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We're very proud to finally share our work tackling the best way to decode GWAS hits.

biorxiv.org/cgi/content/sh…
1) We use the fundemental regulatory building blocks, promoters, ehancers, and boundaries, to identify key cell types.
2) We then use a combination of pan-genomic and machine learning analyses (developed by the very talented @RonSchwessinger) to predict damaging variants.
3) We use high-resolution NG Capture C (invented by @jojdavies and @jrmmhughes) and statistical modelling to link SNPs to the genes they control.
4) Finally we use CRISPR/Cas9 to directly model the effects of SNP allele in vivo; finding both big and small changes in protein binding, chromatin accessibility, epigenetic modification, and gene expression.
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