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

Date Available

2020-07-16

Type

dataset

Data Creator

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

Publisher

University of Edinburgh. Centre for Cognitive Ageing and Cognitive Epidemiology

Relation (Is Referenced By)

https://doi.org/10.1186/s13073-020-00754-1

Metadata

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Citation

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 - OSCA EWAS Proteins, [dataset]. University of Edinburgh. Centre for Cognitive Ageing and Cognitive Epidemiology. https://doi.org/10.7488/ds/2817.

Description

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 EWAS of 70 Olink inflammation proteins - performed by OSCA EWAS.