Multi-method genome and epigenome wide studies of inflammatory protein levels in healthy older adults - BayesR+ GWAS Proteins

This dataset represents one of five datasets which correspond to the study: "Multi-method genome and epigenome wide studies of inflammatory protein levels in healthy older adults". These datasets represent association studies on the levels of the same set of 70 inflammatory proteins. Each dataset represents one of five distinct methods used to perform genome-wide and epigenome-wide association studies on these protein levels. These methods are: Linear Regression GWAS, Linear Regression EWAS, OSCA EWAS, BayesR+ GWAS and BayesR+ EWAS. These analyses were performed as part of the Lothian Birth Cohort 1936 Study. This data relates to summary statistics for GWAS of 70 Olink inflammation proteins - performed by BayesR+.

Hillary, Robert; Trejo Banos, Daniel; Kousathanas, Athanasios; McCartney, Daniel; Harris, Sarah; Stevenson, Anna; Patxot, Marion; Ojavee, Sven Erik; Zhang, Qian; Liewald, David; Ritchie, Craig; Evans, Kathryn; Tucker-Drob, Elliot; Wray, Naomi; McRae, Allan; Visscher, Peter; Deary, Ian; Robinson, Matthew; Marioni, Riccardo. (2020). Multi-method genome and epigenome wide studies of inflammatory protein levels in healthy older adults - BayesR+ GWAS Proteins, [dataset]. University of Edinburgh. Centre for Cognitive Ageing and Cognitive Epidemiology. https://doi.org/10.7488/ds/2854