Li, Xing

Hypoplastic Left Heart Syndrome (HLHS) is a complex multifactorial disease for which no definitive genetic causes have been found. Current genetic filtering strategies render lists of genes with unknown relevance in terms of pathogenesis. A complementary filter based on biological evidence would create a new approach to prioritize relevant candidate genes and mutations. In our study, 5 members of a nuclear family including a child with HLHS were evaluated using echocardiography and their genetic information was obtained through whole genome sequencing (WGS). Data filtering including rarity, functional impact and mode of inheritance was implemented, resulting in identification of 34 genes with recessive or de novo variants potentially involved in the pathogenesis of HLHS. Additionally, iPSC were derived from proband and parents and subjected to RNA-sequencing at the undifferentiated state and following spontaneous differentiation. Comparative transcriptional analyses identified genes differentially expressed in proband samples at each stage. These gene sets were used as an additional filter for the previously generated WGS data. This strategy revealed that out of 34 mutated genes originally identified, 10 displayed transcriptional differences in undifferentiated iPSC from the HLHS-affected individual while 16 out of 34 mutated genes showed significantly different expression levels in differentiated cells from proband. Furthermore, expression dynamics were studied during guided cardiac differentiation for the 9 genes fulfilling all applied criteria. Two genes not previously linked to HLHS, ELF4 and HSPG2 were found to behave significantly different in HLHS-iPSC when compared to control counterparts. In summary, filtering WGS data according to a new layer of transcriptional information that leverages iPSC plasticity allows prioritization of genes associated with HLHS in an in vitro model of disease.

Congenital heart diseases (CHDs), including hypoplastic left heart syndrome (HLHS), are genetically complex and poorly understood. Here, a multidisciplinary platform was established to functionally evaluate novel CHD gene candidates, based on whole-genome and iPSC RNA sequencing of a HLHS family-trio. Filtering for rare variants and altered expression in proband iPSCs prioritized 10 candidates. siRNA/RNAi-mediated knockdown in healthy human iPSC-derived cardiomyocytes (hiPSC-CM) and in developing Drosophila and zebrafish hearts revealed that LDL receptor-related protein LRP2 is required for cardiomyocyte proliferation and differentiation. Consistent with hypoplastic heart defects, compared to parents the proband’s iPSC-CMs exhibited reduced proliferation. Interestingly, rare, predicted-damaging LRP2 variants were enriched in a HLHS cohort; however, understanding their contribution to HLHS requires further investigation. Collectively, we have established a multi-species high-throughput platform to rapidly evaluate candidate genes and their interactions during heart development, which are crucial first steps toward deciphering oligogenic underpinnings of CHDs, including hypoplastic left hearts.