Federated single-cell QTL meta-analysis reveals novel disease mechanisms

Genetic effects on gene expression are often cell type-specific and obscured in bulk analyses. To resolve this context-dependent regulation, we performed a federated <i>cis</i>-eQTL meta-analysis across 12 PBMC datasets (2,032 individuals, 2.5 million cells). Across six immune cell types, we identified <i>cis</i>-eQTLs for 6,592 genes and fine-mapped 14,985 independent loci. Notably, the 42% of eQTLs that were undetected in a bulk eQTL study on 43,301 whole blood samples also showed stronger enrichment for disease GWAS loci. We further identified three genome-wide significant and 65 suggestive loci affecting the abundance of (rare) immune cell types and validated these using previously reported hematological GWAS and bulk-derived <i>trans</i>-eQTLs. Integrating single-cell <i>cis</i>-eQTLs with bulk <i>trans</i>-eQTLs enabled us to anchor 6,382 <i>trans</i>-eGenes (37.2% novel) to upstream regulators and reconstruct directed gene regulatory relationships. For example, a hemorrhoidal disease-associated variant showed a CD4+ T cell-specific <i>cis</i>-eQTL on <i>BACH1</i> that colocalized with 45 immune and metabolic <i>trans</i>-eGenes. These results demonstrate the power of single-cell QTL meta-analysis in interpreting complex trait genetics.

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bioRxiv (Cold Spring Harbor Laboratory)
Published
2026-01-23
DOI
https://doi.org/10.64898/2026.01.20.700519
Primary Topic
Single-cell and spatial transcriptomics
Type
article
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article

Federated single-cell QTL meta-analysis reveals novel disease mechanisms

Lieke Michielsen, Matthias Heinig, Wenchao Li, Chung-Chau Hon et al.
bioRxiv (Cold Spring Harbor Laboratory)
Single-cell and spatial transcriptomics
article

Federated single-cell QTL meta-analysis reveals novel disease mechanisms

Lieke Michielsen, Matthias Heinig, Wenchao Li, Chung-Chau Hon, Corinna Losert, Daniel Considine, Jonathan Moody, Zhenhua Zhang, Martijn Vochteloo, Issiaka Soulama, Irene V. van Blokland, Tala Shahin, Jeff R. Powell, M Nawijn, Jimmy Tsz Hang Lee, Mame Massar Dieng, Deepa Rajagopalan, Pooja Kathail, Younes Mokrab, Jelmer Niewold, A. Mahfouz, J Ye, Y. Okada, Oliver Stegle, Gosia Trynka, Urmo Võsa, Yang Li, Roy Oelen, Niek de Klein, Marta Melé, Vinu Manikanda, Daniel Kaptijn, Yakov A Tsepilov, Haroon Naeem, Marc Jan Bonder, Hilde E. Groot, Woong-Yang Park, Maryna Korshevniuk, M. Grace Gordon, Stephen Sawcer, Joseph E. Alquicira-Hernandez, Seyhan Yazar, Harm-Jan Westra, Lude Franke, Monique G.P. van der Wijst, Mihai Netea, Odmaa Bayaraa, Marijn Berg, Aida Ripoll-Cladellas, Martin Hemberg, Robert Warmerdam, Pim van der Harst, Maria Ban
article en

Abstract

Genetic effects on gene expression are often cell type-specific and obscured in bulk analyses. To resolve this context-dependent regulation, we performed a federated <i>cis</i>-eQTL meta-analysis across 12 PBMC datasets (2,032 individuals, 2.5 million cells). Across six immune cell types, we identified <i>cis</i>-eQTLs for 6,592 genes and fine-mapped 14,985 independent loci. Notably, the 42% of eQTLs that were undetected in a bulk eQTL study on 43,301 whole blood samples also showed stronger enrichment for disease GWAS loci. We further identified three genome-wide significant and 65 suggestive loci affecting the abundance of (rare) immune cell types and validated these using previously reported hematological GWAS and bulk-derived <i>trans</i>-eQTLs. Integrating single-cell <i>cis</i>-eQTLs with bulk <i>trans</i>-eQTLs enabled us to anchor 6,382 <i>trans</i>-eGenes (37.2% novel) to upstream regulators and reconstruct directed gene regulatory relationships. For example, a hemorrhoidal disease-associated variant showed a CD4+ T cell-specific <i>cis</i>-eQTL on <i>BACH1</i> that colocalized with 45 immune and metabolic <i>trans</i>-eGenes. These results demonstrate the power of single-cell QTL meta-analysis in interpreting complex trait genetics.

bioRxiv (Cold Spring Harbor Laboratory)
Agency for Science, Technology and Research (SG), New York University Abu Dhabi (AE), Brigham and Women's Hospital (US), University Medical Center Groningen (NL), Garvan Institute of Medical Research (AU), Radboud University Nijmegen (NL), The University of Queensland (AU), University of Groningen (NL), German Cancer Research Center (DE), University of California, San Francisco (US), Heidelberg University (DE), University of Cambridge (GB), Barcelona Supercomputing Center (ES), Leiden University Medical Center (NL), Samsung Medical Center (KR), Wellcome Sanger Institute (GB), Helmholtz Zentrum München (DE), UNSW Sydney (AU), Medizinische Hochschule Hannover (DE), Open Targets (GB), Parker Institute for Cancer Immunotherapy (US), Oncode Institute (NL), Helmholtz Centre for Infection Research (DE), European Molecular Biology Laboratory (DE), Centre for Individualised Infection Medicine (DE), RIKEN Center for Integrative Medical Sciences (JP), Center for Experimental and Clinical Infection Research (DE), Weill Cornell Medical College in Qatar (QA), Institut de Recherche en Sciences de la Santé (BF), University of Tartu (EE), Qatar University (QA), Genome Institute of Singapore (SG), Universitat de Barcelona (ES), The University of Tokyo (JP), University of California, Berkeley (US), Universitat Politècnica de Catalunya (ES), The University of Osaka (JP), Delft University of Technology (NL)
National Science Foundation, U.S. Department of Health and Human Services, Wellcome Trust, New York University Abu Dhabi, Scottish Government, Sidra Medicine, National Institute for Health and Care Research, British Heart Foundation, Department of Health and Social Care, Multiple Sclerosis Society, European Commission, Public Health Agency, Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, Koninklijke Nederlandse Akademie van Wetenschappen, ZonMw, Fonds National de la Recherche Luxembourg, Eesti Teadusagentuur, Nederlandse Organisatie voor Wetenschappelijk Onderzoek, Servier, Tamkeen, Oncode Institute, National Institutes of Health, Qatar National Research Fund, Chief Scientist Office, Scottish Government Health and Social Care Directorate, HORIZON EUROPE Framework Programme, Medical Research Council, Engineering and Physical Sciences Research Council, Economic and Social Research Council, European Regional Development Fund, Health and Social Care Research and Development Division, NIHR Cambridge Biomedical Research Centre
Openalex Percentile: Top 81%
Single-cell and spatial transcriptomics
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