Epigenomic Assessment of Cardiovascular Disease Risk and Interactions With Traditional Risk Metrics

DNA methylation GrimAge strongly predicts lifespan and healthspan

(2019) Ake T. Lu et al.   Aging-US

DNA methylome profiling of all-cause mortality in comparison with age-associated methylation patterns

(2019) Jesper Beltoft Lund et al.   Clinical Epigenetics

High-Sensitivity Troponin I and Incident Coronary Events, Stroke, Heart Failure Hospitalization, and Mortality in the ARIC Study

(2019) Xiaoming Jia et al.   CIRCULATION

Blood Leukocyte DNA Methylation Predicts Risk of Future Myocardial Infarction and Coronary Heart Disease

(2019) Golareh Agha et al.   CIRCULATION

Genetic predisposition, modifiable-risk-factor profile and long-term dementia risk in the general population

(2019) Silvan Licher et al.   NATURE MEDICINE

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

(2019) Kenneth Westerman et al.   Clinical Epigenetics

An epigenetic biomarker of aging for lifespan and healthspan

(2018) Morgan E. Levine et al.   Aging-US

Cohort Profile Update: The Lothian Birth Cohorts of 1921 and 1936

(2018) Adele M Taylor et al.   INTERNATIONAL JOURNAL OF EPIDEMIOLOGY

Training replicable predictors in multiple studies

(2018) Prasad Patil et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

DNA methylation as a mediator of the association between prenatal adversity and risk factors for metabolic disease in adulthood

(2018) Elmar W. Tobi et al.   Science Advances

Association of Methylation Signals With Incident Coronary Heart Disease in an Epigenome-Wide Assessment of Circulating Tumor Necrosis Factor α

(2018) Stella Aslibekyan et al.   JAMA Cardiology

Genome-wide polygenic scores for common diseases identify individuals with risk equivalent to monogenic mutations

(2018) Amit V. Khera et al.   NATURE GENETICS

DNA methylation markers for diagnosis and prognosis of common cancers

(2017) Xiaoke Hao et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Why Batch Effects Matter in Omics Data, and How to Avoid Them

(2017) Wilson Wen Bin Goh et al.   TRENDS IN BIOTECHNOLOGY

Epigenetic Patterns in Blood Associated With Lipid Traits Predict Incident Coronary Heart Disease Events and Are Enriched for Results From Genome-Wide Association StudiesCLINICAL PERSPECTIVE

(2017) Åsa K. Hedman et al.   Circulation-Cardiovascular Genetics

Dyslipidemic Diet-Induced Monocyte “Priming” and Dysfunction in Non-Human Primates Is Triggered by Elevated Plasma Cholesterol and Accompanied by Altered Histone Acetylation

(2017) John D. Short et al.   Frontiers in Immunology

Preprocessing, normalization and integration of the Illumina HumanMethylationEPIC array with minfi

(2016) Jean-Philippe Fortin et al.   BIOINFORMATICS

Epigenome-wide association study of body mass index and the adverse outcomes of adiposity

(2016) Simone Wahl et al.   NATURE

Disease variants alter transcription factor levels and methylation of their binding sites

(2016) Marc Jan Bonder et al.   NATURE GENETICS

Blood-based biomarkers of age-associated epigenetic changes in human islets associate with insulin secretion and diabetes

(2016) Karl Bacos et al.   Nature Communications

Gene-specific DNA methylation profiles and LINE-1 hypomethylation are associated with myocardial infarction risk

(2015) Simonetta Guarrera et al.   Clinical Epigenetics

Second-generation PLINK: rising to the challenge of larger and richer datasets

(2015) Christopher C Chang et al.   GigaScience

Minfi: a flexible and comprehensive Bioconductor package for the analysis of Infinium DNA methylation microarrays

(2014) Martin J. Aryee et al.   BIOINFORMATICS

Evaluation of microarray-based DNA methylation measurement using technical replicates: the Atherosclerosis Risk In Communities (ARIC) Study

(2014) Maitreyee Bose et al.   BMC BIOINFORMATICS

Genetic and environmental exposures constrain epigenetic drift over the human life course

(2014) Sonia Shah et al.   GENOME RESEARCH

Gene Expression Signatures of Coronary Heart Disease

(2013) Roby Joehanes et al.   ARTERIOSCLEROSIS THROMBOSIS AND VASCULAR BIOLOGY

A data-driven approach to preprocessing Illumina 450K methylation array data

(2013) Ruth Pidsley et al.   BMC GENOMICS

DNA methylation age of human tissues and cell types

(2013) Steve Horvath   GENOME BIOLOGY

A beta-mixture quantile normalization method for correcting probe design bias in Illumina Infinium 450 k DNA methylation data

(2012) Andrew E. Teschendorff et al.   BIOINFORMATICS

DNA methylation arrays as surrogate measures of cell mixture distribution

(2012) Eugene Houseman et al.   BMC BIOINFORMATICS

Genome-wide Methylation Profiles Reveal Quantitative Views of Human Aging Rates

(2012) Gregory Hannum et al.   MOLECULAR CELL

High density DNA methylation array with single CpG site resolution

(2011) Marina Bibikova et al.   GENOMICS

Cohort Profile: The Lothian Birth Cohorts of 1921 and 1936

(2011) I. J. Deary et al.   INTERNATIONAL JOURNAL OF EPIDEMIOLOGY

Ischemic Heart Disease and Stroke in Relation to Blood DNA Methylation

(2010) Andrea Baccarelli et al.   EPIDEMIOLOGY

Simple Combinations of Lineage-Determining Transcription Factors Prime cis-Regulatory Elements Required for Macrophage and B Cell Identities

(2010) Sven Heinz et al.   MOLECULAR CELL

DNA Methylation as a Biomarker for Cardiovascular Disease Risk

(2010) Myungjin Kim et al.   PLoS One

General Cardiovascular Risk Profile for Use in Primary Care

(2008) Ralph B. D’Agostino et al.   CIRCULATION