Noninvasive Prenatal Diagnosis for Single-Gene Disorders


Key Points

  • Noninvasive prenatal diagnosis (NIPD) based on analysis of cell-free DNA in maternal plasma for fetal sex determination is now an established clinical service in many countries.

  • NIPD for a small number of single-gene disorders, including achondroplasia, thanatophoric dysplasia, Apert and Crouzon syndromes, congenital adrenal hyperplasia and cystic fibrosis, is now offered in accredited clinical practice in the United Kingdom.

  • NIPD for monogenic disorders offers definitive diagnosis and, unlike noninvasive prenatal testing or screening (NIPT or NIPS) for aneuploidy, does not require an invasive test for confirmation of diagnosis.

  • The potential to test for a wide range of other conditions has been demonstrated, and new technologies and approaches are allowing the development of NIPD for conditions with a more complex genetic basis.

  • Potential service users and health professionals value the opportunity to have a test with no risk for miscarriage that is available early in pregnancy and easy to access.

  • Uptake of NIPD is likely to be high, and many women unlikely to request invasive testing would have NIPD if available to inform decisions about termination or to prepare for the birth of an affected child.

  • NIPD care pathways using straightforward approaches for the exclusion of paternal or de novo mutant alleles are less expensive than invasive testing. However, more complex approaches and likely increased uptake will increase costs above those for invasive testing.

Introduction

The identification of cell-free fetal DNA (cffDNA) circulating in maternal plasma, which is present from early in pregnancy, has paved the way for the development of noninvasive prenatal diagnosis (NIPD), avoiding the small miscarriage risk associated with invasive prenatal diagnosis. The cffDNA is rapidly cleared from the maternal circulation after delivery, and because the whole fetal genome is represented, it offers scope for comprehensive prenatal diagnosis. NIPD for monogenic disorders is diagnostic, and results do not require confirmation on chorionic villi or amniocytes obtained by invasive testing as diagnosis is undertaken in pregnancies known to be at increased risk because of family history or sonographic findings and is targeted at a specific gene or panel of genes. This contrasts with noninvasive prenatal testing or screening (NIPT or NIPS) for aneuploidy, which is considered a very sensitive screening test requiring an invasive test to confirm a positive result ( Table 22.1 ). This is because cffDNA emanates from the placenta, and testing maternal plasma can detect confined placental mosaicism, and because the majority of cell-free DNA (cfDNA) in maternal plasma comes from the mother herself, NIPT can reveal unexpected maternal chromosomal rearrangements. Although maternal mosaicism can complicate NIPD for monogenic disorders, this can be taken into account by testing maternal genomic DNA (gDNA) in parallel with the cfDNA, but as far as we are aware, placental mosaicism for cell lines containing mutations found in single-gene disorders has not been reported.

TABLE 22.1
Comparison of the Features of Noninvasive Prenatal Diagnosis for Monogenic Disorders and Noninvasive Prenatal Testing (or Screening) for Aneuploidy
NIPD for Single-Gene Disorders NIPT for Aneuploidy
Type of test Diagnostic Screening
Confirmation by invasive testing Not required Required
Approach Analysis targets possible changes to one or more specific genes Analysis across all chromosomes or selected chromosomes
Placental mosaicism Placental mosaicism for cell lines containing mutations for single gene disorders not reported; does not detect chromosomal mosaicism False positives can occur because of detection of chromosomal cell lines confined to the placenta (CPM)
Maternal mosaicism Controlled for by concurrently testing maternal genomic DNA False positives can occur because of maternal mosaicism for chromosomal cell lines
Maternal chromosomal rearrangements Not detected Discordant results may result from detection of maternal chromosomal rearrangements, particularly if using the whole-genome sequencing approach
Maternal tumour cell lines Not detectable May be detected if using the whole-genome sequencing approach
CPM, Confined placental mosaicism; NIPD, noninvasive prenatal diagnosis; NIPT, noninvasive prenatal testing.

Differences between NIPD and NIPT also apply to the timing of testing, largely because any cffDNA-based test is affected by the fetal fraction. The fetal fraction increases as pregnancy progresses, usually reaching a level that can be used for testing in straightforward applications such as the detection or exclusion of an allele not present in the maternal genome, for example, fetal sex determination, by 7 weeks’ gestation. However, for more complex applications that require accurate quantification (e.g., aneuploidy screening), accurate testing usually requires higher levels of cffDNA, which are attained around 10 to 12 weeks in most pregnancies. It is therefore critical that the gestational age is determined using ultrasonography before embarking on cfDNA testing. Furthermore, ultrasonography should be used to look for evidence of multiple pregnancies, which may complicate results. If an empty sac or ‘vanishing twin’ is identified, this may lead to false-positive results because the placenta continues to shed cffDNA in the absence of a fetal pole. NIPD is possible in multiple pregnancies, but in the absence of any abnormal ultrasound findings, it is not possible to tell which fetuses are affected, and invasive testing will be needed for definitive diagnosis. However, in dizygotic twins, it may be possible to analyse single nucleotide polymorphisms (SNPs) to measure variations in the fetal fraction between genomic regions to determine zygosity and analyse the fetal fragments for each fetus.

It is not possible to separate maternal and fetal cfDNA and, as described earlier, any test based on analysing cfDNA in maternal plasma will analyse both the maternal and fetal fractions, the maternal fraction being the most abundant. Consequently, the early clinical applications of NIPD focussed on the detection of paternal alleles or those arising de novo that were therefore not present in the mother (e.g., fetal sex determination, fetal RHD typing in RhD-negative mothers, paternally inherited single-gene disorders , or single-gene disorders arising de novo , such as achondroplasia ). NIPD can also be used in pregnancies at risk for autosomal recessive conditions if the parents are heterozygous for different mutations. In these cases, termed ‘paternal exclusion testing’, if the paternal allele is identified in maternal plasma, an invasive test is still required for definitive prenatal diagnosis to determine inheritance of the maternal allele and see whether the fetus is affected or not.

Many different laboratory approaches have been reported for NIPD, largely in research settings ( Table 22.2 ). New technologies, such as massively parallel sequencing (MPS), that allow accurate quantification of specific sequences has meant that tests are now being developed that take into account the presence of the maternal cfDNA, thus allowing diagnosis of autosomal recessive X-linked conditions.

TABLE 22.2
Studies Reporting Noninvasive Prenatal Diagnosis for Single-Gene Disorders Published Between January 2000 and August 2016
Adapted from Lench N, Barrett A, Fielding S, et al. The clinical implementation of non-invasive prenatal diagnosis for single gene disorders: challenges and progress made. Prenat Diagn 33 :555–562, 2013.
Condition Method Total Samples Results Reference
Autosomal Dominant Conditions
Achondroplasia Restriction digest 1 1 affected Saito et al. (2000)
Restriction digest 1 1 affected Li et al. (2004)
MALDI-TOF MS 2 2 affected Li et al. (2007)
PCR-RED 6 4 affected
2 unaffected
Chitty et al. (2011)
QF-PCR 2 1 affected
1 unaffected
Lim et al. (2011)
NGS PCR-RED: 14/14 affected
MPS: 8/9 affected
Chitty et al. (2015)
Apert syndrome Allele-specific real-time PCR 1 1 affected Au et al. (2011)
PCR-RED 2 1 affected
1 unaffected
Raymond et al. (2010)
Crouzon syndrome PCR-RED 1 1 unaffected; recurrence excluded Raymond et al. (2010)
Huntington disease QF-PCR 1 1 unaffected Gonzalez-Gonzalez et al. (2003)
QF-PCR 4 2/3 affected
1/1 unaffected
Bustamante-Aragones et al. (2008)
QF-PCR 1 1 unaffected Gonzalez-Gonzalez et al. (2008)
Myotonic dystrophy Nested PCR 1 1 affected Amicucci et al. (2000)
Thanatophoric dysplasia types 1 and 2 PCR-RED 4 3 affected
1 recurrence excluded at 12 wk
Chitty et al. (2013)
MPS PCR-RED: 9/11 affected
MPS: 9/9 affected
Chitty et al. (2015)
Torsion dystonia RT-PCR 2 2 affected Meaney and Norbury (2009)
Autosomal recessive: parents carrying different mutations
Congenital adrenal hyperplasia Fluorescent SNPs 1 1 unaffected Chiu et al. (2002)
Craniosynostosis COLD-PCR 1 1 affected Galbiati et al. (2014)
Cystic fibrosis PCR-RFLP 1 1 affected Gonzalez-Gonzalez et al. (2002)
SnaPshot 3 2 affected
1 unaffected
Bustamante-Aragones et al. (2008)
NGS panel with 10 common mutations 4 4 correctly classified: 2 inherited paternal mutations Hill et al. (2015)
Haemoglobin E Nested PCR and restriction digestion 5 3 affected
2 unaffected
Fucharoen et al. (2003)
Seminested and nested real-time PCR for three different mutations 39 beta(E)
12 beta(17)
9 beta(41/42)
All correctly classified
26 affected/carrier beta(E)
6 affected/carrier beta(17)
5 affected/carrier beta(41/42)
Tungwiwat et al. (2007)
HB Lepore Allele-specific PCR 1 1 unaffected Lazaros et al. (2006)
Leber congenital amaurosis Denaturing HPLC 1 1 affected Bustamante-Aragones et al. (2008)
Propionic acidaemia SnaPshot; melt curve analysis. 1 1 affected (positive using both methods) Bustamante-Aragones et al. (2008)
α-Thalassaemia Real-time nested PCR 13 8 carriers, 1 HbH, 2 HbBarts, 2 no mutation Tungwiwat et al. (2006)
QF-PCR 30 10/30 paternal allele correctly excluded Ho et al. (2010)
β-Thalassaemia COLD-PCR 35 10/21 affected Cd39
11/21 unaffected
12/14 affected IVSI-110
2/14 unaffected
Galbiati et al. (2011)
AS-PCR for SNPs 2 1 affected
1 unaffected
Papasavva et al. (2006)
APEX 7 3 inherited paternal mutations
3 unaffected
1 incorrect
Papasavva et al. (2008)
Genome-wide MPS and SPRT analysis 1 1 carrier Lo et al. (2010)
Fetal DNA enrichment and real-time PCR 10 10 paternal mutations correctly identified Ramezanzadeh et al. (2016)
Autosomal recessive: parents carrying the same mutations
Congenital adrenal hyperplasia Targeted MPS and haplotype analysis 14 14 affected New et al. (2014)
Targeted MPS and haplotype analysis – hidden Markov model 1 1 unaffected Ma et al. (2014)
Cystic fibrosis Single-cell short tandem repeat genotyping 32 32 correctly classified (7 affected) Mouawia et al. (2012)
Maple syrup urine disease Targeted MPS and haplotype analysis 1 1 correctly classified You et al. (2014)
Methylmalonic academia Relative mutation dosage with digital droplet PCR and parental SNP analysis 1 1 correctly classified Gu et al. ( 2014 )
Sickle cell disorder Relative mutation dosage using digital RT-PCR 65 52 correctly classified
7 incorrectly classified
5 unclassified
Barrett et al. (2012)
PAP 1 1 negative for linked paternal SNP allele Phylipsen et al. (2012)
Spinal muscular atrophy Single-cell short tandem repeat genotyping 31 31 correctly classified (7 affected) Mouawia et al. (2012)
Targeted MPS and haplotype analysis 5 5 correctly classified Chen et al. (2016)
α-Thalassaemia Real-time quantitative PCR 158 61/62 affected
Sensitivity: 98.4%
False-positive rate: 20.8%
Sirichotiyakul et al. (2012)
Allele-specific real-time PCR 67 33/67 correctly classified unaffected Yan et al. (2011)
β-Thalassaemia Relative mutation dosage using digital PCR 10 5 correctly classified
1 incorrect
4 unclassified
Lun et al. (2008)
Targeted MPS and relative haplotype dosage 2 2 correctly classified as carriers Lam et al. (2012)
(PAP) 13 Paternal SNP allele detected in maternal plasma in 13 cases Phylipsen et al. (2012)
Targeted MPS and haplotype analysis 10 NIPD possible in 8/10 cases Papasavva et al. (2013)
High-resolution melting analysis 50 25/27 correctly classified as affected
19/23 correctly classified as unaffected
Zafari et al. (2016)
X-linked
Haemophilia A and B Relative mutation dosage using digital PCR 7 3/3 affected haemophilia A
4/4 affected haemophilia B
Tsui et al. (2011)
Retinitis pigmentosa (X-linked) Sequencing 1 1 mutation on paternal allele detected Bustamante-Aragones et al. (2006)
DMD and Becker muscular dystrophy Targeted MPS and haplotype analysis 9 2/2 affected DMD
7/7 unaffected
Parks et al. (2016)
APEX, Arrayed primer extension; AS-PCR, allele specific-polymerase chain reaction; COLD-PCR, cold-polymerase chain reaction;
DMD, Duchenne muscular dystrophy; HbBarts, haemoglobin Barts; HbH, haemoglobin H; HPLC, high-performance liquid chromatography;
MALDI-TOF MS, matrix-assisted laser desorption ionisation time of flight mass spectrometry; MPS, massively parallel sequencing;
NGS, next-generation sequencing; PAP, pyrophosphorolysis-activated polymerisation; PCR, polymerase chain reaction; PCR-RED , polymerase chain reaction-restriction enzyme digest;
PCR-RFLP, polymerase chain reaction-restriction fragment length polymorphism; QF-PCR, quantitative fluorescence-polymerase chain reaction; SnaPshot, single base primer extension; SNP, single nucleotide polymorphism; SPRT, sequential probability ratio test.

Confirming the presence of cffDNA is critical to delivering a reliable NIPD result. In situations in which testing requires determination of the presence or absence of an allele not present in the mother, detection allows definitive diagnosis, but if absent, although it may reflect a true negative. it may also result from absence or very low levels of cffDNA with consequent failure to amplify the target sequence. Inclusion of a fetal specific marker in an NIPD assay is required to confirm the presence of cffDNA and allows a negative result to be definitive. In male-bearing pregnancies, Y-chromosome sequences can be used, but there is no straightforward approach for female-bearing pregnancies. Paternally inherited SNPs, short tandem repeats or small insertion or deletions (indel markers) that are either absent or different in the mother could be used but add to the cost of the test as maternal and paternal DNA require analysis, and even a large panel of SNPs may not always be informative. Alternative approaches to confirm the presence of cffDNA take advantage of epigenetic differences between the fetus and the mother which arise as a result of the differential expression of maternally and paternally inherited alleles. The Ras-association domain family member 1, transcript variant A (RASSF1A) which is hypomethylated in the mother and hypermethylated in the fetus, is the allele most frequently used, but the assay is complex and not ideally suited for use in a busy service laboratory. Developing robust assays to measure fetal fraction may be particularly important in women with high body mass indexes because cffDNA levels tend to be lower in obese women, probably because of increase shedding of maternal cfDNA from adipose tissue. In addition, strategies that optimise sample collection and processing (e.g., separation of the plasma within a few hours of blood draw or the use of cell stabilising tubes) are important to optimise cffDNA levels and minimise inconclusive or failed cases.

Although the commercial sector has driven the development of NIPT for aneuploidy, which is now available worldwide, development of NIPD for monogenic disorders has been led by the academic sector, presumably because of the rarity of most disorders together with the cost and time required to develop individual tests do not make NIPD an attractive commercial prospect. In this chapter, we discuss the development of a clinical service focused on NIPD for monogenic disorders, which includes NIPD for fetal sex determination to inform the need for definitive diagnosis in pregnancies at risk for sex-linked disorders. Implementation of any new test into clinical practice requires robust validation, both in the laboratory but also in terms of clinical validity and economic viability, and must meet service users’ needs. Development of an NIPD clinical service in the United Kingdom has been based on the UK Genetic Testing Network (UKGTN) standards, as required by the UK National Health Service (NHS), to commission and thus fully fund any molecular genetic test for a monogenic disorder ( Table 22.3 ). Here we discuss current applications of NIPD (in the United Kingdom and elsewhere) and provide an overview of clinical utility, economic and social issues and stakeholder viewpoints, all of which are required for UKGTN approval.

TABLE 22.3
UK Genetic Testing Network Considerations Required for Implementation of New Molecular Genetic Tests Into UK National Health Service Clinical Practice
Adapted from NHS. UK Genetic Testing Network. http://www.ukgtn.nhs.uk .
  • Seriousness of the condition

  • Prevalence of the condition

  • The context in which the test is to be used: population groups

  • Complexity of the test

  • Clinical sensitivity, specificity and predictive value

  • Utility of the test: benefit to patient management

  • Test purpose: diagnosis, treatment, prognosis, management and so on

  • Availability of alternative diagnostic procedures

  • Ethic al legal and social considerations

  • Economics of the test

Fetal Sex Determination

Fetal sex determination was one of the first applications of cfDNA to be used in clinical practice with a variety of methods being applied across centres in Europe from the late 1990s. This test, now well-established in several countries, can be performed reliably from 7 weeks’ gestation to guide the management of pregnancies at risk for X-linked conditions, congenital adrenal hyperplasia (CAH) and in cases in which there is genital ambiguity. In pregnancies at risk for X-linked conditions, such as Duchenne muscular dystrophy (DMD) or adrenoleukodystrophy, identification of a male fetus using NIPD indicates the need for an invasive test to determine inheritance of the maternal mutant allele and subsequent definitive diagnosis, but this is not required if the fetus is found to be female. In pregnancies at risk for CAH, early maternal treatment with dexamethasone, although controversial, can reduce the degree of virilisation of external genitalia in affected female fetuses. Because this is a recessive condition, males can have CAH, but they are not at risk for genital virilisation. Early determination of fetal sex can be used to guide maternal dexamethasone therapy and direct the need for invasive testing for definitive diagnosis, which, as will be discussed later, is now possible in many families using NIPD for CAH. NIPD for fetal sex determination is also helpful for the clarification of fetal ultrasound findings such as genital ambiguity or to provide additional information for diagnosing genetic conditions such as campomelic dysplasia or Smith-Lemni-Opitz syndrome in which genital ambiguity or sex reversal is a feature of the condition.

Noninvasive prenatal diagnosis for fetal sex determination is relatively straightforward as it is performed by identifying the presence or absence of Y-chromosome sequences in maternal plasma. Detection of the Y-chromosome sequence indicates that the fetus is male. If the Y-chromosome sequence is not detected, it is assumed that the fetus is female. A systematic review and meta-analysis that included 57 studies with 3524 male- and 3017 female-bearing pregnancies tested over a wide range of gestations and with a variety of laboratory methodologies, largely performed on a research basis, indicated that NIPD for fetal sex determination is reliable after 7 weeks in pregnancy. A large national audit of NIPD for sex determination performed in UK public-sector laboratories using the most common technique, real-time quantitative polymerase chain reaction (RT-qPCR) of Y-chromosome targets (the single copy SRY gene or the multicopy DYS14 sequence located within the TSPY gene) showed a sensitivity of 99.5% (95% confidence interval, 98.2–99.9%) . A failure rate of individual tests of approximately 4% to 5% has been seen in many studies, a rate which some suggest may be reduced by using digital PCR or by using assays that target both the SRY and DYS14 genes. However, these latter studies only report small numbers, and further evaluation of these methods is required. Test failures and false-negative results caused by technical issues are likely to occur with any method and, as discussed earlier, the concurrent use of a universal cffDNA marker to confirm the presence of cffDNA will minimise false-negative results by identifying pregnancies in which very low fetal fraction results in failure to amplify the Y-chromosome sequences rather than absence of Y-markers because the fetus is female.

Because NIPD for fetal sex determination has been in clinical practice for several years, it has been possible to demonstrate clinical utility. In the UK audit, the rates of invasive testing in women at risk for very severe X-linked conditions (excluding haemophilia) were only 43%, and 38% in those at risk for CAH. However, the same audit failed to demonstrate clinical utility in pregnancies at risk for haemophilia, in which invasive testing was infrequent (16.9% compared with 43%) for other severe X-linked disorders. This is largely because in the majority of these pregnancies, knowledge of fetal sex is required to direct management of labour rather than inform parental decisions regarding invasive testing for definitive diagnosis and possible termination of pregnancy. Sex determination in these pregnancies can readily be performed using routine midtrimester ultrasonography; thus clinical utility could not be demonstrated as an alternative, more cost-effective approach is available. Clinical utility has been further demonstrated in a French multicentre study of fetal sex determination in 258 pregnancies at risk for CAH (134 male and 124 female fetuses), which showed that prenatal maternal steroid treatment had been avoided in 68% of male-bearing pregnancies.

Health economic aspects must be considered when implementing new tests, particularly in publicly funded health care systems. A detailed health economic analysis in the United Kingdom demonstrated that NIPD for sex determination was cost effective for severe X-linked conditions such as DMD because the costs of NIPD are offset by the smaller proportion of women who require invasive testing, reducing costs by an average of £87 (-£303 to £131) per pregnancy. Cost savings were slightly greater, a reduction of £193 (-£301 to -£84), in pregnancies at risk for CAH because of the additional savings related to maternal dexamethasone treatment. It must be noted that these costs relate to the United Kingdom, where the cost of labour is high and laboratory consumables may be lower than in other countries. Thus the labour costs related to invasive testing are relatively high. In health economies with a different balance of labour: consumable costs, benefits and costs may be different. UK service users welcome the availability of the NIPD and report practical benefits from safe early testing as well as psychological benefits, such as a feeling of having control over the pregnancy and peace of mind. Health professionals also welcome the advent of safer and earlier fetal sex determination with NIPD.

The UKGTN gave approval for NIPD for fetal sex determination in the UK NHS, but their recommendation, and thus subsequent commissioning and public-sector funding, was limited to NIPD for serious X-linked disorders (excluding haemophilia) and CAH. Since gaining UKGTN approval, there has been a significant increase in the use of NIPD for fetal sex determination, with it now being one of the most frequently performed prenatal molecular tests in pregnancies at risk for monogenic disorders. However, there remains significant discordance in practice in pregnancies at risk for haemophilia with some services routinely offering NIPD to all carriers of haemophilia or to all carriers of severe haemophilia but others primarily offering NIPD as a first step to invasive testing. Development of definitive NIPD for haemophilia may resolve this inequality of access as this would enable safe optimisation of pregnancy management for all pregnancies.

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