Literature DB >> 21750581

Genetic association of recovery from eating disorders: the role of GABA receptor SNPs.

Cinnamon S Bloss1, Wade Berrettini, Andrew W Bergen, Pierre Magistretti, Vikas Duvvuri, Michael Strober, Harry Brandt, Steve Crawford, Scott Crow, Manfred M Fichter, Katherine A Halmi, Craig Johnson, Allan S Kaplan, Pamela Keel, Kelly L Klump, James Mitchell, Janet Treasure, D Blake Woodside, Enrica Marzola, Nicholas J Schork, Walter H Kaye.   

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.

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Year:  2011        PMID: 21750581      PMCID: PMC3176559          DOI: 10.1038/npp.2011.108

Source DB:  PubMed          Journal:  Neuropsychopharmacology        ISSN: 0893-133X            Impact factor:   7.853


  55 in total

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  10 in total

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