Full title: A large‐scale transcriptome‐wide association study (TWAS) of 10 blood cell phenotypes reveals complexities of TWAS fine‐mapping

Hematological measures are important intermediate clinical phenotypes for many acute and chronic diseases and are highly heritable. Although genome‐wide association studies (GWAS) have identified thousands of loci containing trait‐associated variants, the causal genes underlying these associations a...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Genetic epidemiology 2022-02, Vol.46 (1), p.3-16
Hauptverfasser: Tapia, Amanda L., Rowland, Bryce T., Rosen, Jonathan D., Preuss, Michael, Young, Kris, Graff, Misa, Choquet, Hélène, Couper, David J., Buyske, Steve, Bien, Stephanie A., Jorgenson, Eric, Kooperberg, Charles, Loos, Ruth J. F., Morrison, Alanna C., North, Kari E., Yu, Bing, Reiner, Alexander P., Li, Yun, Raffield, Laura M.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Hematological measures are important intermediate clinical phenotypes for many acute and chronic diseases and are highly heritable. Although genome‐wide association studies (GWAS) have identified thousands of loci containing trait‐associated variants, the causal genes underlying these associations are often uncertain. To better understand the underlying genetic regulatory mechanisms, we performed a transcriptome‐wide association study (TWAS) to systematically investigate the association between genetically predicted gene expression and hematological measures in 54,542 Europeans from the Genetic Epidemiology Research on Aging cohort. We found 239 significant gene‐trait associations with hematological measures; we replicated 71 associations at p 
ISSN:0741-0395
1098-2272
DOI:10.1002/gepi.22436