Skip to main content
Wiley Open Access Collection logoLink to Wiley Open Access Collection
. 2025 Oct 5;48(6):e70083. doi: 10.1002/jimd.70083

Revisiting the Genetics of Hypophosphatasia

Priya S Kishnani 1,, Catherine Rehder 1, Keiichi Ozono 2, Jordi Pérez‐López 3, Guillermo del Angel 4, William R Mowrey 5, Meena Balasubramanian 6,7, Wolfgang Högler 8,9, Eric T Rush 10,11
PMCID: PMC12497681  PMID: 41047464

ABSTRACT

Hypophosphatasia (HPP) is a rare, inherited monogenic disorder that is typically caused by variants in the tissue‐nonspecific alkaline phosphatase (ALPL) gene. Genetic testing for ALPL variant(s) to confirm the diagnosis in patients with suspected HPP is a standard practice based on availability. This review attempts to improve the current understanding of the genetics of HPP as it addresses five key related topics: (1) HPP patterns of inheritance and the relationship between HPP genotype and phenotype, (2) how the disease can manifest (including specific genotypes) in heterozygotes, (3) potential reasons why some patients have persistently low alkaline phosphatase activity yet lack an ALPL variant, (4) the implications of and resources for variants of uncertain significance (VUS), and (5) recent information on genetic testing in fetuses and newborns. We summarize pertinent information applicable in daily clinical practice, with the objective of preventing missed, delayed, or incorrect HPP diagnoses and improving patient care.

Keywords: alkaline phosphatase, bone mineralization, dominant‐negative effect, genetic counseling, genetic screening, genetic testing, genome sequencing, genotype, phenotype, vitamin B6


Overview of the genetic concepts in hypophosphatasia reviewed in this manuscript.

graphic file with name JIMD-48-0-g001.jpg

1. Introduction

Hypophosphatasia (HPP) is a rare, inherited disease caused by pathogenic variants in tissue‐nonspecific alkaline phosphatase (ALP; gene name: ALPL [NM_000478.6]; Figure 1) [3, 4, 5]. The hallmark of HPP is persistently low age‐ and sex‐adjusted serum ALP activity [6, 7]. Deficient ALP activity can lead to extracellular accumulation of substrates including inorganic pyrophosphate (PPi, a potent inhibitor of bone mineralization), pyridoxal 5′‐phosphate (PLP, the active form of vitamin B6), and phosphoethanolamine [8, 9, 10]. Certain skeletal and neurologic manifestations of HPP can be partly tied to accumulation of PPi and PLP, respectively [8, 9, 11].

FIGURE 1.

FIGURE 1

(A) ALPL gene map showing exons, introns, and UTRs [1]; (B) ALP dimer structure with sugar moieties shown in pink [2]; (C, D) higher order octamer structure of ALP, shown from two different angles. Protomers are labeled A–H in panels C and D. Panels B–D adapted or reproduced from Yu et al., 2023, under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) [2]. ALP, tissue‐nonspecific alkaline phosphatase; UTR, untranslated region. *Number of variants that have been classified in the JKU ALPL variant database.

Infants with HPP may present with rickets, vitamin B6‐responsive seizures, respiratory failure, muscular hypotonia, hypercalciuria, and nephrocalcinosis, manifestations that can be life‐threatening if left untreated [12, 13, 14]. Children with HPP often experience premature loss of deciduous teeth and have skeletal abnormalities such as rickets, musculoskeletal pain, abnormal gait, and muscle weakness [15]. Adults with HPP frequently report musculoskeletal pain, dental manifestations, fatigue, muscle weakness, and pseudogout [16]. Some patients have a history of recurrent and poorly healing fractures [16].

HPP is diagnosed based on clinical and biochemical findings [7]. Persistently low age‐ and sex‐adjusted serum ALP activity is an obligate criterion for the diagnosis of HPP, although many other factors or conditions can lead to low ALP activity, including intensive care status or severe illness (e.g., cancer) causing low bone turnover, hypoparathyroidism or hypothyroidism, vitamin D intoxication, low magnesium, Celiac disease, and antiresorptive therapies [6, 7, 17, 18, 19]. Elevated plasma PLP and urinary phosphoethanolamine are assessed by ordering vitamin B6 and urine amino acids, respectively. These elevated substrates of ALP support a diagnosis of HPP [6]. A scoring system for assessing the likelihood of HPP includes these biochemical features in combination with unambiguous clinical features (e.g., presence of rickets/osteomalacia, early loss of deciduous teeth) [20].

Genetic testing for ALPL variants is currently the standard of care for patients with suspected HPP and should be performed whenever possible [7]. Children and adults with low ALP activity and disease manifestations overlapping those of other diagnoses benefit from confirmatory testing to diagnose HPP; this should be done before considering treatment.

Most of the 495 nucleotide and structural ALPL variants currently implicated in HPP are missense, with frameshift and other types present in smaller proportions of patients [21, 22]. These variants have been recorded in the Johannes Kepler University ALPL gene variant database [20].

Our understanding of the genetics of HPP continues to increase through ongoing research (such as analyses of data from the Global HPP Registry [23]), growing innovation, and availability of next‐generation sequencing technologies. The objective of this review is to provide an overview of the current state of knowledge of HPP genetics with the hope of improving diagnosis and management of HPP. Each topic is first described in a one‐paragraph synopsis, followed by a more detailed background on relevant topics in genetics for clinicians from other disciplines and current evidence in HPP.

2. Inheritance Patterns and Genotype–Phenotype Correlations in HPP

2.1. Synopsis

HPP is a Mendelian disorder with a mixed pattern of inheritance that is driven by variations in a single gene (ALPL). ALPL variants can be inherited in an autosomal dominant or autosomal recessive manner, and both inheritance patterns have been reported in the same family. The overall spectrum of HPP ranges from asymptomatic carriers to patients with life‐threatening, early‐onset disease that first manifests before 6 months of age. The heterogeneity of outcomes within families is partly explained by inheritance patterns and, in monoallelic disease, may be further characterized by incomplete penetrance or variable expressivity. There is a limited correlation between genotype and phenotype in HPP. However, phenotypic outcomes are more definitively tied to genotype among infants with early‐onset HPP, who typically have biallelic pathogenic variants [24]. In addition, patients with homozygous c.1559delT or c.1001G>A variants have historically been associated with lethal outcomes, as discussed below.

2.2. Genetics Background

Many genetic diseases that follow Mendelian inheritance patterns are monogenic (variants in only one gene) and exhibit one of two main inheritance patterns: autosomal dominant and autosomal recessive [25, 26]. In autosomal dominant inheritance, affected individuals are described as monoallelic or heterozygous, since only one of their two alleles carries a pathogenic variant [25, 27]. In autosomal recessive inheritance, affected individuals may be either homozygotes, with two copies of the same variant, or compound heterozygotes in trans, with two different genetic variants on each allele [27]. These patients are described as having biallelic disease since both alleles carry a pathogenic variant [25, 27]. In other rarer cases, an individual may carry a variant that was not inherited from a parent; these variants are de novo [28]. Rarer still, disorders may be inherited via uniparental disomy, in which two variants are inherited from a single parent, resulting in biallelic disease [29, 30].

Mendelian disorders often display nuances that contribute to variable disease presentations, including incomplete penetrance and variable expressivity. Incomplete penetrance refers to a phenomenon in which patients do not display the phenotype that is expected based on their genotype, and variable expressivity refers to the wide variety of clinical manifestations and degrees of severity that can be experienced by patients who have the same genetic variant [31]. As such, the clinical expression of genetic diseases is more challenging than simple dominant or recessive inheritance.

2.3. Supporting Evidence in HPP

HPP is a Mendelian disease caused by pathogenic variants in ALPL [32]. Similar to other monogenic disorders, clinical features often vary across patients [31]. In HPP, the spectrum of disease includes asymptomatic carriers, individuals with subclinical HPP, and patients with early‐ or late‐onset HPP. These terms describe the presence of genetic, biochemical, and clinical features of disease. Asymptomatic carriers are defined as those who carry an ALPL variant but have no biochemical or clinical manifestation of disease. Individuals with subclinical HPP carry an ALPL variant and exhibit the biochemical signature of HPP (i.e., persistently low ALP in the absence of other diagnoses or conditions and accumulation of ALP substrates [7, 33]) but have no overt clinical manifestations. Patients with early‐onset HPP first experience clinical manifestations of disease at < 6 months of age, and the disease may be life‐threatening in these patients. Patients with late‐onset HPP have the first onset of disease at ≥ 6 months of age and do not experience life‐threatening manifestations.

Autosomal dominant and autosomal recessive inheritance are both reported in HPP, with some studies reporting both modes of inheritance within the same family [34, 35, 36]. Most recurrent ALPL variants are due to founder effects, although there are infrequent case reports of HPP from de novo variants [37, 38, 39, 40]. While rare, two cases of HPP inherited via uniparental disomy have also been reported [29, 30]. The vast majority of patients with life‐threatening, early‐onset HPP have biallelic disease, although very rarely patients can have life‐threatening, monoallelic disease, as discussed for c.1559delT below [24, 32, 41]. Dominant inheritance of HPP is rarely apparent in infants; more likely, a second variant may have gone undetected during genetic testing as a result of limitations in sequencing technology, as discussed in Section 3 [24, 32, 42]. Patients with dominant inheritance typically manifest initial symptoms of HPP in childhood or adulthood [24, 32, 42]. Collectively, patients with biallelic disease are typically younger at diagnosis than those with monoallelic disease [24, 43, 44]. While the mode of inheritance in HPP may predict clinical outcomes to a limited extent, a wide range of phenotypic variability is still present among patients, potentially owing to incomplete penetrance and variable expressivity.

The pedigrees of families with HPP often suggest incomplete penetrance. In one instance of a pedigree spanning three generations, the grandmother and father both had a single c.571G>A variant and no clinical features of HPP [45]. ALP activity was low in the grandmother [45]. The proband was a granddaughter who had the same heterozygous c.571G>A variant but presented with short stature and multiple fractures, including one that resulted from minimal trauma [45]. This suggests that the c.571G>A variant is most likely dominant with variable expressivity. This finding was corroborated by an analysis of data in the UK Biobank showing that of 14 heterozygous patients who carried a c.571G>A variant and had repeated ALP measures, only 2 (14%) had persistently low ALP activity [46]. Additional clinical and biochemical features, not available in the UK Biobank, would be required to make an HPP diagnosis in these patients. Thus, the frequency of HPP in c.571G>A heterozygotes is likely lower than the 14% meeting the obligate criterion of persistently low ALP activity.

Pedigrees also demonstrate variable expressivity among family members who carry the same ALPL variant(s) (Figure 2) [4, 48, 49]. In one family, two children with identical compound heterozygous c.[571G>A];[1001G>A] variants presented differently from one another: one presented with failure to thrive, recurrent vomiting, and difficulty swallowing, while the second presented with dental manifestation, knock knees, and muscle soreness (Figure 2) [48]. ALP activity was below the reference range in both children [48]. The same c.[571G>A];[1001G>A] genotype has been reported in additional patients, including two siblings diagnosed in the first year of life who presented with failure to thrive and an adult woman with a history of musculoskeletal pain, fractures, and dental problems [48]. Less heterogeneity is observed in patients with autosomal recessive inheritance of variants associated with life‐threatening, early‐onset disease.

FIGURE 2.

FIGURE 2

Different phenotypes can occur among family members with the same ALPL variant. Figure adapted from Hofmann, et al., 2019 [4, 45, 47].

Similar variability in disease presentation has been reported among family members who are heterozygous for the same pathogenic variants. For example, a woman with low ALP activity, elevated PLP and urinary PEA, and a c.1231A>G ALPL variant had a history of frequent headaches, brain fog, balance problems, dental caries, bone pain, and metatarsal fracture, while her brother, who had the same heterozygous variant, had early loss of primary teeth, bone pain, and low ALP activity [35]. To date, the role of sex hormones in the regulation of ALPL gene expression and variable phenotypes is unknown.

Finally, multiple pedigrees have documented absent, subclinical, or late‐onset disease among parents who each carry a single ALPL variant, and life‐threatening disease among their children who inherit both variants, suggesting a dosage effect [35]. In one family, the mother was diagnosed with autosomal dominant HPP based on the presence of severe musculoskeletal pain, fatigue, dental problems, and a pathogenic c.331G>A ALPL variant [35]. The father had a pathogenic c.1426G>A variant and a history of poor dentition, but no biochemical workup was conducted. Their daughter, who had both variants present, died of HPP‐related respiratory insufficiency at age 31 days. In this family, the mother presented with autosomal dominant inheritance, whereas the father was classified as an asymptomatic carrier. Collectively, inheritance of HPP in this family is consistent with variable expressivity [35].

This culmination of factors collectively results in a limited correlation between genotype and phenotype in HPP [48, 50]. Despite this limitation, some genotypes are more definitively tied to distinct clinical outcomes in patients with HPP, particularly genotypes associated with life‐threatening, early‐onset disease. Homozygous c.[1559delT];[1559delT], which is prevalent in the Japanese general population, is associated with lethal outcomes in infants [51, 52]. Heterozygotes carrying a single c.1559delT variant have a variety of phenotypic outcomes, ranging from life‐threatening to subclinical (defined as having an ALPL variant and/or the biochemical phenotype of HPP without an overt clinical phenotype) [41, 53]. It is likely that patients with life‐threatening disease and a single c.1559delT variant harbor a second, undetected variant that contributes to their high disease burden. Compound heterozygotes carrying a c.1559delT variant and a second pathogenic variant experience a range of clinical features, although they are unlikely to have subclinical disease [51, 54, 55]. Homozygosity for c.1001G>A, which is prevalent among Mennonites in North America, is also associated with lethal outcomes [56, 57]. As with patients carrying a c.1559delT variant, patients with compound heterozygous or single heterozygous c.1001G>A variants have variable phenotypes and ages at first presentation [22, 57]. All reported HPP phenotypes associated with different ALPL genotypes and variants, including c.1559delT and c.1001G>A, can be viewed in the ALPL gene variant database (https://alplmutationdatabase.jku.at/table/) [20].

3. Symptom Manifestation and Disease Burden in Heterozygotes With HPP

3.1. Synopsis

Up to 83% of patients with late‐onset HPP are heterozygotes [23]. These patients can have a variable range of clinical signs and symptoms that can confer significant disease burden [2, 44]. Among patients with late‐onset HPP, several metrics of disease burden were similar between patients with 1 vs. ≥ 2 ALPL variants [44]. The best characterized phenomenon underlying disease manifestation in heterozygotes is the presence of variants that exert dominant‐negative effects (DNEs) [23]. More speculative reasons include the presence of variant(s) in modifier genes (i.e., additional variant(s) in postulated non‐ALPL genes that influence ALP expression or function and thus the HPP phenotype) [58], haploinsufficiency (loss of function) [59], the presence of a second ALPL variant not identified by current technology, and hormonal or epigenetic regulation of gene expression.

3.2. Genetics Background

Functional tissue‐nonspecific ALP protein operates as a dimer and may form a higher order octamer [4, 5]. If an abnormal protein interferes with the activity of the protein encoded by the normal allele, the variant is said to have a DNE [60]. Once both alleles (wild‐type and variant) are transcribed and translated, the abnormal protein monomer interferes with the activity of the wild‐type monomer, reducing enzyme stability or activity to < 50% of the wild‐type heterodimer [4, 60, 61]. The dominant‐negative protein may also cause impaired subcellular localization, including sequestration of the protein in the Golgi such that it cannot translocate to the cell membrane, which limits enzyme activity at the protein's functional site [60, 61]. Impaired enzyme activity may also be due to haploinsufficiency (loss of function), in which the wild‐type allele cannot produce sufficient amounts of protein to maintain normal function [32].

Disease burden may be influenced by the presence of variants outside the coding regions of the gene that causes the disease or by variants in other genes that contribute to disease outcomes. The presence of cis variants (i.e., variants present on the same allele) may be inherited in both the coding region of the target gene and the target gene's regulatory sequence [62]. These variants can alter the expression of functional alleles and potentially impact disease penetrance, thereby contributing to variations in symptom manifestation in heterozygotes [62]. Modifier genes are genes that influence disease outcomes despite not being the target gene [47]. Modifier genes may exert their effects through mechanistic overlap with the same biologic process as the target gene or through direct interaction with the protein product of the target gene. The consequence of these interactions is clinical variation among individuals with the same disease‐causing variants in the target gene. Thus, modifier genes are a potential mechanism underlying variable expressivity seen in single‐gene disorders [47].

3.3. Supporting Evidence in HPP

A substantial population of patients who have a diagnosis of HPP are heterozygotes, including up to 83% of patients with late‐onset HPP [23, 37]. This percentage is likely biased toward symptomatic patients who seek medical attention rather than asymptomatic carriers, given the population heterozygote carrier frequency of 1:187–1:274 [37, 63]. Among heterozygotes who are clinically diagnosed with late‐onset HPP, over half report pain and dental symptoms, and a third report constitutional/metabolic and skeletal manifestations [44]. Quality of life scores were below the healthy population average among heterozygous adults. Of note, pain, disability, and quality of life scores in this analysis were not significantly different from those of patients with biallelic disease, indicating that manifesting HPP is characterized by high disease burden regardless of variant state in this patient population [44].

Presence of dominant‐negative variants, as confirmed by in vitro functional testing, is one mechanism that explains disease manifestation in some heterozygotes with HPP [32]. Among 608 heterozygotes in the Global HPP Registry, 27% (164 of 608) had a variant that exerts a DNE according to in vitro testing, and 37% (227 of 608) had a variant with no DNE [23]. The remaining 36% (217 of 608) of patients in this analysis had a variant for which DNE testing was not performed. Classification of variants as dominant‐negative in this analysis was based on previous in vitro functional testing, a transfection study using 100% wild‐type, 100% mutant ALPL plasmid, and 50:50 co‐transfection of wild‐type and mutant ALPL plasmids [4]. Of 155 ALPL variants tested, 90 had low residual activity (≤ 25%) and 24 had a DNE, defined in this study as wild‐type/mutant activity < 0.4 [4].

Heterozygotes can have variants that do not exert DNE and still have HPP. For example, 4.4% of heterozygous patients in the Global HPP Registry have a c.571G>A variant, which does not exert a DNE, although they were considered to have a diagnosis of HPP by their clinician [23]. Residual enzyme activity is variably low (~21%–88%) and penetrance is thought to be low for c.571G>A when inherited in the heterozygous state [4, 23, 49]. Some reports have suggested that HPP in heterozygotes without a DNE is likely due to haploinsufficiency, although this is currently speculative and remains to be characterized [37, 59]. Regardless of variant state, individuals with an ALPL variant may never develop signs and symptoms of HPP or may do so later in life; that is, people can develop clinical manifestations of HPP in a cumulative, progressive fashion as they age [64].

Little is known about cis variants or potential modifier genes in HPP. The c.787T>C variant in exon 7 of ALPL is classified as benign, although it may cause subclinical HPP in the homozygous state or contribute to HPP when inherited with a second ALPL variant, even when the second variant is also considered benign [65]. One study identified COL1A2 as a potential modifier gene of HPP among adults with heterozygous ALPL variants, although this finding remains speculative [58]. An exome‐wide association study of data in the UK Biobank identified several genes associated with changes in ALP activity, such as GPLD1, IFITM5, APOB, PCK1, and HSPG2, which were associated with decreased ALP activity, and ABCB11, ASGR1, EDEM1, AKAP9, SLC39A5, and B4GALNT3, which were associated with increased ALP activity [46]. Other genes, including GPLD1, ABO, and REEP3, have been identified through genome‐wide association studies as modifiers of serum ALP activity and are also of interest for their potential role in modulating the HPP phenotype [66, 67, 68, 69]. Protein products of the genes ANKH, ENPP1, PANX1, and PHOSPHO1 are potentially of interest in HPP since they regulate the availability of ALP substrates, although these have not been investigated in HPP [70]. ALP activity may also be regulated by changes in hormones, including sex hormones [71], although this remains to be systematically evaluated in patients with HPP. Finally, while speculative, it is possible that heterozygotes with HPP have a second ALPL variant that was not detected by genetic sequencing. This is sometimes suspected in heterozygous infants with early‐onset, life‐threatening disease [24].

4. Identification of ALPL Variants in Patients With HPP

4.1. Synopsis

The vast majority of patients with HPP have at least one detectable ALPL variant, although occasionally this is difficult to prove with current technology that is applied in clinical practice and the consequent lack of available data. One estimate predicts that approximately 95% of patients are expected to have at least one detectable ALPL variant, although the true proportion may be higher [23]. It is unclear whether this reflects false negative test results related to sequencing techniques among patients who in fact have structural variants, insertions, deletions, or cryptic ALPL variants deep in intronic, promoter, or other regulatory regions, or whether alternative genes are implicated in HPP manifestations. For that reason, while detection of an ALPL variant can help confirm an HPP diagnosis, patients without a detected variant can still be diagnosed with HPP if clinical and biochemical signs are typical and other causes for low ALP activity have been excluded [7]. Investigation of any genes beyond ALPL that cause or modify the HPP phenotype is an ongoing research objective.

4.2. Genetics Background

When a diagnosis of HPP is suspected, standard practice is to perform sequencing of the coding regions (exons) and intron/exon borders of ALPL [32, 72]. Historically, because most sequencing assays did not cover introns and regulatory regions, some variants were missed. For example, sequencing approaches often failed to detect large heterozygous deletions (including whole gene deletions), whole gene duplications, deep intronic variants, and variants in regulatory regions (such as promoters) or untranslated regions [32, 73, 74, 75]. Advancements in next‐generation sequencing are helping address these challenges.

If initial sequencing methods do not detect an ALPL variant, alternative strategies may be applied. Genome sequencing (previously called “whole genome sequencing”) analyzes both coding and noncoding regions of DNA and thus provides greater coverage than exome sequencing [76]. While genome sequencing can detect nonexonic variants, some of these variants can be challenging to functionally test and may complicate interpretation of sequencing results. Long‐read sequencing can be used for genome or exome sequencing, and can also detect larger genomic changes not easily detectable by more common short‐read sequencing methodologies [77]. Because alterations in modifier genes can affect ALPL expression, RNA‐seq could help identify patients with decreased ALP activity in the absence of an ALPL variant.

4.3. Supporting Evidence in HPP

Sequencing techniques allow detection of ALPL variants in approximately 95% of patients with HPP; however, patients with unambiguous, persistent signs may be diagnosed with HPP even if sequencing fails to identify a variant [23, 78]. Sequencing technologies have evolved considerably over the past several years, and use of the more modern sequencing methods can sometimes reveal variants in patients who first appear to test negative for a variant. For example, multiplex ligation‐dependent probe amplification and deep analysis of branch point sequences have both identified variants that were originally missed by Sanger sequencing in patients with confirmed or suspected HPP [79, 80].

While emerging technology can sometimes detect missed variants, these techniques may still fail to detect variants in some patients. In an analysis of 16 patients who were diagnosed with HPP based on clinical and biochemical manifestations and were originally found to be negative for variants that were either pathogenic, likely pathogenic, or of uncertain significance, none were found to have an ALPL variant through genome sequencing [78]. It is unclear if these patients carried ALPL variants that remained undetected with genome sequencing or if they carried variants in other genes that may modify the HPP phenotype, as discussed in Section 2.

5. Variants of Uncertain Significance (VUS) and Their Role in the Diagnosis of HPP

5.1. Synopsis

A VUS is a variant that has not yet been definitively associated with disease or definitively determined not to be associated with disease. Patients who present with clinical and biochemical symptoms consistent with HPP can still be diagnosed with HPP despite carrying a heterozygous ALPL VUS. A VUS may be reclassified if substantial additional evidence for a pathogenic or benign classification is generated, or in cases with insufficient evidence, the variant may remain a VUS. The international ALPL Gene Variant Consortium comprises HPP expert clinicians, geneticists, genetic counselors, basic scientists, and biocurators who work to reclassify VUS submitted through their submission portal (https://alplmutationdatabase.jku.at/portal/).

5.2. Genetics Background

The American College of Medical Genetics and Genomics (ACMG) has five classifications of variants: pathogenic, likely pathogenic, VUS, likely benign, and benign [81]. The terms “likely pathogenic” and “likely benign” conservatively refer to 90% certainty that the variant is disease‐causing or benign, respectively [81]. Variants are classified as VUS when the criteria for the other four classifications are not met or when the criteria for pathogenic or benign are contradictory [81].

Given the conservative nature of this classification system, periodic testing and potential variant reclassification are important for providing clear interpretation of genetic variants. ALPL variants, including VUS, are continuously cataloged in the Johannes Kepler University ALPL Gene Variant Database (https://alplmutationdatabase.jku.at/) [20]. Through this freely accessible database, healthcare professionals and researchers can search for specific variants to determine their current classifications and access links to cases reporting these variants. Individual clinicians, geneticists, genetic counselors, and researchers may also submit novel variants and VUS to the project team through a submission portal (https://alplmutationdatabase.jku.at/portal/). VUS in the database are currently being assessed and potentially reclassified via the Global ALPL Gene Variant Classification project based on criteria from the ACMG and the Association for Molecular Pathology (AMP) [20, 81]. Classification is a multistep process that includes assessing the clinical phenotype suggestive of HPP, searching available literature, evaluating genetic evidence, performing functional testing, conducting a full variant assessment according to modified ACMG/AMP specifications, and completing a consortium review and variant reclassification. Newly classified variants are updated in the ALPL gene variant database and are submitted to ClinVar [20].

5.3. Supporting Evidence in HPP

Among patients enrolled in the Global HPP Registry, 6.3% of patients have at least one VUS and 4.4% of patients exclusively have a VUS [23]. VUS can create uncertainty about the diagnosis of HPP, potentially leading to delays in appropriate treatment (Figure 3) [20, 84, 85]. HPP is likely in an individual who presents with the biochemical signature of HPP and typical, unambiguous clinical signs and symptoms of the disease, even if they carry a VUS instead of a pathogenic or likely pathogenic variant [7, 20]. Notably, detection of a pathogenic or likely pathogenic ALPL variant is not required for diagnosis of HPP [7]. While reclassification of VUS as pathogenic or benign can occur at any time, reports of this in the current literature for HPP are sparse [86, 87]. A recent analysis reclassified 3 VUS (c.69_74del, c.875C>T, and c.1135C>A) as either pathogenic or likely pathogenic among patients who were suspected to have HPP [87]. Importantly, an effort is ongoing through the Global ALPL Gene Variant Classification project to examine and reclassify ALPL VUS [33]. As of 2025, 100 VUS have been examined for potential reclassification [33]. To date, 73 of these VUS were reclassified as pathogenic or likely pathogenic, 4 were reclassified as benign or likely benign, and 23 remained VUS [33]. Of the 100 variants, 82 were missense, 7 were frameshift, 4 were in‐frame deletions, 2 were intronic variants, 2 were synonymous, 2 were nonsense, and 1 was a splice site variant [33].

FIGURE 3.

FIGURE 3

Challenges associated with VUS [82, 83]. VUS, variant of uncertain significance.

6. Fetal and Newborn Testing for Familial ALPL Variants and the Role of Testing in Treatment Decisions

6.1. Synopsis

It is increasingly common for people to obtain prenatal genetic testing to identify an ALPL variant(s). Preconception or prenatal genetic testing may be performed based on family history for HPP or upon discovery of skeletal abnormalities on ultrasound. Typically, prenatal genetic testing is performed to better understand risk of disease, as both autosomal dominant and autosomal recessive diseases have implications for disease burden and recurrence risk. Careful counseling of mothers for cases identified in utero via sonogram or genetic testing is required, as it can be difficult to distinguish between developing fetuses likely to be born with life‐threatening vs. nonlife‐threatening HPP.

6.2. Genetics Background

Prenatal genetic testing may include single‐gene or multigene sequencing, with family history and clinical signs in utero guiding testing decisions. Known familial variants are typically assessed in utero through targeted sequencing, whereas comprehensive gene panels (e.g., skeletal dysplasia panels) are a more efficient choice when signs are ambiguous on ultrasound and/or when there is no family history of HPP, as discussed in the Background portion of Section 3 [28]. Such testing can be useful for identifying a number of skeletal disorders that are part of the differential diagnosis for HPP, including osteogenesis imperfecta, X‐linked hypophosphatemia, and others [88, 89]. Trio testing, which describes genetic testing of the fetus and both parents, is an effective and useful tool that can increase diagnostic rates and inform clinical decision‐making [90]. Since genetic testing is performed on both parents, this approach also provides valuable insights on genetic phasing in the fetus.

6.3. Supporting Evidence in HPP

Detecting HPP in a developing fetus is usually accomplished through a combination of ultrasound and genetic testing. However, sonography is not often definitive to determine if an infant will be born with life‐threatening HPP [91, 92]. First, the clinical signs of impaired mineralization that are detected with ultrasound, including short or bowed long bones, deficient bone ossification, lung hypoplasia, and small, beaded ribs, are ambiguous findings that may point to HPP or to other disorders such as osteogenesis imperfecta [93]. Second, sonography typically cannot distinguish between life‐threatening and nonlife‐threatening HPP [91]. In addition, signs of HPP can improve or stabilize in the third trimester or after birth, complicating early diagnosis based on ultrasound [94, 95, 96]. While these features alone may be clinically ambiguous, elaboration of these findings with family mapping and genetic testing can aid in diagnosis.

Genetic testing can help identify HPP in utero and should be performed if HPP is suspected based on ultrasound findings or positive family history [91, 93]. Life‐threatening HPP is typically inherited in an autosomal recessive manner (i.e., biallelic disease) [91, 95]. As such, detection of multiple ALPL variants may shed light on phenotypic outcomes after birth, especially if the fetus has a well‐characterized genotype, such as c.[1559delT];[1559delT] or c.[1001G>A];[1001G>A], which more definitively predict life‐threatening outcomes [51, 57]. It is, however, noteworthy that biallelic disease is also reported in patients with nonlife‐threatening HPP, and the presence of two variants cannot always predict life‐threatening disease, as discussed in Section 1. Obtaining information on ALP activity in the mother (before pregnancy) and father may be a useful strategy for predicting outcomes in the fetus. Prognosis of the developing fetus may also be more predictable if a previous pregnancy or sibling showed the same genetic variant(s), although children with genotypes identical to those of their family members may still have variable phenotypes. Further work is needed to identify additional genotypes, beyond c.[1559delT];[1559delT] and c.[1001G>A];[1001G>A], that may predict a life‐threatening outcome.

Newborn screening tests do not test for HPP and are not currently recommended by the U.S. Department of Health and Human Services as part of the Recommended Uniform Screening Panel. As with pediatric and adult patients, newborns are tested for ALPL variants on the basis of clinical manifestations and/or family history. The newborn assessment landscape is likely to change in the near future. Ongoing studies, including the Generation Study in England and a large newborn screening study in China, are being undertaken as public health initiatives to use genetic screening to detect a wide range of conditions in newborns, including HPP [97, 98].

7. Conclusions and Future Directions

HPP is characterized by high clinical heterogeneity, even in patients with the same ALPL variant(s), suggesting incomplete penetrance and variable expressivity. Heterozygotes with a single ALPL variant may be asymptomatic carriers with no biochemical signature or may have subclinical HPP with the biochemical signature of disease but no overt clinical manifestations. Alternatively, heterozygotes may be diagnosed with HPP based on clinical features and can experience appreciable disease burden that may accumulate over the course of their lives. While not all patients have an identifiable ALPL variant and some may present with a VUS, this does not preclude diagnosis of HPP, provided that they present with the biochemical signature of HPP and unambiguous clinical manifestations of the disease. Tailored genetic counseling should be given to individuals with suspected HPP, as well as family members of those with suspected or confirmed diagnoses.

HPP is a rare disease and, as such, information is limited. Further research involving large genetic databases, including UK Biobank, All of Us, and BioVU, is needed to help resolve current gaps in the literature on HPP genetics, such as the presence and effects of modifier genes [99, 100, 101]. Investigation of epigenetic factors that may influence the HPP phenotype is also warranted. Such research may help identify sources of variable expressivity in HPP disease manifestations and increase the predictability of clinical outcomes from genotype data. Several genomic screening studies are in progress to assess for HPP and other diseases among newborns, including GUARDIAN (Genomic Uniform‐screening Against Rare Disease in All Newborns), BabySeq, and BeginNGS [1, 82, 102]. These systems may change the genetic testing landscape and have a profound influence on the early detection of inherited metabolic disorders. In a pilot clinical trial among 120 infants in a neonatal intensive care unit, BeginNGS screening had a true positive rate of 4.2% with 83% sensitivity (5 of 6 patients) for all disorders assessed [83]. Patient management was anticipated to change based on findings in each of the 5 patients with true positive results, highlighting the benefit of BeginNGS among infants with genetic disorders treated in the neonatal intensive care unit [83]. Finally, a substantial number of VUS are continuously being reclassified, and new genotypes and associated phenotypes are continuously added to the ALPL Gene Variant Database [33], which increases diagnostic certainty, increases information on the phenotypic spectrum, and assists in counseling.

Author Contributions

Conceptualization: Meena Balasubramanian and Catherine Rehder. Data curation and formal analysis: Meena Balasubramanian. Validation: Wolfgang Högler, Meena Balasubramanian, and Eric T. Rush. Writing – original draft: All authors. Writing – review and editing: All authors.

Conflicts of Interest

Priya S. Kishnani consults for and has received research funding and honoraria from Alexion, AstraZeneca Rare Disease. Catherine Rehder has received salary support from the Johannes Kepler University Linz agreement. Keiichi Ozono has received research funding and honoraria, and support for meetings and/or travel from Alexion, AstraZeneca Rare Disease. Jordi Pérez‐López and William R. Mowrey are employees of Alexion, AstraZeneca Rare Disease and may own stock/options in AstraZeneca. Guillermo del Angel is an employee of AstraZeneca and may own stock/options in AstraZeneca. Meena Balasubramanian has received research grants, consulting fees, payment or honoraria, and support for meetings and/or travel from Alexion, AstraZeneca Rare Disease. Wolfgang Högler consults for and has received research funding and honoraria from Alexion, AstraZeneca Rare Disease, and BioMarin. He has received support for meetings and/or travel from BioMarin, Novo Nordisk, Sandoz, and Alexion, AstraZeneca Rare Disease. Eric T. Rush has received research funding to his institution from Alexion AstraZeneca Rare Disease and Ultragenyx. He has received consulting fees and payment or honoraria from Alexion, AstraZeneca Rare Disease, Ultragenyx, Inozyme, Ipsen, and Kyowa Kirin. He has received support for meetings and/or travel from Alexion, AstraZeneca Rare Disease and Kyowa Kirin and participates on a data safety monitoring or advisory board for Inozyme.

Supporting information

Supplementary Data: jimd70090‐sup‐0001‐Data.docx.

JIMD-48-0-s001.docx (21.3KB, docx)

Kishnani P. S., Rehder C., Ozono K., et al., “Revisiting the Genetics of Hypophosphatasia,” Journal of Inherited Metabolic Disease 48, no. 6 (2025): e70083, 10.1002/jimd.70083.

Funding: This work was supported by Alexion, AstraZeneca Rare Disease. Editorial support was provided by Stephan Lindsey, PhD, and Violet Kiesel, PhD, of Peloton Advantage LLC, an OPEN Health company, funded by Alexion, AstraZeneca Rare Disease.

Wolfgang Högler and Eric T. Rush contributed equally to this work.

Data Availability Statement

Alexion, AstraZeneca Rare Disease will consider requests for disclosure of clinical study participant‐level data provided that participant privacy is assured through methods like data de‐identification, pseudonymization, or anonymization (as required by applicable law), and if such disclosure was included in the relevant study informed consent form or similar documentation. Qualified academic investigators may request participant‐level clinical data and supporting documents (statistical analysis plan and protocol) pertaining to Alexion‐sponsored studies. Further details regarding data availability and instructions for requesting information are available in the Alexion Clinical Trials Disclosure and Transparency Policy at https://www.alexionclinicaltrialtransparency.com/data‐requests/.

References

  • 1. Ziegler A., Koval‐Burt C., Kay D. M., et al., “Expanded Newborn Screening Using Genome Sequencing for Early Actionable Conditions,” Journal of the American Medical Association 333, no. 3 (2024): 232–240. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2. Montero‐Lopez R., Farman M. R., Högler F., Saraff V., and Högler W., “Challenges in Hypophosphatasia: Suspicion, Diagnosis, Genetics, Management, and Follow‐Up,” Hormone Research in Pædiatrics (2024): 1–10. [DOI] [PubMed] [Google Scholar]
  • 3. Weiss M. J., Ray K., Henthorn P. S., Lamb B., Kadesch T., and Harris H., “Structure of the Human Liver/Bone/Kidney Alkaline Phosphatase Gene,” Journal of Biological Chemistry 263, no. 24 (1988): 12002–12010. [PubMed] [Google Scholar]
  • 4. del Angel G., Reynders J., Negron C., Steinbrecher T., and Mornet E., “Large‐Scale In Vitro Functional Testing and Novel Variant Scoring via Protein Modeling Provide Insights Into Alkaline Phosphatase Activity in Hypophosphatasia,” Human Mutation 41, no. 7 (2020): 1250–1262. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5. Yu Y., Rong K., Yao D., et al., “The Structural Pathology for Hypophosphatasia Caused by Malfunctional Tissue Non‐Specific Alkaline Phosphatase,” Nature Communications 14, no. 1 (2023): 4048. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6. Saraff V., Narayanan V. K., Lawson A. J., Shaw N. J., Preece M. A., and Hogler W., “A Diagnostic Algorithm for Children With Low Alkaline Phosphatase Activities: Lessons Learned From Laboratory Screening for Hypophosphatasia,” Journal of Pediatrics 172 (2016): 181–186. [DOI] [PubMed] [Google Scholar]
  • 7. Khan A., Brandi M. L., Rush E. T., et al., “Hypophosphatasia Diagnosis: Current State of the Art and Proposed Diagnostic Criteria for Children and Adults,” Osteoporosis International 35, no. 3 (2024): 431–438. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8. Conti F., Ciullini L., and Pugliese G., “Hypophosphatasia: Clinical Manifestation and Burden of Disease in Adult Patients,” Clinical Cases in Mineral and Bone Metabolism 14, no. 2 (2017): 230–234. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9. Salles J. P., “Hypophosphatasia: Biological and Clinical Aspects, Avenues for Therapy,” Clinical Biochemistry Reviews 41, no. 1 (2020): 13–27. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10. Millán J. L., “Alkaline Phosphatases: Structure, Substrate Specificity and Functional Relatedness to Other Members of a Large Superfamily of Enzymes,” Purinergic Signal 2, no. 2 (2006): 335–341. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11. Shajani‐Yi Z., Ayala‐Lopez N., Black M., and Dahir K. M., “Urine Phosphoethanolamine Is a Specific Biomarker for Hypophosphatasia in Adults,” Bone 163 (2022): 116504. [DOI] [PubMed] [Google Scholar]
  • 12. Martos‐Moreno G., Rockman‐Greenberg C., Ozono K., et al., “Clinical Profiles of Children With Hypophosphatasia Prior to Treatment With Enzyme Replacement Therapy: An Observational Analysis From the Global HPP Registry,” Hormone Research in Pædiatrics 97, no. 3 (2024): 233–242. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13. Kishnani P. S., Rush E. T., Arundel P., et al., “Monitoring Guidance for Patients With Hypophosphatasia Treated With Asfotase Alfa,” Molecular Genetics and Metabolism 122, no. 1–2 (2017): 4–17. [DOI] [PubMed] [Google Scholar]
  • 14. Whyte M. P., Rockman‐Greenberg C., Ozono K., et al., “Asfotase Alfa Treatment Improves Survival for Perinatal and Infantile Hypophosphatasia,” Journal of Clinical Endocrinology and Metabolism 101, no. 1 (2016): 334–342. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15. Högler W., Linglart A., Petryk A., et al., “Growth and Disease Burden in Children With Hypophosphatasia,” Endocrine Connections 12, no. 5 (2023): e220240. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16. Dahir K. M., Seefried L., Kishnani P. S., et al., “Clinical Profiles of Treated and Untreated Adults With Hypophosphatasia in the Global HPP Registry,” Orphanet Journal of Rare Diseases 17, no. 1 (2022): 277. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17. Brandi M. L., Khan A. A., Rush E. T., et al., “The Challenge of Hypophosphatasia Diagnosis in Adults: Results From the HPP International Working Group Literature Surveillance,” Osteoporosis International 35, no. 3 (2024): 439–449. [DOI] [PubMed] [Google Scholar]
  • 18. Rush E., Brandi M. L., Khan A. A., et al., “Proposed Diagnostic Criteria for the Diagnosis of Hypophosphatasia in Children and Adolescents: Results From the HPP International Working Group,” Osteoporosis International 35, no. 1 (2024): 1–10. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19. Fujiwara S., Otsuka Y., Furukawa M., Higashikage A., and Otsuka F., “Clinical Characteristics of Persistent Hypophosphatasemia Uncovered in Adult Patients: A Retrospective Study at a Japanese Tertiary Hospital,” Journal of Clinical Medicine 13, no. 23 (2024): 7078. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20. Farman M. R., Rehder C., Malli T., et al., “The Global ALPL Gene Variant Classification Project: Dedicated to Deciphering Variants,” Bone 178 (2024): 116947. [DOI] [PubMed] [Google Scholar]
  • 21. Högler W., Langman C., da Silva H. G., et al., “Diagnostic Delay Is Common Among Patients With Hypophosphatasia: Initial Findings From a Longitudinal, Prospective, Global Registry,” BMC Musculoskeletal Disorders 20, no. 1 (2019): 80. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22. Kishnani P. S., Del Angel G., Zhou S., and Rush E. T., “Investigation of ALPL Variant States and Clinical Outcomes: An Analysis of Adults and Adolescents With Hypophosphatasia Treated With Asfotase Alfa,” Molecular Genetics and Metabolism 133, no. 1 (2021): 113–121. [DOI] [PubMed] [Google Scholar]
  • 23. Kishnani P. S., Seefried L., Dahir K. M., et al., “New Insights Into the Landscape of ALPL Gene Variants in Patients With Hypophosphatasia From the Global HPP Registry,” American Journal of Medical Genetics. Part A 194, no. 11 (2024): e63781. [DOI] [PubMed] [Google Scholar]
  • 24. Whyte M. P., Zhang F., Wenkert D., et al., “Hypophosphatasia: Validation and Expansion of the Clinical Nosology for Children From 25 Years Experience With 173 Pediatric Patients,” Bone 75 (2015): 229–239. [DOI] [PubMed] [Google Scholar]
  • 25. Zschocke J., Byers P. H., and Wilkie A. O. M., “Mendelian Inheritance Revisited: Dominance and Recessiveness in Medical Genetics,” Nature Reviews Genetics 24, no. 7 (2023): 442–463. [DOI] [PubMed] [Google Scholar]
  • 26. Spataro N., Rodríguez J. A., Navarro A., and Bosch E., “Properties of Human Disease Genes and the Role of Genes Linked to Mendelian Disorders in Complex Disease Aetiology,” Human Molecular Genetics 26, no. 3 (2017): 489–500. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27. Kelly M. and Semsarian C., “Multiple Mutations in Genetic Cardiovascular Disease: A Marker of Disease Severity?” Circulation. Cardiovascular Genetics 2, no. 2 (2009): 182–190. [DOI] [PubMed] [Google Scholar]
  • 28. Taillandier A., Domingues C., De Cazanove C., et al., “Molecular Diagnosis of Hypophosphatasia and Differential Diagnosis by Targeted Next Generation Sequencing,” Molecular Genetics and Metabolism 116, no. 3 (2015): 215–220. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29. Watanabe A., Satoh S., Fujita A., Naing B. T., Orimo H., and Shimada T., “Perinatal Hypophosphatasia Caused by Uniparental Isodisomy,” Bone 60 (2014): 93–97. [DOI] [PubMed] [Google Scholar]
  • 30. Hancarova M., Krepelova A., Puchmajerova A., et al., “Hypophosphatasia Due to Uniparental Disomy,” Bone 81 (2015): 765–766. [DOI] [PubMed] [Google Scholar]
  • 31. Kingdom R. and Wright C. F., “Incomplete Penetrance and Variable Expressivity: From Clinical Studies to Population Cohorts,” Frontiers in Genetics 13 (2022): 920390. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32. Mornet E., “Hypophosphatasia,” Metabolism 82 (2018): 142–155. [DOI] [PubMed] [Google Scholar]
  • 33. Farman M. R., Malli T., Rehder C., et al., “The ALPL Gene Variant Project: Results of the First 100 Reclassified Variants,” JBMR Plus 9, no. 6 (2025): ziaf044. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34. Macfarlane J. D., Kroon H. M., and Cats A., “Ectopic Calcification in Hypophosphatasia,” European Journal of Radiology 6, no. 3 (1986): 228–230. [PubMed] [Google Scholar]
  • 35. Huggins E., Ong R., Rockman‐Greenberg C., Flueckinger L. B., Dahir K. M., and Kishnani P. S., “Multigenerational Case Examples of Hypophosphatasia: Challenges in Genetic Counseling and Disease Management,” Molecular Genetics and Metabolism Reports 25 (2020): 100661. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36. Moore C. A., Ward J. C., Rivas M. L., Magill H. L., and Whyte M. P., “Infantile Hypophosphatasia: Autosomal Recessive Transmission to Two Related Sibships,” American Journal of Medical Genetics 36, no. 1 (1990): 15–22. [DOI] [PubMed] [Google Scholar]
  • 37. Mornet E., Taillandier A., Domingues C., et al., “Hypophosphatasia: A Genetic‐Based Nosology and New Insights in Genotype‐Phenotype Correlation,” European Journal of Human Genetics 29, no. 2 (2021): 289–299. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38. Martins L., Dos Santos E. L., de Almeida A. B., et al., “A Novel De Novo Heterozygous ALPL Nonsense Mutation Associated With Adult Hypophosphatasia,” Osteoporosis International 31, no. 11 (2020): 2251–2257. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39. Taillandier A., Sallinen S. L., Brun‐Heath I., De Mazancourt P., Serre J. L., and Mornet E., “Childhood Hypophosphatasia Due to a De Novo Missense Mutation in the Tissue‐Nonspecific Alkaline Phosphatase Gene,” Journal of Clinical Endocrinology and Metabolism 90, no. 4 (2005): 2436–2439. [DOI] [PubMed] [Google Scholar]
  • 40. Zhang H., Ke Y. H., Wang C., et al., “Identification of the Mutations in the Tissue‐Nonspecific Alkaline Phosphatase Gene in Two Chinese Families With Hypophosphatasia,” Archives of Medical Research 43, no. 1 (2012): 21–30. [DOI] [PubMed] [Google Scholar]
  • 41. Kitoh H., Izawa M., Kaneko H., et al., “Two Children With Hypophosphatasia With a Heterozygous c.1559delT Variant in the ALPL Gene, the Most Common Variant in Japanese Populations,” Bone Reports 17 (2022): 101626. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42. Vogt M., Girschick H., Schweitzer T., et al., “Pediatric Hypophosphatasia: Lessons Learned From a Retrospective Single‐Center Chart Review of 50 Children,” Orphanet Journal of Rare Diseases 15, no. 1 (2020): 212. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43. Lefever E., Witters P., Gielen E., et al., “Hypophosphatasia in Adults: Clinical Spectrum and Its Association With Genetics and Metabolic Substrates,” Journal of Clinical Densitometry 23, no. 3 (2020): 340–348. [DOI] [PubMed] [Google Scholar]
  • 44. Kishnani P. S., Seefried L., Dahir K. M., et al., “Disease Burden by ALPL Variant Number in Patients With Non‐Life‐Threatening Hypophosphatasia in the Global HPP Registry,” Journal of Medical Genetics 62, no. 4 (2025): 249–257. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45. Kannu P., Khan A. A., Francis M., and Adachi J. D., Multigenerational Genetic Inheritance and Clinical Characteristics of the Rare Disease Hypophosphatasia in 6 Families: A Case Series [poster]. Presented at: Annual Meeting of the American Society for Bone and Mineral Research; September 27–30, 2024; Toronto, ON, Canada.
  • 46. del Angel G., Mowrey W. R., Petryk A., et al., “Genetic Landscape of ALPL and Other Genes Impacting ALP Variation in the UK Biobank [Abstract P027],” Clinical Genetics and Medicine Open 3, no. S2 (2025): 102870. [Google Scholar]
  • 47. Riordan J. D. and Nadeau J. H., “From Peas to Disease: Modifier Genes, Network Resilience, and the Genetics of Health,” American Journal of Human Genetics 101, no. 2 (2017): 177–191. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48. Hofmann C., Girschick H., Mornet E., Schneider D., Jakob F., and Mentrup B., “Unexpected High Intrafamilial Phenotypic Variability Observed in Hypophosphatasia,” European Journal of Human Genetics 22, no. 10 (2014): 1160–1164. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49. Zurutuza L., Muller F., Gibrat J. F., et al., “Correlations of Genotype and Phenotype in Hypophosphatasia,” Human Molecular Genetics 8, no. 6 (1999): 1039–1046. [DOI] [PubMed] [Google Scholar]
  • 50. Jandl N. M., Schmidt T., Rolvien T., et al., “Genotype‐Phenotype Associations in 72 Adults With Suspected ALPL‐Associated Hypophosphatasia,” Calcified Tissue International 108, no. 3 (2021): 288–301. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51. Michigami T., Tachikawa K., Yamazaki M., Kawai M., Kubota T., and Ozono K., “Hypophosphatasia in Japan: ALPL Mutation Analysis in 98 Unrelated Patients,” Calcified Tissue International 106, no. 3 (2020): 221–231. [DOI] [PubMed] [Google Scholar]
  • 52. Taketani T., Onigata K., Kobayashi H., Mushimoto Y., Fukuda S., and Yamaguchi S., “Clinical and Genetic Aspects of Hypophosphatasia in Japanese Patients,” Archives of Disease in Childhood 99, no. 3 (2014): 211–215. [DOI] [PubMed] [Google Scholar]
  • 53. Watanabe A., Yamamasu S., Shinagawa T., et al., “Prenatal Genetic Diagnosis of Severe Perinatal (Lethal) Hypophosphatasia,” Journal of Nippon Medical School 74, no. 1 (2007): 65–69. [DOI] [PubMed] [Google Scholar]
  • 54. Fukushima K., Kawai‐Kowase K., Yonemoto Y., et al., “Adult Hypophosphatasia With Compound Heterozygous p.Phe327Leu Missense and c.1559delT Frameshift Mutations in Tissue‐Nonspecific Alkaline Phosphatase Gene: A Case Report,” Journal of Medical Case Reports 13, no. 1 (2019): 101. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55. Oyachi M., Harada D., Sakamoto N., et al., “A Case of Perinatal Hypophosphatasia With a Novel Mutation in the ALPL Gene: Clinical Course and Review of the Literature,” Clinical Pediatric Endocrinology 27, no. 3 (2018): 179–186. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56. Greenberg C. R., Taylor C. L., Haworth J. C., et al., “A Homoallelic Gly317–>Asp Mutation in ALPL Causes the Perinatal (Lethal) Form of Hypophosphatasia in Canadian mennonites,” Genomics 17, no. 1 (1993): 215–217. [DOI] [PubMed] [Google Scholar]
  • 57. Leung E. C., Mhanni A. A., Reed M., Whyte M. P., Landy H., and Greenberg C. R., “Outcome of Perinatal Hypophosphatasia in Manitoba Mennonites: A Retrospective Cohort Analysis,” JIMD Reports 11 (2013): 73–78. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58. Taillandier A., Domingues C., Dufour A., et al., “Genetic Analysis of Adults Heterozygous for ALPL Mutations,” Journal of Bone and Mineral Metabolism 36, no. 6 (2018): 723–733. [DOI] [PubMed] [Google Scholar]
  • 59. Tournis S., Yavropoulou M. P., Polyzos S. A., and Doulgeraki A., “Hypophosphatasia,” Journal of Clinical Medicine 10, no. 23 (2021): 5676. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60. Gariballa N., Mohamed F., Badawi S., and Ali B. R., “The Double Whammy of ER‐Retention and Dominant‐Negative Effects in Numerous Autosomal Dominant Diseases: Significance in Disease Mechanisms and Therapy,” Journal of Biomedical Science 31, no. 1 (2024): 64. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61. Fauvert D., Brun‐Heath I., Lia‐Baldini A. S., et al., “Mild Forms of Hypophosphatasia Mostly Result From Dominant Negative Effect of Severe Alleles or From Compound Heterozygosity for Severe and Moderate Alleles,” BMC Medical Genetics 10 (2009): 51. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62. Castel S. E., Cervera A., Mohammadi P., et al., “Modified Penetrance of Coding Variants by Cis‐Regulatory Variation Contributes to Disease Risk,” Nature Genetics 50, no. 9 (2018): 1327–1334. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63. Beck N. M., Sagaser K. G., Lawson C. S., et al., “Not Just a Carrier: Clinical Presentation and Management of Patients With Heterozygous Disease‐Causing Alkaline Phosphatase (ALPL) Variants Identified Through Expanded Carrier Screening,” Molecular Genetics & Genomic Medicine 11, no. 1 (2023): e2056. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64. Szabo S. M., Tomazos I. C., Petryk A., et al., “Frequency and Age at Occurrence of Clinical Manifestations of Disease in Patients With Hypophosphatasia: A Systematic Literature Review,” Orphanet Journal of Rare Diseases 14, no. 1 (2019): 85. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65. Matsuda N., Takasawa K., Ohata Y., et al., “Potential Pathological Role of Single Nucleotide Polymorphism (c.787T>C) in Alkaline Phosphatase (ALPL) for the Phenotypes of Hypophosphatasia,” Endocrine Journal 67, no. 12 (2020): 1227–1232. [DOI] [PubMed] [Google Scholar]
  • 66. Chambers J. C., Zhang W., Sehmi J., et al., “Genome‐Wide Association Study Identifies Loci Influencing Concentrations of Liver Enzymes in Plasma,” Nature Genetics 43, no. 11 (2011): 1131–1138. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67. Kamatani Y., Matsuda K., Okada Y., et al., “Genome‐Wide Association Study of Hematological and Biochemical Traits in a Japanese Population,” Nature Genetics 42, no. 3 (2010): 210–215. [DOI] [PubMed] [Google Scholar]
  • 68. Yuan X., Waterworth D., Perry J. R., et al., “Population‐Based Genome‐Wide Association Studies Reveal Six Loci Influencing Plasma Levels of Liver Enzymes,” American Journal of Human Genetics 83, no. 4 (2008): 520–528. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69. Li J., Gui L., Wu C., et al., “Genome‐Wide Association Study on Serum Alkaline Phosphatase Levels in a Chinese Population,” BMC Genomics 14 (2013): 684. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70. Liedtke D., Hofmann C., Jakob F., Klopocki E., and Graser S., “Tissue‐Nonspecific Alkaline Phosphatase‐A Gatekeeper of Physiological Conditions in Health and a Modulator of Biological Environments in Disease,” Biomolecules 10, no. 12 (2020): 1648. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 71. Ing N. H., “Steroid Hormones Regulate Gene Expression Posttranscriptionally by Altering the Stabilities of Messenger RNAs,” Biology of Reproduction 72, no. 6 (2005): 1290–1296. [DOI] [PubMed] [Google Scholar]
  • 72. Tenorio J., Alvarez I., Riancho‐Zarrabeitia L., et al., “Molecular and Clinical Analysis of ALPL in a Cohort of Patients With Suspicion of Hypophosphatasia,” American Journal of Medical Genetics. Part A 173, no. 3 (2017): 601–610. [DOI] [PubMed] [Google Scholar]
  • 73. Nunes M. E., “Hypophosphatasia,” in GeneReviews(R), ed. Adam M. P., Feldman J., Mirzaa G. M., et al. (University of Washington, Seattle, 2023). [PubMed] [Google Scholar]
  • 74. Lo Y. F., Nozu K., Iijima K., et al., “Recurrent Deep Intronic Mutations in the SLC12A3 Gene Responsible for Gitelman's Syndrome,” Clinical Journal of the American Society of Nephrology 6, no. 3 (2011): 630–639. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 75. Barrett L. W., Fletcher S., and Wilton S. D., “Untranslated Gene Regions and Other Non‐Coding Elements,” in Untranslated Gene Regions and Other Non‐Coding Elements: Regulation of Eukaryotic Gene Expression, ed. Barrett L. W., Fletcher S., and Wilton S. D. (Springer Basel, 2013), 1–56. [Google Scholar]
  • 76. Nurchis M. C., Radio F. C., Salmasi L., et al., “Cost‐Effectiveness of Whole‐Genome vs Whole‐Exome Sequencing Among Children With Suspected Genetic Disorders,” JAMA Network Open 7, no. 1 (2024): e2353514. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 77. Hu T., Chitnis N., Monos D., and Dinh A., “Next‐Generation Sequencing Technologies: An Overview,” Human Immunology 82, no. 11 (2021): 801–811. [DOI] [PubMed] [Google Scholar]
  • 78. Seefried L., Petryk A., Del Angel G., Reder F., and Bauer P., “Whole Genome Sequencing in Adults With Clinical Hallmarks of Hypophosphatasia Negative for ALPL Variants,” Molecular Biology Reports 51, no. 1 (2024): 984. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 79. Hepp N., Frederiksen A. L., Duno M., Præst Holm J., Rye Jørgensen N., and Beck Jensen J. E., “Biochemical, Clinical and Genetic Characteristics in Adults With Persistent Hypophosphatasaemia; Data From an Endocrinological Outpatient Clinic in Denmark,” Bone Reports 15 (2021): 101101. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 80. Mentrup B., Girschick H., Jakob F., and Hofmann C., “A Homozygous Intronic Branch‐Point Deletion in the ALPL Gene Causes Infantile Hypophosphatasia,” Bone 94 (2017): 75–83. [DOI] [PubMed] [Google Scholar]
  • 81. Richards S., Aziz N., Bale S., et al., “Standards and Guidelines for the Interpretation of Sequence Variants: A Joint Consensus Recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology,” Genetics in Medicine 17, no. 5 (2015): 405–424. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 82. Holm I. A., Agrawal P. B., Ceyhan‐Birsoy O., et al., “The BabySeq Project: Implementing Genomic Sequencing in Newborns,” BMC Pediatrics 18, no. 1 (2018): 225. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 83. Kingsmore S. F., Wright M., Olsen L., et al., “Genome‐Based Newborn Screening for Severe Childhood Genetic Diseases Has High Positive Predictive Value and Sensitivity in a NICU Pilot Trial,” American Journal of Human Genetics 111, no. 12 (2024): 2643–2667. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 84. Burke W., Parens E., Chung W. K., Berger S. M., and Appelbaum P. S., “The Challenge of Genetic Variants of Uncertain Clinical Significance: A Narrative Review,” Annals of Internal Medicine 175, no. 7 (2022): 994–1000. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 85. Hoffman‐Andrews L., “The Known Unknown: The Challenges of Genetic Variants of Uncertain Significance in Clinical Practice,” Journal of Law and the Biosciences 4, no. 3 (2018): 648–657. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 86. Cinque L., Pugliese F., Salcuni A. S., et al., “Clinical and Molecular Description of the First Italian Cohort of 33 Subjects With Hypophosphatasia,” Frontiers in Endocrinology 14 (2023): 1205977. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 87. Sanabria‐de la Torre R., Martínez‐Heredia L., González‐Salvatierra S., et al., “Characterization of Genetic Variants of Uncertain Significance for the ALPL Gene in Patients With Adult Hypophosphatasia,” Frontiers in Endocrinology 13 (2022): 863940. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 88. MacCarrick G., Aradhya S., Bailey M., et al., “Clinical Utility of Comprehensive Gene Panel Testing for Common and Rare Causes of Skeletal Dysplasia and Other Skeletal Disorders: Results From the Largest Cohort to Date,” American Journal of Medical Genetics. Part A 194, no. 9 (2024): e63646. [DOI] [PubMed] [Google Scholar]
  • 89. Martos‐Moreno G. A., Calzada J., Couce M. L., and Argente J., “Hypophosphatasia: Clinical Manifestations, Diagnostic Recommendations and Therapeutic Options,” Anales de Pediatría (English Edition) 88, no. 6 (2018): 356.e351–356.e311. [DOI] [PubMed] [Google Scholar]
  • 90. Zeng Z., Zhang L., Zhou Y., et al., “Clinical Utility of Trio Whole Exome Sequencing in Fetuses With Ultrasound Anomalies,” Human Genomics 19, no. 1 (2025): 37. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 91. Sperelakis‐Beedham B., Taillandier A., Domingues C., et al., “Utility of Genetic Testing for Prenatal Presentations of Hypophosphatasia,” Molecular Genetics and Metabolism 132, no. 3 (2021): 198–203. [DOI] [PubMed] [Google Scholar]
  • 92. Offiah A. C., Vockley J., Munns C. F., and Murotsuki J., “Differential Diagnosis of Perinatal Hypophosphatasia: Radiologic Perspectives,” Pediatric Radiology 49, no. 1 (2019): 3–22. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 93. Chinoy A., Iruloh C., Kerr B., Mughal M. Z., and Padidela R., “Normal Mid‐Gestation Fetal Ultrasonography Cannot Reliably Exclude Severe Perinatal Hypophosphatasia,” Hormone Research in Pædiatrics 94, no. 7–8 (2021): 307–312. [DOI] [PubMed] [Google Scholar]
  • 94. Whyte M. P., “Hypophosphatasia,” in Genetics of Bone Biology and Skeletal Disease, 1st ed., ed. Thakker R. V., Whyte M. P., Eisman J. A., and Igarashi T. (Academic Press, 2013), 337–360. [Google Scholar]
  • 95. Wenkert D., McAlister W. H., Coburn S. P., et al., “Hypophosphatasia: Nonlethal Disease Despite Skeletal Presentation In Utero (17 New Cases and Literature Review),” Journal of Bone and Mineral Research 26, no. 10 (2011): 2389–2398. [DOI] [PubMed] [Google Scholar]
  • 96. Stevenson D. A., Carey J. C., Coburn S. P., et al., “Autosomal Recessive Hypophosphatasia Manifesting In Utero With Long Bone Deformity but Showing Spontaneous Postnatal Improvement,” Journal of Clinical Endocrinology and Metabolism 93, no. 9 (2008): 3443–3448. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 97. Leblond M., Galati M., Roberts J., et al., “Co‐Creating the Experience of Consent for Newborn Genome Sequencing: The Generation Study,” Public Health Genomics 27, no. 1 (2024): 210–227. [DOI] [PubMed] [Google Scholar]
  • 98. Chen T., Fan C., Huang Y., et al., “Genomic Sequencing as a First‐Tier Screening Test and Outcomes of Newborn Screening,” JAMA Network Open 6, no. 9 (2023): e2331162. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 99. Sudlow C., Gallacher J., Allen N., et al., “UK Biobank: An Open Access Resource for Identifying the Causes of a Wide Range of Complex Diseases of Middle and Old Age,” PLoS Medicine 12, no. 3 (2015): e1001779. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 100. Denny J. C., Rutter J. L., Goldstein D. B., et al., “The “All of Us” Research Program,” New England Journal of Medicine 381, no. 7 (2019): 668–676. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 101. Ritchie M. D., Denny J. C., Crawford D. C., et al., “Robust Replication of Genotype‐Phenotype Associations Across Multiple Diseases in an Electronic Medical Record,” American Journal of Human Genetics 86, no. 4 (2010): 560–572. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 102. Kingsmore S. F., “Dispatches From Biotech Beginning BeginNGS: Rapid Newborn Genome Sequencing to End the Diagnostic and Therapeutic Odyssey,” American Journal of Medical Genetics. Part C, Seminars in Medical Genetics 190, no. 2 (2022): 243–256. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplementary Data: jimd70090‐sup‐0001‐Data.docx.

JIMD-48-0-s001.docx (21.3KB, docx)

Data Availability Statement

Alexion, AstraZeneca Rare Disease will consider requests for disclosure of clinical study participant‐level data provided that participant privacy is assured through methods like data de‐identification, pseudonymization, or anonymization (as required by applicable law), and if such disclosure was included in the relevant study informed consent form or similar documentation. Qualified academic investigators may request participant‐level clinical data and supporting documents (statistical analysis plan and protocol) pertaining to Alexion‐sponsored studies. Further details regarding data availability and instructions for requesting information are available in the Alexion Clinical Trials Disclosure and Transparency Policy at https://www.alexionclinicaltrialtransparency.com/data‐requests/.


Articles from Journal of Inherited Metabolic Disease are provided here courtesy of Wiley

RESOURCES