Literature DB >> 34358225

Size matters: Large copy number losses in Hirschsprung disease patients reveal genes involved in enteric nervous system development.

Laura E Kuil1, Katherine C MacKenzie1, Clara S Tang2,3, Jonathan D Windster1,4, Thuy Linh Le5, Anwarul Karim2, Bianca M de Graaf1, Robert van der Helm1, Yolande van Bever1, Cornelius E J Sloots4, Conny Meeussen4, Dick Tibboel4, Annelies de Klein1, René M H Wijnen4, Jeanne Amiel5, Stanislas Lyonnet5, Maria-Mercè Garcia-Barcelo2, Paul K H Tam2,3, Maria M Alves1, Alice S Brooks1, Robert M W Hofstra1,6, Erwin Brosens1.   

Abstract

Hirschsprung disease (HSCR) is a complex genetic disease characterized by absence of ganglia in the intestine. HSCR etiology can be explained by a unique combination of genetic alterations: rare coding variants, predisposing haplotypes and Copy Number Variation (CNV). Approximately 18% of patients have additional anatomical malformations or neurological symptoms (HSCR-AAM). Pinpointing the responsible culprits within a CNV is challenging as often many genes are affected. Therefore, we selected candidate genes based on gene enrichment strategies using mouse enteric nervous system transcriptomes and constraint metrics. Next, we used a zebrafish model to investigate whether loss of these genes affects enteric neuron development in vivo. This study included three groups of patients, two groups without coding variants in disease associated genes: HSCR-AAM and HSCR patients without associated anomalies (HSCR-isolated). The third group consisted of all HSCR patients in which a confirmed pathogenic rare coding variant was identified. We compared these patient groups to unaffected controls. Predisposing haplotypes were determined, confirming that every HSCR subgroup had increased contributions of predisposing haplotypes, but their contribution was highest in isolated HSCR patients without RET coding variants. CNV profiling proved that specifically HSCR-AAM patients had larger Copy Number (CN) losses. Gene enrichment strategies using mouse enteric nervous system transcriptomes and constraint metrics were used to determine plausible candidate genes located within CN losses. Validation in zebrafish using CRISPR/Cas9 targeting confirmed the contribution of UFD1L, TBX2, SLC8A1, and MAPK8 to ENS development. In addition, we revealed epistasis between reduced Ret and Gnl1 expression and between reduced Ret and Tubb5 expression in vivo. Rare large CN losses-often de novo-contribute to HSCR in HSCR-AAM patients. We proved the involvement of six genes in enteric nervous system development and Hirschsprung disease.

Entities:  

Year:  2021        PMID: 34358225     DOI: 10.1371/journal.pgen.1009698

Source DB:  PubMed          Journal:  PLoS Genet        ISSN: 1553-7390            Impact factor:   5.917


  4 in total

1.  A 3-Gene Random Forest Model to Diagnose Non-obstructive Azoospermia Based on Transcription Factor-Related Henes.

Authors:  Ranran Zhou; Jingjing Liang; Qi Chen; Hu Tian; Cheng Yang; Cundong Liu
Journal:  Reprod Sci       Date:  2022-06-17       Impact factor: 3.060

2.  Genetic Background Influences Severity of Colonic Aganglionosis and Response to GDNF Enemas in the Holstein Mouse Model of Hirschsprung Disease.

Authors:  Rodolphe Soret; Nejia Lassoued; Grégoire Bonnamour; Guillaume Bernas; Aurélie Barbe; Mélanie Pelletier; Manon Aichi; Nicolas Pilon
Journal:  Int J Mol Sci       Date:  2021-12-05       Impact factor: 5.923

3.  The Somatic Mutation Paradigm in Congenital Malformations: Hirschsprung Disease as a Model.

Authors:  Katherine C MacKenzie; Rhiana Garritsen; Rajendra K Chauhan; Yunia Sribudiani; Bianca M de Graaf; Tim Rugenbrink; Rutger Brouwer; Wilfred F J van Ijcken; Ivo de Blaauw; Alice S Brooks; Cornelius E J Sloots; Conny J H M Meeuwsen; René M Wijnen; Donald F Newgreen; Alan J Burns; Robert M W Hofstra; Maria M Alves; Erwin Brosens
Journal:  Int J Mol Sci       Date:  2021-11-16       Impact factor: 5.923

4.  Complex Diagnostics of Non-Specific Intellectual Developmental Disorder.

Authors:  Olga Levchenko; Elena Dadali; Ludmila Bessonova; Nina Demina; Galina Rudenskaya; Galina Matyushchenko; Tatiana Markova; Inga Anisimova; Natalia Semenova; Olga Shchagina; Oxana Ryzhkova; Rena Zinchenko; Varvara Galkina; Victoria Voinova; Sabina Nagieva; Alexander Lavrov
Journal:  Int J Mol Sci       Date:  2022-07-14       Impact factor: 6.208

  4 in total

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