Genome-wide association studies: theoretical and practical concerns

By William Y S Wang, B. Barratt, David Clayton, John A. Todd. Nature reviews genetics, 2005

1,216 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/6122f1e84c0dab96dc6b31659c29524f8b6f1e66

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Citations in the corpus

SNPHarvester: a filtering-based approach for detecting epistatic interactions in genome-wide association studies (2009, methodology): “Recently, some computational methods have been proposed to address this issue [see Liang and Kelemen (2008) and Musani et al .”
The genetics and immunopathogenesis of inflammatory bowel disease (2008, background): “These analyses are based on the assumption that the causal variant responsible for the association will be well assayed by the genotyped marker”
Genome-Wide Association Scan Shows Genetic Variants in the FTO Gene Are Associated with Obesity-Related Traits (2007, background): “We have taken advantage of recent advances in genotyping technology that enable detailed assessment of entire genomes [14,15].”
Mutation severity spectrum of rare alleles in the human genome is predictive of disease type (2019, background): “Genome-wide association studies can pinpoint the genetic loci, mostly marked by common SNVs, with statistically significant disease or phenotype associations [14, 15].”
Genome-wide association study identifies new susceptibility loci for Crohn disease and implicates autophagy in disease pathogenesis (2007, background): “Undoubtedly, there are limitations to the GWA approach, so complementary strategies for gene discovery will continue to be necessar”
Genotype Imputation (2009, background): “More recently, technological advances have made genome-wide association studies (GWAS) possible (39, 67, 109).”
A Bayesian measure of the probability of false discovery in genetic epidemiology studies. (2007, methodology): “Hence, the maximumˆ exp (rv) likelihood estimator (MLE) undergoes shrinkage toward ˆ exp (rv) the prior mean of 1, with the amount of shrinkage given by equation (6).”
Preventing or reducing late side effects of radiation therapy: radiobiology meets molecular pathology (2006, background): “There are two broad classes of approaches to mapping genes associated with a specific phenotype: genome-wide and candidate-gene studie”
Predicting Quantitative Traits With Regression Models for Dense Molecular Markers and Pedigree (2009, background): “GENOMEWIDE dense marker maps are now avail-able for many species in plants and animals (e.g., WANG et al. 2005).”
Detecting gene-gene interactions using a permutation-based random forest method (2016, background): “Genome-wide association studies (GWASs) have revolutionized the strategy for identification effects of single nucleotide polymorphisms (SNPs) on disease susceptibility and detecting genetic architectures underlying complex diseases from large-scale genotyping data, such as type II diabetes, obesity ”