Whole Genome Sequencing Reveals a RET Enhancer Risk Haplotype Associated with Hirschsprung Disease in Mowat Wilson Syndrome
Collins, S.; Bah, I.; Pysar, R.; Mowat, D.; Turner, T. N.; Chatterjee, S.
Show abstract
Mowat Wilson syndrome (MWS) is a rare neurodevelopmental disorder caused by mostly heterozygous loss-of-function variants in ZEB2. Affected individuals show considerable wide variability in clinical presentation. In particular, Hirschsprung disease (HSCR) occurs in only a subset of patients, suggesting that additional genetic factors may modify disease penetrance. To investigate this possibility, we performed whole-genome sequencing of two parent-child trios in which the probands carried pathogenic de novo ZEB2 variants but differed in enteric phenotype: one individual with MWS and long-segment HSCR and another with MWS without HSCR. In both probands, the ZEB2 variants represent the primary causative genomic diagnosis, and no additional rare coding variants or excess copy-number burden provided a clear alternative explanation for HSCR. Phasing of a previously defined 10 single nucleotide polymorphisms(SNPs) RET enhancer haplotype revealed inheritance of a high-risk haplotype in the proband with HSCR, whereas the proband without HSCR carried only low-risk haplotypes on both chromosomes. To place these findings in a developmental context, we analysed single-cell transcriptomic data from the developing human fetal gut and neocortex. ZEB2 and RET show overlapping expression in enteric neural crest progenitors and neuroblasts but minimal overlap in the developing neocortex, indicating that reduced RET dosage is likely to have tissue-specific effects in the enteric nervous system. Together, these results support a model in which common regulatory variation at RET modifies HSCR penetrance in the setting of ZEB2 haploinsufficiency. More broadly, our findings illustrate how whole-genome sequencing can reveal regulatory modifiers that contribute to variable expressivity in ostensibly monogenic disorders
Matching journals
The top 4 journals account for 50% of the predicted probability mass.