Assessment and characterization of phenotypic heterogeneity of anxiety disorders across five large cohorts.
Assessment and characterization of phenotypic heterogeneity of anxiety disorders across five large cohorts.
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DOI：
10.1002/mpr.1519
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发表时间：
2016-12
影响因子：
3.1
通讯作者：
Hettema, John M.
中科院分区：
文献类型：
--
作者：
Lee, Minyoung;Aggen, Steven H.;Otowa, Takeshi;Castelao, Enrique;Preisig, Martin;Grabe, Hans J.;Hartman, Catharina A.;Oldehinkel, Albertine J.;Middeldorp, Christel M.;Tiemeier, Henning;Hettema, John M.
To achieve sample sizes necessary for effectively conducting genome-wide association studies (GWAS), researchers often combine data from samples possessing multiple potential sources of heterogeneity. This is particularly relevant for psychiatric disorders, where symptom self-report, differing assessment instruments, and diagnostic comorbidity complicates the phenotypes and contribute to difficulties with detecting and replicating genetic association signals. We investigated sources of heterogeneity of anxiety disorders (ADs) across five large cohorts used in a GWAS meta-analysis project using a dimensional structural modeling approach including confirmatory factor analyses (CFA) and measurement invariance (MI) testing. CFA indicated a single-factor model provided the best fit in each sample with the same pattern of factor loadings. MI testing indicated degrees of failure of metric and scalar invariance which depended on the inclusion of the effects of sex and age in the model. This is the first study to examine the phenotypic structure of psychiatric disorder phenotypes simultaneously across multiple, large cohorts used for GWAS. The analyses provide evidence for higher order invariance but possible break-down at more detailed levels that can be subtly influenced by included covariates, suggesting caution when combining such data. These methods have significance for large-scale collaborative studies that draw on multiple, potentially heterogeneous datasets.
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DOI：
10.1080/10705519909540118
发表时间：
1999-01-01
影响因子：
6
作者：
Hu, Li-tze;Bentler, Peter M.
通讯作者：
Bentler, Peter M.
影响因子：
11
作者：
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
通讯作者：
Hettema JM
DOI：
10.1176/appi.ajp.2008.08020320
发表时间：
2008-12
期刊：
The American journal of psychiatry
影响因子：
--
作者：
Bloch MH;Landeros-Weisenberger A;Rosario MC;Pittenger C;Leckman JF
通讯作者：
Leckman JF
影响因子：
3.7
作者：
Manchia M;Cullis J;Turecki G;Rouleau GA;Uher R;Alda M
通讯作者：
Alda M
DOI：
10.1080/10705510701301834
发表时间：
2005-01-01
影响因子：
6
作者：
Chen, FF;Sousa, KH;West, SG
通讯作者：
West, SG