Integration of genetic data and genomic annotation in the analysis of genome wide association studies

Integration of genetic data and genomic annotation in the analysis of genome wide association studies

<p>This thesis explored the utility of genome wide association studies (GWAS) and meta-analysis to identify variants associated with serum pollutants levels and metabolic phenotypes. The secondary aims of these thesis were to annotate these variants with regulatory information from databases a...

Bibliografiset tiedot
Päätekijä:	Ng, E
Muut tekijät:	Morris, A
Aineistotyyppi:	Opinnäyte
Julkaistu:	2017

Samankaltaisia teoksia

Manhattan++: displaying genome-wide association summary statistics with multiple annotation layers
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The power of genetic diversity in genome-wide association studies of lipids
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Design and analysis of genome-wide association studies
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Julkaistu: (2008)

Genome-wide association studies in mice.
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Genome-wide association studies in Plasmodiumspecies
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Julkaistu: (2010)

Genome-wide association study to identify genetic determinants of severe asthma
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Julkaistu: (2012)

Genome-wide association study to identify genetic determinants of severe asthma.
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Julkaistu: (2012)

New models of collaboration in genome-wide association studies: the Genetic Association Information Network.
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Julkaistu: (2007)

Computational genomics : mapping, comparison, and annotation of genomes
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Julkaistu: (2005)

Deciphering genetic associations using genome-wide epigenomics approaches
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Genetic basis of lacunar stroke: a pooled analysis of individual patient data and genome-wide association studies
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Association of common genetic variants with brain microbleeds: a genome-wide association study
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Julkaistu: (2020)

Genome-wide association study identifies 48 common genetic variants associated with handedness
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Julkaistu: (2020)

Genome-wide association studies: potential next steps on a genetic journey.
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Julkaistu: (2008)

Genotype imputation for genome-wide association studies.
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Genome-wide genetic association of complex traits in heterogeneous stock mice.
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Julkaistu: (2006)

GRANVIL: Rare Variant Analysis of Genome-Wide Association Studies
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Julkaistu: (2010)

Meta-analysis of sex-specific genome-wide association studies.
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Julkaistu: (2010)

Genome annotation and selectional analysis of viral evolution
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Julkaistu: (2008)

Large-scale integrated genome-wide RNA sequencing, miRNA array, and genomic analyses to unravel the functionality of genome-wide association results in endometriosis
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Julkaistu: (2017)

Ethical data release in genome-wide association studies in developing countries
Tekijä: Parker, M, et al.
Julkaistu: (2009)

Ethical data release in genome-wide association studies in developing countries.
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Genome-wide association studies in type 2 diabetes.
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Heritability in the genome-wide association era
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Genome-wide genetic screening in the mammalian CNS
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Genome-wide association mapping in bacteria?
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Julkaistu: (2006)

Beyond endometriosis genome-wide association study: from genomics to phenomics to the patient
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Julkaistu: (2016)

Fast and powerful genome wide association of dense genetic data with high dimensional imaging phenotypes
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Julkaistu: (2018)

Genome-wide association study of peripheral artery disease
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Julkaistu: (2021)

GWAMA: software for genome-wide association meta-analysis
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Julkaistu: (2010)

Methodological challenges of genome-wide association analysis in Africa.
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Common genetic determinants of vitamin D insufficiency: a genome-wide association study.
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Julkaistu: (2010)

Genome-wide association of statin-induced myopathy
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Julkaistu: (2009)

Genome-wide association study of dermatomyositis reveals genetic overlap with other autoimmune disorders.
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Julkaistu: (2013)

Genetic diagnosis of developmental disorders in the DDD study: a scalable analysis of genome-wide research data.
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Julkaistu: (2015)

Improve the computation efficiency in epigenome-wide and genome-wide association studies
Tekijä: Tran, Nhat Sang
Julkaistu: (2015)

Genetic determinants of risk in pulmonary arterial hypertension: international genome-wide association studies and meta-analysis
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Julkaistu: (2018)

GARFIELD classifies disease-relevant genomic features through integration of functional annotations with association signals
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Julkaistu: (2019)

Hypothesis-driven genome-wide association studies provide novel insights into genetics of reading disabilities
Tekijä: Price, KM, et al.
Julkaistu: (2022)

Large-scale genome-wide analysis identifies genetic variants associated with cardiac structure and function
Tekijä: Wild, PS, et al.
Julkaistu: (2017)