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Further evidence for complex inheritance of holoprosencephaly: Lessons learned from pre‐ and postnatal diagnostic testing in Germany
Author(s) -
Hinreiner Sophie,
Wieczorek Dagmar,
Mueller Dietmar,
Roedl Tanja,
Thiel Gundula,
Grasshoff Ute,
Chaoui Rabih,
Hehr Ute
Publication year - 2018
Publication title -
american journal of medical genetics part c: seminars in medical genetics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.419
H-Index - 101
eISSN - 1552-4876
pISSN - 1552-4868
DOI - 10.1002/ajmg.c.31625
Subject(s) - holoprosencephaly , multiplex ligation dependent probe amplification , sanger sequencing , genetic testing , genetics , biology , penetrance , genetic heterogeneity , dna sequencing , phenotype , gene , pregnancy , fetus , exon
Holoprosencephaly (HPE) has been defined as a distinct clinical entity with characteristic facial gestalt, which may—or may not—be associated with the true brain malformation observed postmortem in autopsy or in pre‐ or postnatal imaging. Affected families mainly show autosomal dominant inheritance with markedly reduced penetrance and extremely broad clinical variability even between mutation carriers within the same families. We here present advances in prenatal imaging over the last years, increasing the proportion of individuals with HPE identified prenatally including milder HPE forms and more frequently allowing to detect more severe forms already in early gestation. We report the results of diagnostic genetic testing of 344 unrelated patients for HPE at our lab in Germany since the year 2000, which currently with the application of next generation sequencing (NGS) panel sequencing identifies causal mutations for about 31% (12/38) of unrelated individuals with normal chromosomes when compared to about 15% (46/306) using conventional Sanger sequencing and Multiplex Ligation‐dependent Probe Amplification (MLPA). More comprehensive genetic testing by our in house NGS panel sequencing of 10 HPE associated genes (MiSeq™ and NextSeq™500, Illumina, Inc., San Diego, CA) not only allowed to include genes with smaller contribution to the phenotype, but may also unravel additional low frequency or more common genetic variants potentially contributing to the observed large intrafamiliar variability and may ultimately guide our understanding of the individual clinical manifestation of this complex developmental disorder.