Gene x gene interactions in genome wide association studies

Gene x gene interactions in genome wide association studies

<p>Genome wide association studies (GWAS) have revolutionized our approach to mapping genetic determinants of complex human diseases. However, even with success from recent studies, we have typically been able to explain only a fraction of the trait heritability. GWAS are typically analysed by...

Disgrifiad llawn

Manylion Llyfryddiaeth
Prif Awdur:	Bhattacharya, K
Awduron Eraill:	Morris, A
Fformat:	Traethawd Ymchwil
Iaith:	English
Cyhoeddwyd:	2014
Pynciau:	Statistics (see also social sciences) Bioinformatics (technology) Bioinformatics (life sciences) Mathematical genetics and bioinformatics (statistics) Mathematical biology Genetics (life sciences) Mathematics

Eitemau Tebyg

Extensions of the case-control design in genome-wide association studies
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Using phylogeny to improve genome-wide distant homology recognition
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Quantifying the underestimation of relative risks from genome-wide association studies
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Protein protein interactions, evolutionary rate, abundance and age
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Modelling sequential protein folding under kinetic control
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A statistical approach using network structure in the prediction of protein characteristics
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Multilocus approaches to the detection of disease susceptibility regions: methods and applications
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Statistical HLA type imputation from large and heterogeneous datasets
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Rahnuma: hypergraph-based tool for metabolic pathway prediction and network comparison
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Cyhoeddwyd: (2009)

Increasing statistical power and generalizability in genomics microarray research
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HLA*IMP - an integrated framework for imputing classical HLA alleles from SNP genotypes
gan: Dilthey, A, et al.
Cyhoeddwyd: (2011)

Bayesian methods for multivariate phenotype analysis in genome-wide association studies
gan: Iotchkova, V
Cyhoeddwyd: (2013)

Design and analysis of genome-wide association studies
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Cyhoeddwyd: (2008)

An integrated genomic approach for the identification and analysis of single nucleotide polymorphisms that affect cancer in humans
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Bayesian methods for estimating human ancestry using whole genome SNP data
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The estimation of recombination rates from population genetic data
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Statistical challenges in the detection of mutation and variation using high throughput sequencing
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Statistical and Computational Methodology for the Analysis of Forensic DNA Mixtures with Artefacts
gan: Graversen, T
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Exploring the fold space preferences of ancient and newborn protein superfamilies
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Application of the Neutral Indel Model to genome sequences for diverse metazoans
gan: Meader, S
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Protein loop structure prediction
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Large-scale genetic analysis of quantitative traits
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A method for the identification of biological pathways
gan: Honti, F
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On genetic variants underlying common disease
gan: Hechter, E
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Bayesian and frequentist methods and analyses of genome-wide association studies
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Selection along the HIV-1 genome through the CTL mediated immune response
gan: Palmer, D
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Imputation aided analysis of the association between autoimmune diseases and the MHC
gan: Moutsianas, L
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Inferring the fine-scale structure and evolution of recombination from high-throughput genome sequencing
gan: Venn, O
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The evolutionary dynamics of neutral networks: lessons from RNA
gan: Rendel, M
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Genome-wide DNaseI hypersensitive sites profiles in laboratory mouse strains by DNase-seq
gan: Hosseini, M
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Protein fold evolution on completed genomes: distinguishing between young and old folds
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Genome annotation and selectional analysis of viral evolution
gan: de Groot, S
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Fold recognition and alignment in the ‘twilight zone’
gan: Hill, J, et al.
Cyhoeddwyd: (2013)

Statistical methods for the analysis of genetic association studies
gan: Su, Z
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Bayesian methods for fine mapping in genetic association studies
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Genes contributing to variation in fear-related behaviour
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A robust clustering algorithm for identifying problematic samples in genome-wide association studies
gan: Bellenguez, C, et al.
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Statistical models for single-cell data
gan: Pierson, E
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A flexible and accurate genotype imputation method for the next generation of genome-wide association studies
gan: Howie, B, et al.
Cyhoeddwyd: (2009)