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February 2011 Statistical Analysis in Genetic Studies of Mental Illnesses
Heping Zhang
Statist. Sci. 26(1): 116-129 (February 2011). DOI: 10.1214/11-STS353


Identifying the risk factors for mental illnesses is of significant public health importance. Diagnosis, stigma associated with mental illnesses, comorbidity, and complex etiologies, among others, make it very challenging to study mental disorders. Genetic studies of mental illnesses date back at least a century ago, beginning with descriptive studies based on Mendelian laws of inheritance. A variety of study designs including twin studies, family studies, linkage analysis, and more recently, genomewide association studies have been employed to study the genetics of mental illnesses, or complex diseases in general. In this paper, I will present the challenges and methods from a statistical perspective and focus on genetic association studies.


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Heping Zhang. "Statistical Analysis in Genetic Studies of Mental Illnesses." Statist. Sci. 26 (1) 116 - 129, February 2011.


Published: February 2011
First available in Project Euclid: 9 June 2011

zbMATH: 1219.92050
MathSciNet: MR2866281
Digital Object Identifier: 10.1214/11-STS353

Keywords: Comorbidity , covariate adjusted association test , FBAT , Kendall’s tau , multiple traits , ordinal traits

Rights: Copyright © 2011 Institute of Mathematical Statistics


Vol.26 • No. 1 • February 2011
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