FORM: Fetal Phenomics to unravel the correlation between phenotype and genotype in prenatal malformations
Research Project | 3 Project Members
Background: Birth defects affect 2-4% of all infants and are responsible for 21% of perinatal deaths. The demand to clarify diagnosis, etiology, prognosis, and recurrence risk is high, particularly in the presence of more than one fetal anomaly likely indicating a multiple congenital anomaly (malformation) syndrome. With the advance of prenatal high-resolution ultrasound, fetal anomalies are now detected increasingly early during pregnancy. Prenatal routine high-resolution chromosomal microarray analysis (CMA) and novel exome sequencing technologies allow a genetic diagnosis of causal copy number variants or pathogenic single nucleotide variants in up to additional 40-50 % of pregnancies after the exclusion of the frequent aneuploidies. About 40-60% of families, however, then still remain without definite diagnosis.
Routine exome sequencing (ES) reporting known pathogenic variants in established disease-causing genes in a pregnancy with fetal anomalies has now proven clinical utility. Whole genome sequencing (WGS) is at the verge of being implemented into clinical medicine. For most variants we identify, however, their functional, and therefore also clinical, significance is unknown and for most genes, including those critical for human development, their relation to human disease is not identified. Prenatal phenotypes may differ greatly from postnatal descriptions of the same genetic condition so that integrating prenatal phenotype information into a clinically meaningful interpretation of genomic variants identified is challenging. There is a significant gap between the wealth of data, we can technically generate, and their translation into clinical relevance and utility.
Objectives: The general goal of this project is to describe new genotype-phenotype correlations, through the integration of phenotypic and -omics data to prove causality of novel genomic variants. This will increase our knowledge on the pathogenesis of early human maldevelopment and ultimately improve the clinical utility of prenatal genome-wide sequencing as a one test for all technology in the near future. We explore if 1) using WGS in fetuses with multiple anomalies and no diagnosis after CMA and ES will add additional diagnoses through the identification of additional disease-causing variants, 2) the combined use of WGS with whole transcriptome sequencing on fetal tissues will allow to identify and prove causality of additional variants yet of unknown clinical significance and identify novel phenotype-genotype correlations as well as candidate variants and genes and 3) the the omics approach is potentially amenable for translation into clinical practice.
Methods: We select families in which at least one pregnancy had a fetus with fetal anomalies for which detailed phenotypic prenatal ultrasound and post mortem examination data from autopsy are available, and no diagnosis was achieved by routine CMA and ES testing. We focus on malformation patterns reminiscent of ciliopathy phenotypes, fetuses with two or more anomalies as well as fetuses with kidney and skeletal anomalies, as for those phenotypes the probability of an underlying monogenic disorder is particularly high. We will perform Trio-WGS of the affected fetus and parents, and transcriptome sequencing on fetal tissues and a control cohort of normal fetuses. We integrate the hierarchical models of phenotype and genotype ontologies for further gene identification.
Relevance: The clinical utility of the future routine application of prenatal genome wide sequencing will largely depend on our ability to increase our knowledge on the specific phenotype–genotype correlations during fetal (anomalous) development and to understand altered developmental pathways specific to fetal life. Novel approaches are needed integrating phenotypes, whole genome and transcriptome data to identify variant effects, novel candidate genes and developmental pathways. Such phenomics approaches ultimately will increase the diagnostic and prognostic value which should be a research priority for sequencing-based prenatal precision medicine.