Incorporating annotation data in quantitative trait loci mapping with mRNA transcripts

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dc.contributor.advisorGuerra, Rudyen_US
dc.creatorChristian, James Blairen_US
dc.date.accessioned2018-12-03T18:32:42Zen_US
dc.date.available2018-12-03T18:32:42Zen_US
dc.date.issued2009en_US
dc.description.abstractMicroarrays allow measurements of the quantity of every mRNA transcript in a subject and of the particular versions of their genes. Understanding the relationship between a particular genetic location and its expression is fundamental to elucidating the relationships among genes, other genes' transcripts, and proteins translated from those transcripts. Currently, few statistical labs have developed models that use all available biological information. This research helps develop the knowledge base used by the 21st century's pioneering researchers in oncology, metabolic engineering and pharmacogenetics. To strengthen the available models, I introduced a biological distance based covariance matrix. Using simulated data, I examined the incorporation of biological distance in statistical genetics, specifically into expression quantitative trait loci mapping. I used receiver operator characteristic curves to compare these approaches, and generated recommendations for when it is advantageous to include annotation information into gene mapping. The greatest benefit arises in pleiotropic relationships where each transcript has low heritability, although using excessively noisy annotations is disadvantageous. These tools fill a small part of the gap in our understanding of the complex dynamical system that is molecular or systems biology.en_US
dc.format.extent103 ppen_US
dc.identifier.callnoTHESIS STAT. 2009 CHRISTIANen_US
dc.identifier.citationChristian, James Blair. "Incorporating annotation data in quantitative trait loci mapping with mRNA transcripts." (2009) Diss., Rice University. <a href="https://hdl.handle.net/1911/103691">https://hdl.handle.net/1911/103691</a>.en_US
dc.identifier.digital304990003en_US
dc.identifier.urihttps://hdl.handle.net/1911/103691en_US
dc.language.isoengen_US
dc.rightsCopyright is held by the author, unless otherwise indicated. Permission to reuse, publish, or reproduce the work beyond the bounds of fair use or other exemptions to copyright law must be obtained from the copyright holder.en_US
dc.subjectStatisticsen_US
dc.subjectBioinformaticsen_US
dc.subjectPure sciencesen_US
dc.subjectBiological sciencesen_US
dc.subjectAnnotationsen_US
dc.subjectGene mappingen_US
dc.subjectQuantitative trait loci mRNAen_US
dc.subjecttranscriptsen_US
dc.titleIncorporating annotation data in quantitative trait loci mapping with mRNA transcriptsen_US
dc.typeThesisen_US
dc.type.materialTexten_US
thesis.degree.departmentStatisticsen_US
thesis.degree.disciplineEngineeringen_US
thesis.degree.grantorRice Universityen_US
thesis.degree.levelDoctoralen_US
thesis.degree.nameDoctor of Philosophyen_US
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