Modèle BioRender

The Principle of a Genome-wide Association Study (GWAS)

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Bailey Harrington

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BioRender Team

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Description: This template was adapted from the original submission. Edits were made to enhance scientific accuracy, optimal usability and/or to meet industry-leading design standards for science communication. A genome-wide association study (GWAS) is a hypothesis-free way of identifying genome regions associated with a trait, and requires data on genetics and a trait of interest for individuals from a population. GWAS consist of single-variant association tests for variants across the genome, but a significant association only means that a proxy for a causal variant was found. GWAS can confirm prior, and identify novel associations, and post-GWAS analyses can determine how the regions affect the trait.

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This template was adapted from the original submission. Edits were made to enhance scientific accuracy, optimal usability and/or to meet industry-leading design standards for science communication. A genome-wide association study (GWAS) is a hypothesis-free way of identifying genome regions associated with a trait, and requires data on genetics and a trait of interest for individuals from a population. GWAS consist of single-variant association tests for variants across the genome, but a significant association only means that a proxy for a causal variant was found. GWAS can confirm prior, and identify novel associations, and post-GWAS analyses can determine how the regions affect the trait.

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