<p>To identify rare variants of diabetic kidney disease (DKD), we conducted a whole-exome sequencing (WES) study. This study employed an extreme case–control design, which included a selection of the 593 most rapidly progressing DKD cases from the <a href="https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bihttps://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000524.v1.p1">Chronic Renal Insufficiency Cohort (CRIC) Study (phs000524)</a>. In this two-stage WES study of DKD, participants with DKD from the CRIC were compared with control groups of participants without DKD from another cohort in the first stage. Suggestive signals identified in the first stage were confirmed in the second stage analysis among a diverse population with existing whole-genome sequencing (WGS) data. Generalized linear mixed models, which accounted for genetic relatedness and adjusted for age, sex and ancestry, were used to test associations between single variants and DKD. Gene-based aggregate rare variant analyses were conducted using an optimized sequence kernel association test implemented within our mixed model framework. As a result, we identified four novel gene loci, <a href="https://www.ncbi.nlm.nih.gov/gene/?term=129563">DIS3L2</a>, <a href="https://www.ncbi.nlm.nih.gov/gene/?term=3854">KRT6B</a>, <a href="https://www.ncbi.nlm.nih.gov/gene/?term=64167">ERAP2</a> and <a href="https://www.ncbi.nlm.nih.gov/gene/?term=9520">NPEPPS</a>, that achieved exome-wide significance and may play an important role in the DKD disease course. This large WES study provides novel insights into DKD's molecular mechanisms.</p>

Whole-Exome Sequencing Study of Diabetic Nephropathy

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