[Infants living with their mothers in the Rennes, France, prison for women between 1998 and 2013. Facts and perspectives]. / Les nourrissons vivant auprès de leur mère incarcérée au centre pénitentiaire des femmes de Rennes entre 1998 et 2013. Constats et perspectives.

Every year in France, nearly 50 infants live in a prison nursery with their mother. According to French law, infants can live with their mother in the prison nursery until they reach 18 months of age. The international community is concerned about the lack of validated social, medical and legal data on these infants living in prison. This was a retrospective and descriptive study. Medical and paramedical files of the General Council of Île-et-Vilaine, France, were studied. Every infant born between 1998 and 2013 while their mother was in prison were included. Fifty-four files were collected. The average length of stay was 6.2 months (n=54). The type of the mother's prison sentence was property damage in 40 % of cases, personal injury in 51.1 % of cases and both in 8.9 % of cases (n=45). The length of the mother's imprisonment was on average 45 months, ranging from 3 to 216 months (n=34). After prison, 42.9 % of the infants were placed in foster care and 57.1 % resided with their family (n=42). This child-mother incarceration could be an opportunity for positive intergenerational paramedical, medical and social services. The lack of data and problems collecting data restrict our knowledge of these families. This should motivate a national follow-up for these children.

[Analysis of gene expression data regulated by clock-genes: methodological approach and optimization]. / Analyse de données d'expression transcriptomiques rythmées par des gènes-horloge: approche méthodologique et optimisation.

BACKGROUND: In microarray data, wide-scale correlations are numerous and increase the number of genes correlated to a test condition (phenotype, mutation status, etc.) either positively or negatively. Several methods have been developed to limit the effect of such correlations on the false discovery rate, but these may reject too many genes that have a mild or indirect impact on the studied condition. We propose here a simple methodology to correct this spurious effect without eliminating weak but true correlations. RESULTS: This methodology was applied to a microarray dataset designed to distinguish heterozygous BRCA1 mutation carriers from non-carriers. As our samples were collected at different times in the morning, we evaluated the effect of correlations due to circadian rhythm. The circadian system is a well-known correlation network, regulated by a small number of period genes whose expression varies throughout the day in predictable ways. The downstream effects of this variation on the expression of other genes, however, are incompletely characterized. We used two different strategies to correct this correlation bias, by either dividing or multiplying the expression of correlated genes by the expression of the considered period gene according to the sign of the correlation between the period gene and correlated gene (respectively positive or negative). CONCLUSIONS: We observed a linear relationship between the number of false-positive/negative genes and the strength of the correlation of the candidate gene to the test condition. BRCA1 was highly correlated to the period gene Per1; our correction methodology enabled us to recover genes coding for BRCA1-interacting proteins which were not selected in the initial direct analysis. This methodology may be valuable for other studies and can be applied very easily in case of well-known correlation networks.