Genetic Association of Recovery from Eating Disorders: The Role of GABA Receptor SNPs.

Follow-up studies of eating disorders (EDs) suggest outcomes ranging from recovery to chronic illness or death, but predictors of outcome have not been consistently identified. We tested 5151 single-nucleotide polymorphisms (SNPs) in approximately 350 candidate genes for association with recovery from ED in 1878 women. Initial analyses focused on a strictly defined discovery cohort of women who were over age 25 years, carried a lifetime diagnosis of an ED, and for whom data were available regarding the presence (n=361 ongoing symptoms in the past year, ie, 'ill') or absence (n=115 no symptoms in the past year, ie, 'recovered') of ED symptoms. An intronic SNP (rs17536211) in GABRG1 showed the strongest statistical evidence of association (p=4.63 × 10(-6), false discovery rate (FDR)=0.021, odds ratio (OR)=0.46). We replicated these findings in a more liberally defined cohort of women age 25 years or younger (n=464 ill, n=107 recovered; p=0.0336, OR=0.68; combined sample p=4.57 × 10(-6), FDR=0.0049, OR=0.55). Enrichment analyses revealed that GABA (γ-aminobutyric acid) SNPs were over-represented among SNPs associated at p<0.05 in both the discovery (Z=3.64, p=0.0003) and combined cohorts (Z=2.07, p=0.0388). In follow-up phenomic association analyses with a third independent cohort (n=154 ED cases, n=677 controls), rs17536211 was associated with trait anxiety (p=0.049), suggesting a possible mechanism through which this variant may influence ED outcome. These findings could provide new insights into the development of more effective interventions for the most treatment-resistant patients.

Les registres publics à l'ère du numérique

Les registres publics contiennent des informations très riches sur les administrés. Étant de plus en plus souvent informatisés et capables d'échanger des données, ces registres pourraient constituer une ressource inestimable à l'heure de mettre en place l'administration numérique. Cela ne va par contre pas sans poser des problèmes de protection des données et implique dans tous les cas la mise en place de processus de décision quant au partage de ces données, en fonction d'objectifs précis et dans un contexte donné. Dans cet article, nous proposons un cadre d'analyse qui permet d'évaluer les besoins en information pour une prestation administrative donnée, ainsi que les possibilités de partage ou les restrictions en matière de protection de la sphère privée. Public registers contain highly rich information about citizens. As these registers are, to a steadily increasing extent, digitized and designed for data-sharing purposes, they represent an invaluable resource when implementing e-government. At the same time, they raise a number of serious data protection issues that entail, at all events, establishing a decision-making process to frame the sharing of these data on the basis of specific objectives and in accordance with a particular context. In this article, I propose an analytical framework serving to assess both the informational requirements associated with a given administrative service as well as the opportunities for sharing data, coupled with privacy restrictions.