VNtyper enables accurate alignment-free genotyping of MUC1 coding VNTR using short-read sequencing data in autosomal dominant tubulointerstitial kidney disease

VNtyper利用短读测序数据,能够对常染色体显性遗传性肾小管间质性肾病中的MUC1编码VNTR进行精确的无比对基因分型。

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作者:Hassan Saei ,Vincent Morinière ,Laurence Heidet ,Olivier Gribouval ,Said Lebbah ,Frederic Tores ,Manon Mautret-Godefroy ,Bertrand Knebelmann ,Stéphane Burtey ,Vincent Vuiblet ,Corinne Antignac ,Patrick Nitschké ,Guillaume Dorval

Abstract

The human genome comprises approximately 3% of tandem repeats with variable length (VNTR), a few of which have been linked to human rare diseases. Autosomal dominant tubulointerstitial kidney disease-MUC1 (ADTKD-MUC1) is caused by specific frameshift variants in the coding VNTR of the MUC1 gene. Calling variants from VNTR using short-read sequencing (SRS) is challenging due to poor read mappability. We developed a computational pipeline, VNtyper, for reliable detection of MUC1 VNTR pathogenic variants and demonstrated its clinical utility in two distinct cohorts: (1) a historical cohort including 108 families with ADTKD and (2) a replication naive cohort comprising 2,910 patients previously tested on a panel of genes involved in monogenic renal diseases. In the historical cohort all cases known to carry pathogenic MUC1 variants were re-identified, and a new 25bp-frameshift insertion in an additional mislaid family was detected. In the replication cohort, we discovered and validated 30 new patients. Keywords: Genetics; Genomics; Genotyping; Techniques in genetics.

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