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Orphanet Journal of Rare Diseases logoLink to Orphanet Journal of Rare Diseases
. 2021 Feb 23;16:98. doi: 10.1186/s13023-021-01735-2

No evidence for preferential X-chromosome inactivation as the main cause of divergent phenotypes in sisters with X-linked hypohidrotic ectodermal dysplasia

Laura Körber 1, Holm Schneider 1, Nicole Fleischer 2, Sigrun Maier-Wohlfart 1,
PMCID: PMC7901220  PMID: 33622384

Abstract

Background

X-linked hypohidrotic ectodermal dysplasia (XLHED), a rare genetic disorder, affects the normal development of ectodermal derivatives, such as hair, skin, teeth, and sweat glands. It is caused by pathogenic variants of the gene EDA and defined by a triad of hypotrichosis, hypo- or anodontia, and hypo- or anhidrosis which may lead to life-threatening hyperthermia. Although female carriers are less severely affected than male patients, they display symptoms, too, with high phenotypic variability. This study aimed to elucidate whether phenotypic differences in female XLHED patients with identical EDA genotypes might be explained by deviating X-chromosome inactivation (XI) patterns.

Methods

Six families, each consisting of two sisters with the same EDA variant and their parents (with either mother or father being carrier of the variant), participated in this study. XLHED-related data like sweating ability, dental status, facial dysmorphism, and skin issues were assessed. We determined the women`s individual XI patterns in peripheral blood leukocytes by the human androgen receptor assay and collated the results with phenotypic features.

Results

The surprisingly large inter- and intrafamilial variability of symptoms in affected females was not explicable by the pathogenic variants. Our cohort showed no higher rate of nonrandom XI in peripheral blood leukocytes than the general female population. Furthermore, skewed XI patterns in favour of the mutated alleles were not associated with more severe phenotypes.

Conclusions

We found no evidence for preferential XI in female XLHED patients and no distinct correlation between XLHED-related phenotypic features and XI patterns. Phenotypic variability seems to be evoked by other genetic or epigenetic factors.

Keywords: X-linked hypohidrotic ectodermal dysplasia, Ectodysplasin A, Female carriers, X-chromosome inactivation, Genotype–phenotype correlation

Introduction

X-chromosomal hypohidrotic ectodermal dysplasia (XLHED; MIM #305100) is a rare combined malformation of ectodermal tissues such as hair, teeth, and sweat glands, resulting in hypotrichosis, hypo-, oligo- or anodontia and hypo- or anhidrosis [1, 2]. The most crucial deficiency is the strongly reduced or missing ability to sweat, potentially leading to life-threatening hyperthermia, especially in infants [3]. Numerous pathogenic variants of the ectodysplasin A gene (EDA; NM_001399.4) are known to cause malfunctioning of the signaling protein EDA1 [4]. The presence of a certain single nucleotide polymorphism (SNP) rs3827760 (c.1109T>C; p.Val370Ala) in the gene EDAR (NM_022336.3; coding for the ectodysplasin A receptor) has been discussed to alleviate XLHED-related issues [5].

Beside the cardinal symptoms mentioned above, patients may show typical signs of facial dysmorphia (periorbital wrinkles and hyperpigmentation, frontal bossing, prominent lips, protruding ears). Due to the defective development of eccrine glands, individuals with XLHED often suffer from a very dry and/or eczematous skin, atrophic rhinitis, dry eyes, respiratory ailments, and in case of females, malformation of mammary glands [1,2,6–10].

Following an X-linked recessive inheritance pattern, normally only hemizygous males show the complete cluster of symptoms while heterozygous women were primarily considered as carriers. Although many females heterozygous for an EDA variant are indeed more mildly affected than male patients, they often do present distinct symptoms of pathological significance. They may lack numerous teeth and sweating ability [6] and, as a result of deficient breast development (which goes as far as uni- or bilateral amastia), difficulties with breastfeeding are experienced frequently [11].

Female XLHED patients with identical pathogenic EDA variants (e.g., sisters) occasionally present phenotypic features that vary in expression, which might be explained through the mechanism of preferential X-chromosome inactivation (XI). Usually, women show a random inactivation of one of the two X chromosomes in each somatic cell, which leads to an approximate 50:50 ratio of maternal to paternal X-chromosome expression (lyonization for dosage compensation) [12]. However, there are also women with a preferential or skewed XI, a phenomenon occasionally (but not exclusively) found in carriers of X-linked diseases. In these cases the ratio differs in favour of one of the two X-chromosomes, mostly that of the healthy wild-type allele, probably due to selective advantages of these cells. Cases of XLHED were discussed previously in this context [13–16].

So far, XLHED patients have been treated merely symptomatically. However, a new therapeutic approach appears to be very promising: the prenatal administration of a recombinant EDA1 molecule, which has already been applied to several boys (named patient use) resulting in normal sweating ability and improved dentition [17]. In order to evaluate this prenatal treatment, a clinical trial for yet unborn male patients is being prepared. The study presented here could lead to a better understanding of potential genotype–phenotype correlations in women with XLHED who have received only little scientific attention so far. These insights will most likely be of significance when it comes to the question whether affected females might also benefit from prenatal drug therapy.

Subjects and methods

Study design and patients

Six families (F1–F6), each consisting of two sisters (S1 and S2) and their parents (M, mother; one pair of siblings has different biological fathers), were included in this study. All sisters are carriers of pathogenic EDA variants with maternal inheritance in four and paternal inheritance in two of the familial cases.

DNA analysis

DNA isolation from peripheral blood, polymerase chain reaction and subsequent Sanger sequencing were performed as described previously [18]. Specific oligonucleotide primer sequences and thermal cycling conditions for the detection of EDA and EDAR variants are available upon request.

Clinical status and tooth quantification

Anthropometric data included body length in cm, weight in kg and body mass index (BMI) in kg/m2. HED-relevant issues (including general health, heat intolerance, dentition, skin and hair abnormalities) were assessed by questionnaires and physical examinations.

Assessment of sweating ability

Quantification of pilocarpine-induced sweating (volumetry) in an area of 57 mm2 of the forearm for 30 min using the Wescor 3700 device (Wescor, Logan, USA) was performed as described before [17].

Face2Gene analysis

Face2Gene (https://www.face2gene.com/), a next generation phenotyping tool developed by FDNA Inc. (Boston MA, USA), uses a facial recognition algorithm called DeepGestalt for evaluation of facial dysmorphisms. This technology quantifies similarities of facial frontal photographs of patients with hundreds of different syndromes the system has been trained on, resulting in a list of possible syndrome matches, ranked by a score called Gestalt Score (between 0 and 1) [19].

HUMARA assay

The human androgen receptor (HUMARA) assay, a PCR-based method for the investigation of X-inactivation patterns, enables the discrimination between the maternal and paternal as well as the active and inactive X chromosome. A highly polymorphic trinucleotide repeat of exon 1 of the HUMARA gene allows to distinguish the two alleles (via their individual nucleotide length) and is informative in about 90% of all females. Cleavage sites for methylation sensitive restriction enzymes (HpaII and CfoI) close to the polymorphism allow the determination of the active (unmethylated) and the inactive (methylated) allele [20]. After restriction enzyme digestion of the DNA and subsequent PCR amplification with a fluorophore-labeled forward primer, fragment analysis was carried out using a Beckman CEQ-8800 sequencer. The calculations for determining XI patterns were performed as described previously [21]. XI ratios between 50:50 and 65:35% were scored as random, 66:34–80:20% as moderately skewed and > 80:20% as highly skewed [22]. Two samples with known XI patterns (a random one with a proportion of 50:50% and a nonrandom one with a proportion of 100:0%) were used as controls.

Results

Although growth retardation and underweight are not rare among XLHED patients (male and female), anthropometric assessment of our cohort (mean age: 32.88, SD: 12.63) revealed no abnormalities (mean body length: 166.31 cm, SD: 4.76; mean body weight: 70.41 kg, SD: 14.75; mean BMI: 25.81, SD: 5.24) [23–25]. The mean number of deciduous teeth in the maxilla was 9.1 (SD: 1.37) and in the mandible 9.0 (SD: 1.63), however, data were not ascertainable in six out of 16 cases (38%). On average, the total number of permanent teeth in the upper jaw was 11.38 (SD: 2.28) and 10.19 (SD: 3.73) in the lower jaw. Except for one subject (F6_S1), all women were missing deciduous and/or permanent teeth, but with a high variability (Table 1).

Table 1.

Anthropometric measurements and tooth quantification

Code Age Length (in cm) Weight (in kg) BMI Number of deciduous teeth Number of permanent teeth
Maxilla Mandible Maxilla Mandible
F1_S1 16 167 52 19 8 6 12 10
F1_S2 19 165 70 26 9 10 13 14
F1_M 50 170 70 24 n/a n/a 5 0
F2_S1 20 159 53 26 10 6 8 5 (+ 1 DT)
F2_S2 17 170 63 22 10 10 12 12
F2_M 44 163 68 26 10 10 11 11
F3_S1 40 165 115 42 n/a n/a 11 (+ 1 DT) 9
F3_S2 37 157 70 28 n/a n/a 14 11
F4_S1 23 170 60.5 21 6 9 10 11 (+ 2 DT)
F4_S2 21 165 55 20 8 9 11 13
F4_M 49 168 74 26 n/a n/a 12 13
F5_S1 32 172 73 25 10 10 13 14
F5_S2 36 176 78 25 10 10 12 10
F6_S1 31 163 75 28 10 10 14 14
F6_S2 36 166 82 30 n/a n/a 11 7
F6_M 55 165 68 25 n/a n/a 13 9
Average 32.88 166.31 70.41 25.81 9.1 9.0 11.38 10.19
SD 12.63 4.76 14.75 5.24 1.37 1.63 2.28 3.73

Abbreviations: F, family; S, sister; M, mother; n/a, not available; DT, deciduous teeth; SD, standard deviation

56% of the affected women suffered from additional diseases, of which specific allergies, urticaria, neurodermatitis and eczema might be associated with their XLHED carrier status. Furthermore, six out  of 16 women (38%) reported to be photophobic and three (19%) had experienced recurrent conjunctivitis. Hearing impairments occurred in two (13%) of the patients (Table 2).

Table 2.

Medical history

Code Diseases other than XLHED Recurrent eye problems Hearing impairment
Photophobia Conjunctivitis
F1_S1 Allergy N N N
F1_S2 NAD N N N
F1_M NAD N N N
F2_S1 Urticaria, neurodermatitis Y Y Y
F2_S2 NAD Y N N
F2_M NAD Y N N
F3_S1 Diabetes Y N Y
F3_S2 NAD Y N N
F4_S1 NAD N N N
F4_S2 Hashimoto's thyroiditis N Y N
F4_M Hypothyroidism N Y N
F5_S1 Glaucoma Y N N
F5_S2 Hypothyroidism N N N
F6_S1 Hypothyroidism N N N
F6_S2 Allergy, eczema N N N
F6_M NAD N N N

Abbreviations: F, family; S, sister; M, mother; NAD, no abnormality detected; Y, yes; N, no

XLHED-related phenotypic features were assessed by the Face2Gene facial recognition algorithm and by patient questionnaires during the annual family conference of the German-Swiss-Austrian ectodermal dysplasia patient organization or during visits at the Center for Ectodermal Dysplasias in Erlangen. Except for two patients (F1_S2 and F6_S1), XLHED was among the list of possible syndrome matches suggested by Face2Gene (Gestalt Scores ranging from 0.06 to 0.38; male XLHED patients usually show scores of approximately 1.0, data not published). XLHED was not one of the syndrome matches suggested by Face2Gene when analyzing the portrait pictures of unaffected mothers who served as negative controls.

Eleven out  of 16 subjects (69%) reported skin problems like dry and eczematous skin or neurodermatitis. Furthermore, 13 women showed sparse and/or thin scalp hair (81%), sparse eyebrows (81%) and in ten cases also sparse eyelashes (63%). Breast abnormalities, often associated with breastfeeding difficulties, were noted in twelve (75%) of the patients (Table 3).

Table 3.

Phenotypic features

Code Gestalt Score*
(0─1)
Skin Scalp hair Eyebrows Eyelashes Breast
F1_S1 0.1 Partially dry NAD Sparse (esp. laterally) NAD Size asymmetry
F1_S2 u.a NAD NAD NAD NAD NAD
F1_M 0.15 Dry Sparse, thin Very sparse Very sparse No mammary gland (left), no breastfeeding (voluntarily)
F2_S1 0.1 Neurodermatitis, dry scalp Partially sparse Sparse Sparse Soft mamillae
F2_S2 0.15 NAD Thin, strawy Sparse (esp. laterally) Sparse (esp. laterally) NAD
F2_M 0.12 Thin skin, partially dry Sparse, bald spots (occipital) Sparse Sparse Breastfeeding difficulties
F3_S1 0.16 Partially eczematous, dry Sparse, bald spots (hairline and lateral) Sparse (esp. laterally) Sparse Flat mamillae
F3_S2 0.13 Very dry NAD NAD Sparse Size asymmetry
F4_S1 0.16 NAD Rather sparse Sparse (esp. laterally) NAD NAD
F4_S2 0.37 Partially dry Rather sparse Sparse (esp. laterally) NAD NAD
F4_M 0.27 Dry Sparse, thin Rather sparse NAD Flat mamillae
F5_S1 0.06 Dry Rather sparse Rather sparse Rather sparse Breastfeeding difficulties
F5_S2 0.15 NAD Rather sparse, thin Sparse (esp. laterally) Rather sparse No breastfeeding, benign tumor
F6_S1 u.a NAD Partially sparse NAD NAD Breastfeeding difficulties due to small mamillae
F6_S2 0.38 Eczematous (permanent steroid treatment) Sparse Sparse (esp. laterally) Sparse Breastfeeding difficulties
F6_M 0.15 Psoriasis Partially sparse Sparse Sparse Breastfeeding difficulties

Abbreviations: *, rounded; F, family; S, sister; M, mother; u.a., unable to assess; NAD, no abnormality detected; esp., especially

Heat intolerance was reported by six out  of 16 women (38%), although all subjects were able to sweat in at least some areas of their body. Hypohidrosis impaired daily life in four subjects (25%) and sporting activities in seven (44%) of the patients (Table 4). Pilocarpine-induced sweat volume on the forearm was 28.3 µl on average (SD: 23.5) and was ranging from complete anhidrosis (F1_S1) to normal sweating ability (Fig. 1; mean pilocarpine-induced sweat volume of healthy women: 61 μl [6]).

Table 4.

Data related to sweating ability and heat intolerance

Code Reported heat intolerance Body areas with reported sweating ability Reported impact of reduced sweating on:
Daily life Sports
F1_S1 Y Y N Y
F1_S2 N Y N N
F1_M N Y N Y
F2_S1 Y Y Y Y
F2_S2 N Y N Y
F2_M N Y N N
F3_S1 Y Y Y Y
F3_S2 N Y N N
F4_S1 N Y N N
F4_S2 N Y N N
F4_M Y Y N N
F5_S1 N Y N Y
F5_S2 N Y N N
F6_S1 N Y N N
F6_S2 Y Y Y N
F6_M Y Y Y Y

Abbreviations: F, family; S, sister; M, mother; Y, yes; N, no

Fig. 1.

Fig. 1

Quantification of pilocarpine-induced sweat production (volume in µL). Sisters are represented in black, mothers (whenever available for sweat collection) in grey

All familial variants identified in this study are known to be pathogenic and are associated with severe phenotypes in affected males (Table 5) [18,26–29]. None of the participants carried the potentially compensating SNP rs3827760 in the gene EDAR. The HUMARA assay revealed that eleven out  of 16 affected women (69%) display random, four (25%) moderately, and one (6%) highly skewed XI patterns. None of our female patients showed a complete inactivation of one of the two X chromosomes. Among the five cases with skewed XI, this was in favour of the wild-type allele (indicated by the higher XI ratio for the mutated allele) only in patient F4_M, while in the remaining four women (F3_S1, F5_S1, F6_S1 and F6_S2) the mutated allele was the preferentially active one (Table 5).

Table 5.

EDA genotypes of affected individuals and X-chromosome inactivation patterns

Code EDA variant Changes at the amino acid level Predicted effect XI ratios in % (A1:A2)* Classification
F1_S1 c.64_71dup8 p.Cys25AlafsX35 Truncated, dysfunctional protein, possibly causing NMD 51:49 Random
F1_S2 c.64_71dup8 p.Cys25AlafsX35 Truncated, dysfunctional protein, possibly causing NMD 54:46 Random
F1_M c.64_71dup8 p.Cys25AlafsX35 Truncated, dysfunctional protein, possibly causing NMD 47:53 Random
F2_S1 c.917A>G p.Gln306Arg Impaired receptor binding 37:63 Random
F2_S2 c.917A>G p.Gln306Arg Impaired receptor binding 51:49 Random
F2_M c.917A>G p.Gln306Arg Impaired receptor binding 64:36 Random
F3_S1 c.871G>A p.Gly291Arg Impaired receptor binding 31:69 Moderately skewed
F3_S2 c.871G>A p.Gly291Arg Impaired receptor binding 65:35 Random
F3_F c.871G>A p.Gly291Arg Impaired receptor binding / /
F4_S1 c.467G>A p.Arg156His Abolished furin cleavage 46:54 Random
F4_S2 c.467G>A p.Arg156His Abolished furin cleavage 39:61 Random
F4_M c.467G>A p.Arg156His Abolished furin cleavage 30:70 Moderately skewed
F5_S1 c.1045G>A p.Ala349Thr Impaired receptor binding 76:24 Moderately skewed
F5_S2 c.1045G>A p.Ala349Thr Impaired receptor binding 61:39 Random
F5_F c.1045G>A p.Ala349Thr Impaired receptor binding / /
F6_S1 c.1133C>T p.Thr378Met Impaired receptor binding 81:19 Highly skewed
F6_S2 c.1133C>T p.Thr378Met Impaired receptor binding 71:29 Moderately skewed
F6_M c.1133C>T p.Thr378Met Impaired receptor binding 54:46 Random

Abbreviations: F, family; S, sister; M, mother; NMD, nonsense-mediated decay; A1, allele 1 (the shorter allele); A2, allele 2 (the longer allele); *rounded mean values of the experiments using HpaII and CfoI, respectively; bold values mark the alleles with the disease-causing EDA variant

A comparison of the sweating abilities and XI patterns revealed no distinct correlation (limitations of this assessment are discussed later in the text). For example, the families F1 and F2 show distinct intrafamilial variations with regard to their sweating abilities, but these differences are not reflected by their XI status (all members with random XI ratios). Although patient F3_S1 with negligible sweat production was found to have skewed XI in favour of the mutation-carrying cells, the complete opposite was true for F6_S1, a woman with a similar XI pattern (also in favour of the mutated allele) but almost normal sweating ability.

Discussion

One of the aims of this study was to gather and compare XLHED-related phenotypic features of females carrying pathogenic EDA variants, a group of patients who received only little scientific attention so far. Furthermore, we intended to find out whether variations in the expression of XLHED-related symptoms might be explained by deviating XI patterns as already reported for other X-linked diseases. In these cases, women escape the normally balanced mosaicism and show an increased expression level in one of the cell populations, or a decreased one, respectively.

The portion of patients with nonrandom XI patterns in our cohort is marginally higher than in the general female population, as approximately 10–30% (age-dependent) of unaffected women present skewed XI patterns (deviations of percentage rates found in the literature result from variable definitions of the threshold values for the XI ratios) [21,30–32]. The previously reported relation between the age of the women and higher skewing rates was not observed in our group of patients, which might be due to the limited cohort size.

We did not find a distinct correlation between disease manifestation and the XI pattern, concluding that XI is not the only explanation for phenotypic differences between female carriers of the same pathogenic EDA variant. Martínez-Romero et al. report similar results in their cohort of female XLHED patients in Spain [16]. Although XI patterns are usually comparable among the different tissues of the same individual, cases of tissue-specific discordance have been reported, too. Furthermore, this variability seems to be age-dependent and is particularly evident in women older than 60 years [32–35]. Peripheral blood leukocytes are commonly used for the investigation of selection mechanisms in XI-associated diseases, not only due to their easy accessibility but also to the high cell division rate. This leads to a higher selection pressure on cells carrying proliferation-inhibiting mutations and therefore on average to slightly higher rates of skewed XI [36, 37]. The XI patterns of blood and saliva in a Danish XLHED cohort showed a strong correlation [38]. Although determination of XI patterns in peripheral blood leukocytes by the HUMARA assay is a well-established procedure, there are limitations of the method and the current study. For example, the HUMARA assay is not informative in approximately 10% of the female population, so that other techniques have to be applied. In such cases, the XI status could be determined at the RNA level by analyzing the expression of informative X-linked polymorphisms [39]. Furthermore, tissue-specific variations of XI ratios cannot be excluded, but DNA from a sufficient number of skin biopsies or teeth is usually not available.

Cutaneous mosaicism, however, may present in different patterns, such as patches or lateralization, or following the linear lines of Blaschko. As we do not know whether the skin area where sweat was collected is affected or not, we cannot conclude much about the correlation between XI patterns and sweating ability.

Interestingly, several female patients reported about local differences (distinct from the lines of Blaschko) regarding the phenotypic expression, namely unilaterally reduced hair growth and sweating ability. The reason for lateralization, which has already been observed in other skin diseases, remains unclear [40].

Generally, skewed XI patterns can be evoked either by chance as a stochastic event, due to an impairment of the XI process itself (e. g. mutations in the XI-specific XIST gene) or because of selection mechanisms (the latter is hypothesized to occur more often in carriers of X-linked disorders [41, 42]. However, a selective advantage of one of the cell populations is always unidirectional and can therefore be excluded, as we found skewed XI ratios both in favour of the wild-type and the mutant allele.

The different pathogenic EDA variants of the six families are known to lead to comparable, full-blown clinical symptoms of XLHED in male patients. None of the patients carried the EDAR SNP rs3827760, a variant reported to potentially attenuate the severity of XLHED-related signs [5]. Nevertheless, other genetic or epigenetic factors, such as yet undetected polymorphisms, might have an impact on the patients’ phenotypes. They could be detected by future whole exome sequencing and subsequent genotype–phenotype association studies.

Conclusions

Although we neither found higher rates of nonrandom XI in our patients nor a distinct correlation between skewed XI ratios and phenotypic expression levels, it is conceivable that in some cases extremely shifted levels might have protective or pathogenic effects, respectively. Our research accentuates the need for further large-cohort studies (comparing not only family members, but also unrelated female carriers of the same EDA genotype) for final conclusions. This, however, might be challenging because of the rarity of XLHED and the fact that asymptomatic carriers without affected male relatives usually remain undetected. Moreover, a determination of generally accepted criteria for the classification of XLHED phenotypes as mild, moderate or severe will be needed for more objective evaluations. This study is the first systematic approach to phenotyping in female XLHED patients, which might be relevant for the question whether a medical treatment option currently explored in clinical trials should also be considered for affected females.

Acknowledgements

We are very grateful to all patients and their families for participating in our study and to the Zangger Foundation (Switzerland) for funding. Furthermore, we thank Dr. J. A. Lee and Dr. J. Jones (Greenwood Genetic Center) for providing us DNA samples with different XI patterns as positive controls. Two of the authors of this publication are members of the European Reference Network (ERN) Skin, project ID number 739543.

Abbreviations

ED

Ectodermal dysplasia

EDA

Ectodysplasin A

HED

Hypohidrotic ectodermal dysplasia

HUMARA

The human androgen receptor assay

SNP

Single-nucleotide polymorphism

XI

X-chromosome inactivation

XLHED

X-linked hypohidrotic ectodermal dysplasia

Authors’ contributions

HS and SMW conceptualized and designed the study. LK, HS and SMW collected and evaluated data, drafted the initial manuscript, and reviewed and revised it. NF carried out the Face2Gene analyses and critically reviewed the manuscript for intellectual content. Most of the work was performed by LK in fulfillment of the requirements for obtaining the degree Dr. med. from the Friedrich-Alexander University Erlangen-Nürnberg. All authors approved the final manuscript as submitted and agree to be accountable for all aspects of the work.

Authors' information

NF is an employee of FDNA Inc., the company developing Face2Gene.

Funding

Open Access funding enabled and organized by Projekt DEAL. This study was funded by the Zangger Foundation (research grant to HS).

Availability of data and materials

The datasets used and analysed during the current study are available from the corresponding author on reasonable request.

Consent for publication

Not applicable.

Ethics approval and consent to participate

This study was approved by the ethics committee of the University Erlangen-Nürnberg. All individuals gave written informed consent to participate (including consent to the use of their blood, respectively DNA, for molecular analysis). The study was conducted in accordance with the principles of the declaration of Helsinki.

Competing interests

The authors declare that they have no competing interests.

Footnotes

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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Associated Data

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

Data Availability Statement

The datasets used and analysed during the current study are available from the corresponding author on reasonable request.


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