Literature DB >> 29543232

Targeted genetic analysis in a large cohort of familial and sporadic cases of aneurysm or dissection of the thoracic aorta.

Ruwan Weerakkody1,2,3, David Ross2, David A Parry2, Bulat Ziganshin4, Jana Vandrovcova5, Piyush Gampawar2, Abdulshakur Abdullah1, Jennifer Biggs1, Julia Dumfarth4, Yousef Ibrahim3, Colin Bicknell3, Mark Field6, John Elefteriades4, Nick Cheshire3, Timothy J Aitman7,8,9.   

Abstract

PURPOSE: Thoracic aortic aneurysm/aortic dissection (TAAD) is a disorder with highly variable age of onset and phenotype. We sought to determine the prevalence of pathogenic variants in TAAD-associated genes in a mixed cohort of sporadic and familial TAAD patients and identify relevant genotype-phenotype relationships.
METHODS: We used a targeted polymerase chain reaction and next-generation sequencing-based panel for genetic analysis of 15 TAAD-associated genes in 1,025 unrelated TAAD cases.
RESULTS: We identified 49 pathogenic or likely pathogenic (P/LP) variants in 47 cases (4.9% of those successfully sequenced). Almost half of the variants were in nonsyndromic cases with no known family history of aortic disease. Twenty-five variants were within FBN1 and two patients were found to harbor two P/LP variants. Presence of a related syndrome, younger age at presentation, family history of aortic disease, and involvement of the ascending aorta increased the risk of carrying a P/LP variant.
CONCLUSION: Given the poor prognosis of TAAD that is undiagnosed prior to acute rupture or dissection, genetic analysis of both familial and sporadic cases of TAAD will lead to new diagnoses, more informed management, and possibly reduced mortality through earlier, preclinical diagnosis in genetically determined cases and their family members.

Entities:  

Keywords:  FBN1; TAAD genetics; high-throughput DNA sequencing; sporadic TAAD; thoracic aortic aneurysm/aortic dissection

Mesh:

Substances:

Year:  2018        PMID: 29543232      PMCID: PMC6004315          DOI: 10.1038/gim.2018.27

Source DB:  PubMed          Journal:  Genet Med        ISSN: 1098-3600            Impact factor:   8.822


Introduction

Thoracic aortic aneurysm/aortic dissection (TAAD) manifests a devastating clinical course if undiagnosed and untreated 1. Recent studies of post-mortem computerised tomographic autopsy indicate that 7% of out-of-hospital sudden deaths are due to Type A aortic dissection 2. The major mortality and morbidity associated with TAAD lies with acute dissection or rupture, both of which are difficult to predict 1,3. Early perioperative mortality of a ruptured aneurysm remains high (28-46%) despite recent advances in surgical technology compared with the safety of elective treatment of unruptured thoracic aneurysms where surgical results have improved significantly (6-7% mortality) 4. Aneurysm size (5-5.5cm) is currently the major determinant of the timing of surgery5. In syndromic aortic disease (Marfan (MFS), Loeys-Dietz (LDS), Ehlers-Danlos Syndrome (EDS)), earlier surgical intervention is recommended as dissection can occur at diameters less than 5.0cm 6 although these associated syndromes may be difficult to diagnose 7,8. Whilst genetic testing is recommended in familial and syndromic TAAD, it is not widely available in sporadic TAAD (STAAD) and is generally restricted to those with a strong suspicion of a genetic aetiology5,9. The study of large pedigrees with multiply affected members has led to the identification of causal genes in both syndromic and non-syndromic TAAD 6,10. Causative mutations have been identified in non-syndromic FTAAD pedigrees within the smooth muscle contractile (SMC) genes ACTA2, MYH11, PRKG1 and MYLK in non-syndromic patients 11–13. Syndromic TAAD is associated with numerous connective tissue disorders and their corresponding genes; Marfan syndrome (FBN1), Loeys-Dietz syndrome (TGFBR1, TGFBR2, SMAD3 & TGFB2), Ehlers-Danlos syndrome (COL1A1, COL1A2, COL3A1, COL5A1 and COL5A2), Arterial tortuosity syndrome (SLC2A10) and Shprintzen-Goldberg syndrome (SKI) 10,14. Many of the genes in syndromic TAAD are associated with dissections occurring in patients with an aortic size below the 5.5cm threshold recommended for reparative surgery 6. The identification of causal variants in probands can lead to additional diagnoses by family screening in family members who have yet to develop clinical manifestations of the disorder 9. In addition, endovascular repair is contraindicated in cases diagnosed with a connective tissue syndrome, when open surgery is recommended 15. Genetic testing can therefore identify causal variants leading to a definitive preclinical diagnosis that can better determine the optimal timing and technique of prophylactic surgery. Next generation sequencing (NGS) is increasingly used for mutation testing and clinical diagnosis 16. Using a cost-effective PCR and NGS-based targeted sequencing approach 17,18, we sought to identify the prevalence of causative genetic variants in known TAAD genes and to elucidate genotype-phenotype relationship in a mixed cohort of 1,025 cases of familial and sporadic TAAD from the UK and USA.

Methods

Patient Cohorts

Surgical intervention in 927 consecutive unrelated cases was undertaken over a 10 year period at the Aortic Institute at Yale-New Haven (Yale University, New Haven, USA): 785 surgical samples from these cases were used for DNA analysis within this study (Yale cohort) and 240 unrelated cases, treated and followed up at three UK centres from 2000-2013 (St Mary’s hospital, London; Royal Brompton & Harefield hospitals, London; Liverpool Heart & Chest Hospital, Liverpool) (UK cohort) were recruited to the study. Twenty-five cases within the Yale cohort were also present in a previous whole-exome sequencing study 9. The Yale cohort was approved by the Human Investigation Committee of Yale University (IRB protocol 12617) and the UK cohort was approved by the West London Research Ethics Committee (REC reference 11/LO/0883). Both cohorts complied with the Declaration of Helsinki and written informed consent was obtained from all participants. MFS and LDS diagnoses in the UK cohort were identified by clinical case note review in which diagnoses were made by consultant clinical geneticists following a standard referral pathway. MFS diagnoses in the Yale cohort were made according to the Revised Ghent Nosology19. There were no LDS cases in the Yale cohort.

DNA Extraction

For the UK cohort, saliva samples were collected using the Oragene DNA kit (Genotek, Ontario, Canada) and QIAamp DNA Blood Midi kit (Qiagen, Venlo, Netherlands) was used to extract DNA from whole-blood samples. For the Yale cohort, DNA from fresh frozen aortic specimens collected at surgery were extracted using the DNeasy Blood & Tissue kit (Qiagen, Venlo, Netherlands). All DNA samples were subsequently normalized to 25-50ng/ul.

Targeted Exon Sequencing

Targeted exon sequencing was carried out on two Fluidigm assays named Aortopathy panel 1 (TAAD-X), which included 363 primer-pairs for FBN1, TGFBR1, TGFBR2, MYH11, ACTA2, SMAD3 and MYLK and Aortopathy panel 2 (TAAD-Z) containing 493 primer pairs for SKI, TGFB2, SLC2A10, COL1A1, COL1A2, COL3A1, COL5A1 and COL5A2 (Table S1 & S2). Multiplex PCR was performed using the Access Array System (Fluidigm, South San Francisco, CA) and the MiSeq sequencing platform (Illumina, San Diego, CA) as previously described 17,18.

Read Mapping, Variant Calling & Annotation

FastQC was used to assess the sequencing read quality. Primer sequences were trimmed from FASTQ files using cutadapt (v 1.9.1) 20 prior to read mapping to GRCh37/hg19 human reference sequence using BWA-MEM V0.7.12 21. Realignment of reads around indels and base quality score recalibration was performed using GATK v3.4 22. The GATK UnifiedGenotyper was used for calling variants 23. Variants were annotated using Ensembl Variant Effect Predictor v84 24.

Variant and Sample Filtering

Synonymous variants and intronic variants (excluding splice sites) were omitted from downstream analysis unless annotated as pathogenic or disease-causing in ClinVar 25 or HGMD 26 databases. Variants with a minor allele frequency greater than 0.1% in either ExAC release 0.3.1 27 or dbSNP146 28 datasets were excluded. We found a high frequency of false positives in variants within SKI exon 1 and those with an allele balance below 0.3. These variants were therefore excluded from the datasets. Samples with less than 80% of target bases covered by more than 49 reads were not considered for downstream analysis.

Pathogenicity Assignment

Variants passing filters were assigned to one of three categories: either ‘pathogenic’, ‘likely pathogenic’, ‘variant of uncertain significance (VUS)’ or ‘likely benign’ based on the presence of one or more pieces of evidence (Table S3 & S4). Variants were assigned to the ‘pathogenic’ or ‘likely pathogenic’ category if they met any of the following criteria: if the variant is already reported as disease causing in HGMD or ClinVar unless sufficient evidence could not be found for categorising it as ‘pathogenic/likely pathogenic’ (P/LP) (Table S5); if the variant results in the same amino acid substitution as a variant already reported as disease causing in HGMD or ClinVar; premature termination of translation; a substitution of a glycine residue within a GlyXY repeat in collagen triple helical domains; an insertion of amino acids disrupting the GlyXY repeat sequence; alteration of a key residue in a protein feature (e.g. active site, disulphide bond) in keeping with previously ascribed molecular mechanisms for a given gene (see Table S6). Variants predicted to be damaging by PolyPhen and SIFT and with CADD scores above 10 were assigned to the VUS category, as were variants resulting in a substitution at an amino acid position at which a different substitution is assigned disease-causing status in ClinVar or HGMD 25,26,29–31. Absence of PolyPhen or SIFT predictions for missense variants resulted in classification as VUS. Remaining variants were assigned ‘likely benign’ status. All variants assigned P/LP status were validated by Sanger sequencing.

Statistical Analysis

Significant differences in categorical variables between individuals in different genotype or phenotype groups were estimated by Fisher’s exact test. The unpaired Wilcoxon rank-sum test was used to assess non-parametric phenotypic continuous measurements.

Results

Patient Demographics and Clinical Characteristics

Of the total of 785 cases recruited to the Yale cohort and 240 to the UK cohort, sequence depth reached the assay threshold of 50 reads in at least 80% of target bases in 93% of the Yale cohort and 98% of the UK cohort. A total of 732 patients in the Yale cohort and 235 patients in the UK cohort were therefore taken forward for further analyses: their demographic and clinical characteristics are given in Table 1.
Table 1

Patient demographics and clinical characteristics of the cohort.

Yale CohortUK CohortWhole Cohort
Demographics
     Number (%)732 (75.7)235 (24.3)967 (100)
     Age at Diagnosis, Median606060
             Min101110
             Max868486
     Male (%) a503 (68.7)154 (65.5)657 (67.9)
     Female (%)223 (30.4)80 (34.2)303 (31.3)
     Caucasian (%)634 (86.7)200 (85.2)833 (86.1)
     Probable/Proven Family History (%)214 (29.2)31 (13.2)245 (25.3)
     No Family History (%) b444 (60.7)NA*NA*
     Undergone Aortic Surgery (%)732 (100)199 (84.7)931 (96.3)
Primary Aortic Pathology
     Aneurysm (%)650 (88.8)151 (64.3)801 (82.8)
     Dissection (%)72 (9.8)79 (33.6)151 (15.6)
     PAU/IMH (%)10 (1.4)4 (1.7)14 (1.4)
     Rupture (%)3 (0.4)2 (0.9)5 (0.5)
Primary Anatomical Presentation
     Ascending/Arch (%)683 (93.3)152 (64.7)835 (86.3)
     Descending/Thoracoabdominal (%)48 (6.6)83 (35.3)131 (13.5)
Aortic Size
     Maximum Aortic Diameter (cm), Median5.15.55.1
             Min3.42.72.7
             Max111313
     Maximum Aortic Diameter < 5.5cm (%)488 (66.7)103 (43.8)591 (61.1)
Known Syndrome c
     MFS (%)4 (0.5)20 (8.5)24 (2.5)
     LDS (%)0 (0)3 (1.3)3 (0.3)
     EDS (%)0 (0)0 (0)0 (0)
     Other (%) d1 (0.1)2 (0.9)3 (0.3)

PAU, penetrating aortic ulcer. IMH, intramural haematoma. MFS, Marfan Syndrome. LDS, Loeys-Dietz syndrome. EDS, Ehlers-Danlos syndrome. NA, not available.

Absence of family history was only recorded for the Yale cohort.

Gender information un available for 7 patients.

Family history unavailable for 207 patients in UK cohort and 78 in Yale cohort.

The majority of known Marfan patients in the Yale cohort were operated on as emergencies without research consent, explaining the low number of Marfan cases within the Yale cohort.

One individual from the Yale cohort had several features suggestive of a connective tissue disorder but did not fit any classic syndrome presentations while two individuals from the UK cohort had scoliosis in addition to TAAD.

Variants Identified by NGS

We identified 17 pathogenic variants, 32 likely pathogenic variants and 68 VUS within the whole cohort. Two patients, Y_91_1 and Y_17_1, each carried two P/LP variants, giving a total of 49 P/LP variants in 47 patients, constituting 4.9% of the 967 samples sequenced to our target threshold (Tables 2 and S7). The majority of the identified P/LP variants were in the FBN1 gene (n = 25) (Figure 1, Table S7). A total of 68 VUS were found within 67 patients (Table S8).
Table 2

Pathogenic and likely pathogenic variants identified by the NGS panels

Gene AffectedVariantFunctional CategoryClassificationPreviously Reported?IDPrimary DiagnosisClinical DiagnosisFamily History
COL1A1c.1042G>A:p.A348TmissenseLikely PathogenicyesY_109_21AneurysmN/Ano
COL1A1c.1042G>A:p.A348TmissenseLikely PathogenicyesY_17_1DissectionN/Ano
COL1A1c.2932C>T:p.Pro978SermissenseLikely PathogenicyesY_12_61AneurysmN/Ano
COL1A1c.2932C>T:p.Pro978SermissenseLikely PathogenicyesY_50_38AneurysmN/Ayes
COL3A1c.1178G>A:p.Gly393AspmissenseLikely PathogenicnoY_5_23AneurysmOther*yes
COL3A1c.1204G>A:p.Gly402SermissenseLikely PathogenicnoY_112_51AneurysmN/Ano
COL3A1c.1744G>A:p.Gly582SermissensePathogenicyesUK_24_0727AneurysmN/Aunknown
COL3A1c.536delC:p.Pro179GlnfsTer43frameshiftPathogenicnoY_130_31AneurysmN/Ayes
COL5A1c.2504G>C:p.Gly835AlamissenseLikely PathogenicnoY_68_20AneurysmN/Ano
COL5A2c.3275G>A:p.Gly1092AspmissenseLikely PathogenicnoUK_21_0261AneurysmN/Aunknown
COL5A2c.808G>A:p.Gly270SermissenseLikely PathogenicnoY_1_1AneurysmN/Ayes
FBN1c.59A>G:p.Tyr20CysmissenseLikely PathogenicyesY_128_61AneurysmN/Ano
FBN1c.626G>A:p.Cys209TyrmissenseLikely PathogenicyesY_95_7DissectionN/Aunknown
FBN1c.1090C>T:p.Arg364Terstop gainedPathogenicyesUK_24_0907AneurysmMarfanyes
FBN1c.1090C>T:p.Arg364Terstop gainedPathogenicyesUK_24_0916AneurysmMarfanyes
FBN1c.1422T>G:p.Cys474TrpMissenseLikely PathogenicyesUK_24_0712DissectionMarfanyes
FBN1c.1468+5G>Asplice regionLikely PathogenicyesUK_24_0719AneurysmN/Aunknown
FBN1c.1468+5G>Asplice regionLikely PathogenicyesUK_24_0720AneurysmN/Aunknown
FBN1c.2168-1G>Tsplice acceptorLikely PathogenicnoY_82_41AneurysmN/Aunknown
FBN1c.2306G>A:p.Cys769TyrmissenseLikely PathogenicyesUK_24_0904AneurysmMarfanyes
FBN1c.2554_2555dupAC:p.Cys853LeufsTer20frameshiftPathogenicnoUK_21_0250DissectionMarfanyes
FBN1c.2581C>T:p.Arg861Terstop gainedPathogenicyesY_17_1DissectionN/Ano
FBN1c.2645C>T:p.Ala882ValmissenseLikely PathogenicyesUK_21_0003AneurysmN/Aunknown
FBN1c.2896G>T:p.Glu966Terstop gainedPathogenicyesUK_21_0281DissectionN/Aunknown
FBN1c.3012C>G:p.Tyr1004Terstop gainedPathogenicyesUK_21_0083DissectionN/Aunknown
FBN1c.3193delG:p.Glu1065LysfsTer23frameshiftPathogenicyesY_21_18AneurysmN/Ayes
FBN1c.4406G>C:p.Arg1469PromissenseLikely PathogenicyesY_133_86AneurysmMarfanyes
FBN1c.5235_5236dupTA:p.Thr1746IlefsTer148frameshiftPathogenicnoUK_21_0242AneurysmMarfanyes
FBN1c.5917+6T>Csplice regionLikely PathogenicyesUK_24_0796AneurysmMarfanunknown
FBN1c.5917+6T>Csplice regionLikely PathogenicyesUK_24_0842AneurysmMarfanyes
FBN1c.6402dupC:p.Asp2135ArgfsTer4frameshiftPathogenicnoUK_21_0355AneurysmMarfanyes
FBN1c.7039_7040delAT:p.Met2347ValfsTer19frameshiftPathogenicyesY_26_51AneurysmN/Ano
FBN1c.7788C>A:p.Tyr2596Terstop gainedLikely PathogenicnoY_94_61AneurysmN/Ayes
FBN1c.7956T>A:p.Cys2652Terstop gainedPathogenicnoY_47_31AneurysmN/Ayes
FBN1c.8504dupC:p.Leu2836ThrfsTer3frameshiftLikely PathogenicnoY_56_99AneurysmN/Ayes
FBN1c.8504dupC:p.Leu2836ThrfsTer3frameshiftLikely PathogenicnoY_59_47AneurysmN/Ayes
MYH11c.1A>G:p.Met1?start lossLikely PathogenicnoY_91_1AneurysmN/Aunknown
MYH11c.4861A>C:p.Lys1621GlnmissenseLikely PathogenicyesY_20_10AneurysmN/Ano
MYH11c.5273G>A:p.Arg1758GlnmissenseLikely PathogenicyesY_21_41AneurysmN/Ano
MYH11c.5273G>A:p.Arg1758GlnmissenseLikely PathogenicyesY_35_28AneurysmMarfanno
MYLKc.2390+2T>Csplice donorLikely PathogenicnoY_19_18AneurysmN/Ayes
MYLKc.5275T>C:p.Ser1759PromissenseLikely PathogenicyesY_84_18DissectionN/Ayes
SLC2A10c.394C>T:p.Arg132TrpmissenseLikely PathogenicyesY_51_21AneurysmN/Ayes
SLC2A10c.648C>G:p.Tyr216Terstop gainedPathogenicnoY_91_1AneurysmN/Aunknown
TGFBR1c.974-2A>Gsplice acceptorLikely PathogenicnoY_105_61DissectionN/Ano
TGFBR1c.1255+1G>Asplice donorPathogenicnoUK_21_1025DissectionN/Aunknown
TGFBR2c.1489C>T:p.Arg497Terstop gainedPathogenicyesY_18_71AneurysmN/Ayes
TGFBR2c.1524+1G>Tsplice donorPathogenicnoUK_24_0795AneurysmLDSunknown
TGFBR2c.1609C>T:p.Arg537CysmissenseLikely PathogenicnoY_112_30AneurysmN/Ayes

LDS, Loeys-Dietz Syndrome.

This individual had a suspected but unconfirmed connective tissue disorder

Figure 1

Numbers of pathogenic or likely pathogenic (P/LP) variants identified by gene across both the Yale and UK cohorts. Percentages shown are the overall proportion of P/LP variants for each gene.

We also tested our pipeline with a more lenient allele frequency threshold of 1%, which yielded three more P/LP variants. However, each of these additional variants were reclassified to VUS upon inspection of the literature (Table S5), so a maximum allele frequency of 0.1% was used for all variant filtering.

Genotype-phenotype correlation with P/LP variants

A lower age at diagnosis was found to significantly increase the likelihood of identifying a P/LP variant. The median age at diagnosis was 46.0 years for patients carrying a P/LP variant compared to 55.5 years for those carrying a VUS (p=3.5e-3), and 61.0 for those in the likely benign and no variant group (p=3.4e-8) (Figure 2a). Patients who were diagnosed under 50 years of age were far more likely to carry a P/LP variant with 11.6% of those diagnosed before 50 carrying a P/LP variant compared to 3.0% in the over 50 category (p=1.3e-7) (Figure 2b). Removing Marfan cases from these datasets increases the median age at diagnosis for patients harbouring a P/LP variant to 51.5 (Figure 2c) and decreases the percentage of patients under 50 harbouring a P/LP variant to 7.8% (Figure 2d). The median age of TAAD diagnosis in clinically suspected MFS cases was 33.5 years in our cohort.
Figure 2

Influence of variant type and diagnosis of Marfan syndrome on age of diagnosis. In cases with more than one P/LP variant or VUS, only the most damaging was included in this analysis. Age distribution and impact of age on variant type in whole cohort (a, b), and in non-Marfan patients (c, d).

TAAD patients with a family history were four times more likely to carry a P/LP variant than those without a family history (p=1.05e-4; Figure S1a). Gender did not significantly influence the likelihood of harbouring a P/LP variant within our cohorts (p=0.29; Figure S1b). A median maximum aortic size of 5.25cm was found in patients harboring P/LP variants compared to 5.1cm in those not harboring a P/LP variant (p = 0.45). Although aortic size is the main determinant for surgery, no association was found in our cohorts between maximum aortic size and variant categories (unpublished data). Similarly, splitting the data by pathology type and location yielded nothing significant (unpublished data). To estimate the influence of clinical characteristics in determining the likelihood of obtaining a genetic diagnosis, we calculated the relative risk of detecting a P/LP variant by clinical phenotype (Table 3). Likelihood of genetic diagnosis was associated with presence of a related syndrome, a younger age at diagnosis, family history of aortic disease and ascending aortic aneurysm compared to other locations. All but 7 of patients harbouring a P/LP variant possessed at least one of these phenotypes. Other clinical features yielded small, non-significant risk.
Table 3

Probability of harbouring a pathogenic or likely pathogenic variant according to phenotype

TotalNumber (Percentage) with a Pathogenic or Likely Pathogenic Variant Validated by SangerRR (95% CI)P-Value
Syndromic3013 (43)11.94 (7.06-20.20)9.89e-11
Young Age, < 5023726 (11)3.83 (2.20-6.67)4.28e-6
Known or Probable Family History25723 (9)3.80 (1.88-7.66)1.39e-4
Ascending Aorta47729 (6)1.84 (1.04-3.27)0.036
Male69428 (4)0.68 (0.39-1.20)0.20
Presence of Dissection1589 (6)1.28 (0.63-2.59)0.53
Short-Term Mortality*57524 (5)1.18 (0.42-3.32)1.00
Large Aortic Diameter (>5cm)61229 (5)1.05 (0.60-1.84)0.88

Mortality data was only available from the Yale cohort

A median age at diagnosis of 39 and 29 was observed in patients who carried a P/LP variant within FBN1 (n=25) and TGFBR2 (n=3) respectively (Figure S2). Of the 24 cases of clinically diagnosed MFS, 10 cases were identified as harbouring a P/LP variant in FBN1; the remaining case (Y_35_28) in whom a presumptive genetic diagnosis was made had a likely pathogenic variant in MYH11 (Table 2). Although no pathogenic FBN1 variants were found in this patient by our panel assay, subsequent clinical exome analysis identified a probable copy number variant in FBN1 in this patient (unpublished data), suggesting two possible genetic causes for this patient’s TAAD.

Discussion

To date, the majority of genetic abnormalities in TAAD have been identified in syndromic or familial cases 6. The aim of our study was to determine the prevalence of likely disease-causing variants in a mixed, clinically relevant cohort of patients with sporadic and familial TAAD. We sequenced 967 of 1025 unselected TAAD patients from the UK and USA above our target coverage threshold and identified a total of 49 P/LP variants in 47 patients that are the likely cause of their disease. To our knowledge, this is the largest genetic analysis of familial and sporadic cases of TAAD to date and defines a lower limit of 4.9% for the prevalence of TAAD in our cohorts with a pathogenic abnormality amongst most of the currently known TAAD genes. This frequency is similar to that of deleterious mutations (3.9%) reported previously in a series of 102 TAAD patients analysed by exome sequencing 9. The majority (87.8%) of identified P/LP variants were found within known syndromic genes. Mutations in FBN1 accounted for more than half of all identified P/LP variants, with the majority affecting functionally significant domains of the gene. P/LP variants in FBN1 were discovered in 2.6% of the sequenced cohort and 5.8% of patients who had a probable or proven family history of TAAD. This is somewhat higher than was reported in a previous study of FTAAD, in which 2.7% of familial cases carried a pathogenic FBN1 variant 32. FBN1 is clearly an important contributor to Mendelian cases of TAAD and MFS. A recent genome-wide association study showed that common variants in FBN1 are associated with STAAD, suggesting a common pathogenesis of thoracic aortic disease in MFS and STAAD 33. We found that only 40% of those with a P/LP variant in FBN1 had a known or suspected clinical diagnosis of MFS. Similarly, only 48.9% of those with a P/LP variant in any gene had a known or probable family history of TAAD. Although these results may be partly due to an incomplete clinical record (UK records did not definitively record the absence of a family history), they are also consistent with observations over the last 20 years that FBN1 mutations are a cause of TAAD in patients who do not have clinical MFS 32,34. In keeping with this, a recent study of probands with FBN1 mutations found that, only 56-79% met formal clinical criteria for MFS by Ghent systemic scores 35. Patients Y_91_1 and Y_17_1 were each found to harbour two P/LP variants (in SLC2A10 and MYH11, and FBN1 and COL1A1 respectively). No common phenotypic features (young age-of-onset, family history) were seen in these two patients, although a much larger maximum aortic size was found in both patients (7cm and 6.5cm respectively) compared to the median maximum aortic size identified in patients harbouring a P/LP variant (5.25cm). The age at diagnosis within our patients that have a P/LP variant (46.0 years) is much lower than has been observed previously in FTAAD (56.8 years) and STAAD (64.3 years) patients 36. This is likely due to the fact that 11 of the 47 patients harbouring a P/LP variant had clinically suspected MFS, 10 of whom had a P/LP variants in FBN1. The diagnosis of TAAD in MFS has been reported to have a lower age at diagnosis (24.8 years) than non-syndromic TAAD 36; our cohort had a similarly lower age at diagnosis (33.5 years). If the patients in our cohort with suspected MFS are removed, the median age of TAAD diagnosis in our cohort rises from 46.0 to 51.5 years. Overall, the percentage of patients with a P/LP variant was 3-4x higher within the under 50 age group than in those over the age of 50. Although aortic size is the main determinant for surgery, we found no association between maximum aortic size and variant categories. This may in part be explained by early evaluation and surgical intervention in cases with syndromic presentations or family history of TAAD. Comparing all 47 patients with a P/LP variant with the rest of the cohort, we were able to identify statistically significant risks of carrying a P/LP variant associated with developing the disorder: a syndromic component (RR 11.94; 95% CI 7.06-20.20), a younger age at presentation (RR 3.83; 95% CI 2.20-6.67), a probable or known family history of aortic disease (RR 3.80; 95% CI 1.88-7.66) and an aneurysm or dissection occurring partially or wholly within the ascending aorta (RR 1.84; 95% CI 1.04-3.27). The first three factors are clearly suggestive of Mendelian disease and may be suitable criteria for prioritizing TAAD patients for genetic testing if genetic testing is not applied to all cases. The fourth factor, disease location in the ascending aorta, is reflective of the known stronger genetic aetiology of TAAD in the ascending aorta compared to the descending aorta 9. Previous studies have suggested that genetic testing should be undertaken in patients who present at a young age without any additional risk factors 37, although it is unclear to what extent this is implemented in routine clinical practice. Non-syndromic TAAD can have a similarly severe clinical course to those with syndromic TAAD 38, highlighting the importance of identifying genetically predisposed, non-syndromic TAAD patients prior to the development of symptoms. Seven (14.9%) patients harbouring a P/LP variant did not possess any of the above phenotypes (syndromic features, young age-of-onset, family history, involvement of the ascending aorta) associated with greater risk of a genetic aetiology. Therefore, whilst these risk factors increase the likelihood of identifying P/LP variants in known TAAD genes, restricting genetic testing solely to cases with these risk factors would miss a significant, albeit low percentage (14.9%) of cases in whom a genetic diagnosis could be made. Our study has a number of limitations that include possibly having underestimated the number of truly pathogenic variants. We employed intentionally stringent criteria for defining P/LP variants, but this may have led to a number of truly pathogenic variants being classified as VUS’s. The difficulty in unequivocally designating variants as either P/LP or benign highlights the need for concerted efforts to systematically classify mutations in these disease genes, for example with prospective functional assays39. As more information becomes available we anticipate that many of the VUS identified in this study, particularly those with strong supporting in silico data, (Tables S8 and S9) may be unambiguously reclassified as causative variants. A further limitation to our study is that our sequencing assay is limited to the coding sequences and intron/exon boundaries of 15 TAAD genes that represent most of the common causes of TAAD - our study would not detect variants in as yet undiscovered genes or in non-coding sequence. In time, with greater understanding of genotype-phenotype correlation, whole genome sequencing could ultimately detect a higher frequency of pathogenic variants than detected herein. Indeed, we were unable to identify a P/LP variant in 44 of 62 individuals with three or more of the risk factors we identified as increasing the likelihood of harbouring a P/LP variant, and only eight of these individuals were found to carry a VUS. These individuals with a high relative probability of carrying a P/LP variant but no genetic diagnosis after panel testing are likely to be worth prioritising for future whole genome/exome sequencing studies. In summary, we found 4.9% of patients carried a P/LP variant as the underlying cause of their TAAD, predominantly within FBN1 but with substantial contributions from TGFBR and COL genes. Consistent with previous reports, amongst these cases were patients with non-syndromic TAAD in whom we found P/LP variants in genes normally associated with connective tissue disease. A higher likelihood of harbouring a P/LP variant was found to be associated with a syndromic component to the disease, early age at presentation, positive family history and aneurysm location in the ascending aorta. However, restricting genetic testing only to TAAD patients with these features is likely to miss a small but significant number of cases in whom a definitive genetic diagnosis could be made.
  37 in total

1.  dbSNP: the NCBI database of genetic variation.

Authors:  S T Sherry; M H Ward; M Kholodov; J Baker; L Phan; E M Smigielski; K Sirotkin
Journal:  Nucleic Acids Res       Date:  2001-01-01       Impact factor: 16.971

Review 2.  The genetic architecture of non-syndromic thoracic aortic aneurysm.

Authors:  Ilse Luyckx; Bart L Loeys
Journal:  Heart       Date:  2015-09-09       Impact factor: 5.994

3.  2014 ESC Guidelines on the diagnosis and treatment of aortic diseases: Document covering acute and chronic aortic diseases of the thoracic and abdominal aorta of the adult. The Task Force for the Diagnosis and Treatment of Aortic Diseases of the European Society of Cardiology (ESC).

Authors:  Raimund Erbel; Victor Aboyans; Catherine Boileau; Eduardo Bossone; Roberto Di Bartolomeo; Holger Eggebrecht; Arturo Evangelista; Volkmar Falk; Herbert Frank; Oliver Gaemperli; Martin Grabenwöger; Axel Haverich; Bernard Iung; Athanasios John Manolis; Folkert Meijboom; Christoph A Nienaber; Marco Roffi; Hervé Rousseau; Udo Sechtem; Per Anton Sirnes; Regula S von Allmen; Christiaan J M Vrints
Journal:  Eur Heart J       Date:  2014-08-29       Impact factor: 29.983

4.  Survival after open versus endovascular thoracic aortic aneurysm repair in an observational study of the Medicare population.

Authors:  Philip P Goodney; Lori Travis; F Lee Lucas; Mark F Fillinger; David C Goodman; Jack L Cronenwett; David H Stone
Journal:  Circulation       Date:  2011-11-21       Impact factor: 29.690

5.  Prevalence of Type A Acute Aortic Dissection in Patients With Out-Of-Hospital Cardiopulmonary Arrest.

Authors:  Yoshihiro Tanaka; Kenji Sakata; Yasuo Sakurai; Tsuyoshi Yoshimuta; Yuka Morishita; Satoshi Nara; Isao Takahashi; Mitsugu Hirokami; Masakazu Yamagishi
Journal:  Am J Cardiol       Date:  2016-03-19       Impact factor: 2.778

Review 6.  Use of genetics for personalized management of heritable thoracic aortic disease: how do we get there?

Authors:  Dianna M Milewicz; Ellen S Regalado
Journal:  J Thorac Cardiovasc Surg       Date:  2014-08-05       Impact factor: 5.209

7.  Improving newborn screening for cystic fibrosis using next-generation sequencing technology: a technical feasibility study.

Authors:  Mei W Baker; Anne E Atkins; Suzanne K Cordovado; Miyono Hendrix; Marie C Earley; Philip M Farrell
Journal:  Genet Med       Date:  2015-02-12       Impact factor: 8.822

Review 8.  The Human Gene Mutation Database: building a comprehensive mutation repository for clinical and molecular genetics, diagnostic testing and personalized genomic medicine.

Authors:  Peter D Stenson; Matthew Mort; Edward V Ball; Katy Shaw; Andrew Phillips; David N Cooper
Journal:  Hum Genet       Date:  2014-01       Impact factor: 4.132

9.  The ExAC browser: displaying reference data information from over 60 000 exomes.

Authors:  Konrad J Karczewski; Ben Weisburd; Brett Thomas; Matthew Solomonson; Douglas M Ruderfer; David Kavanagh; Tymor Hamamsy; Monkol Lek; Kaitlin E Samocha; Beryl B Cummings; Daniel Birnbaum; Mark J Daly; Daniel G MacArthur
Journal:  Nucleic Acids Res       Date:  2016-11-28       Impact factor: 16.971

10.  The Ensembl Variant Effect Predictor.

Authors:  William McLaren; Laurent Gil; Sarah E Hunt; Harpreet Singh Riat; Graham R S Ritchie; Anja Thormann; Paul Flicek; Fiona Cunningham
Journal:  Genome Biol       Date:  2016-06-06       Impact factor: 13.583

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  16 in total

1.  Analysis of the contribution of 129 candidate genes to thoracic aortic aneurysm or dissection of a mixed cohort of sporadic and familial cases in South China.

Authors:  Ying Li; Miaoxian Fang; Jue Yang; Changjiang Yu; Juntao Kuang; Tucheng Sun; Ruixin Fan
Journal:  Am J Transl Res       Date:  2021-05-15       Impact factor: 4.060

2.  Aortic gene dictionary in the precision medicine era-update from the Aortic Institute at Yale New Haven.

Authors:  Dimitra Papanikolaou; Mohammad A Zafar; Bulat A Ziganshin; John A Elefteriades
Journal:  Indian J Thorac Cardiovasc Surg       Date:  2022-02-24

3.  Identification of COL3A1 variants associated with sporadic thoracic aortic dissection: a case-control study.

Authors:  Yanghui Chen; Yang Sun; Zongzhe Li; Chenze Li; Lei Xiao; Jiaqi Dai; Shiyang Li; Hao Liu; Dong Hu; Dongyang Wu; Senlin Hu; Bo Yu; Peng Chen; Ping Xu; Wei Kong; Dao Wen Wang
Journal:  Front Med       Date:  2021-05-28       Impact factor: 4.592

4.  Clinical Implications of Identifying Pathogenic Variants in Individuals With Thoracic Aortic Dissection.

Authors:  Brooke N Wolford; Whitney E Hornsby; Dongchuan Guo; Wei Zhou; Maoxuan Lin; Linda Farhat; Jennifer McNamara; Anisa Driscoll; Xiaoting Wu; Ellen M Schmidt; Elizabeth L Norton; Michael R Mathis; Santhi K Ganesh; Nicholas J Douville; Chad M Brummett; Jacob Kitzman; Y Eugene Chen; Karen Kim; G Michael Deeb; Himanshu Patel; Kim A Eagle; Dianna M Milewicz; Cristen J Willer; Bo Yang
Journal:  Circ Genom Precis Med       Date:  2019-06-18

5.  Evaluating the Feasibility of Screening Relatives of Patients Affected by Nonsyndromic Thoracic Aortic Diseases: The REST Study.

Authors:  Riccardo Giuseppe Abbasciano; Giovanni Mariscalco; Julian Barwell; Gareth Owens; Mustafa Zakkar; Lathishia Joel-David; Suraj Pathak; Adewale Adebayo; Nora Shannon; Rebecca Louise Haines; Hardeep Aujla; Bryony Eagle-Hemming; Tracy Kumar; Florence Lai; Marcin Wozniak; Gavin Murphy
Journal:  J Am Heart Assoc       Date:  2022-04-06       Impact factor: 6.106

Review 6.  The Genetics of Thoracic Aortic Aneurysms and Dissection: A Clinical Perspective.

Authors:  Nicolai P Ostberg; Mohammad A Zafar; Bulat A Ziganshin; John A Elefteriades
Journal:  Biomolecules       Date:  2020-01-24

7.  Idiopathic degenerative thoracic aneurysms are associated with increased aortic medial amyloid.

Authors:  Hannah A Davies; Eva Caamaño-Gutiérrez; Ya Hua Chim; Mark Field; Omar Nawaytou; Lorenzo Ressel; Riaz Akhtar; Jillian Madine
Journal:  Amyloid       Date:  2019-06-18       Impact factor: 7.141

8.  Clinically relevant variants in a large cohort of Indian patients with Marfan syndrome and related disorders identified by next-generation sequencing.

Authors:  Shalini S Nayak; Pauline E Schneeberger; Siddaramappa J Patil; Karegowda M Arun; Pujar V Suresh; Viralam S Kiran; Sateesh Siddaiah; Shreesha Maiya; Shrikanth K Venkatachalagupta; Neethukrishna Kausthubham; Fanny Kortüm; Isabella Rau; Alexandra Wey-Fabrizius; Lotte Van Den Heuvel; Josephina Meester; Lut Van Laer; Anju Shukla; Bart Loeys; Katta M Girisha; Kerstin Kutsche
Journal:  Sci Rep       Date:  2021-01-12       Impact factor: 4.379

Review 9.  Inherited Thoracic Aortic Disease: New Insights and Translational Targets.

Authors:  Alexander J Fletcher; Maaz B J Syed; Timothy J Aitman; David E Newby; Niki L Walker
Journal:  Circulation       Date:  2020-05-11       Impact factor: 29.690

Review 10.  Actin Mutations and Their Role in Disease.

Authors:  Francine Parker; Thomas G Baboolal; Michelle Peckham
Journal:  Int J Mol Sci       Date:  2020-05-10       Impact factor: 6.208

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