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Showing 1 to 20 of 224 for “"Genome-wide association studies"”.
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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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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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A comparative analysis of machine learning algorithms for genome wide association studies
Variations present in human genome play a vital role in the emergence of genetic disorders and abnormal traits. Single Nucleotide Polymorphism (SNP) is considered as the most common source of genetic variations. Genome Wide Association Studies (GWAS) probe these variations present in human …
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Characterizing non-coding hits in genome-wide association studies using epigenetic data
… putting it 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 …
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A GPU program to compute SNP-SNP interactions in genome-wide association studies
… 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 novel approach to optimize the detection of structural …
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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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Rice and mouse quantitative phenotype prediction in genome-wide association studies with support vector regression
… tests. The scientific community conducted many studies to find unobserved quantitative phenotype high predictive ability models. Early genome-wide association studies (GWAS) focused on genetic variants that are associated with disease or phenotype, however, these variants manly covers small …
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C6 and C9 volatile compounds in 223 cucumbers (cucumis sativus L.) In Genome-Wide Association Studies (GWAS)
… compounds to sketch a relationship between genome and flavor development while providing breeders with qualitative information for future research.
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Context-Driven Prior Distributions in Genome–Wide Association Studies, Medical Device Adaptive Clinical Trials, and Genetic Fine-Mapping
Present research has gravitated towards making inferences from high-dimensional data, the scenario when we have considerably more variables than the number of observations we have to estimate their effects on a given outcome, and standard statistical methodology cannot be used here. Models assuming …
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Quantification of sugars and organic acids in 210 cucumber (cucurbis sativus) varieties for genome-wide association studies (GWAS)
… information on the sugar and acid contents in Genome-Wide Association Study (GWAS) cucumbers. This study aimed to measure total soluble solid content (ºBrix), three main sugars via high-performance liquid chromatography (HPLC), pH, titratable acidity (TA), and three main organic acids via HPLC …
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Next Generation Sequencing and Genome-Wide Association Studies to Identify Mitochondrial Genomic Features Associated with Diabetic Kidney Disease
… (SNPs) affecting mitochondrial function for association with DKD.<br/><br/>Targeted genome wide association analyses focusing on mitochondrial DNA (mtDNA) and nuclear genes involved with mitochondrial function were performed using DNA samples from the All Ireland / Warren 3 Genetics of …
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The Parallax of Personalized Medicine: A Critical, Socio-Medical Analysis of the Trajectory of Pharmacogenomics and Genome Wide Association Studies
… and medical processes like pharmacogenomics and Genome Wide Association Studies (GWAS) may further perpetuate medical inequity, health disparities, and discrimination. Thus, it is important that we (in the medical community) acknowledge and delegitimize the use of race and racialization in …
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Associations between traits (blood pressure and body height growth) and reproductive timing related genetic variants from genome-wide association studies
Recent genome-wide association studies (GWAS) have identified many common genetic variants that are associated with women’s reproductive timing characteristics including ages at menarche and at natural menopause. However, the associations of these variants with other human health related phenotypes …
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Genetics of Type 2 Diabetes and Metabolic Syndrome: From Genome Wide Linkage Scan and Candidate Genes to Genome Wide Association Studies
… a region linked to obese T2D in an earlier genome wide linkage study; 2) studied IRS1 as a candidate gene for T2D and MetS and 3) studied the role of 28 genes, earlier identified in candidate gene- and genome wide association studies (GWAS) as susceptibility genes for T2D, in MetS. In study …
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Bayesian variable selection for linear mixed models when p is much larger than n with applications in genome wide association studies
Genome-wide association studies (GWAS) seek to identify single nucleotide polymorphisms (SNP) causing phenotypic responses in individuals. Commonly, GWAS analyses are done by using single marker association testing (SMA) which investigates the effect of a single SNP at a time and selects a …
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Assessing the impact of genotype calling methodologies on genome wide association studies in polyploids and evaluating key yield traits of Miscanthus sacchariflorus
Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2025-05-01
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