Statistical Science

Statistical Analysis in Genetic Studies of Mental Illnesses

Heping Zhang

Full-text: Open access

Abstract

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.

Article information

Source
Statist. Sci., Volume 26, Number 1 (2011), 116-129.

Dates
First available in Project Euclid: 9 June 2011

Permanent link to this document
https://projecteuclid.org/euclid.ss/1307626569

Digital Object Identifier
doi:10.1214/11-STS353

Mathematical Reviews number (MathSciNet)
MR2866281

Zentralblatt MATH identifier
1219.92050

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

Citation

Zhang, Heping. Statistical Analysis in Genetic Studies of Mental Illnesses. Statist. Sci. 26 (2011), no. 1, 116--129. doi:10.1214/11-STS353. https://projecteuclid.org/euclid.ss/1307626569


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