The single-cell eQTLGen consortium

Van Der Wijst MGP, De Vries DH, Groot HE, Trynka G, Hon CC, Bonder MJ, Stegle O, Nawijn MC, Idaghdour Y, Van Der Harst P, Ye CJ, Powell J, Theis FJ, Mahfouz A, Heing M, Franke L (2020)

Publication Type: Journal article

Publication year: 2020

Journal

eLife eLife Sciences Publications

Book Volume: 9

Article Number: e52155

DOI: 10.7554/eLife.52155

Abstract

In recent years, functional genomics approaches combining genetic information with bulk RNA-sequencing data have identified the downstream expression effects of disease-associated genetic risk factors through so-called expression quantitative trait locus (eQTL) analysis. Single-cell RNA-sequencing creates enormous opportunities for mapping eQTLs across different cell types and in dynamic processes, many of which are obscured when using bulk methods. Rapid increase in throughput and reduction in cost per cell now allow this technology to be applied to large-scale population genetics studies. To fully leverage these emerging data resources, we have founded the single-cell eQTLGen consortium (sc-eQTLGen), aimed at pinpointing the cellular contexts in which disease-causing genetic variants affect gene expression. Here, we outline the goals, approach and potential utility of the sc-eQTLGen consortium. We also provide a set of study design considerations for future single-cell eQTL studies.

Involved external institutions

University of Groningen / Rijksuniversiteit Groningen NL Netherlands (NL) Wellcome Trust Sanger Institute - Genome Research Limited GB United Kingdom (GB) Riken Institute of Physical and Chemical Research / 理研 JP Japan (JP) European Molecular Biology Laboratory (EMBL) DE Germany (DE) New York University Abu Dhabi (NYU Abu Dhabi) AE United Arab Emirates (AE) University of California San Francisco (UCSF) US United States (USA) (US) University of New South Wales (UNSW) AU Australia (AU) Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt (HMGU) / Helmholtz Munich DE Germany (DE) Leiden University NL Netherlands (NL)

How to cite

APA:

Van Der Wijst, M.G.P., De Vries, D.H., Groot, H.E., Trynka, G., Hon, C.C., Bonder, M.J.,... Franke, L. (2020). The single-cell eQTLGen consortium. eLife, 9. https://doi.org/10.7554/eLife.52155

MLA:

Van Der Wijst, M. G. P., et al. "The single-cell eQTLGen consortium." eLife 9 (2020).

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