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. 2018 Jul 4;39(9):1246–1261. doi: 10.1002/humu.23567

Elucidating the genetic architecture of Adams–Oliver syndrome in a large European cohort

Josephina AN Meester 1, Maja Sukalo 2, Kim C Schröder 2, Denny Schanze 2, Gareth Baynam 3,4,5, Guntram Borck 6, Nuria C Bramswig 7, Duygu Duman 8, Brigitte Gilbert‐Dussardier 9, Muriel Holder‐Espinasse 10, Peter Itin 11, Diana S Johnson 12, Shelagh Joss 13, Hannele Koillinen 14, Fiona McKenzie 15, Jenny Morton 16, Heike Nelle 17, Willie Reardon 18, Claudia Roll 19, Mustafa A Salih 20, Ravi Savarirayan 21, Ingrid Scurr 22, Miranda Splitt 23, Elizabeth Thompson 24,25, Hannah Titheradge 16, Colm P Travers 26, Lionel Van Maldergem 27, Margo Whiteford 28, Dagmar Wieczorek 29, Geert Vandeweyer 1, Richard Trembath 30, Lut Van Laer 1, Bart L Loeys 1, Martin Zenker 2, Laura Southgate 30,31, Wim Wuyts 1,
PMCID: PMC6175364  PMID: 29924900

Abstract

Adams–Oliver syndrome (AOS) is a rare developmental disorder, characterized by scalp aplasia cutis congenita (ACC) and transverse terminal limb defects (TTLD). Autosomal dominant forms of AOS are linked to mutations in ARHGAP31, DLL4, NOTCH1 or RBPJ, while DOCK6 and EOGT underlie autosomal recessive inheritance. Data on the frequency and distribution of mutations in large cohorts are currently limited. The purpose of this study was therefore to comprehensively examine the genetic architecture of AOS in an extensive cohort. Molecular diagnostic screening of 194 AOS/ACC/TTLD probands/families was conducted using next‐generation and/or capillary sequencing analyses. In total, we identified 63 (likely) pathogenic mutations, comprising 56 distinct and 22 novel mutations, providing a molecular diagnosis in 30% of patients. Taken together with previous reports, these findings bring the total number of reported disease variants to 63, with a diagnostic yield of 36% in familial cases. NOTCH1 is the major contributor, underlying 10% of AOS/ACC/TTLD cases, with DLL4 (6%), DOCK6 (6%), ARHGAP31 (3%), EOGT (3%), and RBPJ (2%) representing additional causality in this cohort. We confirm the relevance of genetic screening across the AOS/ACC/TTLD spectrum, highlighting preliminary but important genotype–phenotype correlations. This cohort offers potential for further gene identification to address missing heritability.

Keywords: Adams–Oliver syndrome, genetics, mutation screening, Notch signaling, Rho GTPase

1. INTRODUCTION

Adams–Oliver syndrome (AOS) is a rare developmental disorder characterized by both aplasia cutis congenita (ACC) of the scalp and transverse terminal limb defects (TTLD), including hypoplastic nails, brachydactyly, oligodactyly, and amputation defects (Adams & Oliver, 1945; Snape et al., 2009). Additional abnormalities affect the cardiovascular and neurological systems. Approximately 20% of AOS patients have congenital heart defects, including atrial septal defect (ASD), ventricular septal defect (VSD), tetralogy of Fallot (TOF), as well as valvular and ventricular abnormalities. A similar proportion is affected by vascular anomalies, for example, cutis marmorata telangiectatica congenita (CMTC). Neurological abnormalities occur less frequently and include intracranial abnormalities (e.g., calcification, cortical dysplasia, and gliosis), developmental delay, intellectual disability, epilepsy, and microcephaly (Digilio, Marino, Baban, & Dallapiccola, 2015; Lehman, Wuyts, & Patel, 2016; Snape et al., 2009).

Multiple causative genes have been discovered for AOS over the past few years. Heterozygous mutations in ARHGAP31 (MIM# 100300), RBPJ (MIM# 614814), NOTCH1 (MIM# 616028), or DLL4 (MIM# 616589) have been described in autosomal dominant and sporadic cases, while autosomal recessive forms of AOS may be due to biallelic mutations in DOCK6 (MIM# 614219) or EOGT (MIM# 615297) (Cohen et al., 2014; Hassed et al., 2012; Lehman et al., 2014; Meester et al., 2015; Shaheen et al., 2011, 2013; Southgate et al., 2011, 2015; Stittrich et al., 2014; Sukalo et al., 2015). The NOTCH pathway plays a major role in AOS pathogenesis, with four causal genes (RBPJ, NOTCH1, DLL4, and EOGT) involved in Notch signaling. Specifically, DLL4 is a ligand of the Notch receptors (NOTCH1‐4), while RBPJ is the major transcriptional regulator for Notch signaling, modulated by its transcriptional complex with the Notch intracellular domain, which is cleaved upon activation of the pathway (Bray, 2006). EOGT is an epidermal growth factor (EGF) domain‐specific O‐linked N‐acetylglucosamine transferase and, although its function remains relatively poorly characterized in humans, it has been shown to act on EGF domain–containing proteins, including the Notch receptors in mammals (Sakaidani et al., 2012). By contrast, ARHGAP31 and DOCK6 are not directly linked to Notch signaling, but instead encode regulatory proteins that specifically control the activity of the Rho GTPases RAC1 and CDC42, which are important for the maintenance of the actin cytoskeleton (Southgate et al., 2011).

AOS has an estimated frequency of one affected individual per 225,000 live births (Martinez‐Frias et al., 1996). Due to the rarity of this disorder and relatively recent identification of causal genes, the percentage of AOS cases attributable to each of the established AOS genes in large cohorts remains unclear. Importantly, gaining a better understanding of potential genotype–phenotype correlations in this condition may identify “at‐risk” individuals who have an increased likelihood of developing additional medical complications. Here, we report on the molecular characterization of an extensive cohort of AOS/ACC/TTLD probands and their family members, providing further clarity with regard to the interpretation of identified variants and potential for improved molecular diagnosis and clinical management of these patients.

2. MATERIALS AND METHODS

2.1. Patient cohort

All patients and families were recruited through the European AOS Consortium, and all participants provided informed written consent to participate in the study. The study was approved by the appropriate institutional ethics review boards. Patients were diagnosed according to the diagnostic criteria proposed by Snape et al. (2009). Specifically, the presence of two major criteria (TTLD, ACC, or a documented family history) or one major and one minor feature (CMTC, congenital cardiac defect, or vascular anomaly) was considered strongly indicative of AOS. Patients with ACC or TTLD in the absence of any associated family history of AOS or other syndromic features were classified as isolated ACC or isolated TTLD, respectively. Based on the diagnostic criteria proposed by Lehman et al. (2016), the presence of a (likely) pathogenic variant in an autosomal dominant AOS‐related gene or a biallelic (likely) pathogenic variant in an autosomal recessive AOS‐related gene was also considered a major criterion. A total of 194 families/probands were included in this study; only the proband for each family was used for the calculation of frequencies, yields, and counts. All affected individuals of the family were taken into consideration for description of the clinical features.

2.2. Sequencing

All AOS/ACC/TTLD patients were screened for mutations in the six established genes (ARHGAP31: NM_020754.3; DLL4: NM_019074.3; DOCK6: NM_020812.3; EOGT: NM_001278689.1; NOTCH1: NM_017617.4; RBPJ: NM_005349.3). The majority of the samples were sequenced by targeted next‐generation resequencing (n = 140) using either the HaloPlex Target Enrichment System (Agilent Technologies, Santa Clara, CA) as described previously (Meester et al., 2015), or a TruSeq Custom Amplicon Panel (Illumina, San Diego, CA) followed by sequencing on a MiSeq system (Illumina, San Diego, CA) with 150 bp paired‐end reads. Sequence data obtained from the TruSeq Custom Amplicon Panel were analyzed using Illumina's VariantStudio Data Analysis Software v3.0. GRCh37 was used as the reference human genome build. The remaining patients were screened by either whole‐exome sequencing (WES, n = 28) or Sanger sequencing (n = 26) as previously described (Southgate et al., 2015; Sukalo et al., 2015). ANNOVAR (Wang, Li, & Hakonarson, 2010) dbNSFPv3.0.a (Liu, Jian, & Boerwinkle, 2011) annotation was used for in silico prediction scores, including MutationTaster (Schwarz, Cooper, Schuelke, & Seelow, 2014), SIFT (Kumar, Henikoff, & Ng, 2009), PolyPhen2 hvar (Adzhubei et al., 2010), and CADD (Supporting Information Table S1) (Kircher et al., 2014). Alamut (v2.8.1) was used for in silico splicing predictions, including SpliceSiteFinder‐like, MaxEntScan, NNSPLICE, GeneSplicer, and Human Splicing Finder (Supporting Information Table S2). After identification of a likely pathogenic variant by Sanger sequencing of single genes, no further screening of the remaining AOS genes was performed. All observed mutations were confirmed by conventional Sanger sequencing on an independent sample.

2.3. Variant classification

Variants are classified according to the American College of Medical Genetics (ACMG) guidelines (Richards et al., 2015). However, we have used a few additional gene‐specific criteria, in consideration of the pathogenic mechanisms involved in AOS. First, all protein‐truncating mutations in the last exon of ARGHAP31 were classified as pathogenic due to gain‐of‐function, in accordance with the previously reported mechanism in this gene (Southgate et al., 2011). Second, cysteine substitutions within EGF domains of DLL4 or NOTCH1 were considered to have strong evidence of pathogenicity, similar to null variants (Dietz, Saraiva, Pyeritz, Cutting, & Francomano, 1992; Schrijver, Liu, Brenn, Furthmayr, & Francke, 1999). Third, recurrent missense mutations affecting the same amino acid in independent cases were classified as pathogenic due to multiple occurrences. Lastly, in families where ≥3 individuals were available for screening, any variant with a penetrance less than 60% was classified as a variant of uncertain significance (VUS).

3. RESULTS

The analyzed cohort comprised 194 distinct AOS/ACC/TTLD familial or sporadic cases. Of these, 36 families were consistent with an autosomal recessive mode of inheritance, based on pedigree data or known consanguinity, while autosomal dominant inheritance was the most likely inheritance pattern in 55 families (Figure 1A). The remaining 103 probands were categorized as sporadic in the absence of any family history or known consanguinity. We provide a causal molecular explanation for the phenotype in 58/194 (30%) of AOS/ACC/TTLD probands (Table 1). Among the 63 pathogenic (or likely pathogenic) mutations in this study, 56 were distinct, or nonrecurrent, mutations and 22 mutations have not been reported to date (Supporting Information Figure S1). In addition, we identified several VUS (n = 14, Supporting Information Table S3 and Supporting Information Figure S1). The data on novel variants have now been made available in the ClinVar database (https://www.ncbi.nlm.nih.gov/clinvar).

Figure 1.

Figure 1

Genetic architecture of AOS. (a) Distribution of inheritance pattern across our AOS cohort. AD, autosomal dominant; AR, autosomal recessive. (b) Contribution of mutations in each of the six known genes to the development of AOS in the complete cohort and in familial cases only. For each cohort, charts depict the gene distribution excluding VUS and when all VUS are considered as pathogenic, respectively. (c) Distribution of mutation categories across established AOS genes. (d) Representation of previously reported and novel pathogenic mutations in NOTCH1. Mutations identified in this study that were previously reported in AOS patients are represented on the upper part of the figure. Novel mutations are arrayed below the schematic. EGF 11–13 highlights the ligand‐binding domain. Pathogenic mutations are depicted in black and VUS in red. ECD, Extracellular domain; ICD, Intracellular domain; EGF‐like, epidermal growth factor‐like domain; cbEGF‐like, calcium‐binding epidermal growth factor‐like domain; LNR, Lin‐12/Notch repeat; TM, transmembrane domain; RAM, RBP‐Jkappa‐associated module; ANK, ankyrin; TAD, transcriptional activation domain and PEST, proline (P), glutamic acid (E), serine (S), and threonine (T)‐rich peptide sequence.

Table 1.

Identified pathogenic mutations in six established AOS genes

Fam ID Gene Zygosity Nucleotide changea Amino acid change Type of mutation Pathogenicity class Mutation previously reported Reference of familyb
Pedigrees suggestive of autosomal recessive inheritance:
4 DOCK6 Homozygous c.484G > T p.Glu162* Nonsense Pathogenic c Sukalo et al., 2015 (Family 8)
6 DOCK6 Homozygous c.1296_1297delinsT p.Gln434Argfs*21 Frameshift Pathogenic c Sukalo et al., 2015 (Family 3)
8 DOCK6 Homozygous c.2520dupT p.Arg841Serfs*6 Frameshift Pathogenic c, d Sukalo et al., 2015 (Family 10)
9 DOCK6 Homozygous c.3047T > C p.Leu1016Pro Missense Likely pathogenic c Sukalo et al., 2015 (Family 1)
10 DOCK6 Homozygous c.3154G > A p.Glu1052Lys Missense Likely pathogenic c Sukalo et al., 2015 (Family 5); Prothero et al., 2007
11 DOCK6 Homozygous c.4786C > T p.Arg1596Trp Missense Likely pathogenic c Sukalo et al., 2015 (Family 4)
13 DOCK6 Homozygous c.5235+205_6102‐15delinsCATGGGGCTG 4.3 kb deletion Deletion Pathogenic c Sukalo et al., 2015 (Family 9)
5 DOCK6 Compound heterozygous c.788T > A p.Val263Asp Missense Likely pathogenic c Sukalo et al., 2015 (Family 6); Orstavik et al., 1995
c.5939+2T > C p.? Splicing Pathogenic
7 DOCK6 Compound heterozygous c.1902_1905delGTTC p.Phe635Profs*32 Frameshift Pathogenic c Sukalo et al., 2015 (Family 7)
c.4106+5G > T p.? Splicing Likely pathogenic
1 EOGT Homozygous c.311+1G > T p.? Splicing Pathogenic Novel mutation
2 EOGT Homozygous c.404G > A p.Cys135Tyr Missense Pathogenic Novel mutation
3 EOGT Homozygous c.1130G > A p.Arg377Gln Missense Likely pathogenic d Temtamy et al., 2007 (Family 2)
59 EOGT Compound heterozygous c.78_81delTCAC p.His27Alafs*46 Frameshift Pathogenic Novel mutation Verdyck et al., 2003 (Family 4)
c.1335‐1G > A p.? Splicing Pathogenic Novel mutation
Pedigrees suggestive of autosomal dominant inheritance:
40 ARHGAP31 Heterozygous c.2047C > T p.Gln683* Nonsense Pathogenic c Southgate et al., 2011 (Family AOS‐12); Bonafede & Beighton, 1979
41 ARHGAP31 Heterozygous c.2047C > T p.Gln683* Nonsense Pathogenic d
42 ARHGAP31 Heterozygous c.2063_2064insTT p.Ser689* Nonsense Pathogenic c Isrie et al., 2014
43 ARHGAP31 Heterozygous c.3260delA p.Lys1087Serfs*4 Frameshift Pathogenic c Southgate et al., 2011 (Family AOS‐5); Verdyck et al., 2006
55 DLL4 Heterozygous c.556C > T p.Arg186Cys Missense Likely pathogenic c Meester et al., 2015 (Family 6)
56 DLL4 Heterozygous c.1168T > C p.Cys390Arg Missense Pathogenic c Meester et al., 2015 (Family 5)
57 DLL4 Heterozygous c.1365C > G p.Cys455Trp Missense Pathogenic c Meester et al., 2015 (Family 3)
58 DLL4 Heterozygous c.1660C > T p.Gln554* Nonsense Pathogenic c Meester et al., 2015 (Family 1)
181 DLL4 Heterozygous c.1825C > T p.Gln609* Nonsense Pathogenic Novel mutation; de novo
14 NOTCH1 Heterozygous c.415C > T p.Gln139* Nonsense Pathogenic Novel mutation
46 NOTCH1 Heterozygous c.794_797delinsCC p.Asn265Thrfs*65 Frameshift Pathogenic Novel mutation
47 NOTCH1 Heterozygous c.1649dupA p.Tyr550* Nonsense Pathogenic c Southgate et al., 2015 (Family 1), Verdyck et al., 2003 (Family 2)
48 NOTCH1 Heterozygous c.1935_1936delTG p.Ala646Glnfs*21 Frameshift Pathogenic Novel mutation Savarirayan et al., 1999
50 NOTCH1 Heterozygous c.4120T > C p.Cys1374Arg Missense Pathogenic c Southgate et al., 2015 (Family 3)
52 NOTCH1 Heterozygous c.4663G > T p.Glu1555* Nonsense Pathogenic c Southgate et al., 2015 (Family 4)
54 NOTCH1 Heterozygous c.6049_6050delTC p.Ser2017Thrfs*9 Frameshift Pathogenic c Southgate et al., 2015 (Family 2); Dallapiccola et al. 1992 (Patient 2)
44 RBPJ Heterozygous c.193A > G p.Arg65Gly Missense Likely pathogenic Novel mutation
175 RBPJ Heterozygous c.196T > G p.Phe66Val Missense Likely pathogenic Novel mutation
45 RBPJ Heterozygous c.505A > G p.Lys169Glu Missense Pathogenic d
178 RBPJ Heterozygous c.996C > A p.Ser332Arg Missense Likely pathogenic Novel mutation
Sporadic probands:
17 ARHGAP31 Heterozygous c.2047C > T p.Gln683* Nonsense Pathogenic d
18 ARHGAP31 Heterozygous c.2182C > T p.Gln728* Nonsense Pathogenic Novel mutation
30 DLL4 Heterozygous c.361G > C p.Ala121Pro Missense Likely pathogenic c; de novo Meester et al., 2015 (Family 8)
31 DLL4 Heterozygous c.572G > A p.Arg191His Missense Likely pathogenic d
32 DLL4 Heterozygous c.583T > C p.Phe195Leu Missense Likely pathogenic c Meester et al., 2015 (Family 9)
182 DLL4 Heterozygous c.949A > C p.Thr317Pro Missense Likely pathogenic Novel mutation; de novo
34 DLL4 Heterozygous c.1169G > A p.Cys390Tyr Missense Pathogenic c Meester et al., 2015 (Family 4)
196 DLL4 Heterozygous c.1310G > C p.Cys437Ser Missense Pathogenic Novel mutation
35 DLL4 Heterozygous c.1397G > A p.Cys466Tyr Missense Pathogenic Novel mutation; de novo
36 DOCK6 Compound heterozygous c.484G > T p.Glu162* Nonsense Pathogenic d Romani et al., 1998
c.1362_1365delAACT p.Thr455Serfs*24 Frameshift Pathogenic d, d
37 DOCK6 Compound heterozygous c.1362_1365delAACT p.Thr455Serfs*24 Frameshift Pathogenic c, d Sukalo et al., 2015 (Family 2)
c.4491+1G > A p.? Splicing Pathogenic c
38 EOGT Homozygous c.78_81delTCAC p.His27Alafs*46 Frameshift Pathogenic Novel mutation
39 EOGT Homozygous c.78_81delTCAC p.His27Alafs*46 Frameshift Pathogenic Novel mutation
22 NOTCH1 Heterozygous c.1343G > A p.Arg448Gln Missense Pathogenic c; de novo Southgate et al., 2015 (Family 5)
23 NOTCH1 Heterozygous c.1343G > A p.Arg448Gln Missense Pathogenic c Southgate et al., 2015 (Family 11); Girard et al., 2005 (Patient 2)
24 NOTCH1 Heterozygous c.1345T > C p.Cys449Arg Missense Pathogenic c; de novo Southgate et al., 2015 (Family 6)
25 NOTCH1 Heterozygous c.1367G > A p.Cys456Tyr Missense Pathogenic c; de novo Southgate et al., 2015 (Family 10); Girard et al., 2005 (Patient 1)
21 NOTCH1 Heterozygous c.1393G > A p.Ala465Thr Missense Likely pathogenic Novel mutation
26 NOTCH1 Heterozygous c.1669+5G > A p.? Splicing e Pathogenic Novel mutation
27 NOTCH1 Heterozygous c.2380G > T p.Glu794* Nonsense Pathogenic Novel mutation
15 NOTCH1 Heterozygous c.2704C > T p.Arg902Cys Missense Pathogenic Novel mutation
49 NOTCH1 Heterozygous c.3281G > A p.Cys1094Tyr Missense Pathogenic Novel mutation
198 NOTCH1 Heterozygous c.4222G > T p.Glu1408* Nonsense Pathogenic Novel mutation; de novo
183 NOTCH1 Heterozygous c.4549G > A p.Asp1517Asn Missense Likely pathogenic Novel mutation; de novo Verdyck et al., 2003 (Family 8)
28 NOTCH1 Heterozygous c.4739dup p.Met1580Ilefs*30 Frameshift Pathogenic c Southgate et al., 2015 (Family 8)
a

GenBank reference sequence and version number for ARHGAP31: NM_020754.3; DLL4: NM_019074.3; DOCK6: NM_020812.3; EOGT: NM_001278689.1; NOTCH1: NM_017617.4; RBPJ: NM_005349.3; numbering is from +1 as A of the ATG initiation codon.

b

This column refers to medical case reports in which clinical features observed in specific families are described.

c

Mutation was found in the same family as described in this publication.

d

Mutation published previously in a different family.

e

Exon skipping was verified at the RNA level.

We observed a causal mutation in 13 of the 36 families (36%) with likely autosomal recessive inheritance. These include homozygous mutations in EOGT (n = 3) and DOCK6 (n = 7), and compound heterozygous mutations (EOGT, n = 1; DOCK6, n = 2). One additional case harbored a heterozygous VUS in DOCK6, but we did not detect a variant on the second allele (Supporting Information Table S3). The remaining 22 recessive families remain unresolved after analyzing all currently known AOS genes.

In the autosomal dominant cohort, 36% (20/55) of AOS cases were directly attributable to the established AOS genes with pathogenic mutations observed in ARHGAP31 (n = 4), DLL4 (n = 5), NOTCH1 (n = 7), and RBPJ (n = 4) (Table 1). Furthermore, we observed four VUS in NOTCH1 (Supporting Information Table S3). In one proband (Family 16), two NOTCH1 missense variants were detected (p.Trp2034Arg and p.Ala2043Val). Both variants were confirmed to exist on the same allele, due to co‐occurrence in the same next‐generation sequencing read. These variants were not present in the healthy mother and sister. Due to the unavailability of paternal DNA, we were unable to determine whether either of these variants had occurred de novo.

In our cohort of 103 sporadic cases, the frequency of identified likely pathogenic mutations was 24%. We detected heterozygous mutations in ARHGAP31 (n = 2), DLL4 (n = 7), and NOTCH1 (n = 12), in addition to compound heterozygous DOCK6 mutations (n = 2) and homozygous EOGT mutations (n = 2) (Table 1). Additionally, we observed several VUS in NOTCH1 (n = 6), DLL4 (n = 3), and DOCK6 (n = 1) (Supporting Information Table S3).

Taken together, mutations in the six established AOS genes underlie less than one third of the AOS/ACC/TTLD probands in our total cohort (Figure 1B). NOTCH1 is the major contributor to the AOS phenotype, both in familial and sporadic disease, harboring 10% of the mutational load in our study. Mutations in DLL4 and DOCK6 each represent 6% of the cases while ARHGAP31, EOGT, and RBPJ mutations account for only small proportions, underlying 3%, 3%, and 2% of cases, respectively. Among familial cases we observed an elevated mutation detection rate of 36% overall (Figure 1B). NOTCH1, DLL4, EOGT, and DOCK6 harbored deleterious variation across the major mutational categories, including insertion–deletion, nonsense, splicing, and missense variants (Figure 1C). By contrast, mutations observed in ARHGAP31 comprised protein‐truncating mutations confined to the last exon, while all RBPJ mutations result in amino acid substitutions within a conserved DNA‐binding domain (Figure 1C).

An analysis of clinical features in our cohort determined that 96% of the mutation‐positive cases had scalp defects (with or without underlying skull defect), while TTLD was observed in 78% of mutation‐positive cases (Table 2). Assessment of potential genotype–phenotype correlations revealed wide variability in TTLD characteristics both within and between families. Brachydactyly and hypoplastic digits or nails were observed most frequently. ACC also demonstrated wide phenotypic variability, ranging from small patches of skin lacking hair to complete absence of skin with underlying skull defect. However, there did not appear to be any gene‐specific correlation with observed limb or scalp defects.

Table 2.

Phenotype of mutation‐positive AOS patients

Fam ID Gene ACC (HP:0007385) TTLD Cardiac features (HPO id) Vascular features (HPO id) Other (HPO id) Reference of familya
Pedigrees suggestive of autosomal recessive inheritance:
4 DOCK6 + + ? ? ? Sukalo et al., 2015 (Family 8)
6 DOCK6 + + ? CMTC (HP:0000965) IUGR (HP:0001511), brain abnormalities (HP:0000707), microcephaly (HP:0000252), ocular anomalies (HP:0000478), cognitive impairment (HP:0100543), epilepsy (HP:0001250), cerebral palsy (HP:0100021), abdominal skin defect Sukalo et al., 2015 (Family 3)
8 DOCK6 + + ? ? Microcephaly (HP:0000252), ventricular dilatation/brain atrophy (HP:0002119; HP:0012444), corpus callosum hypoplasia/atrophy (HP:0007370), periventricular lesions (HP:0002518) Sukalo et al., 2015 (Family 10)
9 DOCK6 + + ? Microcephaly (HP:0000252), ocular anomalies (HP:0000478), developmental delay (HP:0001263), epilepsy (HP:0001250), high palate (HP:0000218) Sukalo et al., 2015 (Family 1)
10 DOCK6 + + ? IUGR (HP:0001511), microcephaly (HP:0000252), brain abnormalities (HP:0000707), ocular anomalies (HP:0000478), cognitive impairment (HP:0100543), epilepsy (HP:0001250), cryptorchidism (HP:0000028) Sukalo et al., 2015 (Family 5); Prothero et al., 2007
11 DOCK6 + + PDA (HP:0001643) ? Brain abnormalities (HP:0000707), microcephaly (HP:0000252), ocular anomalies (HP:0000478), knee dislocation (HP:0004976) Sukalo et al., 2015 (Family 4)
13 DOCK6 + + ? ? Periventricular lesions (HP:0002518) Sukalo et al., 2015 (Family 9)
5 DOCK6 + + VSD (HP:0001629) ? IUGR (HP:0001511), microcephaly (HP:0000252), brain abnormalities (HP:0000707), ocular anomalies (HP:0000478), cognitive impairment (HP:0100543), epilepsy (HP:0001250), cerebral palsy (HP:0100021), abdominal skin defects, patella defects (HP:0003045) Sukalo et al., 2015 (Family 6); Orstavik et al., 1995
7 DOCK6 + + TAPVD (HP:0005160) ? IUGR (HP:0001511), microcephaly (HP:0000252), brain abnormalities (HP:0000707), ocular anomalies (HP:0000478), cognitive impairment (HP:0100543), epilepsy (HP:0001250), abdominal skin defect, hypothyroidism (HP:0000821) Sukalo et al., 2015 (Family 7)
1 EOGT + + ? CMTC (HP:0000965) No other features; normal intelligence
2 EOGT + ? ? ?
3 EOGT + + CMTC (HP:0000965) Temtamy et al., 2007 (Family 2)
59 EOGT + + ? ? Cryptorchidism (HP:0000028) and small penis (HP:0000054), severe developmental delay (HP:0001263) Verdyck et al., 2003 (Family 4)
Pedigrees suggestive of autosomal dominant inheritance:
40 ARHGAP31 + + ? Southgate et al., 2011 (Family AOS‐12); Bonafede & Beighton, 1979
41 ARHGAP31 ? ? ? ? ?
42 ARGHAP31 + Isrie et al., 2014
43 ARHGAP31 + + ? Southgate et al., 2011 (Family AOS‐5); Verdyck et al., 2006
55 DLL4 + ? ? Meester et al., 2015 (Family 6)
56 DLL4 + + ? CMTC (HP:0000965), portal hypertension (HP:0001409), esophageal varices (HP:0002040) Epilepsy (HP:0001250), learning difficulties, mild periventricular leukomalacia (HP:0006970), splenomegaly (HP:0001744), congenital liver fibrosis (HP:0002612) Meester et al., 2015 (Family 5)
57 DLL4 + ? ? ? Meester et al., 2015 (Family 3)
58 DLL4 + + VSD (HP:0001629), tricuspid valve insufficiency (HP:0005180) ? ? Meester et al., 2015 (Family 1)
181 DLL4 + + ? CMTC (HP:0000965) ?
14 NOTCH1 + + Aortic stenosis (HP:0001650) ? ?
46 NOTCH1 + ? ? ?
47 NOTCH1 + + Aortic and pulmonary valve abnormalities (HP:0001646; HP:0001641) CMTC (HP:0000965) Southgate et al., 2015 (Family 1), Verdyck et al., 2003 (Family 2)
48 NOTCH1 + + Pulmonic stenosis (HP:0001642) ? IUGR (HP:0001511), hypoplastic mandible (HP:0000347), cerebral cortical dysplasia (brain abnormalities) (HP:0000707) Savarirayan et al., 1999
50 NOTCH1 + + ? CMTC (HP:0000965) Southgate et al., 2015 (Family 3)
52 NOTCH1 + + Aortic stenosis (HP:0001650), CoA (HP:0001680), Parachute mitral valve (HP:0011571), VSD (HP:0001629) ? Long palpebral fissures (HP:0000637) Southgate et al., 2015 (Family 4)
54 NOTCH1 + CoA (HP:0001680), BAV (HP:0001647), parachute mitral valve (nonstenotic with mild regurgitation) (HP:0011571) ? Southgate et al., 2015 (Family 2); Dallapiccola et al. 1992 (Patient 2)
44 RBPJ + + TOF (HP:0001636) CMTC (HP:0000965), pulmonary branch stenosis Brain abnormalities (HP:0000707)
175 RBPJ + Severe and complex malformative cardiopathy (HP:0001627) ? Digestive malrotation (HP:0002566)
45 RBPJ + + ? ? Microcephaly (HP:0000252), hip dislocation (HP:0002827)
178 RBPJ + + Secundum ASD (HP:0001631) and partial anomalous pulmonary venous drainage (HP:0010773)
Sporadic probands:
17 ARHGAP31 ? ? ? ? ?
18 ARHGAP31 + + ? ?
30 DLL4 + + Truncus arteriosus (HP:0001660), VSD (HP:0001629) ? Growth hormone deficiency (HP:0000824) Meester et al., 2015 (Family 8)
31 DLL4 + + ? Died from bleeding left sinus transversus ?
32 DLL4 + ? ? ? Meester et al., 2015 (Family 9)
182 DLL4 + + TOF (HP:0001636), absent pulmonary valve (HP:0005134) Mild CMTC on thorax (HP:0000965), esophageal varices (HP:0002040), absent portal vein with portal hypertension (HP:0001409) ?
34 DLL4 + ? ? ? Meester et al., 2015 (Family 4)
196 DLL4 + + TOF (HP:0001636) ? Preterm birth (HP:0001622), cystic leukomalacia, bilateral hypoplasia of optic nerves (HP:0000609), secondary microcephaly (HP:0005484), died from multiorgan failure after heart surgery
35 DLL4 + Long QT (HP:0001657) ? Club feet (HP:0001762), brain abnormalities (leukomalacia), microcephaly (HP:0000252), cognitive impairment (HP:0100543)
36 DOCK6 + + ? IUGR (HP:0001511), brain abnormalities (HP:0000707), spasticity (HP:0001257), visual deficit (HP:0000505), intracranial calcifications (HP:0005671), global dilatation of ventricular system (HP:0002119) Romani et al., 1998
37 DOCK6 + + ? CMTC (HP:0000965), single umbilical artery (HP:0001195) Brain abnormalities (HP:0000707), microcephaly (HP:0000252), ocular anomalies (HP:0000478), cognitive impairment (HP:0100543), epilepsy (HP:0001250), cerebral palsy (HP:0100021), cryptorchidism (HP:0000028) Sukalo et al., 2015 (Family 2)
38 EOGT + ? ? ?
39 EOGT + ? ? ?
22 NOTCH1 + VSD (HP:0001629), pulmonary atresia (HP:0004935), right MBTS, Rastelli correction Portal vein thrombosis, portal hypertension (HP:0001409) Cognitive impairment (HP:0100543), T‐cell lymphopenia (HP:0001888), complex learning disability, autism (HP:0000717) Southgate et al., 2015 (Family 5)
23 NOTCH1 + + ? Large hepatofugal coronary vein, tiny hepatoportal cavernoma, portal hypertension (HP:0001409) Obliterative portal venopathy, hepatosplenomegaly (HP:0001433) Southgate et al., 2015 (Family 11); Girard et al., 2005 (Patient 2)
24 NOTCH1 + + PTA (HP:0001660), VSD (HP:0001629) ? Southgate et al., 2015 (Family 6)
25 NOTCH1 + + ASD (HP:0001631) CMTC (HP:0000965), hepatopetal and hepatofugal collateral veins, portal hypertension (HP:0001409) Obliterative portal venopathy, hepatosplenomegaly (HP:0001433) Southgate et al., 2015 (Family 10); Girard et al., 2005 (Patient 1)
21 NOTCH1 + + ? CMTC (HP:0000965), missing portal vein
26 NOTCH1 + + VSD (HP:0001629) CMTC (HP:0000965)
27 NOTCH1 + + ? Sinus sagittalis thrombosis ?
15 NOTCH1 ? ? ? ? ?
49 NOTCH1 + + CMTC (HP:0000965)
198 NOTCH1 + CMTC (HP:0000965) Normal brain
183 NOTCH1 + + ? Full body CT normal, brain scan normal. Mildly delayed motor skills (HP:0002194)—walked at 15 months, slow speech—otherwise normal development Verdyck et al., 2003 (Family 8)
28 NOTCH1 + +  − CMTC (HP:0000965) Epilepsy (HP:0001250), dyslexia (HP:0010522) Southgate et al., 2015 (Family 8)

ACC, aplasia cutis congenita; AS, aortic stenosis; ASD, atrial septal defect; AV, aortic valve; CHD, congenital heart defect; CMTC, cutis marmorata telangiectatica congenita; CoA, coarctation of the aorta; CT, Computed Tomography; IUGR, intrauterine growth restriction; MBTS, modified Blalock‐Taussig shunt; MV, mitral valve; PH, portal hypertension; PDA, patent ductus arteriosus; PTA, persistent truncus arteriosus; PV, pulmonary valve; TAPVD, total anomalous pulmonary venous drainage; TOF, Tetralogy of Fallot; TTLD, terminal transverse limb defects; TVI, tricuspid valve insufficiency; VSD, ventricular septal defect; ?, unknown; −, absent; +, present

a

This column refers to medical case reports in which clinical features observed in specific families are described.

We observed a wide variety of associated cardiac features, including ASD, VSD, patent ductus arteriosus, aortic stenosis, truncus arteriosus, TOF, and valve abnormalities. Of note, cardiac features were more frequently observed in patients with a mutation in DLL4, NOTCH1, or RBPJ (≥49% vs. ≥13%, Table 2). However, in the absence of detailed cardiac examinations for all variant carriers, it was not possible to determine firm genotype–phenotype correlations based on these data. CMTC was reported in 29% of mutation‐positive patients, while other observed vascular features included defects of pulmonary or portal vasculature, abnormal branching of the carotid artery, and sinus sagittalis thrombosis (Table 2). In DOCK6‐positive cases, we observed a positive correlation with the presence of brain abnormalities and/or intellectual disability, as previously described (≥91% vs. ≥19%, Table 2) (Sukalo et al., 2015).

4. DISCUSSION

Here, we have examined the genetic contribution to AOS and isolated ACC/TTLD in our extensive cohort of families ascertained through the European AOS Consortium. With the discovery of 63 mutations in the six previously established genes, including 56 distinct and 22 novel mutations, our study provides independent confirmation of a substantial role for ARHGAP31, DLL4, DOCK6, EOGT, NOTCH1, and RBPJ in AOS pathogenesis. This combined mutation screening strategy represents the largest cohort of AOS patients reported to date and, while some of the cases detailed here have been previously published in cohorts used for novel gene identification (Table 1), this comprehensive review and mutation update provides unique insight into the distribution and frequency of mutations across the wider spectrum of AOS‐related disorders. The majority of identified mutations (n = 41; 71%) affect genes within the Notch pathway and are therefore predicted to lead to dysregulated Notch signaling, likely through haploinsufficiency or loss‐of‐function (LOF) of NOTCH1, DLL4, RBPJ, or EOGT. A smaller proportion (n = 17; 29%) affects the Rho GTPase regulators ARHGAP31 and DOCK6, which specifically influence the activity of RAC1 and CDC42.

4.1. Autosomal dominant AOS

Consistent with previous reports, our data confirm that NOTCH1 is the major contributor to the genetic basis of autosomal dominant AOS/ACC/TTLD (Stittrich et al., 2014). In addition to 9 previously reported variants (Supporting Information Table S4) (Southgate et al., 2015), we identified 10 novel mutations and nine VUS in the NOTCH1 gene (Figure 1D; Supporting Information Table S3). Protein‐truncating variants are distributed across the length of the receptor and are predicted to lead to nonsense‐mediated decay (NMD) of the mutant mRNA transcript. In contrast, and as discussed previously (Southgate et al., 2015), we observed a clustering of missense NOTCH1 mutations around EGF‐like domains 11–13, critical for ligand binding to the receptor (Hambleton et al., 2004; Luca et al., 2015). Here, we describe one novel missense mutation (p.Ala465Thr) within EGF12, which has been reported in ClinVar as likely pathogenic for an unspecified condition. We also identified a novel splice‐site mutation (c.1669+5G > A), confirmed by cDNA sequencing to lead to in‐frame skipping of exon 10, encoding residues within EGF13–14 (Supporting Information Figure S2 and Supporting Information Table S2). This variant has a minor allele frequency (MAF) of 4 × 10−6 in the gnomAD control database (https://gnomad.broadinstitute.org/; V.r2.0.2). The identification of these mutations in our AOS cohort provides further confirmation of the importance of this ligand‐binding region for normal human development. We also describe five cysteine‐replacing or ‐creating mutations within other EGF‐like repeat domains, of which two (p.Arg902Cys and p.Cys1094Tyr) are novel. Cysteine residues within this region form essential disulfide bonds (Dietz et al., 1992; Schrijver et al., 1999), suggesting that these mutations will most likely disrupt the tertiary structure of these domains. A number of additional missense variants were classified as VUS due to the lack of familial segregation data. Of note, the proband in Family 16 harbored two missense variants within the highly conserved ANK4 protein domain, essential for RBPJ binding (Aster et al., 2000). Taken with reports of RBPJ LOF in AOS, these findings provide a strong indication that one of these two variants is likely pathogenic.

We observed four novel mutations in DLL4, the majority of which are missense, including two cysteine substitutions (p.Cys437Ser and p.Cys466Tyr) and a substitution in EGF‐like domain 3 (p.Thr317Pro). We additionally identified a novel nonsense mutation (p.Gln609*) and a c.572G > A (p.Arg191His) missense mutation, recently reported in a Japanese family (Nagasaka et al., 2017). The Arg191 residue is a highly conserved residue in the DSL domain of DLL4, which stabilizes receptor–ligand binding with the NOTCH1 EGF12 domain (Luca et al., 2015). The VUS identified in DLL4 include one missense variant (p.Pro267Thr), which has been reclassified here according to ACMG guidelines (Richards et al., 2015), an in‐frame deletion (p.Phe89delCTT), and a potential splice‐site variant (c.1240+5G > C) (Supporting Information Table S2). The observed spectrum of DLL4 variation, including those identified previously (Supporting Information Table S4), suggests that LOF is the likely molecular mechanism in DLL4‐positive AOS; however, this remains to be experimentally verified.

In accordance with the previous report of RBPJ substitutions within critical DNA‐binding domains (Supporting Information Table S4) (Hassed et al., 2012), we identified four DNA‐binding domain missense mutations in RBPJ, one of which (p.Lys169Glu) is recurrent, providing further evidence for LOF of this transcription factor in AOS pathogenesis. RBPJ is highly intolerant to variation, with no LOF and few missense variants observed in ExAC (https://exac.broadinstitute.org; V.0.3.1). We detected two novel substitutions within critical DNA‐binding domains. The p.Arg65Gly mutation in Family 44 affects an amino acid residue that has previously been demonstrated to bind directly to DNA (Hassed et al., 2012), while the p.Phe66Val substitution (Family 175) is considered likely pathogenic due to its position, evolutionary conservation and familial segregation. In this family, a NOTCH1 variant (p.Arg1758Gly) was observed to cosegregate with disease, but was classified as a VUS due to poor conservation and its presence in control databases (MAF in gnomAD = 0.00014). We additionally identified a novel p.Ser332Arg missense substitution in Family 178 (Supporting Information Table S1). Due to ambiguity around the exact location of RBPJ domain predictions, it is unclear whether this substitution is located within the beta‐trefoil DNA‐binding domain; however, all RBPJ variants are consistent with a LOF disease mechanism due to likely abrogation of DNA binding.

Pathogenic mutations in ARHGAP31 reported to date (Supporting Information Table S4) are all located within the terminal exon 12, leading to premature termination of the translated protein (Isrie, Wuyts, Van Esch, & Devriendt, 2014; Southgate et al., 2011). Mutation screening of ARHGAP31 in our cohort identified four heterozygous protein‐truncating mutations within exon 12. In addition to one novel nonsense mutation (p.Gln728*), we detected a recurrent p.Gln683* mutation in three unrelated cases, highlighting terminal exon termination mutations as a consistent feature of this gene in AOS. Microsatellite genotyping to assess potential shared haplotypes at this locus was inconclusive (data not shown). Previous analysis of the p.Gln683* mutation has demonstrated the mutant transcript escapes NMD, consistent with truncating mutations downstream of the final splice junction (Bonafede & Beighton, 1979), leading to the production of a constitutively active protein and disruption of the actin cytoskeleton due to active CDC42 depletion (Southgate et al., 2011). We therefore hypothesize that other C‐terminal protein‐truncating mutations of ARHGAP31 will lead to a gain of protein function through a similar mechanism of NMD escape.

4.2. Autosomal recessive AOS

In our autosomal recessive cohort, mutation analysis of the EOGT gene revealed five distinct mutations across six families. All variants have a very low frequency in gnomAD (maximum MAF = 0.00002) and, with the exception of one family, were present in the homozygous state. In two Dutch families (Family 38 and 39), we observed an identical novel homozygous frameshift mutation (p.His27Alafs*46). Although present in the heterozygous state in gnomAD (MAF = 0.00005), no homozygous genotypes were observed in European control populations. In a third family from the United Kingdom (Family 59), this mutation was present in compound heterozygosity with a second causative variant. While we were unable to formally evaluate relatedness between these families, it is notable that a recurrent EOGT mutation exists within distinct European populations.

We identified a total of 13 distinct DOCK6 mutations and two VUS in DOCK6, all of which have been previously reported by our consortium (Supporting Information Table S4) (Sukalo et al., 2015). As expected, all homozygous mutations were present in families with close parental relatedness. In our cohort of compound heterozygous mutations, four variants (c.484G > T, c.788T > A, c.1902_1905delGTTC, and c.4106+5G > T) are unique to this consortium, while three variants have a low MAF in gnomAD (c.5939+2T > C; 0.00021, c.1362_1365del; 0.00004, and c.4491+1G > A; 0.00003). In two families, we only observed a single heterozygous low frequency variant. Identification of a second mutation, for example, within the noncoding region at a cryptic intronic splice site, enhancer/repressor region, or promoter region, could provide a molecular diagnosis in a limited set of patients.

Of interest, a few consanguineous families remain genetically unresolved after analyzing the coding region of the six established AOS genes. Due to the methodology used, we were unable to detect larger structural variation in these genes, which may explain a proportion of the missing heritability in AOS. Of note, linkage analysis in one consanguineous family demonstrated autozygosity across the EOGT locus but no coding mutation was identified in this gene. In several other families, genome‐wide autozygosity mapping analysis has indicated the likely existence of other disease loci that require further investigation. These data strongly suggest that there are still more genes to be discovered in AOS/ACC/TTLD.

4.3. Genetic architecture

A comparison of the proportion of AOS cases attributable to each particular gene observed in our current study (Figure 1B) against those previously published (Lehman et al., 2016) reveals a number of key differences. Specifically, we observed a lower frequency of mutations for all genes in our cohort. Our results indicate an overall diagnostic yield of 30%, compared to the previous report that 50%–60% of AOS cases are explained by mutations in the six established genes. This may be due to previous estimates being largely based on single reports of novel gene identification, which typically utilize highly stratified discovery cohorts that are both clinically homogeneous and mutation negative for previously characterized genes. The latter would therefore lead to an overestimation of the number of identified mutations. Of note, our cohort contains a significant number of cases and families with isolated ACC or TTLD. Given recent observations of a wide phenotypic spectrum in AOS mutation carriers, the updated diagnostic criteria proposed in 2016 (Lehman et al., 2016), which account for the presence of a pathogenic mutation in an established gene, may be more valid, leading to reclassification of nine ACC cases and one TTLD case as AOS in our cohort (data not shown). While the removal of isolated ACC/TTLD cases from our cohort does not significantly alter the diagnostic yield, it is notable that the mutation‐negative sporadic cohort contains predominantly isolated ACC cases (n = 27). Additionally, although we have used robust diagnostic methodologies, it is possible that our cohort may contain some cases with other genetic or nongenetic conditions.

An alternative explanation for the difference in mutation frequency between the two reports is the use of more stringent criteria for classification of identified variants in our study. We classify several variants as VUS, due to strict adherence to the ACMG guidelines. However, functional evaluation or familial segregation analyses may alter these classifications. For example, the NOTCH1 p.Asp1989Asn variant has previously been classified as pathogenic (Stittrich et al., 2014), but has since been reclassified as benign in ClinVar. Similarly, we have reclassified the NOTCH1 p.Pro407Arg and DLL4 p.Pro267Thr variants as VUS in this study (Meester et al., 2015; Southgate et al., 2015). Of note, a reclassification of all the VUS in our study as causal, would increase the diagnostic yield to 36% (Figure 1B), which is still lower than previous estimates (Lehman et al., 2016). By contrast, the use of additional gene‐specific criteria for classification, as described above, may have led to an overrepresentation of pathogenic variants.

Finally, our study includes a substantial proportion of sporadic cases, which have been relatively poorly studied in previous reports favoring the use of familial cohorts for novel gene detection. A molecular diagnosis was achieved for 36% of the familial cases in our cohort, or 40% if classifying all VUS as causal (Figure 1B). Conversely, in our sporadic cases the mutation detection rate was only 24%, highlighting an increased likelihood of genetic risk factors in familial disease. Our sporadic cohort also contains nine, predominantly missense VUS. These variants would require additional supporting evidence to be reclassified as pathogenic. However, this is complicated by the absence of familial segregation data and documented reduced penetrance in this condition.

An assessment of potential genotype–phenotype correlations in our cohort revealed a few important observations. Cardiac features were more frequently observed in patients with a mutation in NOTCH1, DLL4, or RPBJ. While cardiac examination is recommended for all AOS patients, these findings indicate a specific requirement for patients with NOTCH1, DLL4, and RBPJ mutations. We also noted a positive correlation between patients with recessive mutations in DOCK6 and the presence of neurological abnormalities, intrauterine growth restriction, or ocular anomalies. Finally, we observed wide phenotypic variability and incomplete penetrance. The latter was most common in NOTCH1‐related AOS and to a lesser extent in ARHGAP31‐ and DLL4‐related disease. It is likely that the level of penetrance is currently overestimated, due to segregation analysis typically being restricted to parents. Furthermore, incomplete penetrance potentially accounts for an excess of sporadic cases, a known phenomenon in AOS.

4.4. Future perspectives

Despite the identification of six genes underlying AOS to date, the majority of cases (64%–70%) in our cohort remain unresolved. Several reasons that may explain this missing heritability should now be examined further. First, targeted next‐generation sequencing is dependent on efficient hybridization, which did not provide full coverage of all target genes. Specifically, NOTCH1 exon 1 was poorly covered using HaloPlex Target enrichment and TruSeq Custom Amplicon enrichment. While these gaps were not sequenced manually, no AOS mutations have been reported in this region of the gene to date. In addition, several target regions of DOCK6 (exons 1, 2, 15, 16, 23) and RBPJ (exon 2) demonstrated reduced coverage in a subset of patients enriched with the TruSeq Custom Amplicon Panel. Second, further genetic heterogeneity of AOS is highly likely. Additional genes encoding proteins involved in NOTCH signaling or CDC42/RAC1 regulation and cytoskeleton dynamics are plausible candidates. Third, it is possible that the spectrum of AOS/ACC/TTLD disease is not uniformly monogenic. Considering the high proportion of sporadic cases for a condition that does not significantly reduce reproductive fitness, as well as the likelihood that this spectrum of disorders is a consequence of fetal vascular disruption, it is tempting to speculate that nongenetic causes or complex inheritance may be involved in the etiology of this phenotype. Fourth, the majority of samples in our cohort have not undergone copy‐number variant analysis or screening of noncoding regions. Partial or complete deletion or duplication of one of the six established genes may account for approximately 20% of cases (Machado et al., 2015), but were not detected in this study due to the methodologies used. In conclusion, these data support the likely existence of additional, as yet unidentified, susceptibility genes for AOS and related disorders. Our extensive patient cohort provides opportunities for the identification of additional causal genes and functional interpretation of identified defects, with the potential to explore future therapeutic avenues in this condition.

Supporting information

Supporting Information

ACKNOWLEDGMENTS

The authors thank the participating families and the clinicians who recruited patients to the European AOS Consortium (list of clinicians is given in supplementary material). B.L.L. is senior clinical investigator of the Research Foundation—Flanders and holds a starting grant from the European Research Council (ERC‐StG‐2012‐30972‐BRAVE). J.A.N.M. and G.V. are predoctoral and postdoctoral researchers of the Research Foundation, Flanders (11Y5817N and 12D1717N, respectively). This research was supported by funding from the University of Antwerp (Lanceringsproject), the Research Foundation, Flanders (G.0221.12), The Dutch Heart Foundation (2013T093), and the Fondation Leducq (MIBAVA, Leducq 12CVD03). L.S. is supported by the Wellcome Trust Institutional Strategic Support Fund (204809/Z/16/Z) awarded to St. George's, University of London. This research was also supported by a grant from the Fritz Thyssen Stiftung (AZ 10.15.2.040MN) awarded to M.Z. We further acknowledge the use of Biomedical Research Centre (BRC) Core Facilities provided by the financial support from the Department of Health via the National Institute for Health Research comprehensive BRC award to Guy's and St Thomas’ National Health Service (NHS) Foundation Trust in partnership with King's College London and King's College Hospital NHS Foundation Trust. M.A.S. was supported by the Deanship of Scientific Research, King Saud University, Riyadh, Saudi Arabia (RGP‐VPP‐301). We are grateful to Eamonn Maher, Ezequiel Martin Rodriguez (University of Cambridge), Duncan McHale and Martin Armstrong (UCB Pharma) for supervising H.T. and enabling WES. We would also like to thank Susan Engelberg and Steffen Koppsieker for technical support.

DISCLOSURE

The authors declare no conflict of interest.

Meester JAN, Sukalo M, Schröder KC, et al. Elucidating the genetic architecture of Adams–Oliver syndrome in a large European cohort. Human Mutation. 2018;39:1246–1261. 10.1002/humu.23567

The first two authors contributed equally to this work.

The last three authors jointly supervised this work.

The copyright line for this article was changed on August 30, 2018 after original online publication.

REFERENCES

  1. Adams, F. H. , & Oliver, C. P. (1945). Hereditary deformities in man due to arrested development. Journal of Heredity, 36, 3–7. [Google Scholar]
  2. Adzhubei, I. A. , Schmidt, S. , Peshkin, L. , Ramensky, V. E. , Gerasimova, A. , Bork, P. , … Sunyaev, S. R. (2010). A method and server for predicting damaging missense mutations. Nature Methods, 7(4), 248–249. 10.1038/nmeth0410-248 [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Aster, J. C. , Xu, L. , Karnell, F. G. , Patriub, V. , Pui, J. C. , & Pear, W. S. (2000). Essential roles for ankyrin repeat and transactivation domains in induction of T‐cell leukemia by notch1. Molecular and Cellular Biology, 20(20), 7505–7515. [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Bonafede, R. P. , & Beighton, P. (1979). Autosomal dominant inheritance of scalp defects with ectrodactyly. American Journal of Medical Genetics, 3(1), 35–41. 10.1002/ajmg.1320030109 [DOI] [PubMed] [Google Scholar]
  5. Bray, S. J. (2006). Notch signalling: A simple pathway becomes complex. Nature Reviews Molecular Cell Biology, 7(9), 678–689. 10.1038/nrm2009 [DOI] [PubMed] [Google Scholar]
  6. Cohen, I. , Silberstein, E. , Perez, Y. , Landau, D. , Elbedour, K. , Langer, Y. , … Birk, O. S. (2014). Autosomal recessive Adams–Oliver syndrome caused by homozygous mutation in EOGT, encoding an EGF domain‐specific O‐GlcNAc transferase. European Journal of Human Genetics, 22(3), 374–378. 10.1038/ejhg.2013.159 [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. Dallapiccola, B. , Giannotti, A. , Marino, B. , Digilio, C. , & Obregon, G. (1992). Familial aplasia cutis congenita and coarctation of the aorta. Am J Med Genet, 43(4), 762–763. 10.1002/ajmg.1320430423 [DOI] [PubMed] [Google Scholar]
  8. Dietz, H. C. , Saraiva, J. M. , Pyeritz, R. E. , Cutting, G. R. , & Francomano, C. A. (1992). Clustering of fibrillin (FBN1) missense mutations in Marfan syndrome patients at cysteine residues in EGF‐like domains. Human Mutation, 1(5), 366–374. 10.1002/humu.1380010504 [DOI] [PubMed] [Google Scholar]
  9. Digilio, M. C. , Marino, B. , Baban, A. , & Dallapiccola, B. (2015). Cardiovascular malformations in Adams‐Oliver syndrome. American Journal of Medical Genetics. Part A, 167A(5), 1175–1177. 10.1002/ajmg.a.36764 [DOI] [PubMed] [Google Scholar]
  10. Girard, M. , Amiel, J. , Fabre, M. , Pariente, D. , Lyonnet, S. , & Jacquemin, E. (2005). Adams‐Oliver syndrome and hepatoportal sclerosis: occasional association or common mechanism? Am J Med Genet A, 135(2), 186–189. 10.1002/ajmg.a.30724 [DOI] [PubMed] [Google Scholar]
  11. Hambleton, S. , Valeyev, N. V. , Muranyi, A. , Knott, V. , Werner, J. M. , McMichael, A. J. , … Downing, A. K. (2004). Structural and functional properties of the human notch‐1 ligand binding region. Structure (London, England), 12(12), 2173–2183. 10.1016/j.str.2004.09.012 [DOI] [PubMed] [Google Scholar]
  12. Hassed, S. J. , Wiley, G. B. , Wang, S. , Lee, J. Y. , Li, S. , Xu, W. , … Gaffney, P. M. (2012). RBPJ mutations identified in two families affected by Adams–Oliver syndrome. American Journal of Human Genetics, 91(2), 391–395. 10.1016/j.ajhg.2012.07.005 [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Isrie, M. , Wuyts, W. , Van Esch, H. , & Devriendt, K. (2014). Isolated terminal limb reduction defects: Extending the clinical spectrum of Adams–Oliver syndrome and ARHGAP31 mutations. American Journal of Medical Genetics. Part A, 164A(6), 1576–1579. 10.1002/ajmg.a.36486 [DOI] [PubMed] [Google Scholar]
  14. Kircher, M. , Witten, D. M. , Jain, P. , O'Roak, B. J. , Cooper, G. M. , & Shendure, J. (2014). A general framework for estimating the relative pathogenicity of human genetic variants. Nature Genetics, 46(3), 310–315. 10.1038/ng.2892 [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. Kumar, P. , Henikoff, S. , & Ng, P. C. (2009). Predicting the effects of coding non‐synonymous variants on protein function using the SIFT algorithm. Nature Protocols, 4(7), 1073–1082. 10.1038/nprot.2009.86 [DOI] [PubMed] [Google Scholar]
  16. Lehman, A. , Stittrich, A. B. , Glusman, G. , Zong, Z. , Li, H. , Eydoux, P. , … Patel, M. (2014). Diffuse angiopathy in Adams–Oliver syndrome associated with truncating DOCK6 mutations. American Journal of Medical Genetics. Part A, 164A(10), 2656–2662. 10.1002/ajmg.a.36685 [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Lehman, A. , Wuyts, W. , & Patel, M. S. (2016). Adams–Oliver syndrome In Pagon R. A., Adam M. P., Ardinger H. H., Wallace S. E., Amemiya A., Bean L. J. H., Bird T. D., Ledbetter N., Mefford H. C., Smith R. J. H., & Stephens K. (Eds.), GeneReviews(R). Seattle, WA: University of Washington, Seattle. [PubMed] [Google Scholar]
  18. Liu, X. , Jian, X. , & Boerwinkle, E. (2011). dbNSFP: A lightweight database of human nonsynonymous SNPs and their functional predictions. Human Mutation, 32(8), 894–899. 10.1002/humu.21517 [DOI] [PMC free article] [PubMed] [Google Scholar]
  19. Luca, V. C. , Jude, K. M. , Pierce, N. W. , Nachury, M. V. , Fischer, S. , & Garcia, K. C. (2015). Structural biology. Structural basis for Notch1 engagement of Delta‐like 4. Science, 347(6224), 847–853. 10.1126/science.1261093 [DOI] [PMC free article] [PubMed] [Google Scholar]
  20. Machado, R. D. , Southgate, L. , Eichstaedt, C. A. , Aldred, M. A. , Austin, E. D. , Best, D. H. , … Grunig, E. (2015). Pulmonary arterial hypertension: A current perspective on established and emerging molecular genetic defects. Human Mutation, 36(12), 1113–1127. 10.1002/humu.22904 [DOI] [PMC free article] [PubMed] [Google Scholar]
  21. Martinez‐Frias, M. L. , Arroyo Carrera, I. , Munoz‐Delgado, N. J. , Nieto Conde, C. , Rodriguez‐Pinilla, E. , Urioste Azcorra, M. , … Garcia Alix, A. (1996). [The Adams–Oliver syndrome in Spain: The epidemiological aspects]. Anales Espanoles De Pediatria, 45(1), 57–61. [PubMed] [Google Scholar]
  22. Meester, J. A. , Southgate, L. , Stittrich, A. B. , Venselaar, H. , Beekmans, S. J. , den Hollander, N. , … Wuyts, W. (2015). Heterozygous loss‐of‐function mutations in DLL4 cause Adams–Oliver syndrome. American Journal of Human Genetics, 97(3), 475–482. 10.1016/j.ajhg.2015.07.015 [DOI] [PMC free article] [PubMed] [Google Scholar]
  23. Nagasaka, M. , Taniguchi‐Ikeda, M. , Inagaki, H. , Ouchi, Y. , Kurokawa, D. , Yamana, K. , … Iijima, K. (2017). Novel missense mutation in DLL4 in a Japanese sporadic case of Adams–Oliver syndrome. Journal of Human Genetics, 10.1038/jhg.2017.48 [DOI] [PubMed] [Google Scholar]
  24. Orstavik, K. H. , Stromme, P. , Spetalen, S. , Flage, T. , Westvik, J. , Vesterhus, P. , & Skjeldal, O. (1995). Aplasia cutis congenita associated with limb, eye, and brain anomalies in sibs: a variant of the Adams‐Oliver syndrome? Am J Med Genet, 59(1), 92–95. 10.1002/ajmg.1320590118 [DOI] [PubMed] [Google Scholar]
  25. Prothero, J. , Nicholl, R. , Wilson, J. , & Wakeling, E. L. (2007). Aplasia cutis congenita, terminal limb defects and falciform retinal folds: confirmation of a distinct syndrome of vascular disruption. Clin Dysmorphol, 16(1), 39–41. 10.1097/MCD.0b013e328010b81c [DOI] [PubMed] [Google Scholar]
  26. Richards, S. , Aziz, N. , Bale, S. , Bick, D. , Das, S. , Gastier‐Foster, J. , … Committee, A. L. Q. A. (2015). Standards and guidelines for the interpretation of sequence variants: A joint consensus recommendation of the American college of medical genetics and genomics and the association for molecular pathology. Genetics in Medicine, 17(5), 405–424. 10.1038/gim.2015.30 [DOI] [PMC free article] [PubMed] [Google Scholar]
  27. Sakaidani, Y. , Ichiyanagi, N. , Saito, C. , Nomura, T. , Ito, M. , Nishio, Y. , … Okajima, T. (2012). O‐linked‐N‐acetylglucosamine modification of mammalian Notch receptors by an atypical O‐GlcNAc transferase Eogt1. Biochemical and Biophysical Research Communications, 419(1), 14–19. 10.1016/j.bbrc.2012.01.098 [DOI] [PubMed] [Google Scholar]
  28. Schrijver, I. , Liu, W. , Brenn, T. , Furthmayr, H. , & Francke, U. (1999). Cysteine substitutions in epidermal growth factor‐like domains of fibrillin‐1: Distinct effects on biochemical and clinical phenotypes. American Journal of Human Genetics, 65(4), 1007–1020. 10.1086/302582 [DOI] [PMC free article] [PubMed] [Google Scholar]
  29. Schwarz, J. M. , Cooper, D. N. , Schuelke, M. , & Seelow, D. (2014). MutationTaster2: Mutation prediction for the deep‐sequencing age. Nature Methods, 11(4), 361–362. 10.1038/nmeth.2890 [DOI] [PubMed] [Google Scholar]
  30. Shaheen, R. , Aglan, M. , Keppler‐Noreuil, K. , Faqeih, E. , Ansari, S. , Horton, K. , … Alkuraya, F. S. (2013). Mutations in EOGT confirm the genetic heterogeneity of autosomal‐recessive Adams–Oliver syndrome. American Journal of Human Genetics, 92(4), 598–604. 10.1016/j.ajhg.2013.02.012 [DOI] [PMC free article] [PubMed] [Google Scholar]
  31. Shaheen, R. , Faqeih, E. , Sunker, A. , Morsy, H. , Al‐Sheddi, T. , Shamseldin, H. E. , … Alkuraya, F. S. (2011). Recessive mutations in DOCK6, encoding the guanidine nucleotide exchange factor DOCK6, lead to abnormal actin cytoskeleton organization and Adams–Oliver syndrome. American Journal of Human Genetics, 89(2), 328–333. 10.1016/j.ajhg.2011.07.009 [DOI] [PMC free article] [PubMed] [Google Scholar]
  32. Snape, K. M. , Ruddy, D. , Zenker, M. , Wuyts, W. , Whiteford, M. , Johnson, D. , … Trembath, R. C. (2009). The spectra of clinical phenotypes in aplasia cutis congenita and terminal transverse limb defects. American Journal of Medical Genetics. Part A, 149A(8), 1860–1881. 10.1002/ajmg.a.32708 [DOI] [PubMed] [Google Scholar]
  33. Southgate, L. , Machado, R. D. , Snape, K. M. , Primeau, M. , Dafou, D. , Ruddy, D. M. , … Trembath, R. C. (2011). Gain‐of‐function mutations of ARHGAP31, a Cdc42/Rac1 GTPase regulator, cause syndromic cutis aplasia and limb anomalies. American Journal of Human Genetics, 88(5), 574–585. 10.1016/j.ajhg.2011.04.013 [DOI] [PMC free article] [PubMed] [Google Scholar]
  34. Southgate, L. , Sukalo, M. , Karountzos, A. S. , Taylor, E. J. , Collinson, C. S. , Ruddy, D. , … Trembath, R. C. (2015). Haploinsufficiency of the NOTCH1 receptor as a cause of Adams–Oliver syndrome with variable cardiac anomalies. Circulation. Cardiovascular Genetics, 8(4), 572–581. 10.1161/CIRCGENETICS.115.001086 [DOI] [PMC free article] [PubMed] [Google Scholar]
  35. Stittrich, A. B. , Lehman, A. , Bodian, D. L. , Ashworth, J. , Zong, Z. , Li, H. , … Patel, M. S. (2014). Mutations in NOTCH1 cause Adams–Oliver syndrome. American Journal of Human Genetics, 95(3), 275–284. 10.1016/j.ajhg.2014.07.011 [DOI] [PMC free article] [PubMed] [Google Scholar]
  36. Sukalo, M. , Tilsen, F. , Kayserili, H. , Muller, D. , Tuysuz, B. , Ruddy, D. M. , … Zenker, M. (2015). DOCK6 mutations are responsible for a distinct autosomal‐recessive variant of Adams–Oliver syndrome associated with brain and eye anomalies. Human Mutation, 36(11), 1112 10.1002/humu.22830 [DOI] [PubMed] [Google Scholar]
  37. Verdyck, P. , Blaumeiser, B. , Holder‐Espinasse, M. , Van Hul, W. , & Wuyts, W. (2006). Adams‐Oliver syndrome: clinical description of a four‐generation family and exclusion of five candidate genes. Clin Genet, 69(1), 86–92. 10.1111/j.1399-0004.2006.00552.x [DOI] [PubMed] [Google Scholar]
  38. Verdyck, P. , Holder‐Espinasse, M. , Hul, W. V. , & Wuyts, W. (2003). Clinical and molecular analysis of nine families with Adams‐Oliver syndrome. Eur J Hum Genet, 11(6), 457–463. 10.1038/sj.ejhg.5200980 [DOI] [PubMed] [Google Scholar]
  39. Wang, K. , Li, M. , & Hakonarson, H. (2010). ANNOVAR: Functional annotation of genetic variants from high‐throughput sequencing data. Nucleic Acids Research, 38(16), e164. [DOI] [PMC free article] [PubMed] [Google Scholar]

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