From genome-wide associations to candidate causal variants by statistical fine-mapping

From genome-wide associations to candidate causal variants by statistical fine-mapping

From genome-wide associations to candidate causal variants by statistical fine-mapping, Published online: 29 May 2018; doi:10.1038/s41576-018-0016-z

Fine-mapping is the process by which a trait-associated region from a genome-wide association study (GWAS) is analysed to identify the particular genetic variants that are likely to causally influence the examined trait. This Review discusses the diverse statistical approaches to fine-mapping and their foundations, strengths and limitations, including integration of trans-ethnic human population data and functional annotations.

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