Mendelian randomization integrating GWAS and eQTL data reveals genetic determinants of complex and clinical traits
Genome-wide association studies (GWAS) have identified thousands of variants associated with complex traits, but their biological interpretation often remains unclear. Most of these variants overlap with expression QTLs, indicating their potential involvement in regulation of gene expression. Here, we propose a transcriptome-wide summary statistics-based Mendelian Randomization approach (TWMR) that uses multiple SNPs as instruments and multiple gene expression traits as exposures, simultaneously. Applied to 43 human phenotypes, it uncovers 3,913 putatively causal gene–trait associations, 36% o... Mehr ...
Verfasser: | |
---|---|
Dokumenttyp: | Artikel |
Erscheinungsdatum: | 2019 |
Reihe/Periodikum: | Porcu , E , Kutalik , Z , eQTLGen Consortium , BIOS Consortium , Boomsma , D I , Nivard , M G , Hottenga , J J , Pool , R & van Dongen , J 2019 , ' Mendelian randomization integrating GWAS and eQTL data reveals genetic determinants of complex and clinical traits ' , Nature Communications , vol. 10 , no. 1 , 3300 . https://doi.org/10.1038/s41467-019-10936-0 |
Schlagwörter: | /dk/atira/pure/keywords/cohort_studies/netherlands_twin_register_ntr_ / name=Netherlands Twin Register (NTR) |
Sprache: | Englisch |
Permalink: | https://search.fid-benelux.de/Record/base-26843183 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://research.vu.nl/en/publications/0ae2c2db-fbc5-4d76-b945-0b9d93d3702e |