Exploration of genome-wide DNA methylation profiles in night shift workers

Figures & data

Figure 1. Flowchart of the study population: inclusions and exclusion.

Table 1. Characteristics of the study population.

Study population (n = 165)
Women (n = 91)	Non-SW (n = 31)	Short night SW (n = 28)	Int. night SW (n = 32)
Age (in years, mean (SD))	40.1 (8.8)	37.9 (9.6)	39.5 (7.7)
BMI (in kg/M^2, mean (SD)) (= 85)	24.1 (3.5)	26.6 (5.4)	25.0 (3.8)
Frequency of night shifts/ month (mean, SD)		4.2 (1.4)	4.9 (2.8)
Duration of night shifts in years (mean, SD)		3.7 (1.4)	13.9 (1.6)
Men (n = 74)	Non-SW (n = 24)	Short night SW (n = 24)	Int. night SW (n = 26)
Age (in years, mean (SD))	41.6 (8.3)	40.6 (7.9)	42.3 (8.1)
BMI (in kg/M^2, mean (SD)) (n = 63)	25.3 (3.1)	25.7 (3.4)	27.2 (3.6)
Frequency of night shifts/ month (mean, SD)		5.4 (1.6)	5.5 (1.4)
Duration of night shifts in years (mean, SD)		4.1 (1.1)	13.9 (1.5)

Non-SW = non-shift workers, short night SW = short-term night shift workers (2–6 years), int. night SW = intermediate term night shift workers (10–16 years).

Figure 2. Manhattan plots depicting p-value for comparisons between groups in men (a) and women (b) per CpG site. Red line indicates p value of 9 *10⁻⁸ and blue line indicates p = 0.0005.

Figure 3. Boxplots of age acceleration residuals in male non-shift workers (n = 31), short term shift workers (n = 28) and intermediate term shift workers (n = 32) using four different models: Horvath Hannum, PhenoAge and GrimAge.

Figure 4. Boxplots of age acceleration residuals in female non-shift workers (n = 24), short term shift workers (n = 24) and intermediate term shift workers (n = 26) using four different models: Horvath Hannum, PhenoAge and GrimAge.