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Spectrum of PAH gene variants among a population of Han Chinese patients with phenylketonuria from northern China

BMC Medical GeneticsBMC series – open, inclusive and trusted201718:108

https://doi.org/10.1186/s12881-017-0467-7

Received: 7 April 2017

Accepted: 27 September 2017

Published: 5 October 2017

Abstract

Background

Phenylketonuria (PKU), which primarily results from a deficiency of phenylalanine hydroxylase (PAH), is one of the most common inherited inborn errors of metabolism that impairs postnatal cognitive development. The incidence of various PAH variations differs by race and ethnicity. The aim of the present study was to characterize the PAH gene variants of a Han population from Northern China.

Methods

In total, 655 PKU patients and their families were recruited for this study; each proband was diagnosed both clinically and biochemically with phenylketonuria. Subjects were sequentially screened for single-base variants and exon deletions or duplications within PAH via direct Sanger sequencing and multiplex ligation-dependent probe amplification (MLPA).

Results

A spectrum of 174 distinct PAH variants was identified: 152 previously documented variants and 22 novel variants. While single-base variants were distributed throughout the 13 exons, they were particularly concentrated in exons 7 (33.3%), 11 (14.2%), 6 (13.2%), 12 (11.0%), 3 (10.4%), and 5 (4.4%). The predominant variant was p.Arg243Gln (17.7%), followed by Ex6-96A > G (8.3%), p.Val399 = (6.4%), p.Arg53His (4.7%), p.Tyr356* (4.7%), p.Arg241Cys (4.6%), p.Arg413Pro (4.6%), p.Arg111* (4.4%), and c.442-1G > A (3.4%). Notably, two patients were also identified as carrying de novo variants.

Conclusion

The composition of PAH gene variants in this Han population from Northern China was distinct from those of other ethnic groups. As such, the construction of a PAH gene variant database for Northern China is necessary to lay a foundation for genetic-based diagnoses, prenatal diagnoses, and population screening.

Keywords

PhenylketonuriaPhenylalanine hydroxylase gene PAH gene variantMLPA

Background

Phenylketonuria (PKU, #OMIM 261600), which exhibits autosomal recessive inheritance, is the most common inborn error of amino acid metabolism. PKU is caused by variations within the gene encoding phenylalanine hydroxylase (PAH), an enzyme that converts phenylalanine to other compounds, that result in the accumulation of phenylalanine (Phe) to neurotoxic levels [1]. Untreated PKU is associated with progressive intellectual impairment, accompanied by a constellation of additional symptoms, including eczematous rash, autism, seizures, and motor deficits. Hyperphenylalaninemia (HPA) comprises a group of genetically heterogeneous disorders, including deficiencies in PAH, tetrahydrobiopterin (BH4), and DNAJC12 [2], which are associated with six genes (PAH, PTS, GCH1, QDPR, PCBD1, and DNAJC12). Deficiency of the GFRP was so far not reported, and it is unclear if it would present with HPA as well. Notably, while PKU always causes HPA, not all cases of HPA are due to PKU. As timely screening and accurate diagnosis of HPA are important for treatment, PAH gene analysis is critical for the diagnosis, differential diagnosis, and correct treatment of this disorder.

The human PAH gene, which is located on chromosome 12q23.2, consists of 13 exons spanning 90 kb that encode a monomer protein of 452 amino acids. According to the open-access locus-specific database (LSD) (http://www.biopku.org/home/pah.asp), there are more than 900 known variants of this gene. As such, LSD is an invaluable resource of information for more efficient classification and management of patients [3].

Here we performed a comprehensive analysis of PAH gene variants compiled from 655 PKU patients and their families from Northern China. The primary aim of this study was to provide a basis for rapid and efficient genetic-based diagnosis, genetic counseling for the families of patients, and prenatal diagnosis of PKU in northern China.

Methods

Participants

A total of 655 unrelated Han families, in which at least one member was diagnosed with PKU, were recruited at the genetic counseling clinic of the First Affiliated Hospital of Zhengzhou University, the neonatal screening center of the Third Affiliated Hospital of Zhengzhou University, or Zhengzhou Maternity and Child Care Hospital between January 2008 and January 2016. The ancestral home of all subjects was in the Northern provinces of China. Patients with BH4 cofactor deficiency were excluded. Samples were collected via a newborn screening program. Each of the patients studied was diagnosed with HPA. Twelve patients were deceased when the parents came to the clinic, and the medical data for these individuals were integrated. The pretreatment plasma Phe level for each patient was >120 μmol/L (genotypes observed in patients with phenylketonuria and clinical phenotypes are provided in Additional file 1), as quantified in dried blood spots via the fluorescence test and tandem mass spectrometry. This study was approved by the Medical Ethics Committee of the First Affiliated Hospital of Zhengzhou University, and was performed according to the principles of the Declaration of Helsinki. All subjects or guardians provided signed informed consent.

Genotype analysis

Peripheral blood samples were collected from the patients and parents in each of the 643 core families. For the 12 deceased-proband families, samples were collected only from the parents. Genomic DNA was extracted from each sample, and PCR primers were designed to amplify each of the 13 exons of the PAH gene, as well as their flanking introns, using previously published sequencing data [4]. PCR products were sequenced bi-directionally using an ABI 3130-xl gene analyzer (Life Technologies, Carlsbad, CA, USA). To identify nucleotide variations, sequences were aligned and inspected using a reference sequence from Ensembl (NM_000277). To determine sequence variability, variable sites in patient genes were aligned with the corresponding sites from the respective parents. We excluded non-biological relationships in de novo-variant pedigrees using the Promega PowerPlex 21 HS system (Promega Corporation, Madison, WI, USA).

Multiplex ligation-dependent probe amplification (MLPA) analysis

DNA samples harboring one or no variant(s), as determined by sequencing, were confirmed and assayed separately for PAH copy-number variants by MLPA analysis using a PAH MLPA kit (SALSA P055; MRC-Holland, Amsterdam, The Netherlands), according to the manufacturer’s protocol. Amplification products were separated using an ABI 3130-xl Genetic Analyzer. Raw data were analyzed using GeneMapper® Software Version 4.2 to estimate the size of the PCR products and to obtain peak areas. Height ratios of fluorescent peaks that were lower than the normal height ratio (0.7) were indicative of the presence of exon deletions.

Nomenclature and variation validation

Previously characterized pathogenic variants were identified by comparison with those deposited in disease databases, including the Human Gene Mutation Database (HGMD) and BIOPKUdb. Single nucleotide polymorphisms (SNPs) were further excluded by querying the 1000 Genomes Data (http://www.1000genomes.org/), dbSNP, and HapMap databases. Novel variants were named according to the international gene mutation nomenclature system (http://www.HGVS.org/varnomen). The pathogenic effects associated with variations of interest were calculated using prediction tool algorithms (e.g., PROVEAN, PolyPhen-2, and MutationTaster).

Results

PAH gene variant spectrum

In this study, potential disease-causing mutations were identified in 1266 of the 1310 independent alleles tested (detection rate = 96.6%). A total of 613 (93.6%) patients were completely genotyped. Among the fully genotyped patients, 534 (81.5%) carried compound heterozygous variants, 63 (9.6%) carried homozygous variants, 40 (6.1%) harbored a single heterozygous variant, and 16 (2.4%) harbored three separate variants. Notably, however, we failed to detect variant alleles in two (0.3%) patients.

A spectrum of 174 distinct PAH gene variants was detected in the 655 PKU families recruited in this study (high frequency and novel variants are summarized in Table 1, while the complete list of variants is provided in Additional file 2). These variants fell into seven categories: missense variants (107, 61.4%), splicing variants (34, 19.4%), nonsense variants (16, 9.2%), small deletions (10, 5.7%), large deletions (6, 3.4%), insertion variants (1, 0.6%), and indel variants (1, 0.6%).
Table 1

High frequency variants of the PAH gene

Number

Trivial name (Protein effect)

Systematic name (DNA level)

Location

Variant type

Allele frequency (%)

1

p.Arg53His

c.158G > A

Exon 2

Missense

4.7

2

p.Arg111*

c.331C > T

Exon 3

Nonsense

4.4

3

c.442-1G > A

Intron 4

Splicing

3.4

4

p.Ex6-96A > G

c.611A > G

Exon 6

Splicing

8.3

5

p.Arg241Cys

c.721C > T

Exon 7

Missense

4.6

6

p.Arg243Gln

c.728G > A

Exon 7

Missense

17.7

7

p.Tyr356*

c.1068C > A

Exon 11

Nonsense

4.7

8

p.Val399=

c.1197A > T

Exon 11

Splicing

6.4

9

p.Arg413Pro

c.1238G > C

Exon 12

Missense

4.6

p.Arg243Gln (17.7%) was the most prevalent variant, followed by Ex6­96A > G (8.3%), p.Val399 = (6.4%), p.Arg53His (4.7%), p.Tyr356* (4.7%), p.Arg241Cys (4.6%), p.Arg413Pro (4.6%), p.Arg111* (4.4%), and c.442-1G > A (3.4%). These nine variants accounted for 58.7% of all variant alleles detected.

The 174 distinct variants were distributed throughout the 13 exons and flanking intron regions of the PAH gene; however, the largest number of variants was observed in exon 7 and its flanking intron regions (33.3%, 423/1269), followed by exon 11 (14.4%, 183/1269), exon 6 (13.1%, 166/1269), exon 12 (10.9%, 138/1269), exon 3 (10.4%, 132/1269), and exon 5 (4.4%, 56/1269) (Table 2).
Table 2

Exon Distribution and allelic frequencies of PAH gene

Location (exon + intron)

No. of mutation kinds

No. of mutation allele

Frequency of mutation allele(%)

 1

2

3

0.24

 2

6

66

5.2

 3

13

134

10.48

 4

7

54

4.33

 5

18

56

4.41

 6

24

166

13.24

 7

34

423

33.25

 8

6

8

0.63

 9

5

10

0.79

 10

16

26

2.05

 11

21

183

14.18

 12

17

138

11.03

 13

2

2

0.16

MLPA analysis

Of the 53 PKU patients subjected to MLPA genotyping analysis, 13 contained exon deletions. Specifically, we detected a deletion spanning the 5′-UTR and exon 1 in eight patients, a deletion of exon 3 in one patient, a deletion of exon 5 in one patient, a deletion of exons 4 and 5 in two patients, and a deletion of exons 4–7 in one patient.

De novo variants pedigrees

By screening the corresponding variant gene sites of the parents, we found that two patients carried de novo variants. Paternity testing was subsequently performed to confirm the biological nature of the relationship between the patient and parent. Meanwhile, the identification of three distinct variants in 16 families confirmed that the variants had originated from the parents, with one of the parents carrying two variants on the same allele.

Novel sequence variants

Twenty-two novel variants that have not been registered in the BIOPKU database were identified in this research: IVS4-14C > T, IVS8 + 16 T > A, IVS10-13delT, IVS11-3 T > G, p.Tyr154*, p.Tyr268*, p.Arg155Valfs*40, p.Ser231Valfs*52, p.Leu194Glufs*6, p.Asp75His, p.Ile94Val, p.Gly188Val, p.Cys203Ser, p.Leu227Val, p.Glu228Asp, p.Ser250Phe, p.Ser310Cys, p.Ser339Phe, p.Lys341Asn, p.Pro362Ser, p.Pro366Ala, and p.Leu444Phe. The predicted biological effects of these novel variants are listed in Table 3: 19 of the variations detected, particularly the missense, nonsense, and frame-shift variants, had the potential to be damaging, deleterious, and disease causing. Conversely, the three splicing variants IVS4-14C > T, IVS8 + 16 T > A, and IVS10-13delT were found to comprise polymorphisms by MutationTaster, and could not be predicted using the other two tools.
Table 3

Pathological analysis of the 22 novel variants of the PAH gene detected in this study

NO.

Mutation type

Trivial name (Protein effect)

Systematic name (DNA level)

PolyPhen-2

PROVEAN

MutationTaster

 1

Splice

IVS4-14C > T

c.442-14 C > T

  

Polymorphism

 2

IVS8 + 16 T > A

c.912 + 16 T > A

  

Polymorphism

 3

IVS10-13delT

c.1066-13delT

  

Polymorphism

 4

IVS11-3 T > G

c.1200-3 T > G

  

Disease-causing

 5

 

p.Tyr154*

c.462C > A

  

Disease-causing

 6

Nonsense

p.Tyr268*

c.804C > A

  

Disease-causing

 7

 

p.Arg155Valfs*40

c.463delC

  

Disease-causing

 8

Frameshift

p.Ser231Valfs*52

c.690-691insG

  

Disease-causing

 9

 

p.Leu194Glufs*6

c.580C > GA

  

Disease-causing

 10

 

p.Asp75His

c.223 G > C

Damaging

Neutral

Disease-causing

 11

p.Ile94Val

c.280 A > G

Benign

Neutral

Disease-causing

 12

p.Gly188Val

c.563G > T

Damaging

Deleterious

Disease-causing

 13

p.Cys203Ser

c.607 T > A

Damaging

Deleterious

Disease-causing

 14

p.Leu227Val

c.679C > G

Damaging

Deleterious

Disease-causing

 15

Missense

p.Glu228Asp

c.684A > C

Benign

Neutral

Disease-causing

 16

 

p.Ser250Phe

c.749C > T

Damaging

Deleterious

Disease-causing

 17

p.Ser310Cys

c.929C > G

Damaging

Deleterious

Disease-causing

 18

p.Ser339Phe

c.992 T > C

Damaging

Deleterious

Disease-causing

 19

p.Lys341Asn

c.1023G > C

Damaging

Deleterious

Disease-causing

 20

p.Pro362Ser

c.1084 C > T

Damaging

Deleterious

Disease-causing

 21

p.Pro366Ala

c.1096 C > G

Benign

Deleterious

Disease-causing

 22

p.Leu444Phe

c.1330 C > T

Damaging

Deleterious

Disease-causing

Discussion

The distribution of PKU among the Chinese population shows geographical and ethnic differences. While the overall incidence of PKU in China is 1/10,000–1/16,000, corresponding to a carrier frequency of approximately 1 in 50 [5], the prevalence varies considerably throughout the country, with much higher rates in Northern China (1/3425–1/7849) than in Southern China [69]. Investigation of the characteristics of PAH gene variants in different populations is very important for early, rapid, and accurate genetic-based diagnosis and subsequent patient treatment. Moreover, characterization of the distribution of PAH gene variants between populations provides important information regarding the ethnic migration and evolution of humans.

In our study, p.Arg243Gln (17.7%), followed by Ex6-96A > G, p.Val399=, p.Arg53His, p.Tyr356*, p.Arg241Cys, p.Arg413Pro, p.Arg111*, and c.442-1G > A, were the most prevalent variants, respectively. Indeed, these nine variants accounted for two-thirds of all those identified. These results were consistent with those of a previous study, although the rank order of these mutations was different [1013]. Notably, previous molecular studies examining the spectra of variations in PKU patients in Asian populations indicated that, in general, mutations were not randomly distributed, and that certain variations show regional associations. For comparison, variants p.Arg413Pro, c.442-1G > A, p.Arg241Cys, p.Arg243Gln, p.Thr278Ile, Ex6-96A > G, p.Tyr356*, and p.Arg111* accounted for approximately 74.4% of the PKU in a population of Japanese patients [14], while p.Arg243Gln, c.442-1G > A, and Ex6-96A > G were the most common variants in Korean PKU patients [15]. In this study, variants were distributed throughout the entire PAH gene; however, the most commonly affected regions were exons 6, 7, and 11. Indeed, PAH gene variants appear to be concentrated in exons 7, 6, 11, 5, 12, 10, and 3, respectively, among Asian populations [1115]. The similarities in the variant spectra of Chinese, Korean, and Japanese populations suggest that human migration, fusion, and evolution in these three countries were similar. In contrast, significant differences are found with regard to gene variants between Western and Eastern countries [16]. Furthermore, consistent with trends observed in Asian countries, PAH gene variants among European countries were found to exhibit regionality.

PAH gene variants in the Chinese population were predominant in specific exons, and hot spot variants were observed. Based on genetic research of Chinese people [1013, 1719], we propose a strategy for PAH gene screening in Northern Chinese populations. First, exons 3, 5, 6, 7, 11, and 12 should be preferentially Sanger sequenced, followed by sequencing of the other exons. After Sanger sequencing, patients lacking at least one identified variant should be examined via MLPA to screen for exon deletions/duplications within PAH. Lastly, if patients presenting with high phenylalanine levels cannot be diagnosed by PAH gene analysis, next-generation sequencing of genes related to BH4 deficiency, including PTS, GCH1, PCBD1, QDPR, and GFRP, should be applied. High-throughput automated sequencing techniques offer promise for revolutionizing the molecular diagnosis of PKU and BH4 disorders [20, 21]. Our understanding of the molecular basis of PKU has increased dramatically in recent years, driven largely by the availability of ever-more powerful techniques for analyzing and visualizing the effects of mutations on proteins [16].

A notable finding of this study was that 16 patients harbored three PAH gene variants, each of which were previously identified as pathogenic. Further analysis revealed that two variants were derived from one of the parents. However, no relevant PKU symptoms were observed in the parents carrying the two variants, suggesting that these two variants are located on the same allele. In Turkey, Dobrowolski et al. reported 588 cases of PKU or high levels of phenylalanine in nine patients carrying three or more pathogenic variants [22]. In addition, Okano identified nine individuals harboring the p.Arg53His variant among 203 Japanese PKU patients [23]. In our study, the p.Arg53His variant was identified as acting in cis with c.842 + 2 T > A in nine patients; however, because of the small number of cases, unbalanced variants between these patients cannot be confirmed. The results of in vitro expression experiments demonstrated that a p.Arg53His-type PAH enzyme retains approximately 79% of wild-type activity [24], with a smaller effect on activity being observed when co-existing with other variants. In a previous study, Gu and Wang suggested that p.Arg53His is associated with a milder form of HPA; however, it cannot be discounted that this variant comprises a SNP among healthy populations [25]. Therefore, in future work, uncovering the effects of PAH gene variants on PAH protein function is essential for clarifying the nature of this variant.

Interestingly, there were two instances in which PKU pedigrees identified potential de novo PAH gene variants (i.e., patient exhibited compound heterozygous variants despite one of the parents not carrying one of the variations). After excluding a non-biological relationship between parent/child, we considered these to be true de novo variants. As the sequence of PAH is relatively conserved in the human genome, the incidence rate of de novo variants is very low. Indeed, such de novo variants have yet to be reported. Thus, the identification of de novo variants may permit accurate and rational genetic counseling for these families.

Conclusions

We presented a comprehensive and systematic analysis of PAH variants in 655 Chinese patients with PKU. We obtained a PAH gene variant spectrum for the Northern Chinese population and devised a strategy for gene diagnosis using PKU pedigrees (Fig. 1). Our findings will provide for rapid and efficient genetic-based diagnosis, genetic counseling, and prenatal diagnosis of PKU in China, particularly in the northern regions. Further explorations of the relationship between genotype and phenotype, as well as the consequences of gene variants are crucial. Locus-specific and genotype databases are today an invaluable resource of information for more efficient classification and management of patients.
Fig. 1

Flow chart depicting the strategy used for gene diagnosis in hyperphenylalaninemia patients

Abbreviations

BH4: 

Tetrahydrobiopterin

HPA: 

Hyperphenylalaninemia

MLPA: 

Multiplex ligation-dependent probe amplification

PAH: 

Phenylalanine hydroxylase

PKU: 

Phenylketonuria

Declarations

Acknowledgments

We are grateful to the enrolled patients and their families, and to all participants in the study for their kind cooperation.

Funding

This work was supported by grants from the National Natural Science Foundation of China (81,672,110, 81,501,851) and the Henan Province Medical Science and Technique Foundation (201403021).

Availability of data and materials

All data, including Sanger sequencing files, will be provided to interested scientists by the corresponding author upon request.

Authors’ contributions

KX designed the methodology and supervised the study. LN participated in its design and coordination, and drafted the manuscript. HQ conducted genetic data acquisition and interpretation and assisted in drafting the manuscript. LQ participated in analyzing data and revising the manuscript. ZD and CL conceived of the study and collected data. LX performed urinary pterin analysis and patient follow-up. BY and FY executed experiments and collated the comments of the authors and other named contributors, and assembled the tables and figures. All authors have read and approved the manuscript.

Ethics approval and consent to participate

This study was approved by the Medical Ethics Committee of the First Affiliated Hospital of Zhengzhou University, and was performed according to the principles of the Declaration of Helsinki. All subjects or guardians provided signed informed consent.

Consent for publication

All subjects or guardians have signed informed consent to participate in this study and allowed us publish the result of study.

Competing interests

The authors declare that they have no competing interests.

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Authors’ Affiliations

(1)
Genetics and Prenatal Diagnosis Center, The First Affiliated Hospital of Zhengzhou University, Henan Engineering Research Center for Gene Editing of Human Genetic Disease
(2)
State Key Laboratory of Cellular Stress Biology, State Key Laboratory of Molecular Vaccinology and Molecular Diagnostics, Engineering Research Centre of Molecular Diagnostics, Ministry of Education, School of Life Sciences, Xiamen University
(3)
Neonatal Screening Center, The Third Affiliated Hospital of Zhengzhou University
(4)
Neonatal Screening Center, Zhengzhou Maternity and Child Care Hospital

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Copyright

© The Author(s). 2017

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