Ontology highlight
ABSTRACT:
SUBMITTER: Prokop JW
PROVIDER: S-EPMC5967772 | biostudies-literature | 2018 May
REPOSITORIES: biostudies-literature
Prokop Jeremy W JW Yeo Nan Cher NC Ottmann Christian C Chhetri Surya B SB Florus Kacie L KL Ross Emily J EJ Sosonkina Nadiya N Link Brian A BA Freedman Barry I BI Coppola Candice J CJ McDermott-Roe Chris C Leysen Seppe S Milroy Lech-Gustav LG Meijer Femke A FA Geurts Aron M AM Rauscher Frank J FJ Ramaker Ryne R Flister Michael J MJ Jacob Howard J HJ Mendenhall Eric M EM Lazar Jozef J
Journal of the American Society of Nephrology : JASN 20180223 5
<b>Background</b> Interpreting genetic variants is one of the greatest challenges impeding analysis of rapidly increasing volumes of genomic data from patients. For example, <i>SHROOM3</i> is an associated risk gene for CKD, yet causative mechanism(s) of <i>SHROOM3</i> allele(s) are unknown.<b>Methods</b> We used our analytic pipeline that integrates genetic, computational, biochemical, CRISPR/Cas9 editing, molecular, and physiologic data to characterize coding and noncoding variants to study th ...[more]