Design and analysis of genome-wide association studies

Design and analysis of genome-wide association studies

Despite many years of effort, linkage and candidate gene association studies have yielded disappointingly few risk loci for common human diseases such as diabetes, auto-immune disorders and cancers. Large sample sizes, increased understanding of the patterns of correlation in genetic variation, and...

Bibliografski detalji
Glavni autor:	Barrett, J
Daljnji autori:	Donnelly, P
Format:	Disertacija
Jezik:	English
Izdano:	2008
Teme:	Mathematical genetics and bioinformatics (statistics) Genetics (life sciences)

Slični predmeti

Bayesian and frequentist methods and analyses of genome-wide association studies
od: Vukcevic, D
Izdano: (2009)

Gene x gene interactions in genome wide association studies
od: Bhattacharya, K
Izdano: (2014)

An integrated genomic approach for the identification and analysis of single nucleotide polymorphisms that affect cancer in humans
od: Repapi, E
Izdano: (2013)

Genome annotation and selectional analysis of viral evolution
od: de Groot, S
Izdano: (2008)

Statistical methods for the analysis of genetic association studies
od: Su, Z
Izdano: (2008)

Extensions of the case-control design in genome-wide association studies
od: Loizides, C
Izdano: (2012)

Large-scale genetic analysis of quantitative traits
od: Randall, J, i dr.
Izdano: (2012)

Quantifying the underestimation of relative risks from genome-wide association studies
od: Spencer, C, i dr.
Izdano: (2011)

Bayesian methods for fine mapping in genetic association studies
od: Frangou, E
Izdano: (2013)

Application of the Neutral Indel Model to genome sequences for diverse metazoans
od: Meader, S
Izdano: (2010)

Methods for large-scale genome-wide association studies
od: Kalantzis, G
Izdano: (2022)

The estimation of recombination rates from population genetic data
od: Auton, A
Izdano: (2007)

Statistical challenges in the detection of mutation and variation using high throughput sequencing
od: Pfeifer, S
Izdano: (2012)

Imputation aided analysis of the association between autoimmune diseases and the MHC
od: Moutsianas, L
Izdano: (2011)

Pan-genomic analysis of clonal bacterial samples using nanopore reads and genome graphs
od: Colquhoun, R
Izdano: (2019)

Genome-wide DNaseI hypersensitive sites profiles in laboratory mouse strains by DNase-seq
od: Hosseini, M
Izdano: (2013)

Comparative analysis of derived mutations across human populations.
od: Feder, A, i dr.
Izdano: (2013)

A method for the identification of biological pathways
od: Honti, F
Izdano: (2014)

GAT: a simulation framework for testing the association of genomic intervals
od: Heger, A, i dr.
Izdano: (2013)

Model selection strategies in genome-wide association studies
od: Keildson, S
Izdano: (2011)

Using phylogeny to improve genome-wide distant homology recognition
od: Abeln, S, i dr.
Izdano: (2007)

Statistical methods for mapping complex traits
od: Allchin, L
Izdano: (2014)

The detection, structure and uses of extended haplotype identity in population genetic data
od: Xifara, DK
Izdano: (2014)

LD-based SNP and genotype calling from next-generation sequencing reads.
od: Menelaou, A
Izdano: (2012)

Probabilistic models of RNA secondary structure
od: Anderson, JWJ
Izdano: (2013)

Statistical methods for genotype microarray data on large cohorts of individuals
od: O'Connell, JM
Izdano: (2014)

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

Whole-genome analysis of the transcriptional network underlying male sexual behaviour in Drosophila melanogaster
od: Ashley, E, i dr.
Izdano: (2012)

On genetic variants underlying common disease
od: Hechter, E
Izdano: (2011)

Genetic and genomic analysis of Arabidopsis thaliana with low-coverage next-generation sequencing data
od: Imprialou, M
Izdano: (2015)

NucleoFinder: a statistical approach for the detection of nucleosome positions
od: Becker, J, i dr.
Izdano: (2013)

Inferring the fine-scale structure and evolution of recombination from high-throughput genome sequencing
od: Venn, O
Izdano: (2013)

Multilocus sequence analysis of the pathogen Neisseria meningitidis
od: Wilson, D
Izdano: (2005)

Bioinformatics for geneticists : a bioinformatics primer for the analysis of genetic data /
od: Barnes, Michael R.
Izdano: (2007)

Scalable approaches to inference and analysis of genome-wide genealogies
od: Gunnarsson, ÁF
Izdano: (2023)

Genome annotation errors and how to fix them
od: Dunne, M
Izdano: (2018)

Identifying causative elements within structural variants associated with developmental disorders
od: Boulding, H
Izdano: (2013)

Statistical models for single-cell data
od: Pierson, E
Izdano: (2015)

Genome-wide analysis of selection in insects, mammals and fungi
od: Ridout, KE
Izdano: (2012)

Statistical analysis of natural selection in RNA virus populations
od: Bhatt, S
Izdano: (2010)