A Table of all published EWAS with deep molecular phenotypes (omics)

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The number of genome-wide association studies (GWAS) with deep molecular phenotypes, especially metabolomics and proteomics, is rapidly increasing. On other places of this blog I maintain tables of published GWAS with metabolomics (mQTLs), proteomics (pQTLs), and DNA methylation (meQTLs).

Here I extend this collection by a table of all published epigenome-wide association studies (EWAS) with metabolomics, proteomics, and any other (still to be published) deep molecular phenotyps.

Should you know of any study missing here, please let me know.

ReferenceStudy Population#Samples#CpGsOmics phenotype
Petersen et al. (Hum. Mol. Genet. 2014)German (KORA) population study181420 (excluding CpGs with genetic confounders)649 blood metabolic and lipid traits (Metabolon, Biocrates, and Numares/Lipofit platforms)
Sayols-Baixeras (Hum. Molec. Genet., 2016)REGICOR study and Framingham Offspring Study (replication)645+2542 (replication)14 (9 genes + 2 intergenic loci)Lipid traits (total, low-density and high-density lipoprotein cholesterol, and triglycerides)
Braun et al. (Clin. Epigenet., 2017)Rotterdam Study725+760 (replication)5blood levels of triglycerides, high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), and total cholesterol
Nano et al. (Gastroenterology, 2017)Rotterdam Study731+719 (replication)8 (4 replicated)blood for liver enzyme levels, including gamma-glutamyl transferase (GGT), alanine aminotransferase (ALT), and aspartate aminotransferase (AST)
Ahsan et al. (PLoS Genet., 2017)Northern Sweden Population Health Study (NSPHS)between 698 and 1033124121 protein biomarkers (Proseek immuno-assay technology)
Wahl et al. (BBA, 2018)4 cohorts3000+7 (5 sites)IgG glycosylation (24 glycans measured by UPLC, 50 by LC/MS)

(updated February 24, 2018)