Large-scale cis- and trans-eQTL analyses identify thousands of genetic loci and polygenic scores that regulate blood gene expression

Urmo Võsa , Annique Claringbould , Harm-Jan Westra , Urmo Võsa , Annique Claringbould , Harm-Jan Westra , Marc Jan Bonder , Patrick Deelen , Biao Zeng , Holger Kirsten , Ashis Saha , Roman Kreuzhuber , Seyhan Yazar , Harm Brugge , Roy Oelen , Dylan H. de Vries , Monique G.P. van der Wijst , Silva Kasela , Natalia Pervjakova , Isabel Alves , Marie-Julie Favé , Mawussé Agbessi , Mark Christiansen , Rick Jansen , Ilkka Seppälä , Tong Lin , Alexander Teumer , Katharina Schramm , Gibran Hemani , Joost Verlouw , Hanieh Yaghootkar , Reyhan Sönmez Flitman , Andrew Brown , Viktorija Kukushkina , Anette Kalnapenkis , Sina Rüeger , Eleonora Porcu , Jaanika Kronberg , Johannes Kettunen , Bernett Lee , Futao Zhang , Ting Qi , José Alquicira-Hernández , Wibowo Arindrarto , Frank Beutner , Peter A.C. ’t Hoen , Joyce B. J. van Meurs , Jenny van Dongen , Maarten van Iterson , Morris A. Swertz , Marc Jan Bonder , Julia Dmitrieva , Mahmoud Elansary , Benjamin P. Fairfax , Michel Georges , Bastiaan T. Heijmans , Alex W. Hewitt , Mika Kähönen , Yungil Kim , Julian C. Knight , Péter Kovács , Knut Krohn , Shuang� Li , Markus Loeffler , Urko M. Marigorta , Hailang Mei , Yukihide Momozawa , Martina Müller‐Nurasyid , Matthias Nauck , Michel G. Nivard , Brenda W.J.H. Penninx , Jonathan K. Pritchard , Olli T. Raitakari , Olaf Rötzschke , P. Eline Slagboom , Coen D.A. Stehouwer , Michael Stümvoll , Patrick Sullivan , Peter A.C. ’t Hoen , Joachim Thiery , Anke Tönjes , Jenny van Dongen , Maarten van Iterson , Jan H. Veldink , Uwe Völker , Robert Warmerdam , Cisca Wijmenga , Morris A. Swertz , Anand Kumar Andiappan , Grant W. Montgomery , Samuli Ripatti , Markus Perola , Zoltán Kutalik , Emmanouil T. Dermitzakis , Sven Bergmann , Timothy M. Frayling , Joyce B. J. van Meurs , Holger Prokisch , Habibul Ahsan , Brandon L. Pierce , Terho Lehtimäki , Dorret I. Boomsma , Bruce M. Psaty
2021 Nature Genetics 1,817 citations

Abstract

Trait-associated genetic variants affect complex phenotypes primarily via regulatory mechanisms on the transcriptome. To investigate the genetics of gene expression, we performed cis- and trans-expression quantitative trait locus (eQTL) analyses using blood-derived expression from 31,684 individuals through the eQTLGen Consortium. We detected cis-eQTL for 88% of genes, and these were replicable in numerous tissues. Distal trans-eQTL (detected for 37% of 10,317 trait-associated variants tested) showed lower replication rates, partially due to low replication power and confounding by cell type composition. However, replication analyses in single-cell RNA-seq data prioritized intracellular trans-eQTL. Trans-eQTL exerted their effects via several mechanisms, primarily through regulation by transcription factors. Expression of 13% of the genes correlated with polygenic scores for 1,263 phenotypes, pinpointing potential drivers for those traits. In summary, this work represents a large eQTL resource, and its results serve as a starting point for in-depth interpretation of complex phenotypes. Analyses of expression profiles from whole blood of 31,684 individuals identify cis-expression quantitative trait loci (eQTL) effects for 88% of genes and trans-eQTL effects for 37% of trait-associated variants.

Keywords

Expression quantitative trait lociBiologyQuantitative trait locusGeneticsGenePhenotypeTranscriptomeGene expressionRegulation of gene expressionLocus (genetics)Computational biologySingle-nucleotide polymorphismGenotype

MeSH Terms

Blood ProteinsGene Expression RegulationGenome-Wide Association StudyHumansMultifactorial InheritancePolymorphismSingle NucleotideQuantitative Trait LociTranscriptome

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Publication Info

Year
2021
Type
article
Volume
53
Issue
9
Pages
1300-1310
Citations
1817
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Closed

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Urmo Võsa, Annique Claringbould, Harm-Jan Westra et al. (2021). Large-scale cis- and trans-eQTL analyses identify thousands of genetic loci and polygenic scores that regulate blood gene expression. Nature Genetics , 53 (9) , 1300-1310. https://doi.org/10.1038/s41588-021-00913-z

Identifiers

DOI
10.1038/s41588-021-00913-z
PMID
34475573
PMCID
PMC8432599

Data Quality

Data completeness: 86%