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Showing 1 to 20 of 323 for “"Association studies"”.
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Haplotype-Based Association Studies: Approaches to Current Challenges
<p>Haplotype-based association studies have greatly aided researchers in their attempts to map genes. However, current designs of haplotype-based association studies lead to several challenges from a statistical perspective. To reduce the number of variants, some researchers have employed …
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Statistical co-analysis of high-dimensional association studies
… definitions. Understanding patterns of association across this range of phenotypes requires co-analysis of high-dimensional association studies in order to characterise shared and distinct elements. In this thesis I address several problems in this area, with a general linking aim of …
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Assessment of Penalized Regression for Genome-wide Association Studies
The data from genome-wide association studies (GWAS) in humans are still predominantly analyzed using single marker association methods. As an alternative to Single Marker Analysis (SMA), all or subsets of markers can be tested simultaneously. This approach requires a form of Penalized Regression …
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Identification of genomic factors using family-based association studies
<p>Genome-wide association studies become increasingly popular and important for detecting genetic associations of complex traits. However, it is well known that spurious associations could arise from statistical analysis without proper consideration of genetic relatedness of samples. Many methods …
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Exploring nonlinear regression methods, with application to association studies
… to search the resulting model space. Genetic Association Studies comprise an area that stands to gain greatly from the development of more sophisticated regression methods. While these studies’ ability to interrogate the genome has advanced rapidly over recent years, it is thought that a lack …
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Leveraging the microbiome in host genome wide association studies
Genome-wide association study (GWAS) has emerged as an effective method for detecting genetic polymorphisms associated with expressed phenotypes. Over the past decade, GWAS of human traits and diseases has revolutionized the field of complex disease genetics, identifying hundreds of genetic …
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Phenotype prediction and feature selection in genome-wide association studies
Genome wide association studies (GWAS) search for correlations between single nucleotide polymorphisms (SNPs) in a subject genome and an observed phenotype. GWAS can be used to generate models for predicting phenotype based on genotype, as well as aiding in identification of specific genes …
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Towards constructing disease relationship networks using genome-wide association studies
Background: Genome-wide association studies (GWAS) prove to be a powerful approach to identify the genetic basis of various human[1] diseases. Here we take advantage of existing GWAS data and attempt to build a framework to understand the complex relationships among diseases. Specifically, we …
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Facilitating Pharmacogenetic Association Studies Using an Extensible Genotype Information Management System
… with the intent to facilitate genotype-phenotype association studies and catalyze pharmacogenomic research. COBRA-DB is an internal, proprietary application in use by the Division of Clinical Pharmacology at Indiana University School of Medicine.
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A comparative analysis of machine learning algorithms for genome wide association studies
… common source of genetic variations. Genome Wide Association Studies (GWAS) probe these variations present in human population and find their association with complex genetic disorders. Now these days, recent advances in technology and drastic reduction in costs of Genome Wide Association Studies …
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Bayesian Model Uncertainty and Prior Choice with Applications to Genetic Association Studies
… the biological application of genetic association studies involving single nucleotide polymorphisms. While the most common approach to this problem has been to apply a marginal test to all genetic markers, we employ analytical strategies that improve upon these marginal methods by …
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Characterizing non-coding hits in genome-wide association studies using epigenetic data
… within reach. In the last ten years, genome-wide association studies have identified thousands of genetic variants associated with disease. However, the majority of these variants fall outside genes making interpreting their role in disease difficult. In parallel, the ENCODE and Roadmap …
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Novel Statistical Methods for Multiple-variant Genetic Association Studies with Related Individuals
Genetic association studies usually include related individuals. Meanwhile, high-throughput sequencing technologies produce data of multiple genetic variants. Due to linkage disequilibrium (LD) and familial relatedness, the genotype data from such studies often carries complex correlations. …
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Rare Variant Association Studies In Crohn’S Disease and Colorectal Cancer: Methods and Applications
… cancer morbidity and mortality. Genome-wide association studies using single marker approaches have identified loci responsible for these diseases, but disease susceptibility from rare variants is incompletely understood. This dissertation includes three chapters, two association studies for …
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A GPU program to compute SNP-SNP interactions in genome-wide association studies
With the recent advances in the next generation sequencing technologies, short read sequences of human genome are made more accessible. Paired end sequencing of short reads is currently the most sensitive method for detecting somatic mutations that arise during tumor development. In this study, a …
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Repurposing variance genome-wide association studies (vGWAS) for identifying gene-by-environment interactions
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-12-04 without embargo terms
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