Titlebook: Genome-Wide Association Studies; Davoud Torkamaneh,Fran?ois Belzile Book 2022 The Editor(s) (if applicable) and The Author(s), under exclu

Carcinogenesis

Genotyping Platforms for Genome-Wide Association Studies: Options and Practical Considerationsundreds of plants in a cost-effective manner. Currently there are multiple commercial platforms available that are being effectively used across crops. These platforms include genotyping arrays such as the Illumina Infinium arrays and the Applied Biosystems Axiom Arrays along with a variety of reseq

Indigence

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Parabola

Preparation and Curation of Multiyear, Multilocation, Multitrait Datasetss power is highly influenced by the accuracy of the phenotypic data. To obtain accurate phenotypic values, the phenotyping should be achieved through multienvironment trials (METs). In order to avoid any technical errors, the required time needs to be spent on exploring, understanding, curating and

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Preparation and Curation of Omics Data for Genome-Wide Association Studieso the analysis of classical agronomic traits, such as yield or flowering time, but also embracing the dissection of the genetic basis of molecular traits. Data generated by omics platforms, however, pose some technical and statistical challenges to the classical methodology and assumptions of an ass

Scintigraphy

Producing High-Quality Single Nucleotide Polymorphism Data for Genome-Wide Association Studies. SNPs can be used to identify genomic regions linked to traits such as disease in genome-wide association studies, to understand population structure and diversity, or to understand mechanisms of genome evolution. One of the first steps of any SNP-based workflow, following SNP discovery, is quality

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Data Integration, Imputation , and Meta-analysis for Genome-Wide Association Studieseir benefit and increase reference population sizes for genomic prediction and genome-wide association studies (GWAS). However, different studies use different genotyping techniques which requires a synchronizing step for the genotyped variants called “imputation” before combining them. Optimally, d

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Population Structure and Relatedness for Genome-Wide Association Studies of core collections for the conservation of genetic resources, uncovering the demographic history of the population under study, as well as for association studies. With the recent development of high-throughput genotyping technologies, several algorithms and methods have been developed and impleme