Congenital hydrocephalus: new Mendelian mutations and evidence for oligogenic inheritance.

Cilia Congenital hydrocephalus Exome sequencing Mutation burden test Oligogenic inheritance

Journal

Human genomics
ISSN: 1479-7364
Titre abrégé: Hum Genomics
Pays: England
ID NLM: 101202210

Informations de publication

Date de publication:
02 03 2023
Historique:
received: 10 01 2023
accepted: 22 02 2023
entrez: 1 3 2023
pubmed: 2 3 2023
medline: 4 3 2023
Statut: epublish

Résumé

Congenital hydrocephalus is characterized by ventriculomegaly, defined as a dilatation of cerebral ventricles, and thought to be due to impaired cerebrospinal fluid (CSF) homeostasis. Primary congenital hydrocephalus is a subset of cases with prenatal onset and absence of another primary cause, e.g., brain hemorrhage. Published series report a Mendelian cause in only a minority of cases. In this study, we analyzed exome data of PCH patients in search of novel causal genes and addressed the possibility of an underlying oligogenic mode of inheritance for PCH. We sequenced the exome in 28 unrelated probands with PCH, 12 of whom from families with at least two affected siblings and 9 of whom consanguineous, thereby increasing the contribution of genetic causes. Patient exome data were first analyzed for rare (MAF < 0.005) transmitted or de novo variants. Population stratification of unrelated PCH patients and controls was determined by principle component analysis, and outliers identified using Mahalanobis distance 5% as cutoff. Patient and control exome data for genes biologically related to cilia (SYScilia database) were analyzed by mutation burden test. In 18% of probands, we identify a causal (pathogenic or likely pathogenic) variant of a known hydrocephalus gene, including genes for postnatal, syndromic hydrocephalus, not previously reported in isolated PCH. In a further 11%, we identify mutations in novel candidate genes. Through mutation burden tests, we demonstrate a significant burden of genetic variants in genes coding for proteins of the primary cilium in PCH patients compared to controls. Our study confirms the low contribution of Mendelian mutations in PCH and reports PCH as a phenotypic presentation of some known genes known for syndromic, postnatal hydrocephalus. Furthermore, this study identifies novel Mendelian candidate genes, and provides evidence for oligogenic inheritance implicating primary cilia in PCH.

Sections du résumé

BACKGROUND
Congenital hydrocephalus is characterized by ventriculomegaly, defined as a dilatation of cerebral ventricles, and thought to be due to impaired cerebrospinal fluid (CSF) homeostasis. Primary congenital hydrocephalus is a subset of cases with prenatal onset and absence of another primary cause, e.g., brain hemorrhage. Published series report a Mendelian cause in only a minority of cases. In this study, we analyzed exome data of PCH patients in search of novel causal genes and addressed the possibility of an underlying oligogenic mode of inheritance for PCH.
MATERIALS AND METHODS
We sequenced the exome in 28 unrelated probands with PCH, 12 of whom from families with at least two affected siblings and 9 of whom consanguineous, thereby increasing the contribution of genetic causes. Patient exome data were first analyzed for rare (MAF < 0.005) transmitted or de novo variants. Population stratification of unrelated PCH patients and controls was determined by principle component analysis, and outliers identified using Mahalanobis distance 5% as cutoff. Patient and control exome data for genes biologically related to cilia (SYScilia database) were analyzed by mutation burden test.
RESULTS
In 18% of probands, we identify a causal (pathogenic or likely pathogenic) variant of a known hydrocephalus gene, including genes for postnatal, syndromic hydrocephalus, not previously reported in isolated PCH. In a further 11%, we identify mutations in novel candidate genes. Through mutation burden tests, we demonstrate a significant burden of genetic variants in genes coding for proteins of the primary cilium in PCH patients compared to controls.
CONCLUSION
Our study confirms the low contribution of Mendelian mutations in PCH and reports PCH as a phenotypic presentation of some known genes known for syndromic, postnatal hydrocephalus. Furthermore, this study identifies novel Mendelian candidate genes, and provides evidence for oligogenic inheritance implicating primary cilia in PCH.

Identifiants

pubmed: 36859317
doi: 10.1186/s40246-023-00464-w
pii: 10.1186/s40246-023-00464-w
pmc: PMC9979489
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

16

Informations de copyright

© 2023. The Author(s).

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Auteurs

Valerie Jacquemin (V)

Institut de Recherche Interdisciplinaire en Biologie Humaine et Moléculaire, Université Libre de Bruxelles, Brussels, Belgium. jacqvalli@yahoo.com.

Nassim Versbraegen (N)

Interuniversity Institute of Bioinformatics in Brussels, Université Libre de Bruxelles-Vrije Universiteit Brussel, Brussels, Belgium.
Machine Learning Group, Université Libre de Bruxelles, Brussels, Belgium.

Sarah Duerinckx (S)

Service de Neuropédiatrie, Hôpital Universitaire de Bruxelles and CUB Hôpital Erasme and Université Libre de Bruxelles, Brussels, Belgium.

Annick Massart (A)

Institut de Recherche Interdisciplinaire en Biologie Humaine et Moléculaire, Université Libre de Bruxelles, Brussels, Belgium.
Department of Nephrology, University Hospital of Antwerp, Edegem, Belgium.

Julie Soblet (J)

Human Genetics Department, CUB Hôpital Erasme, Brussels, Belgium.

Camille Perazzolo (C)

Institut de Recherche Interdisciplinaire en Biologie Humaine et Moléculaire, Université Libre de Bruxelles, Brussels, Belgium.

Nicolas Deconinck (N)

Hopital Universitaire des Enfants Reine Fabiola and Hopital Universitaire de Bruxelles and Université Libre de Bruxelles, Brussels, Belgium.

Elise Brischoux-Boucher (E)

Centre de génétique humaine - CHU de Besançon, Université de Bourgogne-Franche-Comté, Besançon, France.

Anne De Leener (A)

Centre de Génétique Humaine, Cliniques Universitaires Saint-Luc et Université Catholique de Louvain, Brussels, Belgium.

Nicole Revencu (N)

Centre de Génétique Humaine, Cliniques Universitaires Saint-Luc et Université Catholique de Louvain, Brussels, Belgium.

Sandra Janssens (S)

Center for Medical Genetics, Ghent University Hospital, Ghent, Belgium.

Stèphanie Moorgat (S)

Centre de Génétique Humaine, Institut de Pathologie et de Génétique, Gosselies, Belgium.

Bettina Blaumeiser (B)

Center of Medical Genetics, Antwerp University and Antwerp University Hospital, Edegem, Belgium.

Kristiina Avela (K)

Department of Clinical Genetics, Helsinki University Hospital, Helsinki, Finland.

Renaud Touraine (R)

Génétique Clinique Chromosomique et Moléculaire, CHU de Saint-Etienne, St-Priest-en-Jarez, France.

Imad Abou Jaoude (I)

Department of Gynecology and Obstetrics, Abou Jaoude Hospital, Jal El Dib, Lebanon.

Kathelijn Keymolen (K)

Center for Medical Genetics, UZ Brussels, Jette, Belgium.

Pascale Saugier-Veber (P)

Department of Genetics and Reference Center for Developmental Disorders, Université Rouen Normandie, Inserm U1245 and CHU Rouen, Rouen, France.

Tom Lenaerts (T)

Interuniversity Institute of Bioinformatics in Brussels, Université Libre de Bruxelles-Vrije Universiteit Brussel, Brussels, Belgium.
Machine Learning Group, Université Libre de Bruxelles, Brussels, Belgium.
Artificial Intelligence Lab, Vrije Universiteit Brussel, Brussels, Belgium.

Marc Abramowicz (M)

Institut de Recherche Interdisciplinaire en Biologie Humaine et Moléculaire, Université Libre de Bruxelles, Brussels, Belgium. marc.abramowicz@unige.ch.
Department of Genetic Medicine and Development, University of Geneva, Geneva, Switzerland. marc.abramowicz@unige.ch.

Isabelle Pirson (I)

Institut de Recherche Interdisciplinaire en Biologie Humaine et Moléculaire, Université Libre de Bruxelles, Brussels, Belgium.

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