Genetic Association of Recovery from Eating Disorders: The Role of GABA Receptor SNPs.
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Version: author
UNIL restricted access
State: Public
Version: author
Serval ID
serval:BIB_BEE86E381580
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Genetic Association of Recovery from Eating Disorders: The Role of GABA Receptor SNPs.
Journal
Neuropsychopharmacology
ISSN
1740-634X (Electronic)
ISSN-L
0006-3223
Publication state
Published
Issued date
2011
Peer-reviewed
Oui
Volume
36
Number
11
Pages
2222-32
Language
english
Abstract
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.
Pubmed
Web of science
Open Access
Yes
Create date
30/09/2011 15:09
Last modification date
20/08/2019 15:33