ArticlePLoS genetics2019
Integrating predicted transcriptome from multiple tissues improves association detection.
Article in PLoS genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 252 papers, 27 of them syntheses that pooled it.
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Who cites it
252 citing papers in PubMed, 27 syntheses or guidelines pooled it.
- A Genome-Wide Meta-Analysis of Functional Dyspepsia in 1,168,899 Individuals Implicates Immune Pathways in Disease Susceptibility.Neurogastroenterology and motility · 2026Pooled it
- Genome-wide meta-analyses of non-response to antidepressants provide insights into underlying molecular genetics and suggest potential pharmacotherapies.Molecular psychiatry · 2026Pooled it
- From risk to chronicity: genetic and neuroimaging insights into the evolving patterns of spontaneous brain activity in schizophrenia.Psychological medicine · 2025Pooled it
- Shared neuroimaging and molecular profiles in type 2 diabetes mellitus and major depressive disorder: an integrative analysis of genetic, transcriptomic, and neuroimaging data.Translational psychiatry · 2025Pooled it
- Variants in CALD1, ESRP1, and RBFOX1 are associated with orofacial cleft risk.PLoS genetics · 2025Pooled it
- Genome-wide association meta-analyses of drug-resistant epilepsy.EBioMedicine · 2025Pooled it
- Genome-wide association study meta-analysis provides insights into the etiology of heart failure and its subtypes.Nature genetics · 2025Pooled it
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- The genetic architecture of age at menarche and its causal effects on other traits.Journal of human genetics · 2024Pooled it
- Multiomic integration analysis identifies atherogenic metabolites mediating between novel immune genes and cardiovascular risk.Genome medicine · 2024Pooled it
- Genome-wide meta-analyses of restless legs syndrome yield insights into genetic architecture, disease biology and risk prediction.Nature genetics · 2024Pooled it
- Subset-based method for cross-tissue transcriptome-wide association studies improves power and interpretability.HGG advances · 2024Pooled it
- Multi-ancestry study of the genetics of problematic alcohol use in over 1 million individuals.Nature medicine · 2023Pooled it
- European and multi-ancestry genome-wide association meta-analysis of atopic dermatitis highlights importance of systemic immune regulation.Nature communications · 2023Pooled it
- A joint transcriptome-wide association study across multiple tissues identifies candidate breast cancer susceptibility genes.American journal of human genetics · 2023Pooled it
- Pooled it
- Discovery of genomic loci associated with sleep apnea risk through multi-trait GWAS analysis with snoring.Sleep · 2023Pooled it
- Analysis of genetically determined gene expression suggests role of inflammatory processes in exfoliation syndrome.BMC genomics · 2023Pooled it
- Deciphering colorectal cancer genetics through multi-omic analysis of 100,204 cases and 154,587 controls of European and east Asian ancestries.Nature genetics · 2023Pooled it
- Pooled it
192 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Integration of genome-wide association studies (GWAS) and expression quantitative trait loci (eQTL) studies is needed to improve our understanding of the biological mechanisms underlying GWAS hits, and our ability to identify therapeutic targets. Gene-level association methods such as PrediXcan can prioritize candidate targets. However, limited eQTL sample sizes and absence of relevant developmental and disease context restrict our ability to detect associations. Here we propose an efficient statistical method (MultiXcan) that leverages the substantial sharing of eQTLs across tissues and contexts to improve our ability to identify potential target genes. MultiXcan integrates evidence across multiple panels using multivariate regression, which naturally takes into account the correlation structure. We apply our method to simulated and real traits from the UK Biobank and show that, in realistic settings, we can detect a larger set of significantly associated genes than using each panel separately. To improve applicability, we developed a summary result-based extension called S-MultiXcan, which we show yields highly concordant results with the individual level version when LD is well matched. Our multivariate model-based approach allowed us to use the individual level results as a gold standard to calibrate and develop a robust implementation of the summary-based extension. Results from our analysis as well as software and necessary resources to apply our method are publicly available.
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Registered trials
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 OpenQuestion graph.