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Article

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

BMC research notes - 24 Jul 2018

Singh Abanish, Babyak Michael A, Brummett Beverly H, Kraus William E, Siegler Ilene C, Hauser Elizabeth R, Williams Redford B

Abstract excerpt

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 could be helpful, but integration of these datasets is difficult due the absence of standardized phenotypic measures. In this...

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Identifiers

PMID: 30041705
DOI: 10.1186/s13104-018-3595-z
PMCID: PMC6057001

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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