The largest GWAS for kidney function so far provided the starting point for integrated multi-stage annotation of genetic loci. Whole kidney and single-cell epigenomic information is crucial for translating GWAS information to the identification of causal genes and pathogenetic (and potentially targetable) cellular and molecular mechanisms of kidney disease.
ЧитатьThe use of association studies to identify candidate genes for complex biological traits in plants has been challenging due to a reliance on single reference genomes, leading to missing heritability. Graphical pangenomes and the identification of causal variants help overcome this and provide an important advance for crop breeding.
ЧитатьSingle-cell ATAC-seq and RNA-seq profiling traces the transformation of healthy colon to precancerous adenomas to colorectal cancer (CRC). A large proportion of polyp and CRC cells show a stem-like phenotype.
ЧитатьGenome-wide analyses identify hundreds of loci associated with kidney function. Integrated analyses of expression, methylation and single-cell open chromatin and expression data derived from human kidney samples prioritize genes and mechanisms underlying renal disease.
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