Single-cell RNA-seq relates GWAS variants to disease risk

While genome-wide association studies (GWAS) have identified thousands of variants associated with disease, elucidating the mechanisms through which the variants confer disease risk and the cell types where they are relevant remains a challenge. A method called sc-linker, published in Nature Genetics, integrates single-cell RNA sequencing data from multiple tissues, epigenomics, and GWAS summary statistics to identify disease-critical cell types and cellular processes for 60 diseases and complex traits.

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