scholarly journals Exploring the Contribution of Proximal Family Risk Factors on SLC6A4 DNA Methylation in Children with a History of Maltreament

2021 ◽  
Author(s):  
Francesco Craig ◽  
Eleonora Mascheroni ◽  
Roberto Giorda ◽  
Maria Grazia Felline ◽  
Maria Grazia Bacco ◽  
...  
Keyword(s):  
Risk Factors ◽  
Dna Methylation ◽  
Family Risk Factors ◽  
Family Risk ◽  
History Of

Exploring the contribution of proximal family risk factors on SLC6A4 DNA methylation in children with a history of maltreatment

scholarly journals Exploring the Contribution of Proximal Family Risk Factors on SLC6A4 DNA Methylation in Children with a History of Maltreatment: A Preliminary Study

2021 ◽  
Vol 18 (23) ◽  
pp. 12736
Author(s):  
Francesco Craig ◽  
Eleonora Mascheroni ◽  
Roberto Giorda ◽  
Maria Grazia Felline ◽  
Maria Grazia Bacco ◽  
...  
Keyword(s):  
Risk Factors ◽  
Dna Methylation ◽  
Childhood Maltreatment ◽  
Criminal History ◽  
Adverse Outcomes ◽  
Hierarchical Regression ◽  
Child Victims ◽  
Family Risk Factors ◽  
Family Risk ◽  
History Of

The cumulative effects of proximal family risk factors have been associated with a high number of adverse outcomes in childhood maltreatment, and DNA methylation of the serotonin transporter gene (SLC6A4) has been associated with child maltreatment. However, the relationships between proximal family risk factors and SLC6A4 methylation remains unexplored. We examined the association among cumulative family risk factors, maltreatment experiences and DNA methylation in the SLC6A4 gene in a sample of 33 child victims of maltreatment. We computed a cumulative family risk (CFR) index that included proximal family risk factors, such as drug or alcohol abuse, psychopathology, parents’ experiences of maltreatment/abuse in childhood, criminal history, and domestic violence. The majority of children (90.9%) experienced more than one type of maltreatment. Hierarchical regression models suggested that the higher the CFR index score and the number of maltreatment experiences, and the older the children, the higher the SLC6A4 DNA methylation levels. Although preliminary, our findings suggest that, along with childhood maltreatment experiences per se, cumulative proximal family risk factors are seemingly critically associated with DNA methylation at the SLC6A4 gene.

Family Risk Factors of Alcoholism and Drinking Patterns among Non Alcoholic Women: An Inverse Relationship?

1988 ◽  
Vol 16 (4) ◽  
pp. 277-282 ◽  
Author(s):  
Sonja Vaglum ◽  
Per Vaglum ◽  
Øivind Larsen
Keyword(s):  
Risk Factors ◽  
Inverse Relationship ◽  
Drinking Pattern ◽  
The Other ◽  
Drinking Patterns ◽  
Family Risk Factors ◽  
Family Risk ◽  
Alcohol Abusers ◽  
Female Employees ◽  
Family Variables

95 non alcoholic female employees were personally interviewed and divided into three drinking pattern groups with an increasing level of alcohol consumption: the traditional feminine drinking group (TF) ( n=28), the new feminine drinking group (NF) ( n=37), and the masculine drinking group (M) ( n=30). The groups were compared on family variables which may be regarded as risk factors of alcoholism. The results show an inverse relationship between family risk factors and consumption level, the TF-group having significantly more risk factors than the other two groups. The TF-women more often came from families where the mother and her parents were abstainers, while the father and his parents were more often alcohol abusers or not abstainers. The TF-women were more often attached to their alcoholic fathers as children, while the M-women were more often attached to their mothers. The choice of drinking pattern may be inversely related to the frequency of family risk factors among non alcoholic women.

Identification of Family Risk Factors of Obesity in Urban Adolescents of North India

2015 ◽  
Vol 2 (2) ◽  
pp. 84
Author(s):  
Mohinder Singh ◽  
SuryaKant Mathur ◽  
Manish Taneja ◽  
Baljeet Maini
Keyword(s):  
Risk Factors ◽  
Urban Adolescents ◽  
North India ◽  
Family Risk Factors ◽  
Family Risk

Gestational and family risk factors for carriers of congenital heart defects in southern Brazil

2011 ◽  
Vol 53 (4) ◽  
pp. 551-557 ◽  
Author(s):  
Tatiana Diehl Zen ◽  
Rafael Fabiano Machado Rosa ◽  
Paulo Ricardo Gazzola Zen ◽  
Patrícia Trevisan ◽  
Alessandra Pawelec da Silva ◽  
...  
Keyword(s):  
Risk Factors ◽  
Congenital Heart Defects ◽  
Congenital Heart ◽  
Heart Defects ◽  
Southern Brazil ◽  
Family Risk Factors ◽  
Family Risk

P6414DNA hydroxymethylation combined with carotid plaques as a novel biomarker for coronary atherosclerosis

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
D Zhang ◽  
D A N Jiang ◽  
P I N G Ge
Keyword(s):  
Risk Factors ◽  
Dna Methylation ◽  
Carotid Plaque ◽  
Coronary Atherosclerosis ◽  
Univariate Analysis ◽  
Diagnostic Value ◽  
Gensini Score ◽  
Carotid Plaques ◽  
History Of ◽  
Hs Crp

Abstract Background Accumulating evidence has shown the association between DNA methylation and hydroxymethylation and the development of atherosclerosis. However, little is known about the diagnostic value of DNA methylation and hydroxymethylation for coronary atherosclerosis. Carotid plaque has a significant correlation with coronary atherosclerosis, which is a common marker for coronary atherosclerosis. Purpose The major aim of the present study is to determine whether DNA methylation and hydroxymethylation combined with carotid plaques can be useful to the diagnosis of coronary atherosclerosis. Methods 113 patients undergoing carotid ultrasound were enrolled into the study and measured the levels of 5-methylcytosine (5-mC) and 5-hydroxymethylcytosine (5-hmC). Crouse score and Gensini score were used to evaluate the severity of carotid and coronary atherosclerosis, respectively. Results With the increasing of severity of carotid plaque and Crouse score, a stepwise upward trend was observed in 5-mC and 5-hmC levels, which were significantly correlated with the risk factors such as FPG and HbA1c levels, Crouse score and Gensini score. Crouse score and 5-hmC, not 5-mC, were the risk factors for coronary atherosclerosis after adjustment for the risk factors. Receiver operating characteristic (ROC) analysis for comparing their diagnostic value for coronary atherosclerosis indicated that 5-hmC combined with Crouse score was the diagnostic biomarker for coronary atherosclerosis, with the highest areas under the curve (AUC), valuable sensitivity and specificity. Logistic regression analysis Variables Univariate analysis Multivariate analysis OR (95% CI) P OR (95% CI) P History of DM 3.680 (1.645–8.235) 0.002 4.487 (0.227–88.680) 0.324 FPG (mmol/L) 1.782 (1.219–2.605) 0.003 0.972 (0.307–3.071) 0.961 HbA1c (%) 1.785 (1.191–2.674) 0.005 2.861 (0.717–11.422) 0.137 TC (mmol/L) 1.171 (0.913–1.502) 0.214 LDL-c (mmol/L) 1.383 (0.939–2.036) 0.100 hs-CRP (mg/L) 1.099 (1.020–1.184) 0.014 1.268 (1.013–1.588) 0.038 Crouse score 1.795 (1.445–2.230) <0.001 1.863 (1.053–3.297) 0.033 5-mC (%) 3.221 (1.851–5.604) <0.001 0.983 (0.386–2.505) 0.972 5-hmC (%) per 0.01% 1.484 (1.265–1.741) <0.001 1.767 (1.250–2.499) 0.001 Conclusions These findings suggest 5-hmC level combined with Crouse score may provide the meaningful information for coronary atherosclerosis diagnosis. Acknowledgement/Funding National Natural Science Foundation of China (No.81570212, No.31800976)

Sign in / Sign up

Export Citation Format

Share Document