Search Results - "Genetic epidemiology"
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On-site sequencing of Sars-Cov-2 genomes identify two variant of concern clusters in Pahang, Malaysia
Published 2023“…It has been demonstrated that comprehending genetic epidemiology can be aided by a combination of public health expertise and through viral genomic sequencing using Oxford Nanopore Technologies (ONT). …”
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Evaluation of associative classification-based multifactor dimensionality reduction in the presence of noise
Published 2016“…The advancements in genetic epidemiology have focused more on understanding the associations and functional relationships among the genes. …”
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Improving strategy for discovering interacting genetic variants in association studies
Published 2016“…Revealing the underlying complex architecture of human diseases has received considerable attention since the exploration of genotype-phenotype relationships in genetic epidemiology. Identification of these relationships becomes more challenging due to multiple factors acting together or independently. …”
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Tuning hyperparameters for gene interaction models in genome-wide association studies
Published 2017“…© Springer International Publishing AG 2017. In genetic epidemiology, epistasis has been the subject of several researchers to understand the underlying causes of complex diseases. …”
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Detecting SNP Interactions in Balanced and Imbalanced Datasets using Associative Classification
Published 2014“…The genetic epidemiology behind the complex diseases are characterised by multiple factors acting together or independently. …”
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Statistical analysis of genomic data : a new model for class prediction and inference
Published 2011“…Simulation studies have found that the proposed methodology works well for finite size samples. • Empirical studies of the proposed models applied to the analysis of schizophrenia genomic data from the WA Genetic Epidemiology Resource (WAGER) have shown that A-TILoR model is very successful in reducing the type I error rate in schizophrenia classification without even using quantitative traits. …”
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A review on methods for detecting SNP interactions in high-dimensional genomic data
Published 2016“…The development of high throughput genotyping and next generation sequencing technologies enables genetic epidemiological analysis of large scale data. These advances have led to the identification of a number of single nucleotide polymorphisms (SNPs) responsible for disease susceptibility. …”
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A multifactor dimensionality reduction based associative classification for detecting SNP interactions
Published 2015“…In this paper, a multifactor dimensionality reduction based associative classifier is proposed for detecting SNP interactions in genetic epidemiological studies. The approach is evaluated for one to six loci models by varying heritability, minor allele frequency, case-control ratios and sample size. …”
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Rule-based analysis for detecting epistasis using associative classification mining
Published 2015“…The development of high-throughput genotyping and next-generation sequencing technologies enables large-scale data for genetic epidemiological analysis. These advances led to the identification of a number of single nucleotide polymorphisms (SNPs) associated with complex diseases. …”
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The Western Australian Family Connections Genealogical Project: Detection of familial occurrences of single gene and chromosomal disorders
Published 2014“…This study demonstrates the utility of record linkage genealogies to identify kindred with genetic disorders, offering a rich resource of information for focused genetic epidemiological research.…”
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Chemerin, a novel adipokine in the regulation of angiogenesis
Published 2010“…Design, Setting, Patients, and Intervention: Plasma chemerin levels were measured in subjects from the San Antonio Family Heart Study, a large family-based genetic epidemiological study including 1354 Mexican-American individuals. …”
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Constrained multivariate association with longitudinal phenotypes
Published 2016“…Background: The incorporation of longitudinal data into genetic epidemiological studies has the potential to provide valuable information regarding the effect of time on complex disease etiology. …”
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Occupational exposure to electromagnetic fields, dietary and genetics factors and the risk of brain tumours: a UK case-control study
Published 2010“…The evolution of genetic epidemiological methods we face in the last years increase the amount of information for genetics and investigators need to focus on the data management and analysis of these outputs. …”
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