Sylvain P Sebert

This study conducts an epigenome-wide association study (EWAS) meta-analysis of wellbeing using DNA methylation data, finding no significant methylation sites but suggesting the need for larger studies.

The paper conducts a multi-ancestry, trans-generational GWAS meta-analysis of gestational diabetes and glycemic traits, identifying novel loci and highlighting limited pregnancy-specific genetic effects.

This study examines how genetic variants linked to gestational diabetes affect maternal glucose levels during and after pregnancy, finding consistent associations with fasting glucose but varying effects on postprandial glucose.

This study uses genome-wide meta-regression to analyze social behavior across different contexts, ages, and reporters, identifying six genetic loci and showing modest heritability.

The paper introduces a framework for time-varying GWAS to identify age-varying genetic effects on BMI across childhood, finding 28 genome-wide significant variants, including a novel one in DAOA.

This study uses longitudinal meta-regression to examine how DNA methylation effects on child health outcomes vary by timing, finding larger effects in childhood but noisier associations and time-specific signals.

This study identifies 40 genetic loci associated with placental weight using GWAS in 179,025 children and parents, revealing shared and distinct genetic influences with fetal growth.

This paper introduces FiniMOM, a Bayesian fine-mapping method that improves detection of multiple causal variants using non-local priors and summary data from GWAS.

The paper identifies a genetic variant in SPDL1 that links pulmonary fibrosis risk and cancer protection through antagonistic pleiotropy.

The paper outlines the protocol for the EarlyCause project, which investigates the biological mechanisms linking early-life stress to psycho-cardio-metabolic multi-morbidity using longitudinal data, animal models, and cellular systems.

This paper identifies DNA methylation sites associated with aggression through a meta-analysis of epigenome-wide studies across different age groups and tissues.

The paper examines how sex and underlying disease influence the genetic link between prolonged QT interval and sudden cardiac death risk using logistic regression and Mendelian randomization.

This study identifies seven novel genetic loci associated with circulating cytokines and cell adhesion molecules in Finns through GWAS and meta-analysis.

The paper introduces methylSCOPA and META-methylSCOPA software for multi-phenotype epigenome-wide association studies, identifying significant methylation sites associated with fasting glucose and insulin levels.

The paper uses machine learning to predict glycaemic traits from multi-omics data in longitudinal cohorts, identifying key predictors like methylation marks and metabolic variables.

This study identifies maternal genetic variants associated with offspring birth weight using GWAS and SEM, showing independent effects from fetal genetics.

The paper identifies genetic variants associated with post-term birth in Northern Finland cohorts and links some to gene expression changes.

This study identifies genetic loci associated with early childhood growth phenotypes and links them to later adiposity traits, suggesting potential targets for obesity prevention.