Developing a synthetic psychosocial stress measure and harmonizing CVD-risk data: a way forward to GxE meta- and mega-analyses

Developing a synthetic psychosocial stress measure and harmonizing CVD-risk data: a way forward to GxE meta- and mega-analyses

Abstract Objectives Among many challenges in cardiovascular disease (CVD) risk prediction are interactions of genes with stress, race, and/or sex and developing robust estimates of these interactions. Improved power with larger sample size contributed by the accumulation of epidemiological data coul...

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Bibliographic Details
Main Authors: Abanish Singh, Michael A. Babyak, Beverly H. Brummett, William E. Kraus, Ilene C. Siegler, Elizabeth R. Hauser, Redford B. Williams
Format: Article
Language:English
Published: BMC 2018-07-01
Series:BMC Research Notes
Subjects:
Data harmonization
GxE interaction
CVD-risk
Mega-analysis
Synthetic psychosocial stress
Depressive symptoms
Online Access:http://link.springer.com/article/10.1186/s13104-018-3595-z

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http://link.springer.com/article/10.1186/s13104-018-3595-z

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