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Vanderbilt University

1. Wanga, Valentine Adhiambo. Residual-based Test of Conditional Association between Continuous and Ordinal Variables with Application to Genome-wide Association Studies.

Degree: MS, Biostatistics, 2014, Vanderbilt University

URL: http://hdl.handle.net/1803/12859 

The discovery of genes linked with a large array of diseases has been accelerated by genome-wide association studies (GWAS), in which genetic variants in different individuals are examined for relationship with a specified phenotype. Most GWAS analyses require modeling the association between single nucleotide polymorphisms (SNPs) and the outcome of interest as additive, dominant, or recessive. In general, this relationship is not known. The genotypes of a marker can be regarded as ordered categorical. An additive model assumes linearity, and approaches that categorize the data ignore order information, resulting in loss of power. Therefore, a method that only assumes a monotonic relationship between SNPs and the outcome of interest may be more robust and powerful than standard approaches. In this thesis, we explore the use of such a method using pharmacogenomics data from a clinical trial that randomized 1858 HIV-infected patients to one of four antiretroviral regimen combinations (tenofovir+efavirenz, tenofovir+atazanavir, abacavir+efaverinz, and abacavir+atazanavir). We are specifically interested in detecting SNPs that are associated with tenofovir clearance and creatinine clearance. We assess the performance of the new method versus the additive, dominant, and recessive models via simulation studies and real data analyses, and compare and contrast findings. Advisors/Committee Members: Chun Li (Committee Chair), Bryan Shepherd (Committee Chair).

Subjects/Keywords: categorical.; additive; recessive; tenofovir; HIV; pharmacokinetics; creatinine clearance; CoCoBOT; dominant

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Wanga, V. A. (2014). Residual-based Test of Conditional Association between Continuous and Ordinal Variables with Application to Genome-wide Association Studies. (Thesis). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/12859

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Wanga, Valentine Adhiambo. “Residual-based Test of Conditional Association between Continuous and Ordinal Variables with Application to Genome-wide Association Studies.” 2014. Thesis, Vanderbilt University. Accessed March 09, 2021. http://hdl.handle.net/1803/12859.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Wanga, Valentine Adhiambo. “Residual-based Test of Conditional Association between Continuous and Ordinal Variables with Application to Genome-wide Association Studies.” 2014. Web. 09 Mar 2021.

Vancouver:

Wanga VA. Residual-based Test of Conditional Association between Continuous and Ordinal Variables with Application to Genome-wide Association Studies. [Internet] [Thesis]. Vanderbilt University; 2014. [cited 2021 Mar 09]. Available from: http://hdl.handle.net/1803/12859.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wanga VA. Residual-based Test of Conditional Association between Continuous and Ordinal Variables with Application to Genome-wide Association Studies. [Thesis]. Vanderbilt University; 2014. Available from: http://hdl.handle.net/1803/12859

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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