Identification of genetic variants that impact gene co-expression relationships using large-scale single-cell data

Identification of genetic variants that impact gene co-expression relationships using large-scale single-cell data

Abstract Background Expression quantitative trait loci (eQTL) studies show how genetic variants affect downstream gene expression. Single-cell data allows reconstruction of personalized co-expression networks and therefore the identification of SNPs altering co-expression patterns (co-expression QTL...

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Bibliographic Details
Main Authors: Shuang Li, Katharina T. Schmid, Dylan H. de Vries, Maryna Korshevniuk, Corinna Losert, Roy Oelen, Irene V. van Blokland, BIOS Consortium, sc-eQTLgen Consortium, Hilde E. Groot, Morris A. Swertz, Pim van der Harst, Harm-Jan Westra, Monique G.P. van der Wijst, Matthias Heinig, Lude Franke
Format: Article
Language:English
Published: BMC 2023-04-01
Series:Genome Biology
Subjects:
Co-expression QTLs
scRNA-seq
eQTL
Online Access:https://doi.org/10.1186/s13059-023-02897-x

Internet

https://doi.org/10.1186/s13059-023-02897-x

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