ArticleCell genomics2023
Joint analysis of GWAS and multi-omics QTL summary statistics reveals a large fraction of GWAS signals shared with molecular phenotypes.
Article in Cell genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.
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Who cites it
35 citing papers in PubMed, 52 citations in OpenAlex.
- Machine learning and statistical methods for molecular quantitative trait loci.Nature reviews. Genetics · 2026Review
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- Integrating Multi-Omics Summary Data Identifies Candidate Molecular Mechanisms for Major Depression.Biological psychiatry · 2026Article
- Multi-omics pleiotropic association analyses reveal functionally relevant genes and druggable pathways for ovarian aging.Genome biology · 2026Article
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- Mixed-model and transcriptome-wide association analyses identify transcription factors and genes associated with colorectal cancer susceptibility.Nature communications · 2026Article
- Genetic control of non-coding RNAs in the human brain and their implications for complex traits.American journal of human genetics · 2026Article
- The China Brain Multi-omics Atlas Project (CBMAP).Molecular psychiatry · 2026Review
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- Identification of Mitochondria-Related Genes Associated with Stroke Risk Through Multi-omics Summary Data-Based MR Analysis.Molecular neurobiology · 2025Article
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- GWAS and multi-omics integrative analysis reveal novel loci and their molecular mechanisms for circulating fatty acids.HGG advances · 2025Article
- Integrative multi-omics QTL colocalization maps regulatory architecture in aging human brain.medRxiv : the preprint server for health sciences · 2025Article
- Exploring the molecular basis of the genetic correlation between body mass index and brain morphological traits.PLoS genetics · 2025Article
- Integrative genomics sheds light on the immunogenetics of tuberculosis in cattle.Communications biology · 2025Article
- Using genome-wide associations and host-by-pathogen predictions to identify allelic interactions that control disease resistance.The plant genome · 2025Article
- Leveraging pleiotropy for the improved treatment of psychiatric disorders.Molecular psychiatry · 2025Review
- Perspective on recent developments and challenges in regulatory and systems genomics.Bioinformatics advances · 2025Review
- Scrutinizing neurodegenerative diseases: decoding the complex genetic architectures through a multi-omics lens.Human genomics · 2024Review
- Identification of shared genetic etiology of cardiovascular and cerebrovascular diseases through common cardiometabolic risk factors.Communications biology · 2024Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Molecular quantitative trait loci (xQTLs) are often harnessed to prioritize genes or functional elements underpinning variant-trait associations identified from genome-wide association studies (GWASs). Here, we introduce OPERA, a method that jointly analyzes GWAS and multi-omics xQTL summary statistics to enhance the identification of molecular phenotypes associated with complex traits through shared causal variants. Applying OPERA to summary-level GWAS data for 50 complex traits (n = 20,833-766,345) and xQTL data from seven omics layers (n = 100-31,684) reveals that 50% of the GWAS signals are shared with at least one molecular phenotype. GWAS signals shared with multiple molecular phenotypes, such as those at the
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.