Genomic Prediction (original) (raw)

About this collection

Genomic PredictionThe landmark GENETICS paper by Meuwissen et al., in 2001 launched an entire field. In recognition of this, we developed a virtual series on Genomic Prediction in the April 2012 issues of GENETICS and G3: Genes|Genomes|Genetics, with the goal of stimulating discussion in the community, and providing data for the continuation of the discourse. This ongoing series continues to grow and provide discovery and conversation and we have reorganized the body of work into a browsable format. We hope that by enabling scientists to navigate among papers of interest in their field, that the conversation will continue. The April 2019 issue of GENETICS includes a compelling review with some thought provoking elements by Wray et al.

We remain excited about the topic of Genomic Prediction and invite articles that push the boundaries. These papers in GENETICS and G3 will continue to be published in journal issues and then organized into this virtual series, thus helping to highlight your important work in the area.

Sections

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Accuracy Improvement

Featuring a series of papers on accuracy improvement in genomic prediction.

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Animal

Featuring articles on cattle, fish, pigs, and more.

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Concepts, Benchmarks & Synthesis

Featuring papers on concepts, benchmarks, and synthesis in genomic prediction.

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Genetic Gain

Featuring papers on genetic gain.

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Genotype Prediction

Featuring sections on Haplotype/LD and Individual SNP.

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Higher Dimensions

Featuring papers on high throughput phenotyping, multiple populations, Multiple Traits/Multiple Environments, and omics data.

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Human Genetics

Featuring papers on genomic prediction in human genetics.

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Method

Featuring papers on Bayesian methods, machine learning, mixed model methods, and others.

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Plant

Featuring papers on Arabidopsis, Barley, Cotton, Rice, and more.

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Relatedness Matrix Estimation

Featuring a selection of papers on relatedness matrix estimation.

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Software

Featuring a selection of papers on software used in genomic prediction.