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. Author manuscript; available in PMC: 2015 Nov 28.
Published in final edited form as: Nature. 2015 Mar 25;521(7553):520–524. doi: 10.1038/nature14269

Global genetic analysis in mice unveils central role for cilia in congenital heart disease

You Li 1,8, Nikolai T Klena 1,8, George C Gabriel 1,8, Xiaoqin Liu 1,7, Andrew J Kim 1, Kristi Lemke 1, Yu Chen 1, Bishwanath Chatterjee 1, William Devine 2, Rama Rao Damerla 1, Chien-fu Chang 1, Hisato Yagi 1, Jovenal T San Agustin 5, Mohamed Thahir 3,4, Shane Anderton 1, Caroline Lawhead 1, Anita Vescovi 1, Herbert Pratt 5, Judy Morgan 6, Leslie Haynes 6, Cynthia L Smith 6, Janan T Eppig 6, Laura Reinholdt 6, Richard Francis 1, Linda Leatherbury 7, Madhavi K Ganapathiraju 3,4, Kimimasa Tobita 1, Gregory J Pazour 5, Cecilia W Lo 1,9
PMCID: PMC4617540  NIHMSID: NIHMS683130  PMID: 25807483

Abstract

Congenital heart disease (CHD) is the most prevalent birth defect, affecting nearly 1% of live births1, but the incidence of CHD is up to ten fold higher in human fetuses2,3. A genetic contribution is strongly suggested by the association of CHD with chromosome abnormalities and high recurrence risk4. Here we report findings from a recessive forward genetic screen in fetal mice, showing the cilium and cilia transduced cell signaling play important roles in the pathogenesis of CHD. The cilium is an evolutionarily conserved organelle projecting from the cell surface with essential roles in diverse cellular processes. Using echocardiography, we ultrasound scanned 87,355 chemically mutagenized C57BL/6J fetal mice and recovered 218 CHD mouse models. Whole exome sequencing identified 91 recessive CHD mutations in 61 genes. This included 34 cilia-related genes, 16 genes involved in cilia transduced cell signaling, and 10 genes regulating vesicular trafficking, a pathway important for ciliogenesis and cell signaling. Surprisingly, many CHD genes encoded interacting proteins, suggesting an interactome protein network may provide a larger genomic context for CHD pathogenesis. These findings provide novel insights into the potential Mendelian genetic contribution to CHD in the fetal population, a segment of the human population not well studied. We note pathways identified show overlap with CHD candidate genes recovered in CHD patients5, suggesting they may have relevance to the more complex genetics of CHD overall. These CHD mouse models and >8,000 incidental mutations are sperm archived, creating a rich public resource for human disease modeling.


Inbred C57BL/6J mice mutagenized with ethylnitrosourea (ENU) were bred to recover recessive coding mutations (Extended Data Fig. 1). Phenotyping was conducted using noninvasive fetal echocardiography, an ultrasound imaging modality also employed clinically for CHD diagnosis. This unbiased study design allows detection of even those CHD mutants inviable to term6, a segment of CHD cases that would be largely clinically inaccessible for genetic analysis. Using combination of color flow, 2D, spectral Doppler and M-mode imaging, a wide spectrum of CHD phenotypes were recovered, including cardiac looping defects, OFT malalignment/septation defects, ventricular/atrioventricular septal defects, and various right/left heart obstructive lesions6 (Figure 1; Supplemental Movies S1-S3). The CHD diagnoses were confirmed with microCT/microMRI, necropsy, and histopathology (Extended Data Fig. 1). Heritability was ascertained with recovery of two or more G3 fetuses with the same CHD phenotype (n=4.6±2.6). Ultrasound scanning of 87,355 G3 fetuses from 2,651 mutant lines (defined by the G1 sire) recovered 218 CHD mutant lines. These were curated in the Mouse Genome Informatics Database (http://www.informatics.jax.org/searchtool/Search.do?query=b2b&submit=Quick%0D%0ASearch), with G1 sperm cryopreserved in the Jackson Laboratory (JAX®Mice).

Figure 1. Ultrasound diagnoses of CHD and cilia defects in CHD mutants.

Figure 1

Vevo 2100 color flow imaging showed criss-crossing of blood flow indicating normal aorta (Ao) and pulmonary artery (PA) alignment (a, Supplemental Movie S1), confirmed by histopathology (b). E16.5 mutant (line b2b327) exhibited blood flow pattern indicating single great artery (PA) and ventricular septal defect (VSD) (c, Supplemental Movie S2), suggesting aortic atresia with VSD, confirmed by histopathology (d). Color flow imaging of E15.5 mutant (line b2b2025) with heterotaxy (stomach on right; Supplemental Movie S3c) had side-by-side Ao/PA with Ao emerging from right ventricle (RV), indicating DORV/VSD (e,f,Supplemental Movie S3a), and presence of AVSD (g,h,Supplemental Movie S3b,S3c). Histopathology also showed bicuspid aortic valve (BAV,i), interrupted aortic arch (IAA,j), and common AV valve (k). (l-n). Cc2d2a mutant exhibits dextrocardia with ventricular inversion (dextroversion) (m), and AVSD (l) with malformed AV cushions (n), but normal outflow cushions. (o-x). Confocal imaging of E12.5 Cc2d2a mutant (m/m) vs. wildtype (+/+) embryo sections showed no cilia in AV cushion (o,p), but normal ciliation in outflow cushion (q,r). Fewer and shorter cilia were observed in other mutant embryo tissues (s-x). Red:acetylated tubulin;green:IFT88.

Many mutant lines (30%) exhibited complex CHD associated with heterotaxy, the randomization of left-right patterning. These heterotaxy mutants often died prenatally. We note clinical studies show 16% of human fetuses with complex CHD have heterotaxy7, and these also exhibit high prenatal/intrauterine death (30-60%)8,9. Also commonly observed in mutant lines with or without laterality defects are double outlet right ventricle (DORV) and atrioventricular septal defects (AVSD), phenotypes that usually resulted in prenatal lethality. We note DORV and AVSD are also observed with high prevalence in aborted/stillborn human fetuses3. Most heterotaxy mutant lines exhibited three distinct visceral organ situs phenotypes: normal situs solitus, mirror symmetric situs inversus, or randomization with heterotaxy, with complex CHD observed only with heterotaxy (Extended Data Fig. 2). These three phenotypes are found in patients and mice with mutations causing primary ciliary dyskinesia (PCD)10,11, a sinopulmonary disease arising from immotile/dyskinetic respiratory cilia. This reflects the common requirement for motile cilia in airway clearance and left-right patterning11,12. Hence, we conducted videomicroscopy of the tracheal epithelia to assess cilia motility as a proxy for the node.

Mutation recovery was conducted with whole exome sequencing analysis of a single mutant from each of 113 mutant lines. Cumulatively this yielded 7,996 coding mutations in 4,809 genes (Extended Data Fig. 3a). Genotyping analysis identified the pathogenic mutation as one consistently homozygous across all G3 mutants bearing the same phenotype. In mutant lines with multiple homozygous mutations on the same chromosome linked to the CHD phenotype, the pathogenic mutation was identified with segregation analysis of additional mutants, and/or based on phenotype comparison to existing knockout/mutant alleles. For five lines (b2b002/b2b012/b2b284/b2b1519/b2b1146), the mutation was confirmed with mapping analyses13.

In this manner, 91 pathogenic mutations were recovered in 61 genes (Supplemental Spreadsheet 1). The distribution of missense/splicing/nonsense mutations were similar to other ENU mutagenesis studies14 (Extended Data Fig. 3a). All mutations except one were in highly conserved amino acids (Supplemental Spreadsheet 2). Five of the 19 splicing mutations are >2-bases from the canonical splice donor-acceptor sites, the farthest being 10 bases apart (Dnah5c.13329-10T>A;b2b1537; validated by cDNA sequencing, Extended Data Fig. 4). Multiple alleles were recovered in 15 genes (Extended Data Table 1). Of 61 CHD genes recovered, 27 were not previously annotated to cause CHD (Extended Data Fig. 3b), either because no mutant/knockout mice were available, or the CHD phenotype was not investigated (Supplemental Spreadsheet 1). In some instances, the existing mutants died early, precluding CHD analysis, such as the Smarca4 knockout mouse with peri-implantation lethality15. A Hectd1 mutant was previously described only with neural tube defects16 versus our Hectd1b2b327 mutant shown to have aortic atresia (Figure 1c,d). The identical Adamts6 mutation was found in 3 lines, shown to be a spontaneous mutation in the C57BL6/J support colony (Supplemental Spreadsheet 1).

Thirty-four of the 61 CHD genes are cilia-related (Figure 2), 23 in laterality mutant lines (Extended Data Table 2, Fig.3a,5). Twelve are required for motile cilia function, with 8 clinically known to cause PCD and 3 likely novel PCD genes (Ccdc151,Daw,Pkd1l1) (Extended Data Tables 2,3; Supplemental Spread Sheet 1). A mutation was recovered in Foxj1, a transcription factor known to regulate ciliogenesis. While Foxj1 knockout mice have no cilia in the airway17, our Foxj1b2b774 mutant harboring a missense mutation in the DNA binding domain has ciliated trachea with robust ciliary motion (Supplemental Movie S4), but with no nodal flow (Supplemental Movie S5).

Figure 2. Congenital heart disease genes recovered from mouse mutagenesis screen.

Figure 2

Diagrams illustrate biological context of CHD gene function (color-highlighting indicate CHD genes recovered; asterisk denote CHD genes recovered from previous screen27). For clarity, ciliome genes (Dctn5,Fuz) with endocytic function and/or involved in cilia-transduced signaling were not shown in the ciliogenesis panel.

Mutations in 22 ciliome genes affect primary cilia - 11 in laterality and 11 in nonlaterality mutant lines (Extended Data Table 2, Fig. 3a,5). Among nonlaterality mutants are Cep110 - centrosome component, Jbts17 - cilia transition zone protein, and four other genes (Fuz,Myh10,Dctn5,Lrp2) that also play important roles in vesicular/endocytic trafficking, a biological process essential for ciliogenesis18,19 (Figure 2). Many genes affecting laterality are associated with non-PCD ciliopathies (Anks6,Bicc1,Tbc1d32, Cep290,Dync2h1,Ift74,Ift140,Nek8,Pcsk5,Pskh1,Cc2d2a,Tmem67; Extended Data Table 3)20,21. Analysis of Cc2d2a mutant embryo by confocal imaging showed shorter and fewer cilia throughout the embryo (Figure 1s-x). In Cc2d2a mutant embryo, while cilia were abundant in outflow cushions, they were absent in AV cushions (Figure 1p,r). Consistent with this, Cc2d2a mutant embryos die prenatally with AVSD (Figure 1l,n), but with normal semilunar valves (Figure 1m,n).

Of the 26 non-ciliome CHD genes, 15 are known to mediate cell signaling, including SHH (Fuz,Kif7,Lrp2,Sufu,Tbc1d32), WNT/planar cell polarity (Ptk7,Prickle 1,Fuz), TGF-p/BMP (Cfc1,Ltbp1,Megf8, Pcsk5,Smad6,Tab1), and calcium signaling (Pkd1l1,Pkd1) (Figure 2). Five of these were recovered in the laterality mutant lines (Tbc1d32,Cfc1,Megf8,Pcsk5,Pkd1l1). These pathways are all transduced or modulated by the cilium, and play significant roles in cardiovascular development and/or left-right patterning.

We also recovered 10 CHD genes mediating vesicular/endocytic trafficking, including four (Lrp2,Myh10,Dctn5mFuz) that are ciliome related (Figure 2). The enrichment for endocytic genes may be mechanistically linked to cilia, as vesicular trafficking at the cilia base has important roles in both ciliogenesis and cilia transduced cell signaling18,19,22. These endocytic genes caused a similar spectrum of OF malalignment and septation defects (Extended Data Fig. 6). Only Ap1b1, an adaptin subunit mediating endocytic protein sorting in the Golgi was observed to cause laterality defects (b2b1660; Extended Data Fig. 2). While Ap1b1 mutants showed normal airway and embryonic node cilia motility (Supplemental Movie S6,S7), Ap1b1 mutant embryonic fibroblasts exhibited ciliogenesis defect (65% vs. 85% ciliation in Ap1b1 mutant versus wildtype fibroblasts;p=5.90×10-6). Ap2b1, an adaptin protein complex 2 subunit homologous to Ap1b1, functions in clathrin mediated endocytosis. Snx17, known to regulate endocytic receptor recycling, has a mutation in the cargo binding FERM domain, region known to interact with the NPXY motif of endocytic protein LRP1, which was also recovered in our screen (Extended Data Fig.3b).

Other CHD genes recovered included a novel zinc finger protein Zbtb14, and two genes modulating chromatin, Smarca4 and Prdm1. Also recovered were six extracellular matrix related genes (Acan,Adamts6, Frem2,Lox,Mmp21,Ndst1), one (Lox) identified as cilia-related, three novel genes (Cml5,Gm572,Mmp21) causing CHD with laterality defects, and two genes (Acan, Pkd1) causing biventricular hypertrophy without other structural heart defects.

Many of the CHD genes encode proteins known to physically interact or are in the same multiprotein complexes. For example, ANKS6 can bind BICC1 and also NEK8, with NEK8/ANKS6 colocalizing in the cilia inversin compartment24,25. TMEM67, CEP290, JBTS17, and CC2D2A are colocalized in the NPHP1-4-8 multiprotein complex in the cilia transition zone23. DNAH5, DNAH11, DNAI1 and DAW1 are associated with the outer dynein arm complex of motile cilia, while IFT140 and IFT74 are intraflagellar transport protein components that together with DYNC2H1 mediate protein transport in the cilium (Figure 2)18,20. SNX17 can directly bind LRP1 to promote LRP1 cell surface recycling26. These findings prompted an examination of the 113 exomes for the prevalence of additional mutations in the 61 CHD genes. This showed 58 additional incidental mutations in 32 of the CHD genes, a significant enrichment compared to random simulations (P=0.00114;Online Methods), suggesting possible modifier effects.

To further assess for potential protein-protein interactions (PPI), we constructed an interactome of CHD genes using known PPIs in the public databases and our own computationally predicted PPIs (Online Methods). This yielded an interactome of 778 genes, 292 are predicted PPIs (Supplemental Spreadsheet 3;Figure 3a). The average shortest distance between CHD genes is 4.3±2.5 edges, whereas random genes of matched degree distribution had a larger distance of 5.7±4.4 edges (P=0.01). Statistical analysis of the interactome revealed significant Go Ontology term enrichment related to development, including heart development terms (Supplemental Spreadsheet 3;Figure 3b). Pathways identified included “clathrin-mediated endocytosis signaling”, “TGFβ signaling”, “BMP signaling” and “axon pathfinding” (Supplemental Spreadsheet 3). Several CHD genes recovered are known to regulate axon guidance and neurogenesis, including Plxnd1, Robo1, and Cxcr4, while Pde2a regulates synaptic plasticity and long term potentiation, and Myh10 is required for synaptic membrane recycling (Extended Data Fig.7).

Figure 3. Interactome network of CHD genes with known and predicted interactors.

Figure 3

An interactome network was constructed (a) comprising the 61 CHD genes (magenta squares) and their known (blue edges) and predicted (red edges) interactions. The CHD interactome yielded significant enrichment of GO terms related to developmental processes. Circle size proportional to number of genes associated with GO terms.

Overall, our study provides compelling evidence that the cilium plays a critical role in CHD pathogenesis. The observed enrichment for cilia and cilia-related genes emerged from a phenotype driven forward genetic screen agnostic to the specific genes that may be recovered. The finding of ciliome mutations in CHD mutant lines with and without laterality defects would suggest a broad role for cilia in CHD pathogenesis. While our study is focused on monogenic recessive coding mutations, we noted striking overlap of genes recovered in the mouse screen versus heterozygous de novo coding mutations in CHD candidate genes identified in CHD patients5. Of 28 CHD genes identified in the human study - 11 are cilia-related, 7 are in TGFb/SHH/WNT signaling, and 2 in vesicular/endocytic trafficking (Supplemental Spread Sheet 4). Heterozygous mutation in PITX2, a gene essential for left/right patterning12, was recovered in a non-heterotaxy CHD patient, suggesting a broader role for left-right patterning in CHD pathogenesis. The human study identified an important role for genes regulating chromatin. Consistent with this, our screen recovered two mouse CHD genes modulating chromatin, Smarca4 and Prdm15. Hence, findings from our fetal mouse screen may provide insights not only on Mendelian recessive genetic contribution to CHD in the unborn, a segment of the CHD population not well studied, but these findings also may have relevance to the complex genetics of CHD overall. The CHD mouse models generated in this study are invaluable resources for interrogating CHD pathogenesis, with the cryopreserved mutant lines providing access to a large library of mutations, including null mutations for genes without KOMP alleles.

Online Methods

Congenital Heart Defect Phenotyping

C57BL/6J mice were chemically mutagenized using ethylnitrosourea and subject to a two generation backcross breeding scheme27. To identify CHD mutants, G3 fetuses were ultrasound scanned with a two-tier ultrasound phenotyping strategy using the Acuson Sequoia and Vevo2100 ultrasound systems as previously described6. The fetal ultrasound imaging was conducted at E13.5-15.5, after completion of major cardiovascular developmental processes, including outflow tract septation and ventricular chamber septation. All of the CHD diagnoses were confirmed or refined by additional analysis using micro-CT/micro-MRI analyses and 3D histopathology using episcopic confocal microscopy6,28 (Extended Data Figure 1). The summative CHD diagnosis and phenotype description are curated in the public Mouse Genome Informatics (MGI) database (www.informatix.jax.org; enter search box “b2b” will pull up all the lines or type in specific line ID or MGI ID to go directly to a specific mutant line). Included in each mutant line MGI record are sample images and videos collected from various different imaging modalities, including ultrasound images and videos, necropsy images, microCT/microMRI scans, episcopic confocal microscopy image stacks and 3D reconstructions, histology, and high speed videos for analysis of tracheal airway cilia motility.

Cilia Videomicroscopy

Trachea of newborn mice were harvested and mounted as previously described. For nodal cilia imaging, the node-containing region of E7.5-E7.75 embryos (3-6 somite stages) was dissected and mounted on a glass coverslip10. Videomicroscopy was carried out using a Leica DMIRE2 inverted microscope at 37°C with a 100× oil objective, and DIC optics. To examine flow, 0.35 μm microspheres were added to the medium bathing the ciliated tissue samples (∼1 × 1011 particles/ml, Polysciences, Inc.). High-speed videos (200 fps) were collected using a Phantom v4.2 camera (Vision Research, NJ).

Mutation Recovery with Whole Exome Sequencing Analysis

Genomic DNA from CHD mutant mice were sequence captured using Agilent SureSelect Mouse All Exon kit V1, and sequenced using Illumina HiSeq 2000 with minimum average 50× target sequence coverage (BGI Americas). Sequence reads were aligned to C57BL/6J mouse reference genome (mm9) and analyzed using CLCBio Genomic Workbench and GATK software. To minimize false-negatives, variant calls were set at 5× minimum coverage and >20% alternate reads. Sequence variants were annotated with annovar (http://www.openbioinformatics.org/annovar/) and filtered against dbSNP128 and our in-house mouse exome databases with custom scripts. Intronic variants within 10bp from the splice junction were annotated as potential splicing mutation. All of the mutations recovered are searchable together with phenotype information via the public Bench to Bassinet Congenital Heart Disease Mouse Mutation Database (http://benchtobassinet.com/ForResearchers/BasicScienceDataResourceSharing/GeneDiscoveryinMouseModels.aspx). The exome datasets are available from the GNomEx CvDC Datahub (https://b2b.hci.utah.edu/gnomex/gnomexGuestFlex.jsp?topicNumber=67).

Ciliome Gene Annotation

Ciliome genes were derived from a compilation of multiple bioinformatics, genomic and proteomic studies in different species29. This included a bioinformatics study of X-box containing genes in C. elegans and several proteomic and comparative genomic studies comprising ciliated organisms in several species (C. elegans, Drosophila, Human, Chlamydomonas, Plasmodium falciparum and Trypanosoma). In addition, we also included genes recently identified in the cilia transition zone complex23 and genes identified to cause Primary Ciliary Dyskinesia (http://ghr.nlm.nih.gov/condition/primary-ciliary-dyskinesia/show/Related+Gene(s)).

Analysis of Splicing Defect Mutations

For analysis of splicing defect mutations, RNA was isolated from skin, trachea, or heart tissue and reverse transcribed to generate cDNA using a High Capacity RNA-to-cDNA Kit (Life Technologies, Inc.). PCR amplification of the cDNA was carried out with primers spanning the affected splice junction using AmpliTaq Gold™ DNA polymerase system (Life Technologies) (95°C for 5 min, 40 cycles at 95°C for 30 s, 58°C for 30 s at 72°C for 1 min, 72°C for 5 min). The amplified products were separated on a 3% agarose gel and the bands were excised using the QIAquick Gel Extraction Kit (Qiagen) and analyzed by Sanger capillary sequencing.

Simulation-based Mutation Enrichment Analysis

A simulation approach was used to test whether mutations in the 61 CHD genes are enriched in the mouse exome datasets generated from the 113 CHD mutant mouse lines. From the 113 exomes, we recovered 149 mutations in the 61 CHD genes, 91 of which were identified as pathogenic, yielding an excess of 58 incidental mutations. For this simulation, all the genes from the mouse genome were grouped in bins of 500 genes based on coding DNA sequence (CDS) length. Then 61 genes with the same size distribution as the observed 61 CHD genes were randomly sampled. For each bin that contained k of our 61 CHD genes, we randomly sampled k genes, and counted the number of mutations in these genes in the 113 mouse exomes. Based on 50,000 sets of 61 randomly sampled genes, we calculated a p-value based on the count of random gene sets that harbored 149 or more mutations. To take potential gene coverage bias into account, we limited our random gene selection to genes with at least one coding mutation in our CHD exomes, which yielded p-value of 0.00114. When we choose random genes from all genes, including genes not found in our exome dataset, p-value is <0.00002.

Interactome Analysis

To construct the interactome, each of the mouse CHD genes was mapped to its human ortholog, and PPIs of these genes were extracted from HPRD (www.hprd.org) and BioGRID (thebiogrid.org). The interactome is augmented with PPIs discovered computationally using the recently developed HiPPIP model (unpublished results). Pathway and Gene Ontology term enrichment analysis of the interactome were carried out using Ingenuity Pathway Analysis suite and BiNGO30 plugin of Cytoscape (http://www.cytoscape.org/). P-value for each pathway and GO term was calculated using Fisher's exact test with Benjamini-Hochberg correction (Supplementary Spread Sheet 3). Shortest paths were computed using Dijkstra's algorithm implemented in the networkx package of python. Average length of the shortest paths between pairs of CHD genes was compared to that of 61 random genes, where random genes were sampled to have similar degree distribution as the 61 CHD genes. For this, all human genes were categorized into 7 bins based on their degree in the interactome, (0, 1-5, 6-25, 26-50, 51-75, 75-100, >100). As many random genes were selected from any bin as the number of CHD genes in that bin. This process was repeated 1,500 times, and average length of the shortest paths is computed each time. P-value is computed empirically to determine statistical significance.

Extended Data

Extended Data Table 1. CHD Genes with Multiple Alleles.

Gene Symbol (mouse) Gene Symbol (human) Mouse CDS (bp) # Alleles Recovered
Daw1 DAW1 933 2
Dnai1 DNAI1 2,106 2
Drc1 DRC1 2,262 2
Pde2a PDE2A 2,808 2
Ccdc39 CCDC39 2,814 3
Tmem67 TMEM67 2,988 2
Armc4 ARMC4 3,114 la
Adamts6 ADAMTS6 3,351 lb
Pcsk5 PCSK5 5,634 2
Plxnd1 PLXND1 5,778 2
Cep290 CEP290 7,440 2
Pkd1l1 PKD1L1 7,824 2
Megf8 MEGF8 8,370 2
Dnah11 DNAH11 13,467 8
Dnah5 DNAH5 13,866 9
a

Identical mutation was recovered from two different mutant lines.

b

Identical mutation was recovered from three different mutant lines, later confirmed to be a spontaneous mutation in the support colony.

Extended Data Table 2. Ciliome Mutations in Laterality and Non-Laterality Lines.

Laterality Mutant Lines (30) Non-Laterality Mutant Lines (31)

Ciliome Genes* Non-Ciliome Genes Ciliome Genes Non-Ciliome Genes
Anks6 Aplbl CepllO Acan
Armc4 (m) Cfcl Dctn5 Adamts6
Bice I Cml5 Fuz Ap2bl
Cc2d2a Gm572 Jbtsll Cxcr4
Ccdcl51 (m) Meg/8 Kif7 Dnm2
Cede3 9 (m) Mmp21 Lrp2 Frem2
Cep290 Pcsk5 Lox Hectdl
Daw1 (m) Total: 7 MyhlO Lrpl
Dnaaf3 (m) Pde2a Ltbpl
Dnah5 (m) Pkdl Ndstl
Dnah11(m) Sufu Plxnd1
Dnail (m) Total: 11 Prdml
Drc1 (m) Prickle 1
Dync2hl Ptkl
Dyxlcl (m) Robol
Foxjl (m) Smad6
Iftl40 Smarca4
Ift74 Snx17
Nek8 Tabl
Pkdlll (m) Zbtbl4
Pskhl Total: 20
Tbcld32
Tmem67
Total: 23 (12)
*

m: mutation affects motile cilia function

Extended Data Table 3. Mouse CHD genes and associated human diseases.

Ciliopathy Related
Armc4 Primary ciliary dyskinesia, Kartagener Syndrome
Ccdc39 Primary ciliary dyskinesia, Kartagener Syndrome
Dnaaf3 Primary ciliary dyskinesia, Kartagener Syndrome
Dnahl1 Primary ciliary dyskinesia, Kartagener Syndrome
Dnah5 Primary ciliary dyskinesia, Kartagener syndrome
Dnail Primary ciliary dyskinesia, Kartagener syndrome
Drc1 Primary ciliary dyskinesia, Kartagener syndrome
Dyx1c1 Primary ciliary dyskinesia, Kartagener syndrome
Cc2d2a Joubert Syndrome; COACH syndrome
Cep290 Joubert Syndrome 5; Senior-loken Syndrome6, Bardet Biedl Syndrome Leber Congenital Amaurosis 10, Meckel Syndrome-4
Jbts17 Joubert Syndrome
Kif7 Joubert Syndrome, Acrocallosal Syndrome, Hydrolethalus Syndrome
Tmem67 Joubert Syndrome; Nephronophthisis-11, Meckel Syndrome, COACH syndrome, Bardet Biedl Syndrome
Anks6 Polycystic kidney disease; nephronophthisis 16
Bicc1 Polycystic kidney disease; cystic renal dysplasia
Nek8 Polycystic kidney disease; nephronophthisis 9
Pkd1 Polycystic kidney disease
Pkd1l1 Kidney disease, diaphanospondylodysostosis
Dync2h1 Short rib Polydactyly; asphyxiating thoracic dystrophy
Ift140 Mainzer-Saldino Syndrome, short rib thoracic dysplasia
Other Human Diseases
Ap2b1 Ataxia telangiectasia, cerebellar degeneration
Cfc1 Conotruncal heart defects associated with heterotaxia
Cxcr4 WHIM Syndrome
Dnm2 Charcot-Marie-Tooth Syndrome, Centronuclear myopathy
Frem2 Fraser's Syndrome, Cryptophthalmos syndrome
Lrp1 Alzheimer Disease, Schizophrenia
Lrp2 Donnai-Barrow Syndrome; Facio-oculo-acoustico-renal (FOAR)
Ltbp1 Pseudoexfoliation Syndrome
Megf8 Carpenter's syndrome
Pcsk5 VACTERL/VATER syndrome
Prdm1 Devic disease, B cell lymphoma
Smad6 Aortic valve disease
Smarca4 Rhabdoid tumor predisposition syndrome type 2 (RTPS2), Coffm-Siris syndrome
Snx17 Cerebral cavernous malformation; cavernous malformation
Sufu Medulloblastoma, basal cell nevus syndrome

Supplementary Material

Supplemental Spre Sheet 3

A. Extended Data Figure Legends

Extended Data Figure 1. Breeding, phenotyping, and mutation recovery pipeline for mouse forward genetic screen.

a. Two generation backcross breeding scheme used to generate G3 mutants with recessivemutations causing congenital heart defects, with all offspring from a single G1 male definedas a distinct pedigree or mutant line.

b. Pipeline for recovery and curation and cryopreservation of CHD mutant mouse modelsand the recovery of pathogenic CHD causing mutations.

Extended Data Figure 2. Situs anomalies and congenital heart defects in Ap1b1b2b1660 mutants.

Mutants from line 1660, identified with an Ap1b1 mutation, exhibits situs solitus (a), situs inversus (b), or heterotaxy (c). Situs solitus, characterized by normal left-right visceral organ positioning, the heart apex (arrow) points to the left (levocardia), four lung lobes are on the right and one on the left, stomach is to the left, and the dominant liver lobe is on the right. With situs inversus, there is complete mirror reversal of organ situs, while with heterotaxy, visceral organ situs is randomized, such as dextrocardia with levogastria shown in (c). The heterotaxy mutant in (c) exhibit complex CHD with AVSD (d), ventricular septal defect (VSD) (e), duplicated inferior vena cava (IVC) (f), and left pulmonary isomerism with bilateral single lung lobes (g)

Extended Data Figure 3. Distribution of mutations recovered by whole mouse exome sequencing analysis.

a. Distribution of incidental coding mutations (left), pathogenic CHD causing mutations (middle) and ciliome-CHD genes (right) recovered from 113 CHD mutant mouse exomes.

b. Mouse CHD genes and the associated defect phenotypes.

Extended Data Figure 4. Pathogenic splicing mutations causing CHD

a. The 19 pathogenic splicing mutations recovered are shown, with mutations locatedbeyond the 2-base canonical splice junction highlighted in grey.

b. Schematic diagram showing the anomalous Dnah5c.133290-10T>A mutant transcriptobserved, with the PCR primer location and anomalous PCR product size indicated.

c. Sanger sequencing profile showing point mutation in Dnah5c.133290-10T>A mutant transcriptvs. that of wildtype.

d. PCR amplification of Dnah5c.133290-10T>A heterozygous mutant (m/+) showed the expected 514 bp wildtype and 271 bp mutant PCR product, while only the 271 bp mutant product was observed in the homozygous mutant (m/m) sample.

Extended Data Figure 5. Ciliome mutations causing CHD with and without laterality defects

A flow chart showing the distribution of ciliome vs. non-ciliome CHD genes among laterality versus nonlaterality-CHD lines, and further stratification of of ciliome CHD genes affecting primary vs. motile cilia function.

Extended Data Figure 6: CHD phenotypes associated with mutations affecting endocytic trafficking

Outflow tract malalignment defects with double outlet right ventricle (DORV) and overriding aorta (Ao) were observed in Ap2b1 (a), Dnm2 (b), Snx17 (c) mutants, with Ap2b1 (a) mutant also showing anterior positioning of the aorta (Taussig-Bing type DORV). Snx17 mutant also has AVSD. Lrp2 (d) and Lrp1 (e) mutants both exhibited outflow tract septation defect with persistent truncus arteriosus (PTA). See Supplemental Movie S8 for 3D reconstruction of the Ap2b1 mutant heart shown in (a).

Extended Data Figure 7. CHD genes associated with axon guidance

Diagram illustrating the biological context of several CHD genes known to be involved in axonal guidance (color-highlighting indicates CHD genes recovered from present screen).

B. Supplemental Spreadsheets

Supplemental Data Spreadsheet 1: CHD mutations and comparison to other mutant alleles and human diseases

Supplemental Data Spreadsheet 2: Position and sequence conservation of CHD mutations

Supplemental Data Spreadsheet 3: Gene ontology and pathway analyses of CHD interactome genes

Supplemental Data Spreadsheet 4: Ciliome and pathway annotation for 28 CHD candidate genes recovered from Pediatric Cardiac Genomics Consortium human CHD patient exome sequencing analysis

C. Supplemental Movie Legends

Movie S1. Ultrasound imaging of normal fetus shown in Figure 1a.

Vevo 2100 color flow Doppler imaging in coronal view show normal alignment of the two great arteries with normal connection to the two ventricles.

Movie S2. Ultrasound imaging of mutant fetus shown in Figure 1c.

Vevo 2100 color flow Doppler imaging in coronal view show a single outflow tract originating from right ventricle (RV) indicating aortic atresia. Shunting of blood between LV and RV suggests ventricular septal defect, and biventricular hypertrophy.

Movie S3a. Ultrasound imaging of mutant fetus from line b2b2025 shows DORV and presence of a VSD.

Vevo2100 color flow imaging in coronal view of fetus in Figure 1e-k showed aorta and pulmonary artery side-by side, both emerging from the right ventricle (RV) indicating DORV, and a shunting of blood between the two ventricles indicating ventricular septal defect (VSD).

Movie S3b. Ultrasound imaging of mutant fetus from line b2b2025 shows AVSD and muscular VSD.

Vevo 2100 color flow imaging in transverse view of fetus in Figure 1e-k detected forward blood flow and regurgitation from a common atrioventricular valve suggesting atrioventricular septal defect. Also observed was a muscular ventricular septal defect.

Movie S3c. Ultrasound imaging of mutant fetus from line b2b2025 shows heterotaxy.

Vevo2100 2D imaging in coronal view of fetus in Figure 1e-k detected heart apex pointing to left suggesting levocardia, but stomach (Stom) located on right, which together indicated this fetus has heterotaxy.

Movie S4. Videomicroscopy of ciliary motion of tracheal epithelia of newborn Foxj1 mutant mice.

Tracheal airway epithelium in a newborn homozygous Foxj1b2b774 mutant mouse shows normal ciliary motion.

Movie S5. Videomicroscopy of ciliary motion in embryonic node of Foxj1 mutant embryo. Cilia in the embryonic node of a homozygous Foxj1b2b774 mutant embryo shows dyskinetic ciliary motion and no nodal flow.

Movie S6. Videomicroscopy of ciliary motion in tracheal epithelia of newborn Ap1b1 mutant.

Tracheal airway epithelium in a newborn homozygous Ap1b1b2b1660 mutant mouse shows normal ciliary motion.

Movie S7. Videomicroscopy of ciliary motion in embryonic node of Ap1b1 mutant embryo. Cilia in the embryonic node of a homozygous Ap1b1b2b1660 mutant fetus shows normal ciliary motion and flow.

Supplemental Spread Sheet 1
Supplemental Spreadsheet 4
SupplementalSpreadSheet 2
VideoS1
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VideoS2
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VideoS3a
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VideoS3b
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VideoS3c
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VideoS4
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VideoS6
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VideoS7
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VideoS8
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Acknowledgments

We thank Ricardo Ramirez for early assistance with the mutagenesis breeding pipeline, Ramiah Subramanian and Deborah Farkas for early assistance with necropsy and pathology examination of mutants, Ashok Srinivasan for early assistance with exome sequencing, Sarosh Fatakia for assistance with sequencing data maintenance, Margaret Wong and Cassandra Krise for assistance with mouse curation. Bruce Beutler for advice on mapping mutation using intercrosses with C57BL/10J strain and whole mouse exome sequencing analysis, Dan Weeks and Ying Shan for assistance in statistical modeling of target gene size estimates, Betsy Goldmuntz for helpful discussions and critical review of the manuscript, New England Research Institutes (NERI) for constructing the CHD Mouse Mutation Database. The project was supported by Award Numbers U01HL098180 (CWL) and U01HL098188 (NERI) from the National Heart, Lung, and Blood Institute, R01MH094564 (MKG) from the National Institute of Mental Health, and HG000330 (JE) from the National Human Genome Research Institute. Funding was also provided by the University of Pittsburgh School of Medicine. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Heart, Lung, and Blood Institute, the National Human Genome Research Institute or the National Institutes of Health.

Footnotes

Author Contributions: Study design: CWL

ENU mutagenesis, line cryopreservation, JAX strain datasheet construction: HP, LR, JM, LH

Mouse breeding, sample collection, sample tracking: SA, CL, KL, GCG, AV, CWL

Electronic database construction and maintenance: CC

MGI curation: KT, GCG, LL, CWL, CLS, JTE,

CHD phenotyping: XL, KL, YC, GCG, AJK, SA, WD, CWL, LL, KT, RF

Cilia immunostain and histology: JTS, GJP, RF

Analysis of airway and node cilia motility: RF, KL, GCG, AJK

Exome sequencing analysis: YL

Mutation validation: NTK, BC, RD, HY, YL

Mutation mapping: RD, NTK, BC, YL

Interactome analysis: MKG, MT

Ciliome and pathway annotation: CWL, GJP, GCG, NTK, YL

Manuscript preparation: CWL, YL, NTK, GCG

1

Author Information: All mutant mouse lines recovered in this mouse mutagenesis screen and theirphenotype description and causative mutations are curated in the Mouse GenomeInformatics (MGI) database (www.informatix.jax.org) and can be retrieved from MGI byentering “b2b” in the search box.

2

All mutant mouse lines curated in MGI can be reanimated from sperm cryopreserved in the Jackson Laboratory (JAX®Mice) Repository.

3

All mutations recovered by mouse exome sequencing analysis are searchable together with phenotype information via the public Bench to Bassinet Congenital Heart Disease Mouse Mutation Database (http://benchtobassinet.com/ForResearchers/BasicScienceDataResourceSharing/GeneDiscoveryinMouseModels.aspx)

4

The mouse exome datasets are available from the GNomEx CardiovascularDevelopment Consortium (CvDC) Datahub (https://b2b.hci.utah.edu/gnomex/gnomexGuestFlex.jsp?topicNumber=67)

References

  • 1.Reller MD, Strickland MJ, Riehle-Colarusso T, Mahle WT, Correa A. Prevalence of congenital heart defects in metropolitan Atlanta, 1998-2005. The Journal of pediatrics. 2008;153:807–813. doi: 10.1016/j.jpeds.2008.05.059. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Hoffman JI. Incidence of congenital heart disease: II. Prenatal incidence. Pediatric cardiology. 1995;16:155–165. doi: 10.1007/BF00794186. [DOI] [PubMed] [Google Scholar]
  • 3.Tennstedt C, Chaoui R, Korner H, Dietel M. Spectrum of congenital heart defects and extracardiac malformations associated with chromosomal abnormalities: results of a seven year necropsy study. Heart. 1999;82:34–39. doi: 10.1136/hrt.82.1.34. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Oyen N, et al. Recurrence of congenital heart defects in families. Circulation. 2009;120:295–301. doi: 10.1161/CIRCULATIONAHA.109.857987. [DOI] [PubMed] [Google Scholar]
  • 5.Zaidi S, et al. De novo mutations in histone-modifying genes in congenital heart disease. Nature. 2013;498:220–223. doi: 10.1038/nature12141. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Liu X, et al. Interrogating congenital heart defects with noninvasive fetal echocardiography in a mouse forward genetic screen. Circulation Cardiovascular imaging. 2014;7:31–42. doi: 10.1161/CIRCIMAGING.113.000451. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Atkinson DE, Drant S. Diagnosis of heterotaxy syndrome by fetal echocardiography. The American journal of cardiology. 1998;82:1147–1149. A1110. doi: 10.1016/s0002-9149(98)00574-8. [DOI] [PubMed] [Google Scholar]
  • 8.Berg C, et al. Prenatal diagnosis of cardiosplenic syndromes: a 10-year experience. Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology. 2003;22:451–459. doi: 10.1002/uog.904. [DOI] [PubMed] [Google Scholar]
  • 9.Taketazu M, Lougheed J, Yoo SJ, Lim JS, Hornberger LK. Spectrum of cardiovascular disease, accuracy of diagnosis, and outcome in fetal heterotaxy syndrome. The American journal of cardiology. 2006;97:720–724. doi: 10.1016/j.amjcard.2005.09.119. [DOI] [PubMed] [Google Scholar]
  • 10.Tan SY, et al. Heterotaxy and complex structural heart defects in a mutant mouse model of primary ciliary dyskinesia. The Journal of clinical investigation. 2007;117:3742–3752. doi: 10.1172/JCI33284. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Leigh MW, et al. Clinical and genetic aspects of primary ciliary dyskinesia/Kartagener syndrome. Genetics in medicine : official journal of the American College of Medical Genetics. 2009;11:473–487. doi: 10.1097/GIM.0b013e3181a53562. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Shiratori H, Hamada H. The left-right axis in the mouse: from origin to morphology. Development. 2006;133:2095–2104. doi: 10.1242/dev.02384. [DOI] [PubMed] [Google Scholar]
  • 13.Damerla RR, et al. Ion Torrent sequencing for conducting genome-wide scans for mutation mapping analysis. Mammalian genome : official journal of the International Mammalian Genome Society. 2014;25:120–128. doi: 10.1007/s00335-013-9494-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Coghill EL, et al. A gene-driven approach to the identification of ENU mutants in the mouse. Nature genetics. 2002;30:255–256. doi: 10.1038/ng847. [DOI] [PubMed] [Google Scholar]
  • 15.Bultman S, et al. A Brg1 null mutation in the mouse reveals functional differences among mammalian SWI/SNF complexes. Molecular cell. 2000;6:1287–1295. doi: 10.1016/s1097-2765(00)00127-1. [DOI] [PubMed] [Google Scholar]
  • 16.Kasarskis A, Manova K, Anderson KV. A phenotype-based screen for embryonic lethal mutations in the mouse. Proceedings of the National Academy of Sciences of the United States of America. 1998;95:7485–7490. doi: 10.1073/pnas.95.13.7485. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Chen J, Knowles HJ, Hebert JL, Hackett BP. Mutation of the mouse hepatocyte nuclear factor/forkhead homologue 4 gene results in an absence of cilia and random left-right asymmetry. The Journal of clinical investigation. 1998;102:1077–1082. doi: 10.1172/JCI4786. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Sung CH, Leroux MR. The roles of evolutionarily conserved functional modules in cilia-related trafficking. Nature cell biology. 2013;15:1387–1397. doi: 10.1038/ncb2888. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Gray RS, et al. The planar cell polarity effector Fuz is essential for targeted membrane trafficking, ciliogenesis and mouse embryonic development. Nature cell biology. 2009;11:1225–1232. doi: 10.1038/ncb1966. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Fliegauf M, Benzing T, Omran H. When cilia go bad: cilia defects and ciliopathies. Nature reviews Molecular cell biology. 2007;8:880–893. doi: 10.1038/nrm2278. [DOI] [PubMed] [Google Scholar]
  • 21.Ware SM, Aygun MG, Hildebrandt F. Spectrum of clinical diseases caused by disorders of primary cilia. Proceedings of the American Thoracic Society. 2011;8:444–450. doi: 10.1513/pats.201103-025SD. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Clement CA, et al. TGF-beta signaling is associated with endocytosis at the pocket region of the primary cilium. Cell reports. 2013;3:1806–1814. doi: 10.1016/j.celrep.2013.05.020. [DOI] [PubMed] [Google Scholar]
  • 23.Sang L, et al. Mapping the NPHP-JBTS-MKS protein network reveals ciliopathy disease genes and pathways. Cell. 2011;145:513–528. doi: 10.1016/j.cell.2011.04.019. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Stagner EE, Bouvrette DJ, Cheng J, Bryda EC. The polycystic kidney disease-related proteins Bicc1 and SamCystin interact. Biochemical and biophysical research communications. 2009;383:16–21. doi: 10.1016/j.bbrc.2009.03.113. [DOI] [PubMed] [Google Scholar]
  • 25.Hoff S, et al. ANKS6 is a central component of a nephronophthisis module linking NEK8 to INVS and NPHP3. Nature genetics. 2013;45:951–956. doi: 10.1038/ng.2681. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Donoso M, et al. Polarized traffic of LRP1 involves AP1B and SNX17 operating on Y-dependent sorting motifs in different pathways. Molecular biology of the cell. 2009;20:481–497. doi: 10.1091/mbc.E08-08-0805. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Shen Y, et al. Cardiovascular phenotyping of fetal mice by noninvasive high-frequency ultrasound facilitates recovery of ENU-induced mutations causing congenital cardiac and extracardiac defects. Physiological genomics. 2005;24:23–36. doi: 10.1152/physiolgenomics.00129.2005. [DOI] [PubMed] [Google Scholar]
  • 28.Kim AJ, et al. Microcomputed tomography provides high accuracy congenital heart disease diagnosis in neonatal and fetal mice. Circulation Cardiovascular imaging. 2013;6:551–559. doi: 10.1161/CIRCIMAGING.113.000279. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Inglis PN, Boroevich KA, Leroux MR. Piecing together a ciliome. Trends in genetics : TIG. 2006;22:491–500. doi: 10.1016/j.tig.2006.07.006. [DOI] [PubMed] [Google Scholar]
  • 30.Maere S, Heymans K, Kuiper M. BiNGO: a Cytoscape plugin to assess overrepresentation of gene ontology categories in biological networks. Bioinformatics. 2005;21:3448–3449. doi: 10.1093/bioinformatics/bti551. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplemental Spre Sheet 3

A. Extended Data Figure Legends

Extended Data Figure 1. Breeding, phenotyping, and mutation recovery pipeline for mouse forward genetic screen.

a. Two generation backcross breeding scheme used to generate G3 mutants with recessivemutations causing congenital heart defects, with all offspring from a single G1 male definedas a distinct pedigree or mutant line.

b. Pipeline for recovery and curation and cryopreservation of CHD mutant mouse modelsand the recovery of pathogenic CHD causing mutations.

Extended Data Figure 2. Situs anomalies and congenital heart defects in Ap1b1b2b1660 mutants.

Mutants from line 1660, identified with an Ap1b1 mutation, exhibits situs solitus (a), situs inversus (b), or heterotaxy (c). Situs solitus, characterized by normal left-right visceral organ positioning, the heart apex (arrow) points to the left (levocardia), four lung lobes are on the right and one on the left, stomach is to the left, and the dominant liver lobe is on the right. With situs inversus, there is complete mirror reversal of organ situs, while with heterotaxy, visceral organ situs is randomized, such as dextrocardia with levogastria shown in (c). The heterotaxy mutant in (c) exhibit complex CHD with AVSD (d), ventricular septal defect (VSD) (e), duplicated inferior vena cava (IVC) (f), and left pulmonary isomerism with bilateral single lung lobes (g)

Extended Data Figure 3. Distribution of mutations recovered by whole mouse exome sequencing analysis.

a. Distribution of incidental coding mutations (left), pathogenic CHD causing mutations (middle) and ciliome-CHD genes (right) recovered from 113 CHD mutant mouse exomes.

b. Mouse CHD genes and the associated defect phenotypes.

Extended Data Figure 4. Pathogenic splicing mutations causing CHD

a. The 19 pathogenic splicing mutations recovered are shown, with mutations locatedbeyond the 2-base canonical splice junction highlighted in grey.

b. Schematic diagram showing the anomalous Dnah5c.133290-10T>A mutant transcriptobserved, with the PCR primer location and anomalous PCR product size indicated.

c. Sanger sequencing profile showing point mutation in Dnah5c.133290-10T>A mutant transcriptvs. that of wildtype.

d. PCR amplification of Dnah5c.133290-10T>A heterozygous mutant (m/+) showed the expected 514 bp wildtype and 271 bp mutant PCR product, while only the 271 bp mutant product was observed in the homozygous mutant (m/m) sample.

Extended Data Figure 5. Ciliome mutations causing CHD with and without laterality defects

A flow chart showing the distribution of ciliome vs. non-ciliome CHD genes among laterality versus nonlaterality-CHD lines, and further stratification of of ciliome CHD genes affecting primary vs. motile cilia function.

Extended Data Figure 6: CHD phenotypes associated with mutations affecting endocytic trafficking

Outflow tract malalignment defects with double outlet right ventricle (DORV) and overriding aorta (Ao) were observed in Ap2b1 (a), Dnm2 (b), Snx17 (c) mutants, with Ap2b1 (a) mutant also showing anterior positioning of the aorta (Taussig-Bing type DORV). Snx17 mutant also has AVSD. Lrp2 (d) and Lrp1 (e) mutants both exhibited outflow tract septation defect with persistent truncus arteriosus (PTA). See Supplemental Movie S8 for 3D reconstruction of the Ap2b1 mutant heart shown in (a).

Extended Data Figure 7. CHD genes associated with axon guidance

Diagram illustrating the biological context of several CHD genes known to be involved in axonal guidance (color-highlighting indicates CHD genes recovered from present screen).

B. Supplemental Spreadsheets

Supplemental Data Spreadsheet 1: CHD mutations and comparison to other mutant alleles and human diseases

Supplemental Data Spreadsheet 2: Position and sequence conservation of CHD mutations

Supplemental Data Spreadsheet 3: Gene ontology and pathway analyses of CHD interactome genes

Supplemental Data Spreadsheet 4: Ciliome and pathway annotation for 28 CHD candidate genes recovered from Pediatric Cardiac Genomics Consortium human CHD patient exome sequencing analysis

C. Supplemental Movie Legends

Movie S1. Ultrasound imaging of normal fetus shown in Figure 1a.

Vevo 2100 color flow Doppler imaging in coronal view show normal alignment of the two great arteries with normal connection to the two ventricles.

Movie S2. Ultrasound imaging of mutant fetus shown in Figure 1c.

Vevo 2100 color flow Doppler imaging in coronal view show a single outflow tract originating from right ventricle (RV) indicating aortic atresia. Shunting of blood between LV and RV suggests ventricular septal defect, and biventricular hypertrophy.

Movie S3a. Ultrasound imaging of mutant fetus from line b2b2025 shows DORV and presence of a VSD.

Vevo2100 color flow imaging in coronal view of fetus in Figure 1e-k showed aorta and pulmonary artery side-by side, both emerging from the right ventricle (RV) indicating DORV, and a shunting of blood between the two ventricles indicating ventricular septal defect (VSD).

Movie S3b. Ultrasound imaging of mutant fetus from line b2b2025 shows AVSD and muscular VSD.

Vevo 2100 color flow imaging in transverse view of fetus in Figure 1e-k detected forward blood flow and regurgitation from a common atrioventricular valve suggesting atrioventricular septal defect. Also observed was a muscular ventricular septal defect.

Movie S3c. Ultrasound imaging of mutant fetus from line b2b2025 shows heterotaxy.

Vevo2100 2D imaging in coronal view of fetus in Figure 1e-k detected heart apex pointing to left suggesting levocardia, but stomach (Stom) located on right, which together indicated this fetus has heterotaxy.

Movie S4. Videomicroscopy of ciliary motion of tracheal epithelia of newborn Foxj1 mutant mice.

Tracheal airway epithelium in a newborn homozygous Foxj1b2b774 mutant mouse shows normal ciliary motion.

Movie S5. Videomicroscopy of ciliary motion in embryonic node of Foxj1 mutant embryo. Cilia in the embryonic node of a homozygous Foxj1b2b774 mutant embryo shows dyskinetic ciliary motion and no nodal flow.

Movie S6. Videomicroscopy of ciliary motion in tracheal epithelia of newborn Ap1b1 mutant.

Tracheal airway epithelium in a newborn homozygous Ap1b1b2b1660 mutant mouse shows normal ciliary motion.

Movie S7. Videomicroscopy of ciliary motion in embryonic node of Ap1b1 mutant embryo. Cilia in the embryonic node of a homozygous Ap1b1b2b1660 mutant fetus shows normal ciliary motion and flow.

Supplemental Spread Sheet 1
Supplemental Spreadsheet 4
SupplementalSpreadSheet 2
VideoS1
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VideoS2
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VideoS3a
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VideoS3b
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VideoS3c
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VideoS4
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VideoS6
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VideoS7
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VideoS8
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