Gitta Lubke

Gitta Lubke


Ph.D., Free University Amsterdam

  • Quantitative


110 Haggar Hall

Notre Dame, IN 46556

Genetics and Statistical Learning Lab

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Gitta Lubke's research interests are in general latent variable modeling and data mining. In addition to the challenges of analysing complex human behavior such as psychiatric disorders, she is interested in the analysis of genetic data. A new topic is the development of multivariate methods for genome-wide association studies (GWAS). Related areas of expertise include mixture models, twin models, measurement invariance, multi-group factor analysis, longitudinal analyses, and the analysis of categorical data.

Recent Publications

Lubke GH, Miller P, Verhulst B, Bartels M, van Beijsterveld TCEM, Willemsen G, Boomsma DI, Middeldorp CM (submitted). A powerful depression phenotype: Trajectories of anxiety and depression between age 7 and age 18 and the role of genetic factors.

Nivard MG, Lubke GH, Dolan CV, Evans DM, St Pourcain B, Munafò MR, Middeldorp CM. (submitted) Joint developmental trajectories of internalizing and externalizing disorders between childhood and adolescence.

Laurin C, Walters R, Boomsma DI, Lubke GH (submitted). The use of vector bootstrapping to improve variable selection precision in Lasso models.

Lubke GH (submitted) Fitting Latent Variable Mixture Models. (book chapter for the Handbook for Psychometric Testing).

Lubke GH, Ouwens KG, de Moor MHM, Boomsma DI (submitted). Trait Anger: Heterogeneity and comorbid disorders.

Laurin C, Hottema JJ, Willemssen G, Boomsma DI, Lubke GH. (in press). Genetic analyses benefit from using less heterogeneous phenotypes: An illustration with the Hospital Anxiety and Depression Scale (HADS). Genetic Epidemiology.

De Zeeuw EL, van Beijsterveldt CEM, Lubke GH, Glasner TJ, de Geus EJC, Boomsma DI (in press) Childhood ODD and ADHD behavior:  Effects of gender, teacher, age and genes and their interactions. Behavior Genetics.

Van Beek JHDA, Lubke GH, de Moor MHM, Willemsen G, de Geus JC, Hottenga JJ, LivGen consortium, Walters RK, Smit JH, Penninx BWJH, Boomsma DI (2014). Heritability of liver enzyme levels estimated from genome-wide SNP data. European Journal of Human Genetics , (26 November 2014) | doi:10.1038/ejhg.2014.259

Lubke GH, Miller P (2014) Does nature have joints worth carving? A discussion of taxometrics, model-based clustering, and latent variable mixture modeling. Psychological Medicine, Aug 19:1-11 [Epub ahead of print].

Benke KS, Nivard MG, Velders FP, Walters RK, Scheet PA, Xiao X, Ehli EA, Palmer LJ, Whitehouse AJO, Groen-Blokhuis MM, van Beijsterveldt CEM, EAGLE, Hudziak JJ, Lubke GH, Boomsma DI, Pennel CE, Tiemeier H, Middeldorp CM (2014) A genome-wide association meta-analysis of Preschool Internalizing Problems. Journal of the American Academy of Child & Adolescent Psychiatry, 53:667-676.