Literature DB >> 35506549

Lessons learnt from prenatal exome sequencing.

Natalie J Chandler1, Elizabeth Scotchman1, Rhiannon Mellis1,2, Vijaya Ramachandran1, Rowenna Roberts1, Lyn S Chitty1,2.   

Abstract

BACKGROUND: Prenatal exome sequencing (ES) for monogenic disorders in fetuses with structural anomalies increases diagnostic yield. In England there is a national trio ES service delivered from two laboratories. To minimise incidental findings and reduce the number of variants investigated, analysis uses a panel of 1205 genes where pathogenic variants may cause abnormalities presenting prenatally. Here we review our laboratory's early experience developing and delivering ES to identify challenges in interpretation and reporting and inform service development.
METHODS: A retrospective laboratory records review from 01.04.2020 to 31.05.2021.
RESULTS: Twenty-four of 116 completed cases were identified as challenging including 13 resulting in difficulties in analysis and reporting, nine where trio inheritance filtering would have missed the diagnosis, and two with no prenatal diagnosis; one due to inadequate pipeline sensitivity, the other because the gene was not on the panel. Two cases with copy number variants identified were not detectable by microarray.
CONCLUSIONS: Variant interpretation requires close communication between referring clinicians, with occasional additional examination of the fetus or parents and communication of evolving phenotypes. Inheritance filtering misses ∼5% of diagnoses. Panel analysis reduces but does not exclude incidental findings. Regular review of published literature is required to identify new reports that may aid classification.
© 2022 The Authors. Prenatal Diagnosis published by John Wiley & Sons Ltd.

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Year:  2022        PMID: 35506549      PMCID: PMC9325487          DOI: 10.1002/pd.6165

Source DB:  PubMed          Journal:  Prenat Diagn        ISSN: 0197-3851            Impact factor:   3.242


INTRODUCTION

Traditionally, genetic analysis following the sonographic identification of fetal structural abnormalities involves karyotyping and/or microarray analysis of a sample obtained by invasive procedures to detect aneuploidy and copy number variants (CNVs). With the decreasing cost of next generation sequencing (NGS), along with the development of rapid analytical pipelines, this has become an increasingly popular technique for rapid prenatal diagnosis. There are many hundreds of single gene conditions that may present in the prenatal period with anomalies detectable by prenatal imaging. Thus, whole exome sequencing (WES) is an attractive and potentially efficient approach, with diagnostic rates reported between 10% and 80%, , , , , , for clinical identification of disease‐causing variants to provide couples with a definitive diagnosis to aid decision‐making and pregnancy management. Our laboratory developed rapid prenatal clinical exome sequencing, initially focussing on fetuses with likely skeletal dysplasia. In this cohort we had a diagnostic yield of 86% with turnaround times falling to around 2 weeks. Following this success, in April 2020 we broadened the inclusion criteria to include any fetus with structural anomalies detected on prenatal imaging suggestive of a monogenic disorder where a diagnosis would impact pregnancy or neonatal management. These eligibility criteria were based on those agreed by the national team for a national service that was subsequently implemented on 1st October 2020 in the English Genomic Medicine Service, and do not include amniotic fluid or placental anomalies. Here we focus on discussing cases that have posed particular issues for reporting, to highlight challenges we encountered during the development and early months of the clinical service, and discuss how these may be overcome. We also review how many diagnoses would have been missed if inheritance filtering had solely been applied for the analysis. Finally, we report on any diagnoses identified after birth. For all cases described here trio whole exome sequencing (parents and fetus) was performed either after or concurrently with microarray testing, and sequencing was analysed with a panel of genes developed for conditions that present in the prenatal setting and can be seen by imaging. A panel approach is utilised to minimise detection of incidental findings and it also allows us to not solely rely on the use of inheritance filtering reducing the number of variants to be investigated. However, if incidental findings are identified that are actionable for the parents or fetus, these are discussed with the referring clinician and then reported, as demonstrated in cases C20‐22 (Table 2). Parents are advised during pre‐test counselling that such findings may arise occasionally. Here we also discuss how using inheritance filtering in the prenatal setting can miss fetal diagnoses. In this circumstance the analysis pipeline uses the assumption that both parents are unaffected and so if pipelines filter on inheritance patterns, the inherited autosomal dominant variants would be filtered out of the dataset and therefore not identified. In the situation where a parent is thought to be affected with the disease, this information can be submitted to the pipeline to prevent an inheritance filter from removing any dominant variants carried by both the proband and the affected parent.
TABLE 2

Cases where a diagnosis/likely diagnosis was reported

CaseReferral GAImaging findingsSequencing resultsInheritanceClassConditionOutcome
Challenges in variant interpretation – initially reported as VUS, subsequently upgraded (n = 3)
C120 + 0Partial agenesis of the corpus callosum; postaxial polydactyly; large hyperechogenic kidneys; VSD; Omphalocele CCND2 NM_001759.3 c.860_861delinsAA p.(Ile287Lys) HetAD de novo4Megalencephaly‐polymicrogyria‐polydactyly‐hydrocephalus syndrome‐3Later scans: macrocephaly, abnormal brain cortexToP. No PM
C222 + 0Aplasia/Hypoplasia of the cerebellar vermis; dilated 4th ventricle; long, thickened superior cerebellar peduncle TMEM67 NM_153704.5 c.622A  >  T p.(Arg208*) Het, Pat; c.2128A  >  G p.(Met710Val) Het, MatAR5;4Joubert syndrome 6ToP. No PM
Communication from another lab via ClinVar confirmed they also detected the c.2128A > G variant in trans with a LP variant in two siblings with features of Joubert syndrome (oculomotor apraxia and characteristic MRI findings). This confirmation of an additional proband enabled application of ACMG criterion PM3_Strong and upgrade of the variant from VUS to LP in our proband
C321 + 0Severe hydrops fetalis BICD2 NM_001003800.1 c.1624T  >  G p.(Cys542Gly) HetAD de novo4Lower extremity predominant spinal muscular atrophyNew literature suggests association with hydrops. Variant upgraded
ToP. PM: hydrops, hypoplastic lungs, fixed flexion deformities
Neuropathology suggests congenital myopathy or dystrophic process
Phenotype partial fit with recognised conditions (n = 1)
C416 + 2Increased NT; Micrognathia; abnormal heart (ventricular disproportion, narrow aorta with retrograde flow) CCDC103 NM_001258396.1 c.461A  >  C p.(His154Pro) Hom (parents both het)AR5Primary ciliary dyskinesia 17LB (full term). Postnatal examination: complex cardiac lesion including coarctation of the aorta & atrial isomerism, polysplenia. Consistent with PCD diagnosis
Autosomal dominant variants that would not be reported if inheritance filtering had been applied (n = 4)
C532 + 6Pleural effusion; Polyhydramnios FLT4 NM_182925.4 c.3432‐1G > A Het, MatAD Mat5Lymphatic malformation 1/Milroy diseaseLB. Ventilated for 3 days. Well since. Mum asymptomatic. Occasional swelling of feet
C630 + 0Increased NT; Hypoplastic cerebellar vermis; Pleural effusion PTPN11 NM_002834.3 c.417G > C p.(Glu139Asp) Het; EPHB4 NM_004444.5 c.2287C > T p.(Arg763*) Het PTPN11 AD de novo; EBHP4 AD Mat5;5Noonan syndrome & Lymphatic malformation 7/Capillary malformation‐arteriovenous malformation 2NND. PM confirmed prenatal findings
Mum: evidence of skin mosaicism with subtle capillary changes when examined after the sequencing results were known
C721 + 4Cloverleaf skull SOS1 NM_005633.3 c.1649T > C p.(Leu550Pro) HetAD Pat5Noonan syndrome 4Outcome unknown
No obvious features in Dad
C833 + 6Large hyperechogenic kidneys PKD2 NM_000297.4 c.419_452del p.(Gly140Alafs*82) HetAD Pat5AD polycystic kidney disease 2LB. Well, slightly echogenic kidneys
Dad unaware, asymptomatic. Scans showed renal and hepatic cysts
Autosomal dominant variants found to be mosaic in a parent
C921 + 0Short long bones; femoral bowing COL1A2 NM_000089.3 c.2845G > A p.(Gly949Ser) HetAD ‐ maternal mosaic in gDNA5Osteogenesis imperfectaLater scans multiple fractures. ToP
C1019 + 4Short long bone; increased NT; narrow chest; short ribs COL2A1 NM_001844.5 c.2365G > A p.(Gly789Ser) HetAD ‐ maternal mosaic in gDNA5 COL2A1‐skeletal dysplasiaNND. No PM. Mum known to have short stature and chest wall deformity thought to be constitutional
Autosomal recessive variants inherited from a parent that would not be reported if inheritance filtering had been applied
C1120 + 5Short, bowed long bones; Thoracic hypoplasia; frontal bossing DYNC2H1 NM_001080463.1 c.5558+2T > C Het, Pat; c.4909G > T p.(Asp1637Tyr) Het, MatAR5;3Short‐rib thoracic dysplasia 3Imaging findings strongly supportive of phenotype, but insufficient evidence to upgrade class 3 variant
ToP. PM: X‐rays support short‐rib thoracic dysplasia diagnosis, short ribs, humeri and femora, slightly bowed femora, trident acetabulum
C1225 + 1Hydrops fetalis; ventriculomegaly; Hyperechogenic kidneys PMM2 NM_000303.2 c.691G > A p.(Val231Met) Het; no second variantAR5Congenital disorder of glycosylation type 1aPathogenic variants in PMM2 known to cause hydrops but not specific to this gene. Variant reported for postnatal follow‐up where biochemical testing could be offered to confirm or rule out diagnosis if appropriate
LB. Clinical features of segmental overgrowth disorder. No relevant variant detected in blood (or in prenatal sample). Skin biopsy planned to look for mosaicism. No clinical features of CDG
C1320 + 6Ventriculomegaly; inferior cerebellar vermis hypoplasia; clenched hands RELN NM_005045.3 c.1989G > A p.(Trp663*) Het; no second variantAR5Lissencephaly 2Lissencephaly will not be seen on imaging at this gestation. For follow up at later gestation/postnatally
ToP. No PM
CNV detected by ES. Microarray normal (n = 2)
C1426 + 4Double aortic arch; cleft palate; Aplasia/Hypoplasia of the thymus KAT6A NM_006766.4 exon 13–17 deletion, Het (GRCh37 Chr8:41794775‐41801497)AD – de novo5Arboleda‐Tham syndromeLater scan showed trigonocephaly indicating craniosynostosis which is reported in KAT6A postnatally
ToP
C1512 + 0Short long bones; frontal bossingCOL1A1 NM_000088.3 ex 40–43 deletion, Het (GRCh37 Chr17:48265892‐48266636)AD de novo5Osteogenesis imperfectaNo PM
Ethical issue (n = 1)
C1628 + 0Increased NT; Hydronephrosis; Pulmonary stenosis; Ovarian cyst PTPN11 NM_002834.3 c.1517A > C p.(Gln506Pro) HetAD de novo5Noonan syndromeToP. Outcome unknown

Note: Variant classification10: 3 = variant of uncertain significance; 4 = likely pathogenic; 5 = pathogenic.

Abbreviations: ACMG, American College of Medical Genetics and Genomics; AD, autosomal dominant; AR, autosomal recessive; CNV, copy number variant; GA, gestational age; Het, heterozygous; Hom, homozygous; LB, live birth; Mat, maternally inherited; NND, neonatal death; NT, nuchal translucency; Pat, paternally inherited; PM, post‐mortem; ToP, termination of pregnancy; VSD, ventricular septal defect.

METHODS

Collection of this data has the ethical approval of GOSH clinical audit department (ref 2781). A summary of the clinical service and laboratory methodologies used is described below.

Patients

Referral requests were accepted from Clinical Genetics centres where patients were deemed to meet the following eligibility criteria: Fetus with multiple, multisystem, major structural and selected isolated abnormalities detected on fetal imaging where multidisciplinary review (to include clinical genetics, tertiary fetal medicine specialists, clinical scientists and relevant paediatric specialists) considers a monogenic malformation disorder is likely and molecular diagnosis may influence pregnancy or early neonatal management in the index pregnancy. In practice the fetal medicine specialist discusses the case with the local genetics team, this can be by phone or face to face in specialist clinics. The local clinical geneticist will then refer the case by email to the testing laboratory where the case is reviewed for eligibility by a team comprising clinical geneticists, clinical scientists and a fetal imaging expert. Usually the case is accepted but where the request is queried or declined further discussion with the local team occurs to determine eligibility and alternative testing approaches. Fetal ultrasound, and where available MRI, reports were assessed by local clinical geneticists with expertise in fetal dysmorphology to ensure the criteria were fulfilled. Cases were excluded if the reviewers thought the anomalies were unlikely to have a monogenic aetiology, where the result was unlikely to affect pregnancy management or where the anomalies did not meet the eligibility criteria. Once testing was agreed, written informed consent was obtained and parental and fetal samples collected. Rapid aneuploidy testing was carried out prior to prenatal exome sequencing to rule out the common aneuploidies and also exclude significant maternal cell contamination. Microarray analysis was carried out in parallel to the exome sequencing due to the need for rapid testing.

Laboratory methodology

Details of DNA extraction, exome sequencing, data analysis, gene panel and variant confirmation are given in online Appendix 1.

Variant prioritisation and classification

Whilst recognising that parts of the exome are refractory to sequencing, we perform whole exome sequencing, with analysis subsequently focussing on a panel of 1205 genes where there is deemed sufficient evidence for a prenatal phenotype detectable by imaging (see Genomics England PanelApp for more details ). The contents of this panel are reviewed regularly and updated every 6 months. Variants were classified according to the guidelines set out by the Association of Clinical Genetic Science (ACGS), which are based on the American College of Medical Genetics and Genomics (ACMG) guidelines. Figure 1 shows the steps taken for variant prioritisation. All pathogenic/likely pathogenic variants are screened. If a pathogenic variant that explained the fetal phenotype was found during the initial prioritisation steps, it was discussed with the referring clinical geneticist and if explanatory of the fetal phenotype remaining variants were not analysed. If no pathogenic variant was identified, all variants identified by the pipeline were investigated and classified. In more complex cases further multidisciplinary discussion with clinical scientists and clinical geneticists occurred. In the majority of cases, only pathogenic and likely‐pathogenic variants explaining the fetal phenotype were reported. In some cases variants of uncertain significance (VUS), which may explain the phenotype and only require a single piece of evidence to be upgraded, were taken to the multidisciplinary team for discussion and on occasion further examination of the fetus and/or parents was required. In some cases this allowed upgrading to pathogenic or likely pathogenic but in others, if a VUS had been discussed it was included on the report to highlight the need for further prenatal surveillance and postnatal investigations if appropriate.
FIGURE 1

Variant prioritisation flowchart. AR, autosomal recessive; CNVs, copy number variants

Variant prioritisation flowchart. AR, autosomal recessive; CNVs, copy number variants All reported variants were confirmed by Sanger sequencing prior to reporting using standard methodology (see online Appendix 1). CNVs were confirmed by quantitative real time PCR or multiplex ligation probe amplification using conventional methods.

Selection of cases that have posed challenges

We reviewed our laboratory database to identify those cases that had required complex multidisciplinary team discussion or further examination of fetus or parents prior to issuing a final report. We also identified those cases that would have not been diagnosed if inheritance filtering had been applied during analysis. Finally, we identified any case where prenatal sequencing did not identify a causative pathogenic/likely pathogenic (P/LP) variant, but a molecular diagnosis was subsequently made after birth (Table 1).
TABLE 1

Criteria for inclusion as a case of interest

CategoryCases identified
Trio inheritance filtering would have missed diagnosis (n = 9)Autosomal dominant condition – variable expressivity/“unaffected” parent heterozygous (C5, C7 and C8)
AD condition – parent somatic mosaic (C9 and C10)
Two AD pathogenic variants detected: 1 de novo and 1 inherited (C6)
One pathogenic variant reported in autosomal recessive gene (C11, C12 and C13)
Challenges in variant interpretation (n = 7)Evolving prenatal phenotype led to upgrade in variant classification during pregnancy (C1)
Partially able to explain phenotype (C4)
Variant of uncertain clinical significance reported requiring phenotypic follow up postnatally (C2, C17, C18 and C19)
New literature enabled upgrade to likely pathogenic (C3)
Ethical challenge (n = 1)Non‐paternity (C16)
Diagnoses not detected by fetal exome sequencing (n = 2)Mosaic pathogenic variant <10% in fetal sample not detected due to pipeline sensitivity (C23)
Gene not on fetal anomalies panel (C24)
Copy number variant (n = 2)Multi‐exon deletions or duplications not detected by microarray (C14 and C15)
Incidental findings (n = 3)Variants reported in parents irrelevant to current pregnancy but with implications for future pregnancies or parental health (C20, C21 and C22)

Abbreviation: AD, autosomal dominant.

Criteria for inclusion as a case of interest Abbreviation: AD, autosomal dominant.

RESULTS

We identified 24 (20.9%) of 113 cases sequenced as a trio and two as a duo (C19 & C22), including 13 (11.3%) raising issues in analysis or reporting, nine (7.8%) where trio inheritance filtering would have missed the diagnosis and two (1.7%) cases where the diagnosis was missed by our pipeline (Table 1). In 16 of these cases pathogenic variants were ultimately reported with 13 of these consistent with a diagnosis that explained (or partially explained) the phenotype (Table 2). In three cases only a single pathogenic variant was identified in a recessive gene compatible with the phenotype so a diagnosis could not be confirmed. In six cases variants were reported following multidisciplinary team discussion but without confirmation of diagnosis, including variants of uncertain significance (n = 3) where further examination after birth may help confirm a diagnosis, and incidental findings of relevance to parents only (n = 3). Reasons for reporting are detailed in Table 3.
TABLE 3

Cases where variants of uncertain significance and incidental findings were reported

CaseReferral GAImaging findingsFetal sequencing resultsInheritanceClassificationConditionReason for reporting and outcome
Variants reported as VUS with recommendation for postnatal examination
C1732 + 0Double outlet right ventricle, VSD; Persistent left superior vena cava; Horseshoe kidney; duplex kidney.No pathogenic variants; SALL1 NM_002968.2 c.1072T > C p.(Ser358Pro) HetAD − de novo3Townes‐Brocks syndrome 1Insufficient evidence for PS2 and PP4 evidence. Reported for postnatal follow‐up
LB (38 + 6). Cardiac abnormality, horseshoe kidney, hypospadias, sacral dimple, micrognathia, dysplastic ears. Normal development
C1822 + 6Tetralogy of Fallot; short femurNo pathogenic variants; NOTCH2 NM_024408.3 c.5683C > G p.(Arg1895Gly) HetAD Mat3Alagille syndrome 2Gene may be relevant maternally, with variable expressivity. Recommend examination of mother and baby
LB (term). Tetralogy of fallot, no butterfly vertebrae or renal anomalies
C1926 + 4Ventriculomegaly, pyelectasis; Hyperechogenic kidneys; Polyhydramnios; muscular VSDNo pathogenic variants; MACF1 NM_012090.5 c.15608G > C p.(Arg5203Pro) HetAD3Lissencephaly 9Paternal sample unavailable and lissencephaly may not be seen at this gestation
LB (38 + 4). Bilateral ventriculomegaly, grossly dilated right pelvic kidney, normal left kidney. Further follow up planned to assess CNS and development
Incidental findings reported in parent(s) to enable parental health management or inform reproductive choices
C2016 + 0Abnormal tricuspid valve; Hypoplastic right ventricle; hydrops fetalisNo pathogenic variants; GLA NM_000169.2 c.946G > A p.(Val316Ile) hemizygous variant of uncertain significance heterozygous in motherXL3Fabry diseaseReported in mother for clinical follow up & enzyme testing. Miscarriage
C2125 + 6Arthrogryposis multiplex congenita; MicrognathiaNo pathogenic findings to explain phenotype in this pregnancy. Fetus and parents all TGM1 NM_000359.2 c.1469A > G p.(Asp490Gly) HetAR4Congenital ichthyosis type 1Reported in parents only, 1:4 risk in future pregnancies
ToP. PM: Prenatal findings confirmed. Small hindbrain, dysplastic dentate and inferior olivary nuclei; dysmorphic facial features: no unifying clinical diagnosis
C2228 + 5Interrupted aortic arch; congenital diaphragmatic herniaNo pathogenic variants; incidental finding of DHCR7 NM_001360.2 c.964‐1G > C in fetus and mother, both hetAR5Smith‐Lemli‐OpitzVariant does not explain phenotype but reported as it is a common variant for the condition. Patient is using a sperm donor and therefore donor DNA could be tested so that future pregnancies were not at risk
NND. Diaphragmatic hernia

Note: Variant classification10: 3 = variant of uncertain significance; 4 = likely pathogenic; 5 = pathogenic.

Abbreviations: AD, autosomal dominant; AR, autosomal recessive; GA, gestational age; Het, heterozygous; Hom, homozygous; LB, live birth; Mat, maternally inherited; NND, neonatal death; NT, nuchal translucency; Pat, paternally inherited; PM, post‐mortem; ToP, termination of pregnancy; VSD, ventricular septal defect.

Cases where a diagnosis/likely diagnosis was reported Note: Variant classification10: 3 = variant of uncertain significance; 4 = likely pathogenic; 5 = pathogenic. Abbreviations: ACMG, American College of Medical Genetics and Genomics; AD, autosomal dominant; AR, autosomal recessive; CNV, copy number variant; GA, gestational age; Het, heterozygous; Hom, homozygous; LB, live birth; Mat, maternally inherited; NND, neonatal death; NT, nuchal translucency; Pat, paternally inherited; PM, post‐mortem; ToP, termination of pregnancy; VSD, ventricular septal defect. Cases where variants of uncertain significance and incidental findings were reported Note: Variant classification10: 3 = variant of uncertain significance; 4 = likely pathogenic; 5 = pathogenic. Abbreviations: AD, autosomal dominant; AR, autosomal recessive; GA, gestational age; Het, heterozygous; Hom, homozygous; LB, live birth; Mat, maternally inherited; NND, neonatal death; NT, nuchal translucency; Pat, paternally inherited; PM, post‐mortem; ToP, termination of pregnancy; VSD, ventricular septal defect.

Challenges in variant interpretation

In three cases (C1, C2 and C3) variants were initially reported as VUS but were upgraded to pathogenic following further information received regarding the variant from another diagnostic laboratory from the ClinVar entry (C2), the phenotype evolving at a scan later in gestation to be more aligned with published reports (C1) and new data published in the literature (C3). A pathogenic variant was reported in one fetus (C4) after multidisciplinary team discussion (MDT) even though the prenatal phenotype only partially matched the recognised phenotype. This case was an early diagnosis of a fetal cardiac anomaly initially presenting as increased nuchal translucency (NT) and the early gestation was thought to preclude detection of other potential associated anomalies. Postnatal examination however allowed better characterisation of the cardiac anomaly and revealed additional features consistent with the prenatally reported pathogenic variant (Table 2). In three cases variants were reported as VUS with recommendations for postnatal follow up (C17, C18 and C19). In one case (C17) the variant arose de novo in the fetus, but in another (C18) it was maternally inherited but known variability in expression did not allow for definitive reporting as pathogenic. In the third case (C19) inheritance could not be determined as a paternal sample was unavailable.

Variants identified in parental DNA for autosomal dominant or recessive conditions that would have been missed by inheritance filtering

In six cases autosomal dominant (AD) conditions were identified where an apparently “unaffected” parent was also found to have the pathogenic variant (Table 2). Three cases where the parent was heterozygous for the variant (C5, C7 and C8) and two cases (C9 and C10) maternal somatic mosaicism was identified at levels of ∼6% and ∼28% respectively. In C10 the fetus had a lethal phenotype inherited from the mother who was subsequently found to have mild features of the condition. In the sixth case (C6) there were two diagnoses, a maternally inherited pathogenic variant and a de novo pathogenic variant (Table 2). There were three cases where a single pathogenic variant in a recessive gene compatible with the phenotype had been inherited from one parent, but no second P/LP variant was identified. In these cases, the variants were reported and examination after birth confirmed the diagnosis in one case, but confirmation was not obtained in the other two (Table 2).

Non‐paternity

Analysis of case C16 identified no inherited paternal variants. After further testing and multidisciplinary team discussions this was determined to be due to non‐paternity. This was discussed with the referring clinician who confirmed the situation with the mother. A diagnosis of Noonan syndrome was identified in the fetus however the inheritance of the variant could not be determined, and sequencing results in the parents were not reported.

Copy number variants

Two multi‐exon pathogenic deletions were detected by our analysis (Figure 2 case C14 and Figure 3 case C15). Neither of these were detected by microarray performed concurrently due to the small size of the deletions and a lack of probes within the region. For both cases the breakpoints could be seen in the sequencing reads (see Figures 2 and 3) allowing for accurate classification of the deletions. Both deletions were confirmed by alternative methods.
FIGURE 2

KAT6A exon 13–17 deletion detected in C14. (A) Results from our CNV analysis tool indicating a deletion of exons 13–16 of the KAT6A gene. The blue dot represents normal copy number and red dot a deletion. The grey area shows the variance in read depth for the other samples on the run. (B) The sequencing reads at the identified breakpoints. The blue box shows the matching reference sequence from intron 13 that can be seen in the reads mapping to exon 17 with an insertion of GA in between. The red box indicates the matching reference sequence from exon 17 seen in intron 12, again with an insertion of GA. The CNV analysis results did not indicate a deletion of exon 17 however the results were out of the normal range. This is consistent with the breakpoint being within the exon and with it not being called due to the size of the exon. CNV, copy number variant; GA, gestational age

FIGURE 3

COL1A1 exon 40–43 deletion detected in C15. (A) Results from our CNV analysis tool indicating a deletion of exons 40–43 of the COL1A1 gene. The blue dot represents normal copy number and red dot a deletion. The grey area shows the variance in read depth for the other samples on the run. (B) The sequencing reads at the identified breakpoints. The blue box shows the matching reference sequence from intron 39 that can be seen in the reads mapping to exon 43 with insertion of GGGA from the exon 43 sequence in between. The red box indicates the matching reference sequence from exon 43 seen in intron 39, again with an insertion of GGGA. CNV, copy number variant

KAT6A exon 13–17 deletion detected in C14. (A) Results from our CNV analysis tool indicating a deletion of exons 13–16 of the KAT6A gene. The blue dot represents normal copy number and red dot a deletion. The grey area shows the variance in read depth for the other samples on the run. (B) The sequencing reads at the identified breakpoints. The blue box shows the matching reference sequence from intron 13 that can be seen in the reads mapping to exon 17 with an insertion of GA in between. The red box indicates the matching reference sequence from exon 17 seen in intron 12, again with an insertion of GA. The CNV analysis results did not indicate a deletion of exon 17 however the results were out of the normal range. This is consistent with the breakpoint being within the exon and with it not being called due to the size of the exon. CNV, copy number variant; GA, gestational age COL1A1 exon 40–43 deletion detected in C15. (A) Results from our CNV analysis tool indicating a deletion of exons 40–43 of the COL1A1 gene. The blue dot represents normal copy number and red dot a deletion. The grey area shows the variance in read depth for the other samples on the run. (B) The sequencing reads at the identified breakpoints. The blue box shows the matching reference sequence from intron 39 that can be seen in the reads mapping to exon 43 with insertion of GGGA from the exon 43 sequence in between. The red box indicates the matching reference sequence from exon 43 seen in intron 39, again with an insertion of GGGA. CNV, copy number variant

Diagnoses missed by our pipeline

In one fetus presenting prenatally with a clover‐leaf skull, absent septum pellucidum cavum, cardiac abnormalities and a barrel shaped chest, no P/LP variant was identified by our pipeline but the diagnosis of Curry‐Jones syndrome was suspected on examination after birth. Subsequent review of the sequencing data identified a recurrent pathogenic variant in SMO in 6/212 (3%) of reads in the amniotic fluid DNA. The presence of the variant was confirmed using an alternate capture with deeper sequencing 57/1858 reads (3%) confirming the diagnosis. Curry‐Jones syndrome is caused by varying degrees of somatic mosaicism and can on occasion not be detected in blood or saliva. Levels of somatic mosaicism reported are variable and can be very low. Thus the low level found in amniotic fluid may not necessarily reflect levels in other tissues and is compatible with other reports of this syndrome. In another fetus presenting with absent corpus callosum, bilateral ventriculomegaly, absent cavum septum pellucidum, cerebellar and brainstem hypoplasia, no P/LP variant was identified. Postnatal MRI showed pachygyria, and brainstem and basal ganglia morphology that suggested a tubulinopathy. DNA was sent for whole genome sequencing and a de novo heterozygous c.182A  >  G p.(Gln61Arg) likely pathogenic variant was identified in the RAC3 gene consistent with a neurodevelopmental disorder with structural brain anomalies and dysmorphic facies. This gene was not included in the fetal anomalies panel at the time of analysis.

DISCUSSION

Our review has shown that in 11.3% of cases challenges were encountered in analysis or reporting, in 7.8% inheritance filtering would result in missing a fetal diagnosis, and that our analysis pipeline missed the diagnosis in 1.7% of samples tested. The high percentage of cases posing challenges shows that it is a complex service to run and clearly requires multidisciplinary team working, especially when working with the time pressures required for rapid delivery of results to inform pregnancy management.

Dangers of solely relying on inheritance filtering

Trio inheritance filtering is performed to reduce the number of variants requiring analysis to expedite reporting. This analysis relies on the clinical status of the parents being unaffected and will only filter variants of interest if they fit with the required inheritance pattern; thus de novo in the fetus for an AD condition, compound heterozygous or homozygous in the fetus for an autosomal recessive (AR) condition and hemizygous for X‐linked conditions with the mother carrier (or de novo). In our cohort relying on this approach for analysis would have missed P/LP variants in nine cases (7.8%) (Table 2), three due to inherited AD conditions inherited from mildly affected/“unaffected” parents, two due to somatic mosaicism in the parents and three single pathogenic variants reported in a recessive gene compatible with the phenotype. In the ninth case two pathogenic variants were identified (C6), one de novo and one inherited. If inheritance filtering alone had been used in this case the inherited diagnosis, with the higher recurrence risk, would have been missed. There have been other cases with a dual diagnosis reported in literature in prenatal exome cohorts and therefore a potential second diagnosis should be considered in any analysis pipeline. Imprinted genes also need to be considered. We have not encountered this yet, but there is a report of a MAGEL2 pathogenic variant inherited from the father who is unaffected due to the pathogenic variant being on his maternally inherited allele. Many AD conditions have variable expressivity and age of onset and parents may often be unaware of carrier status, as with some of our cases (Table 2) and others reported in the literature. , , , , , , Further, referrals for fetal exome sequencing come from fetal medicine units, often with limited input from clinical geneticists and so examination of parents and ascertaining the family history may be more limited. Indeed, the father may often not be present at the time of the scan. The occasional identification of parental carrier status is something that should be included in parental pre‐test counselling. Parental mosaicism must also be considered when applying filters to exome datasets as seen in two of our cases (C9 and C10, Table 2). In one case a heterozygous COL1A2 variant was identified that was initially thought to have arisen de novo in the fetus. Parental sequencing reads were inspected at the site of the variant as per laboratory policy and the variant was seen in about 6% of reads from the unaffected mother, too low to be called by our pipeline. Although in this case the use of inheritance filtering would not have changed the outcome, it highlights an important consideration for mosaicism and the need for manual inspection of parental sequencing reads for all “de novo” cases, as recurrence risks in this case are now high, as compared to a germline mosaic risk. In our second case (C10), the fetus had a lethal phenotype and the mother was subsequently diagnosed with mild features when examined by a clinical geneticist when returning the ES results. Asymptomatic parents may be a somatic mosaic for a pathogenic variant with a variant allele frequency (VAF) high enough to be called by a variant caller, but these variants may then be filtered out if the inheritance does not fit that expected based on the family history and clinical information available. In the prenatal setting this is especially important to consider for conditions such as osteogenesis imperfecta, which often presents prenatally and for which mosaicism , and variable expressivity , are common and have been reported previously. , It is therefore crucial that mosaicism is considered when designing pipelines and cut‐offs for VAFs, although this will highly depend on the quality of the sequence data and will often not be straight forward. For cases with AR inheritance diagnoses can be missed where only one potentially pathogenic heterozygous variant is identified, or if they do not fit the expected inheritance (i.e., both parents are not carriers). For cases with single pathogenic variants the second variant could be missed due to the presence of a CNV on the other allele (if the pipeline does not take this into consideration), gaps in the coverage of the gene, or if the second variant is not detectable by exome sequencing, for example, because it is deeply intronic. For cases that do not fit the expected inheritance pattern there could be uniparental disomy or a de novo variant on the other allele. It is important to note that it is not routine practice to report all single pathogenic variants identified in prenatal ES cases and that MDT discussion is crucial to ensure the variant fits the fetal phenotype. Further postnatal investigations should be encouraged in this situation as these may confirm a diagnosis as with our case (C11) (Table 2) and others reported in the literature, , enabling accurate counselling with regard to a 1:4 recurrence risk. In our laboratory we aim to only report P/LP variants consistent with the fetal phenotype but VUSs may be reported when they are considered “hot” class 3s (where they only require a single piece of evidence to be upgraded, such as phenotypic fit or publication in the literature) and reporting is agreed at multidisciplinary team meetings. This is in agreement with others. There are increasing examples of new prenatal phenotypes being identified in conditions with a well‐recognised postnatal phenotype that is very different from that which we see prenatally, , or ones that evolve as pregnancy progresses. In our series this was illustrated by two cases (C14 and C1) (Table 2). The phenotype of postnatal cohorts reported with KAT6A pathogenic variants , did not align with the prenatal findings in our case until craniosynostosis developed in the third trimester. Similarly in another case (C1) it was only when later scans showed the development of macrocephaly and cortical abnormalities in keeping with postnatal findings in this condition, that the CCND2 variant was upgraded to class 4 LP. Both of these cases show the need for repeat scans and ongoing multidisciplinary discussions to identify new and evolving phenotypes that may alter variant classification. Further changes in classification may arise from new information in the literature (C3) or received from another laboratory (C2). The case with a BICD2 variant presented with hydrops (C3), but at the time of initial reporting this was not a reported feature of this condition, but the following week a paper was published linking hydrops to a BICD2 pathogenic variant, allowing upgrade to LP. More evidence was found from the post‐mortem which showed the typical histological changes. This also illustrates the value of a post‐mortem even when a molecular diagnosis has been made to document evidence of prenatal phenotypes for the future. The value of data sharing was shown in our case (C2) with biallelic TMEM67 variants. Initial classification of the paternally inherited variant was pathogenic, but the maternal variant only had sufficient evidence for a VUS. This variant was in ClinVar as pathogenic, and after several weeks we received further information regarding segregation in affected family members, enabling reclassification to class 4, LP. The cases discussed above are examples of how changing prenatal phenotypes or new information can change variant classification during pregnancy, but there are also cases where information may only be available postnatally, or where early ultrasound may limit prenatal phenotyping (C4). We identified a number of cases (C17, C18 and C19) where the variants have remained VUS awaiting postnatal follow‐up (Table 2). It is therefore important that parents are counselled that they may receive an uncertain result when undergoing prenatal ES and that results reported may change over the course of the pregnancy as the phenotype evolves (C1, C14) or as new information becomes available from the literature (C3) or another laboratory (C2), and that in some cases the uncertainty may persist until further investigation after birth (C17, C18, C19) (Table 2). From the health professional perspective, many of these cases illustrate the need to share data and publish new phenotypes as they are identified.

Incidental findings

In England the current policy for genome sequencing both pre‐ and postnatally is to minimise identification of incidental findings by using a panel approach to analysis. However, in three of our cases variants were reported in parents but not the fetus, as they may have implications for a parent's health (C20) or risks for future pregnancies (C21 and C22) (Table 3).

Ethical issues

There was one case of non‐paternity in our cohort (C16, Table 2) whereby a heterozygous supposedly de novo pathogenic PTPN11 variant was identified in the fetus but no paternally inherited variants, and there were many other variants called as de novo. This presented a challenge in how to report the case and the likely recurrence risk, complicated by the fact that pathogenic variants in the PTPN11 gene have variable expressivity and therefore the biological father could be affected but not aware. The case exemplifies that unlike conventional genetic prenatal testing methodologies trio ES will detect non‐paternity and therefore this needs to be made clear in any pre‐test counselling so that the family are prepared for situations like this.

Microarrays should be run in parallel

Microarray is still the gold standard for detecting copy number variants in fetuses with structural anomalies and we perform ES concurrently with microarray. The resolution of microarray depends on the probe capture used; in our laboratory this is 300 kb. In our cohort, we identified two pathogenic multi‐exon deletions that were not detected by microarray due to the size of the deletions and the lack of probes in the region. In addition, we were able to accurately map the breakpoints which is not achievable using microarray thus allowing for a more accurate classification of the deletions. These cases further demonstrate the utility of short‐read sequencing to detect CNVs as reported by others, , but that microarray should be performed as CNV detection by ES is limited to exons or in close proximity to exons. This may change if whole genome sequencing is performed.

Diagnoses missed by our analysis approach

In two fetuses, no LP/P variants were identified by our pipeline, but postnatal clinical examination raised suspicion of a genetic condition. In the first case, the diagnosis of Curry‐Jones syndrome was missed due to low level (6%) somatic mosaicism of the pathogenic variant. This is below the known sensitivity of our pipeline which is 10%. This raises two issues. The first, that it is important to be aware of limitations of the pipeline and clearly state sensitivity settings on report. The second, that interpretation of mosaicism detected from analysis of amniocytes may be difficult to interpret prenatally in the absence of a clinical phenotype. The second case had a RAC3 pathogenic variant, but at the time of reporting this gene was not included on the fetal panel in PanelApp as the phenotype for pathogenic variants in this gene has only been described recently both postnatally and prenatally and it therefore hadn't yet been reviewed for addition to the panel. This demonstrates the limitations of a panel‐based analysis and also the importance of keeping abreast of current literature to regularly update panels applied to ES data and of data sharing. Additionally, the panel version should be clearly stated on the report, so the referrer is able to assess which genes have been analysed. Finally, we recognise that in using a panel approach to analyse the whole exome sequencing we will not identify novel genes, but this approach has been taken to enable a rapid turnaround time with equity of access to testing across the whole country. Having the whole exome available can enable further investigation over time, but not in the time course to influence pregnancy management.

CONCLUSIONS

In conclusion, solely applying inheritance filtering will potentially miss a significant proportion of pathogenic variants. The panel approach to analysing the whole exome reduces but does not eliminate incidental findings and precludes identification of novel genes. As the prenatal phenotype is often incomplete or evolving, close communication between referring clinicians and clinical scientists is required for interpretation of sequence data, with additional detailed examination of the fetus or parents needed in some cases. Finally, close attention to the published literature is required to identify new reports that may aid classification and also identify new genes for addition to panels so that they stay up to date. Parents and health professionals should also be aware that testing is complex and further examination of the fetus, parents or neonate may be required to reach a diagnosis, and that sometimes this may have implications for the parents' own health.

CONFLICT OF INTEREST

The authors declare that there is no conflict of interest. Supplementary Material Click here for additional data file.
  31 in total

1.  Lessons from exome sequencing in prenatally diagnosed heart defects: A basis for prenatal testing.

Authors:  Dominik S Westphal; Gloria S Leszinski; Esther Rieger-Fackeldey; Elisabeth Graf; Gregor Weirich; Thomas Meitinger; Eva Ostermayer; Renate Oberhoffer; Matias Wagner
Journal:  Clin Genet       Date:  2019-03-28       Impact factor: 4.438

2.  Variable expressivity of osteogenesis imperfecta in a Brazilian family due to p.G1079S mutation in the COL1A1 gene.

Authors:  M V D Moraes; M Milanez; B V P Almada; V Sipolatti; M R G O Rebouças; V R R Nunes; A N Akel; M Zatz; F I V Errera; I D Louro; F Paula
Journal:  Genet Mol Res       Date:  2012-09-13

3.  Recurrence of perinatal lethal osteogenesis imperfecta in sibships: parsing the risk between parental mosaicism for dominant mutations and autosomal recessive inheritance.

Authors:  Shawna M Pyott; Melanie G Pepin; Ulrike Schwarze; Kathleen Yang; Gretchen Smith; Peter H Byers
Journal:  Genet Med       Date:  2011-02       Impact factor: 8.822

4.  Prenatal imaging features related to RAC3 pathogenic variant and differential diagnoses.

Authors:  Sara Cabet; Alexandre Vasiljevic; Audrey Putoux; Audrey Labalme; Damien Sanlaville; Nicolas Chatron; Gaetan Lesca; Laurent Guibaud
Journal:  Prenat Diagn       Date:  2022-02-09       Impact factor: 3.050

5.  Accurate clinical detection of exon copy number variants in a targeted NGS panel using DECoN.

Authors:  Anna Fowler; Shazia Mahamdallie; Elise Ruark; Sheila Seal; Emma Ramsay; Matthew Clarke; Imran Uddin; Harriet Wylie; Ann Strydom; Gerton Lunter; Nazneen Rahman
Journal:  Wellcome Open Res       Date:  2016-11-25

6.  Clinical exome sequencing for fetuses with ultrasound abnormalities and a suspected Mendelian disorder.

Authors:  Elizabeth A Normand; Alicia Braxton; Salma Nassef; Patricia A Ward; Francesco Vetrini; Weimin He; Vipulkumar Patel; Chunjing Qu; Lauren E Westerfield; Samantha Stover; Avinash V Dharmadhikari; Donna M Muzny; Richard A Gibbs; Hongzheng Dai; Linyan Meng; Xia Wang; Rui Xiao; Pengfei Liu; Weimin Bi; Fan Xia; Magdalena Walkiewicz; Ignatia B Van den Veyver; Christine M Eng; Yaping Yang
Journal:  Genome Med       Date:  2018-09-28       Impact factor: 11.117

7.  Evaluation of Diagnostic Yield in Fetal Whole-Exome Sequencing: A Report on 45 Consecutive Families.

Authors:  Lior Greenbaum; Ben Pode-Shakked; Shlomit Eisenberg-Barzilai; Michal Dicastro-Keidar; Anat Bar-Ziv; Nurit Goldstein; Haike Reznik-Wolf; Hana Poran; Amihai Rigbi; Ortal Barel; Aida M Bertoli-Avella; Peter Bauer; Miriam Regev; Annick Raas-Rothschild; Elon Pras; Michal Berkenstadt
Journal:  Front Genet       Date:  2019-06-25       Impact factor: 4.599

8.  Expanding the Clinical Spectrum of Osteogenesis Imperfecta Type V: 13 Additional Patients and Review.

Authors:  Yang-Jia Cao; Zhe Wei; Hao Zhang; Zhen-Lin Zhang
Journal:  Front Endocrinol (Lausanne)       Date:  2019-06-12       Impact factor: 5.555

9.  Diagnostic yield of exome sequencing for prenatal diagnosis of fetal structural anomalies: A systematic review and meta-analysis.

Authors:  Rhiannon Mellis; Kathryn Oprych; Elizabeth Scotchman; Melissa Hill; Lyn S Chitty
Journal:  Prenat Diagn       Date:  2022-05-07       Impact factor: 3.242

10.  High diagnosis rate for nonimmune hydrops fetalis with prenatal clinical exome from the Hydrops-Yielding Diagnostic Results of Prenatal Sequencing (HYDROPS) Study.

Authors:  Huda B Al-Kouatly; Mona M Makhamreh; Stephanie M Rice; Kelsey Smith; Christopher Harman; Andrea Quinn; Breanna N Valcarcel; Brandy Firman; Ruby Liu; Madhuri Hegde; Elizabeth Critchlow; Seth I Berger
Journal:  Genet Med       Date:  2021-03-08       Impact factor: 8.822

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  2 in total

1.  Lessons learnt from prenatal exome sequencing.

Authors:  Natalie J Chandler; Elizabeth Scotchman; Rhiannon Mellis; Vijaya Ramachandran; Rowenna Roberts; Lyn S Chitty
Journal:  Prenat Diagn       Date:  2022-05-07       Impact factor: 3.242

Review 2.  Next Generation Sequencing after Invasive Prenatal Testing in Fetuses with Congenital Malformations: Prenatal or Neonatal Investigation.

Authors:  Alexandra Emms; James Castleman; Stephanie Allen; Denise Williams; Esther Kinning; Mark Kilby
Journal:  Genes (Basel)       Date:  2022-08-24       Impact factor: 4.141

  2 in total

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