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Meta-analysis of genome-wide association studies of anxiety disorders.

Authors :
Otowa T
Hek K
Lee M
Byrne EM
Mirza SS
Nivard MG
Bigdeli T
Aggen SH
Adkins D
Wolen A
Fanous A
Keller MC
Castelao E
Kutalik Z
Van der Auwera S
Homuth G
Nauck M
Teumer A
Milaneschi Y
Hottenga JJ
Direk N
Hofman A
Uitterlinden A
Mulder CL
Henders AK
Medland SE
Gordon S
Heath AC
Madden PA
Pergadia ML
van der Most PJ
Nolte IM
van Oort FV
Hartman CA
Oldehinkel AJ
Preisig M
Grabe HJ
Middeldorp CM
Penninx BW
Boomsma D
Martin NG
Montgomery G
Maher BS
van den Oord EJ
Wray NR
Tiemeier H
Hettema JM
Source :
Molecular psychiatry [Mol Psychiatry] 2016 Oct; Vol. 21 (10), pp. 1391-9. Date of Electronic Publication: 2016 Jan 12.
Publication Year :
2016

Abstract

Anxiety disorders (ADs), namely generalized AD, panic disorder and phobias, are common, etiologically complex conditions with a partially genetic basis. Despite differing on diagnostic definitions based on clinical presentation, ADs likely represent various expressions of an underlying common diathesis of abnormal regulation of basic threat-response systems. We conducted genome-wide association analyses in nine samples of European ancestry from seven large, independent studies. To identify genetic variants contributing to genetic susceptibility shared across interview-generated DSM-based ADs, we applied two phenotypic approaches: (1) comparisons between categorical AD cases and supernormal controls, and (2) quantitative phenotypic factor scores (FS) derived from a multivariate analysis combining information across the clinical phenotypes. We used logistic and linear regression, respectively, to analyze the association between these phenotypes and genome-wide single nucleotide polymorphisms. Meta-analysis for each phenotype combined results across the nine samples for over 18 000 unrelated individuals. Each meta-analysis identified a different genome-wide significant region, with the following markers showing the strongest association: for case-control contrasts, rs1709393 located in an uncharacterized non-coding RNA locus on chromosomal band 3q12.3 (P=1.65 × 10(-8)); for FS, rs1067327 within CAMKMT encoding the calmodulin-lysine N-methyltransferase on chromosomal band 2p21 (P=2.86 × 10(-9)). Independent replication and further exploration of these findings are needed to more fully understand the role of these variants in risk and expression of ADs.<br />Competing Interests: The authors declare no conflicts of interest.

Details

Language :
English
ISSN :
1476-5578
Volume :
21
Issue :
10
Database :
MEDLINE
Journal :
Molecular psychiatry
Publication Type :
Academic Journal
Accession number :
26754954
Full Text :
https://doi.org/10.1038/mp.2015.197