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

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 QTLs, co-eQ...

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Detalles Bibliográficos
Autores principales: Li, Shuang, Schmid, Katharina T., de Vries, Dylan H., Korshevniuk, Maryna, Losert, Corinna, Oelen, Roy, van Blokland, Irene V., Groot, Hilde E., Swertz, Morris A., van der Harst, Pim, Westra, Harm-Jan, van der Wijst, Monique G.P., Heinig, Matthias, Franke, Lude
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10111756/
https://www.ncbi.nlm.nih.gov/pubmed/37072791
http://dx.doi.org/10.1186/s13059-023-02897-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10111756/
https://www.ncbi.nlm.nih.gov/pubmed/37072791
http://dx.doi.org/10.1186/s13059-023-02897-x

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