effects of G38R and G42D mutations through in silico evaluation.In silico pharmacology · 2024Article
- Database Resources of the National Genomics Data Center, China National Center for Bioinformation in 2023.Nucleic acids research · 2023Article
Corrections and comments
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Authors and funding
8 authors.
Funding
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Abstract
A broad range of complex phenotypes are related to dysfunctions in brain (hereafter referred to as brain-related traits), including various mental and behavioral disorders and diseases of the nervous system. These traits in general share overlapping symptoms, pathogenesis, and genetic components. Here, we present Brain Catalog (https://ngdc.cncb.ac.cn/braincatalog), a comprehensive database aiming to delineate the genetic components of more than 500 GWAS summary statistics datasets for brain-related traits from multiple aspects. First, Brain Catalog provides results of candidate causal variants, causal genes, and functional tissues and cell types for each trait identified by multiple methods using comprehensive annotation datasets (58 QTL datasets spanning 6 types of QTLs). Second, Brain Catalog estimates the SNP-based heritability, the partitioning heritability based on functional annotations, and genetic correlations among traits. Finally, through bidirectional Mendelian randomization analyses, Brain Catalog presents inference of risk factors that are likely causal to each trait. In conclusion, Brain Catalog presents a one-stop shop for the genetic components of brain-related traits, potentially serving as a valuable resource for worldwide researchers to advance the understanding of how GWAS signals may contribute to the biological etiology of brain-related traits.
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