e-ISSN: Pending
Negative / Null Result ReportOpen accessBiochemistry, Genetics and Molecular Biology· cited by 77

DNA methylation modules associate with incident cardiovascular disease and cumulative risk factor exposure

Kenneth E. Westerman; Paola Sebastiani; Paul F. Jacques; Simin Liu; Dawn L. DeMeo; José M. Ordovás · 2019 · Clinical Epigenetics

WASTE classifies this as Negative / Null Result Report · AI classification, approximate

The study found no significant effect — useful as a negative control or null benchmark for your own design.

The finding, in one line

However, the direction of causation for these associations is not always clear, and investigations to-date have often failed to replicate at the level of individual loci.

Abstract

BACKGROUND: Epigenome-wide association studies using DNA methylation have the potential to uncover novel biomarkers and mechanisms of cardiovascular disease (CVD) risk. However, the direction of causation for these associations is not always clear, and investigations to-date have often failed to replicate at the level of individual loci. METHODS: Here, we undertook module- and region-based DNA methylation analyses of incident CVD in the Women's Health Initiative (WHI) and Framingham Heart Study Offspring Cohort (FHS) in order to find more robust epigenetic biomarkers for cardiovascular risk. W

Abstract by Kenneth E. Westerman; Paola Sebastiani; Paul F. Jacques; Simin Liu; Dawn L. DeMeo; José M. Ordovás, Clinical Epigenetics (2019) — licensed CC BY 4.0.

About to run something similar?

Run an AI Precheck on your own design to catch failure modes like this one before you spend the time. Your first desk check is free.

WASTE indexes this work — it does not host or republish it. Failure-type classification is automated and approximate.

Metadata source: OpenAlex · DOI 10.1186/s13148-019-0705-2