Additional file 1: Fig. S1. Components of variation in the whole methylome dataset. a) Scree plot representing the percentage of explained variability by the first five principal components of PCA performed on the whole dataset (n=731,635 CpG sites, n=255 samples). b) Singular value decomposition (SVD) plot assessing the correlation between the first five significant components of variation in the dataset and other biological factors of interest (Hypertension type –PHT, CS, PA, PPGL-, age, sex, cell...

Additional file 4: Table S3. Significant differentially methylated genes in endocrine hypertension.

Additional file 3: Table S2. Enriched signaling pathways in endocrine hypertension.

Additional file 6: Table S6. Methylome-based estimation of blood cell composition.

Additional file 4: Supplementary Table S4. Baseline characteristics of the employees by indicators of atypical working hours in women between 2012-2017.

Additional file 5: Supplementary Table S5. Baseline characteristics of the employees by indicators of atypical working hours in men between 2012-2016.

Additional file 6: Supplementary Table S6. Baseline characteristics of the employees by indicators of atypical working hours in women between 2012-2017.

Additional file 2: Supplementary Table S2. The principal component analysis of the qualitative food frequency questionnaire using the Varimax rotation.

Additional file 6: Supplementary Table S6. Baseline characteristics of the employees by indicators of atypical working hours in women between 2012-2017.

Additional file 2: Supplemental Text.

Additional file 1: Fig. S1. Components of variation in the whole methylome dataset. a) Scree plot representing the percentage of explained variability by the first five principal components of PCA performed on the whole dataset (n=731,635 CpG sites, n=255 samples). b) Singular value decomposition (SVD) plot assessing the correlation between the first five significant components of variation in the dataset and other biological factors of interest (Hypertension type –PHT, CS, PA, PPGL-, age, sex, cell...

Additional file 2: Table S1. Differentially methylated CpG sites in endocrine hypertension.

Additional file 1: Figures and Tables.

Additional file 3: Supplementary Table S3. Baseline characteristics of the employees by indicators of atypical working hours in men between 2012-2017.

Additional file 5: Supplementary Table S5. Baseline characteristics of the employees by indicators of atypical working hours in men between 2012-2016.

Abstract Background This study examined prospective associations between atypical working hours with subsequent tobacco, cannabis and alcohol use as well as sugar and fat consumption. Methods In the French population-based CONSTANCES cohort, 47,288 men and 53,324 women currently employed included between 2012 and 2017 were annually followed for tobacco and cannabis use. Among them, 35,647 men and 39,767 women included between 2012 and 2016 were also followed for alcohol and sugar and fat consumption. Three...

Abstract Background Arterial hypertension represents a worldwide health burden and a major risk factor for cardiovascular morbidity and mortality. Hypertension can be primary (primary hypertension, PHT), or secondary to endocrine disorders (endocrine hypertension, EHT), such as Cushing's syndrome (CS), primary aldosteronism (PA), and pheochromocytoma/paraganglioma (PPGL). Diagnosis of EHT is currently based on hormone assays. Efficient detection remains challenging, but is crucial to properly orientate patients for diagnostic confirmation and specific treatment. More accurate biomarkers would...

Abstract Background Arterial hypertension represents a worldwide health burden and a major risk factor for cardiovascular morbidity and mortality. Hypertension can be primary (primary hypertension, PHT), or secondary to endocrine disorders (endocrine hypertension, EHT), such as Cushing's syndrome (CS), primary aldosteronism (PA), and pheochromocytoma/paraganglioma (PPGL). Diagnosis of EHT is currently based on hormone assays. Efficient detection remains challenging, but is crucial to properly orientate patients for diagnostic confirmation and specific treatment. More accurate biomarkers would...

Additional file 1: Supplementary Table S1. The distribution of employees by periods of follow-up.

Abstract Background Impact of in-ICU transfusion on long-term outcomes remains unknown. The purpose of this study was to assess in critical-care survivors the association between in-ICU red blood cells transfusion and 1-year mortality. Methods FROG-ICU, a multicenter European study enrolling all-comers critical care patients was analyzed (n = 1551). Association between red blood cells transfusion administered in intensive care unit and 1-year mortality in critical care survivors was analyzed using an augmented inverse probability of...

Abstract Background Impact of in-ICU transfusion on long-term outcomes remains unknown. The purpose of this study was to assess in critical-care survivors the association between in-ICU red blood cells transfusion and 1-year mortality. Methods FROG-ICU, a multicenter European study enrolling all-comers critical care patients was analyzed (n = 1551). Association between red blood cells transfusion administered in intensive care unit and 1-year mortality in critical care survivors was analyzed using an augmented inverse probability of...

Additional file 1: Figures and Tables.

Additional file 2: Supplemental Text.

Additional file 3: Supplementary Table S3. Baseline characteristics of the employees by indicators of atypical working hours in men between 2012-2017.

Additional file 4: Supplementary Table S4. Baseline characteristics of the employees by indicators of atypical working hours in women between 2012-2017.